Updated 22/Nov/2021 by Yoshihisa Nitta  

Wasserstein Generative Adversarial Network for CIFAR-10 dataset with Tensorflow 2 on Google Colab

Train Wasserstein Generative Adversarial Network (WGAN) on CIFAR-10 dataset.

CIFAR-10 データセットに対して Wasserstein Generative Adversarial Network (WGAN) をGoogle Colab 上の Tensorflow 2 で学習する

CIFAR-10 データセットに対して Wasserstein Generative Adversarial Network (WGAN) を学習させる。

In [1]:
#! pip install tensorflow==2.7.0
In [2]:
%tensorflow_version 2.x

import tensorflow as tf
print(tf.__version__)
2.7.0

Check the Google Colab runtime environment

Google Colab 実行環境を調べる

In [3]:
! nvidia-smi
! cat /proc/cpuinfo
! cat /etc/issue
! free -h
Tue Nov 23 06:46:02 2021       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 495.44       Driver Version: 460.32.03    CUDA Version: 11.2     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  Tesla P100-PCIE...  Off  | 00000000:00:04.0 Off |                    0 |
| N/A   36C    P0    26W / 250W |      0MiB / 16280MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+
processor	: 0
vendor_id	: GenuineIntel
cpu family	: 6
model		: 63
model name	: Intel(R) Xeon(R) CPU @ 2.30GHz
stepping	: 0
microcode	: 0x1
cpu MHz		: 2299.998
cache size	: 46080 KB
physical id	: 0
siblings	: 2
core id		: 0
cpu cores	: 1
apicid		: 0
initial apicid	: 0
fpu		: yes
fpu_exception	: yes
cpuid level	: 13
wp		: yes
flags		: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm invpcid_single ssbd ibrs ibpb stibp fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid xsaveopt arat md_clear arch_capabilities
bugs		: cpu_meltdown spectre_v1 spectre_v2 spec_store_bypass l1tf mds swapgs
bogomips	: 4599.99
clflush size	: 64
cache_alignment	: 64
address sizes	: 46 bits physical, 48 bits virtual
power management:

processor	: 1
vendor_id	: GenuineIntel
cpu family	: 6
model		: 63
model name	: Intel(R) Xeon(R) CPU @ 2.30GHz
stepping	: 0
microcode	: 0x1
cpu MHz		: 2299.998
cache size	: 46080 KB
physical id	: 0
siblings	: 2
core id		: 0
cpu cores	: 1
apicid		: 1
initial apicid	: 1
fpu		: yes
fpu_exception	: yes
cpuid level	: 13
wp		: yes
flags		: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm invpcid_single ssbd ibrs ibpb stibp fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid xsaveopt arat md_clear arch_capabilities
bugs		: cpu_meltdown spectre_v1 spectre_v2 spec_store_bypass l1tf mds swapgs
bogomips	: 4599.99
clflush size	: 64
cache_alignment	: 64
address sizes	: 46 bits physical, 48 bits virtual
power management:

Ubuntu 18.04.5 LTS \n \l

              total        used        free      shared  buff/cache   available
Mem:            12G        877M        5.0G        1.2M        6.9G         11G
Swap:            0B          0B          0B

Mount Google Drive from Google Colab

Google Colab から GoogleDrive をマウントする

In [4]:
from google.colab import drive
drive.mount('/content/drive')
Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount("/content/drive", force_remount=True).
In [5]:
! ls /content/drive
MyDrive  Shareddrives

Download source file from Google Drive or nw.tsuda.ac.jp

Basically, gdown from Google Drive. Download from nw.tsuda.ac.jp above only if the specifications of Google Drive change and you cannot download from Google Drive.

Google Drive または nw.tsuda.ac.jp からファイルをダウンロードする

基本的に、Google Drive から gdown してください。 Google Drive の仕様が変わってダウンロードができない場合にのみ、nw.tsuda.ac.jp からダウンロードしてください。

In [6]:
# Download source file
nw_path = './nw'
! rm -rf {nw_path}
! mkdir -p {nw_path}

if True:   # from Google Drive
    url_model =  'https://drive.google.com/uc?id=1_sguC9Vm-1a1IKl-XueWSTymAJcNr4Cl'
    ! (cd {nw_path}; gdown {url_model})
else:      # from nw.tsuda.ac.jp
    URL_NW = 'https://nw.tsuda.ac.jp/lec/GoogleColab/pub'
    url_model = f'{URL_NW}/models/WGAN.py'
    ! wget -nd {url_model} -P {nw_path}
Downloading...
From: https://drive.google.com/uc?id=1_sguC9Vm-1a1IKl-XueWSTymAJcNr4Cl
To: /content/nw/WGAN.py
100% 15.9k/15.9k [00:00<00:00, 13.2MB/s]
In [7]:
! cat {nw_path}/WGAN.py
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt

import os
import pickle as pkl
import datetime


class WGAN():
    def __init__(
        self,
        input_dim,
        critic_conv_filters,
        critic_conv_kernel_size,
        critic_conv_strides,
        critic_batch_norm_momentum,
        critic_activation,
        critic_dropout_rate,
        critic_learning_rate,
        generator_initial_dense_layer_size,
        generator_upsample,
        generator_conv_filters,
        generator_conv_kernel_size,
        generator_conv_strides,
        generator_batch_norm_momentum,
        generator_activation,
        generator_dropout_rate,
        generator_learning_rate,
        optimizer,
        z_dim,
        epoch = 0,
        d_losses = [],
        g_losses = []
    ):
        self.name = 'wgan'
        self.input_dim = input_dim
        
        self.critic_conv_filters = critic_conv_filters
        self.critic_conv_kernel_size = critic_conv_kernel_size
        self.critic_conv_strides = critic_conv_strides
        self.critic_batch_norm_momentum = critic_batch_norm_momentum
        self.critic_activation = critic_activation
        self.critic_dropout_rate = critic_dropout_rate
        self.critic_learning_rate = critic_learning_rate
        
        self.generator_initial_dense_layer_size = generator_initial_dense_layer_size
        self.generator_upsample = generator_upsample
        self.generator_conv_filters = generator_conv_filters
        self.generator_conv_kernel_size = generator_conv_kernel_size
        self.generator_conv_strides = generator_conv_strides
        self.generator_batch_norm_momentum = generator_batch_norm_momentum
        self.generator_activation = generator_activation
        self.generator_dropout_rate = generator_dropout_rate
        self.generator_learning_rate = generator_learning_rate
        
        self.optimizer = optimizer
        self.z_dim = z_dim

        self.n_layers_critic = len(critic_conv_filters)
        self.n_layers_generator = len (generator_conv_filters)

        self.weight_init = tf.keras.initializers.RandomNormal(mean=0., stddev=0.02)

        self.epoch = epoch

        self.d_losses = d_losses
        self.g_losses = g_losses


        self._build_critic()
        self._build_generator()

        self._build_adversarial()

    def wasserstein(self, y_true, y_pred):
        return - tf.keras.backend.mean(y_true * y_pred)
    
    def get_activation(self, activation):
        if activation == 'leaky_relu':
            layer = tf.keras.layers.LeakyReLU(alpha = 0.2)
        else:
            layer = tf.keras.layers.Activation(activation)
        return layer

    def _build_critic(self):

        ### The Critic
        critic_input = tf.keras.layers.Input(shape=self.input_dim, name='critic_input')

        x = critic_input

        for i in range(self.n_layers_critic):
            x = tf.keras.layers.Conv2D(
                filters = self.critic_conv_filters[i],
                kernel_size = self.critic_conv_kernel_size[i],
                strides = self.critic_conv_strides[i],
                padding = 'same',
                name = 'critic_conv_' + str(i),
                kernel_initializer = self.weight_init
            )(x)
            if self.critic_batch_norm_momentum and i > 0:
                x = tf.keras.layers.BatchNormalization(momentum = self.critic_batch_norm_momentum)(x)
            x = self.get_activation(self.critic_activation)(x)
            if self.critic_dropout_rate:
                x = tf.keras.layers.Dropout(rate=self.critic_dropout_rate)(x)
        x = tf.keras.layers.Flatten()(x)
        critic_output = tf.keras.layers.Dense(1, activation=None, kernel_initializer = self.weight_init)(x)
        self.critic = tf.keras.models.Model(critic_input, critic_output)

    def _build_generator(self):
        ### The Generator
        generator_input = tf.keras.layers.Input(shape=(self.z_dim,), name='generator_input')

        x = generator_input
        x = tf.keras.layers.Dense(np.prod(self.generator_initial_dense_layer_size), kernel_initializer = self.weight_init)(x)

        if self.generator_batch_norm_momentum:
            x = tf.keras.layers.BatchNormalization(momentum=self.generator_batch_norm_momentum)(x)
        x = self.get_activation(self.generator_activation)(x)
        x = tf.keras.layers.Reshape(self.generator_initial_dense_layer_size)(x)
        if self.generator_dropout_rate:
            x = tf.keras.layers.Dropout(rate=self.generator_dropout_rate)(x)
        for i in range(self.n_layers_generator):
            if self.generator_upsample[i] == 2:
                x = tf.keras.layers.UpSampling2D()(x)
                x = tf.keras.layers.Conv2D(
                    filters=self.generator_conv_filters[i],
                    kernel_size=self.generator_conv_kernel_size[i],
                    padding='same',
                    #strides=self.generator_conv_strides[i],  #[自分へのメモ]元のソースにはこの行はないので追加した。BUG ???
                    name='generator_conv_'+str(i),
                    kernel_initializer=self.weight_init
                )(x)
            else:
                x = tf.keras.layers.Conv2DTranspose(
                    filters=self.generator_conv_filters[i],
                    kernel_size=self.generator_conv_kernel_size[i],
                    padding='same',
                    strides=self.generator_conv_strides[i],
                    name='generator_conv_'+str(i),
                    kernel_initializer=self.weight_init
                )(x)

            if i < self.n_layers_generator -1:
                if self.generator_batch_norm_momentum:
                    x = tf.keras.layers.BatchNormalization(momentum=self.generator_batch_norm_momentum)(x)
                x = self.get_activation(self.generator_activation)(x)
            else:
                x = tf.keras.layers.Activation('tanh')(x)

        generator_output = x
        self.generator = tf.keras.models.Model(generator_input, generator_output)

    def get_opti(self, lr):
        if self.optimizer == 'adam':
            opti = tf.keras.optimizers.Adam(learning_rate=lr, beta_1=0.5)
        elif self.optimizer == 'rmsprop':
            opti = tf.keras.optimizers.RMSprop(learning_rate=lr)
        else:
            opti = tf.keras.optimizers.Adam(learning_rate=lr)
        return opti

    def set_trainable(self, m, val):
        m.trainable = val
        for l in m.layers:
            l.trainable = val

    def _build_adversarial(self):
        
        ### Compile critic
        self.critic.compile(
            optimizer=self.get_opti(self.critic_learning_rate),
            loss=self.wasserstein
        )
        
        ### Compile The Full GAN
        self.set_trainable(self.critic, False)
        model_input = tf.keras.layers.Input(shape=(self.z_dim,), name='model_input')
        model_output = self.critic(self.generator(model_input))
        self.model = tf.keras.models.Model(model_input, model_output)

        self.model.compile(
            optimizer=self.get_opti(self.generator_learning_rate),
            loss=self.wasserstein
        )

        self.set_trainable(self.critic, True)

    def train_critic(self, x_train, batch_size, clip_threshold, using_generator):
        valid = np.ones((batch_size, 1))
        fake = -np.ones((batch_size, 1))

        if using_generator:
            true_imgs = next(x_train)[0]    # next() function generates images ???
            if true.imgs.shape[0] != batch_size:
                true_imgs = next(x_train)[0]
        else:
            idx = np.random.randint(0, x_train.shape[0], batch_size)
            true_imgs = x_train[idx]

        noise = np.random.normal(0, 1, (batch_size, self.z_dim))
        gen_imgs = self.generator.predict(noise)

        d_loss_real = self.critic.train_on_batch(true_imgs, valid)
        d_loss_fake = self.critic.train_on_batch(gen_imgs, fake)
        d_loss = 0.5 * (d_loss_real + d_loss_fake)
        
        for l in self.critic.layers:
            weights = l.get_weights()
            weights = [np.clip(w, -clip_threshold, clip_threshold) for w in weights]
            l.set_weights(weights)

        # for l in self.critic.layers:
        #     weights = l.get_weights()
        #     if 'batch_normalization' in l.get_config()['name']:
        #         # weights = [np.clip(w, -0.01, 0.01) for w in weights[:2]] + weights[2:]
        #         pass
        #    else:
        #         weights = [np.clip(w, -0.01, 0.01) for w in weights]
        #     l.set_weights(weights)

        return [d_loss, d_loss_real, d_loss_fake]

    def train_generator(self, batch_size):
        valid = np.ones((batch_size, 1))
        noise = np.random.normal(0, 1, (batch_size, self.z_dim))
        return self.model.train_on_batch(noise, valid)

    def train(self, x_train, batch_size, epochs, run_folder, print_every_n_batches=1000, n_critic=5, clip_threshold=0.01, using_generator=False):
        start_time = datetime.datetime.now()

        for epoch in range(self.epoch, epochs):
            for _ in range(n_critic):
                d_loss = self.train_critic(x_train, batch_size, clip_threshold, using_generator)
            g_loss = self.train_generator(batch_size)

            elapsed_time = datetime.datetime.now() - start_time
            print(f'{epoch+1} [D loss: {d_loss[0]:.3f} R {d_loss[1]:.3f} F {d_loss[2]:.3f}] [G loss: {g_loss:.3f}]  {elapsed_time}')

            self.d_losses.append(d_loss)
            self.g_losses.append(g_loss)

            self.epoch += 1

            if self.epoch % print_every_n_batches == 0:
                self.save(run_folder, self.epoch)
                self.save(run_folder)

        self.save(run_folder, self.epoch)
        self.save(run_folder)


    def save(self, folder, epoch=None):
        self.save_params(folder, epoch)
        self.save_weights(folder,epoch)


    @staticmethod
    def load(folder, epoch=None):
        params = WGAN.load_params(folder, epoch)
        gan = WGAN(*params)
        gan.load_weights(folder, epoch)

        return gan


    def save_weights(self, run_folder, epoch=None):
        if epoch is None:
            self.save_model_weights(self.critic, os.path.join(run_folder, 'weights/critic-weights.h5'))
            self.save_model_weights(self.generator, os.path.join(run_folder, 'weights/generator-weights.h5'))
            self.save_model_weights(self.model, os.path.join(run_folder, 'weights/weights.h5'))
        else:
            self.save_model_weights(self.critic, os.path.join(run_folder, f'weights/critic-weights_{epoch}.h5'))
            self.save_model_weights(self.generator, os.path.join(run_folder, f'weights/generator-weights_{epoch}.h5'))
            self.save_model_weights(self.model, os.path.join(run_folder, f'weights/weights_{epoch}.h5'))


    def load_weights(self, run_folder, epoch=None):
        if epoch is None:
            self.load_model_weights(self.critic, os.path.join(run_folder, 'weights/critic-weights.h5'))
            self.load_model_weights(self.generator, os.path.join(run_folder, 'weights/generator-weights.h5'))
            self.load_model_weights(self.model, os.path.join(run_folder, 'weights/weights.h5'))
        else:
            self.load_model_weights(self.critic, os.path.join(run_folder, f'weights/critic-weights_{epoch}.h5'))
            self.load_model_weights(self.generator, os.path.join(run_folder, f'weights/generator-weights_{epoch}.h5'))
            self.load_model_weights(self.model, os.path.join(run_folder, f'weights/weights_{epoch}.h5'))


    def save_model_weights(self, model, filepath):
        dpath, fname = os.path.split(filepath)
        if dpath != '' and not os.path.exists(dpath):
            os.makedirs(dpath)
        model.save_weights(filepath)


    def load_model_weights(self, model, filepath):
        model.load_weights(filepath)


    def save_params(self, folder, epoch=None):
        if epoch is None:
            filepath = os.path.join(folder, 'params.pkl')
        else:
            filepath = os.path.join(folder, f'params_{epoch}.pkl')

        dpath, fname = os.path.split(filepath)
        if dpath != '' and not os.path.exists(dpath):
            os.makedirs(dpath)

        with open(os.path.join(filepath), 'wb') as f:
            pkl.dump([
                self.input_dim,
                self.critic_conv_filters,
                self.critic_conv_kernel_size,
                self.critic_conv_strides,
                self.critic_batch_norm_momentum,
                self.critic_activation,
                self.critic_dropout_rate,
                self.critic_learning_rate,
                self.generator_initial_dense_layer_size,
                self.generator_upsample,
                self.generator_conv_filters,
                self.generator_conv_kernel_size,
                self.generator_conv_strides,
                self.generator_batch_norm_momentum,
                self.generator_activation,
                self.generator_dropout_rate,
                self.generator_learning_rate,
                self.optimizer,
                self.z_dim,
                self.epoch,
                self.d_losses,
                self.g_losses
            ], f)


    @staticmethod
    def load_params(folder, epoch=None):
        if epoch is None:
            filepath = os.path.join(folder, 'params.pkl')
        else:
            filepath = os.path.join(folder, f'params_{epoch}.pkl')

        with open(filepath, 'rb') as f:
            params = pkl.load(f)
        return params


    def generate_images(self, noise=[], n=10):
        if len(noise) == 0:
            noise = np.random.normal(0, 1, (n, self.z_dim))

        imgs = self.generator.predict(noise)   # [-1.0,1.0]
        imgs = 0.5 * (imgs + 1)        # [0.0, 1.0]
        imgs = np.clip(imgs, 0, 1)

        return imgs


    @staticmethod
    def showImages(xs, rows=-1, cols=-1, w=2.8, h=2.8, filepath=None):
        N = len(xs)
        if rows < 0: rows = 1
        if cols < 0: cols = (N + rows - 1) // rows
        fig, ax = plt.subplots(rows, cols, figsize=(w*cols, h*rows))
        idx = 0
        for row in range(rows):
            for col in range(cols):
                if rows == 1 and cols == 1:
                    axis = ax
                elif cols == 1:
                    axis = ax[row]
                elif rows == 1:
                    axis = ax[col]
                else:
                    axis = ax[row][col]

                if idx < N:
                    axis.imshow(xs[idx], cmap='gray')
                axis.axis('off')
                idx += 1

        if not filepath is None:
            dpath, fname = os.path.split(filepath)
            if dpath != '' and not os.path.exists(dpath):
                os.makedirs(dpath)
            fig.savefig(filepath, dpi=600)
            plt.close()
        else:
            plt.show()


    def showLoss(self, xlim=[], ylim=[]):
        d = np.array(self.d_losses)
        g = np.array(self.g_losses)
        d_loss = d[:, 0]
        d_loss_real = d[:, 1]
        d_loss_fake = d[:, 2]
        g_loss = g
        WGAN.plot_history([d_loss, d_loss_real, d_loss_fake, g_loss], ['d_loss', 'd_loss_real', 'd_loss_fake', 'g_loss'],xlim,ylim)


    @staticmethod
    def plot_history(vals, labels, xlim=[], ylim=[]):
        colors = ['red', 'blue', 'green', 'orange', 'black', 'pink']
        n = len(vals)
        fig, ax = plt.subplots(1, 1, figsize=(9,4))
        for i in range(n):
            ax.plot(vals[i], c=colors[i], label=labels[i])
        ax.legend(loc='upper right')
        ax.set_xlabel('epochs')
        # ax.set_ylabel('loss')

        if xlim != []:
            ax.set_xlim(xlim[0], xlim[1])
        if ylim != []:
            ax.set_ylim(ylim[0], ylim[1])
        
        plt.show()

Precautions when saving weights to disk with keras

There is model.save_weights as an API for saving weights to disk and reloading. However, when using HDF5 format as the save format, if the model contains nested layers, changing layer.trainable may cause the layer.weights to be out of oder.

keras において、重みをディスクに保存する場合の注意事項

重みをディスクに保存して再度読み込むための API として model.save_weights がある。ただし、保存形式に HDF5 形式を用いた場合、ネストされた layer がモデルに含まれていると、layer.trainable を変更すると layer.weights の順序が異なる場合がある。

https://www.tensorflow.org/guide/keras/save_and_serialize

Preparing CIFAR-10 dataset

CIFAR-10 データセットを用意する

In [8]:
import tensorflow as tf
import numpy as np

(x_train_all, y_train_all), (x_test_all, y_test_all) = tf.keras.datasets.cifar10.load_data()

print(x_train_all.shape)
print(y_train_all.shape)
print(x_test_all.shape)
print(y_test_all.shape)
(50000, 32, 32, 3)
(50000, 1)
(10000, 32, 32, 3)
(10000, 1)
In [9]:
# function to select all images with the specified label
# 指定したラベルの画像を全て選び出す関数

def choose_images(xs, ys, label):
    mask = ys.squeeze() == label
    return xs[mask]
In [10]:
# functions to divide the images according to the label
# 画像をラベルにしたがって分割する関数

def divide_images(xs, ys):
    n = max(ys.squeeze())
    all_imgs = []
    for i in range(n+1):
        imgs = choose_images(xs, ys, i)
        all_imgs.append(imgs)
    return np.array(all_imgs)
In [11]:
# classify images with labels.
# ラベル毎の画像に分類する
train_imgs = divide_images(x_train_all, y_train_all)
test_imgs = divide_images(x_test_all, y_test_all)

print(train_imgs.shape)
print(test_imgs.shape)
(10, 5000, 32, 32, 3)
(10, 1000, 32, 32, 3)
In [12]:
# Display one image for each label.
# 各ラベルについて画像を一つずつ表示する

%matplotlib inline
import matplotlib.pyplot as plt

fig, ax = plt.subplots(1, 10, figsize=(1.4 * 10, 1.4 * 1.5))
for i in range(10):
    ax[i].imshow(train_imgs[i][0])
    ax[i].text(0.5, -0.35, str(i), fontsize=10, ha='center', transform=ax[i].transAxes)
    ax[i].axis('off')
plt.show()

Check the Horse images of CIFAR-10 dataset

Select the "horse" images (label number 10) from the CIFAR-10 dataset. The input values should be in the range [-1, 1].

CIFAR-10 データセットの「馬」の画像を確認する

CIFAR-10 のデータセットから「馬」の画像(ラベル番号は7)を選び出す。 入力値は [-1, 1] の範囲にすること。

In [13]:
def M1P1_ZeroP1(x):   # [-1.0, 1.0] --> [0.0, 1.0]
    return (x+1)/2
In [14]:
horse_train = (train_imgs[7].astype('float32') - 127.5) / 127.5   # [0, 255] --> [-1.0, 1.0]
horse_test = (test_imgs[7].astype('float32') - 127.5) / 127.5
In [15]:
# Display some horse images.
# 馬の画像をいくつか表示してみる

%matplotlib inline
import matplotlib.pyplot as plt

rows = 5
cols = 5

selected_indices = np.random.choice(horse_train.shape[0], rows * cols)
selected_imgs = horse_train[selected_indices]

fig, ax = plt.subplots(rows, cols, figsize=(2.8 * cols, 2.8 * rows))
idx = 0
for row in range(rows):
    for col in range(cols):
        ax[row][col].imshow(M1P1_ZeroP1(selected_imgs[idx]))
        ax[row][col].axis('off')
        idx += 1
plt.show()

Define the Neural Network Model

ニューラルネットワーク・モデルを定義する

In [16]:
from nw.WGAN import WGAN

gan = WGAN(
    input_dim=(32, 32, 3),
    critic_conv_filters=[32, 64, 128, 128],
    critic_conv_kernel_size=[5,5,5,5],
    critic_conv_strides=[2,2,2,1],
    critic_batch_norm_momentum=None,
    critic_activation='leaky_relu',     # changed from GAN
    critic_dropout_rate=None,           # changed from GAN
    critic_learning_rate=0.00005,       # changed from GAN
    generator_initial_dense_layer_size=(4, 4, 128),
    generator_upsample=[2,2,2,1],
    generator_conv_filters=[128,64,32,3],
    generator_conv_kernel_size=[5,5,5,5],
    generator_conv_strides=[1,1,1,1],
    generator_batch_norm_momentum=0.8,   # changed from GAN
    generator_activation='leaky_relu',   # changed from GAN
    generator_dropout_rate=None,
    generator_learning_rate=0.00005,     # changed from GAN
    optimizer='rmsprop',
    z_dim=100
)
In [17]:
gan.critic.summary()
Model: "model"
_________________________________________________________________
 Layer (type)                Output Shape              Param #   
=================================================================
 critic_input (InputLayer)   [(None, 32, 32, 3)]       0         
                                                                 
 critic_conv_0 (Conv2D)      (None, 16, 16, 32)        2432      
                                                                 
 leaky_re_lu (LeakyReLU)     (None, 16, 16, 32)        0         
                                                                 
 critic_conv_1 (Conv2D)      (None, 8, 8, 64)          51264     
                                                                 
 leaky_re_lu_1 (LeakyReLU)   (None, 8, 8, 64)          0         
                                                                 
 critic_conv_2 (Conv2D)      (None, 4, 4, 128)         204928    
                                                                 
 leaky_re_lu_2 (LeakyReLU)   (None, 4, 4, 128)         0         
                                                                 
 critic_conv_3 (Conv2D)      (None, 4, 4, 128)         409728    
                                                                 
 leaky_re_lu_3 (LeakyReLU)   (None, 4, 4, 128)         0         
                                                                 
 flatten (Flatten)           (None, 2048)              0         
                                                                 
 dense (Dense)               (None, 1)                 2049      
                                                                 
=================================================================
Total params: 670,401
Trainable params: 670,401
Non-trainable params: 0
_________________________________________________________________
In [18]:
gan.generator.summary()
Model: "model_1"
_________________________________________________________________
 Layer (type)                Output Shape              Param #   
=================================================================
 generator_input (InputLayer  [(None, 100)]            0         
 )                                                               
                                                                 
 dense_1 (Dense)             (None, 2048)              206848    
                                                                 
 batch_normalization (BatchN  (None, 2048)             8192      
 ormalization)                                                   
                                                                 
 leaky_re_lu_4 (LeakyReLU)   (None, 2048)              0         
                                                                 
 reshape (Reshape)           (None, 4, 4, 128)         0         
                                                                 
 up_sampling2d (UpSampling2D  (None, 8, 8, 128)        0         
 )                                                               
                                                                 
 generator_conv_0 (Conv2D)   (None, 8, 8, 128)         409728    
                                                                 
 batch_normalization_1 (Batc  (None, 8, 8, 128)        512       
 hNormalization)                                                 
                                                                 
 leaky_re_lu_5 (LeakyReLU)   (None, 8, 8, 128)         0         
                                                                 
 up_sampling2d_1 (UpSampling  (None, 16, 16, 128)      0         
 2D)                                                             
                                                                 
 generator_conv_1 (Conv2D)   (None, 16, 16, 64)        204864    
                                                                 
 batch_normalization_2 (Batc  (None, 16, 16, 64)       256       
 hNormalization)                                                 
                                                                 
 leaky_re_lu_6 (LeakyReLU)   (None, 16, 16, 64)        0         
                                                                 
 up_sampling2d_2 (UpSampling  (None, 32, 32, 64)       0         
 2D)                                                             
                                                                 
 generator_conv_2 (Conv2D)   (None, 32, 32, 32)        51232     
                                                                 
 batch_normalization_3 (Batc  (None, 32, 32, 32)       128       
 hNormalization)                                                 
                                                                 
 leaky_re_lu_7 (LeakyReLU)   (None, 32, 32, 32)        0         
                                                                 
 generator_conv_3 (Conv2DTra  (None, 32, 32, 3)        2403      
 nspose)                                                         
                                                                 
 activation (Activation)     (None, 32, 32, 3)         0         
                                                                 
=================================================================
Total params: 884,163
Trainable params: 879,619
Non-trainable params: 4,544
_________________________________________________________________
In [19]:
gan.model.summary()
Model: "model_2"
_________________________________________________________________
 Layer (type)                Output Shape              Param #   
=================================================================
 model_input (InputLayer)    [(None, 100)]             0         
                                                                 
 model_1 (Functional)        (None, 32, 32, 3)         884163    
                                                                 
 model (Functional)          (None, 1)                 670401    
                                                                 
=================================================================
Total params: 1,554,564
Trainable params: 1,550,020
Non-trainable params: 4,544
_________________________________________________________________
In [19]:
 

Training

学習

In [20]:
BATCH_SIZE = 128
N_CRITIC = 5
CLIP_THRESHOLD = 0.01

At first, try training a small number of epoch.

まず、少ない回数だけ学習してみる

In [21]:
save_path1 = '/content/drive/MyDrive/ColabRun/WGAN_CIFAR01'
In [22]:
x_train = horse_train

gan.train(
    x_train,
    batch_size = BATCH_SIZE,
    epochs = 3,
    run_folder = save_path1
)
1 [D loss: -0.000 R -0.000 F 0.000] [G loss: -0.000]  0:00:03.704222
2 [D loss: -0.000 R -0.001 F 0.000] [G loss: -0.001]  0:00:04.129453
3 [D loss: -0.001 R -0.003 F 0.000] [G loss: -0.003]  0:00:04.566187
In [23]:
print(gan.epoch)
3
In [24]:
# Train the model a little more
# もう少し学習を進めてみる

gan.train(
    x_train,
    batch_size = BATCH_SIZE,
    epochs = 10,
    run_folder = save_path1
)
4 [D loss: -0.005 R -0.011 F 0.002] [G loss: -0.012]  0:00:00.446908
5 [D loss: -0.012 R -0.031 F 0.007] [G loss: -0.037]  0:00:00.879219
6 [D loss: -0.025 R -0.071 F 0.020] [G loss: -0.088]  0:00:01.288332
7 [D loss: -0.033 R -0.117 F 0.052] [G loss: -0.165]  0:00:01.689561
8 [D loss: -0.035 R -0.162 F 0.092] [G loss: -0.243]  0:00:02.136078
9 [D loss: -0.031 R -0.198 F 0.135] [G loss: -0.297]  0:00:02.561971
10 [D loss: -0.030 R -0.222 F 0.163] [G loss: -0.334]  0:00:03.034563

Check the loss and accuracy of the training process.

学習過程のlossと精度を確認する

In [25]:
# Display the graph of losses in training
%matplotlib inline

gan.showLoss([],[-1,1])

Check the saved files

保存されているファイルを確認する

In [26]:
! ls -lR {save_path1}
/content/drive/MyDrive/ColabRun/WGAN_CIFAR01:
total 589
-rw------- 1 root root  43469 Nov 23 03:41 params_1000.pkl
-rw------- 1 root root   4294 Nov 23 03:34 params_100.pkl
-rw------- 1 root root    604 Nov 23 06:46 params_10.pkl
-rw------- 1 root root  87473 Nov 23 03:48 params_2000.pkl
-rw------- 1 root root    317 Nov 23 06:46 params_3.pkl
-rw------- 1 root root 175481 Nov 23 04:03 params_4000.pkl
-rw------- 1 root root  21469 Nov 23 03:37 params_500.pkl
-rw------- 1 root root 263489 Nov 23 04:18 params_6000.pkl
-rw------- 1 root root    604 Nov 23 06:46 params.pkl
drwx------ 2 root root   4096 Nov 23 06:46 weights

/content/drive/MyDrive/ColabRun/WGAN_CIFAR01/weights:
total 110268
-rw------- 1 root root 2708296 Nov 23 03:41 critic-weights_1000.h5
-rw------- 1 root root 2708296 Nov 23 03:34 critic-weights_100.h5
-rw------- 1 root root 2708256 Nov 23 06:46 critic-weights_10.h5
-rw------- 1 root root 2708296 Nov 23 03:48 critic-weights_2000.h5
-rw------- 1 root root 2708256 Nov 23 06:46 critic-weights_3.h5
-rw------- 1 root root 2708296 Nov 23 04:03 critic-weights_4000.h5
-rw------- 1 root root 2708296 Nov 23 03:37 critic-weights_500.h5
-rw------- 1 root root 2708296 Nov 23 04:18 critic-weights_6000.h5
-rw------- 1 root root 2708256 Nov 23 06:46 critic-weights.h5
-rw------- 1 root root 3582272 Nov 23 03:41 generator-weights_1000.h5
-rw------- 1 root root 3582272 Nov 23 03:34 generator-weights_100.h5
-rw------- 1 root root 3582232 Nov 23 06:46 generator-weights_10.h5
-rw------- 1 root root 3582272 Nov 23 03:48 generator-weights_2000.h5
-rw------- 1 root root 3582232 Nov 23 06:46 generator-weights_3.h5
-rw------- 1 root root 3582272 Nov 23 04:03 generator-weights_4000.h5
-rw------- 1 root root 3582272 Nov 23 03:37 generator-weights_500.h5
-rw------- 1 root root 3582272 Nov 23 04:18 generator-weights_6000.h5
-rw------- 1 root root 3582232 Nov 23 06:46 generator-weights.h5
-rw------- 1 root root 6255048 Nov 23 03:41 weights_1000.h5
-rw------- 1 root root 6255048 Nov 23 03:34 weights_100.h5
-rw------- 1 root root 6255048 Nov 23 06:46 weights_10.h5
-rw------- 1 root root 6255048 Nov 23 03:48 weights_2000.h5
-rw------- 1 root root 6255048 Nov 23 06:46 weights_3.h5
-rw------- 1 root root 6255048 Nov 23 04:03 weights_4000.h5
-rw------- 1 root root 6255048 Nov 23 03:37 weights_500.h5
-rw------- 1 root root 6255048 Nov 23 04:18 weights_6000.h5
-rw------- 1 root root 6255048 Nov 23 06:46 weights.h5

Load the saved file and try further training.

Load the saved parameters and model weights, and try training further.

セーブしたファイルをロードして、さらに学習を進める

保存してあるパラメータとモデルの重みをロードして、追加の学習を試みる。

In [27]:
# Load the saved parameters and weights.
# 保存してある学習結果をロードする。

gan_work = WGAN.load(save_path1)

# Display the epoch count of the model.
# training のepoch回数を表示する。

print(gan_work.epoch)
10
In [28]:
# Training in addition
# 追加で training する。

gan_work.train(
    x_train,
    batch_size = BATCH_SIZE,
    epochs = 100,
    run_folder = save_path1
)
11 [D loss: -0.029 R -0.256 F 0.198] [G loss: -0.369]  0:00:02.324688
12 [D loss: -0.014 R -0.254 F 0.226] [G loss: -0.307]  0:00:02.793013
13 [D loss: -0.017 R -0.239 F 0.204] [G loss: -0.243]  0:00:03.211906
14 [D loss: -0.031 R -0.229 F 0.167] [G loss: -0.174]  0:00:03.635672
15 [D loss: -0.047 R -0.237 F 0.142] [G loss: -0.111]  0:00:04.088722
16 [D loss: -0.054 R -0.227 F 0.119] [G loss: -0.065]  0:00:04.551696
17 [D loss: -0.067 R -0.255 F 0.120] [G loss: -0.045]  0:00:04.969188
18 [D loss: -0.033 R -0.240 F 0.175] [G loss: -0.064]  0:00:05.384153
19 [D loss: 0.000 R -0.251 F 0.252] [G loss: -0.106]  0:00:05.910306
20 [D loss: 0.023 R -0.218 F 0.264] [G loss: -0.129]  0:00:06.349465
21 [D loss: 0.047 R -0.168 F 0.262] [G loss: -0.123]  0:00:06.784429
22 [D loss: 0.049 R -0.136 F 0.235] [G loss: -0.107]  0:00:07.224099
23 [D loss: 0.035 R -0.097 F 0.168] [G loss: -0.078]  0:00:07.666756
24 [D loss: 0.028 R -0.066 F 0.123] [G loss: -0.049]  0:00:08.125826
25 [D loss: 0.015 R -0.048 F 0.079] [G loss: -0.028]  0:00:08.582211
26 [D loss: 0.009 R -0.027 F 0.045] [G loss: -0.008]  0:00:09.023364
27 [D loss: -0.007 R -0.023 F 0.010] [G loss: 0.013]  0:00:09.442957
28 [D loss: -0.017 R -0.012 F -0.021] [G loss: 0.037]  0:00:09.870693
29 [D loss: -0.027 R -0.007 F -0.046] [G loss: 0.055]  0:00:10.302489
30 [D loss: -0.029 R -0.005 F -0.052] [G loss: 0.070]  0:00:10.733097
31 [D loss: -0.027 R -0.013 F -0.040] [G loss: 0.057]  0:00:11.165957
32 [D loss: -0.028 R -0.017 F -0.039] [G loss: 0.040]  0:00:11.604551
33 [D loss: -0.037 R -0.051 F -0.022] [G loss: -0.011]  0:00:12.017442
34 [D loss: -0.051 R -0.075 F -0.027] [G loss: -0.090]  0:00:12.444076
35 [D loss: -0.073 R -0.122 F -0.024] [G loss: -0.180]  0:00:12.875287
36 [D loss: -0.107 R -0.153 F -0.061] [G loss: -0.291]  0:00:13.294586
37 [D loss: -0.137 R -0.222 F -0.052] [G loss: -0.392]  0:00:13.709966
38 [D loss: -0.069 R -0.219 F 0.080] [G loss: -0.426]  0:00:14.123565
39 [D loss: -0.059 R -0.228 F 0.110] [G loss: -0.349]  0:00:14.552644
40 [D loss: -0.007 R -0.084 F 0.069] [G loss: -0.217]  0:00:14.988826
41 [D loss: -0.053 R -0.106 F 0.001] [G loss: -0.132]  0:00:15.398698
42 [D loss: 0.027 R 0.011 F 0.043] [G loss: -0.043]  0:00:15.831117
43 [D loss: -0.038 R -0.062 F -0.015] [G loss: 0.009]  0:00:16.256932
44 [D loss: -0.031 R -0.015 F -0.047] [G loss: -0.001]  0:00:16.686689
45 [D loss: -0.031 R 0.024 F -0.086] [G loss: -0.009]  0:00:17.095963
46 [D loss: -0.017 R 0.038 F -0.072] [G loss: -0.028]  0:00:17.510473
47 [D loss: 0.024 R 0.045 F 0.003] [G loss: 0.000]  0:00:17.953051
48 [D loss: -0.013 R 0.033 F -0.060] [G loss: 0.009]  0:00:18.373249
49 [D loss: -0.031 R 0.025 F -0.086] [G loss: 0.029]  0:00:18.798675
50 [D loss: -0.044 R 0.035 F -0.123] [G loss: 0.075]  0:00:19.204993
51 [D loss: -0.046 R 0.040 F -0.131] [G loss: 0.127]  0:00:19.635585
52 [D loss: -0.061 R 0.019 F -0.141] [G loss: 0.162]  0:00:20.078386
53 [D loss: -0.061 R 0.035 F -0.157] [G loss: 0.190]  0:00:20.525774
54 [D loss: -0.061 R 0.019 F -0.142] [G loss: 0.205]  0:00:20.988561
55 [D loss: -0.056 R 0.009 F -0.120] [G loss: 0.188]  0:00:21.391612
56 [D loss: -0.055 R -0.011 F -0.100] [G loss: 0.166]  0:00:21.811003
57 [D loss: -0.064 R -0.018 F -0.111] [G loss: 0.163]  0:00:22.228261
58 [D loss: -0.065 R -0.030 F -0.100] [G loss: 0.154]  0:00:22.685856
59 [D loss: -0.066 R -0.012 F -0.121] [G loss: 0.175]  0:00:23.101722
60 [D loss: -0.086 R 0.002 F -0.173] [G loss: 0.239]  0:00:23.531221
61 [D loss: -0.099 R 0.046 F -0.245] [G loss: 0.328]  0:00:23.945726
62 [D loss: -0.128 R 0.036 F -0.291] [G loss: 0.412]  0:00:24.359599
63 [D loss: -0.172 R 0.066 F -0.411] [G loss: 0.481]  0:00:24.799796
64 [D loss: -0.249 R -0.016 F -0.482] [G loss: 0.531]  0:00:25.248354
65 [D loss: -0.212 R 0.012 F -0.436] [G loss: 0.541]  0:00:25.677077
66 [D loss: -0.233 R -0.026 F -0.439] [G loss: 0.520]  0:00:26.117181
67 [D loss: -0.237 R -0.024 F -0.450] [G loss: 0.423]  0:00:26.572032
68 [D loss: -0.238 R -0.184 F -0.292] [G loss: 0.401]  0:00:27.002315
69 [D loss: -0.139 R -0.088 F -0.189] [G loss: 0.334]  0:00:27.419976
70 [D loss: -0.216 R -0.099 F -0.333] [G loss: 0.301]  0:00:27.834750
71 [D loss: -0.234 R -0.127 F -0.341] [G loss: 0.306]  0:00:28.294748
72 [D loss: -0.278 R -0.349 F -0.208] [G loss: 0.268]  0:00:28.739379
73 [D loss: -0.231 R -0.324 F -0.137] [G loss: 0.215]  0:00:29.193821
74 [D loss: -0.118 R -0.225 F -0.011] [G loss: 0.188]  0:00:29.608273
75 [D loss: -0.007 R -0.161 F 0.147] [G loss: 0.070]  0:00:30.036523
76 [D loss: 0.022 R -0.261 F 0.305] [G loss: -0.099]  0:00:30.465857
77 [D loss: -0.058 R -0.404 F 0.289] [G loss: -0.332]  0:00:30.936683
78 [D loss: 0.032 R -0.269 F 0.333] [G loss: -0.502]  0:00:31.381260
79 [D loss: 0.083 R -0.332 F 0.497] [G loss: -0.501]  0:00:31.835821
80 [D loss: 0.062 R -0.316 F 0.439] [G loss: -0.554]  0:00:32.282871
81 [D loss: 0.036 R -0.285 F 0.357] [G loss: -0.458]  0:00:32.727274
82 [D loss: 0.030 R -0.261 F 0.321] [G loss: -0.412]  0:00:33.178405
83 [D loss: -0.022 R -0.287 F 0.242] [G loss: -0.331]  0:00:33.638980
84 [D loss: -0.021 R -0.281 F 0.239] [G loss: -0.287]  0:00:34.073394
85 [D loss: -0.028 R -0.265 F 0.209] [G loss: -0.280]  0:00:34.497204
86 [D loss: 0.050 R -0.191 F 0.290] [G loss: -0.294]  0:00:34.930376
87 [D loss: 0.019 R -0.243 F 0.281] [G loss: -0.321]  0:00:35.357427
88 [D loss: 0.090 R -0.168 F 0.348] [G loss: -0.264]  0:00:35.782827
89 [D loss: 0.155 R -0.083 F 0.392] [G loss: -0.221]  0:00:36.197076
90 [D loss: 0.104 R -0.035 F 0.243] [G loss: -0.160]  0:00:36.617453
91 [D loss: 0.064 R -0.030 F 0.159] [G loss: -0.075]  0:00:37.082527
92 [D loss: 0.030 R -0.012 F 0.072] [G loss: -0.004]  0:00:37.515417
93 [D loss: 0.007 R 0.014 F 0.001] [G loss: 0.063]  0:00:37.926707
94 [D loss: -0.009 R 0.033 F -0.051] [G loss: 0.122]  0:00:38.370087
95 [D loss: -0.027 R 0.051 F -0.104] [G loss: 0.167]  0:00:38.826333
96 [D loss: -0.041 R 0.071 F -0.153] [G loss: 0.189]  0:00:39.274719
97 [D loss: -0.056 R 0.069 F -0.181] [G loss: 0.208]  0:00:39.673186
98 [D loss: -0.063 R 0.068 F -0.195] [G loss: 0.204]  0:00:40.116587
99 [D loss: -0.061 R 0.082 F -0.204] [G loss: 0.198]  0:00:40.544021
100 [D loss: -0.070 R 0.074 F -0.213] [G loss: 0.214]  0:00:40.983613
In [29]:
%matplotlib inline 

# prepare the noise vectors
# ノイズ・ベクトルを用意する。

if False:
    rows, cols = 5, 5

    noise = np.random.normal(0, 1, (rows * cols, gan.z_dim))

    imgs = gan_work.generator.predict(noise)
    imgs = 0.5 * (imgs + 1)
    imgs = np.clip(imgs, 0, 1)
    #imgs = gan.generate_images(noise).squeeze()
    WGAN.showImages(imgs, rows, cols, 1.4, 1.4)
In [30]:
# Training in addition
# 追加で training する。

gan_work.train(
    x_train,
    batch_size = BATCH_SIZE,
    epochs = 500,
    run_folder = save_path1
)
101 [D loss: -0.079 R 0.081 F -0.239] [G loss: 0.222]  0:00:00.431941
102 [D loss: -0.060 R 0.115 F -0.235] [G loss: 0.251]  0:00:00.909651
103 [D loss: -0.069 R 0.119 F -0.257] [G loss: 0.281]  0:00:01.345767
104 [D loss: -0.075 R 0.135 F -0.286] [G loss: 0.319]  0:00:01.798428
105 [D loss: -0.072 R 0.204 F -0.347] [G loss: 0.375]  0:00:02.214320
106 [D loss: -0.097 R 0.249 F -0.442] [G loss: 0.452]  0:00:02.636974
107 [D loss: -0.122 R 0.346 F -0.589] [G loss: 0.561]  0:00:03.064685
108 [D loss: -0.135 R 0.425 F -0.696] [G loss: 0.653]  0:00:03.484813
109 [D loss: -0.134 R 0.525 F -0.793] [G loss: 0.741]  0:00:03.932866
110 [D loss: -0.118 R 0.622 F -0.858] [G loss: 0.807]  0:00:04.357276
111 [D loss: -0.116 R 0.587 F -0.820] [G loss: 0.841]  0:00:04.783043
112 [D loss: -0.057 R 0.583 F -0.696] [G loss: 0.835]  0:00:05.268107
113 [D loss: -0.019 R 0.584 F -0.622] [G loss: 0.766]  0:00:05.688762
114 [D loss: 0.014 R 0.566 F -0.538] [G loss: 0.712]  0:00:06.098878
115 [D loss: -0.000 R 0.526 F -0.527] [G loss: 0.666]  0:00:06.559199
116 [D loss: -0.032 R 0.473 F -0.538] [G loss: 0.618]  0:00:06.998559
117 [D loss: -0.022 R 0.543 F -0.587] [G loss: 0.621]  0:00:07.427951
118 [D loss: -0.048 R 0.577 F -0.673] [G loss: 0.632]  0:00:07.858969
119 [D loss: -0.082 R 0.579 F -0.742] [G loss: 0.685]  0:00:08.303006
120 [D loss: -0.052 R 0.661 F -0.765] [G loss: 0.704]  0:00:08.741583
121 [D loss: -0.063 R 0.570 F -0.697] [G loss: 0.680]  0:00:09.187067
122 [D loss: 0.033 R 0.623 F -0.558] [G loss: 0.601]  0:00:09.617063
123 [D loss: 0.094 R 0.607 F -0.418] [G loss: 0.510]  0:00:10.077255
124 [D loss: 0.050 R 0.476 F -0.375] [G loss: 0.428]  0:00:10.506681
125 [D loss: 0.030 R 0.372 F -0.312] [G loss: 0.349]  0:00:10.968122
126 [D loss: 0.014 R 0.320 F -0.292] [G loss: 0.306]  0:00:11.403729
127 [D loss: 0.021 R 0.304 F -0.262] [G loss: 0.269]  0:00:11.828234
128 [D loss: 0.022 R 0.262 F -0.218] [G loss: 0.245]  0:00:12.284684
129 [D loss: 0.003 R 0.213 F -0.207] [G loss: 0.222]  0:00:12.699635
130 [D loss: 0.002 R 0.181 F -0.176] [G loss: 0.206]  0:00:13.145277
131 [D loss: -0.011 R 0.144 F -0.166] [G loss: 0.183]  0:00:13.579358
132 [D loss: -0.011 R 0.122 F -0.143] [G loss: 0.164]  0:00:14.007275
133 [D loss: -0.012 R 0.105 F -0.129] [G loss: 0.147]  0:00:14.441568
134 [D loss: -0.011 R 0.086 F -0.108] [G loss: 0.133]  0:00:14.876532
135 [D loss: -0.011 R 0.078 F -0.099] [G loss: 0.118]  0:00:15.309341
136 [D loss: -0.016 R 0.057 F -0.090] [G loss: 0.110]  0:00:15.744527
137 [D loss: -0.022 R 0.035 F -0.079] [G loss: 0.093]  0:00:16.208251
138 [D loss: -0.014 R 0.035 F -0.062] [G loss: 0.086]  0:00:16.634096
139 [D loss: -0.021 R 0.013 F -0.054] [G loss: 0.069]  0:00:17.081555
140 [D loss: -0.005 R 0.019 F -0.029] [G loss: 0.058]  0:00:17.516588
141 [D loss: -0.010 R -0.007 F -0.012] [G loss: 0.035]  0:00:17.962603
142 [D loss: -0.015 R -0.026 F -0.004] [G loss: 0.024]  0:00:18.412344
143 [D loss: -0.022 R -0.043 F -0.001] [G loss: 0.018]  0:00:18.831851
144 [D loss: -0.013 R -0.047 F 0.022] [G loss: 0.005]  0:00:19.328874
145 [D loss: -0.025 R -0.075 F 0.026] [G loss: -0.021]  0:00:19.742660
146 [D loss: -0.026 R -0.103 F 0.050] [G loss: -0.043]  0:00:20.197323
147 [D loss: -0.019 R -0.126 F 0.088] [G loss: -0.065]  0:00:20.627754
148 [D loss: -0.001 R -0.131 F 0.129] [G loss: -0.098]  0:00:21.044733
149 [D loss: 0.014 R -0.130 F 0.158] [G loss: -0.127]  0:00:21.492653
150 [D loss: 0.010 R -0.148 F 0.167] [G loss: -0.141]  0:00:21.942273
151 [D loss: 0.005 R -0.174 F 0.184] [G loss: -0.168]  0:00:22.387837
152 [D loss: -0.013 R -0.220 F 0.195] [G loss: -0.211]  0:00:22.826161
153 [D loss: -0.033 R -0.290 F 0.223] [G loss: -0.270]  0:00:23.285348
154 [D loss: -0.027 R -0.345 F 0.290] [G loss: -0.328]  0:00:23.710079
155 [D loss: -0.009 R -0.403 F 0.385] [G loss: -0.363]  0:00:24.147761
156 [D loss: 0.042 R -0.367 F 0.450] [G loss: -0.357]  0:00:24.560761
157 [D loss: 0.054 R -0.344 F 0.451] [G loss: -0.313]  0:00:24.984969
158 [D loss: 0.068 R -0.267 F 0.403] [G loss: -0.257]  0:00:25.418835
159 [D loss: 0.053 R -0.216 F 0.322] [G loss: -0.207]  0:00:25.842421
160 [D loss: 0.036 R -0.165 F 0.238] [G loss: -0.167]  0:00:26.277252
161 [D loss: 0.025 R -0.130 F 0.179] [G loss: -0.135]  0:00:26.696724
162 [D loss: 0.007 R -0.133 F 0.147] [G loss: -0.114]  0:00:27.131653
163 [D loss: 0.011 R -0.115 F 0.137] [G loss: -0.100]  0:00:27.560329
164 [D loss: 0.004 R -0.112 F 0.120] [G loss: -0.089]  0:00:27.987796
165 [D loss: 0.002 R -0.110 F 0.115] [G loss: -0.088]  0:00:28.460747
166 [D loss: 0.003 R -0.099 F 0.106] [G loss: -0.080]  0:00:28.912013
167 [D loss: -0.009 R -0.110 F 0.092] [G loss: -0.077]  0:00:29.353749
168 [D loss: -0.008 R -0.107 F 0.091] [G loss: -0.074]  0:00:29.771154
169 [D loss: -0.006 R -0.107 F 0.095] [G loss: -0.073]  0:00:30.241636
170 [D loss: -0.003 R -0.088 F 0.083] [G loss: -0.067]  0:00:30.667487
171 [D loss: 0.001 R -0.078 F 0.080] [G loss: -0.057]  0:00:31.358995
172 [D loss: -0.008 R -0.073 F 0.058] [G loss: -0.046]  0:00:31.770606
173 [D loss: -0.011 R -0.065 F 0.044] [G loss: -0.037]  0:00:32.224004
174 [D loss: -0.015 R -0.054 F 0.023] [G loss: -0.026]  0:00:32.666252
175 [D loss: -0.019 R -0.057 F 0.020] [G loss: -0.013]  0:00:33.108922
176 [D loss: -0.007 R -0.039 F 0.024] [G loss: -0.003]  0:00:33.554968
177 [D loss: -0.003 R -0.024 F 0.019] [G loss: 0.011]  0:00:33.976357
178 [D loss: -0.002 R -0.023 F 0.018] [G loss: 0.023]  0:00:34.404733
179 [D loss: -0.010 R -0.015 F -0.005] [G loss: 0.032]  0:00:34.853887
180 [D loss: -0.025 R -0.018 F -0.033] [G loss: 0.043]  0:00:35.297091
181 [D loss: -0.017 R -0.007 F -0.027] [G loss: 0.051]  0:00:35.751578
182 [D loss: -0.016 R 0.005 F -0.038] [G loss: 0.056]  0:00:36.197963
183 [D loss: -0.023 R -0.003 F -0.043] [G loss: 0.062]  0:00:36.642291
184 [D loss: -0.024 R 0.001 F -0.048] [G loss: 0.069]  0:00:37.086416
185 [D loss: -0.023 R 0.014 F -0.061] [G loss: 0.069]  0:00:37.507213
186 [D loss: -0.013 R 0.020 F -0.045] [G loss: 0.065]  0:00:37.942553
187 [D loss: -0.015 R 0.002 F -0.031] [G loss: 0.050]  0:00:38.371006
188 [D loss: -0.021 R -0.007 F -0.036] [G loss: 0.048]  0:00:38.859412
189 [D loss: -0.015 R -0.015 F -0.014] [G loss: 0.040]  0:00:39.343680
190 [D loss: -0.019 R -0.019 F -0.018] [G loss: 0.024]  0:00:39.777426
191 [D loss: -0.012 R -0.016 F -0.009] [G loss: 0.023]  0:00:40.215502
192 [D loss: -0.012 R -0.029 F 0.004] [G loss: 0.013]  0:00:40.677785
193 [D loss: -0.008 R -0.032 F 0.016] [G loss: 0.006]  0:00:41.127079
194 [D loss: 0.000 R -0.032 F 0.032] [G loss: -0.008]  0:00:41.550323
195 [D loss: -0.003 R -0.039 F 0.034] [G loss: -0.026]  0:00:41.976698
196 [D loss: -0.005 R -0.048 F 0.037] [G loss: -0.031]  0:00:42.412407
197 [D loss: -0.001 R -0.047 F 0.044] [G loss: -0.027]  0:00:42.868876
198 [D loss: -0.007 R -0.061 F 0.047] [G loss: -0.034]  0:00:43.298404
199 [D loss: -0.000 R -0.056 F 0.056] [G loss: -0.038]  0:00:43.736262
200 [D loss: -0.010 R -0.061 F 0.041] [G loss: -0.038]  0:00:44.170120
201 [D loss: -0.007 R -0.064 F 0.049] [G loss: -0.037]  0:00:44.602652
202 [D loss: -0.012 R -0.069 F 0.045] [G loss: -0.035]  0:00:45.046128
203 [D loss: -0.013 R -0.070 F 0.045] [G loss: -0.032]  0:00:45.469983
204 [D loss: -0.014 R -0.070 F 0.042] [G loss: -0.026]  0:00:45.906234
205 [D loss: -0.010 R -0.069 F 0.048] [G loss: -0.028]  0:00:46.337916
206 [D loss: -0.013 R -0.068 F 0.043] [G loss: -0.028]  0:00:46.770422
207 [D loss: -0.010 R -0.071 F 0.052] [G loss: -0.035]  0:00:47.209558
208 [D loss: -0.002 R -0.066 F 0.061] [G loss: -0.035]  0:00:47.647546
209 [D loss: -0.007 R -0.064 F 0.050] [G loss: -0.032]  0:00:48.088012
210 [D loss: -0.012 R -0.071 F 0.047] [G loss: -0.037]  0:00:48.513422
211 [D loss: -0.015 R -0.078 F 0.048] [G loss: -0.044]  0:00:48.939021
212 [D loss: -0.015 R -0.071 F 0.042] [G loss: -0.046]  0:00:49.369061
213 [D loss: -0.005 R -0.077 F 0.068] [G loss: -0.053]  0:00:49.797436
214 [D loss: -0.002 R -0.073 F 0.068] [G loss: -0.044]  0:00:50.228585
215 [D loss: -0.007 R -0.072 F 0.058] [G loss: -0.038]  0:00:50.657213
216 [D loss: -0.021 R -0.071 F 0.030] [G loss: -0.037]  0:00:51.092501
217 [D loss: -0.014 R -0.058 F 0.031] [G loss: -0.026]  0:00:51.533062
218 [D loss: -0.009 R -0.058 F 0.041] [G loss: -0.017]  0:00:51.956204
219 [D loss: -0.008 R -0.051 F 0.034] [G loss: -0.006]  0:00:52.389378
220 [D loss: -0.012 R -0.047 F 0.022] [G loss: -0.006]  0:00:52.846279
221 [D loss: -0.008 R -0.043 F 0.028] [G loss: -0.009]  0:00:53.267017
222 [D loss: -0.009 R -0.044 F 0.026] [G loss: -0.009]  0:00:53.677584
223 [D loss: -0.004 R -0.034 F 0.026] [G loss: -0.002]  0:00:54.117005
224 [D loss: -0.006 R -0.027 F 0.015] [G loss: 0.007]  0:00:54.549078
225 [D loss: -0.006 R -0.026 F 0.013] [G loss: 0.005]  0:00:55.009941
226 [D loss: -0.007 R -0.024 F 0.010] [G loss: 0.012]  0:00:55.456393
227 [D loss: -0.010 R -0.029 F 0.008] [G loss: 0.011]  0:00:55.875834
228 [D loss: -0.009 R -0.028 F 0.009] [G loss: 0.005]  0:00:56.378664
229 [D loss: -0.004 R -0.027 F 0.020] [G loss: 0.002]  0:00:56.827589
230 [D loss: -0.008 R -0.030 F 0.014] [G loss: 0.004]  0:00:57.282836
231 [D loss: -0.012 R -0.033 F 0.009] [G loss: 0.006]  0:00:57.712843
232 [D loss: -0.011 R -0.030 F 0.008] [G loss: 0.008]  0:00:58.143463
233 [D loss: -0.016 R -0.032 F -0.000] [G loss: 0.015]  0:00:58.565400
234 [D loss: -0.014 R -0.031 F 0.003] [G loss: 0.010]  0:00:59.002807
235 [D loss: -0.017 R -0.037 F 0.002] [G loss: 0.011]  0:00:59.435954
236 [D loss: -0.014 R -0.037 F 0.009] [G loss: 0.013]  0:00:59.892542
237 [D loss: -0.011 R -0.028 F 0.005] [G loss: 0.011]  0:01:00.338685
238 [D loss: -0.014 R -0.027 F -0.001] [G loss: 0.012]  0:01:00.767702
239 [D loss: -0.011 R -0.028 F 0.006] [G loss: 0.013]  0:01:01.226291
240 [D loss: -0.014 R -0.035 F 0.006] [G loss: 0.008]  0:01:01.658577
241 [D loss: -0.011 R -0.034 F 0.011] [G loss: 0.003]  0:01:02.087085
242 [D loss: -0.014 R -0.031 F 0.004] [G loss: 0.011]  0:01:02.520604
243 [D loss: -0.013 R -0.027 F 0.002] [G loss: 0.011]  0:01:02.972528
244 [D loss: -0.014 R -0.032 F 0.005] [G loss: 0.015]  0:01:03.412704
245 [D loss: -0.023 R -0.035 F -0.011] [G loss: 0.016]  0:01:03.850466
246 [D loss: -0.020 R -0.040 F -0.000] [G loss: 0.015]  0:01:04.293385
247 [D loss: -0.020 R -0.041 F 0.000] [G loss: 0.012]  0:01:04.726115
248 [D loss: -0.038 R -0.047 F -0.029] [G loss: 0.002]  0:01:05.157076
249 [D loss: -0.002 R -0.039 F 0.035] [G loss: -0.002]  0:01:05.568351
250 [D loss: -0.007 R -0.043 F 0.030] [G loss: -0.009]  0:01:06.028449
251 [D loss: -0.017 R -0.055 F 0.020] [G loss: -0.014]  0:01:06.443336
252 [D loss: -0.003 R -0.047 F 0.041] [G loss: -0.019]  0:01:06.883598
253 [D loss: -0.011 R -0.052 F 0.030] [G loss: -0.008]  0:01:07.322910
254 [D loss: -0.017 R -0.054 F 0.020] [G loss: 0.002]  0:01:07.737824
255 [D loss: -0.014 R -0.055 F 0.027] [G loss: -0.001]  0:01:08.168161
256 [D loss: -0.011 R -0.047 F 0.026] [G loss: -0.011]  0:01:08.603728
257 [D loss: -0.010 R -0.047 F 0.028] [G loss: -0.008]  0:01:09.046549
258 [D loss: -0.011 R -0.050 F 0.029] [G loss: -0.011]  0:01:09.471531
259 [D loss: -0.006 R -0.049 F 0.037] [G loss: -0.006]  0:01:09.907938
260 [D loss: -0.012 R -0.046 F 0.022] [G loss: -0.004]  0:01:10.328755
261 [D loss: -0.015 R -0.042 F 0.013] [G loss: 0.009]  0:01:10.763320
262 [D loss: -0.010 R -0.035 F 0.015] [G loss: 0.013]  0:01:11.232295
263 [D loss: -0.023 R -0.046 F -0.000] [G loss: 0.020]  0:01:11.691654
264 [D loss: -0.019 R -0.038 F -0.001] [G loss: 0.024]  0:01:12.132863
265 [D loss: -0.017 R -0.033 F -0.002] [G loss: 0.024]  0:01:12.612112
266 [D loss: -0.012 R -0.032 F 0.007] [G loss: 0.021]  0:01:13.045943
267 [D loss: -0.009 R -0.026 F 0.008] [G loss: 0.017]  0:01:13.492306
268 [D loss: -0.013 R -0.027 F 0.002] [G loss: 0.017]  0:01:13.907104
269 [D loss: -0.010 R -0.030 F 0.010] [G loss: 0.011]  0:01:14.324855
270 [D loss: -0.009 R -0.029 F 0.010] [G loss: 0.009]  0:01:14.749401
271 [D loss: -0.013 R -0.036 F 0.009] [G loss: 0.002]  0:01:15.208043
272 [D loss: -0.010 R -0.039 F 0.018] [G loss: 0.004]  0:01:15.653739
273 [D loss: -0.012 R -0.036 F 0.013] [G loss: 0.001]  0:01:16.101360
274 [D loss: -0.009 R -0.034 F 0.016] [G loss: 0.002]  0:01:16.545795
275 [D loss: -0.008 R -0.030 F 0.014] [G loss: 0.000]  0:01:16.979632
276 [D loss: -0.005 R -0.037 F 0.026] [G loss: -0.001]  0:01:17.398707
277 [D loss: -0.011 R -0.040 F 0.018] [G loss: 0.000]  0:01:17.828352
278 [D loss: -0.006 R -0.042 F 0.029] [G loss: -0.005]  0:01:18.246679
279 [D loss: -0.008 R -0.039 F 0.024] [G loss: -0.003]  0:01:18.679993
280 [D loss: -0.009 R -0.041 F 0.022] [G loss: -0.003]  0:01:19.106386
281 [D loss: -0.010 R -0.038 F 0.018] [G loss: -0.003]  0:01:19.530585
282 [D loss: -0.007 R -0.044 F 0.030] [G loss: -0.009]  0:01:19.994815
283 [D loss: -0.020 R -0.053 F 0.012] [G loss: -0.013]  0:01:20.410623
284 [D loss: -0.001 R -0.052 F 0.049] [G loss: -0.023]  0:01:20.837314
285 [D loss: -0.005 R -0.045 F 0.034] [G loss: -0.019]  0:01:21.271324
286 [D loss: -0.005 R -0.043 F 0.033] [G loss: -0.015]  0:01:21.749866
287 [D loss: -0.004 R -0.046 F 0.038] [G loss: -0.020]  0:01:22.197308
288 [D loss: -0.005 R -0.042 F 0.032] [G loss: -0.016]  0:01:22.670374
289 [D loss: -0.005 R -0.042 F 0.032] [G loss: -0.014]  0:01:23.107788
290 [D loss: -0.007 R -0.048 F 0.034] [G loss: -0.014]  0:01:23.523121
291 [D loss: -0.007 R -0.044 F 0.031] [G loss: -0.014]  0:01:23.964760
292 [D loss: -0.007 R -0.046 F 0.032] [G loss: -0.012]  0:01:24.381314
293 [D loss: -0.008 R -0.040 F 0.024] [G loss: -0.008]  0:01:24.827522
294 [D loss: -0.004 R -0.035 F 0.027] [G loss: -0.010]  0:01:25.261599
295 [D loss: -0.008 R -0.041 F 0.026] [G loss: -0.009]  0:01:25.698470
296 [D loss: -0.010 R -0.043 F 0.022] [G loss: -0.009]  0:01:26.114690
297 [D loss: -0.004 R -0.047 F 0.038] [G loss: -0.016]  0:01:26.563541
298 [D loss: -0.005 R -0.039 F 0.030] [G loss: -0.012]  0:01:27.004745
299 [D loss: -0.009 R -0.043 F 0.025] [G loss: -0.012]  0:01:27.437446
300 [D loss: -0.005 R -0.041 F 0.030] [G loss: -0.009]  0:01:27.864177
301 [D loss: -0.006 R -0.034 F 0.023] [G loss: -0.011]  0:01:28.285597
302 [D loss: -0.007 R -0.039 F 0.024] [G loss: -0.012]  0:01:28.723651
303 [D loss: -0.007 R -0.038 F 0.024] [G loss: -0.008]  0:01:29.177063
304 [D loss: -0.015 R -0.036 F 0.006] [G loss: -0.005]  0:01:29.630692
305 [D loss: -0.002 R -0.032 F 0.029] [G loss: -0.010]  0:01:30.077383
306 [D loss: -0.004 R -0.032 F 0.024] [G loss: -0.010]  0:01:30.575283
307 [D loss: -0.012 R -0.034 F 0.010] [G loss: -0.003]  0:01:31.004871
308 [D loss: -0.003 R -0.032 F 0.026] [G loss: -0.005]  0:01:31.435012
309 [D loss: -0.005 R -0.030 F 0.020] [G loss: -0.002]  0:01:31.887799
310 [D loss: -0.004 R -0.027 F 0.019] [G loss: -0.001]  0:01:32.321348
311 [D loss: -0.007 R -0.032 F 0.019] [G loss: -0.002]  0:01:32.758809
312 [D loss: -0.010 R -0.037 F 0.018] [G loss: -0.001]  0:01:33.190373
313 [D loss: -0.008 R -0.036 F 0.019] [G loss: -0.004]  0:01:33.619726
314 [D loss: -0.001 R -0.032 F 0.031] [G loss: -0.011]  0:01:34.054590
315 [D loss: -0.009 R -0.036 F 0.018] [G loss: -0.015]  0:01:34.496831
316 [D loss: -0.004 R -0.040 F 0.032] [G loss: -0.018]  0:01:34.937434
317 [D loss: -0.004 R -0.040 F 0.033] [G loss: -0.016]  0:01:35.376323
318 [D loss: -0.008 R -0.044 F 0.028] [G loss: -0.016]  0:01:35.814877
319 [D loss: -0.004 R -0.044 F 0.036] [G loss: -0.018]  0:01:36.257788
320 [D loss: -0.004 R -0.041 F 0.034] [G loss: -0.017]  0:01:36.694963
321 [D loss: -0.004 R -0.041 F 0.033] [G loss: -0.017]  0:01:37.136567
322 [D loss: -0.011 R -0.048 F 0.026] [G loss: -0.019]  0:01:37.554757
323 [D loss: -0.008 R -0.048 F 0.033] [G loss: -0.018]  0:01:37.997990
324 [D loss: -0.009 R -0.048 F 0.030] [G loss: -0.015]  0:01:38.439035
325 [D loss: -0.010 R -0.049 F 0.029] [G loss: -0.021]  0:01:38.867873
326 [D loss: -0.007 R -0.051 F 0.036] [G loss: -0.021]  0:01:39.315715
327 [D loss: -0.012 R -0.049 F 0.025] [G loss: -0.008]  0:01:39.729009
328 [D loss: -0.006 R -0.044 F 0.031] [G loss: -0.017]  0:01:40.175927
329 [D loss: -0.004 R -0.044 F 0.037] [G loss: -0.019]  0:01:40.593669
330 [D loss: -0.002 R -0.039 F 0.035] [G loss: -0.019]  0:01:41.032490
331 [D loss: -0.002 R -0.036 F 0.031] [G loss: -0.022]  0:01:41.490316
332 [D loss: -0.004 R -0.043 F 0.035] [G loss: -0.019]  0:01:41.924957
333 [D loss: -0.004 R -0.045 F 0.037] [G loss: -0.023]  0:01:42.402511
334 [D loss: -0.002 R -0.042 F 0.037] [G loss: -0.023]  0:01:42.850051
335 [D loss: -0.004 R -0.044 F 0.036] [G loss: -0.022]  0:01:43.283158
336 [D loss: -0.006 R -0.046 F 0.035] [G loss: -0.022]  0:01:43.739614
337 [D loss: -0.009 R -0.047 F 0.030] [G loss: -0.022]  0:01:44.167144
338 [D loss: -0.005 R -0.046 F 0.037] [G loss: -0.024]  0:01:44.603046
339 [D loss: -0.006 R -0.050 F 0.038] [G loss: -0.025]  0:01:45.030957
340 [D loss: -0.007 R -0.048 F 0.034] [G loss: -0.027]  0:01:45.475693
341 [D loss: -0.005 R -0.052 F 0.043] [G loss: -0.029]  0:01:45.902748
342 [D loss: -0.008 R -0.058 F 0.042] [G loss: -0.026]  0:01:46.337891
343 [D loss: -0.002 R -0.050 F 0.045] [G loss: -0.035]  0:01:46.776972
344 [D loss: -0.009 R -0.059 F 0.041] [G loss: -0.030]  0:01:47.223817
345 [D loss: -0.002 R -0.049 F 0.045] [G loss: -0.033]  0:01:47.644707
346 [D loss: 0.000 R -0.047 F 0.047] [G loss: -0.035]  0:01:48.356884
347 [D loss: -0.005 R -0.049 F 0.038] [G loss: -0.031]  0:01:48.798619
348 [D loss: -0.011 R -0.058 F 0.035] [G loss: -0.033]  0:01:49.256559
349 [D loss: -0.004 R -0.051 F 0.044] [G loss: -0.031]  0:01:49.701489
350 [D loss: -0.009 R -0.053 F 0.035] [G loss: -0.025]  0:01:50.147762
351 [D loss: -0.008 R -0.052 F 0.036] [G loss: -0.029]  0:01:50.592096
352 [D loss: -0.005 R -0.053 F 0.042] [G loss: -0.030]  0:01:51.020686
353 [D loss: -0.013 R -0.057 F 0.032] [G loss: -0.030]  0:01:51.455234
354 [D loss: -0.006 R -0.052 F 0.040] [G loss: -0.034]  0:01:51.897208
355 [D loss: -0.006 R -0.058 F 0.046] [G loss: -0.031]  0:01:52.323384
356 [D loss: -0.004 R -0.051 F 0.044] [G loss: -0.033]  0:01:52.769696
357 [D loss: -0.010 R -0.059 F 0.038] [G loss: -0.034]  0:01:53.198796
358 [D loss: -0.013 R -0.060 F 0.034] [G loss: -0.043]  0:01:53.641105
359 [D loss: -0.004 R -0.052 F 0.044] [G loss: -0.038]  0:01:54.061332
360 [D loss: 0.002 R -0.052 F 0.056] [G loss: -0.038]  0:01:54.500072
361 [D loss: -0.006 R -0.054 F 0.042] [G loss: -0.032]  0:01:54.938725
362 [D loss: -0.002 R -0.045 F 0.041] [G loss: -0.031]  0:01:55.390881
363 [D loss: -0.002 R -0.040 F 0.035] [G loss: -0.031]  0:01:55.860601
364 [D loss: 0.000 R -0.041 F 0.041] [G loss: -0.029]  0:01:56.288706
365 [D loss: -0.003 R -0.041 F 0.035] [G loss: -0.027]  0:01:56.718542
366 [D loss: -0.006 R -0.038 F 0.026] [G loss: -0.022]  0:01:57.159944
367 [D loss: -0.012 R -0.053 F 0.029] [G loss: -0.022]  0:01:57.589926
368 [D loss: -0.009 R -0.048 F 0.029] [G loss: -0.016]  0:01:58.021981
369 [D loss: -0.011 R -0.051 F 0.029] [G loss: -0.015]  0:01:58.461470
370 [D loss: -0.010 R -0.052 F 0.033] [G loss: -0.022]  0:01:58.889317
371 [D loss: -0.006 R -0.054 F 0.042] [G loss: -0.026]  0:01:59.307068
372 [D loss: -0.008 R -0.048 F 0.031] [G loss: -0.029]  0:01:59.740418
373 [D loss: -0.007 R -0.044 F 0.030] [G loss: -0.028]  0:02:00.166183
374 [D loss: -0.007 R -0.047 F 0.034] [G loss: -0.022]  0:02:00.636261
375 [D loss: -0.012 R -0.052 F 0.028] [G loss: -0.024]  0:02:01.079758
376 [D loss: -0.011 R -0.053 F 0.031] [G loss: -0.022]  0:02:01.515852
377 [D loss: -0.007 R -0.052 F 0.037] [G loss: -0.029]  0:02:01.960383
378 [D loss: -0.009 R -0.057 F 0.040] [G loss: -0.036]  0:02:02.443461
379 [D loss: -0.012 R -0.061 F 0.036] [G loss: -0.029]  0:02:02.928359
380 [D loss: -0.005 R -0.051 F 0.042] [G loss: -0.030]  0:02:03.373624
381 [D loss: -0.007 R -0.053 F 0.040] [G loss: -0.032]  0:02:03.798858
382 [D loss: -0.011 R -0.059 F 0.036] [G loss: -0.032]  0:02:04.245978
383 [D loss: -0.005 R -0.051 F 0.042] [G loss: -0.020]  0:02:04.672699
384 [D loss: -0.009 R -0.048 F 0.031] [G loss: -0.015]  0:02:05.110709
385 [D loss: -0.014 R -0.043 F 0.016] [G loss: -0.006]  0:02:05.557756
386 [D loss: -0.011 R -0.044 F 0.022] [G loss: -0.005]  0:02:05.978999
387 [D loss: -0.012 R -0.041 F 0.017] [G loss: 0.000]  0:02:06.427093
388 [D loss: -0.008 R -0.038 F 0.023] [G loss: 0.001]  0:02:06.858907
389 [D loss: -0.009 R -0.032 F 0.013] [G loss: -0.002]  0:02:07.304490
390 [D loss: -0.013 R -0.029 F 0.004] [G loss: 0.005]  0:02:07.727080
391 [D loss: -0.007 R -0.029 F 0.016] [G loss: -0.009]  0:02:08.170313
392 [D loss: 0.004 R -0.028 F 0.036] [G loss: -0.015]  0:02:08.587590
393 [D loss: -0.000 R -0.033 F 0.033] [G loss: -0.013]  0:02:09.028853
394 [D loss: -0.009 R -0.040 F 0.022] [G loss: -0.009]  0:02:09.456665
395 [D loss: -0.010 R -0.038 F 0.017] [G loss: -0.009]  0:02:09.902180
396 [D loss: -0.010 R -0.043 F 0.022] [G loss: -0.007]  0:02:10.334948
397 [D loss: -0.008 R -0.043 F 0.027] [G loss: -0.005]  0:02:10.769010
398 [D loss: -0.008 R -0.044 F 0.029] [G loss: -0.002]  0:02:11.225241
399 [D loss: -0.010 R -0.046 F 0.026] [G loss: -0.003]  0:02:11.655462
400 [D loss: -0.010 R -0.045 F 0.026] [G loss: -0.008]  0:02:12.101128
401 [D loss: -0.009 R -0.041 F 0.023] [G loss: -0.009]  0:02:12.533388
402 [D loss: -0.006 R -0.041 F 0.029] [G loss: -0.017]  0:02:12.974245
403 [D loss: -0.008 R -0.043 F 0.027] [G loss: -0.013]  0:02:13.413519
404 [D loss: -0.004 R -0.040 F 0.032] [G loss: -0.015]  0:02:13.831669
405 [D loss: -0.008 R -0.039 F 0.023] [G loss: -0.015]  0:02:14.285980
406 [D loss: -0.006 R -0.033 F 0.020] [G loss: -0.011]  0:02:14.722874
407 [D loss: -0.005 R -0.031 F 0.020] [G loss: -0.012]  0:02:15.166353
408 [D loss: -0.007 R -0.032 F 0.019] [G loss: -0.012]  0:02:15.591992
409 [D loss: -0.005 R -0.027 F 0.018] [G loss: -0.008]  0:02:16.036168
410 [D loss: -0.006 R -0.031 F 0.018] [G loss: -0.006]  0:02:16.483063
411 [D loss: -0.011 R -0.031 F 0.009] [G loss: 0.001]  0:02:16.944250
412 [D loss: -0.013 R -0.027 F 0.002] [G loss: 0.010]  0:02:17.373986
413 [D loss: -0.015 R -0.033 F 0.002] [G loss: 0.008]  0:02:17.813995
414 [D loss: -0.014 R -0.034 F 0.005] [G loss: 0.005]  0:02:18.252090
415 [D loss: -0.015 R -0.035 F 0.004] [G loss: 0.005]  0:02:18.693137
416 [D loss: -0.006 R -0.033 F 0.020] [G loss: -0.011]  0:02:19.127855
417 [D loss: -0.004 R -0.029 F 0.021] [G loss: -0.018]  0:02:19.558880
418 [D loss: -0.001 R -0.029 F 0.027] [G loss: -0.014]  0:02:20.004657
419 [D loss: -0.010 R -0.034 F 0.014] [G loss: -0.011]  0:02:20.439886
420 [D loss: -0.007 R -0.023 F 0.010] [G loss: 0.000]  0:02:20.885927
421 [D loss: -0.007 R -0.028 F 0.014] [G loss: 0.003]  0:02:21.324874
422 [D loss: -0.008 R -0.032 F 0.015] [G loss: 0.007]  0:02:21.790508
423 [D loss: -0.007 R -0.032 F 0.018] [G loss: -0.003]  0:02:22.235299
424 [D loss: -0.019 R -0.043 F 0.006] [G loss: -0.005]  0:02:22.665515
425 [D loss: -0.011 R -0.041 F 0.019] [G loss: -0.008]  0:02:23.099429
426 [D loss: -0.002 R -0.032 F 0.028] [G loss: -0.013]  0:02:23.548562
427 [D loss: -0.004 R -0.034 F 0.026] [G loss: -0.014]  0:02:23.988842
428 [D loss: -0.011 R -0.045 F 0.022] [G loss: -0.011]  0:02:24.411814
429 [D loss: -0.016 R -0.043 F 0.010] [G loss: -0.009]  0:02:24.846222
430 [D loss: -0.018 R -0.045 F 0.010] [G loss: -0.003]  0:02:25.267337
431 [D loss: -0.014 R -0.039 F 0.011] [G loss: -0.010]  0:02:25.716257
432 [D loss: -0.005 R -0.036 F 0.026] [G loss: -0.014]  0:02:26.166428
433 [D loss: 0.001 R -0.041 F 0.042] [G loss: -0.029]  0:02:26.592473
434 [D loss: -0.005 R -0.047 F 0.037] [G loss: -0.029]  0:02:27.029638
435 [D loss: -0.004 R -0.046 F 0.037] [G loss: -0.024]  0:02:27.471555
436 [D loss: -0.005 R -0.046 F 0.037] [G loss: -0.021]  0:02:27.902406
437 [D loss: -0.007 R -0.040 F 0.027] [G loss: -0.009]  0:02:28.355833
438 [D loss: -0.004 R -0.040 F 0.031] [G loss: -0.010]  0:02:28.790254
439 [D loss: -0.013 R -0.042 F 0.016] [G loss: -0.005]  0:02:29.281711
440 [D loss: -0.011 R -0.040 F 0.018] [G loss: -0.003]  0:02:29.691033
441 [D loss: -0.007 R -0.040 F 0.026] [G loss: -0.018]  0:02:30.135091
442 [D loss: -0.006 R -0.039 F 0.027] [G loss: -0.019]  0:02:30.582042
443 [D loss: -0.001 R -0.035 F 0.034] [G loss: -0.021]  0:02:31.001654
444 [D loss: -0.005 R -0.041 F 0.030] [G loss: -0.016]  0:02:31.426590
445 [D loss: -0.011 R -0.043 F 0.021] [G loss: -0.004]  0:02:31.871747
446 [D loss: -0.021 R -0.041 F -0.001] [G loss: 0.008]  0:02:32.309871
447 [D loss: -0.027 R -0.046 F -0.007] [G loss: 0.011]  0:02:32.728651
448 [D loss: -0.025 R -0.048 F -0.002] [G loss: 0.006]  0:02:33.150438
449 [D loss: -0.005 R -0.033 F 0.022] [G loss: -0.012]  0:02:33.604441
450 [D loss: 0.001 R -0.041 F 0.043] [G loss: -0.030]  0:02:34.050740
451 [D loss: 0.004 R -0.039 F 0.047] [G loss: -0.042]  0:02:34.498592
452 [D loss: 0.002 R -0.045 F 0.048] [G loss: -0.040]  0:02:34.928292
453 [D loss: 0.000 R -0.040 F 0.041] [G loss: -0.030]  0:02:35.405359
454 [D loss: -0.008 R -0.044 F 0.028] [G loss: -0.019]  0:02:35.854889
455 [D loss: -0.021 R -0.055 F 0.012] [G loss: -0.008]  0:02:36.288974
456 [D loss: -0.018 R -0.057 F 0.022] [G loss: -0.003]  0:02:36.751945
457 [D loss: -0.015 R -0.059 F 0.029] [G loss: -0.014]  0:02:37.191584
458 [D loss: -0.008 R -0.056 F 0.040] [G loss: -0.023]  0:02:37.626730
459 [D loss: -0.001 R -0.047 F 0.044] [G loss: -0.030]  0:02:38.088036
460 [D loss: -0.003 R -0.052 F 0.047] [G loss: -0.029]  0:02:38.507454
461 [D loss: -0.013 R -0.054 F 0.029] [G loss: -0.013]  0:02:38.939304
462 [D loss: -0.012 R -0.050 F 0.027] [G loss: -0.006]  0:02:39.372484
463 [D loss: -0.013 R -0.048 F 0.021] [G loss: -0.001]  0:02:39.823680
464 [D loss: -0.012 R -0.044 F 0.020] [G loss: -0.005]  0:02:40.270522
465 [D loss: -0.011 R -0.047 F 0.025] [G loss: -0.015]  0:02:40.719166
466 [D loss: -0.005 R -0.039 F 0.030] [G loss: -0.026]  0:02:41.145764
467 [D loss: -0.004 R -0.048 F 0.040] [G loss: -0.040]  0:02:41.574806
468 [D loss: -0.005 R -0.050 F 0.039] [G loss: -0.040]  0:02:42.009598
469 [D loss: 0.000 R -0.041 F 0.041] [G loss: -0.034]  0:02:42.445649
470 [D loss: -0.005 R -0.037 F 0.028] [G loss: -0.018]  0:02:42.884867
471 [D loss: -0.013 R -0.045 F 0.019] [G loss: -0.001]  0:02:43.326107
472 [D loss: -0.018 R -0.038 F 0.001] [G loss: 0.015]  0:02:43.777641
473 [D loss: -0.022 R -0.039 F -0.004] [G loss: 0.022]  0:02:44.219511
474 [D loss: -0.021 R -0.046 F 0.004] [G loss: 0.015]  0:02:44.658362
475 [D loss: -0.013 R -0.039 F 0.012] [G loss: -0.001]  0:02:45.084903
476 [D loss: -0.015 R -0.039 F 0.009] [G loss: -0.018]  0:02:45.513308
477 [D loss: -0.015 R -0.040 F 0.010] [G loss: -0.020]  0:02:45.971184
478 [D loss: -0.009 R -0.043 F 0.026] [G loss: -0.031]  0:02:46.403857
479 [D loss: 0.001 R -0.040 F 0.042] [G loss: -0.023]  0:02:46.833891
480 [D loss: -0.003 R -0.042 F 0.037] [G loss: -0.016]  0:02:47.272099
481 [D loss: -0.013 R -0.049 F 0.022] [G loss: -0.012]  0:02:47.742951
482 [D loss: -0.013 R -0.049 F 0.023] [G loss: -0.018]  0:02:48.181627
483 [D loss: -0.001 R -0.049 F 0.046] [G loss: -0.026]  0:02:48.603953
484 [D loss: 0.003 R -0.045 F 0.050] [G loss: -0.032]  0:02:49.066276
485 [D loss: -0.002 R -0.045 F 0.042] [G loss: -0.025]  0:02:49.484043
486 [D loss: -0.003 R -0.039 F 0.033] [G loss: -0.016]  0:02:49.933008
487 [D loss: -0.014 R -0.041 F 0.014] [G loss: -0.000]  0:02:50.381259
488 [D loss: -0.017 R -0.035 F 0.002] [G loss: 0.011]  0:02:50.809486
489 [D loss: -0.023 R -0.037 F -0.010] [G loss: 0.020]  0:02:51.255735
490 [D loss: -0.009 R -0.030 F 0.011] [G loss: 0.015]  0:02:51.700423
491 [D loss: -0.011 R -0.036 F 0.014] [G loss: -0.005]  0:02:52.146003
492 [D loss: -0.010 R -0.040 F 0.020] [G loss: -0.020]  0:02:52.574113
493 [D loss: 0.001 R -0.034 F 0.037] [G loss: -0.030]  0:02:53.009806
494 [D loss: -0.002 R -0.043 F 0.039] [G loss: -0.033]  0:02:53.455461
495 [D loss: -0.005 R -0.041 F 0.031] [G loss: -0.026]  0:02:53.897700
496 [D loss: -0.003 R -0.029 F 0.024] [G loss: -0.016]  0:02:54.342980
497 [D loss: -0.007 R -0.036 F 0.022] [G loss: -0.007]  0:02:54.785868
498 [D loss: -0.014 R -0.045 F 0.018] [G loss: -0.001]  0:02:55.207041
499 [D loss: -0.014 R -0.042 F 0.014] [G loss: 0.001]  0:02:55.623457
500 [D loss: -0.012 R -0.042 F 0.018] [G loss: -0.007]  0:02:56.045738
In [31]:
# Training in addition
# 追加で training する。

gan_work.train(
    x_train,
    batch_size = BATCH_SIZE,
    epochs = 1000,
    run_folder = save_path1
)
501 [D loss: -0.010 R -0.043 F 0.022] [G loss: -0.011]  0:00:00.448400
502 [D loss: -0.016 R -0.042 F 0.010] [G loss: -0.009]  0:00:00.912250
503 [D loss: -0.012 R -0.043 F 0.019] [G loss: -0.003]  0:00:01.351265
504 [D loss: -0.010 R -0.048 F 0.029] [G loss: -0.003]  0:00:01.797373
505 [D loss: -0.010 R -0.042 F 0.022] [G loss: -0.004]  0:00:02.245250
506 [D loss: -0.009 R -0.042 F 0.024] [G loss: -0.008]  0:00:02.689118
507 [D loss: -0.008 R -0.043 F 0.028] [G loss: -0.018]  0:00:03.123546
508 [D loss: -0.001 R -0.041 F 0.039] [G loss: -0.023]  0:00:03.559731
509 [D loss: -0.006 R -0.037 F 0.025] [G loss: -0.019]  0:00:04.000654
510 [D loss: -0.006 R -0.038 F 0.026] [G loss: -0.013]  0:00:04.448661
511 [D loss: -0.007 R -0.046 F 0.032] [G loss: -0.014]  0:00:04.895201
512 [D loss: -0.011 R -0.048 F 0.026] [G loss: -0.015]  0:00:05.427405
513 [D loss: -0.016 R -0.052 F 0.019] [G loss: -0.014]  0:00:05.836803
514 [D loss: -0.016 R -0.050 F 0.019] [G loss: -0.016]  0:00:06.292616
515 [D loss: -0.009 R -0.048 F 0.031] [G loss: -0.016]  0:00:06.747867
516 [D loss: -0.011 R -0.051 F 0.028] [G loss: -0.023]  0:00:07.200473
517 [D loss: -0.009 R -0.048 F 0.030] [G loss: -0.020]  0:00:07.902263
518 [D loss: -0.008 R -0.044 F 0.028] [G loss: -0.021]  0:00:08.345896
519 [D loss: -0.005 R -0.047 F 0.036] [G loss: -0.024]  0:00:08.788841
520 [D loss: -0.008 R -0.051 F 0.035] [G loss: -0.018]  0:00:09.195243
521 [D loss: -0.009 R -0.053 F 0.034] [G loss: -0.017]  0:00:09.621848
522 [D loss: -0.012 R -0.052 F 0.028] [G loss: -0.016]  0:00:10.052407
523 [D loss: -0.006 R -0.045 F 0.034] [G loss: -0.020]  0:00:10.506014
524 [D loss: -0.009 R -0.046 F 0.028] [G loss: -0.019]  0:00:10.934851
525 [D loss: -0.006 R -0.046 F 0.034] [G loss: -0.024]  0:00:11.415171
526 [D loss: -0.006 R -0.052 F 0.040] [G loss: -0.025]  0:00:11.842792
527 [D loss: -0.005 R -0.044 F 0.034] [G loss: -0.019]  0:00:12.310330
528 [D loss: -0.011 R -0.044 F 0.022] [G loss: -0.015]  0:00:12.755385
529 [D loss: -0.011 R -0.046 F 0.024] [G loss: -0.012]  0:00:13.208242
530 [D loss: -0.005 R -0.045 F 0.034] [G loss: -0.010]  0:00:13.659281
531 [D loss: -0.009 R -0.045 F 0.027] [G loss: -0.013]  0:00:14.090796
532 [D loss: -0.010 R -0.047 F 0.027] [G loss: -0.013]  0:00:14.510632
533 [D loss: -0.009 R -0.051 F 0.032] [G loss: -0.014]  0:00:14.943782
534 [D loss: -0.010 R -0.049 F 0.029] [G loss: -0.019]  0:00:15.394293
535 [D loss: -0.013 R -0.050 F 0.024] [G loss: -0.010]  0:00:15.835490
536 [D loss: -0.006 R -0.050 F 0.039] [G loss: -0.030]  0:00:16.258816
537 [D loss: -0.015 R -0.058 F 0.028] [G loss: -0.029]  0:00:16.709598
538 [D loss: -0.013 R -0.062 F 0.036] [G loss: -0.024]  0:00:17.126879
539 [D loss: -0.014 R -0.056 F 0.029] [G loss: -0.018]  0:00:17.541794
540 [D loss: -0.015 R -0.046 F 0.016] [G loss: -0.010]  0:00:17.964041
541 [D loss: -0.010 R -0.048 F 0.029] [G loss: -0.022]  0:00:18.409490
542 [D loss: -0.016 R -0.050 F 0.019] [G loss: -0.020]  0:00:18.861145
543 [D loss: -0.010 R -0.057 F 0.037] [G loss: -0.021]  0:00:19.297233
544 [D loss: -0.014 R -0.056 F 0.029] [G loss: -0.022]  0:00:19.732889
545 [D loss: -0.018 R -0.055 F 0.018] [G loss: -0.016]  0:00:20.163733
546 [D loss: -0.010 R -0.052 F 0.032] [G loss: -0.013]  0:00:20.593867
547 [D loss: -0.004 R -0.052 F 0.043] [G loss: -0.022]  0:00:21.019464
548 [D loss: -0.014 R -0.052 F 0.024] [G loss: -0.024]  0:00:21.472619
549 [D loss: -0.004 R -0.048 F 0.039] [G loss: -0.020]  0:00:21.888122
550 [D loss: -0.009 R -0.047 F 0.028] [G loss: -0.014]  0:00:22.301407
551 [D loss: -0.011 R -0.046 F 0.024] [G loss: -0.010]  0:00:22.729470
552 [D loss: -0.016 R -0.050 F 0.018] [G loss: -0.009]  0:00:23.183535
553 [D loss: -0.005 R -0.046 F 0.037] [G loss: -0.019]  0:00:23.629025
554 [D loss: -0.005 R -0.052 F 0.042] [G loss: -0.029]  0:00:24.052864
555 [D loss: -0.012 R -0.060 F 0.036] [G loss: -0.026]  0:00:24.477855
556 [D loss: -0.014 R -0.062 F 0.035] [G loss: -0.024]  0:00:24.905990
557 [D loss: -0.006 R -0.052 F 0.041] [G loss: -0.024]  0:00:25.325526
558 [D loss: -0.004 R -0.054 F 0.047] [G loss: -0.026]  0:00:25.768604
559 [D loss: -0.003 R -0.054 F 0.048] [G loss: -0.032]  0:00:26.206587
560 [D loss: -0.006 R -0.054 F 0.042] [G loss: -0.030]  0:00:26.652347
561 [D loss: -0.008 R -0.054 F 0.037] [G loss: -0.026]  0:00:27.100870
562 [D loss: -0.014 R -0.057 F 0.029] [G loss: -0.025]  0:00:27.545132
563 [D loss: -0.007 R -0.054 F 0.041] [G loss: -0.023]  0:00:27.983275
564 [D loss: -0.011 R -0.055 F 0.033] [G loss: -0.019]  0:00:28.403560
565 [D loss: -0.009 R -0.051 F 0.033] [G loss: -0.024]  0:00:28.835756
566 [D loss: -0.008 R -0.052 F 0.035] [G loss: -0.018]  0:00:29.273582
567 [D loss: -0.007 R -0.050 F 0.035] [G loss: -0.020]  0:00:29.704786
568 [D loss: -0.012 R -0.052 F 0.027] [G loss: -0.015]  0:00:30.130000
569 [D loss: -0.011 R -0.053 F 0.032] [G loss: -0.019]  0:00:30.557996
570 [D loss: -0.007 R -0.052 F 0.038] [G loss: -0.026]  0:00:30.987270
571 [D loss: -0.004 R -0.043 F 0.036] [G loss: -0.023]  0:00:31.420472
572 [D loss: -0.008 R -0.046 F 0.029] [G loss: -0.017]  0:00:31.870920
573 [D loss: -0.010 R -0.049 F 0.028] [G loss: -0.019]  0:00:32.297860
574 [D loss: -0.005 R -0.049 F 0.039] [G loss: -0.022]  0:00:32.727457
575 [D loss: -0.008 R -0.060 F 0.044] [G loss: -0.023]  0:00:33.177216
576 [D loss: -0.010 R -0.063 F 0.042] [G loss: -0.026]  0:00:33.622084
577 [D loss: -0.010 R -0.062 F 0.043] [G loss: -0.024]  0:00:34.064893
578 [D loss: -0.007 R -0.056 F 0.042] [G loss: -0.025]  0:00:34.493159
579 [D loss: -0.010 R -0.053 F 0.032] [G loss: -0.021]  0:00:34.947851
580 [D loss: -0.008 R -0.055 F 0.040] [G loss: -0.024]  0:00:35.362684
581 [D loss: -0.007 R -0.054 F 0.039] [G loss: -0.020]  0:00:35.803839
582 [D loss: -0.010 R -0.049 F 0.029] [G loss: -0.016]  0:00:36.243803
583 [D loss: -0.015 R -0.051 F 0.021] [G loss: -0.011]  0:00:36.660336
584 [D loss: -0.022 R -0.056 F 0.011] [G loss: -0.010]  0:00:37.100597
585 [D loss: -0.013 R -0.056 F 0.031] [G loss: -0.018]  0:00:37.519076
586 [D loss: -0.006 R -0.053 F 0.040] [G loss: -0.026]  0:00:37.948189
587 [D loss: -0.004 R -0.054 F 0.046] [G loss: -0.031]  0:00:38.375973
588 [D loss: -0.011 R -0.060 F 0.039] [G loss: -0.030]  0:00:38.816895
589 [D loss: -0.010 R -0.059 F 0.039] [G loss: -0.026]  0:00:39.261028
590 [D loss: -0.010 R -0.060 F 0.040] [G loss: -0.023]  0:00:39.691461
591 [D loss: -0.010 R -0.053 F 0.032] [G loss: -0.023]  0:00:40.142591
592 [D loss: -0.011 R -0.056 F 0.034] [G loss: -0.020]  0:00:40.575517
593 [D loss: -0.010 R -0.056 F 0.036] [G loss: -0.021]  0:00:41.034414
594 [D loss: -0.010 R -0.061 F 0.042] [G loss: -0.025]  0:00:41.455630
595 [D loss: -0.012 R -0.056 F 0.032] [G loss: -0.034]  0:00:41.932064
596 [D loss: -0.009 R -0.060 F 0.042] [G loss: -0.029]  0:00:42.352962
597 [D loss: -0.011 R -0.059 F 0.038] [G loss: -0.021]  0:00:42.838921
598 [D loss: -0.013 R -0.058 F 0.031] [G loss: -0.015]  0:00:43.262552
599 [D loss: -0.011 R -0.052 F 0.030] [G loss: -0.013]  0:00:43.689052
600 [D loss: -0.010 R -0.051 F 0.031] [G loss: -0.012]  0:00:44.150438
601 [D loss: -0.011 R -0.049 F 0.027] [G loss: -0.011]  0:00:44.637334
602 [D loss: -0.012 R -0.036 F 0.012] [G loss: -0.004]  0:00:45.076555
603 [D loss: -0.003 R -0.039 F 0.032] [G loss: -0.021]  0:00:45.521404
604 [D loss: -0.011 R -0.050 F 0.028] [G loss: -0.016]  0:00:45.955691
605 [D loss: -0.005 R -0.046 F 0.036] [G loss: -0.021]  0:00:46.387444
606 [D loss: -0.014 R -0.045 F 0.017] [G loss: -0.012]  0:00:46.810695
607 [D loss: -0.015 R -0.052 F 0.023] [G loss: -0.009]  0:00:47.248152
608 [D loss: -0.019 R -0.056 F 0.018] [G loss: -0.006]  0:00:47.686565
609 [D loss: -0.012 R -0.051 F 0.026] [G loss: -0.011]  0:00:48.116637
610 [D loss: -0.012 R -0.050 F 0.027] [G loss: -0.010]  0:00:48.565895
611 [D loss: -0.011 R -0.047 F 0.025] [G loss: -0.009]  0:00:49.021229
612 [D loss: -0.010 R -0.050 F 0.030] [G loss: -0.011]  0:00:49.468375
613 [D loss: -0.011 R -0.048 F 0.025] [G loss: -0.018]  0:00:49.914330
614 [D loss: -0.008 R -0.051 F 0.035] [G loss: -0.020]  0:00:50.358982
615 [D loss: -0.010 R -0.053 F 0.033] [G loss: -0.013]  0:00:50.803116
616 [D loss: -0.011 R -0.049 F 0.027] [G loss: -0.015]  0:00:51.236618
617 [D loss: -0.011 R -0.057 F 0.036] [G loss: -0.023]  0:00:51.654275
618 [D loss: -0.005 R -0.047 F 0.037] [G loss: -0.022]  0:00:52.100338
619 [D loss: -0.003 R -0.052 F 0.045] [G loss: -0.028]  0:00:52.520805
620 [D loss: -0.004 R -0.053 F 0.046] [G loss: -0.020]  0:00:52.947646
621 [D loss: -0.009 R -0.051 F 0.033] [G loss: -0.012]  0:00:53.358046
622 [D loss: -0.017 R -0.060 F 0.025] [G loss: -0.009]  0:00:53.808020
623 [D loss: -0.009 R -0.054 F 0.036] [G loss: -0.018]  0:00:54.256992
624 [D loss: -0.009 R -0.054 F 0.037] [G loss: -0.019]  0:00:54.674058
625 [D loss: -0.019 R -0.062 F 0.024] [G loss: -0.022]  0:00:55.100683
626 [D loss: -0.015 R -0.067 F 0.036] [G loss: -0.025]  0:00:55.529801
627 [D loss: -0.007 R -0.061 F 0.047] [G loss: -0.028]  0:00:55.990691
628 [D loss: -0.012 R -0.058 F 0.035] [G loss: -0.021]  0:00:56.423105
629 [D loss: -0.009 R -0.062 F 0.044] [G loss: -0.022]  0:00:56.857529
630 [D loss: -0.007 R -0.054 F 0.040] [G loss: -0.024]  0:00:57.281254
631 [D loss: -0.014 R -0.063 F 0.036] [G loss: -0.033]  0:00:57.713949
632 [D loss: -0.006 R -0.049 F 0.036] [G loss: -0.029]  0:00:58.147754
633 [D loss: -0.005 R -0.054 F 0.044] [G loss: -0.025]  0:00:58.603585
634 [D loss: -0.010 R -0.058 F 0.038] [G loss: -0.019]  0:00:59.051803
635 [D loss: -0.008 R -0.057 F 0.041] [G loss: -0.020]  0:00:59.476529
636 [D loss: -0.012 R -0.054 F 0.029] [G loss: -0.014]  0:00:59.909970
637 [D loss: -0.012 R -0.055 F 0.031] [G loss: -0.014]  0:01:00.317529
638 [D loss: -0.014 R -0.060 F 0.032] [G loss: -0.018]  0:01:00.742946
639 [D loss: -0.012 R -0.056 F 0.031] [G loss: -0.017]  0:01:01.180888
640 [D loss: -0.011 R -0.058 F 0.035] [G loss: -0.016]  0:01:01.621988
641 [D loss: -0.015 R -0.060 F 0.030] [G loss: -0.021]  0:01:02.047107
642 [D loss: -0.012 R -0.066 F 0.043] [G loss: -0.030]  0:01:02.485477
643 [D loss: -0.007 R -0.057 F 0.042] [G loss: -0.029]  0:01:02.916331
644 [D loss: -0.010 R -0.065 F 0.045] [G loss: -0.032]  0:01:03.338082
645 [D loss: -0.010 R -0.063 F 0.044] [G loss: -0.035]  0:01:03.790301
646 [D loss: -0.006 R -0.048 F 0.036] [G loss: -0.032]  0:01:04.215164
647 [D loss: -0.007 R -0.054 F 0.040] [G loss: -0.021]  0:01:04.641952
648 [D loss: -0.013 R -0.054 F 0.027] [G loss: -0.013]  0:01:05.100614
649 [D loss: -0.010 R -0.052 F 0.032] [G loss: -0.014]  0:01:05.542593
650 [D loss: -0.010 R -0.054 F 0.034] [G loss: -0.016]  0:01:05.962420
651 [D loss: -0.008 R -0.050 F 0.034] [G loss: -0.019]  0:01:06.381809
652 [D loss: -0.009 R -0.053 F 0.036] [G loss: -0.018]  0:01:06.820021
653 [D loss: -0.011 R -0.052 F 0.030] [G loss: -0.018]  0:01:07.243857
654 [D loss: -0.008 R -0.051 F 0.036] [G loss: -0.017]  0:01:07.676989
655 [D loss: -0.011 R -0.056 F 0.033] [G loss: -0.019]  0:01:08.132451
656 [D loss: -0.008 R -0.056 F 0.040] [G loss: -0.022]  0:01:08.559468
657 [D loss: -0.012 R -0.063 F 0.039] [G loss: -0.023]  0:01:09.003009
658 [D loss: -0.010 R -0.065 F 0.045] [G loss: -0.027]  0:01:09.446824
659 [D loss: -0.011 R -0.059 F 0.037] [G loss: -0.022]  0:01:09.870035
660 [D loss: -0.009 R -0.062 F 0.044] [G loss: -0.029]  0:01:10.301270
661 [D loss: -0.009 R -0.056 F 0.037] [G loss: -0.021]  0:01:10.746290
662 [D loss: -0.011 R -0.061 F 0.040] [G loss: -0.017]  0:01:11.185527
663 [D loss: -0.011 R -0.056 F 0.034] [G loss: -0.016]  0:01:11.604861
664 [D loss: -0.012 R -0.058 F 0.034] [G loss: -0.017]  0:01:12.050384
665 [D loss: -0.011 R -0.057 F 0.036] [G loss: -0.024]  0:01:12.477913
666 [D loss: -0.006 R -0.056 F 0.044] [G loss: -0.028]  0:01:12.900444
667 [D loss: -0.010 R -0.058 F 0.039] [G loss: -0.030]  0:01:13.333961
668 [D loss: -0.008 R -0.055 F 0.039] [G loss: -0.020]  0:01:13.753112
669 [D loss: -0.012 R -0.052 F 0.028] [G loss: -0.021]  0:01:14.194003
670 [D loss: -0.009 R -0.058 F 0.040] [G loss: -0.023]  0:01:14.646082
671 [D loss: -0.013 R -0.055 F 0.029] [G loss: -0.015]  0:01:15.087234
672 [D loss: -0.010 R -0.055 F 0.035] [G loss: -0.017]  0:01:15.535031
673 [D loss: -0.013 R -0.056 F 0.030] [G loss: -0.019]  0:01:15.959081
674 [D loss: -0.008 R -0.057 F 0.041] [G loss: -0.017]  0:01:16.396898
675 [D loss: -0.011 R -0.050 F 0.028] [G loss: -0.012]  0:01:16.815107
676 [D loss: -0.013 R -0.058 F 0.032] [G loss: -0.017]  0:01:17.289219
677 [D loss: -0.013 R -0.059 F 0.033] [G loss: -0.026]  0:01:17.736707
678 [D loss: -0.008 R -0.056 F 0.040] [G loss: -0.025]  0:01:18.184138
679 [D loss: -0.010 R -0.061 F 0.041] [G loss: -0.028]  0:01:18.622680
680 [D loss: -0.010 R -0.065 F 0.046] [G loss: -0.031]  0:01:19.076014
681 [D loss: -0.007 R -0.059 F 0.045] [G loss: -0.024]  0:01:19.489704
682 [D loss: -0.011 R -0.055 F 0.033] [G loss: -0.019]  0:01:19.950432
683 [D loss: -0.009 R -0.060 F 0.042] [G loss: -0.025]  0:01:20.373536
684 [D loss: -0.007 R -0.060 F 0.046] [G loss: -0.031]  0:01:20.806175
685 [D loss: -0.011 R -0.068 F 0.046] [G loss: -0.030]  0:01:21.261583
686 [D loss: -0.014 R -0.064 F 0.035] [G loss: -0.031]  0:01:21.704828
687 [D loss: -0.009 R -0.070 F 0.052] [G loss: -0.031]  0:01:22.122952
688 [D loss: -0.018 R -0.065 F 0.030] [G loss: -0.026]  0:01:22.557889
689 [D loss: -0.005 R -0.066 F 0.055] [G loss: -0.034]  0:01:22.979346
690 [D loss: -0.013 R -0.064 F 0.037] [G loss: -0.028]  0:01:23.420948
691 [D loss: -0.004 R -0.060 F 0.052] [G loss: -0.034]  0:01:24.098479
692 [D loss: -0.014 R -0.068 F 0.040] [G loss: -0.027]  0:01:24.550700
693 [D loss: -0.010 R -0.061 F 0.042] [G loss: -0.025]  0:01:24.979508
694 [D loss: -0.012 R -0.060 F 0.036] [G loss: -0.017]  0:01:25.430751
695 [D loss: -0.009 R -0.053 F 0.034] [G loss: -0.019]  0:01:25.855828
696 [D loss: -0.019 R -0.061 F 0.023] [G loss: -0.023]  0:01:26.280751
697 [D loss: -0.006 R -0.061 F 0.048] [G loss: -0.032]  0:01:26.707191
698 [D loss: -0.008 R -0.059 F 0.042] [G loss: -0.025]  0:01:27.137274
699 [D loss: -0.008 R -0.059 F 0.043] [G loss: -0.026]  0:01:27.582771
700 [D loss: -0.009 R -0.059 F 0.041] [G loss: -0.026]  0:01:28.025267
701 [D loss: -0.019 R -0.067 F 0.030] [G loss: -0.031]  0:01:28.461962
702 [D loss: -0.006 R -0.050 F 0.038] [G loss: -0.027]  0:01:28.897325
703 [D loss: -0.007 R -0.054 F 0.039] [G loss: -0.018]  0:01:29.348199
704 [D loss: -0.014 R -0.051 F 0.023] [G loss: -0.011]  0:01:29.757365
705 [D loss: -0.004 R -0.054 F 0.046] [G loss: -0.021]  0:01:30.207829
706 [D loss: -0.015 R -0.054 F 0.025] [G loss: -0.016]  0:01:30.661963
707 [D loss: -0.005 R -0.045 F 0.036] [G loss: -0.020]  0:01:31.101726
708 [D loss: -0.014 R -0.055 F 0.027] [G loss: -0.016]  0:01:31.564428
709 [D loss: -0.014 R -0.058 F 0.029] [G loss: -0.013]  0:01:31.987727
710 [D loss: -0.011 R -0.055 F 0.033] [G loss: -0.017]  0:01:32.435993
711 [D loss: -0.005 R -0.053 F 0.043] [G loss: -0.025]  0:01:32.895980
712 [D loss: -0.008 R -0.058 F 0.041] [G loss: -0.023]  0:01:33.303496
713 [D loss: -0.012 R -0.066 F 0.043] [G loss: -0.029]  0:01:33.751808
714 [D loss: -0.010 R -0.063 F 0.044] [G loss: -0.028]  0:01:34.175607
715 [D loss: -0.007 R -0.062 F 0.048] [G loss: -0.025]  0:01:34.623080
716 [D loss: -0.006 R -0.061 F 0.050] [G loss: -0.027]  0:01:35.053020
717 [D loss: -0.008 R -0.058 F 0.042] [G loss: -0.024]  0:01:35.479518
718 [D loss: -0.010 R -0.061 F 0.040] [G loss: -0.024]  0:01:35.911527
719 [D loss: -0.010 R -0.058 F 0.039] [G loss: -0.028]  0:01:36.332312
720 [D loss: -0.008 R -0.060 F 0.044] [G loss: -0.025]  0:01:36.750905
721 [D loss: -0.008 R -0.064 F 0.049] [G loss: -0.024]  0:01:37.168649
722 [D loss: -0.016 R -0.064 F 0.032] [G loss: -0.023]  0:01:37.613244
723 [D loss: -0.006 R -0.056 F 0.045] [G loss: -0.025]  0:01:38.050166
724 [D loss: -0.010 R -0.062 F 0.041] [G loss: -0.022]  0:01:38.469032
725 [D loss: -0.012 R -0.057 F 0.033] [G loss: -0.027]  0:01:38.907055
726 [D loss: -0.011 R -0.061 F 0.039] [G loss: -0.024]  0:01:39.319263
727 [D loss: -0.008 R -0.049 F 0.032] [G loss: -0.022]  0:01:39.767096
728 [D loss: -0.017 R -0.056 F 0.022] [G loss: -0.020]  0:01:40.183748
729 [D loss: -0.007 R -0.055 F 0.042] [G loss: -0.018]  0:01:40.623434
730 [D loss: -0.012 R -0.059 F 0.036] [G loss: -0.019]  0:01:41.052623
731 [D loss: -0.008 R -0.054 F 0.037] [G loss: -0.024]  0:01:41.500441
732 [D loss: -0.009 R -0.059 F 0.040] [G loss: -0.024]  0:01:41.923027
733 [D loss: -0.013 R -0.060 F 0.034] [G loss: -0.020]  0:01:42.358699
734 [D loss: -0.015 R -0.056 F 0.026] [G loss: -0.026]  0:01:42.775186
735 [D loss: -0.010 R -0.063 F 0.043] [G loss: -0.023]  0:01:43.191659
736 [D loss: -0.015 R -0.061 F 0.031] [G loss: -0.020]  0:01:43.621719
737 [D loss: -0.012 R -0.069 F 0.045] [G loss: -0.030]  0:01:44.058113
738 [D loss: -0.008 R -0.069 F 0.052] [G loss: -0.035]  0:01:44.492139
739 [D loss: -0.016 R -0.068 F 0.036] [G loss: -0.020]  0:01:44.933982
740 [D loss: -0.011 R -0.069 F 0.048] [G loss: -0.029]  0:01:45.365567
741 [D loss: -0.014 R -0.068 F 0.040] [G loss: -0.031]  0:01:45.803517
742 [D loss: -0.009 R -0.063 F 0.046] [G loss: -0.027]  0:01:46.242741
743 [D loss: -0.014 R -0.064 F 0.036] [G loss: -0.023]  0:01:46.687899
744 [D loss: -0.008 R -0.068 F 0.051] [G loss: -0.035]  0:01:47.114585
745 [D loss: -0.007 R -0.068 F 0.054] [G loss: -0.037]  0:01:47.543694
746 [D loss: -0.013 R -0.070 F 0.043] [G loss: -0.027]  0:01:47.996280
747 [D loss: -0.011 R -0.061 F 0.039] [G loss: -0.024]  0:01:48.421073
748 [D loss: -0.009 R -0.062 F 0.044] [G loss: -0.026]  0:01:48.877757
749 [D loss: -0.008 R -0.062 F 0.046] [G loss: -0.031]  0:01:49.320483
750 [D loss: -0.011 R -0.066 F 0.045] [G loss: -0.027]  0:01:49.756173
751 [D loss: -0.012 R -0.069 F 0.045] [G loss: -0.028]  0:01:50.202727
752 [D loss: -0.006 R -0.068 F 0.056] [G loss: -0.033]  0:01:50.692524
753 [D loss: -0.012 R -0.065 F 0.042] [G loss: -0.024]  0:01:51.119480
754 [D loss: -0.011 R -0.055 F 0.034] [G loss: -0.015]  0:01:51.572260
755 [D loss: -0.009 R -0.057 F 0.039] [G loss: -0.019]  0:01:52.042607
756 [D loss: -0.010 R -0.056 F 0.035] [G loss: -0.021]  0:01:52.474511
757 [D loss: -0.008 R -0.054 F 0.038] [G loss: -0.024]  0:01:52.923283
758 [D loss: -0.014 R -0.059 F 0.031] [G loss: -0.021]  0:01:53.353232
759 [D loss: -0.009 R -0.054 F 0.036] [G loss: -0.021]  0:01:53.802202
760 [D loss: -0.014 R -0.059 F 0.030] [G loss: -0.023]  0:01:54.272852
761 [D loss: -0.007 R -0.054 F 0.040] [G loss: -0.022]  0:01:54.732383
762 [D loss: -0.010 R -0.058 F 0.038] [G loss: -0.024]  0:01:55.182913
763 [D loss: -0.009 R -0.061 F 0.043] [G loss: -0.023]  0:01:55.619000
764 [D loss: -0.010 R -0.060 F 0.040] [G loss: -0.024]  0:01:56.076805
765 [D loss: -0.007 R -0.054 F 0.040] [G loss: -0.025]  0:01:56.498411
766 [D loss: -0.013 R -0.060 F 0.035] [G loss: -0.021]  0:01:56.946315
767 [D loss: -0.019 R -0.063 F 0.024] [G loss: -0.023]  0:01:57.377866
768 [D loss: -0.017 R -0.061 F 0.027] [G loss: -0.027]  0:01:57.821992
769 [D loss: -0.010 R -0.066 F 0.046] [G loss: -0.034]  0:01:58.269597
770 [D loss: -0.008 R -0.061 F 0.045] [G loss: -0.034]  0:01:58.728221
771 [D loss: -0.005 R -0.056 F 0.046] [G loss: -0.029]  0:01:59.161090
772 [D loss: -0.013 R -0.064 F 0.038] [G loss: -0.019]  0:01:59.618250
773 [D loss: -0.009 R -0.051 F 0.032] [G loss: -0.015]  0:02:00.081798
774 [D loss: -0.019 R -0.060 F 0.022] [G loss: -0.010]  0:02:00.498542
775 [D loss: -0.007 R -0.056 F 0.042] [G loss: -0.022]  0:02:00.945237
776 [D loss: -0.009 R -0.052 F 0.033] [G loss: -0.022]  0:02:01.397142
777 [D loss: -0.011 R -0.056 F 0.033] [G loss: -0.025]  0:02:01.828562
778 [D loss: -0.017 R -0.061 F 0.027] [G loss: -0.025]  0:02:02.265587
779 [D loss: -0.008 R -0.062 F 0.046] [G loss: -0.029]  0:02:02.715340
780 [D loss: -0.014 R -0.061 F 0.032] [G loss: -0.020]  0:02:03.160864
781 [D loss: -0.008 R -0.058 F 0.042] [G loss: -0.023]  0:02:03.617462
782 [D loss: -0.012 R -0.065 F 0.041] [G loss: -0.022]  0:02:04.056879
783 [D loss: -0.010 R -0.060 F 0.041] [G loss: -0.025]  0:02:04.522162
784 [D loss: -0.009 R -0.065 F 0.047] [G loss: -0.033]  0:02:04.967648
785 [D loss: -0.011 R -0.065 F 0.042] [G loss: -0.028]  0:02:05.411599
786 [D loss: -0.008 R -0.061 F 0.045] [G loss: -0.028]  0:02:05.840743
787 [D loss: -0.016 R -0.063 F 0.030] [G loss: -0.032]  0:02:06.279307
788 [D loss: -0.014 R -0.072 F 0.044] [G loss: -0.030]  0:02:06.695314
789 [D loss: -0.015 R -0.066 F 0.037] [G loss: -0.021]  0:02:07.114508
790 [D loss: -0.011 R -0.064 F 0.043] [G loss: -0.031]  0:02:07.565557
791 [D loss: -0.011 R -0.065 F 0.043] [G loss: -0.029]  0:02:08.006629
792 [D loss: -0.008 R -0.063 F 0.048] [G loss: -0.027]  0:02:08.418542
793 [D loss: -0.010 R -0.064 F 0.043] [G loss: -0.025]  0:02:08.846545
794 [D loss: -0.013 R -0.062 F 0.036] [G loss: -0.019]  0:02:09.310155
795 [D loss: -0.007 R -0.061 F 0.046] [G loss: -0.026]  0:02:09.754141
796 [D loss: -0.007 R -0.061 F 0.047] [G loss: -0.025]  0:02:10.209218
797 [D loss: -0.014 R -0.062 F 0.035] [G loss: -0.023]  0:02:10.650416
798 [D loss: -0.011 R -0.061 F 0.040] [G loss: -0.025]  0:02:11.070592
799 [D loss: -0.017 R -0.069 F 0.035] [G loss: -0.026]  0:02:11.505609
800 [D loss: -0.017 R -0.063 F 0.029] [G loss: -0.024]  0:02:11.958057
801 [D loss: -0.017 R -0.060 F 0.026] [G loss: -0.022]  0:02:12.387875
802 [D loss: -0.007 R -0.065 F 0.051] [G loss: -0.029]  0:02:12.817098
803 [D loss: -0.009 R -0.058 F 0.041] [G loss: -0.025]  0:02:13.254678
804 [D loss: -0.009 R -0.055 F 0.037] [G loss: -0.022]  0:02:13.701758
805 [D loss: -0.012 R -0.057 F 0.032] [G loss: -0.019]  0:02:14.142496
806 [D loss: -0.010 R -0.052 F 0.033] [G loss: -0.020]  0:02:14.583130
807 [D loss: -0.009 R -0.056 F 0.037] [G loss: -0.018]  0:02:15.017799
808 [D loss: -0.017 R -0.065 F 0.030] [G loss: -0.015]  0:02:15.461715
809 [D loss: -0.011 R -0.061 F 0.039] [G loss: -0.022]  0:02:15.888289
810 [D loss: -0.012 R -0.059 F 0.036] [G loss: -0.021]  0:02:16.319178
811 [D loss: -0.009 R -0.053 F 0.034] [G loss: -0.017]  0:02:16.746534
812 [D loss: -0.015 R -0.062 F 0.031] [G loss: -0.019]  0:02:17.165420
813 [D loss: -0.011 R -0.060 F 0.039] [G loss: -0.028]  0:02:17.604750
814 [D loss: -0.014 R -0.063 F 0.035] [G loss: -0.022]  0:02:18.041834
815 [D loss: -0.009 R -0.063 F 0.045] [G loss: -0.026]  0:02:18.475867
816 [D loss: -0.013 R -0.062 F 0.036] [G loss: -0.018]  0:02:18.916427
817 [D loss: -0.008 R -0.057 F 0.041] [G loss: -0.019]  0:02:19.363131
818 [D loss: -0.015 R -0.060 F 0.030] [G loss: -0.015]  0:02:19.793243
819 [D loss: -0.011 R -0.056 F 0.034] [G loss: -0.023]  0:02:20.233981
820 [D loss: -0.007 R -0.057 F 0.043] [G loss: -0.026]  0:02:20.681845
821 [D loss: -0.010 R -0.063 F 0.043] [G loss: -0.023]  0:02:21.107924
822 [D loss: -0.010 R -0.062 F 0.042] [G loss: -0.023]  0:02:21.569537
823 [D loss: -0.009 R -0.061 F 0.042] [G loss: -0.026]  0:02:22.020712
824 [D loss: -0.008 R -0.059 F 0.042] [G loss: -0.022]  0:02:22.441073
825 [D loss: -0.013 R -0.057 F 0.030] [G loss: -0.016]  0:02:22.887170
826 [D loss: -0.007 R -0.055 F 0.041] [G loss: -0.022]  0:02:23.335780
827 [D loss: -0.013 R -0.058 F 0.032] [G loss: -0.016]  0:02:23.781943
828 [D loss: -0.012 R -0.058 F 0.033] [G loss: -0.020]  0:02:24.223872
829 [D loss: -0.008 R -0.049 F 0.033] [G loss: -0.018]  0:02:24.662607
830 [D loss: -0.008 R -0.053 F 0.036] [G loss: -0.014]  0:02:25.112594
831 [D loss: -0.014 R -0.053 F 0.024] [G loss: -0.011]  0:02:25.541409
832 [D loss: -0.007 R -0.048 F 0.034] [G loss: -0.012]  0:02:25.958960
833 [D loss: -0.010 R -0.052 F 0.033] [G loss: -0.014]  0:02:26.401681
834 [D loss: -0.013 R -0.053 F 0.027] [G loss: -0.018]  0:02:26.825141
835 [D loss: -0.013 R -0.053 F 0.027] [G loss: -0.016]  0:02:27.266978
836 [D loss: -0.007 R -0.058 F 0.044] [G loss: -0.021]  0:02:27.713435
837 [D loss: -0.013 R -0.055 F 0.030] [G loss: -0.019]  0:02:28.164398
838 [D loss: -0.011 R -0.051 F 0.029] [G loss: -0.011]  0:02:28.600079
839 [D loss: -0.012 R -0.054 F 0.030] [G loss: -0.014]  0:02:29.053595
840 [D loss: -0.011 R -0.052 F 0.030] [G loss: -0.016]  0:02:29.484517
841 [D loss: -0.012 R -0.051 F 0.027] [G loss: -0.018]  0:02:29.909125
842 [D loss: -0.009 R -0.048 F 0.031] [G loss: -0.017]  0:02:30.361744
843 [D loss: -0.012 R -0.058 F 0.033] [G loss: -0.016]  0:02:30.806885
844 [D loss: -0.012 R -0.061 F 0.037] [G loss: -0.021]  0:02:31.251837
845 [D loss: -0.011 R -0.060 F 0.037] [G loss: -0.021]  0:02:31.676821
846 [D loss: -0.012 R -0.065 F 0.040] [G loss: -0.022]  0:02:32.145803
847 [D loss: -0.009 R -0.056 F 0.038] [G loss: -0.026]  0:02:32.571445
848 [D loss: -0.010 R -0.066 F 0.046] [G loss: -0.025]  0:02:33.007810
849 [D loss: -0.008 R -0.057 F 0.040] [G loss: -0.021]  0:02:33.435773
850 [D loss: -0.011 R -0.059 F 0.037] [G loss: -0.020]  0:02:33.861731
851 [D loss: -0.017 R -0.058 F 0.025] [G loss: -0.012]  0:02:34.308373
852 [D loss: -0.013 R -0.060 F 0.034] [G loss: -0.021]  0:02:34.736915
853 [D loss: -0.008 R -0.057 F 0.041] [G loss: -0.019]  0:02:35.175839
854 [D loss: -0.008 R -0.055 F 0.039] [G loss: -0.022]  0:02:35.616606
855 [D loss: -0.013 R -0.064 F 0.038] [G loss: -0.023]  0:02:36.050311
856 [D loss: -0.007 R -0.054 F 0.040] [G loss: -0.020]  0:02:36.499102
857 [D loss: -0.013 R -0.063 F 0.037] [G loss: -0.019]  0:02:36.935426
858 [D loss: -0.007 R -0.053 F 0.039] [G loss: -0.019]  0:02:37.398225
859 [D loss: -0.008 R -0.055 F 0.039] [G loss: -0.020]  0:02:37.808668
860 [D loss: -0.012 R -0.056 F 0.032] [G loss: -0.016]  0:02:38.254453
861 [D loss: -0.012 R -0.058 F 0.034] [G loss: -0.019]  0:02:38.687793
862 [D loss: -0.010 R -0.058 F 0.037] [G loss: -0.018]  0:02:39.393637
863 [D loss: -0.010 R -0.055 F 0.036] [G loss: -0.021]  0:02:39.809632
864 [D loss: -0.011 R -0.054 F 0.032] [G loss: -0.017]  0:02:40.292675
865 [D loss: -0.009 R -0.055 F 0.037] [G loss: -0.015]  0:02:40.713003
866 [D loss: -0.012 R -0.051 F 0.027] [G loss: -0.014]  0:02:41.149661
867 [D loss: -0.016 R -0.067 F 0.035] [G loss: -0.023]  0:02:41.575492
868 [D loss: -0.009 R -0.064 F 0.045] [G loss: -0.025]  0:02:42.021782
869 [D loss: -0.015 R -0.061 F 0.030] [G loss: -0.025]  0:02:42.472417
870 [D loss: -0.013 R -0.059 F 0.033] [G loss: -0.022]  0:02:42.890719
871 [D loss: -0.008 R -0.056 F 0.040] [G loss: -0.011]  0:02:43.346607
872 [D loss: -0.014 R -0.053 F 0.024] [G loss: -0.008]  0:02:43.785918
873 [D loss: -0.017 R -0.059 F 0.024] [G loss: -0.017]  0:02:44.209921
874 [D loss: -0.010 R -0.057 F 0.036] [G loss: -0.017]  0:02:44.638131
875 [D loss: -0.018 R -0.059 F 0.022] [G loss: -0.011]  0:02:45.118628
876 [D loss: -0.018 R -0.059 F 0.023] [G loss: -0.013]  0:02:45.562968
877 [D loss: -0.007 R -0.054 F 0.041] [G loss: -0.026]  0:02:46.018918
878 [D loss: -0.015 R -0.060 F 0.030] [G loss: -0.017]  0:02:46.505281
879 [D loss: -0.011 R -0.052 F 0.029] [G loss: -0.016]  0:02:46.952822
880 [D loss: -0.013 R -0.055 F 0.030] [G loss: -0.016]  0:02:47.409969
881 [D loss: -0.011 R -0.055 F 0.033] [G loss: -0.015]  0:02:47.864201
882 [D loss: -0.006 R -0.052 F 0.040] [G loss: -0.020]  0:02:48.294695
883 [D loss: -0.014 R -0.065 F 0.037] [G loss: -0.018]  0:02:48.746083
884 [D loss: -0.011 R -0.057 F 0.035] [G loss: -0.020]  0:02:49.197548
885 [D loss: -0.013 R -0.061 F 0.035] [G loss: -0.025]  0:02:49.620763
886 [D loss: -0.012 R -0.066 F 0.042] [G loss: -0.027]  0:02:50.054286
887 [D loss: -0.010 R -0.061 F 0.041] [G loss: -0.026]  0:02:50.463802
888 [D loss: -0.018 R -0.071 F 0.036] [G loss: -0.022]  0:02:50.919600
889 [D loss: -0.018 R -0.069 F 0.032] [G loss: -0.022]  0:02:51.359474
890 [D loss: -0.011 R -0.071 F 0.048] [G loss: -0.026]  0:02:51.778110
891 [D loss: -0.021 R -0.080 F 0.037] [G loss: -0.024]  0:02:52.207434
892 [D loss: -0.009 R -0.075 F 0.057] [G loss: -0.039]  0:02:52.656563
893 [D loss: -0.014 R -0.070 F 0.042] [G loss: -0.030]  0:02:53.108964
894 [D loss: -0.003 R -0.066 F 0.059] [G loss: -0.025]  0:02:53.544179
895 [D loss: -0.020 R -0.066 F 0.026] [G loss: -0.017]  0:02:53.986795
896 [D loss: -0.012 R -0.064 F 0.040] [G loss: -0.027]  0:02:54.450667
897 [D loss: -0.008 R -0.064 F 0.048] [G loss: -0.026]  0:02:54.907989
898 [D loss: -0.013 R -0.063 F 0.038] [G loss: -0.022]  0:02:55.343254
899 [D loss: -0.009 R -0.059 F 0.041] [G loss: -0.026]  0:02:55.784326
900 [D loss: -0.012 R -0.062 F 0.038] [G loss: -0.020]  0:02:56.233327
901 [D loss: -0.013 R -0.059 F 0.034] [G loss: -0.015]  0:02:56.692847
902 [D loss: -0.009 R -0.057 F 0.038] [G loss: -0.023]  0:02:57.140920
903 [D loss: -0.012 R -0.059 F 0.036] [G loss: -0.020]  0:02:57.572116
904 [D loss: -0.012 R -0.064 F 0.040] [G loss: -0.021]  0:02:58.002006
905 [D loss: -0.011 R -0.058 F 0.035] [G loss: -0.016]  0:02:58.484466
906 [D loss: -0.015 R -0.057 F 0.028] [G loss: -0.013]  0:02:58.918848
907 [D loss: -0.011 R -0.060 F 0.038] [G loss: -0.026]  0:02:59.339993
908 [D loss: -0.022 R -0.059 F 0.014] [G loss: -0.006]  0:02:59.767449
909 [D loss: -0.012 R -0.058 F 0.033] [G loss: -0.014]  0:03:00.201603
910 [D loss: -0.018 R -0.056 F 0.019] [G loss: -0.009]  0:03:00.648129
911 [D loss: -0.016 R -0.057 F 0.025] [G loss: -0.015]  0:03:01.106916
912 [D loss: -0.014 R -0.055 F 0.028] [G loss: -0.015]  0:03:01.562541
913 [D loss: -0.013 R -0.059 F 0.032] [G loss: -0.013]  0:03:01.985655
914 [D loss: -0.011 R -0.053 F 0.031] [G loss: -0.015]  0:03:02.434598
915 [D loss: -0.011 R -0.053 F 0.031] [G loss: -0.011]  0:03:02.864260
916 [D loss: -0.010 R -0.050 F 0.031] [G loss: -0.011]  0:03:03.286449
917 [D loss: -0.014 R -0.052 F 0.024] [G loss: -0.005]  0:03:03.735515
918 [D loss: -0.016 R -0.054 F 0.021] [G loss: -0.010]  0:03:04.166276
919 [D loss: -0.011 R -0.050 F 0.027] [G loss: -0.010]  0:03:04.588465
920 [D loss: -0.009 R -0.046 F 0.028] [G loss: -0.013]  0:03:05.065626
921 [D loss: -0.011 R -0.048 F 0.027] [G loss: -0.013]  0:03:05.495587
922 [D loss: -0.011 R -0.050 F 0.027] [G loss: -0.013]  0:03:05.942840
923 [D loss: -0.011 R -0.054 F 0.033] [G loss: -0.014]  0:03:06.385085
924 [D loss: -0.008 R -0.049 F 0.034] [G loss: -0.014]  0:03:06.823101
925 [D loss: -0.007 R -0.047 F 0.033] [G loss: -0.008]  0:03:07.278479
926 [D loss: -0.012 R -0.047 F 0.023] [G loss: -0.008]  0:03:07.706475
927 [D loss: -0.014 R -0.049 F 0.021] [G loss: -0.010]  0:03:08.141265
928 [D loss: -0.008 R -0.041 F 0.024] [G loss: -0.006]  0:03:08.586554
929 [D loss: -0.012 R -0.037 F 0.014] [G loss: 0.006]  0:03:09.010917
930 [D loss: -0.009 R -0.040 F 0.022] [G loss: -0.002]  0:03:09.454642
931 [D loss: -0.012 R -0.045 F 0.021] [G loss: -0.005]  0:03:09.889212
932 [D loss: -0.017 R -0.051 F 0.017] [G loss: -0.000]  0:03:10.310178
933 [D loss: -0.012 R -0.045 F 0.021] [G loss: -0.004]  0:03:10.760399
934 [D loss: -0.008 R -0.043 F 0.027] [G loss: -0.007]  0:03:11.188515
935 [D loss: -0.011 R -0.052 F 0.030] [G loss: -0.012]  0:03:11.664291
936 [D loss: -0.013 R -0.056 F 0.030] [G loss: -0.019]  0:03:12.092209
937 [D loss: -0.016 R -0.063 F 0.032] [G loss: -0.014]  0:03:12.512371
938 [D loss: -0.015 R -0.066 F 0.037] [G loss: -0.019]  0:03:12.954682
939 [D loss: -0.012 R -0.066 F 0.041] [G loss: -0.019]  0:03:13.399675
940 [D loss: -0.010 R -0.061 F 0.041] [G loss: -0.021]  0:03:13.828334
941 [D loss: -0.015 R -0.065 F 0.036] [G loss: -0.024]  0:03:14.247635
942 [D loss: -0.016 R -0.065 F 0.033] [G loss: -0.022]  0:03:14.698465
943 [D loss: -0.015 R -0.063 F 0.033] [G loss: -0.020]  0:03:15.146258
944 [D loss: -0.011 R -0.065 F 0.043] [G loss: -0.022]  0:03:15.596850
945 [D loss: -0.012 R -0.066 F 0.042] [G loss: -0.018]  0:03:16.017021
946 [D loss: -0.010 R -0.059 F 0.040] [G loss: -0.021]  0:03:16.462641
947 [D loss: -0.017 R -0.066 F 0.032] [G loss: -0.024]  0:03:16.953891
948 [D loss: -0.013 R -0.064 F 0.039] [G loss: -0.017]  0:03:17.410698
949 [D loss: -0.011 R -0.052 F 0.029] [G loss: -0.013]  0:03:17.828823
950 [D loss: -0.010 R -0.047 F 0.027] [G loss: -0.008]  0:03:18.291112
951 [D loss: -0.012 R -0.050 F 0.026] [G loss: -0.004]  0:03:18.739857
952 [D loss: -0.014 R -0.053 F 0.025] [G loss: -0.011]  0:03:19.173245
953 [D loss: -0.017 R -0.056 F 0.023] [G loss: -0.009]  0:03:19.599328
954 [D loss: -0.007 R -0.047 F 0.034] [G loss: -0.019]  0:03:20.048807
955 [D loss: -0.009 R -0.049 F 0.032] [G loss: -0.009]  0:03:20.484048
956 [D loss: -0.016 R -0.054 F 0.023] [G loss: -0.011]  0:03:20.906868
957 [D loss: -0.015 R -0.055 F 0.025] [G loss: -0.013]  0:03:21.346720
958 [D loss: -0.013 R -0.057 F 0.031] [G loss: -0.017]  0:03:21.804270
959 [D loss: -0.010 R -0.053 F 0.033] [G loss: -0.015]  0:03:22.241255
960 [D loss: -0.017 R -0.056 F 0.023] [G loss: -0.011]  0:03:22.657494
961 [D loss: -0.011 R -0.055 F 0.032] [G loss: -0.019]  0:03:23.094714
962 [D loss: -0.011 R -0.058 F 0.037] [G loss: -0.015]  0:03:23.546283
963 [D loss: -0.013 R -0.053 F 0.028] [G loss: -0.014]  0:03:24.001068
964 [D loss: -0.015 R -0.057 F 0.027] [G loss: -0.013]  0:03:24.448456
965 [D loss: -0.016 R -0.061 F 0.030] [G loss: -0.012]  0:03:24.898357
966 [D loss: -0.017 R -0.060 F 0.027] [G loss: -0.013]  0:03:25.336130
967 [D loss: -0.007 R -0.054 F 0.039] [G loss: -0.020]  0:03:25.772626
968 [D loss: -0.009 R -0.056 F 0.038] [G loss: -0.016]  0:03:26.210129
969 [D loss: -0.021 R -0.050 F 0.008] [G loss: 0.002]  0:03:26.641325
970 [D loss: -0.021 R -0.053 F 0.011] [G loss: -0.006]  0:03:27.089539
971 [D loss: -0.012 R -0.047 F 0.023] [G loss: -0.012]  0:03:27.514787
972 [D loss: -0.006 R -0.045 F 0.032] [G loss: -0.010]  0:03:27.958422
973 [D loss: -0.014 R -0.056 F 0.028] [G loss: -0.010]  0:03:28.418262
974 [D loss: -0.020 R -0.062 F 0.022] [G loss: -0.008]  0:03:28.877710
975 [D loss: -0.013 R -0.052 F 0.026] [G loss: -0.015]  0:03:29.318256
976 [D loss: -0.009 R -0.055 F 0.037] [G loss: -0.018]  0:03:29.763193
977 [D loss: -0.007 R -0.053 F 0.040] [G loss: -0.024]  0:03:30.197172
978 [D loss: -0.011 R -0.060 F 0.038] [G loss: -0.020]  0:03:30.635181
979 [D loss: -0.012 R -0.054 F 0.029] [G loss: -0.012]  0:03:31.066959
980 [D loss: -0.018 R -0.055 F 0.019] [G loss: -0.010]  0:03:31.505054
981 [D loss: -0.012 R -0.055 F 0.031] [G loss: -0.018]  0:03:31.950394
982 [D loss: -0.009 R -0.060 F 0.042] [G loss: -0.023]  0:03:32.401606
983 [D loss: -0.009 R -0.061 F 0.043] [G loss: -0.029]  0:03:32.844120
984 [D loss: -0.010 R -0.064 F 0.044] [G loss: -0.025]  0:03:33.281873
985 [D loss: -0.012 R -0.067 F 0.043] [G loss: -0.026]  0:03:33.704315
986 [D loss: -0.011 R -0.067 F 0.045] [G loss: -0.023]  0:03:34.208584
987 [D loss: -0.014 R -0.066 F 0.038] [G loss: -0.018]  0:03:34.644727
988 [D loss: -0.010 R -0.064 F 0.045] [G loss: -0.026]  0:03:35.079030
989 [D loss: -0.007 R -0.062 F 0.047] [G loss: -0.029]  0:03:35.518082
990 [D loss: -0.009 R -0.058 F 0.041] [G loss: -0.020]  0:03:35.989430
991 [D loss: -0.011 R -0.056 F 0.034] [G loss: -0.012]  0:03:36.427490
992 [D loss: -0.013 R -0.059 F 0.033] [G loss: -0.012]  0:03:36.857814
993 [D loss: -0.010 R -0.057 F 0.037] [G loss: -0.017]  0:03:37.311075
994 [D loss: -0.009 R -0.056 F 0.038] [G loss: -0.019]  0:03:37.724940
995 [D loss: -0.011 R -0.060 F 0.038] [G loss: -0.021]  0:03:38.170206
996 [D loss: -0.010 R -0.062 F 0.041] [G loss: -0.019]  0:03:38.607056
997 [D loss: -0.010 R -0.053 F 0.032] [G loss: -0.014]  0:03:39.048556
998 [D loss: -0.009 R -0.064 F 0.047] [G loss: -0.016]  0:03:39.496139
999 [D loss: -0.012 R -0.063 F 0.040] [G loss: -0.021]  0:03:39.934865
1000 [D loss: -0.013 R -0.053 F 0.028] [G loss: -0.013]  0:03:40.362125
In [32]:
# Training in addition
# 追加で training する。

gan_work.train(
    x_train,
    batch_size = BATCH_SIZE,
    epochs = 6000,
    run_folder = save_path1,
    print_every_n_batches = 2000
)
1001 [D loss: -0.016 R -0.062 F 0.029] [G loss: -0.013]  0:00:00.455162
1002 [D loss: -0.011 R -0.059 F 0.036] [G loss: -0.014]  0:00:00.921511
1003 [D loss: -0.017 R -0.057 F 0.024] [G loss: -0.008]  0:00:01.378079
1004 [D loss: -0.016 R -0.054 F 0.022] [G loss: -0.008]  0:00:01.829481
1005 [D loss: -0.010 R -0.052 F 0.032] [G loss: -0.016]  0:00:02.295974
1006 [D loss: -0.013 R -0.057 F 0.031] [G loss: -0.014]  0:00:02.700287
1007 [D loss: -0.016 R -0.051 F 0.019] [G loss: -0.020]  0:00:03.163454
1008 [D loss: -0.014 R -0.060 F 0.031] [G loss: -0.020]  0:00:03.606801
1009 [D loss: -0.009 R -0.056 F 0.038] [G loss: -0.024]  0:00:04.040583
1010 [D loss: -0.014 R -0.061 F 0.032] [G loss: -0.014]  0:00:04.468204
1011 [D loss: -0.012 R -0.054 F 0.030] [G loss: -0.012]  0:00:04.888747
1012 [D loss: -0.013 R -0.056 F 0.031] [G loss: -0.010]  0:00:05.373965
1013 [D loss: -0.015 R -0.059 F 0.029] [G loss: -0.010]  0:00:05.842795
1014 [D loss: -0.008 R -0.049 F 0.032] [G loss: -0.015]  0:00:06.280046
1015 [D loss: -0.010 R -0.057 F 0.036] [G loss: -0.015]  0:00:06.739390
1016 [D loss: -0.012 R -0.060 F 0.035] [G loss: -0.016]  0:00:07.186938
1017 [D loss: -0.011 R -0.056 F 0.034] [G loss: -0.021]  0:00:07.622668
1018 [D loss: -0.008 R -0.054 F 0.039] [G loss: -0.016]  0:00:08.066516
1019 [D loss: -0.013 R -0.060 F 0.035] [G loss: -0.014]  0:00:08.507090
1020 [D loss: -0.014 R -0.063 F 0.036] [G loss: -0.016]  0:00:09.035846
1021 [D loss: -0.012 R -0.053 F 0.028] [G loss: -0.014]  0:00:09.468572
1022 [D loss: -0.015 R -0.058 F 0.028] [G loss: -0.012]  0:00:09.894238
1023 [D loss: -0.012 R -0.051 F 0.028] [G loss: -0.010]  0:00:10.372904
1024 [D loss: -0.012 R -0.051 F 0.027] [G loss: -0.014]  0:00:10.837309
1025 [D loss: -0.013 R -0.056 F 0.031] [G loss: -0.018]  0:00:11.274385
1026 [D loss: -0.014 R -0.052 F 0.024] [G loss: -0.011]  0:00:11.709678
1027 [D loss: -0.013 R -0.055 F 0.029] [G loss: -0.011]  0:00:12.132229
1028 [D loss: -0.011 R -0.052 F 0.029] [G loss: -0.007]  0:00:12.580190
1029 [D loss: -0.011 R -0.048 F 0.026] [G loss: -0.006]  0:00:13.017327
1030 [D loss: -0.019 R -0.064 F 0.025] [G loss: -0.013]  0:00:13.436291
1031 [D loss: -0.017 R -0.054 F 0.021] [G loss: -0.008]  0:00:13.910838
1032 [D loss: -0.010 R -0.054 F 0.034] [G loss: -0.013]  0:00:14.364957
1033 [D loss: -0.027 R -0.057 F 0.002] [G loss: -0.001]  0:00:14.792640
1034 [D loss: -0.016 R -0.050 F 0.018] [G loss: -0.010]  0:00:15.227809
1035 [D loss: -0.010 R -0.053 F 0.033] [G loss: -0.018]  0:00:15.922155
1036 [D loss: -0.013 R -0.057 F 0.031] [G loss: -0.006]  0:00:16.368079
1037 [D loss: -0.009 R -0.051 F 0.033] [G loss: -0.013]  0:00:16.808889
1038 [D loss: -0.019 R -0.062 F 0.024] [G loss: -0.006]  0:00:17.240220
1039 [D loss: -0.015 R -0.057 F 0.028] [G loss: -0.013]  0:00:17.705370
1040 [D loss: -0.009 R -0.055 F 0.037] [G loss: -0.018]  0:00:18.126081
1041 [D loss: -0.013 R -0.060 F 0.034] [G loss: -0.015]  0:00:18.571911
1042 [D loss: -0.014 R -0.057 F 0.030] [G loss: -0.013]  0:00:19.057570
1043 [D loss: -0.013 R -0.059 F 0.032] [G loss: -0.019]  0:00:19.498019
1044 [D loss: -0.010 R -0.061 F 0.040] [G loss: -0.022]  0:00:19.944461
1045 [D loss: -0.015 R -0.063 F 0.034] [G loss: -0.013]  0:00:20.381042
1046 [D loss: -0.017 R -0.069 F 0.035] [G loss: -0.015]  0:00:20.832461
1047 [D loss: -0.013 R -0.061 F 0.034] [G loss: -0.017]  0:00:21.279824
1048 [D loss: -0.013 R -0.057 F 0.032] [G loss: -0.019]  0:00:21.701533
1049 [D loss: -0.011 R -0.055 F 0.034] [G loss: -0.013]  0:00:22.154168
1050 [D loss: -0.013 R -0.052 F 0.026] [G loss: -0.017]  0:00:22.590406
1051 [D loss: -0.009 R -0.053 F 0.035] [G loss: -0.016]  0:00:23.047529
1052 [D loss: -0.012 R -0.049 F 0.025] [G loss: -0.012]  0:00:23.490482
1053 [D loss: -0.018 R -0.049 F 0.013] [G loss: 0.005]  0:00:23.928913
1054 [D loss: -0.020 R -0.051 F 0.011] [G loss: 0.019]  0:00:24.348381
1055 [D loss: -0.011 R -0.041 F 0.019] [G loss: -0.006]  0:00:24.770129
1056 [D loss: -0.015 R -0.046 F 0.016] [G loss: -0.007]  0:00:25.213854
1057 [D loss: -0.016 R -0.046 F 0.013] [G loss: -0.000]  0:00:25.655648
1058 [D loss: -0.009 R -0.038 F 0.019] [G loss: -0.006]  0:00:26.104511
1059 [D loss: -0.022 R -0.050 F 0.006] [G loss: -0.004]  0:00:26.540045
1060 [D loss: -0.016 R -0.061 F 0.029] [G loss: -0.016]  0:00:27.009205
1061 [D loss: -0.011 R -0.056 F 0.034] [G loss: -0.015]  0:00:27.445639
1062 [D loss: -0.015 R -0.054 F 0.023] [G loss: -0.003]  0:00:27.891177
1063 [D loss: -0.009 R -0.054 F 0.035] [G loss: -0.012]  0:00:28.314665
1064 [D loss: -0.016 R -0.061 F 0.029] [G loss: -0.013]  0:00:28.756547
1065 [D loss: -0.015 R -0.067 F 0.037] [G loss: -0.017]  0:00:29.188989
1066 [D loss: -0.013 R -0.072 F 0.046] [G loss: -0.023]  0:00:29.615580
1067 [D loss: -0.021 R -0.074 F 0.031] [G loss: -0.014]  0:00:30.088987
1068 [D loss: -0.015 R -0.066 F 0.037] [G loss: -0.020]  0:00:30.532393
1069 [D loss: -0.015 R -0.065 F 0.036] [G loss: -0.015]  0:00:30.969210
1070 [D loss: -0.010 R -0.068 F 0.049] [G loss: -0.026]  0:00:31.415517
1071 [D loss: -0.018 R -0.071 F 0.035] [G loss: -0.020]  0:00:31.847111
1072 [D loss: -0.018 R -0.076 F 0.040] [G loss: -0.027]  0:00:32.299190
1073 [D loss: -0.010 R -0.064 F 0.045] [G loss: -0.028]  0:00:32.724905
1074 [D loss: -0.016 R -0.068 F 0.036] [G loss: -0.014]  0:00:33.159383
1075 [D loss: -0.023 R -0.060 F 0.014] [G loss: 0.006]  0:00:33.596125
1076 [D loss: -0.012 R -0.046 F 0.023] [G loss: 0.001]  0:00:34.012387
1077 [D loss: -0.016 R -0.055 F 0.023] [G loss: -0.002]  0:00:34.445814
1078 [D loss: -0.013 R -0.051 F 0.024] [G loss: -0.009]  0:00:34.859575
1079 [D loss: -0.014 R -0.050 F 0.022] [G loss: -0.011]  0:00:35.289212
1080 [D loss: -0.020 R -0.056 F 0.015] [G loss: -0.004]  0:00:35.723453
1081 [D loss: -0.019 R -0.058 F 0.019] [G loss: -0.009]  0:00:36.161557
1082 [D loss: -0.012 R -0.045 F 0.021] [G loss: 0.000]  0:00:36.588348
1083 [D loss: -0.012 R -0.046 F 0.021] [G loss: 0.006]  0:00:37.038689
1084 [D loss: -0.020 R -0.048 F 0.008] [G loss: 0.007]  0:00:37.526855
1085 [D loss: -0.011 R -0.042 F 0.021] [G loss: 0.003]  0:00:37.972195
1086 [D loss: -0.018 R -0.055 F 0.019] [G loss: 0.002]  0:00:38.399412
1087 [D loss: -0.014 R -0.043 F 0.014] [G loss: -0.000]  0:00:38.838186
1088 [D loss: -0.015 R -0.044 F 0.015] [G loss: -0.003]  0:00:39.270458
1089 [D loss: -0.018 R -0.051 F 0.015] [G loss: -0.009]  0:00:39.704660
1090 [D loss: -0.012 R -0.057 F 0.032] [G loss: -0.014]  0:00:40.134253
1091 [D loss: -0.023 R -0.062 F 0.016] [G loss: -0.003]  0:00:40.581295
1092 [D loss: -0.019 R -0.053 F 0.016] [G loss: -0.007]  0:00:41.005728
1093 [D loss: -0.014 R -0.064 F 0.036] [G loss: -0.015]  0:00:41.427172
1094 [D loss: -0.030 R -0.064 F 0.003] [G loss: -0.002]  0:00:41.874410
1095 [D loss: -0.017 R -0.067 F 0.033] [G loss: -0.019]  0:00:42.322044
1096 [D loss: -0.015 R -0.067 F 0.037] [G loss: -0.022]  0:00:42.759068
1097 [D loss: -0.020 R -0.072 F 0.031] [G loss: -0.018]  0:00:43.186683
1098 [D loss: -0.015 R -0.063 F 0.033] [G loss: -0.020]  0:00:43.618370
1099 [D loss: -0.013 R -0.059 F 0.032] [G loss: -0.018]  0:00:44.061733
1100 [D loss: -0.021 R -0.060 F 0.017] [G loss: -0.016]  0:00:44.498861
1101 [D loss: -0.010 R -0.062 F 0.043] [G loss: -0.019]  0:00:44.939491
1102 [D loss: -0.008 R -0.062 F 0.046] [G loss: -0.022]  0:00:45.389599
1103 [D loss: -0.015 R -0.069 F 0.040] [G loss: -0.018]  0:00:45.815752
1104 [D loss: -0.014 R -0.067 F 0.039] [G loss: -0.018]  0:00:46.263196
1105 [D loss: -0.012 R -0.064 F 0.040] [G loss: -0.023]  0:00:46.703692
1106 [D loss: -0.012 R -0.065 F 0.041] [G loss: -0.019]  0:00:47.158721
1107 [D loss: -0.008 R -0.060 F 0.045] [G loss: -0.023]  0:00:47.583292
1108 [D loss: -0.013 R -0.063 F 0.037] [G loss: -0.013]  0:00:48.013128
1109 [D loss: -0.013 R -0.065 F 0.040] [G loss: -0.018]  0:00:48.441240
1110 [D loss: -0.015 R -0.068 F 0.038] [G loss: -0.017]  0:00:48.863963
1111 [D loss: -0.014 R -0.056 F 0.027] [G loss: -0.021]  0:00:49.299920
1112 [D loss: -0.016 R -0.067 F 0.035] [G loss: -0.021]  0:00:49.739747
1113 [D loss: -0.016 R -0.063 F 0.032] [G loss: -0.004]  0:00:50.189901
1114 [D loss: -0.011 R -0.059 F 0.037] [G loss: -0.014]  0:00:50.628282
1115 [D loss: -0.013 R -0.058 F 0.032] [G loss: -0.014]  0:00:51.068288
1116 [D loss: -0.015 R -0.052 F 0.021] [G loss: -0.009]  0:00:51.504476
1117 [D loss: -0.015 R -0.052 F 0.021] [G loss: 0.002]  0:00:51.938671
1118 [D loss: -0.015 R -0.054 F 0.024] [G loss: -0.002]  0:00:52.409423
1119 [D loss: -0.009 R -0.049 F 0.031] [G loss: -0.010]  0:00:52.844347
1120 [D loss: -0.015 R -0.060 F 0.030] [G loss: -0.011]  0:00:53.288233
1121 [D loss: -0.015 R -0.062 F 0.033] [G loss: -0.011]  0:00:53.719793
1122 [D loss: -0.014 R -0.060 F 0.031] [G loss: -0.018]  0:00:54.156583
1123 [D loss: -0.015 R -0.064 F 0.034] [G loss: -0.021]  0:00:54.604880
1124 [D loss: -0.017 R -0.062 F 0.028] [G loss: -0.015]  0:00:55.059593
1125 [D loss: -0.023 R -0.055 F 0.010] [G loss: -0.018]  0:00:55.499929
1126 [D loss: -0.020 R -0.068 F 0.029] [G loss: -0.018]  0:00:55.953202
1127 [D loss: -0.026 R -0.076 F 0.025] [G loss: -0.013]  0:00:56.384003
1128 [D loss: -0.025 R -0.056 F 0.007] [G loss: -0.000]  0:00:56.855540
1129 [D loss: -0.008 R -0.048 F 0.032] [G loss: -0.015]  0:00:57.277313
1130 [D loss: -0.014 R -0.052 F 0.024] [G loss: -0.007]  0:00:57.738120
1131 [D loss: -0.014 R -0.049 F 0.020] [G loss: -0.003]  0:00:58.178372
1132 [D loss: -0.014 R -0.060 F 0.033] [G loss: -0.015]  0:00:58.622698
1133 [D loss: -0.017 R -0.051 F 0.017] [G loss: -0.009]  0:00:59.056421
1134 [D loss: -0.012 R -0.050 F 0.027] [G loss: -0.011]  0:00:59.480334
1135 [D loss: -0.015 R -0.066 F 0.036] [G loss: -0.019]  0:00:59.926169
1136 [D loss: -0.013 R -0.057 F 0.031] [G loss: -0.011]  0:01:00.361250
1137 [D loss: -0.021 R -0.056 F 0.014] [G loss: -0.002]  0:01:00.789196
1138 [D loss: -0.016 R -0.062 F 0.030] [G loss: -0.005]  0:01:01.234683
1139 [D loss: -0.021 R -0.063 F 0.022] [G loss: -0.010]  0:01:01.668821
1140 [D loss: -0.015 R -0.069 F 0.039] [G loss: -0.018]  0:01:02.102316
1141 [D loss: -0.010 R -0.069 F 0.050] [G loss: -0.023]  0:01:02.541201
1142 [D loss: -0.023 R -0.065 F 0.019] [G loss: -0.016]  0:01:02.961397
1143 [D loss: -0.017 R -0.069 F 0.035] [G loss: -0.014]  0:01:03.403336
1144 [D loss: -0.018 R -0.066 F 0.030] [G loss: -0.018]  0:01:03.841572
1145 [D loss: -0.013 R -0.062 F 0.036] [G loss: -0.027]  0:01:04.265575
1146 [D loss: -0.012 R -0.062 F 0.038] [G loss: -0.020]  0:01:04.681166
1147 [D loss: -0.012 R -0.067 F 0.043] [G loss: -0.018]  0:01:05.103625
1148 [D loss: -0.012 R -0.064 F 0.039] [G loss: -0.014]  0:01:05.538221
1149 [D loss: -0.013 R -0.053 F 0.027] [G loss: -0.015]  0:01:05.976635
1150 [D loss: -0.020 R -0.068 F 0.028] [G loss: -0.015]  0:01:06.436948
1151 [D loss: -0.016 R -0.063 F 0.031] [G loss: -0.014]  0:01:06.873831
1152 [D loss: -0.008 R -0.061 F 0.045] [G loss: -0.020]  0:01:07.348239
1153 [D loss: -0.013 R -0.066 F 0.039] [G loss: -0.026]  0:01:07.790325
1154 [D loss: -0.015 R -0.075 F 0.045] [G loss: -0.028]  0:01:08.241257
1155 [D loss: -0.014 R -0.063 F 0.035] [G loss: -0.021]  0:01:08.661460
1156 [D loss: -0.015 R -0.071 F 0.041] [G loss: -0.025]  0:01:09.079956
1157 [D loss: -0.013 R -0.059 F 0.033] [G loss: -0.014]  0:01:09.511768
1158 [D loss: -0.012 R -0.054 F 0.030] [G loss: -0.006]  0:01:09.941790
1159 [D loss: -0.024 R -0.068 F 0.020] [G loss: -0.007]  0:01:10.399449
1160 [D loss: -0.030 R -0.067 F 0.006] [G loss: -0.007]  0:01:10.830504
1161 [D loss: -0.013 R -0.065 F 0.039] [G loss: -0.014]  0:01:11.281083
1162 [D loss: -0.016 R -0.058 F 0.025] [G loss: -0.019]  0:01:11.697804
1163 [D loss: -0.018 R -0.061 F 0.024] [G loss: -0.017]  0:01:12.121394
1164 [D loss: -0.016 R -0.056 F 0.025] [G loss: -0.005]  0:01:12.587448
1165 [D loss: -0.016 R -0.049 F 0.017] [G loss: 0.005]  0:01:13.028517
1166 [D loss: -0.016 R -0.057 F 0.024] [G loss: -0.004]  0:01:13.472607
1167 [D loss: -0.020 R -0.066 F 0.026] [G loss: -0.017]  0:01:13.895452
1168 [D loss: -0.012 R -0.051 F 0.026] [G loss: -0.013]  0:01:14.338978
1169 [D loss: -0.010 R -0.055 F 0.034] [G loss: -0.010]  0:01:14.770156
1170 [D loss: -0.018 R -0.060 F 0.024] [G loss: -0.004]  0:01:15.204837
1171 [D loss: -0.025 R -0.065 F 0.014] [G loss: 0.000]  0:01:15.631777
1172 [D loss: -0.013 R -0.052 F 0.026] [G loss: -0.018]  0:01:16.078721
1173 [D loss: -0.009 R -0.055 F 0.037] [G loss: -0.015]  0:01:16.523870
1174 [D loss: -0.010 R -0.056 F 0.035] [G loss: -0.021]  0:01:16.952659
1175 [D loss: -0.012 R -0.056 F 0.031] [G loss: -0.008]  0:01:17.388077
1176 [D loss: -0.022 R -0.061 F 0.016] [G loss: 0.005]  0:01:17.819226
1177 [D loss: -0.019 R -0.060 F 0.021] [G loss: -0.004]  0:01:18.232093
1178 [D loss: -0.015 R -0.059 F 0.030] [G loss: -0.011]  0:01:18.660241
1179 [D loss: -0.018 R -0.052 F 0.017] [G loss: -0.009]  0:01:19.099974
1180 [D loss: -0.010 R -0.054 F 0.035] [G loss: -0.014]  0:01:19.540317
1181 [D loss: -0.015 R -0.060 F 0.030] [G loss: -0.011]  0:01:19.974456
1182 [D loss: -0.017 R -0.054 F 0.020] [G loss: -0.004]  0:01:20.414874
1183 [D loss: -0.014 R -0.053 F 0.024] [G loss: 0.002]  0:01:20.854136
1184 [D loss: -0.016 R -0.058 F 0.027] [G loss: -0.012]  0:01:21.297237
1185 [D loss: -0.010 R -0.059 F 0.038] [G loss: -0.017]  0:01:21.715057
1186 [D loss: -0.018 R -0.061 F 0.025] [G loss: -0.015]  0:01:22.172155
1187 [D loss: -0.016 R -0.065 F 0.033] [G loss: -0.011]  0:01:22.599766
1188 [D loss: -0.012 R -0.059 F 0.036] [G loss: -0.015]  0:01:23.041008
1189 [D loss: -0.021 R -0.070 F 0.028] [G loss: -0.016]  0:01:23.489369
1190 [D loss: -0.014 R -0.062 F 0.034] [G loss: -0.024]  0:01:23.929148
1191 [D loss: -0.009 R -0.055 F 0.036] [G loss: -0.016]  0:01:24.367620
1192 [D loss: -0.012 R -0.058 F 0.035] [G loss: -0.013]  0:01:24.790646
1193 [D loss: -0.019 R -0.063 F 0.025] [G loss: -0.014]  0:01:25.230880
1194 [D loss: -0.014 R -0.065 F 0.037] [G loss: -0.021]  0:01:25.693446
1195 [D loss: -0.016 R -0.062 F 0.030] [G loss: -0.024]  0:01:26.118327
1196 [D loss: -0.014 R -0.069 F 0.040] [G loss: -0.019]  0:01:26.544996
1197 [D loss: -0.008 R -0.056 F 0.039] [G loss: -0.015]  0:01:27.003057
1198 [D loss: -0.020 R -0.063 F 0.023] [G loss: -0.013]  0:01:27.435495
1199 [D loss: -0.015 R -0.068 F 0.037] [G loss: -0.011]  0:01:27.899248
1200 [D loss: -0.014 R -0.065 F 0.036] [G loss: -0.018]  0:01:28.328079
1201 [D loss: -0.012 R -0.061 F 0.037] [G loss: -0.015]  0:01:28.790174
1202 [D loss: -0.017 R -0.061 F 0.026] [G loss: -0.015]  0:01:29.222802
1203 [D loss: -0.016 R -0.059 F 0.028] [G loss: -0.017]  0:01:29.657670
1204 [D loss: -0.006 R -0.057 F 0.045] [G loss: -0.022]  0:01:30.081171
1205 [D loss: -0.017 R -0.062 F 0.028] [G loss: -0.013]  0:01:30.521156
1206 [D loss: -0.013 R -0.061 F 0.035] [G loss: -0.015]  0:01:30.946271
1207 [D loss: -0.016 R -0.052 F 0.020] [G loss: -0.005]  0:01:31.398836
1208 [D loss: -0.025 R -0.057 F 0.008] [G loss: -0.021]  0:01:32.082163
1209 [D loss: -0.023 R -0.062 F 0.015] [G loss: -0.016]  0:01:32.507950
1210 [D loss: -0.013 R -0.058 F 0.031] [G loss: -0.012]  0:01:32.944304
1211 [D loss: -0.015 R -0.057 F 0.027] [G loss: -0.011]  0:01:33.401702
1212 [D loss: -0.017 R -0.059 F 0.025] [G loss: -0.008]  0:01:33.854040
1213 [D loss: -0.011 R -0.051 F 0.028] [G loss: -0.004]  0:01:34.274094
1214 [D loss: -0.021 R -0.055 F 0.013] [G loss: -0.002]  0:01:34.699254
1215 [D loss: -0.014 R -0.052 F 0.025] [G loss: -0.012]  0:01:35.145124
1216 [D loss: -0.014 R -0.048 F 0.020] [G loss: -0.003]  0:01:35.579783
1217 [D loss: -0.023 R -0.056 F 0.011] [G loss: -0.006]  0:01:36.028793
1218 [D loss: -0.018 R -0.046 F 0.010] [G loss: -0.006]  0:01:36.464213
1219 [D loss: -0.014 R -0.044 F 0.017] [G loss: 0.005]  0:01:36.940066
1220 [D loss: -0.016 R -0.047 F 0.016] [G loss: -0.000]  0:01:37.389270
1221 [D loss: -0.029 R -0.057 F -0.001] [G loss: -0.002]  0:01:37.844232
1222 [D loss: -0.006 R -0.037 F 0.026] [G loss: -0.003]  0:01:38.288246
1223 [D loss: -0.019 R -0.058 F 0.021] [G loss: 0.003]  0:01:38.729984
1224 [D loss: -0.028 R -0.062 F 0.006] [G loss: -0.002]  0:01:39.189634
1225 [D loss: -0.011 R -0.053 F 0.031] [G loss: -0.017]  0:01:39.641605
1226 [D loss: -0.007 R -0.054 F 0.040] [G loss: -0.020]  0:01:40.077178
1227 [D loss: -0.015 R -0.059 F 0.028] [G loss: 0.003]  0:01:40.507962
1228 [D loss: -0.014 R -0.060 F 0.031] [G loss: -0.005]  0:01:40.953562
1229 [D loss: -0.015 R -0.072 F 0.042] [G loss: -0.016]  0:01:41.397318
1230 [D loss: -0.014 R -0.075 F 0.048] [G loss: -0.028]  0:01:41.841712
1231 [D loss: -0.022 R -0.078 F 0.034] [G loss: -0.020]  0:01:42.273381
1232 [D loss: -0.012 R -0.061 F 0.036] [G loss: -0.018]  0:01:42.706737
1233 [D loss: -0.019 R -0.067 F 0.029] [G loss: -0.014]  0:01:43.158246
1234 [D loss: -0.018 R -0.063 F 0.026] [G loss: -0.024]  0:01:43.612636
1235 [D loss: -0.022 R -0.070 F 0.026] [G loss: -0.032]  0:01:44.058963
1236 [D loss: -0.010 R -0.079 F 0.059] [G loss: -0.036]  0:01:44.491303
1237 [D loss: -0.023 R -0.080 F 0.035] [G loss: -0.028]  0:01:44.949704
1238 [D loss: -0.022 R -0.075 F 0.032] [G loss: -0.025]  0:01:45.389128
1239 [D loss: -0.010 R -0.071 F 0.051] [G loss: -0.023]  0:01:45.841422
1240 [D loss: -0.011 R -0.061 F 0.040] [G loss: -0.014]  0:01:46.312554
1241 [D loss: -0.022 R -0.068 F 0.024] [G loss: -0.012]  0:01:46.745742
1242 [D loss: -0.012 R -0.061 F 0.037] [G loss: -0.023]  0:01:47.174427
1243 [D loss: -0.016 R -0.065 F 0.033] [G loss: -0.016]  0:01:47.598135
1244 [D loss: -0.014 R -0.067 F 0.040] [G loss: -0.008]  0:01:48.024525
1245 [D loss: -0.013 R -0.066 F 0.040] [G loss: -0.022]  0:01:48.468560
1246 [D loss: -0.016 R -0.074 F 0.041] [G loss: -0.024]  0:01:48.907850
1247 [D loss: -0.016 R -0.063 F 0.032] [G loss: -0.019]  0:01:49.340965
1248 [D loss: -0.021 R -0.062 F 0.021] [G loss: -0.007]  0:01:49.791358
1249 [D loss: -0.010 R -0.053 F 0.032] [G loss: -0.005]  0:01:50.212855
1250 [D loss: -0.016 R -0.062 F 0.030] [G loss: -0.008]  0:01:50.664002
1251 [D loss: -0.013 R -0.056 F 0.030] [G loss: -0.018]  0:01:51.103594
1252 [D loss: -0.014 R -0.063 F 0.035] [G loss: -0.013]  0:01:51.538182
1253 [D loss: -0.015 R -0.054 F 0.024] [G loss: -0.004]  0:01:51.974565
1254 [D loss: -0.020 R -0.044 F 0.004] [G loss: 0.003]  0:01:52.426148
1255 [D loss: -0.028 R -0.053 F -0.003] [G loss: 0.006]  0:01:52.850985
1256 [D loss: -0.005 R -0.046 F 0.037] [G loss: -0.006]  0:01:53.286318
1257 [D loss: -0.015 R -0.046 F 0.017] [G loss: -0.002]  0:01:53.736212
1258 [D loss: -0.010 R -0.050 F 0.030] [G loss: -0.007]  0:01:54.211252
1259 [D loss: -0.014 R -0.050 F 0.023] [G loss: 0.001]  0:01:54.657457
1260 [D loss: -0.014 R -0.046 F 0.018] [G loss: 0.001]  0:01:55.074739
1261 [D loss: -0.018 R -0.058 F 0.022] [G loss: -0.007]  0:01:55.497133
1262 [D loss: -0.011 R -0.047 F 0.026] [G loss: -0.007]  0:01:55.932240
1263 [D loss: -0.009 R -0.047 F 0.028] [G loss: -0.006]  0:01:56.371860
1264 [D loss: -0.017 R -0.055 F 0.021] [G loss: -0.006]  0:01:56.812638
1265 [D loss: -0.019 R -0.050 F 0.013] [G loss: -0.001]  0:01:57.237543
1266 [D loss: -0.015 R -0.051 F 0.021] [G loss: -0.003]  0:01:57.674089
1267 [D loss: -0.013 R -0.046 F 0.019] [G loss: -0.006]  0:01:58.108021
1268 [D loss: -0.015 R -0.057 F 0.026] [G loss: -0.007]  0:01:58.551525
1269 [D loss: -0.009 R -0.050 F 0.032] [G loss: -0.008]  0:01:58.977279
1270 [D loss: -0.020 R -0.062 F 0.021] [G loss: -0.000]  0:01:59.394496
1271 [D loss: -0.023 R -0.053 F 0.007] [G loss: -0.005]  0:01:59.871968
1272 [D loss: -0.016 R -0.067 F 0.036] [G loss: -0.006]  0:02:00.333687
1273 [D loss: -0.020 R -0.071 F 0.031] [G loss: -0.014]  0:02:00.763398
1274 [D loss: -0.020 R -0.061 F 0.020] [G loss: -0.017]  0:02:01.197482
1275 [D loss: -0.020 R -0.074 F 0.033] [G loss: -0.028]  0:02:01.651662
1276 [D loss: -0.012 R -0.057 F 0.033] [G loss: -0.018]  0:02:02.091658
1277 [D loss: -0.021 R -0.059 F 0.018] [G loss: 0.002]  0:02:02.556851
1278 [D loss: -0.025 R -0.064 F 0.014] [G loss: -0.011]  0:02:02.974121
1279 [D loss: -0.011 R -0.059 F 0.037] [G loss: -0.017]  0:02:03.417383
1280 [D loss: -0.011 R -0.069 F 0.048] [G loss: -0.032]  0:02:03.875390
1281 [D loss: -0.022 R -0.073 F 0.029] [G loss: -0.035]  0:02:04.331900
1282 [D loss: -0.014 R -0.080 F 0.051] [G loss: -0.027]  0:02:04.775632
1283 [D loss: -0.005 R -0.074 F 0.064] [G loss: -0.032]  0:02:05.227651
1284 [D loss: -0.011 R -0.068 F 0.045] [G loss: -0.026]  0:02:05.643366
1285 [D loss: -0.018 R -0.070 F 0.034] [G loss: -0.018]  0:02:06.074309
1286 [D loss: -0.015 R -0.064 F 0.034] [G loss: -0.011]  0:02:06.501592
1287 [D loss: -0.015 R -0.065 F 0.034] [G loss: -0.008]  0:02:06.936414
1288 [D loss: -0.015 R -0.062 F 0.032] [G loss: -0.012]  0:02:07.387310
1289 [D loss: -0.010 R -0.059 F 0.040] [G loss: -0.017]  0:02:07.830517
1290 [D loss: -0.012 R -0.062 F 0.039] [G loss: -0.017]  0:02:08.297549
1291 [D loss: -0.015 R -0.061 F 0.031] [G loss: -0.017]  0:02:08.735711
1292 [D loss: -0.016 R -0.062 F 0.029] [G loss: -0.023]  0:02:09.171453
1293 [D loss: -0.011 R -0.069 F 0.046] [G loss: -0.027]  0:02:09.618465
1294 [D loss: -0.016 R -0.076 F 0.044] [G loss: -0.026]  0:02:10.069526
1295 [D loss: -0.022 R -0.060 F 0.016] [G loss: 0.001]  0:02:10.508644
1296 [D loss: -0.016 R -0.053 F 0.020] [G loss: 0.002]  0:02:10.935365
1297 [D loss: -0.021 R -0.053 F 0.011] [G loss: -0.002]  0:02:11.359230
1298 [D loss: -0.020 R -0.054 F 0.013] [G loss: -0.011]  0:02:11.780267
1299 [D loss: -0.015 R -0.064 F 0.033] [G loss: -0.017]  0:02:12.230923
1300 [D loss: -0.024 R -0.062 F 0.014] [G loss: -0.007]  0:02:12.666392
1301 [D loss: -0.025 R -0.064 F 0.014] [G loss: -0.011]  0:02:13.126308
1302 [D loss: -0.009 R -0.054 F 0.036] [G loss: -0.010]  0:02:13.559634
1303 [D loss: -0.024 R -0.059 F 0.011] [G loss: 0.013]  0:02:14.028849
1304 [D loss: -0.026 R -0.064 F 0.012] [G loss: 0.007]  0:02:14.498213
1305 [D loss: -0.012 R -0.051 F 0.028] [G loss: 0.002]  0:02:14.949129
1306 [D loss: -0.021 R -0.054 F 0.012] [G loss: 0.001]  0:02:15.389279
1307 [D loss: -0.014 R -0.056 F 0.029] [G loss: -0.002]  0:02:15.820136
1308 [D loss: -0.011 R -0.044 F 0.021] [G loss: -0.007]  0:02:16.280663
1309 [D loss: -0.019 R -0.054 F 0.017] [G loss: -0.010]  0:02:16.699804
1310 [D loss: -0.009 R -0.060 F 0.042] [G loss: -0.012]  0:02:17.149412
1311 [D loss: -0.007 R -0.046 F 0.033] [G loss: -0.009]  0:02:17.578314
1312 [D loss: -0.020 R -0.059 F 0.020] [G loss: -0.011]  0:02:18.035870
1313 [D loss: -0.013 R -0.063 F 0.037] [G loss: -0.013]  0:02:18.481355
1314 [D loss: -0.012 R -0.058 F 0.035] [G loss: -0.016]  0:02:18.899626
1315 [D loss: -0.014 R -0.059 F 0.031] [G loss: -0.011]  0:02:19.338657
1316 [D loss: -0.024 R -0.065 F 0.017] [G loss: -0.005]  0:02:19.784135
1317 [D loss: -0.011 R -0.062 F 0.040] [G loss: -0.012]  0:02:20.231924
1318 [D loss: -0.014 R -0.059 F 0.031] [G loss: -0.005]  0:02:20.664486
1319 [D loss: -0.008 R -0.055 F 0.040] [G loss: -0.015]  0:02:21.102209
1320 [D loss: -0.011 R -0.059 F 0.037] [G loss: -0.023]  0:02:21.552276
1321 [D loss: -0.014 R -0.072 F 0.044] [G loss: -0.018]  0:02:21.990035
1322 [D loss: -0.009 R -0.062 F 0.044] [G loss: -0.018]  0:02:22.437589
1323 [D loss: -0.017 R -0.081 F 0.047] [G loss: -0.020]  0:02:22.862220
1324 [D loss: -0.009 R -0.063 F 0.046] [G loss: -0.025]  0:02:23.308205
1325 [D loss: -0.013 R -0.061 F 0.035] [G loss: -0.016]  0:02:23.762413
1326 [D loss: -0.010 R -0.065 F 0.045] [G loss: -0.026]  0:02:24.205444
1327 [D loss: -0.016 R -0.057 F 0.026] [G loss: -0.019]  0:02:24.646950
1328 [D loss: -0.010 R -0.054 F 0.034] [G loss: -0.011]  0:02:25.074117
1329 [D loss: -0.028 R -0.063 F 0.008] [G loss: -0.004]  0:02:25.546580
1330 [D loss: -0.019 R -0.059 F 0.022] [G loss: -0.014]  0:02:25.976368
1331 [D loss: -0.011 R -0.063 F 0.041] [G loss: -0.020]  0:02:26.445124
1332 [D loss: -0.034 R -0.064 F -0.003] [G loss: 0.000]  0:02:26.858650
1333 [D loss: -0.011 R -0.059 F 0.036] [G loss: -0.011]  0:02:27.306335
1334 [D loss: -0.008 R -0.054 F 0.038] [G loss: -0.011]  0:02:27.740785
1335 [D loss: -0.017 R -0.054 F 0.019] [G loss: 0.003]  0:02:28.159039
1336 [D loss: -0.018 R -0.066 F 0.030] [G loss: -0.015]  0:02:28.604059
1337 [D loss: -0.023 R -0.063 F 0.017] [G loss: -0.006]  0:02:29.034651
1338 [D loss: -0.016 R -0.056 F 0.023] [G loss: -0.014]  0:02:29.511920
1339 [D loss: -0.007 R -0.053 F 0.038] [G loss: -0.001]  0:02:29.940344
1340 [D loss: -0.023 R -0.055 F 0.010] [G loss: -0.000]  0:02:30.411774
1341 [D loss: -0.031 R -0.056 F -0.006] [G loss: -0.005]  0:02:30.876583
1342 [D loss: -0.014 R -0.050 F 0.022] [G loss: -0.014]  0:02:31.360266
1343 [D loss: -0.010 R -0.063 F 0.043] [G loss: -0.012]  0:02:31.793474
1344 [D loss: -0.014 R -0.051 F 0.023] [G loss: -0.001]  0:02:32.224812
1345 [D loss: -0.011 R -0.059 F 0.038] [G loss: -0.013]  0:02:32.672345
1346 [D loss: -0.019 R -0.067 F 0.029] [G loss: -0.009]  0:02:33.113716
1347 [D loss: -0.014 R -0.063 F 0.035] [G loss: -0.013]  0:02:33.572281
1348 [D loss: -0.010 R -0.059 F 0.040] [G loss: -0.019]  0:02:34.027816
1349 [D loss: -0.013 R -0.057 F 0.031] [G loss: -0.009]  0:02:34.488701
1350 [D loss: -0.021 R -0.059 F 0.017] [G loss: -0.008]  0:02:34.931099
1351 [D loss: -0.024 R -0.052 F 0.003] [G loss: 0.003]  0:02:35.386752
1352 [D loss: -0.009 R -0.032 F 0.014] [G loss: 0.009]  0:02:35.808302
1353 [D loss: -0.014 R -0.034 F 0.007] [G loss: 0.015]  0:02:36.248894
1354 [D loss: -0.018 R -0.045 F 0.008] [G loss: 0.003]  0:02:36.718059
1355 [D loss: -0.010 R -0.047 F 0.026] [G loss: -0.007]  0:02:37.163124
1356 [D loss: -0.028 R -0.051 F -0.006] [G loss: 0.005]  0:02:37.614218
1357 [D loss: -0.029 R -0.045 F -0.014] [G loss: 0.010]  0:02:38.035814
1358 [D loss: -0.015 R -0.050 F 0.021] [G loss: -0.005]  0:02:38.459959
1359 [D loss: -0.019 R -0.048 F 0.009] [G loss: 0.014]  0:02:38.885198
1360 [D loss: -0.015 R -0.040 F 0.010] [G loss: 0.009]  0:02:39.284926
1361 [D loss: -0.011 R -0.050 F 0.029] [G loss: -0.006]  0:02:39.704289
1362 [D loss: -0.011 R -0.051 F 0.028] [G loss: -0.009]  0:02:40.174491
1363 [D loss: -0.015 R -0.051 F 0.021] [G loss: -0.008]  0:02:40.585359
1364 [D loss: -0.021 R -0.066 F 0.024] [G loss: -0.005]  0:02:40.992268
1365 [D loss: -0.018 R -0.060 F 0.025] [G loss: -0.000]  0:02:41.419918
1366 [D loss: -0.030 R -0.062 F 0.003] [G loss: -0.009]  0:02:41.843132
1367 [D loss: -0.017 R -0.053 F 0.019] [G loss: -0.016]  0:02:42.278461
1368 [D loss: -0.011 R -0.063 F 0.040] [G loss: -0.018]  0:02:42.710655
1369 [D loss: -0.013 R -0.073 F 0.047] [G loss: -0.017]  0:02:43.147143
1370 [D loss: -0.015 R -0.077 F 0.047] [G loss: -0.017]  0:02:43.590169
1371 [D loss: -0.013 R -0.077 F 0.052] [G loss: -0.031]  0:02:44.031137
1372 [D loss: -0.011 R -0.069 F 0.046] [G loss: -0.027]  0:02:44.464920
1373 [D loss: -0.011 R -0.072 F 0.050] [G loss: -0.034]  0:02:44.913864
1374 [D loss: -0.017 R -0.079 F 0.044] [G loss: -0.030]  0:02:45.360807
1375 [D loss: -0.020 R -0.075 F 0.036] [G loss: -0.032]  0:02:45.792621
1376 [D loss: -0.013 R -0.069 F 0.042] [G loss: -0.036]  0:02:46.241162
1377 [D loss: -0.010 R -0.071 F 0.052] [G loss: -0.029]  0:02:46.682679
1378 [D loss: -0.022 R -0.070 F 0.026] [G loss: -0.013]  0:02:47.127224
1379 [D loss: -0.020 R -0.063 F 0.023] [G loss: -0.000]  0:02:47.569241
1380 [D loss: -0.020 R -0.060 F 0.020] [G loss: 0.004]  0:02:48.020731
1381 [D loss: -0.018 R -0.061 F 0.025] [G loss: -0.012]  0:02:48.452344
1382 [D loss: 0.000 R -0.057 F 0.057] [G loss: -0.018]  0:02:49.168627
1383 [D loss: -0.014 R -0.057 F 0.029] [G loss: -0.002]  0:02:49.609247
1384 [D loss: -0.034 R -0.062 F -0.006] [G loss: 0.009]  0:02:50.048732
1385 [D loss: -0.021 R -0.057 F 0.015] [G loss: 0.003]  0:02:50.468024
1386 [D loss: -0.009 R -0.062 F 0.043] [G loss: -0.010]  0:02:50.897134
1387 [D loss: -0.009 R -0.044 F 0.026] [G loss: -0.001]  0:02:51.322079
1388 [D loss: -0.016 R -0.048 F 0.016] [G loss: 0.008]  0:02:51.769230
1389 [D loss: -0.013 R -0.049 F 0.022] [G loss: -0.003]  0:02:52.200184
1390 [D loss: -0.017 R -0.046 F 0.013] [G loss: -0.001]  0:02:52.638067
1391 [D loss: -0.013 R -0.036 F 0.009] [G loss: -0.001]  0:02:53.053760
1392 [D loss: -0.010 R -0.046 F 0.025] [G loss: 0.004]  0:02:53.475185
1393 [D loss: -0.015 R -0.047 F 0.016] [G loss: 0.012]  0:02:53.914960
1394 [D loss: -0.014 R -0.038 F 0.009] [G loss: 0.007]  0:02:54.349857
1395 [D loss: -0.017 R -0.042 F 0.007] [G loss: 0.005]  0:02:54.771650
1396 [D loss: -0.002 R -0.030 F 0.025] [G loss: 0.001]  0:02:55.195481
1397 [D loss: -0.015 R -0.033 F 0.004] [G loss: 0.014]  0:02:55.660376
1398 [D loss: -0.015 R -0.027 F -0.003] [G loss: 0.023]  0:02:56.111952
1399 [D loss: -0.013 R -0.033 F 0.006] [G loss: 0.011]  0:02:56.559784
1400 [D loss: -0.017 R -0.052 F 0.017] [G loss: -0.009]  0:02:56.989636
1401 [D loss: -0.013 R -0.054 F 0.027] [G loss: -0.008]  0:02:57.401672
1402 [D loss: -0.021 R -0.062 F 0.021] [G loss: -0.005]  0:02:57.841787
1403 [D loss: -0.021 R -0.065 F 0.023] [G loss: -0.018]  0:02:58.281574
1404 [D loss: -0.017 R -0.072 F 0.038] [G loss: -0.024]  0:02:58.709421
1405 [D loss: -0.023 R -0.074 F 0.027] [G loss: -0.013]  0:02:59.138796
1406 [D loss: -0.018 R -0.068 F 0.031] [G loss: -0.008]  0:02:59.563939
1407 [D loss: -0.015 R -0.064 F 0.035] [G loss: -0.032]  0:02:59.999577
1408 [D loss: -0.020 R -0.083 F 0.043] [G loss: -0.033]  0:03:00.419498
1409 [D loss: -0.007 R -0.083 F 0.069] [G loss: -0.042]  0:03:00.851072
1410 [D loss: -0.020 R -0.080 F 0.040] [G loss: -0.025]  0:03:01.296215
1411 [D loss: -0.021 R -0.076 F 0.034] [G loss: -0.023]  0:03:01.739703
1412 [D loss: -0.016 R -0.085 F 0.054] [G loss: -0.039]  0:03:02.174143
1413 [D loss: -0.032 R -0.070 F 0.006] [G loss: -0.017]  0:03:02.628099
1414 [D loss: -0.024 R -0.082 F 0.034] [G loss: -0.022]  0:03:03.060635
1415 [D loss: -0.012 R -0.071 F 0.046] [G loss: -0.013]  0:03:03.500844
1416 [D loss: -0.024 R -0.059 F 0.010] [G loss: 0.012]  0:03:03.929630
1417 [D loss: -0.022 R -0.072 F 0.027] [G loss: -0.009]  0:03:04.366865
1418 [D loss: -0.012 R -0.055 F 0.031] [G loss: -0.023]  0:03:04.786155
1419 [D loss: -0.026 R -0.062 F 0.009] [G loss: -0.010]  0:03:05.248120
1420 [D loss: -0.008 R -0.060 F 0.044] [G loss: -0.017]  0:03:05.713675
1421 [D loss: -0.025 R -0.071 F 0.020] [G loss: -0.006]  0:03:06.178145
1422 [D loss: -0.021 R -0.046 F 0.005] [G loss: 0.003]  0:03:06.636645
1423 [D loss: -0.014 R -0.062 F 0.035] [G loss: -0.012]  0:03:07.084257
1424 [D loss: -0.024 R -0.055 F 0.007] [G loss: -0.004]  0:03:07.538758
1425 [D loss: -0.014 R -0.056 F 0.028] [G loss: -0.011]  0:03:07.991613
1426 [D loss: -0.004 R -0.056 F 0.048] [G loss: -0.014]  0:03:08.427180
1427 [D loss: -0.017 R -0.048 F 0.014] [G loss: 0.003]  0:03:08.861344
1428 [D loss: -0.023 R -0.045 F -0.002] [G loss: 0.014]  0:03:09.279925
1429 [D loss: -0.019 R -0.054 F 0.015] [G loss: 0.006]  0:03:09.719750
1430 [D loss: -0.012 R -0.051 F 0.027] [G loss: 0.002]  0:03:10.170639
1431 [D loss: -0.013 R -0.052 F 0.027] [G loss: -0.006]  0:03:10.584555
1432 [D loss: -0.015 R -0.058 F 0.028] [G loss: 0.002]  0:03:11.028800
1433 [D loss: -0.023 R -0.058 F 0.013] [G loss: 0.006]  0:03:11.456455
1434 [D loss: -0.010 R -0.036 F 0.016] [G loss: 0.005]  0:03:11.905777
1435 [D loss: -0.006 R -0.033 F 0.020] [G loss: 0.003]  0:03:12.344990
1436 [D loss: -0.019 R -0.044 F 0.005] [G loss: 0.008]  0:03:12.786132
1437 [D loss: -0.014 R -0.030 F 0.002] [G loss: 0.007]  0:03:13.242012
1438 [D loss: -0.002 R -0.036 F 0.032] [G loss: -0.009]  0:03:13.685179
1439 [D loss: -0.012 R -0.056 F 0.032] [G loss: -0.005]  0:03:14.128315
1440 [D loss: -0.020 R -0.055 F 0.015] [G loss: -0.004]  0:03:14.581515
1441 [D loss: -0.024 R -0.067 F 0.019] [G loss: -0.011]  0:03:15.023739
1442 [D loss: -0.009 R -0.055 F 0.036] [G loss: -0.017]  0:03:15.466988
1443 [D loss: -0.025 R -0.059 F 0.008] [G loss: -0.007]  0:03:15.901190
1444 [D loss: -0.021 R -0.063 F 0.020] [G loss: -0.004]  0:03:16.334793
1445 [D loss: -0.008 R -0.057 F 0.040] [G loss: -0.016]  0:03:16.753873
1446 [D loss: -0.017 R -0.057 F 0.022] [G loss: -0.005]  0:03:17.180656
1447 [D loss: -0.022 R -0.053 F 0.009] [G loss: -0.001]  0:03:17.621240
1448 [D loss: -0.017 R -0.050 F 0.016] [G loss: 0.005]  0:03:18.078485
1449 [D loss: -0.028 R -0.054 F -0.002] [G loss: 0.007]  0:03:18.542362
1450 [D loss: -0.019 R -0.050 F 0.011] [G loss: 0.002]  0:03:18.992204
1451 [D loss: -0.013 R -0.050 F 0.024] [G loss: -0.003]  0:03:19.460609
1452 [D loss: -0.019 R -0.058 F 0.020] [G loss: -0.007]  0:03:19.910740
1453 [D loss: -0.016 R -0.064 F 0.033] [G loss: -0.017]  0:03:20.350002
1454 [D loss: -0.012 R -0.065 F 0.042] [G loss: -0.013]  0:03:20.795700
1455 [D loss: -0.017 R -0.064 F 0.030] [G loss: -0.005]  0:03:21.248290
1456 [D loss: -0.016 R -0.068 F 0.036] [G loss: -0.013]  0:03:21.678483
1457 [D loss: -0.012 R -0.058 F 0.034] [G loss: -0.013]  0:03:22.110524
1458 [D loss: -0.016 R -0.062 F 0.030] [G loss: -0.007]  0:03:22.545205
1459 [D loss: -0.018 R -0.058 F 0.023] [G loss: -0.014]  0:03:22.977841
1460 [D loss: -0.011 R -0.056 F 0.033] [G loss: -0.011]  0:03:23.413230
1461 [D loss: -0.014 R -0.049 F 0.020] [G loss: -0.006]  0:03:23.870717
1462 [D loss: -0.015 R -0.050 F 0.020] [G loss: -0.001]  0:03:24.320490
1463 [D loss: -0.012 R -0.050 F 0.026] [G loss: -0.005]  0:03:24.735881
1464 [D loss: -0.012 R -0.051 F 0.026] [G loss: -0.006]  0:03:25.190507
1465 [D loss: -0.010 R -0.045 F 0.026] [G loss: -0.006]  0:03:25.631333
1466 [D loss: -0.013 R -0.048 F 0.023] [G loss: 0.001]  0:03:26.107915
1467 [D loss: -0.018 R -0.053 F 0.017] [G loss: -0.003]  0:03:26.559335
1468 [D loss: -0.013 R -0.060 F 0.034] [G loss: -0.011]  0:03:27.008187
1469 [D loss: -0.018 R -0.055 F 0.020] [G loss: -0.018]  0:03:27.462883
1470 [D loss: -0.021 R -0.053 F 0.012] [G loss: -0.009]  0:03:27.904903
1471 [D loss: -0.014 R -0.058 F 0.031] [G loss: -0.013]  0:03:28.375475
1472 [D loss: -0.021 R -0.058 F 0.015] [G loss: 0.006]  0:03:28.801214
1473 [D loss: -0.030 R -0.053 F -0.007] [G loss: 0.009]  0:03:29.234780
1474 [D loss: -0.016 R -0.054 F 0.021] [G loss: -0.006]  0:03:29.672298
1475 [D loss: -0.010 R -0.060 F 0.040] [G loss: -0.017]  0:03:30.090068
1476 [D loss: -0.022 R -0.065 F 0.021] [G loss: -0.001]  0:03:30.530669
1477 [D loss: -0.016 R -0.060 F 0.028] [G loss: -0.013]  0:03:30.960029
1478 [D loss: -0.019 R -0.055 F 0.016] [G loss: -0.001]  0:03:31.403278
1479 [D loss: -0.016 R -0.053 F 0.020] [G loss: 0.003]  0:03:31.856341
1480 [D loss: -0.011 R -0.045 F 0.022] [G loss: -0.004]  0:03:32.297882
1481 [D loss: -0.009 R -0.055 F 0.037] [G loss: -0.011]  0:03:32.760190
1482 [D loss: -0.016 R -0.061 F 0.029] [G loss: -0.012]  0:03:33.203481
1483 [D loss: -0.009 R -0.065 F 0.047] [G loss: -0.020]  0:03:33.653075
1484 [D loss: -0.012 R -0.070 F 0.046] [G loss: -0.020]  0:03:34.093767
1485 [D loss: -0.010 R -0.057 F 0.038] [G loss: -0.022]  0:03:34.525296
1486 [D loss: -0.015 R -0.062 F 0.032] [G loss: -0.020]  0:03:34.955230
1487 [D loss: -0.006 R -0.063 F 0.051] [G loss: -0.015]  0:03:35.410857
1488 [D loss: -0.009 R -0.056 F 0.038] [G loss: -0.011]  0:03:35.841716
1489 [D loss: -0.017 R -0.059 F 0.025] [G loss: -0.014]  0:03:36.281760
1490 [D loss: -0.010 R -0.054 F 0.033] [G loss: -0.022]  0:03:36.702542
1491 [D loss: -0.009 R -0.060 F 0.041] [G loss: -0.024]  0:03:37.180364
1492 [D loss: -0.017 R -0.065 F 0.031] [G loss: -0.012]  0:03:37.685358
1493 [D loss: -0.013 R -0.053 F 0.027] [G loss: -0.005]  0:03:38.125287
1494 [D loss: -0.019 R -0.049 F 0.011] [G loss: -0.000]  0:03:38.547609
1495 [D loss: -0.017 R -0.050 F 0.016] [G loss: -0.010]  0:03:38.993868
1496 [D loss: -0.017 R -0.068 F 0.035] [G loss: -0.015]  0:03:39.459119
1497 [D loss: -0.020 R -0.058 F 0.017] [G loss: -0.008]  0:03:39.919753
1498 [D loss: -0.022 R -0.066 F 0.022] [G loss: -0.014]  0:03:40.342049
1499 [D loss: -0.005 R -0.064 F 0.054] [G loss: -0.016]  0:03:40.766374
1500 [D loss: -0.014 R -0.057 F 0.030] [G loss: -0.010]  0:03:41.193522
1501 [D loss: -0.009 R -0.040 F 0.021] [G loss: -0.003]  0:03:41.613154
1502 [D loss: -0.016 R -0.050 F 0.018] [G loss: -0.007]  0:03:42.048302
1503 [D loss: -0.011 R -0.055 F 0.033] [G loss: 0.002]  0:03:42.489238
1504 [D loss: -0.012 R -0.052 F 0.029] [G loss: -0.005]  0:03:42.934669
1505 [D loss: -0.005 R -0.051 F 0.040] [G loss: -0.013]  0:03:43.378370
1506 [D loss: -0.010 R -0.052 F 0.032] [G loss: -0.008]  0:03:43.860102
1507 [D loss: -0.014 R -0.063 F 0.035] [G loss: -0.010]  0:03:44.306261
1508 [D loss: -0.018 R -0.055 F 0.019] [G loss: -0.001]  0:03:44.748597
1509 [D loss: -0.009 R -0.045 F 0.027] [G loss: -0.004]  0:03:45.189780
1510 [D loss: -0.015 R -0.056 F 0.026] [G loss: -0.007]  0:03:45.609464
1511 [D loss: -0.011 R -0.048 F 0.026] [G loss: -0.004]  0:03:46.050446
1512 [D loss: -0.027 R -0.057 F 0.004] [G loss: 0.003]  0:03:46.524944
1513 [D loss: -0.021 R -0.044 F 0.002] [G loss: 0.011]  0:03:46.976555
1514 [D loss: -0.010 R -0.041 F 0.021] [G loss: 0.001]  0:03:47.423403
1515 [D loss: -0.011 R -0.037 F 0.014] [G loss: 0.009]  0:03:47.858954
1516 [D loss: -0.017 R -0.037 F 0.002] [G loss: 0.010]  0:03:48.295771
1517 [D loss: -0.005 R -0.031 F 0.020] [G loss: 0.007]  0:03:48.715709
1518 [D loss: -0.027 R -0.057 F 0.004] [G loss: 0.020]  0:03:49.163148
1519 [D loss: -0.040 R -0.045 F -0.036] [G loss: 0.030]  0:03:49.596691
1520 [D loss: -0.008 R -0.017 F 0.001] [G loss: 0.001]  0:03:50.025234
1521 [D loss: -0.005 R -0.035 F 0.026] [G loss: 0.005]  0:03:50.470966
1522 [D loss: -0.015 R -0.036 F 0.005] [G loss: 0.012]  0:03:50.911010
1523 [D loss: -0.016 R -0.046 F 0.013] [G loss: 0.003]  0:03:51.361247
1524 [D loss: -0.011 R -0.033 F 0.012] [G loss: 0.012]  0:03:51.801031
1525 [D loss: -0.022 R -0.041 F -0.004] [G loss: 0.013]  0:03:52.229802
1526 [D loss: -0.014 R -0.049 F 0.021] [G loss: 0.004]  0:03:52.664618
1527 [D loss: -0.014 R -0.047 F 0.019] [G loss: 0.004]  0:03:53.105605
1528 [D loss: -0.007 R -0.047 F 0.032] [G loss: -0.017]  0:03:53.540427
1529 [D loss: -0.015 R -0.059 F 0.028] [G loss: -0.016]  0:03:53.979535
1530 [D loss: -0.016 R -0.064 F 0.031] [G loss: -0.017]  0:03:54.435956
1531 [D loss: -0.011 R -0.060 F 0.038] [G loss: -0.006]  0:03:54.877374
1532 [D loss: -0.017 R -0.062 F 0.028] [G loss: -0.011]  0:03:55.308118
1533 [D loss: -0.021 R -0.075 F 0.033] [G loss: -0.018]  0:03:55.749660
1534 [D loss: -0.012 R -0.073 F 0.049] [G loss: -0.032]  0:03:56.172035
1535 [D loss: -0.013 R -0.069 F 0.042] [G loss: -0.020]  0:03:56.590676
1536 [D loss: -0.011 R -0.061 F 0.038] [G loss: -0.011]  0:03:57.038603
1537 [D loss: -0.012 R -0.057 F 0.032] [G loss: -0.002]  0:03:57.496079
1538 [D loss: -0.017 R -0.059 F 0.025] [G loss: -0.008]  0:03:57.943852
1539 [D loss: -0.014 R -0.060 F 0.031] [G loss: -0.009]  0:03:58.402594
1540 [D loss: -0.018 R -0.063 F 0.028] [G loss: -0.012]  0:03:58.841990
1541 [D loss: -0.012 R -0.050 F 0.025] [G loss: -0.008]  0:03:59.292044
1542 [D loss: -0.016 R -0.050 F 0.019] [G loss: 0.005]  0:03:59.725470
1543 [D loss: -0.018 R -0.050 F 0.015] [G loss: -0.001]  0:04:00.130499
1544 [D loss: -0.017 R -0.053 F 0.020] [G loss: 0.002]  0:04:00.572608
1545 [D loss: -0.010 R -0.051 F 0.030] [G loss: -0.006]  0:04:01.005914
1546 [D loss: -0.008 R -0.043 F 0.026] [G loss: -0.002]  0:04:01.450024
1547 [D loss: -0.018 R -0.049 F 0.014] [G loss: 0.000]  0:04:01.881663
1548 [D loss: -0.011 R -0.043 F 0.022] [G loss: -0.009]  0:04:02.323524
1549 [D loss: -0.024 R -0.049 F 0.000] [G loss: 0.009]  0:04:02.772278
1550 [D loss: -0.021 R -0.040 F -0.003] [G loss: 0.017]  0:04:03.214719
1551 [D loss: -0.030 R -0.048 F -0.011] [G loss: 0.014]  0:04:03.645815
1552 [D loss: -0.012 R -0.045 F 0.021] [G loss: -0.011]  0:04:04.052796
1553 [D loss: -0.017 R -0.047 F 0.014] [G loss: 0.002]  0:04:04.510368
1554 [D loss: -0.018 R -0.047 F 0.011] [G loss: 0.004]  0:04:04.918921
1555 [D loss: -0.009 R -0.043 F 0.025] [G loss: 0.001]  0:04:05.635058
1556 [D loss: -0.022 R -0.045 F 0.001] [G loss: 0.012]  0:04:06.058829
1557 [D loss: -0.010 R -0.042 F 0.022] [G loss: -0.000]  0:04:06.538558
1558 [D loss: -0.030 R -0.055 F -0.004] [G loss: 0.000]  0:04:06.980726
1559 [D loss: -0.014 R -0.046 F 0.018] [G loss: -0.006]  0:04:07.428900
1560 [D loss: -0.007 R -0.043 F 0.028] [G loss: 0.001]  0:04:07.886513
1561 [D loss: -0.019 R -0.049 F 0.012] [G loss: 0.013]  0:04:08.332948
1562 [D loss: -0.019 R -0.047 F 0.010] [G loss: 0.013]  0:04:08.794354
1563 [D loss: -0.019 R -0.043 F 0.004] [G loss: -0.003]  0:04:09.220537
1564 [D loss: -0.016 R -0.047 F 0.016] [G loss: -0.004]  0:04:09.658456
1565 [D loss: -0.006 R -0.056 F 0.043] [G loss: -0.013]  0:04:10.094643
1566 [D loss: -0.008 R -0.056 F 0.039] [G loss: -0.010]  0:04:10.521978
1567 [D loss: -0.012 R -0.050 F 0.026] [G loss: -0.002]  0:04:10.940068
1568 [D loss: -0.013 R -0.050 F 0.024] [G loss: -0.001]  0:04:11.384989
1569 [D loss: -0.015 R -0.054 F 0.023] [G loss: 0.002]  0:04:11.845186
1570 [D loss: -0.006 R -0.046 F 0.034] [G loss: -0.010]  0:04:12.305978
1571 [D loss: -0.018 R -0.051 F 0.014] [G loss: -0.006]  0:04:12.750440
1572 [D loss: -0.014 R -0.054 F 0.027] [G loss: -0.012]  0:04:13.175154
1573 [D loss: -0.016 R -0.038 F 0.007] [G loss: -0.000]  0:04:13.657200
1574 [D loss: -0.012 R -0.050 F 0.026] [G loss: 0.008]  0:04:14.094273
1575 [D loss: -0.020 R -0.032 F -0.008] [G loss: 0.018]  0:04:14.553616
1576 [D loss: -0.022 R -0.040 F -0.004] [G loss: 0.013]  0:04:15.017317
1577 [D loss: -0.011 R -0.043 F 0.021] [G loss: 0.003]  0:04:15.455423
1578 [D loss: -0.010 R -0.046 F 0.025] [G loss: -0.006]  0:04:15.896909
1579 [D loss: -0.015 R -0.050 F 0.020] [G loss: -0.013]  0:04:16.337041
1580 [D loss: -0.012 R -0.053 F 0.029] [G loss: -0.009]  0:04:16.771870
1581 [D loss: -0.017 R -0.059 F 0.026] [G loss: -0.000]  0:04:17.211941
1582 [D loss: -0.013 R -0.061 F 0.035] [G loss: -0.015]  0:04:17.712028
1583 [D loss: -0.014 R -0.052 F 0.024] [G loss: -0.016]  0:04:18.153282
1584 [D loss: -0.009 R -0.066 F 0.049] [G loss: -0.016]  0:04:18.599251
1585 [D loss: -0.017 R -0.072 F 0.038] [G loss: -0.017]  0:04:19.030809
1586 [D loss: -0.014 R -0.066 F 0.037] [G loss: -0.008]  0:04:19.486152
1587 [D loss: -0.012 R -0.047 F 0.023] [G loss: -0.008]  0:04:19.924276
1588 [D loss: -0.024 R -0.058 F 0.009] [G loss: -0.011]  0:04:20.347983
1589 [D loss: -0.021 R -0.056 F 0.014] [G loss: -0.001]  0:04:20.780767
1590 [D loss: -0.011 R -0.045 F 0.023] [G loss: 0.010]  0:04:21.227263
1591 [D loss: -0.011 R -0.044 F 0.022] [G loss: 0.006]  0:04:21.664939
1592 [D loss: -0.009 R -0.042 F 0.024] [G loss: -0.005]  0:04:22.098507
1593 [D loss: -0.019 R -0.044 F 0.005] [G loss: 0.006]  0:04:22.553982
1594 [D loss: -0.012 R -0.037 F 0.014] [G loss: 0.011]  0:04:22.963589
1595 [D loss: -0.016 R -0.036 F 0.003] [G loss: 0.015]  0:04:23.425827
1596 [D loss: -0.020 R -0.034 F -0.006] [G loss: 0.020]  0:04:23.891603
1597 [D loss: -0.020 R -0.038 F -0.001] [G loss: 0.015]  0:04:24.333310
1598 [D loss: -0.007 R -0.033 F 0.018] [G loss: 0.009]  0:04:24.769704
1599 [D loss: -0.011 R -0.037 F 0.015] [G loss: 0.010]  0:04:25.195842
1600 [D loss: -0.015 R -0.038 F 0.008] [G loss: 0.017]  0:04:25.631471
1601 [D loss: -0.013 R -0.037 F 0.012] [G loss: 0.016]  0:04:26.062147
1602 [D loss: -0.013 R -0.040 F 0.013] [G loss: 0.007]  0:04:26.482310
1603 [D loss: -0.015 R -0.047 F 0.016] [G loss: 0.007]  0:04:26.919318
1604 [D loss: -0.006 R -0.040 F 0.027] [G loss: -0.003]  0:04:27.361458
1605 [D loss: -0.011 R -0.043 F 0.021] [G loss: -0.004]  0:04:27.807643
1606 [D loss: -0.017 R -0.052 F 0.017] [G loss: -0.000]  0:04:28.258705
1607 [D loss: -0.015 R -0.047 F 0.016] [G loss: -0.004]  0:04:28.694673
1608 [D loss: -0.014 R -0.052 F 0.024] [G loss: -0.007]  0:04:29.129448
1609 [D loss: -0.013 R -0.052 F 0.026] [G loss: -0.004]  0:04:29.568769
1610 [D loss: -0.015 R -0.048 F 0.018] [G loss: 0.008]  0:04:29.986387
1611 [D loss: -0.021 R -0.044 F 0.001] [G loss: 0.016]  0:04:30.416702
1612 [D loss: -0.022 R -0.050 F 0.007] [G loss: 0.015]  0:04:30.872427
1613 [D loss: -0.012 R -0.032 F 0.008] [G loss: 0.006]  0:04:31.314680
1614 [D loss: -0.007 R -0.041 F 0.026] [G loss: -0.005]  0:04:31.766650
1615 [D loss: -0.012 R -0.039 F 0.016] [G loss: 0.002]  0:04:32.200552
1616 [D loss: -0.014 R -0.047 F 0.020] [G loss: 0.005]  0:04:32.654415
1617 [D loss: -0.009 R -0.055 F 0.036] [G loss: 0.001]  0:04:33.106020
1618 [D loss: -0.014 R -0.045 F 0.017] [G loss: -0.005]  0:04:33.557024
1619 [D loss: -0.009 R -0.046 F 0.028] [G loss: -0.009]  0:04:34.007684
1620 [D loss: -0.013 R -0.055 F 0.029] [G loss: -0.005]  0:04:34.508251
1621 [D loss: -0.021 R -0.053 F 0.011] [G loss: 0.004]  0:04:34.975545
1622 [D loss: -0.014 R -0.047 F 0.019] [G loss: 0.004]  0:04:35.440750
1623 [D loss: -0.023 R -0.057 F 0.010] [G loss: -0.004]  0:04:35.876321
1624 [D loss: -0.017 R -0.045 F 0.010] [G loss: -0.008]  0:04:36.314106
1625 [D loss: -0.018 R -0.060 F 0.024] [G loss: -0.004]  0:04:36.741367
1626 [D loss: -0.014 R -0.062 F 0.035] [G loss: -0.007]  0:04:37.212704
1627 [D loss: -0.011 R -0.055 F 0.032] [G loss: -0.007]  0:04:37.637150
1628 [D loss: -0.012 R -0.059 F 0.036] [G loss: -0.014]  0:04:38.106516
1629 [D loss: -0.015 R -0.064 F 0.033] [G loss: -0.011]  0:04:38.546797
1630 [D loss: -0.026 R -0.077 F 0.024] [G loss: -0.009]  0:04:38.989306
1631 [D loss: -0.024 R -0.059 F 0.011] [G loss: -0.015]  0:04:39.453772
1632 [D loss: -0.011 R -0.060 F 0.037] [G loss: -0.006]  0:04:39.902343
1633 [D loss: -0.009 R -0.050 F 0.033] [G loss: -0.003]  0:04:40.349286
1634 [D loss: -0.019 R -0.039 F 0.001] [G loss: -0.002]  0:04:40.794664
1635 [D loss: -0.011 R -0.034 F 0.011] [G loss: -0.006]  0:04:41.220639
1636 [D loss: -0.007 R -0.049 F 0.036] [G loss: -0.004]  0:04:41.649504
1637 [D loss: -0.028 R -0.047 F -0.008] [G loss: 0.012]  0:04:42.098106
1638 [D loss: -0.008 R -0.043 F 0.027] [G loss: 0.011]  0:04:42.533676
1639 [D loss: -0.014 R -0.041 F 0.013] [G loss: 0.008]  0:04:42.983836
1640 [D loss: -0.022 R -0.046 F 0.002] [G loss: 0.019]  0:04:43.458886
1641 [D loss: -0.022 R -0.048 F 0.005] [G loss: 0.017]  0:04:43.886835
1642 [D loss: -0.025 R -0.037 F -0.013] [G loss: 0.015]  0:04:44.312321
1643 [D loss: -0.012 R -0.026 F 0.002] [G loss: 0.008]  0:04:44.759080
1644 [D loss: -0.009 R -0.022 F 0.003] [G loss: 0.007]  0:04:45.199518
1645 [D loss: -0.007 R -0.024 F 0.011] [G loss: 0.010]  0:04:45.648762
1646 [D loss: -0.015 R -0.031 F 0.001] [G loss: 0.019]  0:04:46.088001
1647 [D loss: -0.021 R -0.038 F -0.004] [G loss: 0.021]  0:04:46.512251
1648 [D loss: -0.017 R -0.040 F 0.006] [G loss: 0.017]  0:04:46.964207
1649 [D loss: -0.013 R -0.043 F 0.016] [G loss: 0.007]  0:04:47.402545
1650 [D loss: -0.014 R -0.045 F 0.018] [G loss: -0.002]  0:04:47.836485
1651 [D loss: -0.015 R -0.046 F 0.017] [G loss: -0.002]  0:04:48.296695
1652 [D loss: -0.019 R -0.050 F 0.012] [G loss: 0.003]  0:04:48.733491
1653 [D loss: -0.024 R -0.054 F 0.006] [G loss: 0.005]  0:04:49.179459
1654 [D loss: -0.016 R -0.053 F 0.021] [G loss: -0.004]  0:04:49.628177
1655 [D loss: -0.014 R -0.052 F 0.024] [G loss: -0.014]  0:04:50.058072
1656 [D loss: -0.016 R -0.050 F 0.018] [G loss: -0.003]  0:04:50.501736
1657 [D loss: -0.015 R -0.048 F 0.019] [G loss: -0.000]  0:04:50.939584
1658 [D loss: -0.019 R -0.057 F 0.018] [G loss: -0.001]  0:04:51.364086
1659 [D loss: -0.014 R -0.056 F 0.028] [G loss: -0.002]  0:04:51.805655
1660 [D loss: -0.012 R -0.051 F 0.027] [G loss: -0.011]  0:04:52.243261
1661 [D loss: -0.013 R -0.054 F 0.028] [G loss: -0.012]  0:04:52.681497
1662 [D loss: -0.010 R -0.056 F 0.035] [G loss: -0.015]  0:04:53.119972
1663 [D loss: -0.011 R -0.052 F 0.030] [G loss: -0.012]  0:04:53.580576
1664 [D loss: -0.017 R -0.063 F 0.029] [G loss: -0.004]  0:04:54.022809
1665 [D loss: -0.015 R -0.062 F 0.032] [G loss: -0.011]  0:04:54.453215
1666 [D loss: -0.016 R -0.060 F 0.028] [G loss: -0.011]  0:04:54.887239
1667 [D loss: -0.017 R -0.057 F 0.022] [G loss: -0.009]  0:04:55.336476
1668 [D loss: -0.018 R -0.054 F 0.017] [G loss: -0.007]  0:04:55.812565
1669 [D loss: -0.016 R -0.054 F 0.022] [G loss: -0.004]  0:04:56.232744
1670 [D loss: -0.013 R -0.054 F 0.028] [G loss: -0.010]  0:04:56.653109
1671 [D loss: -0.017 R -0.049 F 0.015] [G loss: -0.004]  0:04:57.079274
1672 [D loss: -0.017 R -0.051 F 0.016] [G loss: -0.003]  0:04:57.510195
1673 [D loss: -0.018 R -0.053 F 0.018] [G loss: -0.005]  0:04:57.939479
1674 [D loss: -0.017 R -0.054 F 0.021] [G loss: -0.007]  0:04:58.371008
1675 [D loss: -0.023 R -0.052 F 0.007] [G loss: -0.007]  0:04:58.814826
1676 [D loss: -0.018 R -0.049 F 0.013] [G loss: 0.005]  0:04:59.258068
1677 [D loss: -0.017 R -0.055 F 0.022] [G loss: 0.002]  0:04:59.743286
1678 [D loss: -0.013 R -0.050 F 0.023] [G loss: 0.009]  0:05:00.187203
1679 [D loss: -0.016 R -0.045 F 0.014] [G loss: 0.007]  0:05:00.629303
1680 [D loss: -0.013 R -0.041 F 0.015] [G loss: 0.000]  0:05:01.056207
1681 [D loss: -0.019 R -0.046 F 0.008] [G loss: -0.004]  0:05:01.508244
1682 [D loss: -0.016 R -0.041 F 0.010] [G loss: 0.003]  0:05:01.970383
1683 [D loss: -0.014 R -0.028 F -0.001] [G loss: 0.009]  0:05:02.410464
1684 [D loss: -0.020 R -0.029 F -0.012] [G loss: 0.033]  0:05:02.842541
1685 [D loss: -0.021 R -0.025 F -0.017] [G loss: 0.042]  0:05:03.279547
1686 [D loss: -0.010 R -0.013 F -0.008] [G loss: 0.034]  0:05:03.716273
1687 [D loss: -0.015 R -0.017 F -0.013] [G loss: 0.028]  0:05:04.168364
1688 [D loss: -0.016 R -0.019 F -0.014] [G loss: 0.024]  0:05:04.606913
1689 [D loss: -0.014 R -0.023 F -0.006] [G loss: 0.018]  0:05:05.058715
1690 [D loss: -0.013 R -0.034 F 0.008] [G loss: 0.013]  0:05:05.518521
1691 [D loss: -0.013 R -0.033 F 0.007] [G loss: 0.021]  0:05:05.953675
1692 [D loss: -0.025 R -0.042 F -0.008] [G loss: 0.022]  0:05:06.399790
1693 [D loss: -0.010 R -0.045 F 0.024] [G loss: -0.006]  0:05:06.841470
1694 [D loss: -0.014 R -0.064 F 0.035] [G loss: -0.015]  0:05:07.261346
1695 [D loss: -0.017 R -0.052 F 0.017] [G loss: -0.008]  0:05:07.692591
1696 [D loss: -0.014 R -0.056 F 0.027] [G loss: -0.003]  0:05:08.142280
1697 [D loss: -0.017 R -0.057 F 0.023] [G loss: -0.006]  0:05:08.580621
1698 [D loss: -0.023 R -0.053 F 0.008] [G loss: -0.004]  0:05:09.030266
1699 [D loss: -0.015 R -0.051 F 0.021] [G loss: -0.012]  0:05:09.514381
1700 [D loss: -0.011 R -0.070 F 0.047] [G loss: -0.028]  0:05:09.949271
1701 [D loss: -0.011 R -0.072 F 0.051] [G loss: -0.021]  0:05:10.409269
1702 [D loss: -0.021 R -0.075 F 0.033] [G loss: -0.023]  0:05:10.859948
1703 [D loss: -0.015 R -0.070 F 0.040] [G loss: -0.013]  0:05:11.298240
1704 [D loss: -0.020 R -0.065 F 0.024] [G loss: -0.011]  0:05:11.763634
1705 [D loss: -0.017 R -0.056 F 0.022] [G loss: -0.012]  0:05:12.190303
1706 [D loss: -0.012 R -0.061 F 0.038] [G loss: -0.018]  0:05:12.619961
1707 [D loss: -0.020 R -0.071 F 0.030] [G loss: -0.017]  0:05:13.054463
1708 [D loss: -0.006 R -0.052 F 0.041] [G loss: -0.016]  0:05:13.505598
1709 [D loss: -0.013 R -0.056 F 0.030] [G loss: -0.003]  0:05:13.946383
1710 [D loss: -0.013 R -0.044 F 0.018] [G loss: 0.002]  0:05:14.392476
1711 [D loss: -0.023 R -0.050 F 0.005] [G loss: 0.011]  0:05:14.835201
1712 [D loss: -0.018 R -0.044 F 0.007] [G loss: 0.003]  0:05:15.257003
1713 [D loss: -0.014 R -0.054 F 0.027] [G loss: -0.011]  0:05:15.718495
1714 [D loss: -0.010 R -0.049 F 0.030] [G loss: -0.017]  0:05:16.167122
1715 [D loss: -0.014 R -0.051 F 0.024] [G loss: -0.012]  0:05:16.606482
1716 [D loss: -0.009 R -0.047 F 0.028] [G loss: -0.005]  0:05:17.042026
1717 [D loss: -0.011 R -0.048 F 0.026] [G loss: 0.008]  0:05:17.467630
1718 [D loss: -0.015 R -0.036 F 0.007] [G loss: 0.008]  0:05:17.916366
1719 [D loss: -0.010 R -0.042 F 0.021] [G loss: 0.002]  0:05:18.371289
1720 [D loss: -0.020 R -0.041 F 0.002] [G loss: 0.006]  0:05:18.837984
1721 [D loss: -0.017 R -0.047 F 0.012] [G loss: 0.016]  0:05:19.291407
1722 [D loss: -0.015 R -0.032 F 0.002] [G loss: 0.018]  0:05:19.757809
1723 [D loss: -0.014 R -0.028 F -0.000] [G loss: 0.021]  0:05:20.205306
1724 [D loss: -0.017 R -0.030 F -0.005] [G loss: 0.025]  0:05:20.656604
1725 [D loss: -0.022 R -0.031 F -0.012] [G loss: 0.019]  0:05:21.076639
1726 [D loss: -0.013 R -0.039 F 0.013] [G loss: 0.010]  0:05:21.528265
1727 [D loss: -0.015 R -0.037 F 0.007] [G loss: 0.006]  0:05:21.952155
1728 [D loss: -0.011 R -0.042 F 0.019] [G loss: -0.006]  0:05:22.412958
1729 [D loss: -0.012 R -0.052 F 0.027] [G loss: -0.005]  0:05:22.853648
1730 [D loss: -0.014 R -0.045 F 0.018] [G loss: 0.006]  0:05:23.553081
1731 [D loss: -0.017 R -0.049 F 0.014] [G loss: 0.003]  0:05:24.011216
1732 [D loss: -0.013 R -0.056 F 0.030] [G loss: -0.003]  0:05:24.490284
1733 [D loss: -0.011 R -0.046 F 0.023] [G loss: -0.007]  0:05:24.968654
1734 [D loss: -0.013 R -0.055 F 0.029] [G loss: -0.008]  0:05:25.399196
1735 [D loss: -0.015 R -0.052 F 0.023] [G loss: -0.006]  0:05:25.831491
1736 [D loss: -0.015 R -0.038 F 0.009] [G loss: 0.013]  0:05:26.267184
1737 [D loss: -0.015 R -0.040 F 0.011] [G loss: 0.004]  0:05:26.708154
1738 [D loss: -0.012 R -0.048 F 0.025] [G loss: -0.004]  0:05:27.144111
1739 [D loss: -0.011 R -0.046 F 0.024] [G loss: -0.010]  0:05:27.569586
1740 [D loss: -0.021 R -0.053 F 0.011] [G loss: -0.007]  0:05:27.994387
1741 [D loss: -0.011 R -0.054 F 0.032] [G loss: -0.004]  0:05:28.425157
1742 [D loss: -0.020 R -0.055 F 0.015] [G loss: -0.003]  0:05:28.859721
1743 [D loss: -0.015 R -0.055 F 0.025] [G loss: -0.009]  0:05:29.313534
1744 [D loss: -0.008 R -0.041 F 0.025] [G loss: -0.014]  0:05:29.757390
1745 [D loss: -0.010 R -0.046 F 0.026] [G loss: -0.002]  0:05:30.188376
1746 [D loss: -0.018 R -0.049 F 0.013] [G loss: 0.009]  0:05:30.620447
1747 [D loss: -0.026 R -0.055 F 0.002] [G loss: 0.009]  0:05:31.052870
1748 [D loss: -0.015 R -0.041 F 0.010] [G loss: 0.006]  0:05:31.484027
1749 [D loss: -0.014 R -0.032 F 0.005] [G loss: 0.018]  0:05:31.931086
1750 [D loss: -0.037 R -0.060 F -0.014] [G loss: 0.008]  0:05:32.372035
1751 [D loss: -0.013 R -0.034 F 0.009] [G loss: -0.006]  0:05:32.832461
1752 [D loss: -0.016 R -0.061 F 0.029] [G loss: -0.013]  0:05:33.283782
1753 [D loss: -0.012 R -0.058 F 0.034] [G loss: -0.005]  0:05:33.714514
1754 [D loss: -0.017 R -0.058 F 0.025] [G loss: -0.006]  0:05:34.166076
1755 [D loss: -0.019 R -0.070 F 0.033] [G loss: -0.002]  0:05:34.589125
1756 [D loss: -0.011 R -0.060 F 0.038] [G loss: -0.009]  0:05:35.039705
1757 [D loss: -0.009 R -0.060 F 0.041] [G loss: -0.021]  0:05:35.469729
1758 [D loss: -0.010 R -0.055 F 0.034] [G loss: -0.016]  0:05:35.945643
1759 [D loss: -0.011 R -0.051 F 0.030] [G loss: -0.010]  0:05:36.407968
1760 [D loss: -0.015 R -0.050 F 0.020] [G loss: 0.005]  0:05:36.847726
1761 [D loss: -0.010 R -0.033 F 0.013] [G loss: 0.015]  0:05:37.303231
1762 [D loss: -0.014 R -0.033 F 0.005] [G loss: 0.014]  0:05:37.768043
1763 [D loss: -0.020 R -0.044 F 0.003] [G loss: 0.009]  0:05:38.227824
1764 [D loss: -0.010 R -0.041 F 0.021] [G loss: 0.004]  0:05:38.671827
1765 [D loss: -0.008 R -0.038 F 0.023] [G loss: 0.003]  0:05:39.146472
1766 [D loss: -0.014 R -0.037 F 0.008] [G loss: 0.013]  0:05:39.605944
1767 [D loss: -0.019 R -0.030 F -0.007] [G loss: 0.016]  0:05:40.022513
1768 [D loss: -0.023 R -0.045 F -0.002] [G loss: 0.013]  0:05:40.455351
1769 [D loss: -0.009 R -0.045 F 0.027] [G loss: -0.000]  0:05:40.872277
1770 [D loss: -0.014 R -0.048 F 0.020] [G loss: 0.002]  0:05:41.334983
1771 [D loss: -0.015 R -0.052 F 0.022] [G loss: -0.003]  0:05:41.769451
1772 [D loss: -0.016 R -0.049 F 0.017] [G loss: 0.007]  0:05:42.215827
1773 [D loss: -0.017 R -0.047 F 0.013] [G loss: -0.005]  0:05:42.659644
1774 [D loss: -0.012 R -0.044 F 0.020] [G loss: 0.006]  0:05:43.095223
1775 [D loss: -0.021 R -0.052 F 0.009] [G loss: 0.013]  0:05:43.509209
1776 [D loss: -0.016 R -0.050 F 0.018] [G loss: 0.004]  0:05:43.961777
1777 [D loss: -0.015 R -0.049 F 0.019] [G loss: -0.009]  0:05:44.422172
1778 [D loss: -0.017 R -0.060 F 0.026] [G loss: -0.015]  0:05:44.875515
1779 [D loss: -0.012 R -0.062 F 0.037] [G loss: -0.017]  0:05:45.316970
1780 [D loss: -0.017 R -0.067 F 0.032] [G loss: -0.017]  0:05:45.776730
1781 [D loss: -0.014 R -0.065 F 0.036] [G loss: -0.015]  0:05:46.208282
1782 [D loss: -0.023 R -0.071 F 0.025] [G loss: -0.013]  0:05:46.653770
1783 [D loss: -0.009 R -0.061 F 0.044] [G loss: -0.018]  0:05:47.095591
1784 [D loss: -0.013 R -0.064 F 0.038] [G loss: -0.018]  0:05:47.547351
1785 [D loss: -0.016 R -0.062 F 0.030] [G loss: -0.010]  0:05:47.993183
1786 [D loss: -0.019 R -0.059 F 0.021] [G loss: -0.007]  0:05:48.420933
1787 [D loss: -0.023 R -0.054 F 0.008] [G loss: -0.005]  0:05:48.836873
1788 [D loss: -0.000 R -0.043 F 0.043] [G loss: -0.005]  0:05:49.282492
1789 [D loss: -0.014 R -0.036 F 0.007] [G loss: 0.015]  0:05:49.760001
1790 [D loss: -0.038 R -0.049 F -0.027] [G loss: 0.015]  0:05:50.208129
1791 [D loss: -0.012 R -0.035 F 0.012] [G loss: 0.005]  0:05:50.660424
1792 [D loss: -0.007 R -0.046 F 0.031] [G loss: 0.004]  0:05:51.134944
1793 [D loss: -0.015 R -0.048 F 0.018] [G loss: 0.003]  0:05:51.576253
1794 [D loss: -0.016 R -0.044 F 0.012] [G loss: 0.005]  0:05:51.995930
1795 [D loss: -0.014 R -0.042 F 0.015] [G loss: 0.003]  0:05:52.440371
1796 [D loss: -0.016 R -0.036 F 0.004] [G loss: 0.006]  0:05:52.888481
1797 [D loss: -0.009 R -0.038 F 0.019] [G loss: 0.002]  0:05:53.316546
1798 [D loss: -0.019 R -0.038 F 0.001] [G loss: 0.003]  0:05:53.765240
1799 [D loss: -0.025 R -0.038 F -0.011] [G loss: 0.016]  0:05:54.204207
1800 [D loss: -0.004 R -0.023 F 0.014] [G loss: 0.008]  0:05:54.647840
1801 [D loss: -0.021 R -0.042 F -0.000] [G loss: 0.011]  0:05:55.088637
1802 [D loss: -0.011 R -0.038 F 0.016] [G loss: 0.007]  0:05:55.526919
1803 [D loss: -0.012 R -0.041 F 0.016] [G loss: 0.001]  0:05:55.982965
1804 [D loss: -0.026 R -0.045 F -0.007] [G loss: -0.000]  0:05:56.414787
1805 [D loss: -0.015 R -0.048 F 0.018] [G loss: 0.002]  0:05:56.848483
1806 [D loss: -0.010 R -0.039 F 0.019] [G loss: 0.014]  0:05:57.295688
1807 [D loss: -0.018 R -0.031 F -0.006] [G loss: 0.012]  0:05:57.728086
1808 [D loss: -0.009 R -0.043 F 0.026] [G loss: -0.004]  0:05:58.174043
1809 [D loss: -0.016 R -0.048 F 0.016] [G loss: 0.002]  0:05:58.614275
1810 [D loss: -0.020 R -0.056 F 0.016] [G loss: -0.004]  0:05:59.064963
1811 [D loss: -0.010 R -0.051 F 0.031] [G loss: -0.002]  0:05:59.484209
1812 [D loss: -0.008 R -0.040 F 0.024] [G loss: 0.001]  0:05:59.934878
1813 [D loss: -0.017 R -0.046 F 0.013] [G loss: 0.004]  0:06:00.425257
1814 [D loss: -0.018 R -0.053 F 0.016] [G loss: -0.002]  0:06:00.903444
1815 [D loss: -0.015 R -0.045 F 0.014] [G loss: 0.006]  0:06:01.323400
1816 [D loss: -0.026 R -0.049 F -0.004] [G loss: 0.017]  0:06:01.762570
1817 [D loss: -0.016 R -0.041 F 0.009] [G loss: 0.015]  0:06:02.211901
1818 [D loss: -0.017 R -0.049 F 0.016] [G loss: -0.003]  0:06:02.671823
1819 [D loss: -0.012 R -0.046 F 0.022] [G loss: -0.014]  0:06:03.121293
1820 [D loss: -0.011 R -0.058 F 0.036] [G loss: -0.012]  0:06:03.560750
1821 [D loss: -0.013 R -0.058 F 0.031] [G loss: -0.003]  0:06:03.990762
1822 [D loss: -0.021 R -0.062 F 0.021] [G loss: -0.001]  0:06:04.436017
1823 [D loss: -0.018 R -0.064 F 0.028] [G loss: -0.013]  0:06:04.872094
1824 [D loss: -0.012 R -0.050 F 0.026] [G loss: -0.015]  0:06:05.311012
1825 [D loss: -0.013 R -0.057 F 0.031] [G loss: -0.019]  0:06:05.758519
1826 [D loss: -0.014 R -0.055 F 0.027] [G loss: -0.003]  0:06:06.204778
1827 [D loss: -0.013 R -0.055 F 0.029] [G loss: -0.006]  0:06:06.653566
1828 [D loss: -0.013 R -0.054 F 0.027] [G loss: -0.003]  0:06:07.073079
1829 [D loss: -0.010 R -0.044 F 0.025] [G loss: -0.004]  0:06:07.529397
1830 [D loss: -0.018 R -0.059 F 0.022] [G loss: -0.008]  0:06:07.949939
1831 [D loss: -0.017 R -0.042 F 0.008] [G loss: -0.005]  0:06:08.410388
1832 [D loss: -0.006 R -0.037 F 0.025] [G loss: 0.005]  0:06:08.845099
1833 [D loss: -0.023 R -0.042 F -0.005] [G loss: 0.008]  0:06:09.283594
1834 [D loss: -0.034 R -0.040 F -0.027] [G loss: 0.014]  0:06:09.720942
1835 [D loss: -0.013 R -0.044 F 0.017] [G loss: 0.008]  0:06:10.167604
1836 [D loss: -0.008 R -0.027 F 0.011] [G loss: 0.012]  0:06:10.627534
1837 [D loss: -0.010 R -0.027 F 0.006] [G loss: 0.011]  0:06:11.062333
1838 [D loss: -0.018 R -0.037 F 0.001] [G loss: 0.018]  0:06:11.502908
1839 [D loss: -0.013 R -0.027 F 0.002] [G loss: 0.029]  0:06:11.953701
1840 [D loss: -0.012 R -0.026 F 0.001] [G loss: 0.025]  0:06:12.379265
1841 [D loss: -0.017 R -0.030 F -0.005] [G loss: 0.023]  0:06:12.815728
1842 [D loss: -0.007 R -0.017 F 0.003] [G loss: 0.023]  0:06:13.264258
1843 [D loss: -0.010 R -0.026 F 0.006] [G loss: 0.015]  0:06:13.713694
1844 [D loss: -0.012 R -0.021 F -0.003] [G loss: 0.015]  0:06:14.135263
1845 [D loss: -0.009 R -0.027 F 0.008] [G loss: 0.015]  0:06:14.583192
1846 [D loss: -0.019 R -0.036 F -0.001] [G loss: 0.011]  0:06:15.044036
1847 [D loss: -0.023 R -0.050 F 0.004] [G loss: 0.002]  0:06:15.500447
1848 [D loss: -0.019 R -0.061 F 0.022] [G loss: -0.005]  0:06:15.938143
1849 [D loss: -0.009 R -0.051 F 0.032] [G loss: -0.005]  0:06:16.382351
1850 [D loss: -0.014 R -0.051 F 0.024] [G loss: -0.002]  0:06:16.812220
1851 [D loss: -0.014 R -0.056 F 0.028] [G loss: -0.012]  0:06:17.276005
1852 [D loss: -0.013 R -0.053 F 0.027] [G loss: -0.000]  0:06:17.712855
1853 [D loss: -0.017 R -0.056 F 0.023] [G loss: -0.004]  0:06:18.132144
1854 [D loss: -0.017 R -0.055 F 0.021] [G loss: -0.013]  0:06:18.549155
1855 [D loss: -0.022 R -0.053 F 0.008] [G loss: -0.021]  0:06:19.001849
1856 [D loss: -0.018 R -0.057 F 0.021] [G loss: -0.019]  0:06:19.426379
1857 [D loss: -0.018 R -0.059 F 0.024] [G loss: -0.002]  0:06:19.862414
1858 [D loss: -0.016 R -0.056 F 0.025] [G loss: -0.003]  0:06:20.297173
1859 [D loss: -0.012 R -0.052 F 0.027] [G loss: -0.012]  0:06:20.776381
1860 [D loss: -0.021 R -0.063 F 0.021] [G loss: -0.002]  0:06:21.211527
1861 [D loss: -0.018 R -0.063 F 0.026] [G loss: -0.007]  0:06:21.648164
1862 [D loss: -0.026 R -0.064 F 0.011] [G loss: -0.009]  0:06:22.125748
1863 [D loss: -0.021 R -0.054 F 0.013] [G loss: -0.005]  0:06:22.571186
1864 [D loss: -0.001 R -0.036 F 0.034] [G loss: -0.012]  0:06:23.008578
1865 [D loss: -0.006 R -0.047 F 0.034] [G loss: -0.003]  0:06:23.454213
1866 [D loss: -0.018 R -0.041 F 0.006] [G loss: 0.008]  0:06:23.876932
1867 [D loss: -0.011 R -0.032 F 0.010] [G loss: 0.003]  0:06:24.326888
1868 [D loss: -0.014 R -0.030 F 0.002] [G loss: 0.014]  0:06:24.778909
1869 [D loss: -0.010 R -0.020 F 0.001] [G loss: 0.022]  0:06:25.235066
1870 [D loss: -0.013 R -0.029 F 0.003] [G loss: 0.021]  0:06:25.658577
1871 [D loss: -0.015 R -0.030 F 0.000] [G loss: 0.019]  0:06:26.108253
1872 [D loss: -0.007 R -0.017 F 0.004] [G loss: 0.020]  0:06:26.564956
1873 [D loss: -0.016 R -0.029 F -0.003] [G loss: 0.011]  0:06:27.012344
1874 [D loss: -0.028 R -0.044 F -0.011] [G loss: 0.016]  0:06:27.457089
1875 [D loss: -0.011 R -0.030 F 0.008] [G loss: 0.014]  0:06:27.899683
1876 [D loss: -0.009 R -0.035 F 0.016] [G loss: 0.012]  0:06:28.347212
1877 [D loss: -0.011 R -0.040 F 0.017] [G loss: -0.000]  0:06:28.782464
1878 [D loss: -0.011 R -0.046 F 0.024] [G loss: -0.007]  0:06:29.208895
1879 [D loss: -0.011 R -0.050 F 0.028] [G loss: -0.013]  0:06:29.659961
1880 [D loss: -0.011 R -0.054 F 0.032] [G loss: -0.010]  0:06:30.093183
1881 [D loss: -0.021 R -0.074 F 0.031] [G loss: -0.018]  0:06:30.556292
1882 [D loss: -0.013 R -0.068 F 0.043] [G loss: -0.031]  0:06:31.011479
1883 [D loss: -0.018 R -0.080 F 0.045] [G loss: -0.029]  0:06:31.477167
1884 [D loss: -0.014 R -0.082 F 0.053] [G loss: -0.034]  0:06:31.916012
1885 [D loss: -0.011 R -0.069 F 0.047] [G loss: -0.036]  0:06:32.367956
1886 [D loss: -0.018 R -0.079 F 0.042] [G loss: -0.027]  0:06:32.808520
1887 [D loss: -0.010 R -0.068 F 0.049] [G loss: -0.025]  0:06:33.256322
1888 [D loss: -0.010 R -0.060 F 0.040] [G loss: -0.020]  0:06:33.686214
1889 [D loss: -0.014 R -0.073 F 0.046] [G loss: -0.020]  0:06:34.121449
1890 [D loss: -0.021 R -0.073 F 0.030] [G loss: -0.023]  0:06:34.564214
1891 [D loss: -0.015 R -0.063 F 0.033] [G loss: -0.017]  0:06:34.981068
1892 [D loss: -0.010 R -0.053 F 0.033] [G loss: -0.006]  0:06:35.424647
1893 [D loss: -0.006 R -0.052 F 0.039] [G loss: -0.004]  0:06:35.854743
1894 [D loss: -0.010 R -0.037 F 0.017] [G loss: 0.013]  0:06:36.299363
1895 [D loss: -0.017 R -0.030 F -0.003] [G loss: 0.022]  0:06:36.757116
1896 [D loss: -0.012 R -0.015 F -0.008] [G loss: 0.025]  0:06:37.206961
1897 [D loss: -0.011 R -0.014 F -0.008] [G loss: 0.034]  0:06:37.651953
1898 [D loss: -0.016 R -0.019 F -0.012] [G loss: 0.030]  0:06:38.110517
1899 [D loss: -0.011 R -0.016 F -0.007] [G loss: 0.029]  0:06:38.546445
1900 [D loss: -0.015 R -0.019 F -0.011] [G loss: 0.028]  0:06:38.976764
1901 [D loss: -0.019 R -0.018 F -0.021] [G loss: 0.021]  0:06:39.413649
1902 [D loss: -0.023 R -0.029 F -0.016] [G loss: 0.013]  0:06:39.886460
1903 [D loss: -0.015 R -0.036 F 0.007] [G loss: 0.012]  0:06:40.329971
1904 [D loss: -0.009 R -0.025 F 0.008] [G loss: 0.018]  0:06:41.027711
1905 [D loss: -0.015 R -0.032 F 0.002] [G loss: 0.015]  0:06:41.464628
1906 [D loss: -0.016 R -0.034 F 0.002] [G loss: 0.014]  0:06:41.901823
1907 [D loss: -0.018 R -0.040 F 0.004] [G loss: 0.016]  0:06:42.324557
1908 [D loss: -0.012 R -0.033 F 0.010] [G loss: 0.007]  0:06:42.752113
1909 [D loss: -0.010 R -0.044 F 0.024] [G loss: -0.005]  0:06:43.181060
1910 [D loss: -0.014 R -0.049 F 0.022] [G loss: -0.002]  0:06:43.625471
1911 [D loss: -0.023 R -0.054 F 0.008] [G loss: -0.004]  0:06:44.053419
1912 [D loss: -0.006 R -0.045 F 0.033] [G loss: -0.006]  0:06:44.472140
1913 [D loss: -0.007 R -0.042 F 0.028] [G loss: -0.011]  0:06:44.902017
1914 [D loss: -0.011 R -0.048 F 0.026] [G loss: 0.001]  0:06:45.335303
1915 [D loss: -0.008 R -0.038 F 0.022] [G loss: -0.003]  0:06:45.770632
1916 [D loss: -0.021 R -0.060 F 0.019] [G loss: -0.001]  0:06:46.206502
1917 [D loss: -0.018 R -0.047 F 0.011] [G loss: -0.006]  0:06:46.651085
1918 [D loss: -0.017 R -0.052 F 0.018] [G loss: -0.004]  0:06:47.083896
1919 [D loss: -0.017 R -0.047 F 0.013] [G loss: 0.001]  0:06:47.524838
1920 [D loss: -0.011 R -0.039 F 0.018] [G loss: -0.006]  0:06:47.961764
1921 [D loss: -0.017 R -0.048 F 0.014] [G loss: 0.004]  0:06:48.382453
1922 [D loss: -0.023 R -0.047 F 0.001] [G loss: 0.007]  0:06:48.813496
1923 [D loss: -0.014 R -0.050 F 0.022] [G loss: -0.005]  0:06:49.234230
1924 [D loss: -0.013 R -0.050 F 0.024] [G loss: -0.003]  0:06:49.665373
1925 [D loss: -0.014 R -0.048 F 0.020] [G loss: -0.015]  0:06:50.117637
1926 [D loss: -0.005 R -0.040 F 0.031] [G loss: -0.013]  0:06:50.541902
1927 [D loss: -0.017 R -0.048 F 0.014] [G loss: 0.011]  0:06:50.984131
1928 [D loss: -0.017 R -0.041 F 0.006] [G loss: 0.023]  0:06:51.403614
1929 [D loss: -0.026 R -0.043 F -0.008] [G loss: 0.017]  0:06:51.853015
1930 [D loss: -0.014 R -0.050 F 0.022] [G loss: -0.001]  0:06:52.291999
1931 [D loss: -0.020 R -0.058 F 0.019] [G loss: 0.008]  0:06:52.760456
1932 [D loss: -0.017 R -0.052 F 0.019] [G loss: 0.001]  0:06:53.187776
1933 [D loss: -0.021 R -0.038 F -0.003] [G loss: -0.008]  0:06:53.627080
1934 [D loss: -0.026 R -0.031 F -0.021] [G loss: 0.001]  0:06:54.061316
1935 [D loss: -0.017 R -0.041 F 0.008] [G loss: -0.008]  0:06:54.495516
1936 [D loss: -0.003 R -0.047 F 0.040] [G loss: -0.012]  0:06:54.933222
1937 [D loss: -0.010 R -0.065 F 0.046] [G loss: -0.011]  0:06:55.367875
1938 [D loss: -0.017 R -0.064 F 0.030] [G loss: -0.010]  0:06:55.799328
1939 [D loss: -0.014 R -0.067 F 0.038] [G loss: -0.017]  0:06:56.242519
1940 [D loss: -0.008 R -0.057 F 0.041] [G loss: -0.018]  0:06:56.682662
1941 [D loss: -0.011 R -0.057 F 0.035] [G loss: -0.021]  0:06:57.132417
1942 [D loss: -0.007 R -0.052 F 0.038] [G loss: -0.009]  0:06:57.569578
1943 [D loss: -0.014 R -0.053 F 0.024] [G loss: -0.001]  0:06:58.024502
1944 [D loss: -0.014 R -0.061 F 0.033] [G loss: -0.006]  0:06:58.460327
1945 [D loss: -0.014 R -0.058 F 0.031] [G loss: -0.009]  0:06:58.886860
1946 [D loss: -0.010 R -0.051 F 0.030] [G loss: -0.004]  0:06:59.313482
1947 [D loss: -0.008 R -0.044 F 0.028] [G loss: -0.007]  0:06:59.740004
1948 [D loss: -0.014 R -0.045 F 0.017] [G loss: -0.002]  0:07:00.198151
1949 [D loss: -0.017 R -0.040 F 0.007] [G loss: 0.016]  0:07:00.627372
1950 [D loss: -0.012 R -0.037 F 0.012] [G loss: 0.010]  0:07:01.063358
1951 [D loss: -0.009 R -0.037 F 0.019] [G loss: 0.002]  0:07:01.513815
1952 [D loss: -0.012 R -0.027 F 0.004] [G loss: 0.002]  0:07:01.961243
1953 [D loss: -0.014 R -0.042 F 0.014] [G loss: 0.014]  0:07:02.398230
1954 [D loss: -0.015 R -0.033 F 0.002] [G loss: 0.008]  0:07:02.824988
1955 [D loss: -0.015 R -0.032 F 0.002] [G loss: 0.023]  0:07:03.259336
1956 [D loss: -0.012 R -0.020 F -0.003] [G loss: 0.015]  0:07:03.666460
1957 [D loss: -0.022 R -0.032 F -0.013] [G loss: 0.011]  0:07:04.101063
1958 [D loss: -0.010 R -0.043 F 0.022] [G loss: -0.004]  0:07:04.532547
1959 [D loss: -0.015 R -0.056 F 0.027] [G loss: -0.005]  0:07:04.992549
1960 [D loss: -0.014 R -0.054 F 0.027] [G loss: -0.014]  0:07:05.425388
1961 [D loss: -0.012 R -0.060 F 0.036] [G loss: -0.016]  0:07:05.860245
1962 [D loss: -0.014 R -0.049 F 0.021] [G loss: -0.010]  0:07:06.295003
1963 [D loss: -0.018 R -0.058 F 0.023] [G loss: -0.000]  0:07:06.708530
1964 [D loss: -0.017 R -0.053 F 0.018] [G loss: -0.002]  0:07:07.156414
1965 [D loss: -0.009 R -0.052 F 0.034] [G loss: -0.012]  0:07:07.583401
1966 [D loss: -0.018 R -0.063 F 0.027] [G loss: -0.007]  0:07:08.023681
1967 [D loss: -0.030 R -0.044 F -0.015] [G loss: 0.001]  0:07:08.475314
1968 [D loss: -0.024 R -0.047 F -0.001] [G loss: -0.001]  0:07:08.905562
1969 [D loss: -0.005 R -0.030 F 0.020] [G loss: -0.005]  0:07:09.346092
1970 [D loss: 0.004 R -0.028 F 0.036] [G loss: 0.001]  0:07:09.782475
1971 [D loss: -0.009 R -0.034 F 0.015] [G loss: 0.005]  0:07:10.239076
1972 [D loss: -0.007 R -0.025 F 0.010] [G loss: 0.009]  0:07:10.677618
1973 [D loss: -0.014 R -0.030 F 0.003] [G loss: 0.016]  0:07:11.116758
1974 [D loss: -0.017 R -0.036 F 0.002] [G loss: 0.021]  0:07:11.574100
1975 [D loss: -0.022 R -0.029 F -0.016] [G loss: 0.021]  0:07:12.006236
1976 [D loss: -0.012 R -0.025 F -0.000] [G loss: 0.020]  0:07:12.443768
1977 [D loss: -0.022 R -0.022 F -0.023] [G loss: 0.031]  0:07:12.881243
1978 [D loss: -0.015 R -0.025 F -0.005] [G loss: 0.027]  0:07:13.327372
1979 [D loss: -0.006 R -0.022 F 0.010] [G loss: 0.011]  0:07:13.765456
1980 [D loss: -0.014 R -0.031 F 0.004] [G loss: 0.015]  0:07:14.215280
1981 [D loss: -0.008 R -0.023 F 0.008] [G loss: 0.015]  0:07:14.640445
1982 [D loss: -0.014 R -0.035 F 0.008] [G loss: 0.015]  0:07:15.077065
1983 [D loss: -0.014 R -0.038 F 0.010] [G loss: 0.009]  0:07:15.526424
1984 [D loss: -0.008 R -0.036 F 0.020] [G loss: 0.005]  0:07:15.960732
1985 [D loss: -0.011 R -0.043 F 0.021] [G loss: -0.001]  0:07:16.397105
1986 [D loss: -0.013 R -0.052 F 0.025] [G loss: -0.006]  0:07:16.850065
1987 [D loss: -0.015 R -0.059 F 0.028] [G loss: -0.012]  0:07:17.282216
1988 [D loss: -0.017 R -0.058 F 0.024] [G loss: -0.011]  0:07:17.732176
1989 [D loss: -0.016 R -0.058 F 0.026] [G loss: -0.017]  0:07:18.163071
1990 [D loss: -0.013 R -0.058 F 0.032] [G loss: -0.021]  0:07:18.623629
1991 [D loss: -0.003 R -0.054 F 0.048] [G loss: -0.026]  0:07:19.046598
1992 [D loss: -0.014 R -0.063 F 0.035] [G loss: -0.024]  0:07:19.498268
1993 [D loss: -0.010 R -0.051 F 0.032] [G loss: -0.023]  0:07:19.939778
1994 [D loss: -0.016 R -0.069 F 0.037] [G loss: -0.014]  0:07:20.385478
1995 [D loss: -0.016 R -0.058 F 0.026] [G loss: -0.006]  0:07:20.823971
1996 [D loss: -0.016 R -0.051 F 0.019] [G loss: 0.005]  0:07:21.275781
1997 [D loss: -0.014 R -0.048 F 0.019] [G loss: 0.001]  0:07:21.718925
1998 [D loss: -0.027 R -0.044 F -0.010] [G loss: 0.018]  0:07:22.161705
1999 [D loss: -0.023 R -0.042 F -0.004] [G loss: 0.015]  0:07:22.588869
2000 [D loss: -0.010 R -0.033 F 0.013] [G loss: 0.006]  0:07:23.003454
2001 [D loss: -0.026 R -0.032 F -0.020] [G loss: 0.008]  0:07:24.408285
2002 [D loss: -0.025 R -0.034 F -0.016] [G loss: 0.019]  0:07:24.848159
2003 [D loss: -0.002 R -0.019 F 0.014] [G loss: 0.009]  0:07:25.279929
2004 [D loss: -0.025 R -0.032 F -0.019] [G loss: 0.029]  0:07:25.717379
2005 [D loss: -0.030 R -0.035 F -0.025] [G loss: 0.027]  0:07:26.133394
2006 [D loss: -0.008 R -0.031 F 0.016] [G loss: 0.014]  0:07:26.552655
2007 [D loss: -0.015 R -0.041 F 0.012] [G loss: 0.003]  0:07:26.968443
2008 [D loss: -0.018 R -0.053 F 0.017] [G loss: -0.004]  0:07:27.389535
2009 [D loss: -0.008 R -0.042 F 0.026] [G loss: -0.009]  0:07:27.818545
2010 [D loss: -0.013 R -0.045 F 0.020] [G loss: 0.003]  0:07:28.256619
2011 [D loss: -0.009 R -0.038 F 0.020] [G loss: 0.007]  0:07:28.673325
2012 [D loss: -0.014 R -0.044 F 0.017] [G loss: -0.002]  0:07:29.220616
2013 [D loss: -0.011 R -0.035 F 0.013] [G loss: -0.004]  0:07:29.653318
2014 [D loss: -0.012 R -0.037 F 0.012] [G loss: 0.002]  0:07:30.130718
2015 [D loss: -0.010 R -0.038 F 0.017] [G loss: 0.005]  0:07:30.578362
2016 [D loss: -0.015 R -0.042 F 0.013] [G loss: 0.008]  0:07:31.041480
2017 [D loss: -0.014 R -0.049 F 0.021] [G loss: 0.005]  0:07:31.510755
2018 [D loss: -0.006 R -0.028 F 0.016] [G loss: 0.003]  0:07:31.936922
2019 [D loss: -0.010 R -0.038 F 0.018] [G loss: 0.002]  0:07:32.401942
2020 [D loss: -0.017 R -0.037 F 0.003] [G loss: 0.011]  0:07:32.856030
2021 [D loss: -0.019 R -0.040 F 0.002] [G loss: 0.010]  0:07:33.301574
2022 [D loss: -0.010 R -0.036 F 0.016] [G loss: 0.002]  0:07:33.784123
2023 [D loss: -0.014 R -0.049 F 0.022] [G loss: -0.008]  0:07:34.234878
2024 [D loss: -0.016 R -0.058 F 0.026] [G loss: -0.010]  0:07:34.662943
2025 [D loss: -0.015 R -0.067 F 0.037] [G loss: -0.022]  0:07:35.107091
2026 [D loss: -0.010 R -0.063 F 0.043] [G loss: -0.018]  0:07:35.558230
2027 [D loss: -0.010 R -0.055 F 0.035] [G loss: -0.009]  0:07:36.011357
2028 [D loss: -0.020 R -0.058 F 0.019] [G loss: -0.007]  0:07:36.455569
2029 [D loss: -0.013 R -0.048 F 0.022] [G loss: -0.002]  0:07:36.907637
2030 [D loss: -0.014 R -0.052 F 0.024] [G loss: -0.006]  0:07:37.353748
2031 [D loss: -0.010 R -0.043 F 0.023] [G loss: -0.001]  0:07:37.824449
2032 [D loss: -0.021 R -0.053 F 0.011] [G loss: 0.007]  0:07:38.275006
2033 [D loss: -0.010 R -0.050 F 0.030] [G loss: -0.009]  0:07:38.713446
2034 [D loss: -0.023 R -0.049 F 0.003] [G loss: 0.006]  0:07:39.143156
2035 [D loss: -0.016 R -0.050 F 0.019] [G loss: 0.001]  0:07:39.589952
2036 [D loss: -0.014 R -0.044 F 0.015] [G loss: 0.003]  0:07:40.045810
2037 [D loss: -0.013 R -0.040 F 0.014] [G loss: 0.002]  0:07:40.496121
2038 [D loss: -0.010 R -0.032 F 0.011] [G loss: 0.007]  0:07:40.924646
2039 [D loss: -0.007 R -0.035 F 0.021] [G loss: 0.014]  0:07:41.359454
2040 [D loss: -0.013 R -0.030 F 0.005] [G loss: 0.013]  0:07:41.803243
2041 [D loss: -0.013 R -0.034 F 0.008] [G loss: 0.004]  0:07:42.228153
2042 [D loss: -0.015 R -0.038 F 0.009] [G loss: 0.004]  0:07:42.682751
2043 [D loss: -0.008 R -0.035 F 0.019] [G loss: 0.006]  0:07:43.125318
2044 [D loss: -0.016 R -0.043 F 0.011] [G loss: 0.008]  0:07:43.597420
2045 [D loss: -0.011 R -0.040 F 0.017] [G loss: -0.000]  0:07:44.056101
2046 [D loss: -0.012 R -0.047 F 0.022] [G loss: -0.003]  0:07:44.516359
2047 [D loss: -0.016 R -0.052 F 0.020] [G loss: -0.009]  0:07:44.961614
2048 [D loss: -0.013 R -0.052 F 0.026] [G loss: -0.006]  0:07:45.425905
2049 [D loss: -0.010 R -0.049 F 0.028] [G loss: -0.012]  0:07:45.871196
2050 [D loss: -0.013 R -0.054 F 0.028] [G loss: -0.012]  0:07:46.304456
2051 [D loss: -0.014 R -0.049 F 0.021] [G loss: -0.014]  0:07:46.755956
2052 [D loss: -0.005 R -0.048 F 0.039] [G loss: -0.019]  0:07:47.205529
2053 [D loss: -0.009 R -0.046 F 0.029] [G loss: -0.011]  0:07:47.660370
2054 [D loss: -0.014 R -0.047 F 0.018] [G loss: -0.008]  0:07:48.076339
2055 [D loss: -0.012 R -0.042 F 0.017] [G loss: 0.009]  0:07:48.555951
2056 [D loss: -0.014 R -0.039 F 0.011] [G loss: 0.004]  0:07:49.003392
2057 [D loss: -0.018 R -0.041 F 0.004] [G loss: 0.007]  0:07:49.438294
2058 [D loss: -0.015 R -0.036 F 0.006] [G loss: 0.006]  0:07:49.875630
2059 [D loss: -0.011 R -0.040 F 0.019] [G loss: -0.002]  0:07:50.301462
2060 [D loss: -0.012 R -0.039 F 0.014] [G loss: -0.002]  0:07:50.760691
2061 [D loss: -0.009 R -0.034 F 0.016] [G loss: 0.001]  0:07:51.200623
2062 [D loss: -0.020 R -0.045 F 0.005] [G loss: 0.008]  0:07:51.633577
2063 [D loss: -0.010 R -0.028 F 0.009] [G loss: 0.006]  0:07:52.059348
2064 [D loss: -0.008 R -0.026 F 0.010] [G loss: 0.004]  0:07:52.479924
2065 [D loss: -0.005 R -0.032 F 0.023] [G loss: 0.002]  0:07:52.939013
2066 [D loss: -0.018 R -0.038 F 0.002] [G loss: 0.011]  0:07:53.367799
2067 [D loss: -0.022 R -0.039 F -0.004] [G loss: 0.008]  0:07:53.813301
2068 [D loss: -0.008 R -0.038 F 0.022] [G loss: 0.010]  0:07:54.266061
2069 [D loss: -0.008 R -0.033 F 0.016] [G loss: 0.006]  0:07:54.706484
2070 [D loss: -0.006 R -0.032 F 0.020] [G loss: 0.014]  0:07:55.137453
2071 [D loss: -0.012 R -0.036 F 0.013] [G loss: 0.011]  0:07:55.562473
2072 [D loss: -0.009 R -0.031 F 0.013] [G loss: 0.011]  0:07:55.983048
2073 [D loss: -0.014 R -0.032 F 0.004] [G loss: 0.007]  0:07:56.397654
2074 [D loss: -0.015 R -0.045 F 0.015] [G loss: -0.004]  0:07:56.822658
2075 [D loss: -0.006 R -0.031 F 0.018] [G loss: -0.003]  0:07:57.284323
2076 [D loss: -0.010 R -0.040 F 0.019] [G loss: 0.003]  0:07:57.724226
2077 [D loss: -0.012 R -0.036 F 0.012] [G loss: 0.004]  0:07:58.163779
2078 [D loss: -0.014 R -0.037 F 0.010] [G loss: 0.009]  0:07:58.594595
2079 [D loss: -0.015 R -0.044 F 0.015] [G loss: 0.008]  0:07:59.294073
2080 [D loss: -0.017 R -0.039 F 0.006] [G loss: -0.004]  0:07:59.719685
2081 [D loss: -0.012 R -0.046 F 0.022] [G loss: -0.008]  0:08:00.168623
2082 [D loss: -0.014 R -0.049 F 0.021] [G loss: -0.005]  0:08:00.631484
2083 [D loss: -0.014 R -0.053 F 0.025] [G loss: -0.007]  0:08:01.067560
2084 [D loss: -0.018 R -0.055 F 0.018] [G loss: -0.011]  0:08:01.520077
2085 [D loss: -0.021 R -0.058 F 0.016] [G loss: -0.012]  0:08:01.943513
2086 [D loss: -0.010 R -0.060 F 0.041] [G loss: -0.021]  0:08:02.399516
2087 [D loss: -0.009 R -0.051 F 0.034] [G loss: -0.016]  0:08:02.848646
2088 [D loss: -0.019 R -0.060 F 0.022] [G loss: -0.007]  0:08:03.288487
2089 [D loss: -0.014 R -0.059 F 0.031] [G loss: -0.015]  0:08:03.738370
2090 [D loss: -0.013 R -0.055 F 0.028] [G loss: -0.017]  0:08:04.163375
2091 [D loss: -0.014 R -0.055 F 0.027] [G loss: -0.007]  0:08:04.616299
2092 [D loss: -0.010 R -0.044 F 0.024] [G loss: -0.010]  0:08:05.034545
2093 [D loss: -0.023 R -0.056 F 0.010] [G loss: -0.007]  0:08:05.500142
2094 [D loss: -0.019 R -0.049 F 0.010] [G loss: -0.007]  0:08:05.939719
2095 [D loss: -0.006 R -0.038 F 0.027] [G loss: -0.004]  0:08:06.380591
2096 [D loss: -0.007 R -0.033 F 0.019] [G loss: 0.008]  0:08:06.803335
2097 [D loss: -0.020 R -0.023 F -0.018] [G loss: 0.029]  0:08:07.217979
2098 [D loss: -0.021 R -0.036 F -0.006] [G loss: 0.025]  0:08:07.663637
2099 [D loss: -0.013 R -0.020 F -0.005] [G loss: 0.032]  0:08:08.103754
2100 [D loss: -0.008 R -0.008 F -0.008] [G loss: 0.027]  0:08:08.528531
2101 [D loss: -0.021 R -0.034 F -0.007] [G loss: 0.027]  0:08:08.960381
2102 [D loss: -0.019 R -0.028 F -0.010] [G loss: 0.028]  0:08:09.387009
2103 [D loss: -0.016 R -0.029 F -0.004] [G loss: 0.025]  0:08:09.831639
2104 [D loss: -0.029 R -0.025 F -0.032] [G loss: 0.021]  0:08:10.286623
2105 [D loss: -0.011 R -0.018 F -0.003] [G loss: 0.011]  0:08:10.737632
2106 [D loss: -0.002 R -0.022 F 0.018] [G loss: 0.005]  0:08:11.173623
2107 [D loss: -0.017 R -0.054 F 0.020] [G loss: -0.000]  0:08:11.596292
2108 [D loss: -0.012 R -0.032 F 0.007] [G loss: 0.007]  0:08:12.031310
2109 [D loss: -0.007 R -0.034 F 0.020] [G loss: 0.007]  0:08:12.477853
2110 [D loss: -0.020 R -0.036 F -0.004] [G loss: 0.001]  0:08:12.941193
2111 [D loss: -0.012 R -0.038 F 0.013] [G loss: -0.008]  0:08:13.370270
2112 [D loss: -0.014 R -0.048 F 0.019] [G loss: -0.009]  0:08:13.825244
2113 [D loss: -0.016 R -0.062 F 0.031] [G loss: -0.014]  0:08:14.262538
2114 [D loss: -0.023 R -0.073 F 0.028] [G loss: -0.008]  0:08:14.718217
2115 [D loss: -0.016 R -0.062 F 0.030] [G loss: -0.019]  0:08:15.154579
2116 [D loss: -0.006 R -0.052 F 0.041] [G loss: -0.017]  0:08:15.587678
2117 [D loss: -0.013 R -0.068 F 0.043] [G loss: -0.018]  0:08:16.001409
2118 [D loss: -0.014 R -0.066 F 0.038] [G loss: -0.023]  0:08:16.432885
2119 [D loss: -0.023 R -0.051 F 0.005] [G loss: -0.019]  0:08:16.873952
2120 [D loss: -0.020 R -0.058 F 0.017] [G loss: -0.017]  0:08:17.309523
2121 [D loss: -0.018 R -0.052 F 0.016] [G loss: -0.021]  0:08:17.759080
2122 [D loss: -0.013 R -0.048 F 0.022] [G loss: 0.004]  0:08:18.174025
2123 [D loss: -0.016 R -0.047 F 0.014] [G loss: -0.001]  0:08:18.627380
2124 [D loss: -0.010 R -0.045 F 0.024] [G loss: -0.008]  0:08:19.051399
2125 [D loss: -0.013 R -0.054 F 0.028] [G loss: -0.009]  0:08:19.473213
2126 [D loss: -0.014 R -0.047 F 0.018] [G loss: -0.012]  0:08:19.914412
2127 [D loss: -0.003 R -0.042 F 0.036] [G loss: -0.005]  0:08:20.344021
2128 [D loss: -0.013 R -0.050 F 0.025] [G loss: -0.001]  0:08:20.809427
2129 [D loss: -0.019 R -0.045 F 0.007] [G loss: 0.017]  0:08:21.240486
2130 [D loss: -0.010 R -0.025 F 0.006] [G loss: 0.014]  0:08:21.671803
2131 [D loss: -0.014 R -0.032 F 0.004] [G loss: 0.013]  0:08:22.099567
2132 [D loss: -0.022 R -0.044 F -0.001] [G loss: -0.001]  0:08:22.557895
2133 [D loss: -0.014 R -0.036 F 0.008] [G loss: -0.002]  0:08:23.001291
2134 [D loss: -0.011 R -0.040 F 0.018] [G loss: -0.001]  0:08:23.432369
2135 [D loss: -0.016 R -0.053 F 0.021] [G loss: -0.002]  0:08:23.874141
2136 [D loss: -0.010 R -0.038 F 0.019] [G loss: -0.001]  0:08:24.296689
2137 [D loss: -0.013 R -0.038 F 0.012] [G loss: 0.008]  0:08:24.737657
2138 [D loss: -0.027 R -0.051 F -0.002] [G loss: 0.006]  0:08:25.174600
2139 [D loss: -0.011 R -0.039 F 0.018] [G loss: 0.001]  0:08:25.630732
2140 [D loss: -0.012 R -0.040 F 0.016] [G loss: 0.003]  0:08:26.072488
2141 [D loss: -0.010 R -0.044 F 0.024] [G loss: 0.004]  0:08:26.498780
2142 [D loss: -0.015 R -0.043 F 0.012] [G loss: 0.005]  0:08:26.922802
2143 [D loss: -0.013 R -0.042 F 0.016] [G loss: 0.004]  0:08:27.383203
2144 [D loss: -0.013 R -0.045 F 0.018] [G loss: 0.001]  0:08:27.814890
2145 [D loss: -0.006 R -0.030 F 0.017] [G loss: 0.002]  0:08:28.251906
2146 [D loss: -0.009 R -0.027 F 0.008] [G loss: 0.008]  0:08:28.687749
2147 [D loss: -0.019 R -0.030 F -0.008] [G loss: 0.019]  0:08:29.134535
2148 [D loss: -0.012 R -0.022 F -0.001] [G loss: 0.017]  0:08:29.606841
2149 [D loss: -0.013 R -0.023 F -0.003] [G loss: 0.025]  0:08:30.040592
2150 [D loss: -0.016 R -0.017 F -0.015] [G loss: 0.015]  0:08:30.475931
2151 [D loss: -0.009 R -0.019 F 0.001] [G loss: 0.016]  0:08:30.927370
2152 [D loss: -0.009 R -0.020 F 0.002] [G loss: 0.025]  0:08:31.392700
2153 [D loss: -0.017 R -0.032 F -0.003] [G loss: 0.019]  0:08:31.856719
2154 [D loss: -0.014 R -0.020 F -0.009] [G loss: 0.023]  0:08:32.288323
2155 [D loss: -0.018 R -0.031 F -0.004] [G loss: 0.019]  0:08:32.720920
2156 [D loss: -0.027 R -0.025 F -0.029] [G loss: 0.020]  0:08:33.173380
2157 [D loss: -0.024 R -0.027 F -0.020] [G loss: 0.013]  0:08:33.623736
2158 [D loss: -0.012 R -0.037 F 0.012] [G loss: 0.008]  0:08:34.071292
2159 [D loss: -0.014 R -0.036 F 0.008] [G loss: 0.011]  0:08:34.507277
2160 [D loss: -0.018 R -0.045 F 0.008] [G loss: 0.005]  0:08:34.971460
2161 [D loss: -0.010 R -0.044 F 0.023] [G loss: -0.006]  0:08:35.427518
2162 [D loss: -0.012 R -0.042 F 0.018] [G loss: -0.005]  0:08:35.850696
2163 [D loss: -0.017 R -0.055 F 0.022] [G loss: -0.006]  0:08:36.328308
2164 [D loss: -0.012 R -0.061 F 0.038] [G loss: -0.013]  0:08:36.755783
2165 [D loss: -0.009 R -0.066 F 0.049] [G loss: -0.030]  0:08:37.208738
2166 [D loss: -0.013 R -0.070 F 0.044] [G loss: -0.040]  0:08:37.674938
2167 [D loss: -0.011 R -0.074 F 0.051] [G loss: -0.042]  0:08:38.128931
2168 [D loss: -0.005 R -0.074 F 0.063] [G loss: -0.040]  0:08:38.598900
2169 [D loss: -0.009 R -0.072 F 0.055] [G loss: -0.024]  0:08:39.040154
2170 [D loss: -0.016 R -0.070 F 0.037] [G loss: -0.023]  0:08:39.484794
2171 [D loss: -0.021 R -0.069 F 0.027] [G loss: -0.018]  0:08:39.921750
2172 [D loss: -0.016 R -0.055 F 0.023] [G loss: -0.014]  0:08:40.362224
2173 [D loss: -0.010 R -0.058 F 0.038] [G loss: -0.015]  0:08:40.800706
2174 [D loss: -0.017 R -0.050 F 0.017] [G loss: 0.008]  0:08:41.237399
2175 [D loss: -0.021 R -0.050 F 0.008] [G loss: 0.006]  0:08:41.693641
2176 [D loss: -0.007 R -0.032 F 0.018] [G loss: 0.001]  0:08:42.154008
2177 [D loss: -0.009 R -0.038 F 0.020] [G loss: -0.003]  0:08:42.620796
2178 [D loss: -0.007 R -0.022 F 0.007] [G loss: 0.011]  0:08:43.072291
2179 [D loss: -0.031 R -0.037 F -0.024] [G loss: 0.013]  0:08:43.507649
2180 [D loss: -0.018 R -0.026 F -0.010] [G loss: 0.017]  0:08:43.938265
2181 [D loss: -0.006 R -0.018 F 0.006] [G loss: 0.018]  0:08:44.381415
2182 [D loss: -0.021 R -0.030 F -0.013] [G loss: 0.024]  0:08:44.826924
2183 [D loss: -0.021 R -0.032 F -0.010] [G loss: 0.019]  0:08:45.282377
2184 [D loss: -0.017 R -0.021 F -0.013] [G loss: 0.011]  0:08:45.732702
2185 [D loss: -0.007 R -0.030 F 0.015] [G loss: -0.001]  0:08:46.167237
2186 [D loss: -0.027 R -0.053 F -0.000] [G loss: -0.005]  0:08:46.594635
2187 [D loss: -0.002 R -0.025 F 0.021] [G loss: -0.002]  0:08:47.038973
2188 [D loss: -0.008 R -0.025 F 0.010] [G loss: 0.012]  0:08:47.467352
2189 [D loss: -0.017 R -0.034 F -0.000] [G loss: 0.031]  0:08:47.918314
2190 [D loss: -0.017 R -0.033 F -0.002] [G loss: 0.020]  0:08:48.365220
2191 [D loss: -0.001 R -0.029 F 0.026] [G loss: 0.005]  0:08:48.816374
2192 [D loss: -0.009 R -0.030 F 0.011] [G loss: -0.004]  0:08:49.266696
2193 [D loss: -0.011 R -0.036 F 0.015] [G loss: 0.000]  0:08:49.696318
2194 [D loss: -0.013 R -0.038 F 0.012] [G loss: 0.006]  0:08:50.113535
2195 [D loss: -0.018 R -0.045 F 0.009] [G loss: 0.008]  0:08:50.553168
2196 [D loss: -0.014 R -0.032 F 0.004] [G loss: 0.019]  0:08:51.012863
2197 [D loss: -0.011 R -0.030 F 0.008] [G loss: 0.016]  0:08:51.455316
2198 [D loss: -0.009 R -0.026 F 0.007] [G loss: 0.014]  0:08:51.884681
2199 [D loss: -0.005 R -0.024 F 0.014] [G loss: 0.013]  0:08:52.316614
2200 [D loss: -0.012 R -0.032 F 0.007] [G loss: 0.010]  0:08:52.759508
2201 [D loss: -0.017 R -0.038 F 0.003] [G loss: 0.014]  0:08:53.202685
2202 [D loss: -0.014 R -0.040 F 0.012] [G loss: 0.002]  0:08:53.632977
2203 [D loss: -0.014 R -0.043 F 0.016] [G loss: 0.001]  0:08:54.084402
2204 [D loss: -0.011 R -0.045 F 0.022] [G loss: -0.010]  0:08:54.539088
2205 [D loss: -0.010 R -0.043 F 0.022] [G loss: -0.014]  0:08:54.978423
2206 [D loss: -0.012 R -0.045 F 0.021] [G loss: -0.018]  0:08:55.422081
2207 [D loss: -0.012 R -0.058 F 0.034] [G loss: -0.011]  0:08:55.851305
2208 [D loss: -0.014 R -0.047 F 0.020] [G loss: -0.012]  0:08:56.277398
2209 [D loss: -0.014 R -0.040 F 0.012] [G loss: -0.005]  0:08:56.723475
2210 [D loss: -0.015 R -0.030 F -0.000] [G loss: 0.007]  0:08:57.164076
2211 [D loss: -0.017 R -0.047 F 0.013] [G loss: 0.006]  0:08:57.619616
2212 [D loss: -0.010 R -0.043 F 0.024] [G loss: 0.001]  0:08:58.062918
2213 [D loss: -0.016 R -0.046 F 0.015] [G loss: 0.001]  0:08:58.498191
2214 [D loss: -0.013 R -0.041 F 0.016] [G loss: -0.006]  0:08:58.940883
2215 [D loss: -0.009 R -0.033 F 0.015] [G loss: 0.005]  0:08:59.421718
2216 [D loss: -0.012 R -0.037 F 0.012] [G loss: 0.010]  0:08:59.849493
2217 [D loss: -0.020 R -0.035 F -0.004] [G loss: 0.004]  0:09:00.277841
2218 [D loss: -0.017 R -0.034 F 0.001] [G loss: -0.002]  0:09:00.727401
2219 [D loss: -0.012 R -0.043 F 0.019] [G loss: 0.000]  0:09:01.182705
2220 [D loss: -0.013 R -0.038 F 0.012] [G loss: 0.002]  0:09:01.620255
2221 [D loss: -0.010 R -0.029 F 0.008] [G loss: 0.014]  0:09:02.062387
2222 [D loss: -0.011 R -0.031 F 0.008] [G loss: 0.013]  0:09:02.499543
2223 [D loss: -0.011 R -0.023 F 0.001] [G loss: 0.017]  0:09:02.971995
2224 [D loss: -0.012 R -0.024 F 0.001] [G loss: 0.020]  0:09:03.394792
2225 [D loss: -0.013 R -0.025 F -0.000] [G loss: 0.017]  0:09:03.852662
2226 [D loss: -0.007 R -0.017 F 0.002] [G loss: 0.012]  0:09:04.297895
2227 [D loss: -0.023 R -0.032 F -0.013] [G loss: 0.015]  0:09:04.721750
2228 [D loss: -0.016 R -0.034 F 0.002] [G loss: 0.013]  0:09:05.169490
2229 [D loss: -0.009 R -0.036 F 0.019] [G loss: -0.004]  0:09:05.609752
2230 [D loss: -0.014 R -0.049 F 0.021] [G loss: -0.002]  0:09:06.052722
2231 [D loss: -0.013 R -0.046 F 0.021] [G loss: -0.012]  0:09:06.505082
2232 [D loss: -0.008 R -0.046 F 0.029] [G loss: -0.016]  0:09:06.946362
2233 [D loss: -0.006 R -0.045 F 0.032] [G loss: -0.013]  0:09:07.370401
2234 [D loss: -0.014 R -0.056 F 0.028] [G loss: -0.017]  0:09:07.803523
2235 [D loss: -0.013 R -0.058 F 0.032] [G loss: -0.015]  0:09:08.260404
2236 [D loss: -0.015 R -0.064 F 0.034] [G loss: -0.017]  0:09:08.700532
2237 [D loss: -0.014 R -0.063 F 0.035] [G loss: -0.022]  0:09:09.150929
2238 [D loss: -0.008 R -0.058 F 0.042] [G loss: -0.020]  0:09:09.633268
2239 [D loss: -0.020 R -0.053 F 0.013] [G loss: -0.017]  0:09:10.102322
2240 [D loss: -0.005 R -0.044 F 0.035] [G loss: -0.012]  0:09:10.558212
2241 [D loss: -0.015 R -0.042 F 0.011] [G loss: 0.005]  0:09:10.991126
2242 [D loss: -0.023 R -0.040 F -0.006] [G loss: 0.011]  0:09:11.441671
2243 [D loss: -0.014 R -0.025 F -0.003] [G loss: 0.011]  0:09:11.888141
2244 [D loss: -0.011 R -0.018 F -0.003] [G loss: 0.016]  0:09:12.333644
2245 [D loss: -0.008 R -0.020 F 0.003] [G loss: 0.019]  0:09:12.766077
2246 [D loss: -0.004 R -0.009 F 0.002] [G loss: 0.019]  0:09:13.186775
2247 [D loss: -0.015 R -0.025 F -0.006] [G loss: 0.023]  0:09:13.636034
2248 [D loss: -0.015 R -0.032 F 0.001] [G loss: 0.020]  0:09:14.077188
2249 [D loss: -0.015 R -0.030 F -0.000] [G loss: 0.010]  0:09:14.494784
2250 [D loss: -0.014 R -0.032 F 0.004] [G loss: 0.008]  0:09:14.928258
2251 [D loss: -0.018 R -0.023 F -0.013] [G loss: 0.016]  0:09:15.385565
2252 [D loss: -0.024 R -0.035 F -0.013] [G loss: 0.025]  0:09:15.832667
2253 [D loss: -0.014 R -0.023 F -0.006] [G loss: 0.017]  0:09:16.269586
2254 [D loss: -0.010 R -0.030 F 0.010] [G loss: 0.008]  0:09:17.016756
2255 [D loss: -0.016 R -0.032 F -0.000] [G loss: 0.013]  0:09:17.435163
2256 [D loss: -0.018 R -0.043 F 0.008] [G loss: 0.008]  0:09:17.886205
2257 [D loss: -0.016 R -0.046 F 0.013] [G loss: -0.002]  0:09:18.321786
2258 [D loss: -0.017 R -0.061 F 0.028] [G loss: -0.019]  0:09:18.770098
2259 [D loss: -0.012 R -0.053 F 0.030] [G loss: -0.018]  0:09:19.211524
2260 [D loss: -0.012 R -0.050 F 0.026] [G loss: -0.002]  0:09:19.658280
2261 [D loss: -0.019 R -0.051 F 0.013] [G loss: 0.004]  0:09:20.080762
2262 [D loss: -0.007 R -0.033 F 0.019] [G loss: 0.001]  0:09:20.511048
2263 [D loss: -0.007 R -0.036 F 0.022] [G loss: -0.011]  0:09:20.970674
2264 [D loss: -0.008 R -0.039 F 0.024] [G loss: -0.010]  0:09:21.415241
2265 [D loss: -0.015 R -0.048 F 0.018] [G loss: -0.000]  0:09:21.862316
2266 [D loss: -0.013 R -0.043 F 0.017] [G loss: 0.005]  0:09:22.301983
2267 [D loss: -0.016 R -0.048 F 0.016] [G loss: -0.004]  0:09:22.741043
2268 [D loss: -0.014 R -0.049 F 0.022] [G loss: -0.013]  0:09:23.198073
2269 [D loss: -0.006 R -0.048 F 0.035] [G loss: -0.007]  0:09:23.619214
2270 [D loss: -0.011 R -0.046 F 0.023] [G loss: 0.000]  0:09:24.068210
2271 [D loss: -0.015 R -0.034 F 0.005] [G loss: 0.016]  0:09:24.525597
2272 [D loss: -0.017 R -0.034 F 0.000] [G loss: 0.026]  0:09:24.998133
2273 [D loss: -0.011 R -0.027 F 0.006] [G loss: 0.019]  0:09:25.439157
2274 [D loss: -0.015 R -0.030 F 0.001] [G loss: 0.010]  0:09:25.910517
2275 [D loss: -0.008 R -0.030 F 0.013] [G loss: 0.008]  0:09:26.352049
2276 [D loss: -0.007 R -0.026 F 0.012] [G loss: 0.005]  0:09:26.796566
2277 [D loss: -0.014 R -0.028 F -0.001] [G loss: 0.016]  0:09:27.247026
2278 [D loss: -0.008 R -0.026 F 0.010] [G loss: 0.014]  0:09:27.693111
2279 [D loss: -0.010 R -0.028 F 0.008] [G loss: 0.012]  0:09:28.146700
2280 [D loss: -0.013 R -0.029 F 0.003] [G loss: 0.018]  0:09:28.582093
2281 [D loss: -0.015 R -0.035 F 0.006] [G loss: 0.013]  0:09:29.028217
2282 [D loss: -0.013 R -0.036 F 0.010] [G loss: 0.005]  0:09:29.469888
2283 [D loss: -0.015 R -0.034 F 0.003] [G loss: 0.001]  0:09:29.900494
2284 [D loss: -0.008 R -0.037 F 0.022] [G loss: -0.001]  0:09:30.332912
2285 [D loss: -0.008 R -0.032 F 0.015] [G loss: 0.004]  0:09:30.806229
2286 [D loss: -0.012 R -0.038 F 0.013] [G loss: 0.004]  0:09:31.242470
2287 [D loss: -0.013 R -0.035 F 0.008] [G loss: 0.004]  0:09:31.675847
2288 [D loss: -0.013 R -0.037 F 0.012] [G loss: 0.003]  0:09:32.111782
2289 [D loss: -0.012 R -0.037 F 0.013] [G loss: 0.003]  0:09:32.538765
2290 [D loss: -0.016 R -0.041 F 0.009] [G loss: 0.008]  0:09:32.982599
2291 [D loss: -0.017 R -0.043 F 0.008] [G loss: 0.000]  0:09:33.420781
2292 [D loss: -0.025 R -0.042 F -0.008] [G loss: 0.003]  0:09:33.865337
2293 [D loss: -0.008 R -0.044 F 0.027] [G loss: -0.008]  0:09:34.312708
2294 [D loss: -0.012 R -0.037 F 0.012] [G loss: -0.001]  0:09:34.773125
2295 [D loss: -0.019 R -0.045 F 0.006] [G loss: 0.001]  0:09:35.267219
2296 [D loss: -0.020 R -0.040 F -0.001] [G loss: 0.000]  0:09:35.719486
2297 [D loss: -0.009 R -0.035 F 0.016] [G loss: 0.003]  0:09:36.149177
2298 [D loss: -0.011 R -0.031 F 0.009] [G loss: -0.000]  0:09:36.592754
2299 [D loss: -0.023 R -0.042 F -0.004] [G loss: 0.001]  0:09:37.007243
2300 [D loss: -0.011 R -0.047 F 0.026] [G loss: -0.005]  0:09:37.455514
2301 [D loss: -0.007 R -0.036 F 0.021] [G loss: 0.004]  0:09:37.897857
2302 [D loss: -0.014 R -0.046 F 0.018] [G loss: 0.008]  0:09:38.349420
2303 [D loss: -0.014 R -0.043 F 0.014] [G loss: -0.000]  0:09:38.803481
2304 [D loss: -0.007 R -0.032 F 0.019] [G loss: 0.000]  0:09:39.248923
2305 [D loss: -0.011 R -0.028 F 0.006] [G loss: 0.009]  0:09:39.691277
2306 [D loss: -0.015 R -0.033 F 0.002] [G loss: 0.016]  0:09:40.123614
2307 [D loss: -0.016 R -0.043 F 0.011] [G loss: 0.005]  0:09:40.570461
2308 [D loss: -0.021 R -0.035 F -0.007] [G loss: 0.004]  0:09:41.018443
2309 [D loss: -0.024 R -0.032 F -0.015] [G loss: 0.012]  0:09:41.446408
2310 [D loss: -0.005 R -0.020 F 0.011] [G loss: 0.009]  0:09:41.892017
2311 [D loss: -0.006 R -0.030 F 0.017] [G loss: 0.008]  0:09:42.352515
2312 [D loss: -0.006 R -0.026 F 0.013] [G loss: 0.014]  0:09:42.825534
2313 [D loss: -0.016 R -0.034 F 0.003] [G loss: 0.013]  0:09:43.288239
2314 [D loss: -0.017 R -0.029 F -0.005] [G loss: 0.019]  0:09:43.764983
2315 [D loss: -0.012 R -0.027 F 0.003] [G loss: 0.013]  0:09:44.197197
2316 [D loss: -0.010 R -0.026 F 0.005] [G loss: 0.009]  0:09:44.634489
2317 [D loss: -0.011 R -0.028 F 0.006] [G loss: 0.011]  0:09:45.066360
2318 [D loss: -0.011 R -0.035 F 0.012] [G loss: 0.005]  0:09:45.506286
2319 [D loss: -0.010 R -0.033 F 0.013] [G loss: 0.002]  0:09:45.945998
2320 [D loss: -0.011 R -0.046 F 0.025] [G loss: -0.005]  0:09:46.382984
2321 [D loss: -0.009 R -0.046 F 0.029] [G loss: -0.003]  0:09:46.841300
2322 [D loss: -0.013 R -0.053 F 0.028] [G loss: -0.007]  0:09:47.296200
2323 [D loss: -0.013 R -0.060 F 0.033] [G loss: -0.015]  0:09:47.727500
2324 [D loss: -0.017 R -0.064 F 0.030] [G loss: -0.025]  0:09:48.177308
2325 [D loss: -0.011 R -0.061 F 0.040] [G loss: -0.024]  0:09:48.587599
2326 [D loss: -0.012 R -0.063 F 0.039] [G loss: -0.020]  0:09:49.012859
2327 [D loss: -0.016 R -0.059 F 0.027] [G loss: -0.013]  0:09:49.458586
2328 [D loss: -0.018 R -0.055 F 0.019] [G loss: -0.012]  0:09:49.887489
2329 [D loss: -0.019 R -0.047 F 0.010] [G loss: -0.020]  0:09:50.337876
2330 [D loss: -0.012 R -0.053 F 0.030] [G loss: -0.012]  0:09:50.756736
2331 [D loss: -0.006 R -0.058 F 0.046] [G loss: -0.013]  0:09:51.216087
2332 [D loss: -0.009 R -0.051 F 0.034] [G loss: -0.011]  0:09:51.658663
2333 [D loss: -0.024 R -0.061 F 0.013] [G loss: -0.003]  0:09:52.099097
2334 [D loss: -0.009 R -0.044 F 0.026] [G loss: -0.004]  0:09:52.545489
2335 [D loss: -0.013 R -0.044 F 0.019] [G loss: 0.010]  0:09:52.978821
2336 [D loss: -0.026 R -0.041 F -0.011] [G loss: 0.012]  0:09:53.437365
2337 [D loss: -0.009 R -0.027 F 0.010] [G loss: 0.005]  0:09:53.887185
2338 [D loss: -0.012 R -0.025 F 0.000] [G loss: 0.014]  0:09:54.316405
2339 [D loss: -0.012 R -0.026 F 0.001] [G loss: 0.018]  0:09:54.722219
2340 [D loss: -0.012 R -0.021 F -0.002] [G loss: 0.017]  0:09:55.165425
2341 [D loss: -0.012 R -0.021 F -0.003] [G loss: 0.019]  0:09:55.593766
2342 [D loss: -0.011 R -0.022 F 0.000] [G loss: 0.013]  0:09:56.051079
2343 [D loss: -0.013 R -0.015 F -0.011] [G loss: 0.022]  0:09:56.476966
2344 [D loss: -0.022 R -0.026 F -0.017] [G loss: 0.022]  0:09:56.907733
2345 [D loss: -0.017 R -0.026 F -0.008] [G loss: 0.022]  0:09:57.351279
2346 [D loss: -0.005 R -0.015 F 0.005] [G loss: 0.014]  0:09:57.798982
2347 [D loss: -0.016 R -0.032 F 0.000] [G loss: 0.011]  0:09:58.230792
2348 [D loss: -0.016 R -0.028 F -0.003] [G loss: 0.008]  0:09:58.670385
2349 [D loss: -0.013 R -0.035 F 0.008] [G loss: 0.009]  0:09:59.106206
2350 [D loss: -0.006 R -0.032 F 0.020] [G loss: 0.002]  0:09:59.595331
2351 [D loss: -0.016 R -0.046 F 0.015] [G loss: 0.010]  0:10:00.008479
2352 [D loss: -0.021 R -0.045 F 0.004] [G loss: 0.004]  0:10:00.472706
2353 [D loss: -0.006 R -0.025 F 0.013] [G loss: 0.010]  0:10:00.892365
2354 [D loss: -0.015 R -0.029 F -0.001] [G loss: 0.015]  0:10:01.347447
2355 [D loss: -0.006 R -0.024 F 0.012] [G loss: 0.008]  0:10:01.772497
2356 [D loss: -0.013 R -0.033 F 0.007] [G loss: 0.008]  0:10:02.203680
2357 [D loss: -0.009 R -0.034 F 0.016] [G loss: -0.003]  0:10:02.643118
2358 [D loss: -0.009 R -0.043 F 0.024] [G loss: -0.005]  0:10:03.094710
2359 [D loss: -0.015 R -0.054 F 0.025] [G loss: -0.010]  0:10:03.547240
2360 [D loss: -0.009 R -0.052 F 0.033] [G loss: -0.016]  0:10:04.008555
2361 [D loss: -0.004 R -0.058 F 0.049] [G loss: -0.020]  0:10:04.449309
2362 [D loss: -0.007 R -0.049 F 0.035] [G loss: -0.021]  0:10:04.864533
2363 [D loss: -0.011 R -0.058 F 0.036] [G loss: -0.021]  0:10:05.317250
2364 [D loss: -0.011 R -0.056 F 0.034] [G loss: -0.013]  0:10:05.776485
2365 [D loss: -0.006 R -0.049 F 0.036] [G loss: -0.014]  0:10:06.198068
2366 [D loss: -0.010 R -0.053 F 0.032] [G loss: -0.010]  0:10:06.633978
2367 [D loss: -0.011 R -0.054 F 0.033] [G loss: -0.014]  0:10:07.076402
2368 [D loss: -0.009 R -0.050 F 0.033] [G loss: -0.011]  0:10:07.507079
2369 [D loss: -0.018 R -0.059 F 0.023] [G loss: -0.006]  0:10:07.947300
2370 [D loss: -0.016 R -0.046 F 0.014] [G loss: -0.001]  0:10:08.395993
2371 [D loss: -0.015 R -0.030 F -0.001] [G loss: -0.006]  0:10:08.821524
2372 [D loss: -0.015 R -0.040 F 0.010] [G loss: -0.012]  0:10:09.263121
2373 [D loss: -0.015 R -0.050 F 0.020] [G loss: -0.002]  0:10:09.713874
2374 [D loss: -0.004 R -0.027 F 0.019] [G loss: 0.005]  0:10:10.147206
2375 [D loss: -0.007 R -0.023 F 0.009] [G loss: 0.006]  0:10:10.619640
2376 [D loss: -0.013 R -0.024 F -0.002] [G loss: 0.024]  0:10:11.036325
2377 [D loss: -0.013 R -0.019 F -0.008] [G loss: 0.023]  0:10:11.490407
2378 [D loss: -0.007 R -0.012 F -0.002] [G loss: 0.029]  0:10:11.927415
2379 [D loss: -0.016 R -0.022 F -0.010] [G loss: 0.020]  0:10:12.371638
2380 [D loss: -0.008 R -0.019 F 0.003] [G loss: 0.022]  0:10:12.823910
2381 [D loss: -0.015 R -0.015 F -0.015] [G loss: 0.036]  0:10:13.280287
2382 [D loss: -0.017 R -0.023 F -0.012] [G loss: 0.030]  0:10:13.722534
2383 [D loss: -0.024 R -0.033 F -0.016] [G loss: 0.020]  0:10:14.160652
2384 [D loss: -0.015 R -0.013 F -0.018] [G loss: 0.029]  0:10:14.596750
2385 [D loss: -0.014 R -0.010 F -0.017] [G loss: 0.032]  0:10:15.036806
2386 [D loss: -0.012 R -0.013 F -0.010] [G loss: 0.030]  0:10:15.492164
2387 [D loss: -0.015 R -0.020 F -0.011] [G loss: 0.025]  0:10:15.932879
2388 [D loss: -0.010 R -0.025 F 0.005] [G loss: 0.020]  0:10:16.407316
2389 [D loss: -0.016 R -0.028 F -0.004] [G loss: 0.010]  0:10:16.866304
2390 [D loss: -0.017 R -0.037 F 0.003] [G loss: 0.008]  0:10:17.305895
2391 [D loss: -0.013 R -0.037 F 0.011] [G loss: -0.001]  0:10:17.746384
2392 [D loss: -0.005 R -0.039 F 0.029] [G loss: -0.010]  0:10:18.180379
2393 [D loss: -0.012 R -0.051 F 0.027] [G loss: -0.018]  0:10:18.600450
2394 [D loss: -0.017 R -0.055 F 0.022] [G loss: -0.014]  0:10:19.060381
2395 [D loss: -0.015 R -0.059 F 0.030] [G loss: -0.019]  0:10:19.497654
2396 [D loss: -0.011 R -0.055 F 0.033] [G loss: -0.015]  0:10:19.963717
2397 [D loss: -0.014 R -0.055 F 0.028] [G loss: -0.010]  0:10:20.371473
2398 [D loss: -0.011 R -0.055 F 0.032] [G loss: -0.017]  0:10:20.815055
2399 [D loss: -0.011 R -0.048 F 0.026] [G loss: -0.020]  0:10:21.265576
2400 [D loss: -0.010 R -0.049 F 0.029] [G loss: -0.010]  0:10:21.738467
2401 [D loss: -0.014 R -0.044 F 0.016] [G loss: -0.000]  0:10:22.166069
2402 [D loss: -0.014 R -0.034 F 0.006] [G loss: 0.011]  0:10:22.604656
2403 [D loss: -0.022 R -0.026 F -0.018] [G loss: 0.020]  0:10:23.061292
2404 [D loss: -0.018 R -0.035 F -0.002] [G loss: 0.018]  0:10:23.515621
2405 [D loss: -0.011 R -0.027 F 0.005] [G loss: 0.013]  0:10:23.966079
2406 [D loss: -0.012 R -0.028 F 0.003] [G loss: 0.011]  0:10:24.403708
2407 [D loss: -0.009 R -0.024 F 0.005] [G loss: 0.008]  0:10:24.858359
2408 [D loss: -0.014 R -0.023 F -0.004] [G loss: 0.025]  0:10:25.318875
2409 [D loss: -0.014 R -0.021 F -0.008] [G loss: 0.028]  0:10:25.758514
2410 [D loss: -0.014 R -0.021 F -0.008] [G loss: 0.017]  0:10:26.212073
2411 [D loss: -0.004 R -0.024 F 0.016] [G loss: 0.003]  0:10:26.643782
2412 [D loss: -0.010 R -0.032 F 0.012] [G loss: 0.001]  0:10:27.081539
2413 [D loss: -0.012 R -0.039 F 0.015] [G loss: 0.005]  0:10:27.529554
2414 [D loss: -0.019 R -0.042 F 0.004] [G loss: 0.002]  0:10:27.957935
2415 [D loss: -0.015 R -0.039 F 0.008] [G loss: 0.003]  0:10:28.413379
2416 [D loss: -0.013 R -0.052 F 0.026] [G loss: -0.002]  0:10:28.856244
2417 [D loss: -0.018 R -0.038 F 0.002] [G loss: -0.009]  0:10:29.298002
2418 [D loss: -0.004 R -0.023 F 0.014] [G loss: 0.008]  0:10:29.729605
2419 [D loss: -0.008 R -0.038 F 0.022] [G loss: 0.001]  0:10:30.166755
2420 [D loss: -0.016 R -0.044 F 0.012] [G loss: 0.011]  0:10:30.601448
2421 [D loss: -0.020 R -0.037 F -0.004] [G loss: -0.000]  0:10:31.051093
2422 [D loss: -0.010 R -0.047 F 0.028] [G loss: -0.007]  0:10:31.484148
2423 [D loss: -0.021 R -0.061 F 0.019] [G loss: -0.006]  0:10:31.929760
2424 [D loss: -0.030 R -0.063 F 0.002] [G loss: -0.008]  0:10:32.386295
2425 [D loss: -0.008 R -0.039 F 0.023] [G loss: -0.018]  0:10:32.813345
2426 [D loss: -0.010 R -0.047 F 0.027] [G loss: -0.016]  0:10:33.269239
2427 [D loss: -0.012 R -0.051 F 0.028] [G loss: -0.010]  0:10:34.000692
2428 [D loss: -0.010 R -0.039 F 0.019] [G loss: 0.002]  0:10:34.438868
2429 [D loss: -0.009 R -0.033 F 0.015] [G loss: -0.001]  0:10:34.865677
2430 [D loss: -0.008 R -0.031 F 0.014] [G loss: 0.001]  0:10:35.333891
2431 [D loss: -0.014 R -0.043 F 0.016] [G loss: -0.005]  0:10:35.776611
2432 [D loss: -0.013 R -0.043 F 0.016] [G loss: -0.004]  0:10:36.210651
2433 [D loss: -0.008 R -0.037 F 0.021] [G loss: 0.005]  0:10:36.637786
2434 [D loss: -0.012 R -0.039 F 0.014] [G loss: 0.007]  0:10:37.094526
2435 [D loss: -0.014 R -0.039 F 0.010] [G loss: -0.003]  0:10:37.514109
2436 [D loss: -0.013 R -0.040 F 0.013] [G loss: -0.000]  0:10:38.002625
2437 [D loss: -0.019 R -0.049 F 0.011] [G loss: 0.010]  0:10:38.427004
2438 [D loss: -0.022 R -0.048 F 0.003] [G loss: 0.012]  0:10:38.877444
2439 [D loss: -0.022 R -0.040 F -0.004] [G loss: 0.009]  0:10:39.319831
2440 [D loss: -0.010 R -0.043 F 0.023] [G loss: 0.002]  0:10:39.783520
2441 [D loss: -0.009 R -0.035 F 0.018] [G loss: 0.002]  0:10:40.228209
2442 [D loss: -0.014 R -0.042 F 0.014] [G loss: -0.005]  0:10:40.672223
2443 [D loss: -0.014 R -0.039 F 0.012] [G loss: 0.004]  0:10:41.121919
2444 [D loss: -0.014 R -0.043 F 0.015] [G loss: 0.009]  0:10:41.542280
2445 [D loss: -0.011 R -0.044 F 0.022] [G loss: 0.002]  0:10:41.972630
2446 [D loss: -0.014 R -0.039 F 0.010] [G loss: 0.002]  0:10:42.409379
2447 [D loss: -0.008 R -0.033 F 0.016] [G loss: 0.003]  0:10:42.848609
2448 [D loss: -0.012 R -0.032 F 0.008] [G loss: 0.004]  0:10:43.280943
2449 [D loss: -0.013 R -0.029 F 0.002] [G loss: 0.018]  0:10:43.718105
2450 [D loss: -0.012 R -0.029 F 0.005] [G loss: 0.005]  0:10:44.194379
2451 [D loss: -0.016 R -0.026 F -0.006] [G loss: 0.009]  0:10:44.646947
2452 [D loss: -0.011 R -0.027 F 0.005] [G loss: 0.008]  0:10:45.110684
2453 [D loss: -0.010 R -0.026 F 0.006] [G loss: 0.020]  0:10:45.553204
2454 [D loss: -0.012 R -0.023 F -0.002] [G loss: 0.015]  0:10:45.982342
2455 [D loss: -0.017 R -0.026 F -0.007] [G loss: 0.020]  0:10:46.432522
2456 [D loss: -0.016 R -0.030 F -0.002] [G loss: 0.009]  0:10:46.889165
2457 [D loss: -0.004 R -0.019 F 0.012] [G loss: 0.001]  0:10:47.336140
2458 [D loss: -0.013 R -0.035 F 0.009] [G loss: 0.012]  0:10:47.759346
2459 [D loss: -0.016 R -0.033 F 0.001] [G loss: 0.016]  0:10:48.240500
2460 [D loss: -0.018 R -0.039 F 0.004] [G loss: 0.009]  0:10:48.712710
2461 [D loss: -0.018 R -0.051 F 0.015] [G loss: 0.009]  0:10:49.191854
2462 [D loss: -0.016 R -0.039 F 0.006] [G loss: -0.001]  0:10:49.642813
2463 [D loss: -0.012 R -0.050 F 0.026] [G loss: -0.016]  0:10:50.064582
2464 [D loss: -0.003 R -0.042 F 0.037] [G loss: -0.022]  0:10:50.502493
2465 [D loss: -0.010 R -0.056 F 0.036] [G loss: -0.017]  0:10:50.927185
2466 [D loss: -0.011 R -0.052 F 0.029] [G loss: -0.012]  0:10:51.380068
2467 [D loss: -0.017 R -0.059 F 0.026] [G loss: -0.010]  0:10:51.813962
2468 [D loss: -0.010 R -0.045 F 0.026] [G loss: -0.020]  0:10:52.259472
2469 [D loss: -0.011 R -0.054 F 0.033] [G loss: -0.021]  0:10:52.729793
2470 [D loss: -0.011 R -0.054 F 0.032] [G loss: -0.021]  0:10:53.206317
2471 [D loss: -0.011 R -0.052 F 0.031] [G loss: -0.020]  0:10:53.645538
2472 [D loss: -0.009 R -0.054 F 0.036] [G loss: -0.008]  0:10:54.082609
2473 [D loss: -0.014 R -0.053 F 0.025] [G loss: -0.011]  0:10:54.532891
2474 [D loss: -0.008 R -0.047 F 0.031] [G loss: -0.006]  0:10:54.981657
2475 [D loss: -0.018 R -0.049 F 0.012] [G loss: -0.001]  0:10:55.435958
2476 [D loss: -0.011 R -0.035 F 0.014] [G loss: 0.010]  0:10:55.881099
2477 [D loss: -0.027 R -0.034 F -0.019] [G loss: 0.021]  0:10:56.315416
2478 [D loss: -0.021 R -0.042 F 0.000] [G loss: 0.010]  0:10:56.769324
2479 [D loss: -0.005 R -0.038 F 0.027] [G loss: 0.002]  0:10:57.197395
2480 [D loss: -0.015 R -0.042 F 0.013] [G loss: 0.002]  0:10:57.645154
2481 [D loss: -0.019 R -0.041 F 0.004] [G loss: 0.003]  0:10:58.087323
2482 [D loss: -0.003 R -0.024 F 0.018] [G loss: 0.010]  0:10:58.539577
2483 [D loss: -0.010 R -0.028 F 0.008] [G loss: 0.007]  0:10:58.974453
2484 [D loss: -0.014 R -0.027 F -0.001] [G loss: 0.015]  0:10:59.442304
2485 [D loss: -0.011 R -0.021 F -0.001] [G loss: 0.014]  0:10:59.882033
2486 [D loss: -0.006 R -0.019 F 0.007] [G loss: 0.009]  0:11:00.335010
2487 [D loss: -0.009 R -0.020 F 0.003] [G loss: 0.018]  0:11:00.782083
2488 [D loss: -0.014 R -0.024 F -0.004] [G loss: 0.019]  0:11:01.207110
2489 [D loss: -0.012 R -0.008 F -0.015] [G loss: 0.024]  0:11:01.617753
2490 [D loss: -0.010 R -0.016 F -0.003] [G loss: 0.024]  0:11:02.055086
2491 [D loss: -0.014 R -0.028 F -0.000] [G loss: 0.011]  0:11:02.491579
2492 [D loss: -0.014 R -0.037 F 0.008] [G loss: 0.007]  0:11:02.926646
2493 [D loss: -0.011 R -0.032 F 0.010] [G loss: 0.011]  0:11:03.357603
2494 [D loss: -0.006 R -0.039 F 0.028] [G loss: 0.000]  0:11:03.790570
2495 [D loss: -0.015 R -0.044 F 0.014] [G loss: 0.002]  0:11:04.229870
2496 [D loss: -0.016 R -0.052 F 0.020] [G loss: -0.004]  0:11:04.671488
2497 [D loss: -0.020 R -0.058 F 0.018] [G loss: -0.009]  0:11:05.094598
2498 [D loss: -0.017 R -0.058 F 0.024] [G loss: -0.016]  0:11:05.565164
2499 [D loss: -0.008 R -0.044 F 0.029] [G loss: -0.007]  0:11:06.000258
2500 [D loss: -0.017 R -0.053 F 0.019] [G loss: -0.009]  0:11:06.427899
2501 [D loss: -0.017 R -0.053 F 0.019] [G loss: -0.018]  0:11:06.876137
2502 [D loss: -0.010 R -0.049 F 0.029] [G loss: -0.011]  0:11:07.304689
2503 [D loss: -0.009 R -0.052 F 0.034] [G loss: -0.015]  0:11:07.740608
2504 [D loss: -0.023 R -0.037 F -0.009] [G loss: -0.008]  0:11:08.198389
2505 [D loss: -0.017 R -0.037 F 0.003] [G loss: 0.006]  0:11:08.656528
2506 [D loss: -0.010 R -0.044 F 0.025] [G loss: -0.002]  0:11:09.084953
2507 [D loss: -0.011 R -0.034 F 0.013] [G loss: -0.001]  0:11:09.504850
2508 [D loss: -0.016 R -0.037 F 0.005] [G loss: 0.000]  0:11:09.958336
2509 [D loss: -0.021 R -0.047 F 0.004] [G loss: 0.005]  0:11:10.411135
2510 [D loss: -0.018 R -0.041 F 0.005] [G loss: 0.007]  0:11:10.836509
2511 [D loss: -0.016 R -0.040 F 0.009] [G loss: 0.007]  0:11:11.277755
2512 [D loss: -0.005 R -0.032 F 0.022] [G loss: 0.008]  0:11:11.719058
2513 [D loss: -0.011 R -0.046 F 0.024] [G loss: -0.004]  0:11:12.184361
2514 [D loss: -0.005 R -0.031 F 0.021] [G loss: -0.005]  0:11:12.630122
2515 [D loss: -0.019 R -0.049 F 0.012] [G loss: 0.004]  0:11:13.055507
2516 [D loss: -0.010 R -0.043 F 0.023] [G loss: -0.002]  0:11:13.498752
2517 [D loss: -0.011 R -0.043 F 0.021] [G loss: -0.004]  0:11:13.918409
2518 [D loss: -0.018 R -0.048 F 0.011] [G loss: 0.000]  0:11:14.358991
2519 [D loss: -0.006 R -0.032 F 0.020] [G loss: -0.003]  0:11:14.801909
2520 [D loss: -0.007 R -0.038 F 0.024] [G loss: -0.000]  0:11:15.243223
2521 [D loss: -0.007 R -0.034 F 0.021] [G loss: 0.003]  0:11:15.672320
2522 [D loss: -0.013 R -0.033 F 0.006] [G loss: -0.004]  0:11:16.117210
2523 [D loss: -0.023 R -0.040 F -0.006] [G loss: 0.015]  0:11:16.536301
2524 [D loss: -0.016 R -0.044 F 0.011] [G loss: 0.013]  0:11:16.972314
2525 [D loss: -0.013 R -0.035 F 0.009] [G loss: 0.012]  0:11:17.474525
2526 [D loss: -0.009 R -0.033 F 0.016] [G loss: 0.009]  0:11:17.903115
2527 [D loss: -0.008 R -0.025 F 0.008] [G loss: 0.005]  0:11:18.346109
2528 [D loss: -0.012 R -0.029 F 0.006] [G loss: 0.011]  0:11:18.791496
2529 [D loss: -0.009 R -0.025 F 0.007] [G loss: 0.016]  0:11:19.248668
2530 [D loss: -0.011 R -0.023 F 0.000] [G loss: 0.010]  0:11:19.698257
2531 [D loss: -0.015 R -0.030 F -0.000] [G loss: 0.008]  0:11:20.154332
2532 [D loss: -0.012 R -0.032 F 0.007] [G loss: 0.004]  0:11:20.601226
2533 [D loss: -0.016 R -0.035 F 0.004] [G loss: 0.014]  0:11:21.026311
2534 [D loss: -0.011 R -0.032 F 0.011] [G loss: 0.004]  0:11:21.496491
2535 [D loss: -0.015 R -0.042 F 0.013] [G loss: -0.003]  0:11:21.961484
2536 [D loss: 0.000 R -0.042 F 0.042] [G loss: -0.013]  0:11:22.432692
2537 [D loss: -0.010 R -0.050 F 0.030] [G loss: -0.011]  0:11:22.879168
2538 [D loss: -0.010 R -0.056 F 0.036] [G loss: -0.009]  0:11:23.328883
2539 [D loss: -0.013 R -0.050 F 0.023] [G loss: -0.004]  0:11:23.772078
2540 [D loss: -0.018 R -0.056 F 0.021] [G loss: -0.019]  0:11:24.199838
2541 [D loss: -0.010 R -0.056 F 0.035] [G loss: -0.031]  0:11:24.648204
2542 [D loss: -0.011 R -0.046 F 0.023] [G loss: -0.036]  0:11:25.078630
2543 [D loss: -0.014 R -0.061 F 0.032] [G loss: -0.021]  0:11:25.500324
2544 [D loss: -0.020 R -0.054 F 0.014] [G loss: 0.007]  0:11:25.953707
2545 [D loss: -0.005 R -0.026 F 0.016] [G loss: 0.002]  0:11:26.387269
2546 [D loss: -0.016 R -0.046 F 0.014] [G loss: -0.004]  0:11:26.832157
2547 [D loss: -0.014 R -0.049 F 0.021] [G loss: -0.002]  0:11:27.260385
2548 [D loss: -0.007 R -0.028 F 0.014] [G loss: 0.008]  0:11:27.715765
2549 [D loss: -0.008 R -0.024 F 0.008] [G loss: 0.010]  0:11:28.154620
2550 [D loss: -0.013 R -0.033 F 0.008] [G loss: 0.005]  0:11:28.616056
2551 [D loss: -0.017 R -0.031 F -0.003] [G loss: 0.006]  0:11:29.067606
2552 [D loss: -0.004 R -0.022 F 0.015] [G loss: 0.006]  0:11:29.534572
2553 [D loss: -0.008 R -0.024 F 0.009] [G loss: 0.010]  0:11:29.971653
2554 [D loss: -0.008 R -0.012 F -0.003] [G loss: 0.009]  0:11:30.423912
2555 [D loss: -0.028 R -0.036 F -0.020] [G loss: 0.014]  0:11:30.869291
2556 [D loss: -0.015 R -0.018 F -0.013] [G loss: 0.012]  0:11:31.314892
2557 [D loss: -0.009 R -0.027 F 0.009] [G loss: 0.013]  0:11:31.770257
2558 [D loss: -0.010 R -0.016 F -0.004] [G loss: 0.021]  0:11:32.217974
2559 [D loss: -0.015 R -0.017 F -0.014] [G loss: 0.037]  0:11:32.638190
2560 [D loss: -0.017 R -0.013 F -0.022] [G loss: 0.036]  0:11:33.089416
2561 [D loss: -0.018 R -0.020 F -0.015] [G loss: 0.027]  0:11:33.516595
2562 [D loss: -0.013 R -0.027 F 0.001] [G loss: 0.020]  0:11:33.938465
2563 [D loss: -0.011 R -0.015 F -0.007] [G loss: 0.014]  0:11:34.376385
2564 [D loss: -0.017 R -0.024 F -0.011] [G loss: 0.019]  0:11:34.811638
2565 [D loss: -0.019 R -0.036 F -0.001] [G loss: 0.016]  0:11:35.250834
2566 [D loss: -0.014 R -0.035 F 0.007] [G loss: 0.006]  0:11:35.673366
2567 [D loss: -0.014 R -0.040 F 0.013] [G loss: -0.003]  0:11:36.114055
2568 [D loss: -0.013 R -0.052 F 0.026] [G loss: -0.013]  0:11:36.547110
2569 [D loss: -0.007 R -0.048 F 0.033] [G loss: -0.015]  0:11:36.977903
2570 [D loss: -0.011 R -0.056 F 0.035] [G loss: -0.018]  0:11:37.403982
2571 [D loss: -0.013 R -0.061 F 0.034] [G loss: -0.029]  0:11:37.851498
2572 [D loss: -0.008 R -0.062 F 0.047] [G loss: -0.029]  0:11:38.282072
2573 [D loss: -0.011 R -0.063 F 0.042] [G loss: -0.021]  0:11:38.730413
2574 [D loss: -0.010 R -0.061 F 0.041] [G loss: -0.017]  0:11:39.166272
2575 [D loss: -0.010 R -0.057 F 0.037] [G loss: -0.025]  0:11:39.635237
2576 [D loss: -0.013 R -0.052 F 0.027] [G loss: -0.014]  0:11:40.099503
2577 [D loss: -0.017 R -0.066 F 0.031] [G loss: -0.017]  0:11:40.544965
2578 [D loss: -0.011 R -0.065 F 0.042] [G loss: -0.019]  0:11:40.978925
2579 [D loss: -0.009 R -0.039 F 0.021] [G loss: -0.014]  0:11:41.416488
2580 [D loss: -0.009 R -0.041 F 0.024] [G loss: -0.001]  0:11:41.851485
2581 [D loss: -0.008 R -0.036 F 0.020] [G loss: 0.004]  0:11:42.310275
2582 [D loss: -0.010 R -0.026 F 0.007] [G loss: 0.012]  0:11:42.746153
2583 [D loss: -0.006 R -0.019 F 0.008] [G loss: 0.011]  0:11:43.182268
2584 [D loss: -0.009 R -0.025 F 0.007] [G loss: 0.015]  0:11:43.621473
2585 [D loss: -0.011 R -0.021 F 0.000] [G loss: 0.020]  0:11:44.069019
2586 [D loss: -0.011 R -0.018 F -0.003] [G loss: 0.022]  0:11:44.535521
2587 [D loss: -0.010 R -0.016 F -0.004] [G loss: 0.021]  0:11:44.969936
2588 [D loss: -0.011 R -0.012 F -0.010] [G loss: 0.025]  0:11:45.408146
2589 [D loss: -0.008 R -0.010 F -0.006] [G loss: 0.023]  0:11:45.861928
2590 [D loss: -0.011 R -0.015 F -0.008] [G loss: 0.021]  0:11:46.293305
2591 [D loss: -0.015 R -0.019 F -0.010] [G loss: 0.022]  0:11:46.746671
2592 [D loss: -0.014 R -0.024 F -0.004] [G loss: 0.027]  0:11:47.186843
2593 [D loss: -0.013 R -0.014 F -0.012] [G loss: 0.016]  0:11:47.625155
2594 [D loss: -0.019 R -0.028 F -0.009] [G loss: 0.012]  0:11:48.071986
2595 [D loss: -0.007 R -0.022 F 0.008] [G loss: 0.012]  0:11:48.501051
2596 [D loss: -0.020 R -0.032 F -0.009] [G loss: 0.015]  0:11:48.934537
2597 [D loss: -0.026 R -0.040 F -0.012] [G loss: 0.013]  0:11:49.397419
2598 [D loss: -0.002 R -0.023 F 0.020] [G loss: 0.004]  0:11:49.863078
2599 [D loss: -0.009 R -0.029 F 0.012] [G loss: 0.006]  0:11:50.285186
2600 [D loss: -0.015 R -0.038 F 0.007] [G loss: 0.011]  0:11:50.731749
2601 [D loss: -0.015 R -0.035 F 0.004] [G loss: 0.009]  0:11:51.166597
2602 [D loss: -0.011 R -0.047 F 0.025] [G loss: -0.003]  0:11:51.863355
2603 [D loss: -0.007 R -0.034 F 0.020] [G loss: -0.008]  0:11:52.303726
2604 [D loss: -0.010 R -0.043 F 0.022] [G loss: -0.010]  0:11:52.753173
2605 [D loss: -0.013 R -0.046 F 0.019] [G loss: -0.011]  0:11:53.206289
2606 [D loss: -0.010 R -0.039 F 0.019] [G loss: -0.003]  0:11:53.646226
2607 [D loss: -0.008 R -0.038 F 0.022] [G loss: -0.001]  0:11:54.114368
2608 [D loss: -0.012 R -0.049 F 0.025] [G loss: -0.004]  0:11:54.574142
2609 [D loss: -0.016 R -0.051 F 0.019] [G loss: -0.005]  0:11:55.015902
2610 [D loss: -0.009 R -0.052 F 0.033] [G loss: -0.010]  0:11:55.435893
2611 [D loss: -0.009 R -0.049 F 0.030] [G loss: -0.012]  0:11:55.888459
2612 [D loss: -0.022 R -0.059 F 0.015] [G loss: -0.007]  0:11:56.334970
2613 [D loss: -0.021 R -0.065 F 0.023] [G loss: -0.020]  0:11:56.796594
2614 [D loss: -0.010 R -0.049 F 0.029] [G loss: -0.019]  0:11:57.234723
2615 [D loss: -0.010 R -0.052 F 0.032] [G loss: -0.018]  0:11:57.684960
2616 [D loss: -0.007 R -0.048 F 0.033] [G loss: -0.018]  0:11:58.133160
2617 [D loss: -0.008 R -0.051 F 0.036] [G loss: -0.011]  0:11:58.581192
2618 [D loss: -0.013 R -0.049 F 0.023] [G loss: -0.004]  0:11:58.999131
2619 [D loss: -0.015 R -0.047 F 0.016] [G loss: -0.017]  0:11:59.448380
2620 [D loss: -0.022 R -0.046 F 0.003] [G loss: -0.010]  0:11:59.886372
2621 [D loss: -0.016 R -0.047 F 0.016] [G loss: -0.001]  0:12:00.337780
2622 [D loss: 0.002 R -0.026 F 0.029] [G loss: 0.002]  0:12:00.790486
2623 [D loss: -0.021 R -0.030 F -0.013] [G loss: 0.023]  0:12:01.242124
2624 [D loss: -0.024 R -0.037 F -0.011] [G loss: 0.017]  0:12:01.684189
2625 [D loss: -0.005 R -0.025 F 0.014] [G loss: 0.011]  0:12:02.123044
2626 [D loss: -0.014 R -0.028 F 0.001] [G loss: 0.018]  0:12:02.557655
2627 [D loss: -0.009 R -0.016 F -0.002] [G loss: 0.019]  0:12:03.000563
2628 [D loss: -0.010 R -0.018 F -0.002] [G loss: 0.016]  0:12:03.459656
2629 [D loss: -0.008 R -0.016 F 0.000] [G loss: 0.016]  0:12:03.887288
2630 [D loss: -0.010 R -0.019 F -0.002] [G loss: 0.034]  0:12:04.321313
2631 [D loss: -0.007 R -0.008 F -0.006] [G loss: 0.035]  0:12:04.775713
2632 [D loss: -0.006 R 0.010 F -0.021] [G loss: 0.026]  0:12:05.227241
2633 [D loss: -0.012 R -0.023 F -0.001] [G loss: 0.013]  0:12:05.652888
2634 [D loss: -0.013 R -0.022 F -0.004] [G loss: 0.015]  0:12:06.120051
2635 [D loss: -0.023 R -0.049 F 0.004] [G loss: 0.012]  0:12:06.560626
2636 [D loss: -0.016 R -0.031 F -0.002] [G loss: 0.013]  0:12:07.002475
2637 [D loss: -0.003 R -0.030 F 0.025] [G loss: -0.000]  0:12:07.438111
2638 [D loss: -0.011 R -0.042 F 0.021] [G loss: 0.003]  0:12:07.896830
2639 [D loss: -0.024 R -0.052 F 0.004] [G loss: -0.002]  0:12:08.344010
2640 [D loss: -0.004 R -0.041 F 0.033] [G loss: -0.014]  0:12:08.804856
2641 [D loss: -0.014 R -0.050 F 0.021] [G loss: -0.017]  0:12:09.246513
2642 [D loss: -0.011 R -0.040 F 0.018] [G loss: -0.012]  0:12:09.695279
2643 [D loss: -0.011 R -0.047 F 0.026] [G loss: -0.005]  0:12:10.141483
2644 [D loss: -0.007 R -0.041 F 0.026] [G loss: -0.011]  0:12:10.613914
2645 [D loss: -0.014 R -0.050 F 0.023] [G loss: -0.018]  0:12:11.041597
2646 [D loss: -0.007 R -0.050 F 0.035] [G loss: -0.024]  0:12:11.474374
2647 [D loss: -0.011 R -0.051 F 0.030] [G loss: -0.019]  0:12:11.899673
2648 [D loss: -0.013 R -0.050 F 0.025] [G loss: -0.005]  0:12:12.375405
2649 [D loss: -0.009 R -0.049 F 0.032] [G loss: -0.011]  0:12:12.833294
2650 [D loss: -0.011 R -0.049 F 0.028] [G loss: -0.009]  0:12:13.259177
2651 [D loss: -0.012 R -0.045 F 0.021] [G loss: -0.003]  0:12:13.691281
2652 [D loss: -0.013 R -0.044 F 0.018] [G loss: -0.013]  0:12:14.120114
2653 [D loss: -0.019 R -0.046 F 0.008] [G loss: -0.004]  0:12:14.580711
2654 [D loss: -0.009 R -0.049 F 0.031] [G loss: -0.005]  0:12:15.027449
2655 [D loss: -0.007 R -0.039 F 0.024] [G loss: -0.006]  0:12:15.485556
2656 [D loss: -0.013 R -0.039 F 0.014] [G loss: 0.002]  0:12:15.930491
2657 [D loss: -0.016 R -0.034 F 0.002] [G loss: 0.020]  0:12:16.378961
2658 [D loss: -0.014 R -0.022 F -0.006] [G loss: 0.028]  0:12:16.826014
2659 [D loss: -0.012 R -0.016 F -0.007] [G loss: 0.022]  0:12:17.282643
2660 [D loss: -0.013 R -0.024 F -0.002] [G loss: 0.019]  0:12:17.730912
2661 [D loss: -0.012 R -0.024 F -0.001] [G loss: 0.013]  0:12:18.170650
2662 [D loss: -0.014 R -0.028 F 0.001] [G loss: 0.015]  0:12:18.617093
2663 [D loss: -0.009 R -0.017 F -0.002] [G loss: 0.020]  0:12:19.064571
2664 [D loss: -0.012 R -0.016 F -0.008] [G loss: 0.020]  0:12:19.499096
2665 [D loss: -0.022 R -0.028 F -0.016] [G loss: 0.017]  0:12:19.962411
2666 [D loss: -0.012 R -0.028 F 0.005] [G loss: 0.017]  0:12:20.402052
2667 [D loss: -0.008 R -0.026 F 0.010] [G loss: 0.007]  0:12:20.881724
2668 [D loss: -0.006 R -0.022 F 0.010] [G loss: 0.001]  0:12:21.320099
2669 [D loss: -0.005 R -0.025 F 0.014] [G loss: 0.006]  0:12:21.756389
2670 [D loss: -0.015 R -0.027 F -0.003] [G loss: 0.017]  0:12:22.208483
2671 [D loss: -0.027 R -0.042 F -0.013] [G loss: 0.023]  0:12:22.656696
2672 [D loss: -0.023 R -0.042 F -0.003] [G loss: 0.015]  0:12:23.099465
2673 [D loss: -0.015 R -0.031 F 0.001] [G loss: 0.004]  0:12:23.522938
2674 [D loss: -0.008 R -0.029 F 0.012] [G loss: -0.014]  0:12:23.955183
2675 [D loss: -0.010 R -0.048 F 0.029] [G loss: -0.008]  0:12:24.370114
2676 [D loss: -0.013 R -0.056 F 0.029] [G loss: -0.005]  0:12:24.801186
2677 [D loss: -0.006 R -0.040 F 0.028] [G loss: -0.004]  0:12:25.247603
2678 [D loss: -0.019 R -0.052 F 0.014] [G loss: -0.006]  0:12:25.685238
2679 [D loss: -0.005 R -0.042 F 0.032] [G loss: -0.011]  0:12:26.119995
2680 [D loss: -0.017 R -0.056 F 0.022] [G loss: -0.010]  0:12:26.572554
2681 [D loss: -0.010 R -0.051 F 0.030] [G loss: -0.016]  0:12:27.003037
2682 [D loss: -0.010 R -0.052 F 0.032] [G loss: -0.016]  0:12:27.443475
2683 [D loss: -0.006 R -0.050 F 0.039] [G loss: -0.019]  0:12:27.899874
2684 [D loss: -0.009 R -0.049 F 0.032] [G loss: -0.009]  0:12:28.348626
2685 [D loss: -0.013 R -0.044 F 0.018] [G loss: -0.008]  0:12:28.790484
2686 [D loss: -0.015 R -0.056 F 0.026] [G loss: -0.005]  0:12:29.231482
2687 [D loss: -0.015 R -0.045 F 0.015] [G loss: -0.006]  0:12:29.691695
2688 [D loss: -0.012 R -0.052 F 0.028] [G loss: -0.006]  0:12:30.135979
2689 [D loss: -0.007 R -0.047 F 0.033] [G loss: -0.012]  0:12:30.567096
2690 [D loss: -0.004 R -0.038 F 0.029] [G loss: -0.009]  0:12:31.003607
2691 [D loss: -0.013 R -0.038 F 0.013] [G loss: 0.004]  0:12:31.430643
2692 [D loss: -0.012 R -0.043 F 0.020] [G loss: 0.000]  0:12:31.865166
2693 [D loss: -0.003 R -0.031 F 0.024] [G loss: -0.003]  0:12:32.320362
2694 [D loss: -0.012 R -0.039 F 0.016] [G loss: -0.001]  0:12:32.746218
2695 [D loss: -0.008 R -0.038 F 0.022] [G loss: -0.002]  0:12:33.173088
2696 [D loss: -0.010 R -0.038 F 0.017] [G loss: -0.004]  0:12:33.625281
2697 [D loss: -0.006 R -0.028 F 0.016] [G loss: 0.005]  0:12:34.073931
2698 [D loss: -0.005 R -0.022 F 0.012] [G loss: 0.011]  0:12:34.562591
2699 [D loss: -0.011 R -0.023 F 0.002] [G loss: 0.020]  0:12:35.012675
2700 [D loss: -0.009 R -0.024 F 0.007] [G loss: 0.019]  0:12:35.451241
2701 [D loss: -0.009 R -0.023 F 0.006] [G loss: 0.009]  0:12:35.880607
2702 [D loss: -0.005 R -0.020 F 0.010] [G loss: 0.010]  0:12:36.331897
2703 [D loss: -0.012 R -0.024 F -0.001] [G loss: 0.007]  0:12:36.757505
2704 [D loss: -0.009 R -0.029 F 0.010] [G loss: 0.009]  0:12:37.199393
2705 [D loss: -0.012 R -0.034 F 0.010] [G loss: 0.015]  0:12:37.658059
2706 [D loss: -0.015 R -0.032 F 0.003] [G loss: 0.018]  0:12:38.074585
2707 [D loss: -0.009 R -0.033 F 0.016] [G loss: 0.001]  0:12:38.518449
2708 [D loss: -0.009 R -0.034 F 0.016] [G loss: 0.001]  0:12:38.972990
2709 [D loss: -0.013 R -0.036 F 0.009] [G loss: 0.000]  0:12:39.420827
2710 [D loss: -0.019 R -0.041 F 0.004] [G loss: 0.002]  0:12:39.847093
2711 [D loss: -0.010 R -0.032 F 0.012] [G loss: 0.002]  0:12:40.276012
2712 [D loss: -0.009 R -0.033 F 0.014] [G loss: 0.005]  0:12:40.735629
2713 [D loss: -0.018 R -0.043 F 0.008] [G loss: -0.012]  0:12:41.179527
2714 [D loss: -0.008 R -0.041 F 0.025] [G loss: -0.017]  0:12:41.630051
2715 [D loss: -0.007 R -0.037 F 0.023] [G loss: -0.003]  0:12:42.061278
2716 [D loss: -0.011 R -0.040 F 0.019] [G loss: 0.000]  0:12:42.513896
2717 [D loss: -0.012 R -0.038 F 0.015] [G loss: 0.003]  0:12:42.944737
2718 [D loss: -0.010 R -0.040 F 0.021] [G loss: 0.006]  0:12:43.381848
2719 [D loss: -0.010 R -0.037 F 0.018] [G loss: -0.008]  0:12:43.799157
2720 [D loss: -0.012 R -0.040 F 0.016] [G loss: -0.008]  0:12:44.242618
2721 [D loss: -0.010 R -0.028 F 0.007] [G loss: 0.009]  0:12:44.705317
2722 [D loss: -0.019 R -0.035 F -0.002] [G loss: 0.032]  0:12:45.137304
2723 [D loss: -0.022 R -0.027 F -0.016] [G loss: 0.024]  0:12:45.621891
2724 [D loss: -0.008 R -0.013 F -0.004] [G loss: 0.005]  0:12:46.051301
2725 [D loss: -0.009 R -0.041 F 0.022] [G loss: -0.005]  0:12:46.471741
2726 [D loss: -0.012 R -0.040 F 0.016] [G loss: -0.000]  0:12:46.924465
2727 [D loss: -0.013 R -0.043 F 0.017] [G loss: 0.000]  0:12:47.374264
2728 [D loss: -0.009 R -0.031 F 0.014] [G loss: 0.001]  0:12:47.798999
2729 [D loss: -0.013 R -0.038 F 0.013] [G loss: 0.005]  0:12:48.232417
2730 [D loss: -0.018 R -0.036 F -0.001] [G loss: 0.003]  0:12:48.671320
2731 [D loss: -0.030 R -0.044 F -0.017] [G loss: 0.004]  0:12:49.107571
2732 [D loss: -0.009 R -0.036 F 0.018] [G loss: -0.008]  0:12:49.572076
2733 [D loss: -0.003 R -0.047 F 0.041] [G loss: -0.022]  0:12:50.029770
2734 [D loss: -0.006 R -0.047 F 0.034] [G loss: -0.010]  0:12:50.449815
2735 [D loss: -0.010 R -0.045 F 0.026] [G loss: -0.002]  0:12:50.910452
2736 [D loss: -0.011 R -0.046 F 0.025] [G loss: 0.003]  0:12:51.346652
2737 [D loss: -0.018 R -0.044 F 0.008] [G loss: 0.002]  0:12:51.817873
2738 [D loss: -0.006 R -0.029 F 0.018] [G loss: 0.003]  0:12:52.291828
2739 [D loss: -0.011 R -0.027 F 0.005] [G loss: 0.012]  0:12:52.725648
2740 [D loss: -0.010 R -0.025 F 0.005] [G loss: 0.018]  0:12:53.147129
2741 [D loss: -0.011 R -0.032 F 0.010] [G loss: 0.011]  0:12:53.590048
2742 [D loss: -0.019 R -0.031 F -0.008] [G loss: 0.010]  0:12:54.014655
2743 [D loss: -0.017 R -0.037 F 0.003] [G loss: 0.006]  0:12:54.443113
2744 [D loss: -0.003 R -0.029 F 0.023] [G loss: 0.004]  0:12:54.880300
2745 [D loss: -0.012 R -0.038 F 0.014] [G loss: 0.003]  0:12:55.322104
2746 [D loss: -0.011 R -0.035 F 0.013] [G loss: 0.004]  0:12:55.782925
2747 [D loss: -0.013 R -0.042 F 0.015] [G loss: -0.003]  0:12:56.229072
2748 [D loss: -0.006 R -0.042 F 0.030] [G loss: -0.010]  0:12:56.654340
2749 [D loss: -0.015 R -0.047 F 0.018] [G loss: -0.009]  0:12:57.085721
2750 [D loss: -0.015 R -0.048 F 0.018] [G loss: -0.009]  0:12:57.531560
2751 [D loss: -0.009 R -0.049 F 0.030] [G loss: -0.015]  0:12:57.966188
2752 [D loss: -0.012 R -0.049 F 0.026] [G loss: -0.019]  0:12:58.412928
2753 [D loss: -0.015 R -0.066 F 0.035] [G loss: -0.020]  0:12:58.840358
2754 [D loss: -0.014 R -0.049 F 0.020] [G loss: -0.025]  0:12:59.283532
2755 [D loss: -0.008 R -0.048 F 0.033] [G loss: -0.018]  0:12:59.727732
2756 [D loss: -0.006 R -0.032 F 0.020] [G loss: -0.004]  0:13:00.153254
2757 [D loss: -0.018 R -0.030 F -0.005] [G loss: 0.011]  0:13:00.610121
2758 [D loss: -0.027 R -0.047 F -0.007] [G loss: 0.003]  0:13:01.079854
2759 [D loss: -0.014 R -0.041 F 0.014] [G loss: -0.002]  0:13:01.516758
2760 [D loss: -0.003 R -0.033 F 0.027] [G loss: -0.005]  0:13:01.952926
2761 [D loss: -0.018 R -0.045 F 0.009] [G loss: -0.001]  0:13:02.390110
2762 [D loss: -0.021 R -0.041 F -0.001] [G loss: -0.003]  0:13:02.837339
2763 [D loss: -0.014 R -0.032 F 0.005] [G loss: 0.005]  0:13:03.256006
2764 [D loss: -0.017 R -0.018 F -0.016] [G loss: 0.022]  0:13:03.680618
2765 [D loss: -0.024 R -0.024 F -0.024] [G loss: 0.032]  0:13:04.131187
2766 [D loss: -0.011 R -0.009 F -0.012] [G loss: 0.024]  0:13:04.567974
2767 [D loss: -0.025 R -0.029 F -0.021] [G loss: 0.016]  0:13:05.022650
2768 [D loss: -0.010 R -0.026 F 0.005] [G loss: 0.019]  0:13:05.479191
2769 [D loss: -0.009 R -0.010 F -0.009] [G loss: 0.033]  0:13:05.933217
2770 [D loss: -0.017 R -0.027 F -0.007] [G loss: 0.034]  0:13:06.365360
2771 [D loss: -0.016 R -0.029 F -0.003] [G loss: 0.023]  0:13:06.813538
2772 [D loss: -0.001 R -0.017 F 0.015] [G loss: 0.011]  0:13:07.237798
2773 [D loss: -0.010 R -0.020 F -0.000] [G loss: 0.019]  0:13:07.684214
2774 [D loss: -0.007 R -0.016 F 0.003] [G loss: 0.012]  0:13:08.121583
2775 [D loss: -0.017 R -0.043 F 0.009] [G loss: 0.012]  0:13:08.823749
2776 [D loss: -0.007 R -0.036 F 0.022] [G loss: 0.000]  0:13:09.257338
2777 [D loss: -0.011 R -0.044 F 0.022] [G loss: -0.005]  0:13:09.710496
2778 [D loss: -0.007 R -0.042 F 0.028] [G loss: -0.007]  0:13:10.152231
2779 [D loss: -0.011 R -0.047 F 0.026] [G loss: -0.016]  0:13:10.608540
2780 [D loss: -0.013 R -0.051 F 0.026] [G loss: -0.014]  0:13:11.031146
2781 [D loss: -0.008 R -0.050 F 0.034] [G loss: -0.017]  0:13:11.465247
2782 [D loss: -0.013 R -0.057 F 0.030] [G loss: -0.015]  0:13:11.924733
2783 [D loss: -0.014 R -0.049 F 0.021] [G loss: -0.005]  0:13:12.380105
2784 [D loss: -0.006 R -0.050 F 0.037] [G loss: -0.009]  0:13:12.831653
2785 [D loss: -0.011 R -0.047 F 0.026] [G loss: -0.009]  0:13:13.264670
2786 [D loss: -0.015 R -0.054 F 0.024] [G loss: -0.001]  0:13:13.714184
2787 [D loss: -0.016 R -0.054 F 0.021] [G loss: -0.010]  0:13:14.151362
2788 [D loss: -0.017 R -0.055 F 0.021] [G loss: -0.011]  0:13:14.595001
2789 [D loss: -0.005 R -0.046 F 0.036] [G loss: -0.010]  0:13:15.012376
2790 [D loss: -0.002 R -0.040 F 0.037] [G loss: -0.014]  0:13:15.475364
2791 [D loss: -0.013 R -0.040 F 0.015] [G loss: -0.004]  0:13:15.921813
2792 [D loss: -0.014 R -0.047 F 0.019] [G loss: 0.006]  0:13:16.354805
2793 [D loss: -0.018 R -0.040 F 0.004] [G loss: 0.009]  0:13:16.799236
2794 [D loss: -0.013 R -0.032 F 0.007] [G loss: 0.005]  0:13:17.232635
2795 [D loss: -0.015 R -0.032 F 0.001] [G loss: 0.006]  0:13:17.673812
2796 [D loss: -0.015 R -0.034 F 0.003] [G loss: 0.013]  0:13:18.096701
2797 [D loss: -0.010 R -0.023 F 0.002] [G loss: 0.017]  0:13:18.527472
2798 [D loss: -0.013 R -0.028 F 0.003] [G loss: 0.017]  0:13:18.972189
2799 [D loss: -0.029 R -0.046 F -0.012] [G loss: 0.007]  0:13:19.420952
2800 [D loss: -0.027 R -0.024 F -0.030] [G loss: 0.008]  0:13:19.878571
2801 [D loss: -0.013 R -0.015 F -0.010] [G loss: 0.018]  0:13:20.311451
2802 [D loss: -0.012 R -0.027 F 0.002] [G loss: 0.021]  0:13:20.755217
2803 [D loss: -0.015 R -0.024 F -0.007] [G loss: 0.020]  0:13:21.179629
2804 [D loss: -0.016 R -0.023 F -0.009] [G loss: 0.016]  0:13:21.604349
2805 [D loss: -0.011 R -0.031 F 0.008] [G loss: 0.009]  0:13:22.049628
2806 [D loss: -0.009 R -0.033 F 0.014] [G loss: 0.002]  0:13:22.509624
2807 [D loss: -0.011 R -0.025 F 0.002] [G loss: -0.002]  0:13:22.949066
2808 [D loss: -0.017 R -0.036 F 0.003] [G loss: -0.003]  0:13:23.386140
2809 [D loss: -0.005 R -0.028 F 0.018] [G loss: 0.003]  0:13:23.827032
2810 [D loss: -0.015 R -0.030 F 0.001] [G loss: 0.018]  0:13:24.278236
2811 [D loss: -0.015 R -0.034 F 0.003] [G loss: 0.014]  0:13:24.733308
2812 [D loss: -0.016 R -0.027 F -0.005] [G loss: 0.003]  0:13:25.190337
2813 [D loss: -0.007 R -0.035 F 0.021] [G loss: -0.006]  0:13:25.637206
2814 [D loss: -0.008 R -0.039 F 0.023] [G loss: -0.011]  0:13:26.080829
2815 [D loss: -0.017 R -0.055 F 0.021] [G loss: -0.008]  0:13:26.518015
2816 [D loss: -0.018 R -0.060 F 0.025] [G loss: -0.008]  0:13:26.963656
2817 [D loss: -0.014 R -0.053 F 0.026] [G loss: -0.022]  0:13:27.399587
2818 [D loss: -0.008 R -0.051 F 0.036] [G loss: -0.021]  0:13:27.835042
2819 [D loss: -0.011 R -0.055 F 0.033] [G loss: -0.021]  0:13:28.277008
2820 [D loss: -0.015 R -0.051 F 0.021] [G loss: -0.014]  0:13:28.722501
2821 [D loss: -0.011 R -0.039 F 0.017] [G loss: -0.005]  0:13:29.155896
2822 [D loss: -0.007 R -0.035 F 0.021] [G loss: -0.002]  0:13:29.596344
2823 [D loss: -0.008 R -0.031 F 0.016] [G loss: 0.005]  0:13:30.011676
2824 [D loss: -0.018 R -0.029 F -0.007] [G loss: 0.007]  0:13:30.439240
2825 [D loss: -0.004 R -0.020 F 0.012] [G loss: 0.005]  0:13:30.886845
2826 [D loss: -0.015 R -0.038 F 0.008] [G loss: -0.002]  0:13:31.339395
2827 [D loss: -0.018 R -0.052 F 0.017] [G loss: -0.006]  0:13:31.773585
2828 [D loss: -0.004 R -0.047 F 0.038] [G loss: -0.014]  0:13:32.204823
2829 [D loss: -0.010 R -0.057 F 0.036] [G loss: -0.015]  0:13:32.655365
2830 [D loss: -0.003 R -0.045 F 0.039] [G loss: -0.011]  0:13:33.082271
2831 [D loss: -0.013 R -0.036 F 0.011] [G loss: 0.003]  0:13:33.558534
2832 [D loss: -0.011 R -0.036 F 0.015] [G loss: 0.003]  0:13:34.035762
2833 [D loss: -0.015 R -0.043 F 0.013] [G loss: 0.001]  0:13:34.484791
2834 [D loss: -0.016 R -0.050 F 0.018] [G loss: -0.005]  0:13:34.933787
2835 [D loss: -0.010 R -0.047 F 0.027] [G loss: -0.010]  0:13:35.418187
2836 [D loss: -0.015 R -0.050 F 0.019] [G loss: -0.004]  0:13:35.872593
2837 [D loss: -0.012 R -0.040 F 0.015] [G loss: -0.011]  0:13:36.312686
2838 [D loss: -0.016 R -0.049 F 0.016] [G loss: -0.007]  0:13:36.750422
2839 [D loss: -0.005 R -0.032 F 0.022] [G loss: -0.004]  0:13:37.184197
2840 [D loss: -0.006 R -0.027 F 0.014] [G loss: 0.006]  0:13:37.623108
2841 [D loss: -0.011 R -0.031 F 0.009] [G loss: 0.000]  0:13:38.091312
2842 [D loss: -0.008 R -0.015 F -0.001] [G loss: 0.012]  0:13:38.533949
2843 [D loss: -0.005 R -0.018 F 0.009] [G loss: 0.005]  0:13:38.981364
2844 [D loss: -0.009 R -0.028 F 0.009] [G loss: 0.006]  0:13:39.424246
2845 [D loss: -0.009 R -0.035 F 0.017] [G loss: -0.000]  0:13:39.882311
2846 [D loss: -0.011 R -0.029 F 0.007] [G loss: 0.007]  0:13:40.314479
2847 [D loss: -0.009 R -0.028 F 0.010] [G loss: 0.005]  0:13:40.756387
2848 [D loss: -0.010 R -0.036 F 0.016] [G loss: 0.000]  0:13:41.207669
2849 [D loss: -0.008 R -0.032 F 0.016] [G loss: 0.003]  0:13:41.656236
2850 [D loss: -0.009 R -0.036 F 0.018] [G loss: 0.004]  0:13:42.133526
2851 [D loss: -0.013 R -0.040 F 0.014] [G loss: -0.001]  0:13:42.581643
2852 [D loss: -0.011 R -0.037 F 0.015] [G loss: -0.005]  0:13:43.067163
2853 [D loss: -0.018 R -0.043 F 0.007] [G loss: 0.000]  0:13:43.516056
2854 [D loss: -0.008 R -0.034 F 0.017] [G loss: 0.006]  0:13:43.945580
2855 [D loss: -0.006 R -0.016 F 0.003] [G loss: 0.014]  0:13:44.391862
2856 [D loss: -0.012 R -0.031 F 0.008] [G loss: 0.016]  0:13:44.857383
2857 [D loss: -0.010 R -0.029 F 0.009] [G loss: 0.007]  0:13:45.307872
2858 [D loss: -0.013 R -0.026 F 0.001] [G loss: 0.008]  0:13:45.769096
2859 [D loss: -0.015 R -0.028 F -0.002] [G loss: 0.005]  0:13:46.214603
2860 [D loss: -0.020 R -0.037 F -0.004] [G loss: -0.002]  0:13:46.635012
2861 [D loss: -0.007 R -0.031 F 0.017] [G loss: -0.005]  0:13:47.064520
2862 [D loss: 0.001 R -0.038 F 0.040] [G loss: -0.012]  0:13:47.516457
2863 [D loss: -0.011 R -0.049 F 0.027] [G loss: -0.009]  0:13:47.959244
2864 [D loss: -0.014 R -0.029 F 0.001] [G loss: 0.003]  0:13:48.389427
2865 [D loss: -0.010 R -0.027 F 0.008] [G loss: 0.010]  0:13:48.857563
2866 [D loss: -0.010 R -0.029 F 0.010] [G loss: 0.008]  0:13:49.285299
2867 [D loss: -0.013 R -0.033 F 0.007] [G loss: 0.009]  0:13:49.732253
2868 [D loss: -0.015 R -0.034 F 0.005] [G loss: 0.005]  0:13:50.180943
2869 [D loss: -0.009 R -0.032 F 0.014] [G loss: -0.004]  0:13:50.631446
2870 [D loss: -0.002 R -0.032 F 0.028] [G loss: -0.004]  0:13:51.080587
2871 [D loss: -0.013 R -0.039 F 0.013] [G loss: 0.012]  0:13:51.527602
2872 [D loss: -0.015 R -0.030 F 0.001] [G loss: 0.018]  0:13:51.956408
2873 [D loss: -0.010 R -0.014 F -0.006] [G loss: 0.010]  0:13:52.402816
2874 [D loss: -0.009 R -0.013 F -0.004] [G loss: 0.002]  0:13:52.836050
2875 [D loss: -0.012 R -0.034 F 0.010] [G loss: -0.002]  0:13:53.323281
2876 [D loss: -0.004 R -0.021 F 0.012] [G loss: -0.005]  0:13:53.763495
2877 [D loss: -0.012 R -0.034 F 0.011] [G loss: 0.005]  0:13:54.208573
2878 [D loss: -0.019 R -0.036 F -0.002] [G loss: 0.017]  0:13:54.660840
2879 [D loss: -0.011 R -0.038 F 0.017] [G loss: 0.003]  0:13:55.099368
2880 [D loss: -0.020 R -0.048 F 0.008] [G loss: -0.001]  0:13:55.537841
2881 [D loss: -0.010 R -0.042 F 0.022] [G loss: 0.004]  0:13:55.981821
2882 [D loss: -0.003 R -0.034 F 0.028] [G loss: -0.008]  0:13:56.431165
2883 [D loss: -0.009 R -0.038 F 0.020] [G loss: -0.005]  0:13:56.889272
2884 [D loss: -0.008 R -0.032 F 0.016] [G loss: 0.002]  0:13:57.334613
2885 [D loss: -0.006 R -0.033 F 0.020] [G loss: 0.003]  0:13:57.773179
2886 [D loss: -0.006 R -0.036 F 0.024] [G loss: -0.006]  0:13:58.193648
2887 [D loss: -0.009 R -0.039 F 0.021] [G loss: -0.007]  0:13:58.653345
2888 [D loss: -0.015 R -0.047 F 0.016] [G loss: -0.000]  0:13:59.071325
2889 [D loss: -0.018 R -0.050 F 0.014] [G loss: -0.003]  0:13:59.511312
2890 [D loss: -0.013 R -0.051 F 0.026] [G loss: -0.013]  0:13:59.937131
2891 [D loss: -0.009 R -0.047 F 0.028] [G loss: -0.010]  0:14:00.398104
2892 [D loss: -0.016 R -0.045 F 0.013] [G loss: 0.001]  0:14:00.851707
2893 [D loss: -0.009 R -0.041 F 0.023] [G loss: -0.017]  0:14:01.302389
2894 [D loss: -0.021 R -0.064 F 0.021] [G loss: -0.029]  0:14:01.743558
2895 [D loss: -0.020 R -0.049 F 0.009] [G loss: -0.028]  0:14:02.171233
2896 [D loss: -0.020 R -0.050 F 0.010] [G loss: -0.028]  0:14:02.598318
2897 [D loss: -0.013 R -0.038 F 0.012] [G loss: -0.013]  0:14:03.044992
2898 [D loss: -0.006 R -0.039 F 0.028] [G loss: 0.000]  0:14:03.505027
2899 [D loss: -0.020 R -0.040 F -0.000] [G loss: 0.017]  0:14:03.949998
2900 [D loss: -0.019 R -0.031 F -0.006] [G loss: 0.020]  0:14:04.366942
2901 [D loss: -0.019 R -0.035 F -0.003] [G loss: 0.010]  0:14:04.826556
2902 [D loss: -0.007 R -0.031 F 0.018] [G loss: 0.015]  0:14:05.251880
2903 [D loss: -0.010 R -0.024 F 0.005] [G loss: 0.021]  0:14:05.683762
2904 [D loss: -0.012 R -0.024 F 0.001] [G loss: 0.015]  0:14:06.143505
2905 [D loss: -0.007 R -0.019 F 0.005] [G loss: 0.014]  0:14:06.614534
2906 [D loss: -0.010 R -0.019 F -0.002] [G loss: 0.012]  0:14:07.097374
2907 [D loss: -0.009 R -0.002 F -0.016] [G loss: 0.014]  0:14:07.535107
2908 [D loss: -0.009 R -0.014 F -0.004] [G loss: 0.019]  0:14:07.984932
2909 [D loss: -0.005 R -0.007 F -0.003] [G loss: 0.023]  0:14:08.429745
2910 [D loss: -0.014 R -0.007 F -0.021] [G loss: 0.027]  0:14:08.893572
2911 [D loss: -0.019 R -0.015 F -0.022] [G loss: 0.022]  0:14:09.318126
2912 [D loss: -0.012 R -0.025 F 0.001] [G loss: 0.012]  0:14:09.750580
2913 [D loss: -0.005 R -0.017 F 0.007] [G loss: 0.003]  0:14:10.205752
2914 [D loss: -0.010 R -0.036 F 0.016] [G loss: -0.004]  0:14:10.664326
2915 [D loss: -0.013 R -0.035 F 0.010] [G loss: -0.001]  0:14:11.094069
2916 [D loss: -0.026 R -0.049 F -0.004] [G loss: -0.013]  0:14:11.522505
2917 [D loss: -0.016 R -0.034 F 0.002] [G loss: -0.008]  0:14:11.964368
2918 [D loss: -0.012 R -0.037 F 0.013] [G loss: -0.008]  0:14:12.399870
2919 [D loss: -0.001 R -0.041 F 0.039] [G loss: -0.018]  0:14:12.842223
2920 [D loss: -0.013 R -0.050 F 0.024] [G loss: -0.007]  0:14:13.284121
2921 [D loss: -0.020 R -0.053 F 0.012] [G loss: -0.002]  0:14:13.728568
2922 [D loss: -0.011 R -0.050 F 0.028] [G loss: -0.005]  0:14:14.175273
2923 [D loss: -0.009 R -0.049 F 0.031] [G loss: -0.002]  0:14:14.617636
2924 [D loss: -0.015 R -0.046 F 0.016] [G loss: -0.001]  0:14:15.087092
2925 [D loss: -0.011 R -0.041 F 0.018] [G loss: -0.005]  0:14:15.539333
2926 [D loss: -0.012 R -0.050 F 0.026] [G loss: -0.021]  0:14:16.015391
2927 [D loss: -0.006 R -0.047 F 0.035] [G loss: -0.014]  0:14:16.485164
2928 [D loss: -0.012 R -0.051 F 0.027] [G loss: -0.017]  0:14:16.938401
2929 [D loss: -0.011 R -0.053 F 0.031] [G loss: -0.022]  0:14:17.368970
2930 [D loss: -0.007 R -0.054 F 0.040] [G loss: -0.016]  0:14:17.829197
2931 [D loss: -0.008 R -0.056 F 0.041] [G loss: -0.019]  0:14:18.265493
2932 [D loss: -0.008 R -0.048 F 0.032] [G loss: -0.021]  0:14:18.721374
2933 [D loss: -0.015 R -0.052 F 0.021] [G loss: -0.012]  0:14:19.156555
2934 [D loss: -0.017 R -0.055 F 0.021] [G loss: -0.009]  0:14:19.585447
2935 [D loss: -0.009 R -0.047 F 0.029] [G loss: -0.004]  0:14:20.019406
2936 [D loss: -0.013 R -0.040 F 0.014] [G loss: -0.002]  0:14:20.452018
2937 [D loss: -0.009 R -0.039 F 0.020] [G loss: -0.010]  0:14:20.898207
2938 [D loss: -0.011 R -0.036 F 0.013] [G loss: -0.004]  0:14:21.354631
2939 [D loss: -0.013 R -0.023 F -0.004] [G loss: 0.007]  0:14:21.808910
2940 [D loss: -0.005 R -0.022 F 0.011] [G loss: 0.007]  0:14:22.258736
2941 [D loss: -0.007 R -0.021 F 0.006] [G loss: 0.016]  0:14:22.691265
2942 [D loss: -0.009 R -0.007 F -0.011] [G loss: 0.026]  0:14:23.131045
2943 [D loss: -0.016 R -0.008 F -0.024] [G loss: 0.037]  0:14:23.587398
2944 [D loss: -0.006 R -0.000 F -0.011] [G loss: 0.029]  0:14:24.026650
2945 [D loss: -0.008 R -0.001 F -0.015] [G loss: 0.029]  0:14:24.459878
2946 [D loss: -0.015 R -0.013 F -0.018] [G loss: 0.034]  0:14:24.890193
2947 [D loss: -0.013 R -0.015 F -0.011] [G loss: 0.024]  0:14:25.324009
2948 [D loss: -0.008 R -0.019 F 0.003] [G loss: 0.017]  0:14:25.764230
2949 [D loss: -0.009 R -0.023 F 0.005] [G loss: 0.013]  0:14:26.184476
2950 [D loss: -0.010 R -0.025 F 0.005] [G loss: 0.012]  0:14:26.909423
2951 [D loss: -0.004 R -0.020 F 0.013] [G loss: 0.017]  0:14:27.349909
2952 [D loss: -0.017 R -0.036 F 0.003] [G loss: 0.004]  0:14:27.823398
2953 [D loss: -0.007 R -0.031 F 0.017] [G loss: -0.005]  0:14:28.248132
2954 [D loss: -0.016 R -0.035 F 0.002] [G loss: 0.004]  0:14:28.740416
2955 [D loss: -0.017 R -0.042 F 0.008] [G loss: 0.001]  0:14:29.179512
2956 [D loss: -0.012 R -0.045 F 0.021] [G loss: -0.001]  0:14:29.610128
2957 [D loss: -0.007 R -0.041 F 0.028] [G loss: -0.029]  0:14:30.057470
2958 [D loss: -0.013 R -0.058 F 0.032] [G loss: -0.032]  0:14:30.524524
2959 [D loss: -0.009 R -0.052 F 0.034] [G loss: -0.028]  0:14:30.948790
2960 [D loss: -0.012 R -0.057 F 0.033] [G loss: -0.027]  0:14:31.388599
2961 [D loss: -0.014 R -0.054 F 0.025] [G loss: -0.025]  0:14:31.826671
2962 [D loss: -0.005 R -0.055 F 0.045] [G loss: -0.023]  0:14:32.263132
2963 [D loss: -0.013 R -0.067 F 0.041] [G loss: -0.031]  0:14:32.697338
2964 [D loss: -0.006 R -0.058 F 0.047] [G loss: -0.023]  0:14:33.131547
2965 [D loss: -0.006 R -0.047 F 0.035] [G loss: -0.013]  0:14:33.566491
2966 [D loss: -0.012 R -0.048 F 0.024] [G loss: -0.006]  0:14:34.043192
2967 [D loss: -0.012 R -0.051 F 0.026] [G loss: -0.012]  0:14:34.470916
2968 [D loss: -0.009 R -0.045 F 0.026] [G loss: -0.012]  0:14:34.951041
2969 [D loss: -0.008 R -0.043 F 0.028] [G loss: -0.005]  0:14:35.427246
2970 [D loss: -0.013 R -0.038 F 0.012] [G loss: -0.002]  0:14:35.870883
2971 [D loss: -0.007 R -0.034 F 0.020] [G loss: 0.004]  0:14:36.312696
2972 [D loss: -0.010 R -0.028 F 0.008] [G loss: 0.006]  0:14:36.743113
2973 [D loss: -0.009 R -0.029 F 0.011] [G loss: -0.004]  0:14:37.163609
2974 [D loss: -0.010 R -0.026 F 0.005] [G loss: 0.008]  0:14:37.616796
2975 [D loss: -0.006 R -0.024 F 0.012] [G loss: 0.011]  0:14:38.045948
2976 [D loss: -0.013 R -0.019 F -0.007] [G loss: 0.012]  0:14:38.480287
2977 [D loss: -0.008 R -0.021 F 0.004] [G loss: 0.007]  0:14:38.916197
2978 [D loss: -0.011 R -0.028 F 0.007] [G loss: 0.008]  0:14:39.360659
2979 [D loss: -0.011 R -0.024 F 0.002] [G loss: 0.005]  0:14:39.828364
2980 [D loss: -0.008 R -0.017 F 0.002] [G loss: 0.006]  0:14:40.271490
2981 [D loss: -0.014 R -0.031 F 0.004] [G loss: -0.002]  0:14:40.708858
2982 [D loss: -0.008 R -0.017 F 0.002] [G loss: 0.017]  0:14:41.171496
2983 [D loss: -0.014 R -0.024 F -0.004] [G loss: 0.022]  0:14:41.599709
2984 [D loss: -0.011 R -0.014 F -0.009] [G loss: 0.024]  0:14:42.025690
2985 [D loss: -0.010 R -0.018 F -0.003] [G loss: 0.025]  0:14:42.474338
2986 [D loss: -0.015 R -0.022 F -0.007] [G loss: 0.014]  0:14:42.903616
2987 [D loss: -0.009 R -0.023 F 0.006] [G loss: 0.008]  0:14:43.353915
2988 [D loss: -0.012 R -0.033 F 0.009] [G loss: 0.002]  0:14:43.795186
2989 [D loss: -0.010 R -0.025 F 0.006] [G loss: 0.001]  0:14:44.241031
2990 [D loss: -0.012 R -0.033 F 0.010] [G loss: 0.008]  0:14:44.682491
2991 [D loss: -0.013 R -0.036 F 0.009] [G loss: 0.011]  0:14:45.120011
2992 [D loss: -0.015 R -0.044 F 0.014] [G loss: -0.006]  0:14:45.581647
2993 [D loss: -0.009 R -0.038 F 0.019] [G loss: -0.009]  0:14:46.038461
2994 [D loss: -0.010 R -0.045 F 0.024] [G loss: -0.013]  0:14:46.472188
2995 [D loss: -0.007 R -0.032 F 0.017] [G loss: -0.011]  0:14:46.910507
2996 [D loss: -0.016 R -0.047 F 0.014] [G loss: 0.003]  0:14:47.367205
2997 [D loss: -0.031 R -0.034 F -0.028] [G loss: 0.029]  0:14:47.811820
2998 [D loss: -0.021 R -0.035 F -0.008] [G loss: 0.008]  0:14:48.219996
2999 [D loss: -0.007 R -0.032 F 0.017] [G loss: -0.002]  0:14:48.665401
3000 [D loss: -0.004 R -0.029 F 0.022] [G loss: 0.003]  0:14:49.116691
3001 [D loss: -0.015 R -0.029 F -0.002] [G loss: 0.004]  0:14:49.543483
3002 [D loss: -0.012 R -0.031 F 0.008] [G loss: 0.005]  0:14:50.006919
3003 [D loss: -0.013 R -0.025 F -0.000] [G loss: 0.010]  0:14:50.455236
3004 [D loss: -0.017 R -0.035 F 0.001] [G loss: 0.013]  0:14:50.920363
3005 [D loss: -0.007 R -0.023 F 0.010] [G loss: 0.008]  0:14:51.350599
3006 [D loss: -0.011 R -0.034 F 0.012] [G loss: 0.000]  0:14:51.801782
3007 [D loss: -0.006 R -0.034 F 0.021] [G loss: -0.005]  0:14:52.210937
3008 [D loss: -0.005 R -0.035 F 0.025] [G loss: -0.011]  0:14:52.661567
3009 [D loss: -0.005 R -0.040 F 0.030] [G loss: -0.004]  0:14:53.103568
3010 [D loss: -0.002 R -0.037 F 0.032] [G loss: -0.018]  0:14:53.530358
3011 [D loss: -0.007 R -0.034 F 0.020] [G loss: -0.007]  0:14:53.984200
3012 [D loss: -0.005 R -0.033 F 0.023] [G loss: -0.013]  0:14:54.441965
3013 [D loss: -0.015 R -0.041 F 0.010] [G loss: -0.003]  0:14:54.892127
3014 [D loss: -0.014 R -0.033 F 0.005] [G loss: 0.009]  0:14:55.330088
3015 [D loss: -0.013 R -0.036 F 0.011] [G loss: 0.006]  0:14:55.767034
3016 [D loss: -0.018 R -0.029 F -0.007] [G loss: 0.007]  0:14:56.194071
3017 [D loss: -0.018 R -0.035 F -0.001] [G loss: 0.004]  0:14:56.641408
3018 [D loss: 0.001 R -0.020 F 0.022] [G loss: 0.003]  0:14:57.076500
3019 [D loss: -0.005 R -0.026 F 0.016] [G loss: 0.012]  0:14:57.553993
3020 [D loss: -0.016 R -0.023 F -0.009] [G loss: 0.020]  0:14:57.993246
3021 [D loss: -0.017 R -0.022 F -0.012] [G loss: 0.016]  0:14:58.453123
3022 [D loss: -0.013 R -0.032 F 0.005] [G loss: 0.011]  0:14:58.876036
3023 [D loss: -0.009 R -0.025 F 0.008] [G loss: 0.015]  0:14:59.319792
3024 [D loss: -0.012 R -0.029 F 0.005] [G loss: 0.007]  0:14:59.769035
3025 [D loss: -0.009 R -0.023 F 0.005] [G loss: 0.002]  0:15:00.226966
3026 [D loss: -0.014 R -0.027 F -0.000] [G loss: 0.017]  0:15:00.691750
3027 [D loss: -0.014 R -0.030 F 0.001] [G loss: 0.008]  0:15:01.139023
3028 [D loss: -0.008 R -0.028 F 0.011] [G loss: 0.002]  0:15:01.591800
3029 [D loss: -0.004 R -0.034 F 0.027] [G loss: -0.007]  0:15:02.014239
3030 [D loss: -0.007 R -0.033 F 0.018] [G loss: -0.003]  0:15:02.465714
3031 [D loss: -0.010 R -0.038 F 0.018] [G loss: -0.007]  0:15:02.926412
3032 [D loss: -0.001 R -0.030 F 0.028] [G loss: -0.004]  0:15:03.397624
3033 [D loss: -0.011 R -0.041 F 0.020] [G loss: -0.002]  0:15:03.833767
3034 [D loss: -0.012 R -0.039 F 0.015] [G loss: 0.004]  0:15:04.270590
3035 [D loss: -0.012 R -0.038 F 0.015] [G loss: 0.010]  0:15:04.728827
3036 [D loss: -0.005 R -0.037 F 0.027] [G loss: -0.004]  0:15:05.198499
3037 [D loss: -0.005 R -0.033 F 0.022] [G loss: -0.009]  0:15:05.664750
3038 [D loss: -0.009 R -0.037 F 0.019] [G loss: -0.010]  0:15:06.114262
3039 [D loss: -0.008 R -0.037 F 0.021] [G loss: -0.006]  0:15:06.606350
3040 [D loss: -0.005 R -0.025 F 0.016] [G loss: 0.002]  0:15:07.062016
3041 [D loss: -0.013 R -0.032 F 0.006] [G loss: 0.014]  0:15:07.500895
3042 [D loss: -0.018 R -0.036 F 0.000] [G loss: -0.001]  0:15:07.933333
3043 [D loss: -0.010 R -0.034 F 0.014] [G loss: 0.006]  0:15:08.380160
3044 [D loss: -0.021 R -0.038 F -0.004] [G loss: 0.016]  0:15:08.806854
3045 [D loss: -0.013 R -0.035 F 0.010] [G loss: 0.005]  0:15:09.252083
3046 [D loss: 0.001 R -0.032 F 0.033] [G loss: -0.005]  0:15:09.696385
3047 [D loss: -0.005 R -0.040 F 0.029] [G loss: -0.007]  0:15:10.140764
3048 [D loss: -0.011 R -0.040 F 0.019] [G loss: -0.007]  0:15:10.624054
3049 [D loss: -0.010 R -0.040 F 0.020] [G loss: -0.006]  0:15:11.061928
3050 [D loss: -0.004 R -0.034 F 0.025] [G loss: -0.006]  0:15:11.506794
3051 [D loss: -0.012 R -0.043 F 0.018] [G loss: -0.011]  0:15:11.956330
3052 [D loss: -0.015 R -0.042 F 0.012] [G loss: -0.009]  0:15:12.400676
3053 [D loss: -0.006 R -0.036 F 0.025] [G loss: -0.005]  0:15:12.848396
3054 [D loss: -0.009 R -0.037 F 0.019] [G loss: -0.002]  0:15:13.291926
3055 [D loss: -0.007 R -0.031 F 0.017] [G loss: -0.004]  0:15:13.735439
3056 [D loss: -0.004 R -0.032 F 0.024] [G loss: -0.008]  0:15:14.162019
3057 [D loss: -0.010 R -0.031 F 0.011] [G loss: 0.005]  0:15:14.591418
3058 [D loss: -0.015 R -0.031 F 0.001] [G loss: 0.014]  0:15:15.045244
3059 [D loss: -0.010 R -0.022 F 0.002] [G loss: 0.008]  0:15:15.505130
3060 [D loss: -0.012 R -0.030 F 0.006] [G loss: 0.007]  0:15:15.947367
3061 [D loss: -0.012 R -0.018 F -0.005] [G loss: 0.016]  0:15:16.380464
3062 [D loss: -0.008 R -0.014 F -0.003] [G loss: 0.010]  0:15:16.823765
3063 [D loss: 0.002 R -0.013 F 0.016] [G loss: 0.008]  0:15:17.270971
3064 [D loss: -0.011 R -0.022 F 0.001] [G loss: 0.019]  0:15:17.738022
3065 [D loss: -0.012 R -0.018 F -0.005] [G loss: 0.014]  0:15:18.168575
3066 [D loss: -0.011 R -0.027 F 0.006] [G loss: 0.015]  0:15:18.620347
3067 [D loss: -0.010 R -0.030 F 0.010] [G loss: 0.010]  0:15:19.050201
3068 [D loss: -0.012 R -0.024 F 0.001] [G loss: 0.007]  0:15:19.488148
3069 [D loss: -0.011 R -0.037 F 0.015] [G loss: 0.009]  0:15:19.904480
3070 [D loss: -0.016 R -0.039 F 0.008] [G loss: 0.005]  0:15:20.337087
3071 [D loss: -0.014 R -0.033 F 0.005] [G loss: 0.004]  0:15:20.776834
3072 [D loss: -0.010 R -0.039 F 0.018] [G loss: -0.006]  0:15:21.183906
3073 [D loss: -0.013 R -0.039 F 0.013] [G loss: -0.017]  0:15:21.618263
3074 [D loss: -0.022 R -0.047 F 0.004] [G loss: -0.022]  0:15:22.043881
3075 [D loss: -0.009 R -0.028 F 0.010] [G loss: -0.012]  0:15:22.484427
3076 [D loss: -0.004 R -0.036 F 0.028] [G loss: -0.016]  0:15:22.938211
3077 [D loss: -0.004 R -0.041 F 0.033] [G loss: -0.008]  0:15:23.387160
3078 [D loss: -0.007 R -0.031 F 0.017] [G loss: -0.004]  0:15:23.832658
3079 [D loss: -0.009 R -0.028 F 0.011] [G loss: 0.015]  0:15:24.248106
3080 [D loss: -0.023 R -0.031 F -0.015] [G loss: 0.019]  0:15:24.713658
3081 [D loss: -0.025 R -0.037 F -0.014] [G loss: 0.015]  0:15:25.184389
3082 [D loss: -0.025 R -0.047 F -0.003] [G loss: 0.005]  0:15:25.638730
3083 [D loss: -0.014 R -0.044 F 0.015] [G loss: -0.009]  0:15:26.072444
3084 [D loss: -0.003 R -0.038 F 0.032] [G loss: -0.010]  0:15:26.485683
3085 [D loss: -0.012 R -0.047 F 0.024] [G loss: -0.007]  0:15:26.923055
3086 [D loss: -0.016 R -0.049 F 0.018] [G loss: -0.001]  0:15:27.379378
3087 [D loss: -0.014 R -0.046 F 0.018] [G loss: 0.003]  0:15:27.816016
3088 [D loss: -0.016 R -0.048 F 0.016] [G loss: -0.005]  0:15:28.244263
3089 [D loss: -0.011 R -0.042 F 0.021] [G loss: -0.010]  0:15:28.680447
3090 [D loss: -0.006 R -0.041 F 0.029] [G loss: -0.020]  0:15:29.114170
3091 [D loss: -0.007 R -0.043 F 0.029] [G loss: -0.018]  0:15:29.547450
3092 [D loss: -0.012 R -0.042 F 0.018] [G loss: -0.009]  0:15:29.991676
3093 [D loss: -0.014 R -0.048 F 0.020] [G loss: 0.007]  0:15:30.433550
3094 [D loss: -0.017 R -0.039 F 0.005] [G loss: 0.010]  0:15:30.878576
3095 [D loss: -0.010 R -0.032 F 0.013] [G loss: 0.008]  0:15:31.313356
3096 [D loss: -0.019 R -0.037 F -0.002] [G loss: -0.002]  0:15:31.755156
3097 [D loss: -0.009 R -0.022 F 0.005] [G loss: 0.001]  0:15:32.195386
3098 [D loss: -0.009 R -0.026 F 0.008] [G loss: -0.002]  0:15:32.625572
3099 [D loss: -0.011 R -0.026 F 0.003] [G loss: 0.014]  0:15:33.039584
3100 [D loss: -0.018 R -0.027 F -0.009] [G loss: 0.027]  0:15:33.489070
3101 [D loss: -0.020 R -0.027 F -0.014] [G loss: 0.026]  0:15:33.935078
3102 [D loss: -0.009 R -0.014 F -0.004] [G loss: 0.012]  0:15:34.380902
3103 [D loss: -0.004 R -0.017 F 0.008] [G loss: 0.003]  0:15:34.849357
3104 [D loss: -0.004 R -0.021 F 0.013] [G loss: 0.003]  0:15:35.300476
3105 [D loss: -0.003 R -0.020 F 0.014] [G loss: 0.009]  0:15:35.731862
3106 [D loss: -0.013 R -0.025 F -0.002] [G loss: 0.025]  0:15:36.154874
3107 [D loss: -0.023 R -0.035 F -0.011] [G loss: 0.027]  0:15:36.633145
3108 [D loss: -0.010 R -0.022 F 0.002] [G loss: 0.028]  0:15:37.080205
3109 [D loss: -0.009 R -0.023 F 0.006] [G loss: 0.007]  0:15:37.501353
3110 [D loss: -0.010 R -0.034 F 0.015] [G loss: -0.002]  0:15:37.943388
3111 [D loss: -0.007 R -0.041 F 0.026] [G loss: -0.009]  0:15:38.353326
3112 [D loss: -0.008 R -0.035 F 0.019] [G loss: -0.002]  0:15:38.797953
3113 [D loss: -0.014 R -0.042 F 0.014] [G loss: 0.001]  0:15:39.239299
3114 [D loss: -0.017 R -0.039 F 0.005] [G loss: 0.012]  0:15:39.706329
3115 [D loss: -0.014 R -0.043 F 0.014] [G loss: 0.012]  0:15:40.136584
3116 [D loss: -0.014 R -0.035 F 0.006] [G loss: 0.012]  0:15:40.592465
3117 [D loss: -0.008 R -0.038 F 0.023] [G loss: -0.011]  0:15:41.020674
3118 [D loss: -0.010 R -0.031 F 0.010] [G loss: -0.017]  0:15:41.469152
3119 [D loss: -0.012 R -0.029 F 0.005] [G loss: -0.004]  0:15:41.884749
3120 [D loss: -0.016 R -0.036 F 0.004] [G loss: -0.006]  0:15:42.323389
3121 [D loss: -0.004 R -0.030 F 0.022] [G loss: 0.005]  0:15:42.751185
3122 [D loss: -0.011 R -0.029 F 0.007] [G loss: 0.014]  0:15:43.183543
3123 [D loss: -0.019 R -0.038 F 0.001] [G loss: 0.018]  0:15:43.626923
3124 [D loss: -0.013 R -0.037 F 0.010] [G loss: 0.010]  0:15:44.051629
3125 [D loss: -0.013 R -0.038 F 0.011] [G loss: 0.002]  0:15:44.765549
3126 [D loss: -0.006 R -0.031 F 0.020] [G loss: -0.004]  0:15:45.186497
3127 [D loss: -0.014 R -0.047 F 0.019] [G loss: -0.015]  0:15:45.640857
3128 [D loss: -0.008 R -0.038 F 0.022] [G loss: -0.011]  0:15:46.081604
3129 [D loss: -0.007 R -0.040 F 0.025] [G loss: -0.005]  0:15:46.508893
3130 [D loss: -0.013 R -0.049 F 0.024] [G loss: -0.004]  0:15:46.940219
3131 [D loss: -0.017 R -0.051 F 0.016] [G loss: -0.006]  0:15:47.387664
3132 [D loss: -0.013 R -0.047 F 0.021] [G loss: -0.015]  0:15:47.851852
3133 [D loss: -0.006 R -0.042 F 0.030] [G loss: -0.011]  0:15:48.299073
3134 [D loss: -0.009 R -0.048 F 0.029] [G loss: -0.010]  0:15:48.745970
3135 [D loss: -0.010 R -0.045 F 0.026] [G loss: -0.009]  0:15:49.192444
3136 [D loss: -0.008 R -0.039 F 0.023] [G loss: -0.005]  0:15:49.637922
3137 [D loss: -0.016 R -0.046 F 0.015] [G loss: -0.008]  0:15:50.094614
3138 [D loss: -0.004 R -0.039 F 0.031] [G loss: -0.010]  0:15:50.538986
3139 [D loss: -0.016 R -0.050 F 0.018] [G loss: -0.008]  0:15:51.003325
3140 [D loss: -0.011 R -0.038 F 0.016] [G loss: -0.001]  0:15:51.441513
3141 [D loss: -0.014 R -0.040 F 0.011] [G loss: 0.003]  0:15:51.926588
3142 [D loss: -0.008 R -0.031 F 0.016] [G loss: -0.007]  0:15:52.355471
3143 [D loss: -0.006 R -0.037 F 0.026] [G loss: -0.011]  0:15:52.803521
3144 [D loss: -0.006 R -0.033 F 0.021] [G loss: 0.001]  0:15:53.273887
3145 [D loss: -0.010 R -0.030 F 0.009] [G loss: 0.008]  0:15:53.712818
3146 [D loss: -0.015 R -0.027 F -0.003] [G loss: 0.012]  0:15:54.151477
3147 [D loss: -0.030 R -0.041 F -0.020] [G loss: 0.009]  0:15:54.605861
3148 [D loss: -0.007 R -0.024 F 0.010] [G loss: 0.002]  0:15:55.061905
3149 [D loss: -0.012 R -0.028 F 0.004] [G loss: 0.005]  0:15:55.521862
3150 [D loss: -0.009 R -0.025 F 0.007] [G loss: 0.004]  0:15:55.991102
3151 [D loss: -0.009 R -0.024 F 0.007] [G loss: 0.006]  0:15:56.448614
3152 [D loss: -0.011 R -0.031 F 0.009] [G loss: 0.001]  0:15:56.915217
3153 [D loss: -0.018 R -0.044 F 0.008] [G loss: -0.005]  0:15:57.337100
3154 [D loss: -0.019 R -0.045 F 0.007] [G loss: 0.008]  0:15:57.766514
3155 [D loss: -0.003 R -0.029 F 0.023] [G loss: -0.001]  0:15:58.212281
3156 [D loss: -0.011 R -0.048 F 0.026] [G loss: -0.015]  0:15:58.634466
3157 [D loss: -0.012 R -0.041 F 0.017] [G loss: -0.013]  0:15:59.050653
3158 [D loss: -0.007 R -0.044 F 0.031] [G loss: -0.008]  0:15:59.492150
3159 [D loss: -0.013 R -0.047 F 0.021] [G loss: -0.009]  0:15:59.959519
3160 [D loss: -0.011 R -0.041 F 0.018] [G loss: -0.002]  0:16:00.399307
3161 [D loss: -0.011 R -0.040 F 0.017] [G loss: -0.003]  0:16:00.833128
3162 [D loss: -0.008 R -0.040 F 0.024] [G loss: -0.009]  0:16:01.274757
3163 [D loss: -0.005 R -0.040 F 0.030] [G loss: -0.012]  0:16:01.713856
3164 [D loss: -0.006 R -0.042 F 0.031] [G loss: -0.009]  0:16:02.152316
3165 [D loss: -0.015 R -0.041 F 0.012] [G loss: -0.001]  0:16:02.594360
3166 [D loss: -0.009 R -0.036 F 0.018] [G loss: -0.003]  0:16:03.054009
3167 [D loss: -0.016 R -0.048 F 0.015] [G loss: -0.005]  0:16:03.501714
3168 [D loss: -0.012 R -0.029 F 0.005] [G loss: -0.003]  0:16:03.941511
3169 [D loss: -0.017 R -0.034 F -0.000] [G loss: 0.001]  0:16:04.374553
3170 [D loss: -0.011 R -0.029 F 0.008] [G loss: 0.005]  0:16:04.813002
3171 [D loss: -0.011 R -0.033 F 0.011] [G loss: -0.000]  0:16:05.250136
3172 [D loss: -0.007 R -0.033 F 0.019] [G loss: -0.001]  0:16:05.676530
3173 [D loss: -0.012 R -0.029 F 0.004] [G loss: 0.008]  0:16:06.140802
3174 [D loss: -0.010 R -0.026 F 0.006] [G loss: 0.010]  0:16:06.582024
3175 [D loss: -0.013 R -0.028 F 0.002] [G loss: 0.007]  0:16:07.006191
3176 [D loss: -0.006 R -0.022 F 0.009] [G loss: 0.010]  0:16:07.442226
3177 [D loss: -0.010 R -0.028 F 0.009] [G loss: 0.002]  0:16:07.879476
3178 [D loss: -0.012 R -0.032 F 0.009] [G loss: -0.003]  0:16:08.315455
3179 [D loss: -0.017 R -0.045 F 0.010] [G loss: -0.001]  0:16:08.738324
3180 [D loss: -0.009 R -0.039 F 0.021] [G loss: -0.007]  0:16:09.159024
3181 [D loss: -0.007 R -0.036 F 0.022] [G loss: -0.006]  0:16:09.609046
3182 [D loss: -0.016 R -0.047 F 0.015] [G loss: -0.000]  0:16:10.042456
3183 [D loss: -0.009 R -0.035 F 0.016] [G loss: -0.004]  0:16:10.511073
3184 [D loss: -0.009 R -0.028 F 0.009] [G loss: 0.004]  0:16:10.969426
3185 [D loss: -0.013 R -0.032 F 0.006] [G loss: 0.014]  0:16:11.387555
3186 [D loss: -0.015 R -0.032 F 0.001] [G loss: 0.013]  0:16:11.825879
3187 [D loss: -0.011 R -0.030 F 0.008] [G loss: 0.012]  0:16:12.263230
3188 [D loss: -0.012 R -0.024 F 0.000] [G loss: 0.007]  0:16:12.705037
3189 [D loss: -0.009 R -0.024 F 0.006] [G loss: 0.007]  0:16:13.137573
3190 [D loss: -0.009 R -0.023 F 0.006] [G loss: 0.008]  0:16:13.601812
3191 [D loss: -0.009 R -0.019 F 0.001] [G loss: 0.014]  0:16:14.040289
3192 [D loss: -0.010 R -0.030 F 0.010] [G loss: 0.014]  0:16:14.484400
3193 [D loss: -0.017 R -0.034 F -0.001] [G loss: 0.002]  0:16:14.956479
3194 [D loss: -0.009 R -0.025 F 0.007] [G loss: 0.007]  0:16:15.397680
3195 [D loss: -0.001 R -0.014 F 0.012] [G loss: 0.010]  0:16:15.830544
3196 [D loss: -0.017 R -0.023 F -0.012] [G loss: 0.021]  0:16:16.286449
3197 [D loss: -0.009 R -0.004 F -0.013] [G loss: 0.020]  0:16:16.769583
3198 [D loss: -0.007 R -0.022 F 0.008] [G loss: -0.007]  0:16:17.274046
3199 [D loss: -0.009 R -0.041 F 0.023] [G loss: -0.010]  0:16:17.691587
3200 [D loss: -0.014 R -0.045 F 0.016] [G loss: 0.003]  0:16:18.165651
3201 [D loss: -0.015 R -0.049 F 0.019] [G loss: -0.003]  0:16:18.613678
3202 [D loss: -0.012 R -0.051 F 0.027] [G loss: -0.010]  0:16:19.059454
3203 [D loss: -0.012 R -0.056 F 0.032] [G loss: -0.011]  0:16:19.516409
3204 [D loss: -0.007 R -0.040 F 0.025] [G loss: -0.011]  0:16:19.962230
3205 [D loss: -0.013 R -0.043 F 0.017] [G loss: -0.011]  0:16:20.414081
3206 [D loss: -0.015 R -0.039 F 0.010] [G loss: -0.003]  0:16:20.869270
3207 [D loss: -0.013 R -0.029 F 0.004] [G loss: 0.011]  0:16:21.326112
3208 [D loss: -0.010 R -0.019 F -0.002] [G loss: 0.018]  0:16:21.747014
3209 [D loss: -0.009 R -0.018 F -0.000] [G loss: 0.017]  0:16:22.215203
3210 [D loss: -0.010 R -0.024 F 0.004] [G loss: 0.004]  0:16:22.651660
3211 [D loss: -0.007 R -0.027 F 0.014] [G loss: -0.003]  0:16:23.074237
3212 [D loss: -0.014 R -0.032 F 0.004] [G loss: 0.007]  0:16:23.546803
3213 [D loss: -0.010 R -0.032 F 0.013] [G loss: 0.007]  0:16:23.994579
3214 [D loss: -0.009 R -0.029 F 0.011] [G loss: -0.001]  0:16:24.441253
3215 [D loss: -0.007 R -0.027 F 0.013] [G loss: -0.004]  0:16:24.870216
3216 [D loss: -0.008 R -0.038 F 0.022] [G loss: -0.007]  0:16:25.311638
3217 [D loss: -0.008 R -0.039 F 0.024] [G loss: -0.010]  0:16:25.769064
3218 [D loss: -0.012 R -0.041 F 0.018] [G loss: -0.002]  0:16:26.234374
3219 [D loss: -0.014 R -0.040 F 0.012] [G loss: 0.001]  0:16:26.694663
3220 [D loss: -0.015 R -0.046 F 0.017] [G loss: 0.003]  0:16:27.112541
3221 [D loss: -0.013 R -0.036 F 0.010] [G loss: -0.004]  0:16:27.573891
3222 [D loss: -0.010 R -0.037 F 0.017] [G loss: -0.005]  0:16:28.006514
3223 [D loss: -0.012 R -0.046 F 0.021] [G loss: -0.012]  0:16:28.457949
3224 [D loss: -0.010 R -0.044 F 0.023] [G loss: -0.013]  0:16:28.924468
3225 [D loss: -0.014 R -0.042 F 0.015] [G loss: -0.007]  0:16:29.358301
3226 [D loss: -0.015 R -0.040 F 0.011] [G loss: -0.006]  0:16:29.782636
3227 [D loss: -0.005 R -0.031 F 0.020] [G loss: 0.000]  0:16:30.214826
3228 [D loss: -0.012 R -0.037 F 0.013] [G loss: 0.001]  0:16:30.673338
3229 [D loss: -0.018 R -0.039 F 0.002] [G loss: 0.002]  0:16:31.090595
3230 [D loss: -0.015 R -0.025 F -0.005] [G loss: -0.003]  0:16:31.520576
3231 [D loss: -0.008 R -0.036 F 0.019] [G loss: -0.011]  0:16:31.970538
3232 [D loss: -0.010 R -0.048 F 0.028] [G loss: -0.018]  0:16:32.392537
3233 [D loss: -0.007 R -0.042 F 0.029] [G loss: -0.017]  0:16:32.824012
3234 [D loss: -0.002 R -0.034 F 0.031] [G loss: -0.010]  0:16:33.273167
3235 [D loss: -0.010 R -0.033 F 0.012] [G loss: 0.006]  0:16:33.710713
3236 [D loss: -0.011 R -0.039 F 0.017] [G loss: 0.007]  0:16:34.128710
3237 [D loss: -0.012 R -0.032 F 0.008] [G loss: 0.006]  0:16:34.564769
3238 [D loss: -0.013 R -0.030 F 0.005] [G loss: 0.008]  0:16:34.983189
3239 [D loss: -0.011 R -0.032 F 0.010] [G loss: 0.010]  0:16:35.420870
3240 [D loss: -0.014 R -0.033 F 0.006] [G loss: 0.004]  0:16:35.868603
3241 [D loss: -0.012 R -0.032 F 0.009] [G loss: 0.001]  0:16:36.284528
3242 [D loss: -0.007 R -0.027 F 0.012] [G loss: 0.004]  0:16:36.729944
3243 [D loss: -0.006 R -0.023 F 0.011] [G loss: 0.004]  0:16:37.165112
3244 [D loss: -0.014 R -0.035 F 0.006] [G loss: 0.006]  0:16:37.599081
3245 [D loss: -0.011 R -0.020 F -0.002] [G loss: 0.013]  0:16:38.044670
3246 [D loss: -0.012 R -0.017 F -0.007] [G loss: 0.024]  0:16:38.502927
3247 [D loss: -0.013 R -0.025 F -0.001] [G loss: 0.019]  0:16:38.962842
3248 [D loss: -0.005 R -0.013 F 0.002] [G loss: 0.017]  0:16:39.386395
3249 [D loss: -0.009 R -0.016 F -0.002] [G loss: 0.010]  0:16:39.840405
3250 [D loss: -0.010 R -0.013 F -0.008] [G loss: 0.016]  0:16:40.273683
3251 [D loss: -0.009 R -0.029 F 0.011] [G loss: 0.008]  0:16:40.724413
3252 [D loss: -0.012 R -0.030 F 0.005] [G loss: 0.011]  0:16:41.149301
3253 [D loss: -0.007 R -0.030 F 0.016] [G loss: -0.004]  0:16:41.576987
3254 [D loss: -0.012 R -0.038 F 0.014] [G loss: -0.006]  0:16:42.016545
3255 [D loss: -0.006 R -0.031 F 0.019] [G loss: 0.001]  0:16:42.432396
3256 [D loss: -0.010 R -0.036 F 0.015] [G loss: -0.000]  0:16:42.882276
3257 [D loss: -0.014 R -0.036 F 0.008] [G loss: 0.003]  0:16:43.314509
3258 [D loss: -0.009 R -0.031 F 0.014] [G loss: 0.016]  0:16:43.772893
3259 [D loss: -0.013 R -0.028 F 0.001] [G loss: 0.007]  0:16:44.215579
3260 [D loss: -0.007 R -0.020 F 0.007] [G loss: 0.008]  0:16:44.635383
3261 [D loss: -0.007 R -0.025 F 0.011] [G loss: 0.004]  0:16:45.102999
3262 [D loss: -0.010 R -0.030 F 0.010] [G loss: 0.003]  0:16:45.543533
3263 [D loss: -0.013 R -0.030 F 0.004] [G loss: 0.005]  0:16:45.985880
3264 [D loss: -0.007 R -0.022 F 0.009] [G loss: 0.009]  0:16:46.467214
3265 [D loss: -0.010 R -0.028 F 0.007] [G loss: 0.010]  0:16:46.919889
3266 [D loss: -0.012 R -0.037 F 0.014] [G loss: 0.007]  0:16:47.377244
3267 [D loss: -0.011 R -0.037 F 0.015] [G loss: 0.002]  0:16:47.827407
3268 [D loss: -0.006 R -0.024 F 0.012] [G loss: -0.000]  0:16:48.276147
3269 [D loss: -0.014 R -0.034 F 0.005] [G loss: 0.002]  0:16:48.698896
3270 [D loss: -0.013 R -0.036 F 0.010] [G loss: 0.003]  0:16:49.120845
3271 [D loss: -0.010 R -0.037 F 0.017] [G loss: -0.004]  0:16:49.570567
3272 [D loss: -0.006 R -0.024 F 0.012] [G loss: 0.008]  0:16:50.011789
3273 [D loss: -0.010 R -0.029 F 0.008] [G loss: 0.004]  0:16:50.436407
3274 [D loss: -0.008 R -0.026 F 0.010] [G loss: 0.005]  0:16:50.905340
3275 [D loss: -0.007 R -0.015 F -0.000] [G loss: 0.006]  0:16:51.356981
3276 [D loss: -0.015 R -0.026 F -0.004] [G loss: 0.015]  0:16:51.806121
3277 [D loss: -0.013 R -0.018 F -0.008] [G loss: 0.020]  0:16:52.245014
3278 [D loss: -0.015 R -0.024 F -0.005] [G loss: 0.018]  0:16:52.676277
3279 [D loss: -0.010 R -0.016 F -0.003] [G loss: 0.014]  0:16:53.154441
3280 [D loss: -0.006 R -0.018 F 0.007] [G loss: 0.011]  0:16:53.603378
3281 [D loss: -0.005 R -0.020 F 0.011] [G loss: 0.004]  0:16:54.043713
3282 [D loss: -0.009 R -0.023 F 0.006] [G loss: 0.012]  0:16:54.460362
3283 [D loss: -0.007 R -0.024 F 0.010] [G loss: 0.002]  0:16:54.897629
3284 [D loss: -0.010 R -0.031 F 0.010] [G loss: 0.000]  0:16:55.360703
3285 [D loss: -0.009 R -0.028 F 0.009] [G loss: -0.006]  0:16:55.803398
3286 [D loss: -0.011 R -0.044 F 0.022] [G loss: -0.011]  0:16:56.223262
3287 [D loss: -0.014 R -0.051 F 0.022] [G loss: -0.004]  0:16:56.679766
3288 [D loss: -0.009 R -0.038 F 0.019] [G loss: -0.000]  0:16:57.101931
3289 [D loss: -0.016 R -0.046 F 0.015] [G loss: -0.004]  0:16:57.600191
3290 [D loss: -0.002 R -0.033 F 0.029] [G loss: -0.002]  0:16:58.034447
3291 [D loss: -0.016 R -0.038 F 0.006] [G loss: 0.007]  0:16:58.478482
3292 [D loss: -0.015 R -0.037 F 0.008] [G loss: 0.001]  0:16:58.903831
3293 [D loss: -0.012 R -0.039 F 0.015] [G loss: -0.007]  0:16:59.341350
3294 [D loss: -0.003 R -0.025 F 0.018] [G loss: -0.005]  0:16:59.797076
3295 [D loss: -0.021 R -0.044 F 0.003] [G loss: 0.000]  0:17:00.235269
3296 [D loss: -0.019 R -0.029 F -0.008] [G loss: -0.006]  0:17:00.685284
3297 [D loss: -0.009 R -0.032 F 0.015] [G loss: 0.011]  0:17:01.104971
3298 [D loss: 0.003 R -0.012 F 0.018] [G loss: 0.012]  0:17:01.826300
3299 [D loss: -0.004 R -0.021 F 0.012] [G loss: 0.005]  0:17:02.268515
3300 [D loss: -0.009 R -0.034 F 0.016] [G loss: -0.006]  0:17:02.692113
3301 [D loss: -0.007 R -0.037 F 0.023] [G loss: -0.020]  0:17:03.141247
3302 [D loss: -0.016 R -0.034 F 0.002] [G loss: -0.017]  0:17:03.594362
3303 [D loss: -0.013 R -0.033 F 0.006] [G loss: 0.008]  0:17:04.039148
3304 [D loss: -0.015 R -0.049 F 0.020] [G loss: -0.004]  0:17:04.466082
3305 [D loss: -0.025 R -0.043 F -0.007] [G loss: 0.005]  0:17:04.923204
3306 [D loss: -0.024 R -0.041 F -0.006] [G loss: 0.000]  0:17:05.365922
3307 [D loss: -0.022 R -0.049 F 0.005] [G loss: -0.005]  0:17:05.808493
3308 [D loss: -0.009 R -0.050 F 0.032] [G loss: -0.013]  0:17:06.230023
3309 [D loss: -0.011 R -0.055 F 0.032] [G loss: -0.009]  0:17:06.652325
3310 [D loss: -0.010 R -0.039 F 0.018] [G loss: 0.009]  0:17:07.099963
3311 [D loss: -0.010 R -0.036 F 0.016] [G loss: -0.009]  0:17:07.528070
3312 [D loss: -0.011 R -0.039 F 0.017] [G loss: -0.017]  0:17:07.990578
3313 [D loss: -0.015 R -0.046 F 0.016] [G loss: -0.026]  0:17:08.414731
3314 [D loss: -0.019 R -0.039 F -0.000] [G loss: -0.016]  0:17:08.874284
3315 [D loss: -0.030 R -0.064 F 0.004] [G loss: -0.025]  0:17:09.316567
3316 [D loss: 0.001 R -0.053 F 0.055] [G loss: -0.030]  0:17:09.744176
3317 [D loss: -0.003 R -0.047 F 0.042] [G loss: -0.025]  0:17:10.193334
3318 [D loss: -0.016 R -0.045 F 0.012] [G loss: -0.004]  0:17:10.636593
3319 [D loss: -0.023 R -0.031 F -0.016] [G loss: 0.014]  0:17:11.079497
3320 [D loss: -0.017 R -0.032 F -0.003] [G loss: 0.018]  0:17:11.523120
3321 [D loss: -0.004 R -0.028 F 0.020] [G loss: 0.016]  0:17:11.977356
3322 [D loss: -0.003 R -0.017 F 0.011] [G loss: 0.016]  0:17:12.425614
3323 [D loss: -0.013 R -0.022 F -0.004] [G loss: 0.023]  0:17:12.895161
3324 [D loss: -0.013 R -0.022 F -0.005] [G loss: 0.017]  0:17:13.334427
3325 [D loss: -0.009 R -0.020 F 0.001] [G loss: 0.010]  0:17:13.772774
3326 [D loss: -0.013 R -0.029 F 0.003] [G loss: 0.009]  0:17:14.196473
3327 [D loss: -0.008 R -0.017 F 0.002] [G loss: 0.014]  0:17:14.619953
3328 [D loss: -0.019 R -0.029 F -0.008] [G loss: 0.022]  0:17:15.077441
3329 [D loss: -0.014 R -0.022 F -0.006] [G loss: 0.018]  0:17:15.562899
3330 [D loss: -0.014 R -0.033 F 0.006] [G loss: 0.008]  0:17:16.006670
3331 [D loss: -0.011 R -0.029 F 0.007] [G loss: 0.004]  0:17:16.450881
3332 [D loss: -0.014 R -0.029 F 0.001] [G loss: 0.007]  0:17:16.884079
3333 [D loss: -0.011 R -0.027 F 0.005] [G loss: 0.010]  0:17:17.333710
3334 [D loss: -0.007 R -0.026 F 0.013] [G loss: 0.011]  0:17:17.781123
3335 [D loss: -0.016 R -0.037 F 0.004] [G loss: 0.012]  0:17:18.223871
3336 [D loss: -0.014 R -0.041 F 0.013] [G loss: 0.004]  0:17:18.649780
3337 [D loss: -0.005 R -0.027 F 0.016] [G loss: -0.004]  0:17:19.086862
3338 [D loss: -0.013 R -0.039 F 0.013] [G loss: 0.001]  0:17:19.540628
3339 [D loss: -0.010 R -0.033 F 0.014] [G loss: -0.001]  0:17:20.019275
3340 [D loss: -0.006 R -0.026 F 0.013] [G loss: -0.000]  0:17:20.465457
3341 [D loss: -0.008 R -0.030 F 0.014] [G loss: -0.001]  0:17:20.949933
3342 [D loss: -0.014 R -0.036 F 0.007] [G loss: 0.002]  0:17:21.400016
3343 [D loss: -0.007 R -0.031 F 0.017] [G loss: 0.004]  0:17:21.814240
3344 [D loss: -0.014 R -0.037 F 0.010] [G loss: 0.003]  0:17:22.294802
3345 [D loss: -0.015 R -0.034 F 0.004] [G loss: -0.001]  0:17:22.733739
3346 [D loss: -0.009 R -0.023 F 0.006] [G loss: -0.007]  0:17:23.177412
3347 [D loss: -0.017 R -0.039 F 0.005] [G loss: -0.010]  0:17:23.612147
3348 [D loss: -0.011 R -0.033 F 0.012] [G loss: -0.003]  0:17:24.039693
3349 [D loss: -0.011 R -0.034 F 0.012] [G loss: 0.006]  0:17:24.487534
3350 [D loss: -0.007 R -0.030 F 0.015] [G loss: 0.002]  0:17:24.972288
3351 [D loss: -0.012 R -0.031 F 0.008] [G loss: 0.007]  0:17:25.432665
3352 [D loss: -0.003 R -0.013 F 0.007] [G loss: 0.002]  0:17:25.871042
3353 [D loss: -0.022 R -0.040 F -0.004] [G loss: 0.008]  0:17:26.311649
3354 [D loss: -0.012 R -0.025 F 0.002] [G loss: -0.004]  0:17:26.738717
3355 [D loss: -0.008 R -0.027 F 0.012] [G loss: -0.008]  0:17:27.181475
3356 [D loss: -0.015 R -0.036 F 0.007] [G loss: -0.004]  0:17:27.643169
3357 [D loss: -0.007 R -0.043 F 0.029] [G loss: -0.005]  0:17:28.075011
3358 [D loss: -0.011 R -0.051 F 0.028] [G loss: -0.014]  0:17:28.539592
3359 [D loss: -0.009 R -0.048 F 0.030] [G loss: -0.013]  0:17:28.983572
3360 [D loss: -0.011 R -0.043 F 0.021] [G loss: -0.004]  0:17:29.417863
3361 [D loss: -0.016 R -0.035 F 0.002] [G loss: 0.011]  0:17:29.860733
3362 [D loss: -0.015 R -0.034 F 0.004] [G loss: 0.009]  0:17:30.308823
3363 [D loss: -0.027 R -0.041 F -0.012] [G loss: -0.005]  0:17:30.749839
3364 [D loss: -0.020 R -0.044 F 0.003] [G loss: -0.011]  0:17:31.186590
3365 [D loss: -0.012 R -0.044 F 0.021] [G loss: -0.018]  0:17:31.643478
3366 [D loss: -0.014 R -0.048 F 0.021] [G loss: -0.011]  0:17:32.094211
3367 [D loss: -0.008 R -0.043 F 0.026] [G loss: -0.001]  0:17:32.539360
3368 [D loss: -0.019 R -0.053 F 0.015] [G loss: -0.003]  0:17:33.003305
3369 [D loss: -0.008 R -0.033 F 0.017] [G loss: -0.005]  0:17:33.450952
3370 [D loss: -0.007 R -0.035 F 0.020] [G loss: -0.002]  0:17:33.910831
3371 [D loss: -0.003 R -0.030 F 0.023] [G loss: 0.000]  0:17:34.376638
3372 [D loss: -0.014 R -0.032 F 0.004] [G loss: 0.002]  0:17:34.819325
3373 [D loss: -0.012 R -0.020 F -0.004] [G loss: 0.013]  0:17:35.249032
3374 [D loss: -0.016 R -0.030 F -0.002] [G loss: 0.012]  0:17:35.697174
3375 [D loss: -0.006 R -0.023 F 0.012] [G loss: 0.003]  0:17:36.136503
3376 [D loss: -0.011 R -0.031 F 0.009] [G loss: 0.003]  0:17:36.589853
3377 [D loss: -0.016 R -0.032 F 0.001] [G loss: 0.001]  0:17:37.033968
3378 [D loss: -0.013 R -0.034 F 0.008] [G loss: 0.007]  0:17:37.497456
3379 [D loss: -0.010 R -0.028 F 0.008] [G loss: 0.004]  0:17:37.946488
3380 [D loss: -0.019 R -0.040 F 0.002] [G loss: -0.005]  0:17:38.413253
3381 [D loss: -0.011 R -0.037 F 0.014] [G loss: -0.003]  0:17:38.833549
3382 [D loss: -0.013 R -0.033 F 0.007] [G loss: -0.009]  0:17:39.275200
3383 [D loss: -0.007 R -0.033 F 0.019] [G loss: -0.010]  0:17:39.712204
3384 [D loss: -0.008 R -0.039 F 0.023] [G loss: -0.005]  0:17:40.151107
3385 [D loss: -0.008 R -0.026 F 0.010] [G loss: 0.004]  0:17:40.587274
3386 [D loss: -0.010 R -0.031 F 0.012] [G loss: 0.010]  0:17:41.033267
3387 [D loss: -0.014 R -0.029 F -0.000] [G loss: 0.016]  0:17:41.451063
3388 [D loss: -0.017 R -0.038 F 0.004] [G loss: 0.013]  0:17:41.892444
3389 [D loss: -0.006 R -0.021 F 0.010] [G loss: 0.006]  0:17:42.345959
3390 [D loss: -0.002 R -0.033 F 0.028] [G loss: -0.002]  0:17:42.782293
3391 [D loss: -0.003 R -0.019 F 0.013] [G loss: -0.003]  0:17:43.230237
3392 [D loss: -0.007 R -0.030 F 0.017] [G loss: 0.008]  0:17:43.660087
3393 [D loss: -0.010 R -0.030 F 0.010] [G loss: 0.007]  0:17:44.095093
3394 [D loss: -0.013 R -0.042 F 0.016] [G loss: 0.005]  0:17:44.528412
3395 [D loss: -0.006 R -0.030 F 0.018] [G loss: 0.001]  0:17:44.968991
3396 [D loss: -0.012 R -0.034 F 0.010] [G loss: 0.000]  0:17:45.414057
3397 [D loss: -0.008 R -0.029 F 0.012] [G loss: -0.005]  0:17:45.847688
3398 [D loss: -0.012 R -0.037 F 0.013] [G loss: 0.004]  0:17:46.263937
3399 [D loss: -0.016 R -0.036 F 0.003] [G loss: 0.003]  0:17:46.759129
3400 [D loss: -0.015 R -0.029 F -0.002] [G loss: 0.010]  0:17:47.190061
3401 [D loss: -0.009 R -0.019 F 0.002] [G loss: 0.010]  0:17:47.634367
3402 [D loss: -0.010 R -0.024 F 0.004] [G loss: 0.012]  0:17:48.057349
3403 [D loss: -0.006 R -0.013 F 0.002] [G loss: 0.007]  0:17:48.545700
3404 [D loss: -0.009 R -0.017 F -0.000] [G loss: 0.002]  0:17:48.977113
3405 [D loss: -0.022 R -0.022 F -0.022] [G loss: 0.005]  0:17:49.415631
3406 [D loss: -0.021 R -0.033 F -0.008] [G loss: 0.001]  0:17:49.862221
3407 [D loss: -0.008 R -0.037 F 0.021] [G loss: 0.004]  0:17:50.305766
3408 [D loss: -0.017 R -0.043 F 0.008] [G loss: -0.002]  0:17:50.741958
3409 [D loss: -0.009 R -0.036 F 0.018] [G loss: 0.002]  0:17:51.167990
3410 [D loss: -0.008 R -0.041 F 0.024] [G loss: -0.014]  0:17:51.614196
3411 [D loss: -0.013 R -0.043 F 0.018] [G loss: -0.016]  0:17:52.042683
3412 [D loss: -0.006 R -0.034 F 0.022] [G loss: -0.012]  0:17:52.486824
3413 [D loss: -0.012 R -0.042 F 0.018] [G loss: -0.007]  0:17:52.934669
3414 [D loss: -0.010 R -0.043 F 0.023] [G loss: -0.002]  0:17:53.368644
3415 [D loss: -0.014 R -0.040 F 0.012] [G loss: 0.004]  0:17:53.802775
3416 [D loss: -0.009 R -0.034 F 0.017] [G loss: -0.011]  0:17:54.234502
3417 [D loss: -0.005 R -0.034 F 0.025] [G loss: -0.010]  0:17:54.674486
3418 [D loss: -0.010 R -0.036 F 0.017] [G loss: -0.012]  0:17:55.115286
3419 [D loss: -0.012 R -0.037 F 0.013] [G loss: -0.007]  0:17:55.548884
3420 [D loss: -0.010 R -0.035 F 0.016] [G loss: 0.005]  0:17:55.996999
3421 [D loss: -0.010 R -0.034 F 0.015] [G loss: 0.013]  0:17:56.461693
3422 [D loss: -0.017 R -0.038 F 0.004] [G loss: 0.009]  0:17:56.933336
3423 [D loss: -0.003 R -0.023 F 0.018] [G loss: 0.005]  0:17:57.370813
3424 [D loss: -0.003 R -0.022 F 0.016] [G loss: 0.000]  0:17:57.847385
3425 [D loss: -0.012 R -0.041 F 0.017] [G loss: -0.006]  0:17:58.304751
3426 [D loss: -0.012 R -0.035 F 0.011] [G loss: 0.000]  0:17:58.756477
3427 [D loss: -0.011 R -0.031 F 0.009] [G loss: 0.008]  0:17:59.168597
3428 [D loss: -0.010 R -0.029 F 0.009] [G loss: 0.004]  0:17:59.606644
3429 [D loss: -0.018 R -0.042 F 0.007] [G loss: -0.006]  0:18:00.056185
3430 [D loss: -0.012 R -0.034 F 0.010] [G loss: -0.014]  0:18:00.490201
3431 [D loss: -0.004 R -0.034 F 0.025] [G loss: -0.012]  0:18:00.934202
3432 [D loss: 0.000 R -0.024 F 0.024] [G loss: -0.003]  0:18:01.362069
3433 [D loss: -0.008 R -0.024 F 0.007] [G loss: 0.011]  0:18:01.792507
3434 [D loss: -0.027 R -0.031 F -0.023] [G loss: 0.026]  0:18:02.234494
3435 [D loss: -0.020 R -0.031 F -0.008] [G loss: 0.013]  0:18:02.677512
3436 [D loss: -0.016 R -0.026 F -0.007] [G loss: 0.007]  0:18:03.132711
3437 [D loss: -0.004 R -0.043 F 0.034] [G loss: -0.012]  0:18:03.561233
3438 [D loss: -0.008 R -0.044 F 0.028] [G loss: -0.005]  0:18:03.978637
3439 [D loss: -0.006 R -0.031 F 0.019] [G loss: -0.009]  0:18:04.419500
3440 [D loss: -0.010 R -0.042 F 0.022] [G loss: -0.012]  0:18:04.877149
3441 [D loss: -0.010 R -0.039 F 0.020] [G loss: -0.000]  0:18:05.338314
3442 [D loss: -0.017 R -0.052 F 0.019] [G loss: 0.004]  0:18:05.778325
3443 [D loss: -0.011 R -0.038 F 0.016] [G loss: -0.005]  0:18:06.211029
3444 [D loss: -0.011 R -0.046 F 0.024] [G loss: -0.008]  0:18:06.649353
3445 [D loss: -0.006 R -0.038 F 0.027] [G loss: -0.016]  0:18:07.064194
3446 [D loss: -0.009 R -0.040 F 0.023] [G loss: -0.017]  0:18:07.503829
3447 [D loss: -0.011 R -0.044 F 0.022] [G loss: -0.015]  0:18:07.949015
3448 [D loss: -0.009 R -0.039 F 0.020] [G loss: -0.011]  0:18:08.390428
3449 [D loss: -0.009 R -0.034 F 0.015] [G loss: -0.006]  0:18:08.872952
3450 [D loss: -0.017 R -0.047 F 0.012] [G loss: 0.003]  0:18:09.296936
3451 [D loss: -0.008 R -0.034 F 0.019] [G loss: -0.004]  0:18:09.743263
3452 [D loss: -0.001 R -0.020 F 0.018] [G loss: -0.006]  0:18:10.193918
3453 [D loss: -0.013 R -0.025 F 0.000] [G loss: 0.007]  0:18:10.631284
3454 [D loss: -0.014 R -0.021 F -0.007] [G loss: 0.020]  0:18:11.056720
3455 [D loss: -0.006 R -0.013 F 0.001] [G loss: 0.016]  0:18:11.489768
3456 [D loss: -0.010 R -0.017 F -0.002] [G loss: 0.013]  0:18:11.932523
3457 [D loss: -0.004 R -0.019 F 0.010] [G loss: 0.000]  0:18:12.370006
3458 [D loss: -0.010 R -0.029 F 0.010] [G loss: -0.002]  0:18:12.795348
3459 [D loss: -0.003 R -0.020 F 0.014] [G loss: -0.000]  0:18:13.246786
3460 [D loss: -0.010 R -0.026 F 0.007] [G loss: 0.007]  0:18:13.699986
3461 [D loss: -0.010 R -0.033 F 0.014] [G loss: 0.005]  0:18:14.144973
3462 [D loss: -0.011 R -0.026 F 0.004] [G loss: 0.007]  0:18:14.588483
3463 [D loss: -0.019 R -0.045 F 0.007] [G loss: -0.000]  0:18:15.037620
3464 [D loss: -0.011 R -0.036 F 0.014] [G loss: -0.004]  0:18:15.463811
3465 [D loss: -0.005 R -0.027 F 0.017] [G loss: -0.005]  0:18:15.897029
3466 [D loss: -0.010 R -0.040 F 0.020] [G loss: -0.002]  0:18:16.348496
3467 [D loss: -0.004 R -0.031 F 0.022] [G loss: -0.009]  0:18:16.762965
3468 [D loss: -0.010 R -0.030 F 0.010] [G loss: 0.005]  0:18:17.213051
3469 [D loss: -0.020 R -0.030 F -0.010] [G loss: 0.020]  0:18:17.657206
3470 [D loss: -0.018 R -0.034 F -0.003] [G loss: 0.009]  0:18:18.118820
3471 [D loss: -0.025 R -0.035 F -0.015] [G loss: -0.002]  0:18:18.832362
3472 [D loss: -0.013 R -0.037 F 0.011] [G loss: -0.010]  0:18:19.290392
3473 [D loss: -0.010 R -0.034 F 0.014] [G loss: -0.015]  0:18:19.737310
3474 [D loss: -0.006 R -0.034 F 0.022] [G loss: -0.014]  0:18:20.178425
3475 [D loss: -0.009 R -0.033 F 0.015] [G loss: -0.008]  0:18:20.609471
3476 [D loss: -0.007 R -0.035 F 0.021] [G loss: 0.004]  0:18:21.078637
3477 [D loss: -0.012 R -0.034 F 0.011] [G loss: 0.004]  0:18:21.533412
3478 [D loss: -0.010 R -0.037 F 0.017] [G loss: -0.000]  0:18:22.002354
3479 [D loss: -0.016 R -0.030 F -0.002] [G loss: -0.001]  0:18:22.463957
3480 [D loss: -0.024 R -0.038 F -0.011] [G loss: -0.001]  0:18:22.913782
3481 [D loss: -0.029 R -0.023 F -0.034] [G loss: 0.004]  0:18:23.351196
3482 [D loss: -0.018 R -0.023 F -0.014] [G loss: -0.000]  0:18:23.794703
3483 [D loss: 0.002 R -0.023 F 0.027] [G loss: -0.001]  0:18:24.224397
3484 [D loss: -0.014 R -0.031 F 0.004] [G loss: 0.009]  0:18:24.659021
3485 [D loss: -0.015 R -0.012 F -0.017] [G loss: 0.019]  0:18:25.112616
3486 [D loss: -0.010 R -0.012 F -0.007] [G loss: 0.013]  0:18:25.563267
3487 [D loss: -0.008 R -0.028 F 0.012] [G loss: 0.006]  0:18:26.014698
3488 [D loss: -0.018 R -0.032 F -0.003] [G loss: 0.007]  0:18:26.472525
3489 [D loss: -0.015 R -0.019 F -0.011] [G loss: 0.010]  0:18:26.940662
3490 [D loss: -0.011 R -0.028 F 0.006] [G loss: 0.004]  0:18:27.395673
3491 [D loss: -0.005 R -0.014 F 0.003] [G loss: 0.006]  0:18:27.873159
3492 [D loss: -0.010 R -0.018 F -0.002] [G loss: 0.010]  0:18:28.336512
3493 [D loss: -0.013 R -0.018 F -0.007] [G loss: 0.013]  0:18:28.771405
3494 [D loss: -0.018 R -0.036 F -0.000] [G loss: 0.011]  0:18:29.226384
3495 [D loss: -0.020 R -0.046 F 0.005] [G loss: -0.002]  0:18:29.686922
3496 [D loss: -0.019 R -0.043 F 0.005] [G loss: -0.006]  0:18:30.130869
3497 [D loss: -0.015 R -0.037 F 0.007] [G loss: -0.007]  0:18:30.589948
3498 [D loss: -0.011 R -0.035 F 0.013] [G loss: -0.005]  0:18:31.031659
3499 [D loss: -0.013 R -0.026 F 0.000] [G loss: 0.013]  0:18:31.462092
3500 [D loss: -0.002 R -0.011 F 0.008] [G loss: 0.009]  0:18:31.911834
3501 [D loss: -0.014 R -0.037 F 0.009] [G loss: 0.018]  0:18:32.373076
3502 [D loss: -0.018 R -0.041 F 0.004] [G loss: 0.007]  0:18:32.800331
3503 [D loss: -0.002 R -0.022 F 0.017] [G loss: 0.001]  0:18:33.245111
3504 [D loss: -0.007 R -0.030 F 0.015] [G loss: -0.006]  0:18:33.691941
3505 [D loss: -0.010 R -0.030 F 0.009] [G loss: -0.014]  0:18:34.137377
3506 [D loss: -0.010 R -0.030 F 0.011] [G loss: -0.009]  0:18:34.586526
3507 [D loss: -0.016 R -0.037 F 0.005] [G loss: -0.000]  0:18:35.019410
3508 [D loss: -0.013 R -0.030 F 0.004] [G loss: 0.012]  0:18:35.463664
3509 [D loss: -0.008 R -0.029 F 0.012] [G loss: 0.003]  0:18:35.917536
3510 [D loss: -0.013 R -0.026 F 0.001] [G loss: 0.010]  0:18:36.374274
3511 [D loss: -0.005 R -0.020 F 0.009] [G loss: 0.005]  0:18:36.819716
3512 [D loss: -0.005 R -0.022 F 0.011] [G loss: 0.001]  0:18:37.275662
3513 [D loss: -0.015 R -0.031 F 0.002] [G loss: 0.008]  0:18:37.722772
3514 [D loss: -0.023 R -0.043 F -0.003] [G loss: 0.000]  0:18:38.173464
3515 [D loss: -0.018 R -0.044 F 0.008] [G loss: -0.000]  0:18:38.622685
3516 [D loss: -0.012 R -0.039 F 0.015] [G loss: -0.009]  0:18:39.046221
3517 [D loss: -0.009 R -0.042 F 0.024] [G loss: -0.013]  0:18:39.496077
3518 [D loss: -0.018 R -0.057 F 0.021] [G loss: -0.016]  0:18:39.931454
3519 [D loss: -0.010 R -0.053 F 0.032] [G loss: -0.019]  0:18:40.382809
3520 [D loss: -0.008 R -0.046 F 0.029] [G loss: -0.006]  0:18:40.812396
3521 [D loss: -0.009 R -0.041 F 0.023] [G loss: -0.009]  0:18:41.248969
3522 [D loss: -0.006 R -0.041 F 0.028] [G loss: -0.012]  0:18:41.698295
3523 [D loss: -0.011 R -0.046 F 0.024] [G loss: -0.011]  0:18:42.149481
3524 [D loss: -0.013 R -0.042 F 0.016] [G loss: -0.015]  0:18:42.598279
3525 [D loss: -0.010 R -0.040 F 0.021] [G loss: -0.014]  0:18:43.043910
3526 [D loss: -0.007 R -0.045 F 0.031] [G loss: -0.010]  0:18:43.492703
3527 [D loss: 0.002 R -0.019 F 0.023] [G loss: -0.003]  0:18:43.921367
3528 [D loss: -0.008 R -0.035 F 0.020] [G loss: 0.004]  0:18:44.346174
3529 [D loss: -0.019 R -0.040 F 0.001] [G loss: 0.004]  0:18:44.793544
3530 [D loss: -0.011 R -0.038 F 0.016] [G loss: -0.004]  0:18:45.232103
3531 [D loss: -0.012 R -0.039 F 0.015] [G loss: -0.009]  0:18:45.660677
3532 [D loss: 0.003 R -0.032 F 0.037] [G loss: -0.010]  0:18:46.101055
3533 [D loss: -0.007 R -0.038 F 0.024] [G loss: -0.008]  0:18:46.554625
3534 [D loss: -0.015 R -0.035 F 0.004] [G loss: 0.003]  0:18:46.973485
3535 [D loss: -0.016 R -0.036 F 0.003] [G loss: 0.019]  0:18:47.407141
3536 [D loss: -0.012 R -0.029 F 0.006] [G loss: 0.007]  0:18:47.837187
3537 [D loss: -0.011 R -0.036 F 0.014] [G loss: 0.004]  0:18:48.280606
3538 [D loss: -0.010 R -0.035 F 0.015] [G loss: -0.009]  0:18:48.748578
3539 [D loss: -0.002 R -0.035 F 0.032] [G loss: -0.017]  0:18:49.215171
3540 [D loss: -0.012 R -0.040 F 0.017] [G loss: -0.015]  0:18:49.667814
3541 [D loss: -0.005 R -0.037 F 0.027] [G loss: -0.008]  0:18:50.161893
3542 [D loss: -0.006 R -0.030 F 0.017] [G loss: 0.002]  0:18:50.591882
3543 [D loss: -0.017 R -0.031 F -0.004] [G loss: 0.014]  0:18:51.043364
3544 [D loss: -0.016 R -0.038 F 0.006] [G loss: 0.008]  0:18:51.493370
3545 [D loss: -0.012 R -0.030 F 0.006] [G loss: -0.002]  0:18:51.962829
3546 [D loss: -0.008 R -0.026 F 0.009] [G loss: 0.000]  0:18:52.419608
3547 [D loss: -0.009 R -0.031 F 0.014] [G loss: 0.004]  0:18:52.857239
3548 [D loss: -0.011 R -0.022 F 0.000] [G loss: 0.010]  0:18:53.321601
3549 [D loss: -0.017 R -0.026 F -0.009] [G loss: 0.020]  0:18:53.763138
3550 [D loss: -0.017 R -0.030 F -0.003] [G loss: -0.002]  0:18:54.240109
3551 [D loss: -0.012 R -0.029 F 0.005] [G loss: -0.005]  0:18:54.677156
3552 [D loss: -0.015 R -0.030 F 0.001] [G loss: -0.010]  0:18:55.142869
3553 [D loss: -0.002 R -0.026 F 0.022] [G loss: -0.007]  0:18:55.584545
3554 [D loss: -0.012 R -0.034 F 0.010] [G loss: 0.002]  0:18:56.019454
3555 [D loss: -0.014 R -0.040 F 0.011] [G loss: 0.010]  0:18:56.470616
3556 [D loss: -0.012 R -0.033 F 0.009] [G loss: 0.005]  0:18:56.939377
3557 [D loss: -0.012 R -0.044 F 0.020] [G loss: 0.001]  0:18:57.381172
3558 [D loss: -0.010 R -0.039 F 0.020] [G loss: -0.005]  0:18:57.813003
3559 [D loss: -0.018 R -0.044 F 0.009] [G loss: -0.005]  0:18:58.272973
3560 [D loss: -0.021 R -0.048 F 0.006] [G loss: -0.008]  0:18:58.723984
3561 [D loss: -0.014 R -0.028 F 0.001] [G loss: 0.002]  0:18:59.188541
3562 [D loss: -0.006 R -0.030 F 0.018] [G loss: -0.006]  0:18:59.640683
3563 [D loss: -0.007 R -0.027 F 0.013] [G loss: 0.001]  0:19:00.068132
3564 [D loss: -0.015 R -0.036 F 0.005] [G loss: 0.008]  0:19:00.540982
3565 [D loss: -0.014 R -0.045 F 0.016] [G loss: 0.001]  0:19:00.989484
3566 [D loss: -0.013 R -0.039 F 0.013] [G loss: -0.006]  0:19:01.443394
3567 [D loss: -0.005 R -0.013 F 0.002] [G loss: 0.007]  0:19:01.866685
3568 [D loss: -0.011 R -0.033 F 0.011] [G loss: -0.007]  0:19:02.346785
3569 [D loss: -0.007 R -0.021 F 0.007] [G loss: 0.002]  0:19:02.802223
3570 [D loss: -0.007 R -0.029 F 0.014] [G loss: -0.001]  0:19:03.249443
3571 [D loss: -0.021 R -0.033 F -0.009] [G loss: 0.013]  0:19:03.676222
3572 [D loss: -0.012 R -0.030 F 0.005] [G loss: -0.002]  0:19:04.138027
3573 [D loss: -0.004 R -0.028 F 0.020] [G loss: -0.002]  0:19:04.584073
3574 [D loss: -0.009 R -0.036 F 0.019] [G loss: 0.002]  0:19:05.029657
3575 [D loss: -0.014 R -0.038 F 0.009] [G loss: 0.010]  0:19:05.475464
3576 [D loss: -0.011 R -0.048 F 0.026] [G loss: -0.008]  0:19:05.931567
3577 [D loss: -0.015 R -0.041 F 0.011] [G loss: 0.001]  0:19:06.363901
3578 [D loss: -0.004 R -0.029 F 0.021] [G loss: -0.007]  0:19:06.801729
3579 [D loss: -0.010 R -0.031 F 0.012] [G loss: -0.002]  0:19:07.243484
3580 [D loss: -0.006 R -0.027 F 0.016] [G loss: 0.003]  0:19:07.678548
3581 [D loss: -0.014 R -0.035 F 0.008] [G loss: -0.006]  0:19:08.131744
3582 [D loss: -0.011 R -0.030 F 0.007] [G loss: -0.001]  0:19:08.569540
3583 [D loss: -0.020 R -0.038 F -0.002] [G loss: -0.001]  0:19:09.029826
3584 [D loss: -0.005 R -0.034 F 0.023] [G loss: -0.007]  0:19:09.488416
3585 [D loss: -0.009 R -0.042 F 0.024] [G loss: -0.009]  0:19:09.923940
3586 [D loss: -0.011 R -0.045 F 0.024] [G loss: -0.008]  0:19:10.377938
3587 [D loss: -0.014 R -0.043 F 0.014] [G loss: -0.005]  0:19:10.843651
3588 [D loss: -0.008 R -0.038 F 0.022] [G loss: -0.006]  0:19:11.278027
3589 [D loss: -0.011 R -0.048 F 0.025] [G loss: -0.006]  0:19:11.715318
3590 [D loss: -0.010 R -0.038 F 0.018] [G loss: -0.005]  0:19:12.175646
3591 [D loss: -0.013 R -0.038 F 0.011] [G loss: -0.003]  0:19:12.664554
3592 [D loss: -0.009 R -0.045 F 0.027] [G loss: -0.009]  0:19:13.118627
3593 [D loss: 0.002 R -0.032 F 0.036] [G loss: -0.019]  0:19:13.550472
3594 [D loss: -0.002 R -0.036 F 0.032] [G loss: -0.024]  0:19:14.016317
3595 [D loss: -0.008 R -0.041 F 0.024] [G loss: -0.015]  0:19:14.445016
3596 [D loss: -0.014 R -0.051 F 0.023] [G loss: -0.016]  0:19:14.887132
3597 [D loss: -0.007 R -0.044 F 0.031] [G loss: -0.010]  0:19:15.342412
3598 [D loss: -0.008 R -0.039 F 0.023] [G loss: -0.015]  0:19:15.802565
3599 [D loss: -0.012 R -0.044 F 0.020] [G loss: -0.010]  0:19:16.239094
3600 [D loss: -0.011 R -0.038 F 0.016] [G loss: 0.001]  0:19:16.681560
3601 [D loss: -0.010 R -0.032 F 0.012] [G loss: -0.005]  0:19:17.119056
3602 [D loss: -0.009 R -0.029 F 0.010] [G loss: -0.004]  0:19:17.578214
3603 [D loss: -0.005 R -0.034 F 0.024] [G loss: -0.001]  0:19:18.040540
3604 [D loss: -0.009 R -0.033 F 0.014] [G loss: 0.002]  0:19:18.485067
3605 [D loss: -0.013 R -0.038 F 0.012] [G loss: 0.003]  0:19:18.929398
3606 [D loss: -0.006 R -0.038 F 0.026] [G loss: -0.003]  0:19:19.357632
3607 [D loss: -0.005 R -0.034 F 0.023] [G loss: -0.005]  0:19:19.808910
3608 [D loss: -0.009 R -0.031 F 0.013] [G loss: -0.004]  0:19:20.246409
3609 [D loss: -0.006 R -0.031 F 0.019] [G loss: 0.000]  0:19:20.729272
3610 [D loss: -0.010 R -0.023 F 0.004] [G loss: 0.007]  0:19:21.151588
3611 [D loss: -0.013 R -0.020 F -0.006] [G loss: 0.016]  0:19:21.617658
3612 [D loss: -0.012 R -0.022 F -0.001] [G loss: 0.011]  0:19:22.049690
3613 [D loss: -0.009 R -0.012 F -0.007] [G loss: 0.020]  0:19:22.508324
3614 [D loss: -0.015 R -0.009 F -0.021] [G loss: 0.028]  0:19:22.934617
3615 [D loss: -0.013 R -0.013 F -0.013] [G loss: 0.022]  0:19:23.384640
3616 [D loss: -0.010 R -0.014 F -0.006] [G loss: 0.019]  0:19:23.825280
3617 [D loss: -0.010 R -0.026 F 0.006] [G loss: 0.007]  0:19:24.251090
3618 [D loss: -0.007 R -0.023 F 0.009] [G loss: -0.003]  0:19:24.696550
3619 [D loss: -0.007 R -0.023 F 0.009] [G loss: -0.001]  0:19:25.130926
3620 [D loss: -0.012 R -0.028 F 0.004] [G loss: -0.001]  0:19:25.583618
3621 [D loss: -0.008 R -0.030 F 0.014] [G loss: 0.001]  0:19:26.018166
3622 [D loss: -0.010 R -0.027 F 0.007] [G loss: 0.011]  0:19:26.465639
3623 [D loss: -0.009 R -0.029 F 0.011] [G loss: 0.009]  0:19:26.927486
3624 [D loss: -0.007 R -0.030 F 0.016] [G loss: 0.008]  0:19:27.372778
3625 [D loss: -0.004 R -0.029 F 0.021] [G loss: 0.000]  0:19:27.811157
3626 [D loss: -0.014 R -0.033 F 0.004] [G loss: 0.001]  0:19:28.252162
3627 [D loss: -0.019 R -0.038 F 0.001] [G loss: 0.004]  0:19:28.697276
3628 [D loss: -0.010 R -0.028 F 0.007] [G loss: 0.006]  0:19:29.132877
3629 [D loss: -0.011 R -0.030 F 0.009] [G loss: 0.003]  0:19:29.561069
3630 [D loss: -0.008 R -0.028 F 0.012] [G loss: 0.004]  0:19:30.004419
3631 [D loss: -0.009 R -0.029 F 0.011] [G loss: 0.001]  0:19:30.450403
3632 [D loss: -0.011 R -0.029 F 0.007] [G loss: -0.004]  0:19:30.905792
3633 [D loss: -0.010 R -0.028 F 0.009] [G loss: -0.001]  0:19:31.381077
3634 [D loss: -0.008 R -0.027 F 0.011] [G loss: -0.002]  0:19:31.829812
3635 [D loss: -0.008 R -0.026 F 0.011] [G loss: 0.003]  0:19:32.273980
3636 [D loss: -0.009 R -0.030 F 0.012] [G loss: 0.003]  0:19:32.738420
3637 [D loss: -0.011 R -0.040 F 0.018] [G loss: 0.005]  0:19:33.170199
3638 [D loss: -0.010 R -0.027 F 0.007] [G loss: 0.007]  0:19:33.625033
3639 [D loss: -0.016 R -0.042 F 0.010] [G loss: -0.003]  0:19:34.073640
3640 [D loss: -0.010 R -0.037 F 0.017] [G loss: -0.005]  0:19:34.537441
3641 [D loss: -0.012 R -0.043 F 0.019] [G loss: -0.005]  0:19:35.026392
3642 [D loss: -0.021 R -0.054 F 0.011] [G loss: -0.007]  0:19:35.485104
3643 [D loss: -0.018 R -0.036 F -0.000] [G loss: -0.000]  0:19:35.951378
3644 [D loss: -0.016 R -0.028 F -0.005] [G loss: 0.001]  0:19:36.389017
3645 [D loss: -0.008 R -0.028 F 0.012] [G loss: -0.007]  0:19:37.113325
3646 [D loss: -0.008 R -0.028 F 0.011] [G loss: 0.003]  0:19:37.558149
3647 [D loss: -0.006 R -0.022 F 0.010] [G loss: 0.003]  0:19:38.016258
3648 [D loss: -0.011 R -0.038 F 0.017] [G loss: 0.000]  0:19:38.472396
3649 [D loss: -0.015 R -0.037 F 0.007] [G loss: 0.001]  0:19:38.922207
3650 [D loss: -0.013 R -0.039 F 0.012] [G loss: 0.002]  0:19:39.364810
3651 [D loss: -0.013 R -0.034 F 0.009] [G loss: 0.005]  0:19:39.824571
3652 [D loss: -0.006 R -0.026 F 0.013] [G loss: 0.002]  0:19:40.267117
3653 [D loss: -0.013 R -0.036 F 0.010] [G loss: 0.000]  0:19:40.727664
3654 [D loss: -0.009 R -0.034 F 0.017] [G loss: -0.002]  0:19:41.166791
3655 [D loss: -0.010 R -0.032 F 0.012] [G loss: -0.003]  0:19:41.619342
3656 [D loss: -0.013 R -0.042 F 0.017] [G loss: -0.009]  0:19:42.049164
3657 [D loss: -0.008 R -0.043 F 0.027] [G loss: -0.012]  0:19:42.479528
3658 [D loss: -0.003 R -0.035 F 0.028] [G loss: -0.012]  0:19:42.935165
3659 [D loss: -0.007 R -0.037 F 0.023] [G loss: -0.014]  0:19:43.396043
3660 [D loss: -0.004 R -0.040 F 0.033] [G loss: -0.013]  0:19:43.824991
3661 [D loss: -0.004 R -0.033 F 0.025] [G loss: -0.003]  0:19:44.266080
3662 [D loss: -0.009 R -0.031 F 0.012] [G loss: 0.001]  0:19:44.696212
3663 [D loss: -0.016 R -0.037 F 0.004] [G loss: 0.007]  0:19:45.151175
3664 [D loss: -0.014 R -0.032 F 0.004] [G loss: 0.008]  0:19:45.596354
3665 [D loss: -0.019 R -0.032 F -0.005] [G loss: 0.010]  0:19:46.026542
3666 [D loss: -0.008 R -0.032 F 0.015] [G loss: 0.004]  0:19:46.471274
3667 [D loss: -0.011 R -0.029 F 0.007] [G loss: -0.008]  0:19:46.930241
3668 [D loss: -0.009 R -0.019 F -0.000] [G loss: 0.010]  0:19:47.362617
3669 [D loss: -0.010 R -0.025 F 0.006] [G loss: 0.012]  0:19:47.801638
3670 [D loss: -0.018 R -0.026 F -0.011] [G loss: 0.027]  0:19:48.257539
3671 [D loss: -0.012 R -0.024 F 0.000] [G loss: 0.015]  0:19:48.704657
3672 [D loss: -0.009 R -0.017 F -0.001] [G loss: 0.006]  0:19:49.132913
3673 [D loss: -0.016 R -0.031 F -0.001] [G loss: 0.000]  0:19:49.587449
3674 [D loss: -0.006 R -0.036 F 0.024] [G loss: -0.017]  0:19:50.040087
3675 [D loss: -0.012 R -0.041 F 0.018] [G loss: -0.016]  0:19:50.456226
3676 [D loss: -0.008 R -0.027 F 0.012] [G loss: -0.007]  0:19:50.881064
3677 [D loss: -0.010 R -0.029 F 0.010] [G loss: 0.007]  0:19:51.335242
3678 [D loss: -0.017 R -0.028 F -0.005] [G loss: 0.013]  0:19:51.790954
3679 [D loss: -0.017 R -0.026 F -0.007] [G loss: 0.012]  0:19:52.226100
3680 [D loss: -0.007 R -0.018 F 0.004] [G loss: 0.002]  0:19:52.702486
3681 [D loss: -0.010 R -0.028 F 0.009] [G loss: -0.000]  0:19:53.143137
3682 [D loss: -0.014 R -0.042 F 0.014] [G loss: -0.004]  0:19:53.597970
3683 [D loss: -0.011 R -0.030 F 0.009] [G loss: -0.013]  0:19:54.041628
3684 [D loss: -0.009 R -0.031 F 0.014] [G loss: -0.012]  0:19:54.513622
3685 [D loss: -0.010 R -0.035 F 0.015] [G loss: -0.011]  0:19:54.937730
3686 [D loss: -0.005 R -0.033 F 0.024] [G loss: -0.012]  0:19:55.382019
3687 [D loss: -0.009 R -0.034 F 0.016] [G loss: 0.002]  0:19:55.825467
3688 [D loss: -0.006 R -0.033 F 0.020] [G loss: 0.001]  0:19:56.255352
3689 [D loss: -0.017 R -0.043 F 0.008] [G loss: 0.000]  0:19:56.693458
3690 [D loss: -0.016 R -0.040 F 0.008] [G loss: 0.004]  0:19:57.137907
3691 [D loss: -0.003 R -0.030 F 0.024] [G loss: 0.001]  0:19:57.573515
3692 [D loss: -0.015 R -0.042 F 0.012] [G loss: -0.004]  0:19:57.990604
3693 [D loss: -0.012 R -0.028 F 0.004] [G loss: 0.006]  0:19:58.426186
3694 [D loss: -0.013 R -0.032 F 0.005] [G loss: -0.003]  0:19:58.867567
3695 [D loss: -0.015 R -0.032 F 0.002] [G loss: 0.007]  0:19:59.312176
3696 [D loss: -0.010 R -0.024 F 0.003] [G loss: 0.006]  0:19:59.767490
3697 [D loss: -0.008 R -0.024 F 0.008] [G loss: 0.002]  0:20:00.203626
3698 [D loss: -0.004 R -0.026 F 0.018] [G loss: -0.000]  0:20:00.650467
3699 [D loss: -0.004 R -0.030 F 0.022] [G loss: -0.001]  0:20:01.125915
3700 [D loss: -0.006 R -0.034 F 0.022] [G loss: 0.001]  0:20:01.558941
3701 [D loss: -0.008 R -0.034 F 0.019] [G loss: -0.005]  0:20:02.010919
3702 [D loss: -0.015 R -0.053 F 0.023] [G loss: -0.016]  0:20:02.463191
3703 [D loss: -0.007 R -0.041 F 0.027] [G loss: -0.015]  0:20:02.899962
3704 [D loss: -0.008 R -0.030 F 0.015] [G loss: -0.004]  0:20:03.355699
3705 [D loss: -0.010 R -0.019 F -0.000] [G loss: 0.012]  0:20:03.792629
3706 [D loss: -0.017 R -0.037 F 0.004] [G loss: 0.013]  0:20:04.251339
3707 [D loss: -0.022 R -0.026 F -0.017] [G loss: 0.016]  0:20:04.695520
3708 [D loss: -0.010 R -0.018 F -0.002] [G loss: 0.018]  0:20:05.193094
3709 [D loss: -0.009 R -0.026 F 0.009] [G loss: 0.012]  0:20:05.662674
3710 [D loss: -0.013 R -0.030 F 0.004] [G loss: 0.011]  0:20:06.085969
3711 [D loss: -0.006 R -0.021 F 0.010] [G loss: 0.007]  0:20:06.569190
3712 [D loss: -0.007 R -0.018 F 0.004] [G loss: 0.007]  0:20:07.011627
3713 [D loss: -0.006 R -0.021 F 0.008] [G loss: 0.002]  0:20:07.493127
3714 [D loss: -0.006 R -0.024 F 0.011] [G loss: 0.002]  0:20:07.937995
3715 [D loss: -0.007 R -0.023 F 0.010] [G loss: 0.003]  0:20:08.392532
3716 [D loss: -0.008 R -0.031 F 0.014] [G loss: -0.003]  0:20:08.824912
3717 [D loss: -0.004 R -0.027 F 0.019] [G loss: -0.008]  0:20:09.277119
3718 [D loss: -0.009 R -0.034 F 0.017] [G loss: -0.004]  0:20:09.728659
3719 [D loss: -0.009 R -0.041 F 0.023] [G loss: -0.010]  0:20:10.204476
3720 [D loss: -0.013 R -0.038 F 0.013] [G loss: -0.006]  0:20:10.674644
3721 [D loss: -0.012 R -0.051 F 0.027] [G loss: -0.009]  0:20:11.093730
3722 [D loss: -0.011 R -0.051 F 0.028] [G loss: -0.019]  0:20:11.533211
3723 [D loss: -0.012 R -0.047 F 0.024] [G loss: -0.020]  0:20:11.987553
3724 [D loss: -0.010 R -0.040 F 0.020] [G loss: -0.006]  0:20:12.429631
3725 [D loss: -0.011 R -0.040 F 0.018] [G loss: -0.005]  0:20:12.855362
3726 [D loss: -0.012 R -0.045 F 0.022] [G loss: -0.005]  0:20:13.286454
3727 [D loss: -0.009 R -0.035 F 0.018] [G loss: -0.011]  0:20:13.756361
3728 [D loss: -0.009 R -0.033 F 0.015] [G loss: -0.006]  0:20:14.203412
3729 [D loss: -0.011 R -0.036 F 0.014] [G loss: -0.005]  0:20:14.661840
3730 [D loss: -0.008 R -0.033 F 0.017] [G loss: 0.005]  0:20:15.095801
3731 [D loss: -0.017 R -0.030 F -0.005] [G loss: 0.014]  0:20:15.552688
3732 [D loss: -0.012 R -0.022 F -0.001] [G loss: 0.016]  0:20:15.981228
3733 [D loss: -0.004 R -0.018 F 0.010] [G loss: 0.001]  0:20:16.422494
3734 [D loss: -0.011 R -0.020 F -0.002] [G loss: 0.006]  0:20:16.851641
3735 [D loss: -0.007 R -0.013 F -0.000] [G loss: 0.009]  0:20:17.280180
3736 [D loss: -0.010 R -0.022 F 0.003] [G loss: 0.014]  0:20:17.731201
3737 [D loss: -0.007 R -0.012 F -0.003] [G loss: 0.011]  0:20:18.193889
3738 [D loss: -0.009 R -0.006 F -0.013] [G loss: 0.024]  0:20:18.628307
3739 [D loss: -0.012 R -0.008 F -0.017] [G loss: 0.017]  0:20:19.070878
3740 [D loss: -0.005 R -0.014 F 0.004] [G loss: 0.012]  0:20:19.509532
3741 [D loss: -0.010 R -0.022 F 0.002] [G loss: 0.002]  0:20:19.952610
3742 [D loss: -0.006 R -0.021 F 0.009] [G loss: -0.000]  0:20:20.386401
3743 [D loss: -0.010 R -0.026 F 0.006] [G loss: 0.003]  0:20:20.824187
3744 [D loss: -0.012 R -0.033 F 0.010] [G loss: 0.013]  0:20:21.257464
3745 [D loss: -0.010 R -0.032 F 0.012] [G loss: 0.005]  0:20:21.692381
3746 [D loss: -0.014 R -0.040 F 0.012] [G loss: -0.012]  0:20:22.147310
3747 [D loss: -0.010 R -0.043 F 0.023] [G loss: -0.017]  0:20:22.620023
3748 [D loss: -0.011 R -0.046 F 0.024] [G loss: -0.021]  0:20:23.065149
3749 [D loss: -0.006 R -0.038 F 0.025] [G loss: -0.010]  0:20:23.532454
3750 [D loss: -0.011 R -0.043 F 0.020] [G loss: -0.008]  0:20:23.971172
3751 [D loss: -0.014 R -0.043 F 0.015] [G loss: -0.007]  0:20:24.430004
3752 [D loss: -0.012 R -0.035 F 0.010] [G loss: -0.002]  0:20:24.878217
3753 [D loss: -0.014 R -0.041 F 0.014] [G loss: -0.004]  0:20:25.329196
3754 [D loss: 0.001 R -0.016 F 0.018] [G loss: -0.004]  0:20:25.786577
3755 [D loss: -0.005 R -0.030 F 0.020] [G loss: -0.009]  0:20:26.218472
3756 [D loss: -0.009 R -0.029 F 0.011] [G loss: -0.002]  0:20:26.668131
3757 [D loss: -0.006 R -0.031 F 0.019] [G loss: -0.007]  0:20:27.087711
3758 [D loss: -0.014 R -0.041 F 0.013] [G loss: -0.010]  0:20:27.523285
3759 [D loss: -0.001 R -0.028 F 0.025] [G loss: -0.008]  0:20:27.964311
3760 [D loss: -0.009 R -0.041 F 0.022] [G loss: -0.009]  0:20:28.436778
3761 [D loss: -0.010 R -0.033 F 0.014] [G loss: -0.009]  0:20:28.884407
3762 [D loss: -0.013 R -0.039 F 0.013] [G loss: 0.002]  0:20:29.313418
3763 [D loss: -0.009 R -0.038 F 0.020] [G loss: -0.009]  0:20:29.791281
3764 [D loss: -0.008 R -0.030 F 0.014] [G loss: -0.010]  0:20:30.235515
3765 [D loss: -0.009 R -0.035 F 0.017] [G loss: -0.005]  0:20:30.709637
3766 [D loss: -0.015 R -0.039 F 0.010] [G loss: -0.000]  0:20:31.143422
3767 [D loss: -0.012 R -0.039 F 0.015] [G loss: -0.003]  0:20:31.592980
3768 [D loss: -0.009 R -0.031 F 0.013] [G loss: 0.002]  0:20:32.000578
3769 [D loss: -0.016 R -0.029 F -0.002] [G loss: 0.003]  0:20:32.417758
3770 [D loss: -0.014 R -0.037 F 0.009] [G loss: 0.004]  0:20:32.892133
3771 [D loss: -0.015 R -0.041 F 0.012] [G loss: -0.009]  0:20:33.326674
3772 [D loss: -0.010 R -0.044 F 0.025] [G loss: -0.019]  0:20:33.791077
3773 [D loss: -0.003 R -0.041 F 0.034] [G loss: -0.014]  0:20:34.231084
3774 [D loss: -0.008 R -0.041 F 0.024] [G loss: -0.003]  0:20:34.669833
3775 [D loss: -0.013 R -0.040 F 0.014] [G loss: -0.007]  0:20:35.103576
3776 [D loss: -0.010 R -0.038 F 0.017] [G loss: -0.009]  0:20:35.565473
3777 [D loss: -0.005 R -0.032 F 0.023] [G loss: -0.017]  0:20:35.992217
3778 [D loss: -0.008 R -0.028 F 0.013] [G loss: 0.002]  0:20:36.410486
3779 [D loss: -0.011 R -0.024 F 0.002] [G loss: 0.009]  0:20:36.848455
3780 [D loss: -0.008 R -0.024 F 0.007] [G loss: 0.009]  0:20:37.297870
3781 [D loss: -0.019 R -0.021 F -0.016] [G loss: 0.013]  0:20:37.750414
3782 [D loss: -0.019 R -0.029 F -0.008] [G loss: 0.005]  0:20:38.217643
3783 [D loss: -0.016 R -0.044 F 0.012] [G loss: 0.007]  0:20:38.650202
3784 [D loss: -0.014 R -0.038 F 0.010] [G loss: 0.002]  0:20:39.097093
3785 [D loss: -0.014 R -0.028 F 0.001] [G loss: 0.005]  0:20:39.524621
3786 [D loss: -0.029 R -0.045 F -0.013] [G loss: 0.006]  0:20:39.982614
3787 [D loss: -0.009 R -0.022 F 0.004] [G loss: 0.001]  0:20:40.424723
3788 [D loss: -0.002 R -0.021 F 0.017] [G loss: -0.000]  0:20:40.877485
3789 [D loss: -0.002 R -0.025 F 0.020] [G loss: 0.008]  0:20:41.320828
3790 [D loss: 0.000 R -0.024 F 0.024] [G loss: -0.001]  0:20:41.761473
3791 [D loss: -0.006 R -0.028 F 0.015] [G loss: 0.001]  0:20:42.211099
3792 [D loss: -0.012 R -0.024 F 0.001] [G loss: 0.003]  0:20:42.643475
3793 [D loss: -0.011 R -0.040 F 0.018] [G loss: 0.001]  0:20:43.098652
3794 [D loss: -0.018 R -0.040 F 0.003] [G loss: -0.001]  0:20:43.522904
3795 [D loss: -0.002 R -0.026 F 0.021] [G loss: -0.005]  0:20:43.970685
3796 [D loss: -0.012 R -0.045 F 0.020] [G loss: -0.008]  0:20:44.402015
3797 [D loss: -0.007 R -0.042 F 0.028] [G loss: -0.007]  0:20:44.867240
3798 [D loss: -0.011 R -0.039 F 0.017] [G loss: -0.004]  0:20:45.326473
3799 [D loss: -0.013 R -0.039 F 0.013] [G loss: 0.003]  0:20:45.778553
3800 [D loss: -0.013 R -0.033 F 0.007] [G loss: 0.012]  0:20:46.231295
3801 [D loss: -0.011 R -0.030 F 0.008] [G loss: 0.000]  0:20:46.688497
3802 [D loss: -0.020 R -0.046 F 0.006] [G loss: -0.012]  0:20:47.132120
3803 [D loss: -0.017 R -0.046 F 0.012] [G loss: -0.009]  0:20:47.583166
3804 [D loss: -0.011 R -0.042 F 0.019] [G loss: -0.009]  0:20:48.029773
3805 [D loss: -0.010 R -0.049 F 0.029] [G loss: -0.016]  0:20:48.467181
3806 [D loss: -0.015 R -0.047 F 0.016] [G loss: -0.012]  0:20:48.914657
3807 [D loss: -0.009 R -0.038 F 0.020] [G loss: -0.010]  0:20:49.358627
3808 [D loss: -0.006 R -0.033 F 0.020] [G loss: -0.003]  0:20:49.798334
3809 [D loss: -0.012 R -0.032 F 0.008] [G loss: -0.000]  0:20:50.237182
3810 [D loss: -0.015 R -0.022 F -0.007] [G loss: 0.022]  0:20:50.689964
3811 [D loss: -0.015 R -0.017 F -0.014] [G loss: 0.023]  0:20:51.128759
3812 [D loss: -0.011 R -0.017 F -0.005] [G loss: 0.021]  0:20:51.558047
3813 [D loss: -0.008 R -0.027 F 0.010] [G loss: 0.007]  0:20:51.996215
3814 [D loss: -0.004 R -0.034 F 0.027] [G loss: -0.002]  0:20:52.449386
3815 [D loss: -0.007 R -0.033 F 0.019] [G loss: -0.000]  0:20:52.902589
3816 [D loss: -0.006 R -0.029 F 0.017] [G loss: -0.001]  0:20:53.340645
3817 [D loss: -0.010 R -0.034 F 0.015] [G loss: 0.008]  0:20:53.786650
3818 [D loss: -0.012 R -0.044 F 0.020] [G loss: -0.002]  0:20:54.504710
3819 [D loss: -0.009 R -0.034 F 0.016] [G loss: -0.010]  0:20:54.958724
3820 [D loss: -0.008 R -0.031 F 0.016] [G loss: -0.014]  0:20:55.381759
3821 [D loss: -0.002 R -0.023 F 0.019] [G loss: -0.019]  0:20:55.832027
3822 [D loss: -0.008 R -0.030 F 0.015] [G loss: -0.004]  0:20:56.258835
3823 [D loss: -0.014 R -0.023 F -0.004] [G loss: 0.012]  0:20:56.730639
3824 [D loss: -0.011 R -0.032 F 0.010] [G loss: 0.008]  0:20:57.194557
3825 [D loss: -0.014 R -0.035 F 0.008] [G loss: 0.011]  0:20:57.635012
3826 [D loss: -0.015 R -0.030 F -0.000] [G loss: 0.005]  0:20:58.118010
3827 [D loss: -0.004 R -0.027 F 0.018] [G loss: -0.009]  0:20:58.570699
3828 [D loss: -0.005 R -0.040 F 0.030] [G loss: -0.013]  0:20:59.011923
3829 [D loss: -0.002 R -0.049 F 0.045] [G loss: -0.020]  0:20:59.440977
3830 [D loss: -0.008 R -0.042 F 0.026] [G loss: -0.016]  0:20:59.887373
3831 [D loss: -0.010 R -0.037 F 0.018] [G loss: -0.001]  0:21:00.325899
3832 [D loss: -0.010 R -0.027 F 0.007] [G loss: 0.009]  0:21:00.791741
3833 [D loss: -0.012 R -0.041 F 0.018] [G loss: 0.005]  0:21:01.230755
3834 [D loss: -0.024 R -0.043 F -0.005] [G loss: -0.001]  0:21:01.697013
3835 [D loss: -0.014 R -0.040 F 0.011] [G loss: -0.010]  0:21:02.122340
3836 [D loss: -0.005 R -0.038 F 0.027] [G loss: -0.014]  0:21:02.536697
3837 [D loss: -0.010 R -0.037 F 0.017] [G loss: -0.006]  0:21:02.983423
3838 [D loss: -0.015 R -0.029 F -0.000] [G loss: -0.001]  0:21:03.422158
3839 [D loss: -0.008 R -0.025 F 0.009] [G loss: -0.000]  0:21:03.881439
3840 [D loss: -0.017 R -0.035 F 0.001] [G loss: 0.013]  0:21:04.327099
3841 [D loss: -0.016 R -0.025 F -0.007] [G loss: 0.014]  0:21:04.761424
3842 [D loss: -0.010 R -0.021 F 0.001] [G loss: 0.008]  0:21:05.209146
3843 [D loss: -0.007 R -0.020 F 0.007] [G loss: 0.003]  0:21:05.644213
3844 [D loss: 0.001 R -0.030 F 0.031] [G loss: -0.013]  0:21:06.088777
3845 [D loss: -0.007 R -0.027 F 0.013] [G loss: 0.006]  0:21:06.534336
3846 [D loss: -0.010 R -0.027 F 0.006] [G loss: 0.009]  0:21:06.978028
3847 [D loss: -0.014 R -0.026 F -0.002] [G loss: 0.016]  0:21:07.408000
3848 [D loss: -0.017 R -0.032 F -0.002] [G loss: 0.004]  0:21:07.861595
3849 [D loss: -0.008 R -0.026 F 0.011] [G loss: 0.004]  0:21:08.319584
3850 [D loss: -0.004 R -0.021 F 0.013] [G loss: -0.004]  0:21:08.746617
3851 [D loss: -0.007 R -0.030 F 0.016] [G loss: -0.006]  0:21:09.213523
3852 [D loss: -0.008 R -0.025 F 0.009] [G loss: 0.007]  0:21:09.676779
3853 [D loss: -0.012 R -0.022 F -0.001] [G loss: 0.011]  0:21:10.120250
3854 [D loss: -0.013 R -0.031 F 0.006] [G loss: 0.011]  0:21:10.567149
3855 [D loss: -0.012 R -0.027 F 0.003] [G loss: 0.016]  0:21:10.993561
3856 [D loss: -0.013 R -0.025 F -0.001] [G loss: 0.004]  0:21:11.433113
3857 [D loss: -0.006 R -0.030 F 0.018] [G loss: -0.005]  0:21:11.874025
3858 [D loss: -0.006 R -0.038 F 0.026] [G loss: -0.006]  0:21:12.290215
3859 [D loss: -0.008 R -0.035 F 0.019] [G loss: -0.010]  0:21:12.727992
3860 [D loss: -0.008 R -0.034 F 0.019] [G loss: -0.003]  0:21:13.168642
3861 [D loss: -0.010 R -0.033 F 0.014] [G loss: 0.000]  0:21:13.603164
3862 [D loss: -0.015 R -0.034 F 0.004] [G loss: 0.012]  0:21:14.040362
3863 [D loss: -0.014 R -0.034 F 0.007] [G loss: 0.002]  0:21:14.482559
3864 [D loss: -0.000 R -0.021 F 0.020] [G loss: -0.008]  0:21:14.904533
3865 [D loss: -0.007 R -0.034 F 0.020] [G loss: -0.012]  0:21:15.391788
3866 [D loss: -0.013 R -0.047 F 0.021] [G loss: -0.006]  0:21:15.837576
3867 [D loss: -0.012 R -0.034 F 0.010] [G loss: -0.001]  0:21:16.306824
3868 [D loss: -0.006 R -0.023 F 0.012] [G loss: 0.002]  0:21:16.759804
3869 [D loss: -0.008 R -0.033 F 0.016] [G loss: 0.005]  0:21:17.215141
3870 [D loss: -0.011 R -0.031 F 0.009] [G loss: 0.005]  0:21:17.696100
3871 [D loss: -0.014 R -0.033 F 0.004] [G loss: 0.012]  0:21:18.136534
3872 [D loss: -0.009 R -0.025 F 0.007] [G loss: 0.007]  0:21:18.589149
3873 [D loss: -0.012 R -0.036 F 0.012] [G loss: 0.007]  0:21:19.046595
3874 [D loss: -0.023 R -0.038 F -0.008] [G loss: -0.001]  0:21:19.489620
3875 [D loss: -0.004 R -0.040 F 0.032] [G loss: -0.018]  0:21:19.914877
3876 [D loss: -0.006 R -0.035 F 0.022] [G loss: -0.016]  0:21:20.353654
3877 [D loss: -0.009 R -0.041 F 0.023] [G loss: -0.022]  0:21:20.789783
3878 [D loss: -0.013 R -0.040 F 0.015] [G loss: -0.004]  0:21:21.231239
3879 [D loss: -0.006 R -0.031 F 0.018] [G loss: -0.001]  0:21:21.688424
3880 [D loss: -0.010 R -0.030 F 0.010] [G loss: 0.005]  0:21:22.117478
3881 [D loss: -0.014 R -0.039 F 0.011] [G loss: 0.004]  0:21:22.560491
3882 [D loss: -0.004 R -0.022 F 0.015] [G loss: -0.008]  0:21:22.998730
3883 [D loss: -0.003 R -0.029 F 0.024] [G loss: -0.008]  0:21:23.428706
3884 [D loss: -0.010 R -0.040 F 0.019] [G loss: -0.007]  0:21:23.869138
3885 [D loss: -0.007 R -0.021 F 0.008] [G loss: 0.008]  0:21:24.305717
3886 [D loss: -0.016 R -0.035 F 0.003] [G loss: 0.008]  0:21:24.754739
3887 [D loss: -0.014 R -0.041 F 0.013] [G loss: 0.004]  0:21:25.190518
3888 [D loss: -0.009 R -0.031 F 0.014] [G loss: 0.005]  0:21:25.681702
3889 [D loss: -0.006 R -0.033 F 0.020] [G loss: -0.009]  0:21:26.102927
3890 [D loss: -0.006 R -0.033 F 0.021] [G loss: -0.008]  0:21:26.568064
3891 [D loss: -0.006 R -0.025 F 0.013] [G loss: 0.004]  0:21:26.998444
3892 [D loss: -0.011 R -0.024 F 0.002] [G loss: 0.007]  0:21:27.447567
3893 [D loss: -0.010 R -0.023 F 0.004] [G loss: 0.003]  0:21:27.895007
3894 [D loss: -0.005 R -0.022 F 0.012] [G loss: 0.002]  0:21:28.315972
3895 [D loss: -0.009 R -0.017 F -0.002] [G loss: 0.007]  0:21:28.777014
3896 [D loss: -0.009 R -0.014 F -0.003] [G loss: 0.010]  0:21:29.193334
3897 [D loss: -0.010 R -0.016 F -0.005] [G loss: 0.017]  0:21:29.645518
3898 [D loss: -0.023 R -0.026 F -0.021] [G loss: 0.018]  0:21:30.065410
3899 [D loss: -0.010 R -0.029 F 0.010] [G loss: 0.006]  0:21:30.515977
3900 [D loss: -0.005 R -0.015 F 0.005] [G loss: 0.007]  0:21:30.952005
3901 [D loss: -0.016 R -0.036 F 0.004] [G loss: 0.009]  0:21:31.396370
3902 [D loss: -0.016 R -0.037 F 0.005] [G loss: -0.007]  0:21:31.836346
3903 [D loss: -0.014 R -0.046 F 0.018] [G loss: -0.010]  0:21:32.270422
3904 [D loss: -0.005 R -0.036 F 0.027] [G loss: -0.004]  0:21:32.730962
3905 [D loss: -0.008 R -0.037 F 0.022] [G loss: -0.002]  0:21:33.169975
3906 [D loss: -0.013 R -0.036 F 0.011] [G loss: 0.004]  0:21:33.598082
3907 [D loss: -0.014 R -0.034 F 0.005] [G loss: 0.001]  0:21:34.080348
3908 [D loss: -0.015 R -0.037 F 0.006] [G loss: 0.000]  0:21:34.557837
3909 [D loss: -0.006 R -0.034 F 0.023] [G loss: -0.009]  0:21:35.002870
3910 [D loss: -0.012 R -0.038 F 0.013] [G loss: -0.001]  0:21:35.422480
3911 [D loss: -0.018 R -0.037 F 0.001] [G loss: -0.004]  0:21:35.846894
3912 [D loss: -0.009 R -0.031 F 0.013] [G loss: -0.004]  0:21:36.272456
3913 [D loss: -0.015 R -0.026 F -0.004] [G loss: 0.002]  0:21:36.701866
3914 [D loss: -0.010 R -0.031 F 0.012] [G loss: 0.009]  0:21:37.159302
3915 [D loss: -0.005 R -0.026 F 0.016] [G loss: -0.009]  0:21:37.641844
3916 [D loss: -0.007 R -0.031 F 0.017] [G loss: -0.004]  0:21:38.092075
3917 [D loss: -0.011 R -0.037 F 0.014] [G loss: -0.002]  0:21:38.557160
3918 [D loss: -0.011 R -0.034 F 0.012] [G loss: -0.004]  0:21:39.003779
3919 [D loss: -0.012 R -0.041 F 0.016] [G loss: -0.005]  0:21:39.474585
3920 [D loss: -0.007 R -0.029 F 0.015] [G loss: -0.001]  0:21:39.930191
3921 [D loss: -0.011 R -0.035 F 0.013] [G loss: -0.005]  0:21:40.362116
3922 [D loss: -0.007 R -0.036 F 0.022] [G loss: -0.011]  0:21:40.801287
3923 [D loss: -0.011 R -0.037 F 0.015] [G loss: -0.003]  0:21:41.253856
3924 [D loss: -0.011 R -0.037 F 0.016] [G loss: -0.002]  0:21:41.696418
3925 [D loss: -0.015 R -0.041 F 0.011] [G loss: 0.001]  0:21:42.116806
3926 [D loss: -0.011 R -0.030 F 0.009] [G loss: 0.005]  0:21:42.568218
3927 [D loss: -0.018 R -0.036 F 0.001] [G loss: -0.012]  0:21:43.010210
3928 [D loss: -0.005 R -0.035 F 0.024] [G loss: -0.021]  0:21:43.450762
3929 [D loss: -0.004 R -0.044 F 0.037] [G loss: -0.019]  0:21:43.898632
3930 [D loss: -0.009 R -0.035 F 0.018] [G loss: -0.019]  0:21:44.347531
3931 [D loss: -0.012 R -0.035 F 0.010] [G loss: -0.004]  0:21:44.765880
3932 [D loss: -0.008 R -0.025 F 0.009] [G loss: -0.003]  0:21:45.209901
3933 [D loss: -0.002 R -0.025 F 0.022] [G loss: -0.003]  0:21:45.631282
3934 [D loss: -0.006 R -0.024 F 0.013] [G loss: -0.003]  0:21:46.079123
3935 [D loss: -0.011 R -0.022 F 0.000] [G loss: 0.016]  0:21:46.535350
3936 [D loss: -0.010 R -0.028 F 0.007] [G loss: 0.017]  0:21:46.974483
3937 [D loss: -0.010 R -0.014 F -0.006] [G loss: 0.019]  0:21:47.433448
3938 [D loss: -0.014 R -0.022 F -0.005] [G loss: 0.024]  0:21:47.879007
3939 [D loss: -0.005 R -0.011 F 0.000] [G loss: 0.019]  0:21:48.319416
3940 [D loss: -0.015 R -0.024 F -0.005] [G loss: 0.013]  0:21:48.746787
3941 [D loss: -0.005 R -0.015 F 0.005] [G loss: 0.013]  0:21:49.212083
3942 [D loss: -0.004 R -0.016 F 0.009] [G loss: 0.000]  0:21:49.652258
3943 [D loss: -0.004 R -0.020 F 0.012] [G loss: 0.001]  0:21:50.075659
3944 [D loss: -0.005 R -0.024 F 0.014] [G loss: -0.001]  0:21:50.530444
3945 [D loss: -0.013 R -0.029 F 0.003] [G loss: 0.011]  0:21:50.976696
3946 [D loss: -0.006 R -0.022 F 0.009] [G loss: 0.003]  0:21:51.445233
3947 [D loss: -0.009 R -0.029 F 0.010] [G loss: -0.003]  0:21:51.889419
3948 [D loss: -0.007 R -0.032 F 0.018] [G loss: -0.007]  0:21:52.332163
3949 [D loss: -0.009 R -0.037 F 0.020] [G loss: -0.006]  0:21:52.763751
3950 [D loss: -0.005 R -0.037 F 0.027] [G loss: -0.013]  0:21:53.201188
3951 [D loss: -0.012 R -0.041 F 0.018] [G loss: -0.009]  0:21:53.630097
3952 [D loss: -0.007 R -0.029 F 0.015] [G loss: 0.004]  0:21:54.052490
3953 [D loss: -0.009 R -0.035 F 0.017] [G loss: -0.004]  0:21:54.484654
3954 [D loss: -0.013 R -0.044 F 0.018] [G loss: -0.003]  0:21:54.913552
3955 [D loss: -0.010 R -0.034 F 0.014] [G loss: -0.014]  0:21:55.356322
3956 [D loss: -0.012 R -0.046 F 0.022] [G loss: -0.017]  0:21:55.838604
3957 [D loss: -0.012 R -0.053 F 0.029] [G loss: -0.015]  0:21:56.278651
3958 [D loss: -0.009 R -0.041 F 0.022] [G loss: -0.002]  0:21:56.724221
3959 [D loss: -0.009 R -0.039 F 0.021] [G loss: -0.008]  0:21:57.165374
3960 [D loss: -0.007 R -0.038 F 0.025] [G loss: -0.007]  0:21:57.614361
3961 [D loss: -0.011 R -0.047 F 0.026] [G loss: -0.012]  0:21:58.036730
3962 [D loss: -0.008 R -0.033 F 0.016] [G loss: -0.011]  0:21:58.486665
3963 [D loss: -0.009 R -0.029 F 0.011] [G loss: -0.009]  0:21:58.937133
3964 [D loss: -0.006 R -0.029 F 0.017] [G loss: 0.002]  0:21:59.391280
3965 [D loss: -0.007 R -0.034 F 0.020] [G loss: -0.001]  0:21:59.851892
3966 [D loss: -0.008 R -0.026 F 0.010] [G loss: -0.001]  0:22:00.282075
3967 [D loss: -0.011 R -0.034 F 0.012] [G loss: -0.001]  0:22:00.745650
3968 [D loss: -0.009 R -0.031 F 0.012] [G loss: -0.006]  0:22:01.179928
3969 [D loss: -0.011 R -0.030 F 0.008] [G loss: -0.010]  0:22:01.628307
3970 [D loss: -0.012 R -0.019 F -0.006] [G loss: 0.004]  0:22:02.070185
3971 [D loss: -0.009 R -0.023 F 0.006] [G loss: 0.007]  0:22:02.502617
3972 [D loss: -0.002 R -0.013 F 0.009] [G loss: 0.005]  0:22:02.984809
3973 [D loss: -0.011 R -0.021 F -0.001] [G loss: 0.004]  0:22:03.414837
3974 [D loss: -0.003 R -0.017 F 0.010] [G loss: -0.001]  0:22:03.860222
3975 [D loss: -0.007 R -0.038 F 0.024] [G loss: -0.014]  0:22:04.294128
3976 [D loss: -0.011 R -0.035 F 0.013] [G loss: -0.005]  0:22:04.734973
3977 [D loss: -0.010 R -0.037 F 0.016] [G loss: 0.001]  0:22:05.162834
3978 [D loss: -0.008 R -0.032 F 0.016] [G loss: -0.002]  0:22:05.606814
3979 [D loss: -0.010 R -0.038 F 0.017] [G loss: -0.009]  0:22:06.040925
3980 [D loss: -0.017 R -0.040 F 0.006] [G loss: -0.006]  0:22:06.478390
3981 [D loss: -0.023 R -0.039 F -0.006] [G loss: -0.008]  0:22:06.929055
3982 [D loss: -0.026 R -0.051 F -0.001] [G loss: -0.009]  0:22:07.370465
3983 [D loss: -0.008 R -0.040 F 0.024] [G loss: -0.008]  0:22:07.815959
3984 [D loss: -0.010 R -0.044 F 0.024] [G loss: -0.007]  0:22:08.270949
3985 [D loss: -0.007 R -0.037 F 0.023] [G loss: -0.004]  0:22:08.702370
3986 [D loss: -0.024 R -0.041 F -0.007] [G loss: -0.002]  0:22:09.123687
3987 [D loss: -0.021 R -0.028 F -0.014] [G loss: -0.001]  0:22:09.566926
3988 [D loss: -0.017 R -0.030 F -0.004] [G loss: 0.006]  0:22:10.021414
3989 [D loss: -0.010 R -0.025 F 0.004] [G loss: 0.005]  0:22:10.481954
3990 [D loss: -0.012 R -0.023 F -0.000] [G loss: 0.014]  0:22:10.943145
3991 [D loss: -0.021 R -0.026 F -0.016] [G loss: 0.010]  0:22:11.390482
3992 [D loss: -0.015 R -0.033 F 0.002] [G loss: 0.004]  0:22:11.818736
3993 [D loss: -0.004 R -0.031 F 0.023] [G loss: 0.003]  0:22:12.522009
3994 [D loss: -0.007 R -0.018 F 0.004] [G loss: 0.012]  0:22:12.972130
3995 [D loss: -0.012 R -0.021 F -0.003] [G loss: 0.014]  0:22:13.415600
3996 [D loss: -0.009 R -0.019 F 0.001] [G loss: 0.016]  0:22:13.845766
3997 [D loss: -0.004 R -0.023 F 0.014] [G loss: 0.013]  0:22:14.311283
3998 [D loss: -0.005 R -0.018 F 0.007] [G loss: 0.006]  0:22:14.747346
3999 [D loss: -0.012 R -0.036 F 0.011] [G loss: 0.001]  0:22:15.233769
4000 [D loss: -0.014 R -0.035 F 0.007] [G loss: -0.004]  0:22:15.668715
4001 [D loss: -0.007 R -0.030 F 0.016] [G loss: -0.002]  0:22:17.117469
4002 [D loss: -0.011 R -0.036 F 0.014] [G loss: -0.007]  0:22:17.567817
4003 [D loss: -0.009 R -0.039 F 0.021] [G loss: -0.004]  0:22:18.012319
4004 [D loss: -0.012 R -0.035 F 0.011] [G loss: -0.003]  0:22:18.441247
4005 [D loss: -0.005 R -0.030 F 0.019] [G loss: -0.003]  0:22:18.945602
4006 [D loss: -0.018 R -0.041 F 0.004] [G loss: 0.008]  0:22:19.404006
4007 [D loss: -0.019 R -0.032 F -0.006] [G loss: 0.013]  0:22:19.841921
4008 [D loss: -0.010 R -0.022 F 0.003] [G loss: 0.002]  0:22:20.282541
4009 [D loss: -0.011 R -0.039 F 0.016] [G loss: -0.005]  0:22:20.722129
4010 [D loss: -0.005 R -0.031 F 0.021] [G loss: -0.012]  0:22:21.160105
4011 [D loss: -0.010 R -0.045 F 0.025] [G loss: -0.022]  0:22:21.621084
4012 [D loss: -0.012 R -0.043 F 0.018] [G loss: -0.028]  0:22:22.159538
4013 [D loss: -0.012 R -0.036 F 0.012] [G loss: -0.012]  0:22:22.659957
4014 [D loss: -0.007 R -0.040 F 0.027] [G loss: -0.003]  0:22:23.132646
4015 [D loss: -0.007 R -0.042 F 0.028] [G loss: -0.011]  0:22:23.596102
4016 [D loss: -0.003 R -0.033 F 0.026] [G loss: -0.014]  0:22:24.033668
4017 [D loss: -0.007 R -0.042 F 0.028] [G loss: -0.004]  0:22:24.481940
4018 [D loss: -0.007 R -0.035 F 0.022] [G loss: -0.007]  0:22:24.899419
4019 [D loss: -0.015 R -0.049 F 0.018] [G loss: -0.007]  0:22:25.337039
4020 [D loss: -0.018 R -0.038 F 0.003] [G loss: 0.002]  0:22:25.774547
4021 [D loss: -0.014 R -0.043 F 0.015] [G loss: 0.015]  0:22:26.219699
4022 [D loss: -0.006 R -0.030 F 0.019] [G loss: 0.004]  0:22:26.630325
4023 [D loss: -0.011 R -0.050 F 0.029] [G loss: -0.016]  0:22:27.065474
4024 [D loss: -0.007 R -0.049 F 0.034] [G loss: -0.030]  0:22:27.493787
4025 [D loss: -0.006 R -0.045 F 0.032] [G loss: -0.022]  0:22:27.941094
4026 [D loss: -0.008 R -0.036 F 0.020] [G loss: -0.013]  0:22:28.386767
4027 [D loss: -0.019 R -0.047 F 0.010] [G loss: -0.003]  0:22:28.830578
4028 [D loss: -0.021 R -0.043 F 0.002] [G loss: 0.003]  0:22:29.286542
4029 [D loss: -0.018 R -0.046 F 0.009] [G loss: -0.012]  0:22:29.733789
4030 [D loss: -0.009 R -0.034 F 0.016] [G loss: -0.010]  0:22:30.217028
4031 [D loss: -0.008 R -0.030 F 0.014] [G loss: -0.013]  0:22:30.662265
4032 [D loss: -0.023 R -0.053 F 0.007] [G loss: -0.006]  0:22:31.116000
4033 [D loss: -0.023 R -0.020 F -0.026] [G loss: 0.009]  0:22:31.572622
4034 [D loss: -0.022 R -0.022 F -0.021] [G loss: 0.026]  0:22:32.008317
4035 [D loss: -0.013 R -0.020 F -0.005] [G loss: 0.016]  0:22:32.437465
4036 [D loss: -0.011 R -0.008 F -0.014] [G loss: 0.012]  0:22:32.873660
4037 [D loss: -0.011 R -0.012 F -0.009] [G loss: 0.016]  0:22:33.301818
4038 [D loss: -0.020 R -0.030 F -0.010] [G loss: 0.015]  0:22:33.742864
4039 [D loss: -0.006 R -0.015 F 0.002] [G loss: 0.001]  0:22:34.209659
4040 [D loss: -0.005 R -0.019 F 0.009] [G loss: -0.003]  0:22:34.634702
4041 [D loss: -0.005 R -0.036 F 0.025] [G loss: -0.005]  0:22:35.073594
4042 [D loss: -0.011 R -0.038 F 0.016] [G loss: 0.001]  0:22:35.546137
4043 [D loss: -0.011 R -0.032 F 0.009] [G loss: -0.005]  0:22:36.000638
4044 [D loss: -0.013 R -0.043 F 0.018] [G loss: -0.001]  0:22:36.428664
4045 [D loss: -0.013 R -0.033 F 0.007] [G loss: -0.005]  0:22:36.872743
4046 [D loss: -0.016 R -0.048 F 0.015] [G loss: -0.006]  0:22:37.328846
4047 [D loss: -0.007 R -0.032 F 0.018] [G loss: -0.001]  0:22:37.783942
4048 [D loss: -0.010 R -0.042 F 0.022] [G loss: -0.012]  0:22:38.219782
4049 [D loss: -0.009 R -0.041 F 0.023] [G loss: -0.016]  0:22:38.679688
4050 [D loss: -0.007 R -0.027 F 0.013] [G loss: -0.017]  0:22:39.117651
4051 [D loss: -0.005 R -0.034 F 0.024] [G loss: -0.021]  0:22:39.572757
4052 [D loss: -0.012 R -0.048 F 0.023] [G loss: -0.014]  0:22:40.015491
4053 [D loss: -0.012 R -0.045 F 0.022] [G loss: -0.009]  0:22:40.472103
4054 [D loss: -0.014 R -0.045 F 0.017] [G loss: -0.011]  0:22:40.915650
4055 [D loss: -0.002 R -0.034 F 0.031] [G loss: -0.009]  0:22:41.335828
4056 [D loss: -0.012 R -0.047 F 0.022] [G loss: -0.005]  0:22:41.774212
4057 [D loss: -0.011 R -0.035 F 0.012] [G loss: -0.001]  0:22:42.203683
4058 [D loss: -0.011 R -0.041 F 0.019] [G loss: 0.001]  0:22:42.633680
4059 [D loss: -0.009 R -0.035 F 0.017] [G loss: 0.000]  0:22:43.097865
4060 [D loss: 0.001 R -0.027 F 0.029] [G loss: 0.001]  0:22:43.551980
4061 [D loss: -0.008 R -0.031 F 0.014] [G loss: 0.007]  0:22:43.995526
4062 [D loss: -0.007 R -0.023 F 0.009] [G loss: 0.007]  0:22:44.419442
4063 [D loss: -0.009 R -0.024 F 0.007] [G loss: 0.007]  0:22:44.860474
4064 [D loss: -0.008 R -0.027 F 0.011] [G loss: -0.007]  0:22:45.285398
4065 [D loss: -0.005 R -0.030 F 0.021] [G loss: -0.000]  0:22:45.762530
4066 [D loss: -0.009 R -0.028 F 0.010] [G loss: -0.002]  0:22:46.193506
4067 [D loss: -0.005 R -0.027 F 0.016] [G loss: 0.001]  0:22:46.619058
4068 [D loss: -0.009 R -0.024 F 0.006] [G loss: 0.010]  0:22:47.051884
4069 [D loss: -0.014 R -0.027 F -0.001] [G loss: 0.009]  0:22:47.495674
4070 [D loss: -0.014 R -0.030 F 0.002] [G loss: -0.000]  0:22:47.949593
4071 [D loss: -0.014 R -0.034 F 0.005] [G loss: -0.003]  0:22:48.388423
4072 [D loss: -0.013 R -0.029 F 0.004] [G loss: -0.014]  0:22:48.822131
4073 [D loss: -0.011 R -0.016 F -0.006] [G loss: -0.011]  0:22:49.250750
4074 [D loss: -0.020 R -0.022 F -0.018] [G loss: -0.000]  0:22:49.674083
4075 [D loss: -0.008 R -0.028 F 0.013] [G loss: -0.003]  0:22:50.133030
4076 [D loss: -0.006 R -0.030 F 0.018] [G loss: -0.005]  0:22:50.585820
4077 [D loss: -0.001 R -0.024 F 0.022] [G loss: -0.005]  0:22:51.021336
4078 [D loss: -0.014 R -0.022 F -0.005] [G loss: 0.007]  0:22:51.451046
4079 [D loss: -0.015 R -0.027 F -0.002] [G loss: 0.012]  0:22:51.881968
4080 [D loss: -0.018 R -0.031 F -0.004] [G loss: 0.002]  0:22:52.308754
4081 [D loss: -0.014 R -0.033 F 0.006] [G loss: 0.000]  0:22:52.764892
4082 [D loss: -0.003 R -0.029 F 0.022] [G loss: -0.011]  0:22:53.207989
4083 [D loss: 0.000 R -0.036 F 0.037] [G loss: -0.010]  0:22:53.652319
4084 [D loss: -0.006 R -0.030 F 0.017] [G loss: -0.010]  0:22:54.106223
4085 [D loss: -0.009 R -0.035 F 0.016] [G loss: -0.006]  0:22:54.519380
4086 [D loss: -0.011 R -0.032 F 0.009] [G loss: 0.009]  0:22:54.964818
4087 [D loss: -0.005 R -0.025 F 0.014] [G loss: -0.004]  0:22:55.422010
4088 [D loss: -0.009 R -0.030 F 0.013] [G loss: -0.006]  0:22:55.869629
4089 [D loss: -0.009 R -0.036 F 0.019] [G loss: -0.009]  0:22:56.312884
4090 [D loss: -0.013 R -0.033 F 0.006] [G loss: -0.001]  0:22:56.762362
4091 [D loss: -0.017 R -0.041 F 0.008] [G loss: 0.000]  0:22:57.200138
4092 [D loss: -0.010 R -0.033 F 0.012] [G loss: -0.002]  0:22:57.637254
4093 [D loss: -0.012 R -0.036 F 0.011] [G loss: 0.001]  0:22:58.065875
4094 [D loss: -0.010 R -0.030 F 0.011] [G loss: 0.002]  0:22:58.516755
4095 [D loss: -0.009 R -0.035 F 0.018] [G loss: 0.002]  0:22:58.952524
4096 [D loss: -0.007 R -0.033 F 0.019] [G loss: -0.003]  0:22:59.403030
4097 [D loss: -0.012 R -0.044 F 0.020] [G loss: -0.007]  0:22:59.827953
4098 [D loss: -0.012 R -0.045 F 0.021] [G loss: -0.011]  0:23:00.264611
4099 [D loss: -0.006 R -0.040 F 0.028] [G loss: -0.011]  0:23:00.685381
4100 [D loss: -0.008 R -0.041 F 0.025] [G loss: -0.013]  0:23:01.116785
4101 [D loss: -0.007 R -0.032 F 0.018] [G loss: -0.010]  0:23:01.577628
4102 [D loss: -0.009 R -0.034 F 0.017] [G loss: -0.008]  0:23:02.002809
4103 [D loss: -0.008 R -0.034 F 0.019] [G loss: -0.007]  0:23:02.443869
4104 [D loss: -0.006 R -0.031 F 0.020] [G loss: -0.004]  0:23:02.864804
4105 [D loss: -0.007 R -0.025 F 0.010] [G loss: -0.005]  0:23:03.308475
4106 [D loss: -0.012 R -0.030 F 0.006] [G loss: 0.003]  0:23:03.780359
4107 [D loss: -0.012 R -0.034 F 0.010] [G loss: 0.006]  0:23:04.220148
4108 [D loss: -0.011 R -0.025 F 0.002] [G loss: -0.001]  0:23:04.681580
4109 [D loss: -0.005 R -0.024 F 0.014] [G loss: -0.006]  0:23:05.134178
4110 [D loss: -0.016 R -0.033 F 0.000] [G loss: -0.003]  0:23:05.590888
4111 [D loss: -0.014 R -0.033 F 0.005] [G loss: -0.010]  0:23:06.041237
4112 [D loss: -0.010 R -0.027 F 0.006] [G loss: -0.007]  0:23:06.518976
4113 [D loss: -0.008 R -0.030 F 0.013] [G loss: -0.004]  0:23:06.973374
4114 [D loss: -0.013 R -0.040 F 0.013] [G loss: 0.004]  0:23:07.409627
4115 [D loss: -0.009 R -0.031 F 0.013] [G loss: 0.005]  0:23:07.840447
4116 [D loss: -0.015 R -0.033 F 0.002] [G loss: 0.005]  0:23:08.274725
4117 [D loss: -0.006 R -0.021 F 0.009] [G loss: 0.011]  0:23:08.721588
4118 [D loss: -0.012 R -0.019 F -0.006] [G loss: 0.018]  0:23:09.178682
4119 [D loss: -0.013 R -0.019 F -0.008] [G loss: 0.018]  0:23:09.627329
4120 [D loss: -0.011 R -0.027 F 0.004] [G loss: 0.001]  0:23:10.072593
4121 [D loss: -0.006 R -0.028 F 0.016] [G loss: 0.002]  0:23:10.521331
4122 [D loss: -0.010 R -0.026 F 0.006] [G loss: -0.002]  0:23:10.975466
4123 [D loss: -0.014 R -0.034 F 0.005] [G loss: 0.001]  0:23:11.410310
4124 [D loss: -0.017 R -0.041 F 0.007] [G loss: -0.005]  0:23:11.866987
4125 [D loss: -0.012 R -0.045 F 0.021] [G loss: -0.011]  0:23:12.294368
4126 [D loss: -0.002 R -0.036 F 0.031] [G loss: -0.023]  0:23:12.723348
4127 [D loss: -0.007 R -0.040 F 0.027] [G loss: -0.023]  0:23:13.141222
4128 [D loss: -0.011 R -0.048 F 0.026] [G loss: -0.012]  0:23:13.570425
4129 [D loss: -0.007 R -0.040 F 0.025] [G loss: -0.008]  0:23:13.994574
4130 [D loss: -0.016 R -0.041 F 0.010] [G loss: 0.006]  0:23:14.431674
4131 [D loss: -0.008 R -0.029 F 0.013] [G loss: 0.008]  0:23:14.900101
4132 [D loss: -0.008 R -0.025 F 0.010] [G loss: -0.003]  0:23:15.341129
4133 [D loss: -0.013 R -0.033 F 0.007] [G loss: -0.007]  0:23:15.794741
4134 [D loss: -0.009 R -0.026 F 0.008] [G loss: -0.006]  0:23:16.265511
4135 [D loss: -0.011 R -0.028 F 0.006] [G loss: -0.002]  0:23:16.710067
4136 [D loss: -0.007 R -0.031 F 0.017] [G loss: 0.007]  0:23:17.143257
4137 [D loss: -0.011 R -0.023 F 0.002] [G loss: 0.003]  0:23:17.586977
4138 [D loss: -0.013 R -0.030 F 0.003] [G loss: 0.002]  0:23:18.031785
4139 [D loss: -0.014 R -0.034 F 0.007] [G loss: -0.006]  0:23:18.481513
4140 [D loss: -0.007 R -0.040 F 0.026] [G loss: -0.012]  0:23:18.916231
4141 [D loss: 0.001 R -0.031 F 0.033] [G loss: -0.011]  0:23:19.380491
4142 [D loss: -0.012 R -0.041 F 0.016] [G loss: -0.005]  0:23:19.831108
4143 [D loss: -0.017 R -0.042 F 0.009] [G loss: -0.002]  0:23:20.269084
4144 [D loss: -0.008 R -0.029 F 0.013] [G loss: 0.003]  0:23:20.708950
4145 [D loss: -0.003 R -0.026 F 0.021] [G loss: 0.000]  0:23:21.129373
4146 [D loss: -0.010 R -0.029 F 0.010] [G loss: 0.005]  0:23:21.553369
4147 [D loss: -0.006 R -0.025 F 0.013] [G loss: -0.001]  0:23:21.996503
4148 [D loss: -0.006 R -0.029 F 0.017] [G loss: 0.001]  0:23:22.429251
4149 [D loss: -0.014 R -0.035 F 0.007] [G loss: -0.000]  0:23:22.872639
4150 [D loss: -0.008 R -0.030 F 0.014] [G loss: -0.003]  0:23:23.306060
4151 [D loss: -0.011 R -0.038 F 0.015] [G loss: -0.002]  0:23:23.748811
4152 [D loss: -0.013 R -0.043 F 0.017] [G loss: -0.004]  0:23:24.241638
4153 [D loss: -0.015 R -0.046 F 0.016] [G loss: -0.005]  0:23:24.684383
4154 [D loss: -0.021 R -0.046 F 0.003] [G loss: -0.007]  0:23:25.149219
4155 [D loss: -0.005 R -0.036 F 0.026] [G loss: -0.017]  0:23:25.586245
4156 [D loss: -0.008 R -0.039 F 0.022] [G loss: -0.013]  0:23:26.051061
4157 [D loss: -0.010 R -0.039 F 0.020] [G loss: -0.007]  0:23:26.475426
4158 [D loss: -0.006 R -0.030 F 0.019] [G loss: -0.005]  0:23:26.934601
4159 [D loss: -0.013 R -0.037 F 0.010] [G loss: -0.003]  0:23:27.358897
4160 [D loss: -0.012 R -0.038 F 0.014] [G loss: -0.007]  0:23:27.791323
4161 [D loss: -0.005 R -0.035 F 0.024] [G loss: -0.005]  0:23:28.261698
4162 [D loss: -0.008 R -0.039 F 0.022] [G loss: -0.008]  0:23:28.694511
4163 [D loss: -0.008 R -0.030 F 0.014] [G loss: -0.003]  0:23:29.157041
4164 [D loss: -0.016 R -0.036 F 0.004] [G loss: 0.006]  0:23:29.595018
4165 [D loss: -0.008 R -0.024 F 0.009] [G loss: -0.002]  0:23:30.049057
4166 [D loss: -0.013 R -0.034 F 0.008] [G loss: -0.002]  0:23:30.463980
4167 [D loss: -0.008 R -0.026 F 0.010] [G loss: -0.004]  0:23:30.899236
4168 [D loss: -0.008 R -0.027 F 0.011] [G loss: -0.007]  0:23:31.609986
4169 [D loss: -0.010 R -0.040 F 0.020] [G loss: -0.004]  0:23:32.036718
4170 [D loss: -0.006 R -0.029 F 0.016] [G loss: -0.002]  0:23:32.494110
4171 [D loss: -0.009 R -0.028 F 0.010] [G loss: 0.004]  0:23:32.932053
4172 [D loss: -0.017 R -0.024 F -0.009] [G loss: 0.013]  0:23:33.353900
4173 [D loss: -0.004 R -0.007 F -0.001] [G loss: 0.017]  0:23:33.793104
4174 [D loss: -0.006 R -0.015 F 0.004] [G loss: 0.012]  0:23:34.223150
4175 [D loss: -0.005 R -0.006 F -0.003] [G loss: 0.018]  0:23:34.662915
4176 [D loss: -0.018 R -0.013 F -0.023] [G loss: 0.021]  0:23:35.104864
4177 [D loss: -0.010 R -0.018 F -0.002] [G loss: 0.015]  0:23:35.564767
4178 [D loss: -0.007 R -0.018 F 0.004] [G loss: 0.012]  0:23:35.992725
4179 [D loss: -0.010 R -0.020 F -0.000] [G loss: 0.010]  0:23:36.434909
4180 [D loss: -0.013 R -0.023 F -0.002] [G loss: 0.008]  0:23:36.898263
4181 [D loss: -0.004 R -0.023 F 0.015] [G loss: 0.004]  0:23:37.344492
4182 [D loss: -0.005 R -0.024 F 0.014] [G loss: 0.010]  0:23:37.774582
4183 [D loss: -0.008 R -0.023 F 0.008] [G loss: 0.009]  0:23:38.207488
4184 [D loss: -0.014 R -0.034 F 0.005] [G loss: 0.006]  0:23:38.650112
4185 [D loss: -0.014 R -0.038 F 0.010] [G loss: -0.001]  0:23:39.067741
4186 [D loss: -0.010 R -0.037 F 0.017] [G loss: -0.009]  0:23:39.518695
4187 [D loss: -0.010 R -0.046 F 0.027] [G loss: -0.016]  0:23:39.962315
4188 [D loss: -0.005 R -0.042 F 0.033] [G loss: -0.021]  0:23:40.407711
4189 [D loss: -0.008 R -0.048 F 0.032] [G loss: -0.021]  0:23:40.839838
4190 [D loss: -0.009 R -0.051 F 0.033] [G loss: -0.023]  0:23:41.288922
4191 [D loss: -0.009 R -0.039 F 0.020] [G loss: -0.016]  0:23:41.733292
4192 [D loss: -0.005 R -0.031 F 0.020] [G loss: -0.004]  0:23:42.167647
4193 [D loss: -0.016 R -0.047 F 0.015] [G loss: 0.005]  0:23:42.632087
4194 [D loss: -0.009 R -0.033 F 0.015] [G loss: 0.003]  0:23:43.070425
4195 [D loss: -0.014 R -0.032 F 0.004] [G loss: -0.001]  0:23:43.515382
4196 [D loss: -0.001 R -0.028 F 0.025] [G loss: -0.006]  0:23:43.957280
4197 [D loss: -0.001 R -0.030 F 0.029] [G loss: -0.016]  0:23:44.394669
4198 [D loss: -0.005 R -0.031 F 0.021] [G loss: -0.010]  0:23:44.837011
4199 [D loss: -0.020 R -0.056 F 0.015] [G loss: -0.002]  0:23:45.262069
4200 [D loss: -0.015 R -0.046 F 0.017] [G loss: -0.000]  0:23:45.713896
4201 [D loss: -0.010 R -0.047 F 0.026] [G loss: -0.004]  0:23:46.142423
4202 [D loss: -0.014 R -0.051 F 0.023] [G loss: -0.020]  0:23:46.600571
4203 [D loss: -0.006 R -0.049 F 0.036] [G loss: -0.021]  0:23:47.063297
4204 [D loss: -0.001 R -0.042 F 0.040] [G loss: -0.031]  0:23:47.497317
4205 [D loss: -0.004 R -0.049 F 0.040] [G loss: -0.026]  0:23:47.947487
4206 [D loss: -0.016 R -0.053 F 0.022] [G loss: -0.009]  0:23:48.392704
4207 [D loss: -0.008 R -0.030 F 0.013] [G loss: -0.000]  0:23:48.819180
4208 [D loss: -0.022 R -0.053 F 0.010] [G loss: 0.002]  0:23:49.249441
4209 [D loss: -0.020 R -0.047 F 0.006] [G loss: 0.001]  0:23:49.710048
4210 [D loss: -0.016 R -0.043 F 0.011] [G loss: -0.010]  0:23:50.184602
4211 [D loss: -0.007 R -0.035 F 0.021] [G loss: -0.012]  0:23:50.622369
4212 [D loss: -0.001 R -0.032 F 0.030] [G loss: -0.018]  0:23:51.070523
4213 [D loss: -0.001 R -0.030 F 0.029] [G loss: -0.009]  0:23:51.527751
4214 [D loss: -0.015 R -0.036 F 0.005] [G loss: 0.009]  0:23:51.971962
4215 [D loss: -0.018 R -0.038 F 0.001] [G loss: 0.012]  0:23:52.429715
4216 [D loss: -0.007 R -0.027 F 0.012] [G loss: 0.012]  0:23:52.868780
4217 [D loss: -0.002 R -0.014 F 0.010] [G loss: -0.007]  0:23:53.300020
4218 [D loss: -0.010 R -0.027 F 0.006] [G loss: 0.001]  0:23:53.747537
4219 [D loss: -0.011 R -0.025 F 0.003] [G loss: 0.001]  0:23:54.218525
4220 [D loss: -0.007 R -0.029 F 0.014] [G loss: -0.006]  0:23:54.643772
4221 [D loss: -0.009 R -0.027 F 0.009] [G loss: 0.004]  0:23:55.100377
4222 [D loss: -0.018 R -0.026 F -0.011] [G loss: 0.013]  0:23:55.545569
4223 [D loss: -0.014 R -0.023 F -0.004] [G loss: 0.002]  0:23:55.992774
4224 [D loss: -0.012 R -0.026 F 0.001] [G loss: 0.004]  0:23:56.448553
4225 [D loss: -0.013 R -0.033 F 0.007] [G loss: 0.008]  0:23:56.878339
4226 [D loss: -0.003 R -0.022 F 0.016] [G loss: 0.004]  0:23:57.335923
4227 [D loss: -0.010 R -0.031 F 0.010] [G loss: 0.003]  0:23:57.801855
4228 [D loss: -0.014 R -0.037 F 0.010] [G loss: 0.005]  0:23:58.231515
4229 [D loss: -0.013 R -0.032 F 0.006] [G loss: -0.002]  0:23:58.687625
4230 [D loss: -0.006 R -0.030 F 0.018] [G loss: 0.000]  0:23:59.143030
4231 [D loss: -0.004 R -0.024 F 0.017] [G loss: -0.000]  0:23:59.617390
4232 [D loss: -0.006 R -0.024 F 0.011] [G loss: -0.003]  0:24:00.067515
4233 [D loss: -0.007 R -0.026 F 0.012] [G loss: -0.005]  0:24:00.519205
4234 [D loss: -0.005 R -0.034 F 0.024] [G loss: -0.005]  0:24:00.970596
4235 [D loss: -0.009 R -0.027 F 0.009] [G loss: -0.012]  0:24:01.463423
4236 [D loss: -0.021 R -0.044 F 0.003] [G loss: -0.004]  0:24:01.914804
4237 [D loss: -0.004 R -0.030 F 0.023] [G loss: -0.009]  0:24:02.368389
4238 [D loss: -0.009 R -0.030 F 0.011] [G loss: -0.002]  0:24:02.817479
4239 [D loss: -0.007 R -0.025 F 0.011] [G loss: 0.001]  0:24:03.254372
4240 [D loss: -0.014 R -0.031 F 0.004] [G loss: 0.007]  0:24:03.707006
4241 [D loss: -0.015 R -0.033 F 0.003] [G loss: 0.002]  0:24:04.159147
4242 [D loss: -0.010 R -0.032 F 0.012] [G loss: 0.004]  0:24:04.606607
4243 [D loss: -0.011 R -0.033 F 0.011] [G loss: 0.008]  0:24:05.060297
4244 [D loss: -0.008 R -0.030 F 0.013] [G loss: 0.001]  0:24:05.522828
4245 [D loss: -0.013 R -0.035 F 0.010] [G loss: 0.002]  0:24:05.967869
4246 [D loss: -0.005 R -0.022 F 0.012] [G loss: 0.001]  0:24:06.403454
4247 [D loss: -0.012 R -0.036 F 0.012] [G loss: -0.001]  0:24:06.867494
4248 [D loss: -0.008 R -0.029 F 0.013] [G loss: -0.010]  0:24:07.329581
4249 [D loss: -0.012 R -0.038 F 0.014] [G loss: -0.016]  0:24:07.789660
4250 [D loss: -0.002 R -0.040 F 0.036] [G loss: -0.018]  0:24:08.241395
4251 [D loss: -0.003 R -0.029 F 0.023] [G loss: -0.012]  0:24:08.697601
4252 [D loss: -0.004 R -0.033 F 0.026] [G loss: -0.005]  0:24:09.147374
4253 [D loss: -0.011 R -0.030 F 0.008] [G loss: 0.002]  0:24:09.611755
4254 [D loss: -0.017 R -0.043 F 0.009] [G loss: 0.004]  0:24:10.043334
4255 [D loss: -0.011 R -0.025 F 0.002] [G loss: -0.003]  0:24:10.506172
4256 [D loss: -0.008 R -0.036 F 0.019] [G loss: -0.016]  0:24:10.959281
4257 [D loss: -0.012 R -0.044 F 0.020] [G loss: -0.021]  0:24:11.415611
4258 [D loss: -0.011 R -0.045 F 0.024] [G loss: -0.011]  0:24:11.880673
4259 [D loss: -0.015 R -0.043 F 0.014] [G loss: 0.002]  0:24:12.319661
4260 [D loss: -0.008 R -0.032 F 0.015] [G loss: 0.004]  0:24:12.769223
4261 [D loss: -0.008 R -0.029 F 0.014] [G loss: -0.001]  0:24:13.232396
4262 [D loss: -0.013 R -0.036 F 0.011] [G loss: -0.016]  0:24:13.691134
4263 [D loss: -0.007 R -0.034 F 0.019] [G loss: -0.016]  0:24:14.149021
4264 [D loss: -0.011 R -0.043 F 0.020] [G loss: -0.010]  0:24:14.607500
4265 [D loss: -0.005 R -0.028 F 0.017] [G loss: -0.005]  0:24:15.083406
4266 [D loss: -0.007 R -0.028 F 0.014] [G loss: -0.001]  0:24:15.541333
4267 [D loss: -0.006 R -0.031 F 0.019] [G loss: 0.003]  0:24:15.994665
4268 [D loss: -0.014 R -0.030 F 0.002] [G loss: 0.010]  0:24:16.414188
4269 [D loss: -0.012 R -0.031 F 0.008] [G loss: 0.000]  0:24:16.873263
4270 [D loss: -0.014 R -0.035 F 0.007] [G loss: -0.003]  0:24:17.309022
4271 [D loss: -0.012 R -0.031 F 0.008] [G loss: -0.003]  0:24:17.751720
4272 [D loss: -0.008 R -0.019 F 0.002] [G loss: 0.004]  0:24:18.209648
4273 [D loss: -0.012 R -0.023 F -0.001] [G loss: 0.012]  0:24:18.667591
4274 [D loss: -0.002 R -0.009 F 0.005] [G loss: 0.004]  0:24:19.091841
4275 [D loss: -0.010 R -0.028 F 0.008] [G loss: 0.003]  0:24:19.557547
4276 [D loss: -0.011 R -0.025 F 0.003] [G loss: 0.009]  0:24:19.997569
4277 [D loss: -0.002 R -0.017 F 0.013] [G loss: 0.000]  0:24:20.434001
4278 [D loss: -0.007 R -0.035 F 0.022] [G loss: -0.009]  0:24:20.902077
4279 [D loss: -0.006 R -0.032 F 0.019] [G loss: -0.014]  0:24:21.380356
4280 [D loss: -0.009 R -0.036 F 0.017] [G loss: -0.011]  0:24:21.824262
4281 [D loss: -0.013 R -0.033 F 0.006] [G loss: 0.009]  0:24:22.268262
4282 [D loss: -0.013 R -0.036 F 0.010] [G loss: 0.006]  0:24:22.739721
4283 [D loss: -0.008 R -0.030 F 0.015] [G loss: 0.007]  0:24:23.201619
4284 [D loss: -0.015 R -0.032 F 0.002] [G loss: -0.002]  0:24:23.622529
4285 [D loss: -0.011 R -0.024 F 0.002] [G loss: 0.006]  0:24:24.083378
4286 [D loss: -0.013 R -0.034 F 0.008] [G loss: -0.001]  0:24:24.541359
4287 [D loss: -0.007 R -0.032 F 0.018] [G loss: -0.011]  0:24:24.995151
4288 [D loss: -0.006 R -0.043 F 0.031] [G loss: -0.011]  0:24:25.425925
4289 [D loss: -0.013 R -0.041 F 0.015] [G loss: -0.014]  0:24:25.857908
4290 [D loss: -0.009 R -0.042 F 0.024] [G loss: -0.005]  0:24:26.278085
4291 [D loss: -0.021 R -0.044 F 0.003] [G loss: 0.004]  0:24:26.733650
4292 [D loss: -0.011 R -0.033 F 0.012] [G loss: -0.013]  0:24:27.162699
4293 [D loss: -0.007 R -0.034 F 0.020] [G loss: -0.007]  0:24:27.601008
4294 [D loss: -0.004 R -0.035 F 0.027] [G loss: -0.023]  0:24:28.055968
4295 [D loss: -0.013 R -0.047 F 0.021] [G loss: -0.019]  0:24:28.510777
4296 [D loss: -0.011 R -0.044 F 0.023] [G loss: -0.021]  0:24:28.957896
4297 [D loss: -0.001 R -0.030 F 0.029] [G loss: -0.011]  0:24:29.417486
4298 [D loss: -0.025 R -0.050 F -0.001] [G loss: -0.002]  0:24:29.871287
4299 [D loss: -0.012 R -0.027 F 0.004] [G loss: 0.006]  0:24:30.297175
4300 [D loss: -0.013 R -0.035 F 0.009] [G loss: 0.001]  0:24:30.755352
4301 [D loss: -0.006 R -0.031 F 0.019] [G loss: 0.003]  0:24:31.174375
4302 [D loss: -0.019 R -0.038 F -0.000] [G loss: 0.003]  0:24:31.631451
4303 [D loss: -0.012 R -0.032 F 0.009] [G loss: -0.005]  0:24:32.076480
4304 [D loss: -0.009 R -0.032 F 0.013] [G loss: -0.005]  0:24:32.532647
4305 [D loss: -0.002 R -0.025 F 0.020] [G loss: -0.009]  0:24:32.971625
4306 [D loss: -0.009 R -0.042 F 0.024] [G loss: -0.011]  0:24:33.412361
4307 [D loss: -0.012 R -0.039 F 0.016] [G loss: -0.014]  0:24:33.873623
4308 [D loss: -0.008 R -0.045 F 0.028] [G loss: -0.012]  0:24:34.329587
4309 [D loss: -0.010 R -0.041 F 0.020] [G loss: -0.014]  0:24:34.775871
4310 [D loss: -0.013 R -0.043 F 0.017] [G loss: -0.004]  0:24:35.214493
4311 [D loss: -0.013 R -0.027 F 0.002] [G loss: 0.005]  0:24:35.663401
4312 [D loss: -0.018 R -0.034 F -0.001] [G loss: 0.004]  0:24:36.128198
4313 [D loss: -0.016 R -0.032 F 0.001] [G loss: 0.006]  0:24:36.560644
4314 [D loss: -0.008 R -0.029 F 0.013] [G loss: -0.010]  0:24:37.027549
4315 [D loss: -0.016 R -0.034 F 0.003] [G loss: -0.005]  0:24:37.479072
4316 [D loss: -0.012 R -0.024 F 0.000] [G loss: -0.004]  0:24:37.924933
4317 [D loss: -0.010 R -0.036 F 0.015] [G loss: -0.004]  0:24:38.375092
4318 [D loss: -0.013 R -0.039 F 0.012] [G loss: 0.002]  0:24:38.830321
4319 [D loss: -0.011 R -0.032 F 0.010] [G loss: 0.010]  0:24:39.268367
4320 [D loss: -0.014 R -0.032 F 0.004] [G loss: 0.011]  0:24:39.719076
4321 [D loss: -0.013 R -0.040 F 0.015] [G loss: 0.004]  0:24:40.158267
4322 [D loss: -0.004 R -0.032 F 0.023] [G loss: -0.014]  0:24:40.614951
4323 [D loss: -0.006 R -0.029 F 0.017] [G loss: -0.011]  0:24:41.037452
4324 [D loss: -0.005 R -0.024 F 0.013] [G loss: -0.006]  0:24:41.473003
4325 [D loss: -0.013 R -0.029 F 0.002] [G loss: 0.007]  0:24:41.919519
4326 [D loss: -0.011 R -0.026 F 0.005] [G loss: 0.011]  0:24:42.376815
4327 [D loss: -0.016 R -0.025 F -0.007] [G loss: 0.008]  0:24:42.819039
4328 [D loss: -0.013 R -0.029 F 0.003] [G loss: -0.005]  0:24:43.267387
4329 [D loss: 0.000 R -0.023 F 0.024] [G loss: -0.006]  0:24:43.693945
4330 [D loss: -0.005 R -0.024 F 0.015] [G loss: -0.002]  0:24:44.144071
4331 [D loss: -0.011 R -0.028 F 0.007] [G loss: 0.012]  0:24:44.580039
4332 [D loss: -0.014 R -0.026 F -0.001] [G loss: 0.015]  0:24:45.013993
4333 [D loss: -0.016 R -0.024 F -0.007] [G loss: 0.005]  0:24:45.451622
4334 [D loss: -0.009 R -0.020 F 0.003] [G loss: 0.006]  0:24:45.900076
4335 [D loss: -0.017 R -0.030 F -0.004] [G loss: -0.002]  0:24:46.361721
4336 [D loss: -0.004 R -0.031 F 0.022] [G loss: -0.006]  0:24:46.801689
4337 [D loss: -0.006 R -0.025 F 0.012] [G loss: -0.000]  0:24:47.252634
4338 [D loss: -0.011 R -0.029 F 0.006] [G loss: 0.001]  0:24:47.722275
4339 [D loss: -0.015 R -0.029 F -0.002] [G loss: 0.007]  0:24:48.158944
4340 [D loss: -0.012 R -0.036 F 0.012] [G loss: -0.002]  0:24:48.628385
4341 [D loss: -0.008 R -0.033 F 0.018] [G loss: -0.015]  0:24:49.093659
4342 [D loss: -0.009 R -0.036 F 0.018] [G loss: -0.011]  0:24:49.541349
4343 [D loss: -0.004 R -0.034 F 0.025] [G loss: -0.005]  0:24:50.267387
4344 [D loss: -0.014 R -0.046 F 0.017] [G loss: -0.004]  0:24:50.719239
4345 [D loss: -0.010 R -0.035 F 0.016] [G loss: -0.000]  0:24:51.151548
4346 [D loss: -0.008 R -0.032 F 0.015] [G loss: 0.001]  0:24:51.597458
4347 [D loss: -0.013 R -0.036 F 0.009] [G loss: 0.002]  0:24:52.046769
4348 [D loss: -0.010 R -0.031 F 0.011] [G loss: 0.005]  0:24:52.480367
4349 [D loss: -0.016 R -0.030 F -0.001] [G loss: 0.005]  0:24:52.928323
4350 [D loss: -0.015 R -0.027 F -0.003] [G loss: 0.008]  0:24:53.377983
4351 [D loss: -0.012 R -0.018 F -0.005] [G loss: 0.007]  0:24:53.816226
4352 [D loss: -0.011 R -0.021 F -0.001] [G loss: -0.004]  0:24:54.247242
4353 [D loss: -0.007 R -0.030 F 0.017] [G loss: -0.011]  0:24:54.656863
4354 [D loss: -0.016 R -0.035 F 0.004] [G loss: -0.020]  0:24:55.110354
4355 [D loss: -0.008 R -0.040 F 0.024] [G loss: -0.019]  0:24:55.541628
4356 [D loss: -0.007 R -0.049 F 0.034] [G loss: -0.027]  0:24:56.013311
4357 [D loss: -0.010 R -0.058 F 0.038] [G loss: -0.029]  0:24:56.458105
4358 [D loss: -0.008 R -0.036 F 0.021] [G loss: -0.014]  0:24:56.893500
4359 [D loss: -0.013 R -0.035 F 0.009] [G loss: 0.003]  0:24:57.329130
4360 [D loss: -0.020 R -0.040 F 0.001] [G loss: 0.012]  0:24:57.764501
4361 [D loss: -0.014 R -0.045 F 0.018] [G loss: -0.002]  0:24:58.207520
4362 [D loss: -0.010 R -0.040 F 0.020] [G loss: -0.004]  0:24:58.653107
4363 [D loss: -0.016 R -0.041 F 0.009] [G loss: -0.012]  0:24:59.111736
4364 [D loss: -0.005 R -0.048 F 0.038] [G loss: -0.019]  0:24:59.580949
4365 [D loss: -0.014 R -0.054 F 0.027] [G loss: -0.024]  0:25:00.029702
4366 [D loss: -0.013 R -0.052 F 0.025] [G loss: -0.028]  0:25:00.505930
4367 [D loss: -0.010 R -0.062 F 0.042] [G loss: -0.017]  0:25:00.963572
4368 [D loss: -0.006 R -0.051 F 0.039] [G loss: -0.026]  0:25:01.415381
4369 [D loss: -0.008 R -0.050 F 0.034] [G loss: -0.021]  0:25:01.865546
4370 [D loss: -0.008 R -0.046 F 0.031] [G loss: -0.017]  0:25:02.290683
4371 [D loss: -0.010 R -0.043 F 0.023] [G loss: -0.013]  0:25:02.705180
4372 [D loss: -0.008 R -0.034 F 0.018] [G loss: -0.007]  0:25:03.146227
4373 [D loss: -0.016 R -0.041 F 0.009] [G loss: -0.008]  0:25:03.582477
4374 [D loss: -0.014 R -0.042 F 0.014] [G loss: -0.003]  0:25:04.025646
4375 [D loss: -0.009 R -0.036 F 0.018] [G loss: 0.004]  0:25:04.473009
4376 [D loss: -0.007 R -0.026 F 0.011] [G loss: -0.000]  0:25:04.922241
4377 [D loss: -0.015 R -0.029 F -0.001] [G loss: 0.011]  0:25:05.388221
4378 [D loss: -0.009 R -0.020 F 0.002] [G loss: 0.007]  0:25:05.836508
4379 [D loss: -0.018 R -0.032 F -0.003] [G loss: 0.011]  0:25:06.284259
4380 [D loss: -0.001 R -0.021 F 0.019] [G loss: 0.009]  0:25:06.729471
4381 [D loss: -0.018 R -0.034 F -0.002] [G loss: 0.008]  0:25:07.199555
4382 [D loss: -0.011 R -0.032 F 0.010] [G loss: 0.007]  0:25:07.671855
4383 [D loss: -0.010 R -0.018 F -0.001] [G loss: 0.011]  0:25:08.120122
4384 [D loss: -0.008 R -0.022 F 0.006] [G loss: 0.015]  0:25:08.574154
4385 [D loss: -0.009 R -0.023 F 0.006] [G loss: 0.013]  0:25:09.020640
4386 [D loss: -0.002 R -0.018 F 0.014] [G loss: -0.001]  0:25:09.469981
4387 [D loss: -0.008 R -0.017 F 0.001] [G loss: -0.003]  0:25:09.931001
4388 [D loss: -0.007 R -0.030 F 0.015] [G loss: -0.001]  0:25:10.405849
4389 [D loss: -0.015 R -0.040 F 0.010] [G loss: 0.008]  0:25:10.890559
4390 [D loss: -0.012 R -0.038 F 0.014] [G loss: -0.003]  0:25:11.337921
4391 [D loss: -0.008 R -0.039 F 0.022] [G loss: -0.014]  0:25:11.765816
4392 [D loss: -0.012 R -0.042 F 0.019] [G loss: -0.016]  0:25:12.278358
4393 [D loss: -0.008 R -0.036 F 0.020] [G loss: -0.014]  0:25:12.700921
4394 [D loss: -0.008 R -0.042 F 0.026] [G loss: -0.014]  0:25:13.149815
4395 [D loss: -0.006 R -0.028 F 0.016] [G loss: -0.005]  0:25:13.590827
4396 [D loss: -0.007 R -0.029 F 0.016] [G loss: -0.003]  0:25:14.034168
4397 [D loss: -0.010 R -0.026 F 0.005] [G loss: 0.003]  0:25:14.482153
4398 [D loss: -0.012 R -0.025 F 0.002] [G loss: 0.005]  0:25:14.934095
4399 [D loss: -0.012 R -0.029 F 0.005] [G loss: 0.007]  0:25:15.413335
4400 [D loss: -0.018 R -0.025 F -0.011] [G loss: 0.004]  0:25:15.853727
4401 [D loss: -0.018 R -0.033 F -0.003] [G loss: -0.006]  0:25:16.302684
4402 [D loss: -0.019 R -0.029 F -0.009] [G loss: -0.007]  0:25:16.745671
4403 [D loss: -0.006 R -0.020 F 0.008] [G loss: -0.004]  0:25:17.181196
4404 [D loss: -0.010 R -0.028 F 0.007] [G loss: 0.001]  0:25:17.676096
4405 [D loss: -0.012 R -0.032 F 0.008] [G loss: 0.003]  0:25:18.105595
4406 [D loss: -0.010 R -0.028 F 0.009] [G loss: 0.011]  0:25:18.564120
4407 [D loss: -0.011 R -0.025 F 0.003] [G loss: 0.007]  0:25:19.002705
4408 [D loss: -0.010 R -0.022 F 0.003] [G loss: 0.010]  0:25:19.483872
4409 [D loss: -0.011 R -0.025 F 0.002] [G loss: 0.013]  0:25:19.941910
4410 [D loss: -0.009 R -0.019 F 0.002] [G loss: -0.003]  0:25:20.386632
4411 [D loss: -0.007 R -0.028 F 0.014] [G loss: 0.003]  0:25:20.832391
4412 [D loss: -0.019 R -0.034 F -0.004] [G loss: -0.002]  0:25:21.242400
4413 [D loss: -0.024 R -0.045 F -0.003] [G loss: -0.006]  0:25:21.680712
4414 [D loss: -0.020 R -0.048 F 0.008] [G loss: -0.008]  0:25:22.117696
4415 [D loss: -0.004 R -0.036 F 0.028] [G loss: -0.020]  0:25:22.589550
4416 [D loss: -0.017 R -0.057 F 0.023] [G loss: -0.021]  0:25:22.998796
4417 [D loss: -0.013 R -0.044 F 0.018] [G loss: -0.013]  0:25:23.452684
4418 [D loss: -0.010 R -0.048 F 0.028] [G loss: -0.028]  0:25:23.909205
4419 [D loss: -0.005 R -0.051 F 0.042] [G loss: -0.026]  0:25:24.341681
4420 [D loss: -0.005 R -0.039 F 0.028] [G loss: -0.012]  0:25:24.787224
4421 [D loss: -0.005 R -0.028 F 0.019] [G loss: -0.006]  0:25:25.226044
4422 [D loss: -0.009 R -0.038 F 0.021] [G loss: 0.000]  0:25:25.668057
4423 [D loss: -0.012 R -0.036 F 0.013] [G loss: -0.001]  0:25:26.114007
4424 [D loss: -0.009 R -0.026 F 0.007] [G loss: -0.001]  0:25:26.567180
4425 [D loss: -0.015 R -0.038 F 0.007] [G loss: -0.002]  0:25:27.012971
4426 [D loss: -0.014 R -0.037 F 0.009] [G loss: 0.004]  0:25:27.454512
4427 [D loss: -0.012 R -0.030 F 0.006] [G loss: -0.000]  0:25:27.887567
4428 [D loss: -0.008 R -0.028 F 0.012] [G loss: 0.000]  0:25:28.324396
4429 [D loss: -0.014 R -0.031 F 0.002] [G loss: 0.001]  0:25:28.775857
4430 [D loss: -0.010 R -0.025 F 0.006] [G loss: 0.001]  0:25:29.222974
4431 [D loss: -0.010 R -0.024 F 0.004] [G loss: -0.001]  0:25:29.694353
4432 [D loss: -0.007 R -0.039 F 0.025] [G loss: -0.010]  0:25:30.161041
4433 [D loss: -0.007 R -0.034 F 0.019] [G loss: -0.011]  0:25:30.611491
4434 [D loss: -0.022 R -0.056 F 0.011] [G loss: -0.007]  0:25:31.040704
4435 [D loss: -0.016 R -0.048 F 0.016] [G loss: -0.012]  0:25:31.470655
4436 [D loss: -0.014 R -0.044 F 0.016] [G loss: -0.017]  0:25:31.940208
4437 [D loss: -0.006 R -0.041 F 0.029] [G loss: -0.034]  0:25:32.380601
4438 [D loss: -0.017 R -0.040 F 0.006] [G loss: -0.019]  0:25:32.821402
4439 [D loss: -0.019 R -0.037 F -0.001] [G loss: -0.012]  0:25:33.269584
4440 [D loss: -0.026 R -0.022 F -0.029] [G loss: 0.011]  0:25:33.696119
4441 [D loss: -0.018 R -0.025 F -0.010] [G loss: 0.009]  0:25:34.140025
4442 [D loss: -0.002 R -0.023 F 0.019] [G loss: 0.011]  0:25:34.575330
4443 [D loss: -0.014 R -0.029 F 0.000] [G loss: -0.008]  0:25:35.014692
4444 [D loss: -0.014 R -0.019 F -0.009] [G loss: -0.000]  0:25:35.460400
4445 [D loss: -0.007 R -0.036 F 0.023] [G loss: -0.006]  0:25:35.914715
4446 [D loss: -0.008 R -0.035 F 0.018] [G loss: -0.006]  0:25:36.370539
4447 [D loss: -0.014 R -0.042 F 0.015] [G loss: 0.006]  0:25:36.842099
4448 [D loss: -0.012 R -0.040 F 0.016] [G loss: 0.005]  0:25:37.319334
4449 [D loss: -0.011 R -0.029 F 0.008] [G loss: 0.007]  0:25:37.766058
4450 [D loss: -0.010 R -0.037 F 0.017] [G loss: -0.006]  0:25:38.222222
4451 [D loss: -0.008 R -0.026 F 0.009] [G loss: -0.007]  0:25:38.671113
4452 [D loss: -0.012 R -0.033 F 0.009] [G loss: -0.017]  0:25:39.128369
4453 [D loss: -0.008 R -0.036 F 0.019] [G loss: -0.004]  0:25:39.558809
4454 [D loss: -0.006 R -0.026 F 0.013] [G loss: 0.009]  0:25:40.000936
4455 [D loss: -0.010 R -0.023 F 0.003] [G loss: 0.014]  0:25:40.489396
4456 [D loss: -0.009 R -0.025 F 0.007] [G loss: 0.006]  0:25:40.933946
4457 [D loss: -0.013 R -0.030 F 0.004] [G loss: -0.003]  0:25:41.378607
4458 [D loss: -0.016 R -0.044 F 0.012] [G loss: -0.014]  0:25:41.805523
4459 [D loss: -0.011 R -0.039 F 0.018] [G loss: -0.007]  0:25:42.254536
4460 [D loss: -0.004 R -0.029 F 0.021] [G loss: -0.013]  0:25:42.700694
4461 [D loss: -0.016 R -0.044 F 0.012] [G loss: -0.002]  0:25:43.143163
4462 [D loss: -0.014 R -0.032 F 0.004] [G loss: -0.006]  0:25:43.594050
4463 [D loss: -0.014 R -0.042 F 0.014] [G loss: -0.010]  0:25:44.017870
4464 [D loss: -0.005 R -0.032 F 0.022] [G loss: -0.018]  0:25:44.448705
4465 [D loss: -0.007 R -0.036 F 0.022] [G loss: -0.010]  0:25:44.881067
4466 [D loss: -0.011 R -0.036 F 0.015] [G loss: -0.002]  0:25:45.320072
4467 [D loss: -0.013 R -0.039 F 0.013] [G loss: 0.003]  0:25:45.768720
4468 [D loss: -0.014 R -0.036 F 0.007] [G loss: 0.013]  0:25:46.221900
4469 [D loss: -0.015 R -0.030 F 0.000] [G loss: 0.014]  0:25:46.664387
4470 [D loss: -0.015 R -0.034 F 0.003] [G loss: 0.007]  0:25:47.103924
4471 [D loss: -0.006 R -0.029 F 0.018] [G loss: -0.001]  0:25:47.544764
4472 [D loss: -0.015 R -0.026 F -0.004] [G loss: -0.012]  0:25:48.015574
4473 [D loss: -0.011 R -0.037 F 0.014] [G loss: -0.015]  0:25:48.459354
4474 [D loss: -0.002 R -0.034 F 0.029] [G loss: -0.009]  0:25:48.918166
4475 [D loss: -0.011 R -0.030 F 0.009] [G loss: 0.001]  0:25:49.342195
4476 [D loss: -0.020 R -0.034 F -0.006] [G loss: 0.017]  0:25:49.805443
4477 [D loss: -0.016 R -0.023 F -0.009] [G loss: 0.019]  0:25:50.232946
4478 [D loss: -0.012 R -0.020 F -0.003] [G loss: 0.016]  0:25:50.693462
4479 [D loss: -0.007 R -0.030 F 0.016] [G loss: -0.008]  0:25:51.128899
4480 [D loss: -0.009 R -0.041 F 0.022] [G loss: -0.019]  0:25:51.567198
4481 [D loss: -0.008 R -0.035 F 0.019] [G loss: -0.015]  0:25:52.011786
4482 [D loss: -0.012 R -0.049 F 0.025] [G loss: -0.012]  0:25:52.447497
4483 [D loss: -0.016 R -0.046 F 0.014] [G loss: -0.013]  0:25:52.891456
4484 [D loss: -0.005 R -0.031 F 0.021] [G loss: -0.018]  0:25:53.357192
4485 [D loss: -0.009 R -0.055 F 0.038] [G loss: -0.022]  0:25:53.811598
4486 [D loss: -0.008 R -0.046 F 0.030] [G loss: -0.013]  0:25:54.256817
4487 [D loss: -0.013 R -0.039 F 0.013] [G loss: -0.005]  0:25:54.717311
4488 [D loss: -0.009 R -0.033 F 0.015] [G loss: -0.006]  0:25:55.149589
4489 [D loss: -0.008 R -0.034 F 0.018] [G loss: -0.009]  0:25:55.578512
4490 [D loss: -0.010 R -0.036 F 0.016] [G loss: -0.010]  0:25:56.029695
4491 [D loss: -0.007 R -0.040 F 0.027] [G loss: -0.007]  0:25:56.470735
4492 [D loss: -0.011 R -0.035 F 0.013] [G loss: -0.013]  0:25:56.934364
4493 [D loss: -0.010 R -0.041 F 0.021] [G loss: -0.010]  0:25:57.377010
4494 [D loss: -0.011 R -0.035 F 0.014] [G loss: -0.003]  0:25:57.815757
4495 [D loss: -0.010 R -0.041 F 0.022] [G loss: -0.004]  0:25:58.277874
4496 [D loss: -0.008 R -0.038 F 0.022] [G loss: -0.006]  0:25:58.752524
4497 [D loss: -0.006 R -0.036 F 0.023] [G loss: -0.012]  0:25:59.196951
4498 [D loss: -0.010 R -0.037 F 0.017] [G loss: -0.015]  0:25:59.633227
4499 [D loss: -0.012 R -0.036 F 0.012] [G loss: -0.005]  0:26:00.068179
4500 [D loss: -0.005 R -0.039 F 0.029] [G loss: -0.009]  0:26:00.493020
4501 [D loss: -0.014 R -0.043 F 0.014] [G loss: -0.007]  0:26:00.943977
4502 [D loss: -0.013 R -0.041 F 0.015] [G loss: -0.001]  0:26:01.384645
4503 [D loss: -0.013 R -0.037 F 0.010] [G loss: 0.007]  0:26:01.832193
4504 [D loss: -0.012 R -0.034 F 0.011] [G loss: 0.000]  0:26:02.273793
4505 [D loss: -0.008 R -0.040 F 0.025] [G loss: -0.014]  0:26:02.687098
4506 [D loss: 0.006 R -0.019 F 0.032] [G loss: -0.015]  0:26:03.131575
4507 [D loss: -0.011 R -0.041 F 0.020] [G loss: -0.011]  0:26:03.578831
4508 [D loss: -0.012 R -0.034 F 0.009] [G loss: -0.002]  0:26:04.018366
4509 [D loss: -0.015 R -0.026 F -0.003] [G loss: 0.012]  0:26:04.470482
4510 [D loss: -0.014 R -0.022 F -0.005] [G loss: 0.019]  0:26:04.905673
4511 [D loss: -0.018 R -0.016 F -0.020] [G loss: 0.006]  0:26:05.361580
4512 [D loss: -0.020 R -0.020 F -0.020] [G loss: 0.001]  0:26:05.794587
4513 [D loss: -0.017 R -0.022 F -0.011] [G loss: 0.000]  0:26:06.237392
4514 [D loss: -0.003 R -0.034 F 0.029] [G loss: -0.014]  0:26:06.667270
4515 [D loss: -0.001 R -0.026 F 0.025] [G loss: -0.004]  0:26:07.113869
4516 [D loss: -0.010 R -0.030 F 0.011] [G loss: 0.005]  0:26:07.583640
4517 [D loss: -0.013 R -0.032 F 0.007] [G loss: 0.009]  0:26:08.069466
4518 [D loss: -0.012 R -0.031 F 0.008] [G loss: 0.001]  0:26:08.761291
4519 [D loss: -0.017 R -0.042 F 0.007] [G loss: -0.007]  0:26:09.206534
4520 [D loss: -0.010 R -0.030 F 0.010] [G loss: -0.009]  0:26:09.639389
4521 [D loss: -0.004 R -0.029 F 0.021] [G loss: -0.013]  0:26:10.076886
4522 [D loss: -0.011 R -0.034 F 0.013] [G loss: -0.010]  0:26:10.550468
4523 [D loss: -0.014 R -0.041 F 0.014] [G loss: 0.002]  0:26:10.996312
4524 [D loss: -0.019 R -0.042 F 0.004] [G loss: 0.002]  0:26:11.448223
4525 [D loss: -0.011 R -0.038 F 0.015] [G loss: -0.001]  0:26:11.890905
4526 [D loss: -0.012 R -0.036 F 0.011] [G loss: -0.011]  0:26:12.318513
4527 [D loss: -0.014 R -0.035 F 0.008] [G loss: -0.001]  0:26:12.769490
4528 [D loss: -0.012 R -0.029 F 0.006] [G loss: -0.008]  0:26:13.224972
4529 [D loss: -0.010 R -0.028 F 0.008] [G loss: -0.003]  0:26:13.696391
4530 [D loss: -0.013 R -0.039 F 0.014] [G loss: -0.001]  0:26:14.120787
4531 [D loss: -0.005 R -0.033 F 0.023] [G loss: 0.005]  0:26:14.569334
4532 [D loss: -0.017 R -0.039 F 0.006] [G loss: 0.005]  0:26:15.027228
4533 [D loss: -0.008 R -0.026 F 0.010] [G loss: 0.005]  0:26:15.462517
4534 [D loss: -0.012 R -0.029 F 0.004] [G loss: -0.003]  0:26:15.921989
4535 [D loss: -0.008 R -0.031 F 0.016] [G loss: -0.004]  0:26:16.367832
4536 [D loss: -0.009 R -0.029 F 0.012] [G loss: -0.004]  0:26:16.813491
4537 [D loss: -0.008 R -0.028 F 0.012] [G loss: -0.002]  0:26:17.243207
4538 [D loss: -0.014 R -0.041 F 0.012] [G loss: -0.005]  0:26:17.703534
4539 [D loss: -0.013 R -0.038 F 0.013] [G loss: -0.006]  0:26:18.149722
4540 [D loss: -0.011 R -0.035 F 0.013] [G loss: 0.006]  0:26:18.610766
4541 [D loss: -0.009 R -0.032 F 0.015] [G loss: -0.007]  0:26:19.090419
4542 [D loss: 0.001 R -0.025 F 0.027] [G loss: -0.014]  0:26:19.515843
4543 [D loss: -0.005 R -0.036 F 0.026] [G loss: -0.011]  0:26:19.959154
4544 [D loss: -0.008 R -0.033 F 0.017] [G loss: -0.012]  0:26:20.406076
4545 [D loss: -0.006 R -0.036 F 0.024] [G loss: -0.009]  0:26:20.902659
4546 [D loss: -0.010 R -0.039 F 0.019] [G loss: -0.009]  0:26:21.362729
4547 [D loss: -0.010 R -0.047 F 0.028] [G loss: 0.001]  0:26:21.786274
4548 [D loss: -0.009 R -0.037 F 0.020] [G loss: -0.007]  0:26:22.250588
4549 [D loss: -0.013 R -0.040 F 0.015] [G loss: -0.004]  0:26:22.696553
4550 [D loss: -0.010 R -0.033 F 0.012] [G loss: 0.007]  0:26:23.138146
4551 [D loss: -0.006 R -0.027 F 0.016] [G loss: -0.009]  0:26:23.609856
4552 [D loss: -0.011 R -0.041 F 0.019] [G loss: -0.008]  0:26:24.030583
4553 [D loss: 0.006 R -0.024 F 0.035] [G loss: -0.006]  0:26:24.462186
4554 [D loss: -0.006 R -0.037 F 0.024] [G loss: -0.008]  0:26:24.908183
4555 [D loss: -0.009 R -0.038 F 0.020] [G loss: -0.004]  0:26:25.348049
4556 [D loss: -0.012 R -0.030 F 0.005] [G loss: 0.003]  0:26:25.794981
4557 [D loss: -0.017 R -0.040 F 0.005] [G loss: 0.008]  0:26:26.216205
4558 [D loss: -0.001 R -0.019 F 0.018] [G loss: 0.003]  0:26:26.659572
4559 [D loss: -0.011 R -0.035 F 0.012] [G loss: -0.004]  0:26:27.139669
4560 [D loss: -0.009 R -0.035 F 0.016] [G loss: -0.005]  0:26:27.575778
4561 [D loss: -0.005 R -0.030 F 0.020] [G loss: -0.003]  0:26:28.057924
4562 [D loss: -0.008 R -0.035 F 0.018] [G loss: -0.007]  0:26:28.532465
4563 [D loss: -0.007 R -0.039 F 0.026] [G loss: -0.013]  0:26:28.956519
4564 [D loss: -0.018 R -0.043 F 0.008] [G loss: -0.009]  0:26:29.413277
4565 [D loss: -0.006 R -0.039 F 0.027] [G loss: -0.009]  0:26:29.875791
4566 [D loss: -0.012 R -0.034 F 0.011] [G loss: 0.005]  0:26:30.327621
4567 [D loss: -0.004 R -0.023 F 0.014] [G loss: 0.005]  0:26:30.775860
4568 [D loss: -0.009 R -0.025 F 0.007] [G loss: 0.003]  0:26:31.202288
4569 [D loss: -0.004 R -0.021 F 0.012] [G loss: 0.002]  0:26:31.645267
4570 [D loss: -0.007 R -0.021 F 0.006] [G loss: 0.008]  0:26:32.068269
4571 [D loss: -0.007 R -0.015 F 0.001] [G loss: 0.005]  0:26:32.551648
4572 [D loss: -0.008 R -0.020 F 0.004] [G loss: 0.007]  0:26:32.991880
4573 [D loss: -0.016 R -0.036 F 0.004] [G loss: 0.013]  0:26:33.435374
4574 [D loss: -0.010 R -0.024 F 0.004] [G loss: 0.010]  0:26:33.894067
4575 [D loss: -0.015 R -0.036 F 0.006] [G loss: 0.007]  0:26:34.352569
4576 [D loss: -0.015 R -0.031 F 0.001] [G loss: 0.002]  0:26:34.830012
4577 [D loss: -0.014 R -0.048 F 0.020] [G loss: -0.009]  0:26:35.253347
4578 [D loss: 0.002 R -0.025 F 0.029] [G loss: -0.015]  0:26:35.706200
4579 [D loss: -0.010 R -0.032 F 0.012] [G loss: -0.003]  0:26:36.140207
4580 [D loss: -0.011 R -0.035 F 0.014] [G loss: 0.002]  0:26:36.575564
4581 [D loss: -0.011 R -0.040 F 0.017] [G loss: -0.002]  0:26:37.011108
4582 [D loss: -0.010 R -0.037 F 0.018] [G loss: -0.007]  0:26:37.448633
4583 [D loss: -0.011 R -0.033 F 0.011] [G loss: -0.006]  0:26:37.892226
4584 [D loss: -0.010 R -0.034 F 0.013] [G loss: -0.009]  0:26:38.321144
4585 [D loss: -0.009 R -0.037 F 0.019] [G loss: 0.002]  0:26:38.774605
4586 [D loss: -0.006 R -0.038 F 0.026] [G loss: -0.009]  0:26:39.211143
4587 [D loss: -0.015 R -0.052 F 0.022] [G loss: -0.006]  0:26:39.682988
4588 [D loss: 0.000 R -0.022 F 0.023] [G loss: -0.013]  0:26:40.115908
4589 [D loss: -0.013 R -0.034 F 0.007] [G loss: -0.009]  0:26:40.567237
4590 [D loss: -0.007 R -0.027 F 0.013] [G loss: 0.001]  0:26:41.011678
4591 [D loss: -0.012 R -0.032 F 0.008] [G loss: -0.000]  0:26:41.459005
4592 [D loss: -0.006 R -0.024 F 0.012] [G loss: 0.006]  0:26:41.913327
4593 [D loss: -0.013 R -0.032 F 0.006] [G loss: 0.002]  0:26:42.377943
4594 [D loss: -0.014 R -0.034 F 0.007] [G loss: 0.006]  0:26:42.821835
4595 [D loss: -0.011 R -0.025 F 0.002] [G loss: 0.008]  0:26:43.273165
4596 [D loss: -0.009 R -0.024 F 0.005] [G loss: 0.009]  0:26:43.719381
4597 [D loss: -0.015 R -0.034 F 0.003] [G loss: 0.004]  0:26:44.161162
4598 [D loss: -0.007 R -0.028 F 0.014] [G loss: -0.009]  0:26:44.587412
4599 [D loss: -0.003 R -0.029 F 0.024] [G loss: -0.020]  0:26:45.022686
4600 [D loss: -0.004 R -0.019 F 0.011] [G loss: -0.011]  0:26:45.465634
4601 [D loss: -0.014 R -0.038 F 0.011] [G loss: -0.004]  0:26:45.906466
4602 [D loss: -0.012 R -0.042 F 0.018] [G loss: -0.006]  0:26:46.346046
4603 [D loss: -0.007 R -0.038 F 0.024] [G loss: -0.005]  0:26:46.770329
4604 [D loss: -0.014 R -0.041 F 0.014] [G loss: -0.007]  0:26:47.235725
4605 [D loss: -0.009 R -0.033 F 0.016] [G loss: 0.008]  0:26:47.685728
4606 [D loss: -0.009 R -0.025 F 0.006] [G loss: 0.008]  0:26:48.126052
4607 [D loss: -0.018 R -0.031 F -0.004] [G loss: 0.008]  0:26:48.575714
4608 [D loss: -0.004 R -0.019 F 0.012] [G loss: -0.006]  0:26:49.005047
4609 [D loss: -0.009 R -0.034 F 0.016] [G loss: 0.002]  0:26:49.458357
4610 [D loss: -0.009 R -0.031 F 0.013] [G loss: 0.004]  0:26:49.881281
4611 [D loss: -0.013 R -0.039 F 0.012] [G loss: -0.006]  0:26:50.318257
4612 [D loss: -0.005 R -0.032 F 0.023] [G loss: -0.016]  0:26:50.754403
4613 [D loss: -0.005 R -0.039 F 0.029] [G loss: -0.016]  0:26:51.211586
4614 [D loss: -0.004 R -0.034 F 0.026] [G loss: -0.019]  0:26:51.670384
4615 [D loss: -0.006 R -0.033 F 0.021] [G loss: -0.013]  0:26:52.148727
4616 [D loss: -0.012 R -0.044 F 0.020] [G loss: -0.008]  0:26:52.614055
4617 [D loss: -0.006 R -0.027 F 0.016] [G loss: -0.008]  0:26:53.060327
4618 [D loss: -0.006 R -0.036 F 0.024] [G loss: -0.005]  0:26:53.508562
4619 [D loss: -0.006 R -0.033 F 0.020] [G loss: -0.004]  0:26:53.938533
4620 [D loss: -0.012 R -0.034 F 0.011] [G loss: -0.005]  0:26:54.391836
4621 [D loss: -0.012 R -0.036 F 0.012] [G loss: -0.010]  0:26:54.851939
4622 [D loss: -0.003 R -0.022 F 0.017] [G loss: -0.001]  0:26:55.279990
4623 [D loss: -0.013 R -0.031 F 0.006] [G loss: 0.000]  0:26:55.752373
4624 [D loss: -0.008 R -0.026 F 0.010] [G loss: -0.009]  0:26:56.187281
4625 [D loss: -0.011 R -0.034 F 0.011] [G loss: -0.001]  0:26:56.630005
4626 [D loss: -0.013 R -0.039 F 0.012] [G loss: 0.002]  0:26:57.060017
4627 [D loss: -0.020 R -0.035 F -0.006] [G loss: 0.003]  0:26:57.505309
4628 [D loss: -0.012 R -0.030 F 0.005] [G loss: 0.002]  0:26:57.932057
4629 [D loss: -0.008 R -0.029 F 0.013] [G loss: -0.006]  0:26:58.357703
4630 [D loss: -0.008 R -0.035 F 0.019] [G loss: -0.012]  0:26:58.788058
4631 [D loss: -0.009 R -0.030 F 0.011] [G loss: 0.005]  0:26:59.233275
4632 [D loss: -0.010 R -0.020 F -0.001] [G loss: 0.009]  0:26:59.690215
4633 [D loss: -0.007 R -0.022 F 0.007] [G loss: -0.002]  0:27:00.129823
4634 [D loss: -0.011 R -0.034 F 0.012] [G loss: -0.004]  0:27:00.588593
4635 [D loss: -0.008 R -0.035 F 0.019] [G loss: -0.009]  0:27:01.006303
4636 [D loss: -0.014 R -0.034 F 0.007] [G loss: 0.002]  0:27:01.442085
4637 [D loss: -0.018 R -0.035 F -0.001] [G loss: 0.013]  0:27:01.900480
4638 [D loss: -0.011 R -0.024 F 0.003] [G loss: 0.012]  0:27:02.363324
4639 [D loss: -0.014 R -0.022 F -0.006] [G loss: 0.009]  0:27:02.801491
4640 [D loss: -0.011 R -0.018 F -0.004] [G loss: 0.010]  0:27:03.266889
4641 [D loss: -0.011 R -0.017 F -0.006] [G loss: 0.007]  0:27:03.723280
4642 [D loss: -0.013 R -0.031 F 0.006] [G loss: 0.004]  0:27:04.179657
4643 [D loss: -0.013 R -0.030 F 0.004] [G loss: 0.006]  0:27:04.621953
4644 [D loss: -0.015 R -0.019 F -0.011] [G loss: 0.012]  0:27:05.077474
4645 [D loss: -0.020 R -0.018 F -0.022] [G loss: 0.020]  0:27:05.502636
4646 [D loss: -0.017 R -0.014 F -0.021] [G loss: 0.015]  0:27:05.952256
4647 [D loss: -0.017 R -0.018 F -0.017] [G loss: 0.023]  0:27:06.376401
4648 [D loss: -0.016 R -0.020 F -0.012] [G loss: 0.009]  0:27:06.811959
4649 [D loss: -0.000 R -0.023 F 0.022] [G loss: -0.003]  0:27:07.266902
4650 [D loss: -0.012 R -0.029 F 0.005] [G loss: -0.003]  0:27:07.725136
4651 [D loss: -0.012 R -0.042 F 0.018] [G loss: -0.009]  0:27:08.159613
4652 [D loss: -0.019 R -0.036 F -0.002] [G loss: -0.010]  0:27:08.598715
4653 [D loss: -0.025 R -0.059 F 0.009] [G loss: -0.028]  0:27:09.036979
4654 [D loss: -0.020 R -0.047 F 0.007] [G loss: -0.023]  0:27:09.493064
4655 [D loss: -0.013 R -0.055 F 0.030] [G loss: -0.027]  0:27:09.946978
4656 [D loss: -0.008 R -0.045 F 0.029] [G loss: -0.015]  0:27:10.412401
4657 [D loss: -0.014 R -0.041 F 0.014] [G loss: -0.005]  0:27:10.860119
4658 [D loss: -0.015 R -0.048 F 0.018] [G loss: -0.006]  0:27:11.289891
4659 [D loss: -0.008 R -0.037 F 0.020] [G loss: -0.021]  0:27:11.702348
4660 [D loss: -0.004 R -0.034 F 0.026] [G loss: -0.014]  0:27:12.128399
4661 [D loss: -0.006 R -0.048 F 0.036] [G loss: -0.027]  0:27:12.572093
4662 [D loss: -0.006 R -0.048 F 0.037] [G loss: -0.012]  0:27:13.022173
4663 [D loss: -0.016 R -0.049 F 0.017] [G loss: -0.014]  0:27:13.446706
4664 [D loss: -0.014 R -0.041 F 0.014] [G loss: 0.001]  0:27:13.884488
4665 [D loss: -0.009 R -0.032 F 0.014] [G loss: 0.003]  0:27:14.337297
4666 [D loss: -0.010 R -0.029 F 0.009] [G loss: -0.004]  0:27:14.773391
4667 [D loss: -0.004 R -0.023 F 0.016] [G loss: -0.006]  0:27:15.226518
4668 [D loss: 0.000 R -0.017 F 0.018] [G loss: -0.005]  0:27:15.671409
4669 [D loss: 0.002 R -0.013 F 0.017] [G loss: -0.010]  0:27:16.110759
4670 [D loss: -0.005 R -0.023 F 0.013] [G loss: -0.004]  0:27:16.552910
4671 [D loss: -0.010 R -0.030 F 0.010] [G loss: 0.001]  0:27:17.032406
4672 [D loss: -0.017 R -0.034 F -0.001] [G loss: 0.005]  0:27:17.489938
4673 [D loss: -0.010 R -0.030 F 0.010] [G loss: -0.001]  0:27:17.948341
4674 [D loss: -0.009 R -0.041 F 0.023] [G loss: -0.004]  0:27:18.394156
4675 [D loss: -0.010 R -0.032 F 0.013] [G loss: -0.004]  0:27:18.797350
4676 [D loss: -0.013 R -0.035 F 0.009] [G loss: -0.004]  0:27:19.273702
4677 [D loss: -0.020 R -0.041 F 0.001] [G loss: -0.004]  0:27:19.730704
4678 [D loss: -0.003 R -0.037 F 0.031] [G loss: -0.026]  0:27:20.189606
4679 [D loss: -0.009 R -0.048 F 0.030] [G loss: -0.031]  0:27:20.663295
4680 [D loss: -0.008 R -0.044 F 0.028] [G loss: -0.022]  0:27:21.114214
4681 [D loss: -0.010 R -0.047 F 0.026] [G loss: -0.014]  0:27:21.591538
4682 [D loss: -0.025 R -0.050 F 0.000] [G loss: 0.001]  0:27:22.029250
4683 [D loss: -0.022 R -0.041 F -0.003] [G loss: 0.003]  0:27:22.488240
4684 [D loss: -0.007 R -0.028 F 0.015] [G loss: 0.009]  0:27:22.997999
4685 [D loss: -0.012 R -0.031 F 0.006] [G loss: 0.004]  0:27:23.449488
4686 [D loss: -0.003 R -0.031 F 0.024] [G loss: 0.004]  0:27:23.906264
4687 [D loss: -0.011 R -0.032 F 0.009] [G loss: -0.003]  0:27:24.347753
4688 [D loss: -0.014 R -0.036 F 0.007] [G loss: -0.003]  0:27:24.799949
4689 [D loss: -0.007 R -0.036 F 0.021] [G loss: -0.010]  0:27:25.243706
4690 [D loss: -0.009 R -0.034 F 0.015] [G loss: -0.014]  0:27:25.701957
4691 [D loss: -0.006 R -0.031 F 0.018] [G loss: -0.003]  0:27:26.158018
4692 [D loss: -0.006 R -0.034 F 0.021] [G loss: -0.014]  0:27:26.888857
4693 [D loss: -0.008 R -0.033 F 0.018] [G loss: -0.006]  0:27:27.331796
4694 [D loss: -0.008 R -0.034 F 0.019] [G loss: -0.014]  0:27:27.759689
4695 [D loss: -0.007 R -0.043 F 0.028] [G loss: -0.014]  0:27:28.206341
4696 [D loss: -0.010 R -0.035 F 0.015] [G loss: -0.006]  0:27:28.638612
4697 [D loss: -0.011 R -0.041 F 0.020] [G loss: 0.002]  0:27:29.071672
4698 [D loss: -0.014 R -0.041 F 0.012] [G loss: 0.000]  0:27:29.532336
4699 [D loss: -0.009 R -0.040 F 0.021] [G loss: -0.003]  0:27:29.988130
4700 [D loss: -0.015 R -0.047 F 0.018] [G loss: -0.004]  0:27:30.467240
4701 [D loss: -0.010 R -0.045 F 0.024] [G loss: -0.015]  0:27:30.900199
4702 [D loss: -0.007 R -0.042 F 0.028] [G loss: -0.019]  0:27:31.330822
4703 [D loss: -0.013 R -0.043 F 0.016] [G loss: -0.021]  0:27:31.757211
4704 [D loss: -0.002 R -0.026 F 0.022] [G loss: -0.015]  0:27:32.221491
4705 [D loss: -0.003 R -0.023 F 0.017] [G loss: 0.004]  0:27:32.667305
4706 [D loss: -0.013 R -0.025 F -0.001] [G loss: 0.013]  0:27:33.119731
4707 [D loss: -0.019 R -0.028 F -0.010] [G loss: 0.022]  0:27:33.596403
4708 [D loss: -0.010 R -0.020 F -0.000] [G loss: 0.009]  0:27:34.040062
4709 [D loss: -0.004 R -0.013 F 0.005] [G loss: 0.001]  0:27:34.472994
4710 [D loss: -0.007 R -0.029 F 0.015] [G loss: -0.007]  0:27:34.918081
4711 [D loss: -0.009 R -0.035 F 0.017] [G loss: -0.007]  0:27:35.344105
4712 [D loss: -0.010 R -0.033 F 0.012] [G loss: -0.012]  0:27:35.825089
4713 [D loss: -0.017 R -0.031 F -0.002] [G loss: -0.011]  0:27:36.281713
4714 [D loss: -0.008 R -0.019 F 0.004] [G loss: -0.004]  0:27:36.725303
4715 [D loss: -0.014 R -0.027 F -0.002] [G loss: 0.005]  0:27:37.175101
4716 [D loss: -0.001 R -0.019 F 0.017] [G loss: 0.005]  0:27:37.611397
4717 [D loss: -0.012 R -0.033 F 0.010] [G loss: -0.002]  0:27:38.061191
4718 [D loss: -0.015 R -0.040 F 0.009] [G loss: -0.003]  0:27:38.516733
4719 [D loss: -0.008 R -0.018 F 0.001] [G loss: -0.002]  0:27:38.939387
4720 [D loss: -0.012 R -0.033 F 0.010] [G loss: 0.005]  0:27:39.391633
4721 [D loss: -0.007 R -0.035 F 0.021] [G loss: 0.001]  0:27:39.825063
4722 [D loss: -0.012 R -0.038 F 0.014] [G loss: 0.004]  0:27:40.282166
4723 [D loss: -0.010 R -0.040 F 0.021] [G loss: -0.000]  0:27:40.719484
4724 [D loss: -0.009 R -0.033 F 0.015] [G loss: -0.008]  0:27:41.160278
4725 [D loss: -0.006 R -0.031 F 0.019] [G loss: -0.006]  0:27:41.644085
4726 [D loss: -0.003 R -0.041 F 0.034] [G loss: -0.011]  0:27:42.065786
4727 [D loss: 0.002 R -0.025 F 0.030] [G loss: -0.015]  0:27:42.546600
4728 [D loss: -0.008 R -0.035 F 0.020] [G loss: -0.008]  0:27:42.984426
4729 [D loss: -0.009 R -0.029 F 0.011] [G loss: -0.003]  0:27:43.439239
4730 [D loss: -0.010 R -0.024 F 0.003] [G loss: 0.012]  0:27:43.878666
4731 [D loss: -0.011 R -0.026 F 0.004] [G loss: 0.003]  0:27:44.324877
4732 [D loss: -0.005 R -0.019 F 0.009] [G loss: 0.007]  0:27:44.797896
4733 [D loss: -0.013 R -0.037 F 0.012] [G loss: 0.001]  0:27:45.210731
4734 [D loss: -0.017 R -0.040 F 0.007] [G loss: -0.008]  0:27:45.651951
4735 [D loss: -0.000 R -0.028 F 0.028] [G loss: -0.006]  0:27:46.106089
4736 [D loss: -0.010 R -0.028 F 0.008] [G loss: -0.001]  0:27:46.551756
4737 [D loss: -0.013 R -0.033 F 0.007] [G loss: 0.002]  0:27:46.991485
4738 [D loss: -0.012 R -0.030 F 0.007] [G loss: -0.004]  0:27:47.412930
4739 [D loss: -0.012 R -0.036 F 0.012] [G loss: -0.010]  0:27:47.847704
4740 [D loss: -0.003 R -0.025 F 0.019] [G loss: -0.014]  0:27:48.329360
4741 [D loss: -0.004 R -0.026 F 0.019] [G loss: -0.004]  0:27:48.750584
4742 [D loss: -0.012 R -0.030 F 0.007] [G loss: 0.006]  0:27:49.193481
4743 [D loss: -0.010 R -0.027 F 0.007] [G loss: -0.000]  0:27:49.623075
4744 [D loss: -0.010 R -0.028 F 0.008] [G loss: 0.003]  0:27:50.063475
4745 [D loss: -0.007 R -0.020 F 0.006] [G loss: -0.006]  0:27:50.485038
4746 [D loss: -0.009 R -0.035 F 0.017] [G loss: -0.011]  0:27:50.930140
4747 [D loss: -0.007 R -0.039 F 0.026] [G loss: -0.020]  0:27:51.366810
4748 [D loss: -0.005 R -0.039 F 0.029] [G loss: -0.023]  0:27:51.802699
4749 [D loss: -0.011 R -0.045 F 0.023] [G loss: -0.017]  0:27:52.233449
4750 [D loss: -0.010 R -0.045 F 0.025] [G loss: -0.012]  0:27:52.696954
4751 [D loss: -0.018 R -0.051 F 0.015] [G loss: -0.006]  0:27:53.142089
4752 [D loss: -0.008 R -0.033 F 0.016] [G loss: 0.006]  0:27:53.583888
4753 [D loss: -0.014 R -0.047 F 0.019] [G loss: -0.005]  0:27:54.023754
4754 [D loss: -0.007 R -0.027 F 0.014] [G loss: -0.006]  0:27:54.468718
4755 [D loss: -0.010 R -0.026 F 0.006] [G loss: -0.006]  0:27:54.892236
4756 [D loss: -0.005 R -0.033 F 0.023] [G loss: -0.006]  0:27:55.345049
4757 [D loss: -0.009 R -0.031 F 0.014] [G loss: 0.002]  0:27:55.792811
4758 [D loss: -0.007 R -0.021 F 0.006] [G loss: 0.006]  0:27:56.245727
4759 [D loss: -0.013 R -0.034 F 0.008] [G loss: 0.003]  0:27:56.681819
4760 [D loss: -0.014 R -0.032 F 0.004] [G loss: -0.003]  0:27:57.126419
4761 [D loss: -0.015 R -0.036 F 0.007] [G loss: 0.000]  0:27:57.559274
4762 [D loss: -0.008 R -0.024 F 0.009] [G loss: -0.004]  0:27:57.995343
4763 [D loss: -0.012 R -0.026 F 0.002] [G loss: 0.001]  0:27:58.446773
4764 [D loss: -0.005 R -0.023 F 0.013] [G loss: 0.003]  0:27:58.894003
4765 [D loss: -0.010 R -0.033 F 0.013] [G loss: -0.001]  0:27:59.332211
4766 [D loss: -0.014 R -0.036 F 0.009] [G loss: 0.003]  0:27:59.778004
4767 [D loss: -0.009 R -0.039 F 0.020] [G loss: -0.001]  0:28:00.240749
4768 [D loss: -0.014 R -0.044 F 0.015] [G loss: -0.008]  0:28:00.695609
4769 [D loss: -0.008 R -0.035 F 0.019] [G loss: -0.018]  0:28:01.155026
4770 [D loss: -0.003 R -0.023 F 0.016] [G loss: -0.018]  0:28:01.598011
4771 [D loss: -0.010 R -0.047 F 0.027] [G loss: -0.025]  0:28:02.021728
4772 [D loss: -0.010 R -0.047 F 0.027] [G loss: -0.017]  0:28:02.458175
4773 [D loss: -0.011 R -0.044 F 0.022] [G loss: -0.021]  0:28:02.908161
4774 [D loss: -0.014 R -0.045 F 0.017] [G loss: -0.011]  0:28:03.336318
4775 [D loss: -0.012 R -0.039 F 0.016] [G loss: -0.011]  0:28:03.789633
4776 [D loss: -0.014 R -0.042 F 0.014] [G loss: -0.005]  0:28:04.214867
4777 [D loss: -0.020 R -0.051 F 0.011] [G loss: -0.002]  0:28:04.667068
4778 [D loss: -0.014 R -0.040 F 0.012] [G loss: 0.001]  0:28:05.113774
4779 [D loss: -0.004 R -0.023 F 0.016] [G loss: -0.001]  0:28:05.571581
4780 [D loss: -0.005 R -0.014 F 0.005] [G loss: -0.003]  0:28:06.022286
4781 [D loss: -0.005 R -0.014 F 0.004] [G loss: 0.000]  0:28:06.464509
4782 [D loss: -0.011 R -0.023 F 0.001] [G loss: -0.002]  0:28:06.925251
4783 [D loss: -0.016 R -0.032 F 0.001] [G loss: 0.001]  0:28:07.382053
4784 [D loss: -0.006 R -0.015 F 0.004] [G loss: -0.001]  0:28:07.850755
4785 [D loss: -0.011 R -0.023 F 0.001] [G loss: 0.013]  0:28:08.289764
4786 [D loss: -0.011 R -0.023 F 0.001] [G loss: 0.017]  0:28:08.748453
4787 [D loss: -0.008 R -0.013 F -0.003] [G loss: 0.012]  0:28:09.197427
4788 [D loss: -0.011 R -0.015 F -0.007] [G loss: 0.010]  0:28:09.637649
4789 [D loss: -0.009 R -0.025 F 0.008] [G loss: 0.003]  0:28:10.085876
4790 [D loss: -0.012 R -0.029 F 0.006] [G loss: 0.001]  0:28:10.567306
4791 [D loss: -0.012 R -0.024 F 0.001] [G loss: -0.005]  0:28:11.016450
4792 [D loss: -0.009 R -0.029 F 0.011] [G loss: -0.006]  0:28:11.471323
4793 [D loss: -0.005 R -0.032 F 0.023] [G loss: -0.002]  0:28:11.931247
4794 [D loss: -0.013 R -0.035 F 0.008] [G loss: -0.003]  0:28:12.356150
4795 [D loss: -0.009 R -0.036 F 0.019] [G loss: -0.014]  0:28:12.810425
4796 [D loss: -0.020 R -0.049 F 0.010] [G loss: -0.012]  0:28:13.281702
4797 [D loss: -0.006 R -0.035 F 0.023] [G loss: -0.012]  0:28:13.727539
4798 [D loss: -0.008 R -0.036 F 0.019] [G loss: -0.007]  0:28:14.164073
4799 [D loss: -0.012 R -0.035 F 0.012] [G loss: -0.009]  0:28:14.595067
4800 [D loss: -0.015 R -0.034 F 0.005] [G loss: 0.004]  0:28:15.038099
4801 [D loss: -0.007 R -0.040 F 0.025] [G loss: 0.007]  0:28:15.472489
4802 [D loss: -0.012 R -0.028 F 0.004] [G loss: -0.004]  0:28:15.919226
4803 [D loss: -0.005 R -0.024 F 0.014] [G loss: 0.008]  0:28:16.365973
4804 [D loss: -0.002 R -0.021 F 0.017] [G loss: 0.006]  0:28:16.823022
4805 [D loss: -0.015 R -0.026 F -0.005] [G loss: 0.012]  0:28:17.276910
4806 [D loss: -0.007 R -0.020 F 0.006] [G loss: 0.011]  0:28:17.714795
4807 [D loss: -0.017 R -0.028 F -0.005] [G loss: 0.006]  0:28:18.172109
4808 [D loss: -0.010 R -0.034 F 0.013] [G loss: -0.001]  0:28:18.610505
4809 [D loss: -0.002 R -0.032 F 0.027] [G loss: -0.003]  0:28:19.051401
4810 [D loss: -0.006 R -0.036 F 0.024] [G loss: -0.011]  0:28:19.493970
4811 [D loss: -0.011 R -0.036 F 0.014] [G loss: -0.002]  0:28:19.941161
4812 [D loss: -0.008 R -0.036 F 0.020] [G loss: -0.004]  0:28:20.370440
4813 [D loss: -0.009 R -0.026 F 0.008] [G loss: 0.006]  0:28:20.837271
4814 [D loss: -0.008 R -0.027 F 0.011] [G loss: 0.007]  0:28:21.282791
4815 [D loss: -0.012 R -0.038 F 0.014] [G loss: -0.005]  0:28:21.725820
4816 [D loss: -0.005 R -0.027 F 0.017] [G loss: -0.007]  0:28:22.174021
4817 [D loss: -0.005 R -0.022 F 0.011] [G loss: -0.006]  0:28:22.610104
4818 [D loss: -0.006 R -0.029 F 0.017] [G loss: -0.005]  0:28:23.055970
4819 [D loss: -0.005 R -0.023 F 0.014] [G loss: 0.003]  0:28:23.495725
4820 [D loss: -0.021 R -0.036 F -0.005] [G loss: 0.006]  0:28:23.931974
4821 [D loss: -0.013 R -0.021 F -0.006] [G loss: 0.009]  0:28:24.376426
4822 [D loss: -0.004 R -0.026 F 0.017] [G loss: -0.009]  0:28:24.806773
4823 [D loss: -0.011 R -0.029 F 0.006] [G loss: -0.009]  0:28:25.244205
4824 [D loss: -0.013 R -0.037 F 0.010] [G loss: -0.001]  0:28:25.697874
4825 [D loss: -0.007 R -0.038 F 0.023] [G loss: -0.008]  0:28:26.182718
4826 [D loss: -0.010 R -0.047 F 0.026] [G loss: -0.021]  0:28:26.609162
4827 [D loss: -0.011 R -0.043 F 0.021] [G loss: -0.010]  0:28:27.049955
4828 [D loss: -0.010 R -0.031 F 0.011] [G loss: -0.004]  0:28:27.488486
4829 [D loss: -0.012 R -0.031 F 0.006] [G loss: 0.002]  0:28:27.942067
4830 [D loss: -0.012 R -0.031 F 0.007] [G loss: -0.001]  0:28:28.383416
4831 [D loss: -0.007 R -0.036 F 0.022] [G loss: -0.003]  0:28:28.858453
4832 [D loss: -0.006 R -0.031 F 0.018] [G loss: -0.008]  0:28:29.323497
4833 [D loss: -0.009 R -0.028 F 0.010] [G loss: -0.002]  0:28:29.767583
4834 [D loss: -0.004 R -0.028 F 0.020] [G loss: -0.007]  0:28:30.261545
4835 [D loss: -0.011 R -0.041 F 0.018] [G loss: -0.006]  0:28:30.718831
4836 [D loss: -0.004 R -0.028 F 0.020] [G loss: -0.003]  0:28:31.158438
4837 [D loss: -0.022 R -0.049 F 0.005] [G loss: -0.002]  0:28:31.620798
4838 [D loss: -0.011 R -0.044 F 0.022] [G loss: -0.003]  0:28:32.066073
4839 [D loss: -0.012 R -0.039 F 0.016] [G loss: -0.006]  0:28:32.515290
4840 [D loss: -0.013 R -0.023 F -0.003] [G loss: 0.003]  0:28:32.954457
4841 [D loss: -0.020 R -0.032 F -0.007] [G loss: -0.007]  0:28:33.402570
4842 [D loss: -0.005 R -0.034 F 0.023] [G loss: -0.014]  0:28:33.853394
4843 [D loss: -0.010 R -0.043 F 0.023] [G loss: -0.011]  0:28:34.296231
4844 [D loss: -0.008 R -0.036 F 0.020] [G loss: -0.009]  0:28:34.757960
4845 [D loss: -0.013 R -0.045 F 0.020] [G loss: -0.013]  0:28:35.196651
4846 [D loss: -0.010 R -0.038 F 0.018] [G loss: -0.018]  0:28:35.640227
4847 [D loss: -0.016 R -0.047 F 0.014] [G loss: -0.012]  0:28:36.100623
4848 [D loss: -0.002 R -0.038 F 0.034] [G loss: -0.015]  0:28:36.534145
4849 [D loss: -0.007 R -0.030 F 0.016] [G loss: -0.006]  0:28:36.978729
4850 [D loss: -0.008 R -0.019 F 0.003] [G loss: 0.000]  0:28:37.395529
4851 [D loss: -0.017 R -0.025 F -0.008] [G loss: 0.010]  0:28:37.849805
4852 [D loss: -0.022 R -0.025 F -0.019] [G loss: 0.008]  0:28:38.320994
4853 [D loss: -0.005 R -0.020 F 0.011] [G loss: 0.012]  0:28:38.751779
4854 [D loss: -0.009 R -0.024 F 0.007] [G loss: 0.002]  0:28:39.189037
4855 [D loss: -0.017 R -0.027 F -0.007] [G loss: 0.012]  0:28:39.627373
4856 [D loss: -0.015 R -0.033 F 0.002] [G loss: 0.003]  0:28:40.076505
4857 [D loss: -0.009 R -0.024 F 0.007] [G loss: 0.001]  0:28:40.504729
4858 [D loss: -0.010 R -0.041 F 0.020] [G loss: 0.004]  0:28:40.953275
4859 [D loss: -0.010 R -0.023 F 0.002] [G loss: -0.013]  0:28:41.396046
4860 [D loss: -0.004 R -0.035 F 0.028] [G loss: -0.006]  0:28:41.830626
4861 [D loss: -0.013 R -0.032 F 0.006] [G loss: -0.003]  0:28:42.277160
4862 [D loss: -0.008 R -0.021 F 0.005] [G loss: 0.018]  0:28:42.702055
4863 [D loss: -0.016 R -0.029 F -0.003] [G loss: 0.017]  0:28:43.159200
4864 [D loss: -0.017 R -0.030 F -0.005] [G loss: 0.014]  0:28:43.606352
4865 [D loss: -0.016 R -0.037 F 0.005] [G loss: 0.008]  0:28:44.058294
4866 [D loss: -0.011 R -0.042 F 0.020] [G loss: -0.008]  0:28:44.475565
4867 [D loss: -0.003 R -0.032 F 0.026] [G loss: -0.015]  0:28:45.198152
4868 [D loss: -0.010 R -0.037 F 0.017] [G loss: -0.015]  0:28:45.654194
4869 [D loss: -0.013 R -0.042 F 0.016] [G loss: -0.008]  0:28:46.099309
4870 [D loss: -0.011 R -0.036 F 0.014] [G loss: 0.003]  0:28:46.528566
4871 [D loss: -0.015 R -0.044 F 0.013] [G loss: -0.003]  0:28:46.966400
4872 [D loss: -0.021 R -0.048 F 0.007] [G loss: -0.005]  0:28:47.430052
4873 [D loss: -0.013 R -0.047 F 0.022] [G loss: -0.021]  0:28:47.868460
4874 [D loss: -0.013 R -0.042 F 0.015] [G loss: -0.013]  0:28:48.299626
4875 [D loss: -0.006 R -0.050 F 0.039] [G loss: -0.025]  0:28:48.744641
4876 [D loss: -0.000 R -0.045 F 0.045] [G loss: -0.025]  0:28:49.191835
4877 [D loss: -0.018 R -0.054 F 0.017] [G loss: -0.021]  0:28:49.635486
4878 [D loss: -0.019 R -0.033 F -0.006] [G loss: -0.002]  0:28:50.063069
4879 [D loss: -0.026 R -0.024 F -0.028] [G loss: 0.015]  0:28:50.509258
4880 [D loss: -0.006 R -0.018 F 0.006] [G loss: 0.011]  0:28:50.960756
4881 [D loss: -0.007 R -0.035 F 0.020] [G loss: -0.014]  0:28:51.414518
4882 [D loss: -0.017 R -0.028 F -0.005] [G loss: -0.012]  0:28:51.866754
4883 [D loss: -0.027 R -0.039 F -0.015] [G loss: -0.002]  0:28:52.321197
4884 [D loss: -0.028 R -0.043 F -0.013] [G loss: -0.005]  0:28:52.758111
4885 [D loss: -0.006 R -0.031 F 0.020] [G loss: -0.017]  0:28:53.252351
4886 [D loss: -0.014 R -0.054 F 0.027] [G loss: -0.032]  0:28:53.682182
4887 [D loss: -0.006 R -0.043 F 0.032] [G loss: -0.014]  0:28:54.125578
4888 [D loss: -0.014 R -0.032 F 0.003] [G loss: 0.011]  0:28:54.572720
4889 [D loss: -0.014 R -0.036 F 0.009] [G loss: 0.017]  0:28:55.034031
4890 [D loss: -0.012 R -0.033 F 0.009] [G loss: 0.014]  0:28:55.487817
4891 [D loss: 0.001 R -0.029 F 0.031] [G loss: -0.015]  0:28:55.944086
4892 [D loss: -0.020 R -0.044 F 0.005] [G loss: -0.017]  0:28:56.420248
4893 [D loss: -0.018 R -0.046 F 0.010] [G loss: -0.013]  0:28:56.850604
4894 [D loss: -0.015 R -0.051 F 0.020] [G loss: -0.015]  0:28:57.300234
4895 [D loss: -0.011 R -0.053 F 0.031] [G loss: -0.027]  0:28:57.739160
4896 [D loss: -0.006 R -0.050 F 0.039] [G loss: -0.027]  0:28:58.187493
4897 [D loss: -0.006 R -0.049 F 0.037] [G loss: -0.027]  0:28:58.650630
4898 [D loss: -0.016 R -0.050 F 0.018] [G loss: -0.022]  0:28:59.107228
4899 [D loss: -0.015 R -0.057 F 0.027] [G loss: -0.025]  0:28:59.546938
4900 [D loss: -0.001 R -0.038 F 0.037] [G loss: -0.024]  0:28:59.970338
4901 [D loss: -0.004 R -0.038 F 0.029] [G loss: -0.012]  0:29:00.415233
4902 [D loss: -0.013 R -0.031 F 0.006] [G loss: -0.003]  0:29:00.879475
4903 [D loss: -0.026 R -0.055 F 0.003] [G loss: 0.005]  0:29:01.329200
4904 [D loss: -0.017 R -0.033 F -0.001] [G loss: -0.002]  0:29:01.789241
4905 [D loss: -0.015 R -0.040 F 0.010] [G loss: 0.006]  0:29:02.247125
4906 [D loss: -0.004 R -0.037 F 0.029] [G loss: -0.011]  0:29:02.691881
4907 [D loss: -0.009 R -0.038 F 0.020] [G loss: -0.020]  0:29:03.153948
4908 [D loss: -0.009 R -0.029 F 0.010] [G loss: -0.012]  0:29:03.603349
4909 [D loss: -0.003 R -0.033 F 0.026] [G loss: -0.014]  0:29:04.041770
4910 [D loss: -0.009 R -0.035 F 0.016] [G loss: -0.000]  0:29:04.493856
4911 [D loss: -0.012 R -0.046 F 0.022] [G loss: -0.003]  0:29:04.919317
4912 [D loss: -0.012 R -0.051 F 0.027] [G loss: -0.003]  0:29:05.391737
4913 [D loss: -0.020 R -0.050 F 0.009] [G loss: -0.008]  0:29:05.805821
4914 [D loss: -0.016 R -0.053 F 0.021] [G loss: -0.018]  0:29:06.250654
4915 [D loss: -0.003 R -0.044 F 0.038] [G loss: -0.011]  0:29:06.687268
4916 [D loss: -0.001 R -0.039 F 0.038] [G loss: -0.019]  0:29:07.130234
4917 [D loss: -0.012 R -0.060 F 0.036] [G loss: -0.024]  0:29:07.578188
4918 [D loss: -0.003 R -0.048 F 0.043] [G loss: -0.027]  0:29:08.018917
4919 [D loss: -0.010 R -0.048 F 0.028] [G loss: -0.023]  0:29:08.454972
4920 [D loss: -0.007 R -0.048 F 0.034] [G loss: -0.021]  0:29:08.884124
4921 [D loss: -0.005 R -0.033 F 0.023] [G loss: -0.009]  0:29:09.331178
4922 [D loss: -0.011 R -0.035 F 0.012] [G loss: 0.000]  0:29:09.787494
4923 [D loss: -0.012 R -0.029 F 0.006] [G loss: 0.006]  0:29:10.258875
4924 [D loss: -0.010 R -0.020 F -0.001] [G loss: -0.001]  0:29:10.703260
4925 [D loss: -0.005 R -0.025 F 0.015] [G loss: -0.004]  0:29:11.144739
4926 [D loss: -0.009 R -0.026 F 0.008] [G loss: -0.005]  0:29:11.590814
4927 [D loss: -0.008 R -0.028 F 0.011] [G loss: -0.003]  0:29:12.044193
4928 [D loss: -0.012 R -0.035 F 0.010] [G loss: -0.009]  0:29:12.483675
4929 [D loss: -0.006 R -0.036 F 0.025] [G loss: -0.012]  0:29:12.919841
4930 [D loss: -0.007 R -0.034 F 0.019] [G loss: -0.012]  0:29:13.378657
4931 [D loss: -0.006 R -0.024 F 0.013] [G loss: -0.011]  0:29:13.813090
4932 [D loss: -0.012 R -0.037 F 0.013] [G loss: -0.002]  0:29:14.229690
4933 [D loss: -0.011 R -0.034 F 0.011] [G loss: 0.002]  0:29:14.666171
4934 [D loss: -0.015 R -0.047 F 0.016] [G loss: 0.006]  0:29:15.124609
4935 [D loss: -0.020 R -0.034 F -0.006] [G loss: 0.007]  0:29:15.593765
4936 [D loss: -0.012 R -0.024 F -0.000] [G loss: 0.002]  0:29:16.057404
4937 [D loss: -0.014 R -0.034 F 0.005] [G loss: 0.000]  0:29:16.521337
4938 [D loss: -0.008 R -0.023 F 0.007] [G loss: 0.006]  0:29:16.974752
4939 [D loss: -0.006 R -0.013 F 0.000] [G loss: 0.008]  0:29:17.423975
4940 [D loss: -0.010 R -0.022 F 0.002] [G loss: 0.007]  0:29:17.892161
4941 [D loss: -0.015 R -0.041 F 0.010] [G loss: 0.003]  0:29:18.334975
4942 [D loss: -0.017 R -0.039 F 0.005] [G loss: -0.001]  0:29:18.782507
4943 [D loss: -0.007 R -0.035 F 0.022] [G loss: -0.012]  0:29:19.212060
4944 [D loss: -0.001 R -0.026 F 0.025] [G loss: -0.016]  0:29:19.710380
4945 [D loss: -0.005 R -0.033 F 0.023] [G loss: -0.023]  0:29:20.173592
4946 [D loss: -0.004 R -0.030 F 0.023] [G loss: -0.011]  0:29:20.629334
4947 [D loss: -0.007 R -0.031 F 0.016] [G loss: 0.000]  0:29:21.069648
4948 [D loss: -0.013 R -0.030 F 0.004] [G loss: 0.009]  0:29:21.515195
4949 [D loss: -0.018 R -0.032 F -0.004] [G loss: 0.013]  0:29:21.963822
4950 [D loss: -0.013 R -0.034 F 0.008] [G loss: 0.008]  0:29:22.428771
4951 [D loss: -0.001 R -0.024 F 0.023] [G loss: -0.012]  0:29:22.877648
4952 [D loss: -0.009 R -0.037 F 0.019] [G loss: -0.018]  0:29:23.328419
4953 [D loss: -0.009 R -0.033 F 0.015] [G loss: -0.019]  0:29:23.818641
4954 [D loss: -0.009 R -0.038 F 0.021] [G loss: -0.005]  0:29:24.258374
4955 [D loss: -0.011 R -0.038 F 0.017] [G loss: -0.002]  0:29:24.720114
4956 [D loss: -0.013 R -0.040 F 0.013] [G loss: -0.001]  0:29:25.156734
4957 [D loss: -0.017 R -0.043 F 0.008] [G loss: -0.013]  0:29:25.610381
4958 [D loss: -0.021 R -0.045 F 0.003] [G loss: -0.008]  0:29:26.108738
4959 [D loss: -0.021 R -0.023 F -0.018] [G loss: 0.014]  0:29:26.552591
4960 [D loss: 0.000 R -0.017 F 0.018] [G loss: 0.008]  0:29:26.993146
4961 [D loss: -0.010 R -0.022 F 0.002] [G loss: 0.006]  0:29:27.417658
4962 [D loss: -0.003 R -0.017 F 0.011] [G loss: 0.001]  0:29:27.855780
4963 [D loss: -0.012 R -0.029 F 0.005] [G loss: 0.002]  0:29:28.282104
4964 [D loss: 0.001 R -0.016 F 0.017] [G loss: -0.011]  0:29:28.730373
4965 [D loss: -0.009 R -0.032 F 0.013] [G loss: -0.005]  0:29:29.155493
4966 [D loss: -0.010 R -0.036 F 0.016] [G loss: -0.007]  0:29:29.575596
4967 [D loss: -0.016 R -0.036 F 0.003] [G loss: -0.015]  0:29:30.018457
4968 [D loss: -0.013 R -0.050 F 0.024] [G loss: -0.006]  0:29:30.474258
4969 [D loss: -0.018 R -0.044 F 0.007] [G loss: -0.001]  0:29:30.926994
4970 [D loss: -0.004 R -0.031 F 0.023] [G loss: -0.015]  0:29:31.371538
4971 [D loss: -0.005 R -0.026 F 0.017] [G loss: -0.006]  0:29:31.837253
4972 [D loss: -0.003 R -0.036 F 0.030] [G loss: -0.010]  0:29:32.301525
4973 [D loss: -0.001 R -0.042 F 0.041] [G loss: -0.016]  0:29:32.753349
4974 [D loss: -0.014 R -0.044 F 0.016] [G loss: -0.014]  0:29:33.181567
4975 [D loss: -0.008 R -0.039 F 0.023] [G loss: -0.018]  0:29:33.618925
4976 [D loss: -0.010 R -0.045 F 0.026] [G loss: -0.018]  0:29:34.060299
4977 [D loss: -0.011 R -0.047 F 0.025] [G loss: -0.016]  0:29:34.505152
4978 [D loss: -0.022 R -0.056 F 0.012] [G loss: -0.014]  0:29:35.005682
4979 [D loss: -0.012 R -0.049 F 0.026] [G loss: -0.008]  0:29:35.525378
4980 [D loss: -0.006 R -0.041 F 0.029] [G loss: -0.008]  0:29:35.990117
4981 [D loss: -0.009 R -0.042 F 0.024] [G loss: -0.005]  0:29:36.459426
4982 [D loss: -0.008 R -0.044 F 0.028] [G loss: -0.012]  0:29:36.930227
4983 [D loss: -0.007 R -0.032 F 0.018] [G loss: -0.008]  0:29:37.342318
4984 [D loss: -0.017 R -0.038 F 0.005] [G loss: 0.003]  0:29:37.794399
4985 [D loss: -0.008 R -0.029 F 0.012] [G loss: 0.006]  0:29:38.218658
4986 [D loss: -0.006 R -0.028 F 0.017] [G loss: -0.005]  0:29:38.660223
4987 [D loss: -0.011 R -0.032 F 0.010] [G loss: -0.006]  0:29:39.102389
4988 [D loss: -0.008 R -0.029 F 0.013] [G loss: -0.014]  0:29:39.546177
4989 [D loss: -0.010 R -0.034 F 0.014] [G loss: -0.007]  0:29:40.012533
4990 [D loss: -0.011 R -0.034 F 0.012] [G loss: -0.004]  0:29:40.445037
4991 [D loss: -0.006 R -0.031 F 0.020] [G loss: -0.004]  0:29:40.909105
4992 [D loss: -0.012 R -0.038 F 0.015] [G loss: -0.002]  0:29:41.343333
4993 [D loss: -0.011 R -0.044 F 0.023] [G loss: -0.008]  0:29:41.828257
4994 [D loss: -0.009 R -0.033 F 0.014] [G loss: -0.006]  0:29:42.261656
4995 [D loss: -0.013 R -0.038 F 0.012] [G loss: -0.008]  0:29:42.718404
4996 [D loss: -0.015 R -0.035 F 0.005] [G loss: -0.003]  0:29:43.164522
4997 [D loss: -0.007 R -0.029 F 0.015] [G loss: -0.008]  0:29:43.590989
4998 [D loss: -0.008 R -0.028 F 0.012] [G loss: -0.005]  0:29:44.037149
4999 [D loss: -0.011 R -0.032 F 0.010] [G loss: 0.004]  0:29:44.476090
5000 [D loss: -0.008 R -0.028 F 0.012] [G loss: 0.002]  0:29:44.908221
5001 [D loss: -0.016 R -0.033 F -0.000] [G loss: -0.000]  0:29:45.374771
5002 [D loss: -0.012 R -0.023 F -0.002] [G loss: 0.007]  0:29:45.873296
5003 [D loss: -0.014 R -0.030 F 0.002] [G loss: -0.011]  0:29:46.328692
5004 [D loss: -0.014 R -0.035 F 0.006] [G loss: -0.014]  0:29:46.771246
5005 [D loss: -0.019 R -0.035 F -0.003] [G loss: -0.012]  0:29:47.204079
5006 [D loss: -0.016 R -0.035 F 0.004] [G loss: 0.008]  0:29:47.625899
5007 [D loss: -0.005 R -0.028 F 0.017] [G loss: -0.003]  0:29:48.061854
5008 [D loss: -0.012 R -0.027 F 0.002] [G loss: -0.001]  0:29:48.511855
5009 [D loss: -0.012 R -0.024 F 0.001] [G loss: 0.004]  0:29:48.941717
5010 [D loss: -0.009 R -0.023 F 0.006] [G loss: 0.001]  0:29:49.378645
5011 [D loss: -0.016 R -0.036 F 0.003] [G loss: -0.003]  0:29:49.812866
5012 [D loss: -0.020 R -0.046 F 0.006] [G loss: 0.001]  0:29:50.258419
5013 [D loss: -0.014 R -0.035 F 0.008] [G loss: -0.004]  0:29:50.702490
5014 [D loss: -0.014 R -0.037 F 0.010] [G loss: -0.004]  0:29:51.155426
5015 [D loss: -0.018 R -0.033 F -0.002] [G loss: 0.006]  0:29:51.588462
5016 [D loss: -0.015 R -0.015 F -0.016] [G loss: 0.014]  0:29:52.022877
5017 [D loss: -0.016 R -0.030 F -0.002] [G loss: -0.001]  0:29:52.475459
5018 [D loss: -0.013 R -0.036 F 0.010] [G loss: -0.010]  0:29:52.911237
5019 [D loss: -0.009 R -0.039 F 0.021] [G loss: -0.011]  0:29:53.375495
5020 [D loss: -0.021 R -0.054 F 0.012] [G loss: -0.007]  0:29:53.790752
5021 [D loss: -0.024 R -0.054 F 0.007] [G loss: -0.023]  0:29:54.243819
5022 [D loss: -0.009 R -0.042 F 0.025] [G loss: -0.019]  0:29:54.676616
5023 [D loss: -0.010 R -0.034 F 0.015] [G loss: -0.017]  0:29:55.105610
5024 [D loss: -0.017 R -0.044 F 0.010] [G loss: 0.002]  0:29:55.566743
5025 [D loss: -0.007 R -0.029 F 0.016] [G loss: 0.012]  0:29:56.033418
5026 [D loss: -0.019 R -0.044 F 0.006] [G loss: 0.013]  0:29:56.452365
5027 [D loss: -0.020 R -0.035 F -0.005] [G loss: 0.004]  0:29:56.899188
5028 [D loss: -0.012 R -0.037 F 0.013] [G loss: 0.003]  0:29:57.344617
5029 [D loss: -0.016 R -0.043 F 0.010] [G loss: -0.003]  0:29:57.761986
5030 [D loss: -0.011 R -0.043 F 0.020] [G loss: -0.004]  0:29:58.219626
5031 [D loss: -0.007 R -0.041 F 0.027] [G loss: -0.011]  0:29:58.710050
5032 [D loss: -0.009 R -0.037 F 0.018] [G loss: -0.016]  0:29:59.144540
5033 [D loss: -0.014 R -0.049 F 0.022] [G loss: -0.021]  0:29:59.576079
5034 [D loss: 0.000 R -0.033 F 0.033] [G loss: -0.021]  0:30:00.056989
5035 [D loss: -0.012 R -0.052 F 0.027] [G loss: -0.017]  0:30:00.518285
5036 [D loss: 0.000 R -0.040 F 0.040] [G loss: -0.017]  0:30:00.946044
5037 [D loss: -0.007 R -0.045 F 0.031] [G loss: -0.010]  0:30:01.387509
5038 [D loss: -0.015 R -0.039 F 0.010] [G loss: -0.014]  0:30:01.846876
5039 [D loss: -0.016 R -0.038 F 0.006] [G loss: 0.001]  0:30:02.302138
5040 [D loss: -0.013 R -0.030 F 0.003] [G loss: 0.005]  0:30:02.746167
5041 [D loss: -0.017 R -0.041 F 0.007] [G loss: 0.002]  0:30:03.184375
5042 [D loss: -0.008 R -0.031 F 0.014] [G loss: 0.006]  0:30:03.892615
5043 [D loss: -0.003 R -0.028 F 0.021] [G loss: -0.006]  0:30:04.361560
5044 [D loss: -0.006 R -0.036 F 0.023] [G loss: -0.012]  0:30:04.834029
5045 [D loss: -0.007 R -0.034 F 0.020] [G loss: -0.009]  0:30:05.262153
5046 [D loss: -0.004 R -0.031 F 0.022] [G loss: -0.010]  0:30:05.716697
5047 [D loss: -0.011 R -0.035 F 0.014] [G loss: -0.005]  0:30:06.179302
5048 [D loss: -0.009 R -0.032 F 0.013] [G loss: -0.006]  0:30:06.627461
5049 [D loss: -0.010 R -0.031 F 0.012] [G loss: -0.001]  0:30:07.061523
5050 [D loss: -0.016 R -0.038 F 0.007] [G loss: -0.001]  0:30:07.539318
5051 [D loss: -0.011 R -0.039 F 0.017] [G loss: -0.007]  0:30:07.979089
5052 [D loss: -0.011 R -0.033 F 0.011] [G loss: -0.010]  0:30:08.430571
5053 [D loss: 0.002 R -0.022 F 0.026] [G loss: -0.011]  0:30:08.878055
5054 [D loss: -0.005 R -0.031 F 0.021] [G loss: -0.010]  0:30:09.310214
5055 [D loss: -0.008 R -0.030 F 0.014] [G loss: -0.003]  0:30:09.754837
5056 [D loss: -0.011 R -0.032 F 0.009] [G loss: 0.004]  0:30:10.216064
5057 [D loss: -0.008 R -0.027 F 0.012] [G loss: 0.006]  0:30:10.665234
5058 [D loss: -0.014 R -0.034 F 0.006] [G loss: -0.003]  0:30:11.112885
5059 [D loss: -0.010 R -0.032 F 0.012] [G loss: 0.002]  0:30:11.586362
5060 [D loss: -0.009 R -0.029 F 0.012] [G loss: -0.004]  0:30:12.038605
5061 [D loss: -0.014 R -0.033 F 0.005] [G loss: 0.002]  0:30:12.492725
5062 [D loss: -0.014 R -0.034 F 0.006] [G loss: 0.010]  0:30:12.952659
5063 [D loss: -0.011 R -0.024 F 0.001] [G loss: 0.002]  0:30:13.403335
5064 [D loss: -0.012 R -0.027 F 0.004] [G loss: -0.007]  0:30:13.860761
5065 [D loss: -0.001 R -0.024 F 0.023] [G loss: -0.007]  0:30:14.309083
5066 [D loss: -0.008 R -0.026 F 0.010] [G loss: 0.002]  0:30:14.770311
5067 [D loss: -0.007 R -0.017 F 0.002] [G loss: 0.008]  0:30:15.205036
5068 [D loss: -0.013 R -0.020 F -0.007] [G loss: 0.007]  0:30:15.646010
5069 [D loss: -0.011 R -0.023 F -0.000] [G loss: 0.006]  0:30:16.073935
5070 [D loss: -0.011 R -0.029 F 0.006] [G loss: 0.004]  0:30:16.530780
5071 [D loss: -0.010 R -0.030 F 0.010] [G loss: 0.009]  0:30:16.968333
5072 [D loss: -0.008 R -0.026 F 0.009] [G loss: 0.004]  0:30:17.422177
5073 [D loss: -0.010 R -0.030 F 0.011] [G loss: -0.000]  0:30:17.853973
5074 [D loss: -0.003 R -0.031 F 0.026] [G loss: -0.012]  0:30:18.304189
5075 [D loss: -0.009 R -0.034 F 0.016] [G loss: -0.009]  0:30:18.755886
5076 [D loss: -0.017 R -0.044 F 0.009] [G loss: -0.011]  0:30:19.193342
5077 [D loss: -0.010 R -0.050 F 0.030] [G loss: -0.023]  0:30:19.645485
5078 [D loss: -0.013 R -0.049 F 0.022] [G loss: -0.028]  0:30:20.077091
5079 [D loss: -0.017 R -0.052 F 0.019] [G loss: -0.026]  0:30:20.520728
5080 [D loss: -0.007 R -0.046 F 0.032] [G loss: -0.020]  0:30:20.961908
5081 [D loss: -0.010 R -0.025 F 0.006] [G loss: -0.009]  0:30:21.416985
5082 [D loss: -0.011 R -0.032 F 0.011] [G loss: 0.008]  0:30:21.856916
5083 [D loss: -0.011 R -0.044 F 0.022] [G loss: -0.008]  0:30:22.288524
5084 [D loss: -0.013 R -0.047 F 0.022] [G loss: -0.012]  0:30:22.753021
5085 [D loss: -0.016 R -0.045 F 0.013] [G loss: -0.006]  0:30:23.193450
5086 [D loss: -0.018 R -0.044 F 0.009] [G loss: -0.005]  0:30:23.664630
5087 [D loss: -0.008 R -0.043 F 0.026] [G loss: -0.001]  0:30:24.104723
5088 [D loss: -0.013 R -0.045 F 0.018] [G loss: -0.009]  0:30:24.523987
5089 [D loss: -0.008 R -0.038 F 0.021] [G loss: -0.006]  0:30:24.961268
5090 [D loss: -0.006 R -0.031 F 0.018] [G loss: -0.007]  0:30:25.393354
5091 [D loss: -0.010 R -0.038 F 0.019] [G loss: -0.009]  0:30:25.864738
5092 [D loss: -0.012 R -0.026 F 0.001] [G loss: 0.008]  0:30:26.326420
5093 [D loss: -0.008 R -0.027 F 0.010] [G loss: -0.005]  0:30:26.761179
5094 [D loss: -0.010 R -0.038 F 0.018] [G loss: -0.006]  0:30:27.210660
5095 [D loss: -0.005 R -0.031 F 0.020] [G loss: -0.011]  0:30:27.666347
5096 [D loss: -0.014 R -0.044 F 0.015] [G loss: -0.010]  0:30:28.098856
5097 [D loss: -0.011 R -0.047 F 0.026] [G loss: -0.003]  0:30:28.554974
5098 [D loss: -0.014 R -0.035 F 0.008] [G loss: -0.000]  0:30:28.988325
5099 [D loss: -0.015 R -0.041 F 0.011] [G loss: -0.004]  0:30:29.461459
5100 [D loss: -0.014 R -0.037 F 0.010] [G loss: -0.007]  0:30:29.872737
5101 [D loss: -0.017 R -0.036 F 0.003] [G loss: -0.011]  0:30:30.314476
5102 [D loss: -0.006 R -0.032 F 0.020] [G loss: 0.001]  0:30:30.761865
5103 [D loss: -0.004 R -0.030 F 0.021] [G loss: -0.018]  0:30:31.204056
5104 [D loss: -0.011 R -0.031 F 0.009] [G loss: -0.002]  0:30:31.650975
5105 [D loss: -0.007 R -0.032 F 0.017] [G loss: -0.003]  0:30:32.088386
5106 [D loss: -0.016 R -0.036 F 0.004] [G loss: -0.001]  0:30:32.541039
5107 [D loss: -0.014 R -0.040 F 0.012] [G loss: 0.009]  0:30:32.984362
5108 [D loss: -0.013 R -0.032 F 0.005] [G loss: -0.001]  0:30:33.403133
5109 [D loss: -0.012 R -0.039 F 0.015] [G loss: -0.004]  0:30:33.847005
5110 [D loss: -0.015 R -0.042 F 0.013] [G loss: -0.019]  0:30:34.303792
5111 [D loss: -0.013 R -0.051 F 0.026] [G loss: -0.019]  0:30:34.738599
5112 [D loss: -0.012 R -0.046 F 0.022] [G loss: -0.013]  0:30:35.194611
5113 [D loss: -0.013 R -0.041 F 0.015] [G loss: -0.016]  0:30:35.658324
5114 [D loss: -0.015 R -0.046 F 0.015] [G loss: -0.011]  0:30:36.095531
5115 [D loss: -0.017 R -0.049 F 0.016] [G loss: 0.001]  0:30:36.542168
5116 [D loss: -0.008 R -0.030 F 0.015] [G loss: -0.001]  0:30:36.992498
5117 [D loss: -0.009 R -0.042 F 0.023] [G loss: -0.011]  0:30:37.437478
5118 [D loss: -0.008 R -0.036 F 0.021] [G loss: -0.015]  0:30:37.900944
5119 [D loss: -0.007 R -0.036 F 0.022] [G loss: -0.018]  0:30:38.337415
5120 [D loss: -0.005 R -0.039 F 0.028] [G loss: -0.007]  0:30:38.801039
5121 [D loss: -0.012 R -0.039 F 0.016] [G loss: -0.002]  0:30:39.237409
5122 [D loss: -0.014 R -0.041 F 0.014] [G loss: -0.003]  0:30:39.684051
5123 [D loss: -0.021 R -0.043 F 0.002] [G loss: 0.002]  0:30:40.111221
5124 [D loss: -0.013 R -0.033 F 0.008] [G loss: -0.006]  0:30:40.601054
5125 [D loss: -0.001 R -0.028 F 0.025] [G loss: -0.009]  0:30:41.033239
5126 [D loss: -0.002 R -0.030 F 0.025] [G loss: -0.010]  0:30:41.464447
5127 [D loss: -0.012 R -0.032 F 0.007] [G loss: -0.007]  0:30:41.940598
5128 [D loss: -0.009 R -0.033 F 0.016] [G loss: 0.003]  0:30:42.390216
5129 [D loss: -0.008 R -0.029 F 0.013] [G loss: 0.000]  0:30:42.861200
5130 [D loss: -0.014 R -0.031 F 0.004] [G loss: 0.013]  0:30:43.300348
5131 [D loss: -0.015 R -0.023 F -0.007] [G loss: 0.008]  0:30:43.755325
5132 [D loss: -0.007 R -0.024 F 0.010] [G loss: -0.001]  0:30:44.203232
5133 [D loss: -0.016 R -0.024 F -0.008] [G loss: 0.010]  0:30:44.675351
5134 [D loss: -0.012 R -0.014 F -0.011] [G loss: 0.013]  0:30:45.103177
5135 [D loss: -0.012 R -0.017 F -0.008] [G loss: 0.010]  0:30:45.548365
5136 [D loss: -0.014 R -0.030 F 0.002] [G loss: 0.011]  0:30:46.006595
5137 [D loss: -0.010 R -0.018 F -0.001] [G loss: 0.011]  0:30:46.452612
5138 [D loss: -0.011 R -0.021 F -0.001] [G loss: 0.003]  0:30:46.903206
5139 [D loss: -0.011 R -0.019 F -0.002] [G loss: 0.008]  0:30:47.329494
5140 [D loss: -0.015 R -0.025 F -0.005] [G loss: 0.003]  0:30:47.791059
5141 [D loss: -0.005 R -0.039 F 0.029] [G loss: -0.017]  0:30:48.226467
5142 [D loss: -0.007 R -0.034 F 0.020] [G loss: -0.020]  0:30:48.704365
5143 [D loss: -0.006 R -0.045 F 0.033] [G loss: -0.010]  0:30:49.143769
5144 [D loss: -0.012 R -0.040 F 0.016] [G loss: -0.004]  0:30:49.571987
5145 [D loss: -0.007 R -0.033 F 0.019] [G loss: -0.005]  0:30:50.022911
5146 [D loss: -0.012 R -0.040 F 0.016] [G loss: 0.003]  0:30:50.448247
5147 [D loss: -0.013 R -0.043 F 0.018] [G loss: -0.010]  0:30:50.883522
5148 [D loss: -0.009 R -0.034 F 0.016] [G loss: -0.019]  0:30:51.321003
5149 [D loss: -0.014 R -0.049 F 0.022] [G loss: -0.021]  0:30:51.762443
5150 [D loss: -0.009 R -0.036 F 0.018] [G loss: -0.017]  0:30:52.198970
5151 [D loss: -0.014 R -0.046 F 0.019] [G loss: -0.008]  0:30:52.631040
5152 [D loss: -0.011 R -0.039 F 0.016] [G loss: -0.005]  0:30:53.066444
5153 [D loss: -0.009 R -0.042 F 0.023] [G loss: 0.000]  0:30:53.498476
5154 [D loss: -0.010 R -0.039 F 0.019] [G loss: -0.003]  0:30:53.940165
5155 [D loss: -0.011 R -0.038 F 0.016] [G loss: -0.011]  0:30:54.410580
5156 [D loss: -0.014 R -0.052 F 0.025] [G loss: -0.021]  0:30:54.873391
5157 [D loss: -0.008 R -0.040 F 0.025] [G loss: -0.012]  0:30:55.301892
5158 [D loss: -0.007 R -0.037 F 0.023] [G loss: -0.015]  0:30:55.748946
5159 [D loss: -0.013 R -0.046 F 0.019] [G loss: -0.008]  0:30:56.199603
5160 [D loss: -0.007 R -0.042 F 0.028] [G loss: -0.012]  0:30:56.628055
5161 [D loss: -0.011 R -0.042 F 0.020] [G loss: -0.007]  0:30:57.096691
5162 [D loss: -0.004 R -0.031 F 0.024] [G loss: -0.007]  0:30:57.533215
5163 [D loss: -0.006 R -0.034 F 0.021] [G loss: -0.009]  0:30:57.978697
5164 [D loss: -0.012 R -0.038 F 0.014] [G loss: 0.001]  0:30:58.437465
5165 [D loss: -0.009 R -0.034 F 0.016] [G loss: -0.004]  0:30:58.874092
5166 [D loss: -0.008 R -0.030 F 0.015] [G loss: -0.003]  0:30:59.335615
5167 [D loss: -0.008 R -0.027 F 0.011] [G loss: -0.001]  0:30:59.765945
5168 [D loss: -0.012 R -0.033 F 0.009] [G loss: -0.004]  0:31:00.211257
5169 [D loss: -0.010 R -0.038 F 0.019] [G loss: -0.006]  0:31:00.639631
5170 [D loss: -0.007 R -0.029 F 0.016] [G loss: 0.004]  0:31:01.083002
5171 [D loss: -0.007 R -0.024 F 0.011] [G loss: -0.003]  0:31:01.513664
5172 [D loss: -0.012 R -0.031 F 0.007] [G loss: 0.003]  0:31:01.947358
5173 [D loss: -0.013 R -0.023 F -0.002] [G loss: 0.011]  0:31:02.377229
5174 [D loss: -0.008 R -0.021 F 0.005] [G loss: 0.009]  0:31:02.809333
5175 [D loss: -0.010 R -0.021 F 0.002] [G loss: 0.006]  0:31:03.268597
5176 [D loss: -0.018 R -0.033 F -0.002] [G loss: 0.003]  0:31:03.718241
5177 [D loss: -0.018 R -0.050 F 0.014] [G loss: -0.003]  0:31:04.144578
5178 [D loss: -0.011 R -0.045 F 0.023] [G loss: -0.008]  0:31:04.589602
5179 [D loss: -0.003 R -0.030 F 0.025] [G loss: -0.020]  0:31:05.038863
5180 [D loss: -0.006 R -0.037 F 0.024] [G loss: -0.016]  0:31:05.487330
5181 [D loss: -0.011 R -0.050 F 0.028] [G loss: -0.022]  0:31:05.926274
5182 [D loss: -0.008 R -0.042 F 0.027] [G loss: -0.020]  0:31:06.366582
5183 [D loss: -0.008 R -0.041 F 0.026] [G loss: -0.012]  0:31:06.830278
5184 [D loss: -0.009 R -0.040 F 0.022] [G loss: -0.004]  0:31:07.291459
5185 [D loss: -0.014 R -0.039 F 0.010] [G loss: 0.003]  0:31:07.750345
5186 [D loss: -0.024 R -0.047 F -0.001] [G loss: 0.001]  0:31:08.163648
5187 [D loss: -0.008 R -0.034 F 0.018] [G loss: -0.003]  0:31:08.599423
5188 [D loss: -0.013 R -0.029 F 0.003] [G loss: 0.001]  0:31:09.036392
5189 [D loss: -0.007 R -0.016 F 0.003] [G loss: 0.001]  0:31:09.478949
5190 [D loss: -0.010 R -0.023 F 0.003] [G loss: -0.006]  0:31:09.912166
5191 [D loss: -0.007 R -0.025 F 0.011] [G loss: -0.001]  0:31:10.372627
5192 [D loss: -0.011 R -0.034 F 0.013] [G loss: -0.015]  0:31:10.841969
5193 [D loss: -0.001 R -0.032 F 0.030] [G loss: -0.011]  0:31:11.288636
5194 [D loss: -0.013 R -0.024 F -0.001] [G loss: -0.005]  0:31:11.730814
5195 [D loss: -0.015 R -0.025 F -0.005] [G loss: 0.002]  0:31:12.179512
5196 [D loss: -0.016 R -0.018 F -0.014] [G loss: 0.011]  0:31:12.615931
5197 [D loss: -0.015 R -0.024 F -0.007] [G loss: 0.001]  0:31:13.055728
5198 [D loss: -0.019 R -0.042 F 0.004] [G loss: -0.009]  0:31:13.490812
5199 [D loss: -0.006 R -0.019 F 0.007] [G loss: -0.004]  0:31:13.925482
5200 [D loss: -0.025 R -0.053 F 0.003] [G loss: -0.002]  0:31:14.376650
5201 [D loss: -0.025 R -0.051 F 0.001] [G loss: -0.018]  0:31:14.802866
5202 [D loss: -0.006 R -0.034 F 0.022] [G loss: -0.012]  0:31:15.248094
5203 [D loss: -0.007 R -0.048 F 0.034] [G loss: -0.017]  0:31:15.683374
5204 [D loss: -0.006 R -0.036 F 0.024] [G loss: -0.019]  0:31:16.115259
5205 [D loss: -0.016 R -0.050 F 0.017] [G loss: -0.013]  0:31:16.553626
5206 [D loss: -0.007 R -0.038 F 0.024] [G loss: -0.008]  0:31:16.997218
5207 [D loss: -0.012 R -0.055 F 0.031] [G loss: -0.020]  0:31:17.423423
5208 [D loss: -0.011 R -0.052 F 0.030] [G loss: -0.025]  0:31:17.893208
5209 [D loss: -0.006 R -0.049 F 0.037] [G loss: -0.011]  0:31:18.331914
5210 [D loss: -0.010 R -0.043 F 0.022] [G loss: -0.011]  0:31:18.773309
5211 [D loss: -0.007 R -0.043 F 0.029] [G loss: -0.011]  0:31:19.229804
5212 [D loss: -0.010 R -0.036 F 0.017] [G loss: -0.002]  0:31:19.671373
5213 [D loss: -0.011 R -0.046 F 0.024] [G loss: -0.009]  0:31:20.134380
5214 [D loss: -0.016 R -0.035 F 0.003] [G loss: 0.000]  0:31:20.568146
5215 [D loss: -0.008 R -0.029 F 0.013] [G loss: -0.004]  0:31:21.275530
5216 [D loss: -0.004 R -0.023 F 0.014] [G loss: -0.006]  0:31:21.714154
5217 [D loss: -0.013 R -0.040 F 0.013] [G loss: -0.015]  0:31:22.148503
5218 [D loss: -0.007 R -0.041 F 0.027] [G loss: -0.015]  0:31:22.593948
5219 [D loss: -0.005 R -0.032 F 0.021] [G loss: -0.012]  0:31:23.024739
5220 [D loss: -0.011 R -0.031 F 0.010] [G loss: -0.003]  0:31:23.500127
5221 [D loss: -0.019 R -0.042 F 0.004] [G loss: -0.007]  0:31:23.929093
5222 [D loss: -0.016 R -0.046 F 0.015] [G loss: -0.006]  0:31:24.387340
5223 [D loss: -0.005 R -0.040 F 0.030] [G loss: -0.015]  0:31:24.819601
5224 [D loss: -0.003 R -0.028 F 0.021] [G loss: -0.003]  0:31:25.255303
5225 [D loss: -0.014 R -0.036 F 0.008] [G loss: 0.017]  0:31:25.693615
5226 [D loss: -0.022 R -0.040 F -0.005] [G loss: 0.010]  0:31:26.108781
5227 [D loss: -0.016 R -0.021 F -0.011] [G loss: 0.016]  0:31:26.540363
5228 [D loss: -0.007 R -0.000 F -0.013] [G loss: 0.010]  0:31:26.964503
5229 [D loss: -0.010 R -0.019 F -0.001] [G loss: 0.013]  0:31:27.406719
5230 [D loss: -0.015 R -0.032 F 0.001] [G loss: 0.001]  0:31:27.844512
5231 [D loss: -0.013 R -0.038 F 0.012] [G loss: 0.006]  0:31:28.289919
5232 [D loss: -0.008 R -0.022 F 0.006] [G loss: 0.003]  0:31:28.753508
5233 [D loss: -0.007 R -0.029 F 0.014] [G loss: -0.005]  0:31:29.185145
5234 [D loss: -0.017 R -0.041 F 0.008] [G loss: -0.009]  0:31:29.640141
5235 [D loss: -0.012 R -0.039 F 0.014] [G loss: 0.000]  0:31:30.069899
5236 [D loss: -0.007 R -0.030 F 0.017] [G loss: -0.003]  0:31:30.529257
5237 [D loss: -0.014 R -0.042 F 0.013] [G loss: -0.007]  0:31:30.964506
5238 [D loss: -0.008 R -0.033 F 0.016] [G loss: -0.012]  0:31:31.414511
5239 [D loss: -0.012 R -0.031 F 0.007] [G loss: -0.005]  0:31:31.879656
5240 [D loss: -0.021 R -0.038 F -0.004] [G loss: -0.006]  0:31:32.347631
5241 [D loss: -0.014 R -0.039 F 0.010] [G loss: -0.014]  0:31:32.795940
5242 [D loss: -0.009 R -0.031 F 0.014] [G loss: -0.004]  0:31:33.241589
5243 [D loss: -0.014 R -0.044 F 0.016] [G loss: -0.012]  0:31:33.693226
5244 [D loss: -0.011 R -0.032 F 0.010] [G loss: -0.008]  0:31:34.124968
5245 [D loss: -0.016 R -0.035 F 0.004] [G loss: -0.013]  0:31:34.582422
5246 [D loss: -0.029 R -0.036 F -0.022] [G loss: -0.002]  0:31:35.044117
5247 [D loss: -0.018 R -0.035 F -0.001] [G loss: -0.006]  0:31:35.535764
5248 [D loss: -0.015 R -0.033 F 0.002] [G loss: -0.012]  0:31:35.988655
5249 [D loss: -0.004 R -0.033 F 0.025] [G loss: -0.023]  0:31:36.421145
5250 [D loss: 0.001 R -0.056 F 0.058] [G loss: -0.033]  0:31:36.872148
5251 [D loss: -0.011 R -0.066 F 0.043] [G loss: -0.038]  0:31:37.297442
5252 [D loss: -0.001 R -0.033 F 0.031] [G loss: -0.030]  0:31:37.759744
5253 [D loss: -0.026 R -0.061 F 0.010] [G loss: -0.027]  0:31:38.199533
5254 [D loss: -0.014 R -0.040 F 0.011] [G loss: -0.014]  0:31:38.637486
5255 [D loss: -0.010 R -0.033 F 0.013] [G loss: 0.005]  0:31:39.093101
5256 [D loss: -0.016 R -0.043 F 0.011] [G loss: 0.013]  0:31:39.546497
5257 [D loss: -0.006 R -0.025 F 0.014] [G loss: -0.002]  0:31:39.989999
5258 [D loss: -0.008 R -0.036 F 0.021] [G loss: -0.012]  0:31:40.414660
5259 [D loss: -0.011 R -0.043 F 0.021] [G loss: -0.012]  0:31:40.840239
5260 [D loss: -0.010 R -0.039 F 0.018] [G loss: -0.019]  0:31:41.261229
5261 [D loss: -0.009 R -0.038 F 0.020] [G loss: -0.020]  0:31:41.722149
5262 [D loss: -0.015 R -0.043 F 0.014] [G loss: -0.023]  0:31:42.153632
5263 [D loss: -0.016 R -0.045 F 0.013] [G loss: -0.011]  0:31:42.630043
5264 [D loss: -0.004 R -0.038 F 0.031] [G loss: -0.014]  0:31:43.064131
5265 [D loss: -0.005 R -0.044 F 0.034] [G loss: -0.015]  0:31:43.522754
5266 [D loss: -0.002 R -0.027 F 0.022] [G loss: -0.014]  0:31:43.995583
5267 [D loss: -0.010 R -0.027 F 0.007] [G loss: -0.005]  0:31:44.455869
5268 [D loss: -0.011 R -0.025 F 0.002] [G loss: 0.000]  0:31:44.891316
5269 [D loss: -0.006 R -0.022 F 0.011] [G loss: -0.001]  0:31:45.328918
5270 [D loss: -0.007 R -0.020 F 0.005] [G loss: 0.001]  0:31:45.794367
5271 [D loss: -0.007 R -0.025 F 0.010] [G loss: -0.002]  0:31:46.240316
5272 [D loss: -0.011 R -0.034 F 0.012] [G loss: 0.003]  0:31:46.689992
5273 [D loss: -0.008 R -0.029 F 0.013] [G loss: 0.000]  0:31:47.146395
5274 [D loss: -0.008 R -0.031 F 0.016] [G loss: -0.019]  0:31:47.619935
5275 [D loss: -0.008 R -0.034 F 0.018] [G loss: -0.003]  0:31:48.078783
5276 [D loss: -0.010 R -0.027 F 0.008] [G loss: -0.014]  0:31:48.534767
5277 [D loss: -0.008 R -0.036 F 0.019] [G loss: -0.018]  0:31:48.971263
5278 [D loss: -0.005 R -0.035 F 0.024] [G loss: -0.015]  0:31:49.398262
5279 [D loss: -0.009 R -0.034 F 0.016] [G loss: 0.001]  0:31:49.878568
5280 [D loss: -0.016 R -0.039 F 0.007] [G loss: 0.001]  0:31:50.319086
5281 [D loss: -0.017 R -0.027 F -0.008] [G loss: -0.001]  0:31:50.752083
5282 [D loss: -0.013 R -0.037 F 0.011] [G loss: -0.007]  0:31:51.205064
5283 [D loss: -0.013 R -0.036 F 0.010] [G loss: -0.009]  0:31:51.662021
5284 [D loss: -0.011 R -0.036 F 0.013] [G loss: -0.008]  0:31:52.121775
5285 [D loss: -0.007 R -0.036 F 0.022] [G loss: -0.004]  0:31:52.596231
5286 [D loss: -0.015 R -0.030 F 0.001] [G loss: -0.002]  0:31:53.045620
5287 [D loss: -0.016 R -0.044 F 0.011] [G loss: 0.010]  0:31:53.483653
5288 [D loss: -0.018 R -0.026 F -0.010] [G loss: 0.004]  0:31:53.944630
5289 [D loss: -0.006 R -0.025 F 0.014] [G loss: -0.006]  0:31:54.378489
5290 [D loss: -0.006 R -0.017 F 0.005] [G loss: -0.006]  0:31:54.816572
5291 [D loss: -0.008 R -0.024 F 0.007] [G loss: -0.005]  0:31:55.266598
5292 [D loss: -0.005 R -0.015 F 0.005] [G loss: -0.000]  0:31:55.708496
5293 [D loss: -0.013 R -0.018 F -0.009] [G loss: 0.007]  0:31:56.157203
5294 [D loss: -0.020 R -0.032 F -0.008] [G loss: 0.008]  0:31:56.610634
5295 [D loss: -0.024 R -0.030 F -0.018] [G loss: 0.015]  0:31:57.049050
5296 [D loss: -0.004 R -0.017 F 0.009] [G loss: 0.003]  0:31:57.501691
5297 [D loss: -0.011 R -0.037 F 0.016] [G loss: 0.001]  0:31:57.961886
5298 [D loss: -0.004 R -0.036 F 0.029] [G loss: -0.007]  0:31:58.421171
5299 [D loss: -0.003 R -0.034 F 0.029] [G loss: -0.016]  0:31:58.864095
5300 [D loss: -0.006 R -0.029 F 0.017] [G loss: -0.013]  0:31:59.311239
5301 [D loss: -0.015 R -0.036 F 0.007] [G loss: -0.002]  0:31:59.755339
5302 [D loss: -0.008 R -0.027 F 0.012] [G loss: 0.007]  0:32:00.217774
5303 [D loss: -0.022 R -0.039 F -0.004] [G loss: 0.006]  0:32:00.655797
5304 [D loss: -0.017 R -0.032 F -0.002] [G loss: 0.008]  0:32:01.105102
5305 [D loss: -0.005 R -0.016 F 0.005] [G loss: 0.007]  0:32:01.529450
5306 [D loss: -0.010 R -0.027 F 0.008] [G loss: 0.003]  0:32:01.988460
5307 [D loss: -0.005 R -0.023 F 0.012] [G loss: -0.003]  0:32:02.427130
5308 [D loss: -0.019 R -0.030 F -0.007] [G loss: -0.006]  0:32:02.874600
5309 [D loss: -0.030 R -0.035 F -0.024] [G loss: 0.004]  0:32:03.325301
5310 [D loss: -0.020 R -0.038 F -0.003] [G loss: 0.009]  0:32:03.773653
5311 [D loss: -0.014 R -0.021 F -0.007] [G loss: 0.008]  0:32:04.214345
5312 [D loss: -0.013 R -0.042 F 0.017] [G loss: 0.001]  0:32:04.666000
5313 [D loss: -0.008 R -0.036 F 0.020] [G loss: -0.008]  0:32:05.120041
5314 [D loss: -0.001 R -0.033 F 0.031] [G loss: -0.027]  0:32:05.567784
5315 [D loss: 0.002 R -0.037 F 0.041] [G loss: -0.027]  0:32:06.033518
5316 [D loss: -0.006 R -0.044 F 0.032] [G loss: -0.025]  0:32:06.491586
5317 [D loss: -0.019 R -0.050 F 0.011] [G loss: -0.005]  0:32:06.940486
5318 [D loss: -0.015 R -0.043 F 0.013] [G loss: -0.003]  0:32:07.375117
5319 [D loss: -0.021 R -0.045 F 0.002] [G loss: 0.002]  0:32:07.817626
5320 [D loss: -0.017 R -0.046 F 0.012] [G loss: -0.008]  0:32:08.272804
5321 [D loss: -0.007 R -0.043 F 0.028] [G loss: -0.021]  0:32:08.722101
5322 [D loss: -0.005 R -0.042 F 0.033] [G loss: -0.026]  0:32:09.150751
5323 [D loss: -0.007 R -0.047 F 0.032] [G loss: -0.030]  0:32:09.614359
5324 [D loss: -0.009 R -0.047 F 0.030] [G loss: -0.019]  0:32:10.049393
5325 [D loss: -0.011 R -0.042 F 0.020] [G loss: -0.005]  0:32:10.534474
5326 [D loss: -0.013 R -0.045 F 0.018] [G loss: -0.002]  0:32:10.977494
5327 [D loss: -0.023 R -0.057 F 0.012] [G loss: -0.007]  0:32:11.406872
5328 [D loss: -0.015 R -0.039 F 0.009] [G loss: -0.011]  0:32:11.850204
5329 [D loss: -0.015 R -0.049 F 0.020] [G loss: -0.025]  0:32:12.283522
5330 [D loss: 0.000 R -0.036 F 0.036] [G loss: -0.032]  0:32:12.729761
5331 [D loss: -0.010 R -0.036 F 0.016] [G loss: -0.022]  0:32:13.176307
5332 [D loss: -0.009 R -0.038 F 0.021] [G loss: -0.013]  0:32:13.621565
5333 [D loss: -0.013 R -0.031 F 0.004] [G loss: 0.009]  0:32:14.101896
5334 [D loss: -0.014 R -0.023 F -0.005] [G loss: 0.012]  0:32:14.547640
5335 [D loss: -0.010 R -0.024 F 0.003] [G loss: 0.015]  0:32:14.981308
5336 [D loss: -0.019 R -0.051 F 0.012] [G loss: -0.004]  0:32:15.406238
5337 [D loss: -0.014 R -0.038 F 0.010] [G loss: -0.013]  0:32:15.869807
5338 [D loss: -0.009 R -0.043 F 0.024] [G loss: -0.022]  0:32:16.312985
5339 [D loss: -0.011 R -0.039 F 0.017] [G loss: -0.027]  0:32:16.777731
5340 [D loss: -0.004 R -0.040 F 0.032] [G loss: -0.026]  0:32:17.211771
5341 [D loss: -0.003 R -0.035 F 0.029] [G loss: -0.020]  0:32:17.669880
5342 [D loss: -0.011 R -0.044 F 0.021] [G loss: -0.005]  0:32:18.104223
5343 [D loss: -0.013 R -0.043 F 0.017] [G loss: 0.004]  0:32:18.553121
5344 [D loss: -0.015 R -0.035 F 0.006] [G loss: -0.000]  0:32:19.011488
5345 [D loss: -0.021 R -0.050 F 0.009] [G loss: -0.003]  0:32:19.480272
5346 [D loss: -0.003 R -0.038 F 0.032] [G loss: -0.022]  0:32:19.966627
5347 [D loss: -0.009 R -0.045 F 0.028] [G loss: -0.017]  0:32:20.441291
5348 [D loss: -0.024 R -0.057 F 0.008] [G loss: -0.025]  0:32:20.900631
5349 [D loss: -0.013 R -0.043 F 0.018] [G loss: -0.017]  0:32:21.346452
5350 [D loss: -0.012 R -0.040 F 0.015] [G loss: -0.014]  0:32:21.778307
5351 [D loss: 0.001 R -0.032 F 0.034] [G loss: -0.019]  0:32:22.275911
5352 [D loss: -0.010 R -0.047 F 0.027] [G loss: -0.011]  0:32:22.731982
5353 [D loss: -0.012 R -0.059 F 0.036] [G loss: -0.022]  0:32:23.187478
5354 [D loss: -0.005 R -0.033 F 0.023] [G loss: -0.031]  0:32:23.645581
5355 [D loss: -0.006 R -0.045 F 0.034] [G loss: -0.025]  0:32:24.094566
5356 [D loss: -0.007 R -0.041 F 0.026] [G loss: -0.020]  0:32:24.547348
5357 [D loss: -0.012 R -0.048 F 0.023] [G loss: -0.006]  0:32:25.001158
5358 [D loss: -0.020 R -0.044 F 0.005] [G loss: -0.009]  0:32:25.447539
5359 [D loss: -0.011 R -0.037 F 0.015] [G loss: -0.017]  0:32:25.891577
5360 [D loss: -0.010 R -0.046 F 0.027] [G loss: -0.007]  0:32:26.332492
5361 [D loss: -0.006 R -0.041 F 0.029] [G loss: -0.013]  0:32:26.790603
5362 [D loss: -0.020 R -0.034 F -0.006] [G loss: -0.001]  0:32:27.234236
5363 [D loss: -0.010 R -0.027 F 0.007] [G loss: 0.009]  0:32:27.671142
5364 [D loss: -0.025 R -0.052 F 0.003] [G loss: 0.005]  0:32:28.105652
5365 [D loss: -0.016 R -0.040 F 0.009] [G loss: -0.018]  0:32:28.545860
5366 [D loss: -0.007 R -0.037 F 0.022] [G loss: -0.005]  0:32:28.985851
5367 [D loss: -0.025 R -0.056 F 0.005] [G loss: -0.002]  0:32:29.432085
5368 [D loss: -0.011 R -0.025 F 0.004] [G loss: -0.018]  0:32:29.901515
5369 [D loss: -0.000 R -0.028 F 0.027] [G loss: -0.015]  0:32:30.366982
5370 [D loss: -0.018 R -0.049 F 0.014] [G loss: -0.015]  0:32:30.805036
5371 [D loss: -0.014 R -0.033 F 0.006] [G loss: -0.007]  0:32:31.284267
5372 [D loss: -0.002 R -0.030 F 0.025] [G loss: -0.006]  0:32:31.720783
5373 [D loss: -0.011 R -0.040 F 0.018] [G loss: 0.000]  0:32:32.181588
5374 [D loss: -0.012 R -0.018 F -0.006] [G loss: 0.007]  0:32:32.620774
5375 [D loss: -0.015 R -0.041 F 0.012] [G loss: 0.008]  0:32:33.061276
5376 [D loss: -0.018 R -0.040 F 0.005] [G loss: -0.004]  0:32:33.501417
5377 [D loss: -0.020 R -0.047 F 0.008] [G loss: -0.003]  0:32:33.947294
5378 [D loss: -0.010 R -0.041 F 0.021] [G loss: -0.007]  0:32:34.393023
5379 [D loss: -0.010 R -0.038 F 0.019] [G loss: -0.021]  0:32:34.814367
5380 [D loss: -0.013 R -0.036 F 0.010] [G loss: -0.017]  0:32:35.268520
5381 [D loss: -0.013 R -0.030 F 0.003] [G loss: -0.025]  0:32:35.716195
5382 [D loss: -0.009 R -0.032 F 0.014] [G loss: -0.021]  0:32:36.137559
5383 [D loss: -0.011 R -0.047 F 0.026] [G loss: -0.025]  0:32:36.572371
5384 [D loss: -0.007 R -0.032 F 0.018] [G loss: -0.016]  0:32:37.019634
5385 [D loss: -0.019 R -0.037 F -0.000] [G loss: -0.004]  0:32:37.452649
5386 [D loss: -0.016 R -0.032 F 0.001] [G loss: 0.005]  0:32:37.889757
5387 [D loss: -0.018 R -0.048 F 0.013] [G loss: -0.005]  0:32:38.328207
5388 [D loss: -0.014 R -0.034 F 0.006] [G loss: -0.006]  0:32:38.813184
5389 [D loss: -0.009 R -0.033 F 0.015] [G loss: -0.013]  0:32:39.266870
5390 [D loss: -0.004 R -0.042 F 0.033] [G loss: -0.023]  0:32:39.719010
5391 [D loss: -0.009 R -0.045 F 0.027] [G loss: -0.016]  0:32:40.154497
5392 [D loss: -0.008 R -0.033 F 0.017] [G loss: -0.019]  0:32:40.853444
5393 [D loss: -0.005 R -0.036 F 0.026] [G loss: -0.005]  0:32:41.308804
5394 [D loss: -0.009 R -0.035 F 0.016] [G loss: 0.005]  0:32:41.809116
5395 [D loss: -0.026 R -0.046 F -0.006] [G loss: 0.017]  0:32:42.270564
5396 [D loss: -0.020 R -0.030 F -0.009] [G loss: 0.006]  0:32:42.706038
5397 [D loss: -0.006 R -0.008 F -0.004] [G loss: -0.021]  0:32:43.128835
5398 [D loss: -0.007 R -0.028 F 0.015] [G loss: -0.023]  0:32:43.558099
5399 [D loss: -0.010 R -0.043 F 0.023] [G loss: -0.028]  0:32:44.004659
5400 [D loss: -0.017 R -0.054 F 0.019] [G loss: -0.010]  0:32:44.459505
5401 [D loss: -0.005 R -0.040 F 0.030] [G loss: -0.020]  0:32:44.916060
5402 [D loss: -0.006 R -0.046 F 0.035] [G loss: -0.018]  0:32:45.365210
5403 [D loss: -0.019 R -0.029 F -0.009] [G loss: -0.006]  0:32:45.789766
5404 [D loss: -0.028 R -0.042 F -0.014] [G loss: -0.007]  0:32:46.231465
5405 [D loss: -0.005 R -0.035 F 0.024] [G loss: -0.019]  0:32:46.669453
5406 [D loss: -0.005 R -0.026 F 0.016] [G loss: -0.008]  0:32:47.119310
5407 [D loss: -0.008 R -0.035 F 0.018] [G loss: -0.012]  0:32:47.596008
5408 [D loss: -0.011 R -0.050 F 0.029] [G loss: -0.014]  0:32:48.047754
5409 [D loss: -0.018 R -0.041 F 0.004] [G loss: -0.003]  0:32:48.530659
5410 [D loss: -0.004 R -0.027 F 0.020] [G loss: 0.001]  0:32:48.989974
5411 [D loss: -0.007 R -0.020 F 0.007] [G loss: -0.003]  0:32:49.424740
5412 [D loss: -0.010 R -0.031 F 0.011] [G loss: 0.001]  0:32:49.875891
5413 [D loss: -0.012 R -0.038 F 0.015] [G loss: -0.007]  0:32:50.328242
5414 [D loss: -0.001 R -0.035 F 0.032] [G loss: -0.011]  0:32:50.759175
5415 [D loss: -0.009 R -0.029 F 0.012] [G loss: -0.013]  0:32:51.196647
5416 [D loss: -0.006 R -0.035 F 0.023] [G loss: -0.008]  0:32:51.656638
5417 [D loss: -0.010 R -0.030 F 0.010] [G loss: -0.008]  0:32:52.103644
5418 [D loss: -0.012 R -0.033 F 0.010] [G loss: 0.006]  0:32:52.538503
5419 [D loss: -0.018 R -0.040 F 0.005] [G loss: 0.008]  0:32:52.978096
5420 [D loss: -0.008 R -0.029 F 0.014] [G loss: 0.004]  0:32:53.420479
5421 [D loss: -0.002 R -0.019 F 0.015] [G loss: 0.007]  0:32:53.859241
5422 [D loss: -0.006 R -0.023 F 0.012] [G loss: -0.006]  0:32:54.324102
5423 [D loss: 0.000 R -0.030 F 0.031] [G loss: -0.016]  0:32:54.764310
5424 [D loss: -0.003 R -0.024 F 0.018] [G loss: -0.008]  0:32:55.209783
5425 [D loss: -0.006 R -0.033 F 0.021] [G loss: -0.012]  0:32:55.658153
5426 [D loss: -0.008 R -0.034 F 0.018] [G loss: -0.013]  0:32:56.102420
5427 [D loss: -0.014 R -0.042 F 0.014] [G loss: -0.002]  0:32:56.539361
5428 [D loss: -0.008 R -0.028 F 0.012] [G loss: -0.008]  0:32:56.974600
5429 [D loss: -0.011 R -0.042 F 0.019] [G loss: -0.002]  0:32:57.441455
5430 [D loss: -0.015 R -0.048 F 0.018] [G loss: -0.004]  0:32:57.876306
5431 [D loss: -0.010 R -0.037 F 0.016] [G loss: -0.017]  0:32:58.374964
5432 [D loss: -0.009 R -0.043 F 0.024] [G loss: -0.024]  0:32:58.825919
5433 [D loss: -0.006 R -0.043 F 0.031] [G loss: -0.013]  0:32:59.240045
5434 [D loss: -0.008 R -0.037 F 0.020] [G loss: -0.017]  0:32:59.723118
5435 [D loss: -0.013 R -0.055 F 0.029] [G loss: -0.025]  0:33:00.179318
5436 [D loss: -0.007 R -0.041 F 0.026] [G loss: -0.020]  0:33:00.613183
5437 [D loss: -0.013 R -0.039 F 0.014] [G loss: -0.021]  0:33:01.045752
5438 [D loss: -0.016 R -0.045 F 0.013] [G loss: -0.012]  0:33:01.498472
5439 [D loss: 0.000 R -0.022 F 0.023] [G loss: -0.012]  0:33:01.965963
5440 [D loss: -0.008 R -0.035 F 0.019] [G loss: -0.006]  0:33:02.430185
5441 [D loss: -0.011 R -0.036 F 0.013] [G loss: 0.002]  0:33:02.860409
5442 [D loss: -0.014 R -0.034 F 0.006] [G loss: 0.006]  0:33:03.290218
5443 [D loss: -0.013 R -0.033 F 0.008] [G loss: -0.007]  0:33:03.748581
5444 [D loss: -0.011 R -0.035 F 0.013] [G loss: 0.003]  0:33:04.181413
5445 [D loss: -0.009 R -0.038 F 0.019] [G loss: -0.007]  0:33:04.639503
5446 [D loss: -0.006 R -0.031 F 0.019] [G loss: -0.005]  0:33:05.070284
5447 [D loss: -0.009 R -0.036 F 0.018] [G loss: -0.015]  0:33:05.526712
5448 [D loss: -0.014 R -0.038 F 0.011] [G loss: -0.008]  0:33:05.982277
5449 [D loss: -0.004 R -0.029 F 0.022] [G loss: -0.007]  0:33:06.425289
5450 [D loss: -0.004 R -0.031 F 0.022] [G loss: -0.011]  0:33:06.880146
5451 [D loss: -0.010 R -0.040 F 0.020] [G loss: -0.013]  0:33:07.321808
5452 [D loss: -0.002 R -0.029 F 0.025] [G loss: -0.007]  0:33:07.766493
5453 [D loss: -0.000 R -0.029 F 0.029] [G loss: -0.005]  0:33:08.203349
5454 [D loss: -0.008 R -0.034 F 0.018] [G loss: -0.006]  0:33:08.670222
5455 [D loss: -0.010 R -0.037 F 0.018] [G loss: -0.003]  0:33:09.117533
5456 [D loss: -0.002 R -0.027 F 0.023] [G loss: -0.006]  0:33:09.595292
5457 [D loss: -0.011 R -0.038 F 0.016] [G loss: 0.008]  0:33:10.030207
5458 [D loss: -0.009 R -0.031 F 0.013] [G loss: 0.005]  0:33:10.504640
5459 [D loss: -0.006 R -0.025 F 0.014] [G loss: -0.006]  0:33:10.953221
5460 [D loss: -0.014 R -0.041 F 0.014] [G loss: -0.002]  0:33:11.380891
5461 [D loss: -0.015 R -0.032 F 0.001] [G loss: -0.006]  0:33:11.833486
5462 [D loss: -0.016 R -0.038 F 0.007] [G loss: -0.009]  0:33:12.290162
5463 [D loss: -0.008 R -0.031 F 0.015] [G loss: -0.012]  0:33:12.737540
5464 [D loss: -0.014 R -0.042 F 0.014] [G loss: -0.018]  0:33:13.174899
5465 [D loss: -0.015 R -0.031 F 0.001] [G loss: -0.005]  0:33:13.619638
5466 [D loss: -0.009 R -0.036 F 0.018] [G loss: -0.014]  0:33:14.076375
5467 [D loss: -0.005 R -0.036 F 0.026] [G loss: -0.014]  0:33:14.515672
5468 [D loss: 0.001 R -0.028 F 0.030] [G loss: -0.022]  0:33:14.957287
5469 [D loss: -0.008 R -0.042 F 0.026] [G loss: -0.017]  0:33:15.397982
5470 [D loss: -0.008 R -0.038 F 0.022] [G loss: -0.017]  0:33:15.855300
5471 [D loss: -0.015 R -0.038 F 0.008] [G loss: 0.003]  0:33:16.301851
5472 [D loss: -0.031 R -0.042 F -0.020] [G loss: 0.012]  0:33:16.763812
5473 [D loss: -0.012 R -0.029 F 0.004] [G loss: 0.008]  0:33:17.199378
5474 [D loss: -0.010 R -0.031 F 0.010] [G loss: -0.002]  0:33:17.659029
5475 [D loss: -0.012 R -0.042 F 0.018] [G loss: -0.010]  0:33:18.096578
5476 [D loss: -0.008 R -0.039 F 0.022] [G loss: -0.008]  0:33:18.547678
5477 [D loss: -0.011 R -0.046 F 0.024] [G loss: -0.020]  0:33:19.008906
5478 [D loss: -0.019 R -0.057 F 0.018] [G loss: -0.019]  0:33:19.455040
5479 [D loss: -0.019 R -0.061 F 0.023] [G loss: -0.022]  0:33:19.919182
5480 [D loss: -0.010 R -0.052 F 0.031] [G loss: -0.017]  0:33:20.351525
5481 [D loss: -0.001 R -0.036 F 0.034] [G loss: -0.025]  0:33:20.785861
5482 [D loss: -0.005 R -0.042 F 0.031] [G loss: -0.022]  0:33:21.210562
5483 [D loss: -0.011 R -0.044 F 0.022] [G loss: -0.028]  0:33:21.648609
5484 [D loss: -0.004 R -0.027 F 0.018] [G loss: -0.027]  0:33:22.092734
5485 [D loss: -0.016 R -0.032 F 0.001] [G loss: -0.025]  0:33:22.532874
5486 [D loss: -0.028 R -0.036 F -0.019] [G loss: -0.014]  0:33:22.989550
5487 [D loss: -0.013 R -0.031 F 0.004] [G loss: -0.014]  0:33:23.464995
5488 [D loss: -0.017 R -0.047 F 0.013] [G loss: -0.010]  0:33:23.938239
5489 [D loss: -0.017 R -0.043 F 0.008] [G loss: -0.006]  0:33:24.395613
5490 [D loss: -0.025 R -0.044 F -0.006] [G loss: -0.004]  0:33:24.865940
5491 [D loss: -0.030 R -0.031 F -0.030] [G loss: 0.014]  0:33:25.305441
5492 [D loss: -0.035 R -0.028 F -0.042] [G loss: -0.003]  0:33:25.771476
5493 [D loss: -0.027 R -0.043 F -0.012] [G loss: -0.013]  0:33:26.213525
5494 [D loss: -0.013 R -0.054 F 0.029] [G loss: -0.019]  0:33:26.666492
5495 [D loss: -0.010 R -0.057 F 0.037] [G loss: -0.020]  0:33:27.105234
5496 [D loss: -0.024 R -0.069 F 0.021] [G loss: -0.026]  0:33:27.532021
5497 [D loss: -0.008 R -0.052 F 0.036] [G loss: -0.020]  0:33:28.003906
5498 [D loss: -0.013 R -0.045 F 0.019] [G loss: -0.014]  0:33:28.469680
5499 [D loss: -0.015 R -0.040 F 0.010] [G loss: -0.003]  0:33:28.916579
5500 [D loss: -0.010 R -0.036 F 0.015] [G loss: -0.001]  0:33:29.380964
5501 [D loss: -0.006 R -0.041 F 0.028] [G loss: -0.002]  0:33:29.831157
5502 [D loss: -0.001 R -0.029 F 0.027] [G loss: -0.011]  0:33:30.258269
5503 [D loss: -0.004 R -0.034 F 0.026] [G loss: -0.017]  0:33:30.697589
5504 [D loss: -0.014 R -0.051 F 0.024] [G loss: -0.023]  0:33:31.129984
5505 [D loss: -0.001 R -0.032 F 0.030] [G loss: -0.017]  0:33:31.594528
5506 [D loss: -0.011 R -0.046 F 0.023] [G loss: -0.010]  0:33:32.036223
5507 [D loss: -0.011 R -0.039 F 0.017] [G loss: 0.008]  0:33:32.482634
5508 [D loss: -0.015 R -0.042 F 0.012] [G loss: -0.004]  0:33:32.925410
5509 [D loss: -0.013 R -0.058 F 0.032] [G loss: -0.013]  0:33:33.360530
5510 [D loss: -0.012 R -0.045 F 0.022] [G loss: -0.029]  0:33:33.808243
5511 [D loss: -0.015 R -0.055 F 0.026] [G loss: -0.037]  0:33:34.255233
5512 [D loss: -0.001 R -0.059 F 0.058] [G loss: -0.047]  0:33:34.758682
5513 [D loss: -0.000 R -0.047 F 0.046] [G loss: -0.037]  0:33:35.193247
5514 [D loss: -0.009 R -0.046 F 0.028] [G loss: -0.017]  0:33:35.663681
5515 [D loss: -0.012 R -0.030 F 0.006] [G loss: -0.004]  0:33:36.095076
5516 [D loss: -0.004 R -0.028 F 0.020] [G loss: -0.008]  0:33:36.514624
5517 [D loss: -0.008 R -0.035 F 0.020] [G loss: -0.007]  0:33:36.955003
5518 [D loss: 0.005 R -0.008 F 0.017] [G loss: -0.018]  0:33:37.374650
5519 [D loss: -0.007 R -0.031 F 0.016] [G loss: -0.008]  0:33:37.821315
5520 [D loss: -0.014 R -0.038 F 0.010] [G loss: -0.002]  0:33:38.254838
5521 [D loss: -0.017 R -0.042 F 0.007] [G loss: -0.001]  0:33:38.727339
5522 [D loss: -0.023 R -0.044 F -0.002] [G loss: -0.005]  0:33:39.171878
5523 [D loss: -0.010 R -0.040 F 0.019] [G loss: -0.012]  0:33:39.639658
5524 [D loss: -0.009 R -0.041 F 0.023] [G loss: -0.004]  0:33:40.072317
5525 [D loss: -0.012 R -0.055 F 0.031] [G loss: -0.015]  0:33:40.513300
5526 [D loss: -0.011 R -0.054 F 0.033] [G loss: -0.015]  0:33:40.968957
5527 [D loss: -0.019 R -0.053 F 0.015] [G loss: -0.011]  0:33:41.417944
5528 [D loss: -0.006 R -0.027 F 0.015] [G loss: -0.003]  0:33:41.870389
5529 [D loss: -0.019 R -0.049 F 0.011] [G loss: -0.003]  0:33:42.310928
5530 [D loss: -0.004 R -0.044 F 0.037] [G loss: -0.013]  0:33:42.769055
5531 [D loss: -0.001 R -0.029 F 0.026] [G loss: -0.014]  0:33:43.225351
5532 [D loss: -0.004 R -0.030 F 0.022] [G loss: -0.011]  0:33:43.688121
5533 [D loss: -0.005 R -0.032 F 0.022] [G loss: -0.002]  0:33:44.131255
5534 [D loss: -0.011 R -0.028 F 0.005] [G loss: -0.011]  0:33:44.591468
5535 [D loss: -0.010 R -0.035 F 0.015] [G loss: -0.010]  0:33:45.045620
5536 [D loss: -0.014 R -0.032 F 0.004] [G loss: -0.002]  0:33:45.466013
5537 [D loss: -0.018 R -0.032 F -0.003] [G loss: -0.011]  0:33:45.899278
5538 [D loss: -0.002 R -0.029 F 0.026] [G loss: -0.008]  0:33:46.340447
5539 [D loss: -0.015 R -0.033 F 0.004] [G loss: 0.013]  0:33:46.782488
5540 [D loss: -0.014 R -0.026 F -0.002] [G loss: 0.004]  0:33:47.206442
5541 [D loss: -0.012 R -0.030 F 0.005] [G loss: -0.002]  0:33:47.653659
5542 [D loss: -0.011 R -0.038 F 0.015] [G loss: 0.001]  0:33:48.089237
5543 [D loss: -0.010 R -0.033 F 0.012] [G loss: -0.009]  0:33:48.533134
5544 [D loss: -0.025 R -0.050 F -0.000] [G loss: -0.001]  0:33:48.959031
5545 [D loss: -0.018 R -0.036 F -0.001] [G loss: 0.005]  0:33:49.404605
5546 [D loss: -0.022 R -0.047 F 0.003] [G loss: -0.022]  0:33:49.836619
5547 [D loss: -0.007 R -0.029 F 0.016] [G loss: -0.009]  0:33:50.301863
5548 [D loss: -0.001 R -0.045 F 0.043] [G loss: -0.017]  0:33:50.743835
5549 [D loss: 0.003 R -0.042 F 0.047] [G loss: -0.020]  0:33:51.177334
5550 [D loss: -0.008 R -0.048 F 0.031] [G loss: -0.022]  0:33:51.615039
5551 [D loss: 0.000 R -0.045 F 0.045] [G loss: -0.020]  0:33:52.075059
5552 [D loss: -0.006 R -0.061 F 0.050] [G loss: -0.030]  0:33:52.532876
5553 [D loss: -0.012 R -0.065 F 0.042] [G loss: -0.035]  0:33:52.953380
5554 [D loss: -0.001 R -0.048 F 0.046] [G loss: -0.031]  0:33:53.399818
5555 [D loss: -0.006 R -0.054 F 0.042] [G loss: -0.027]  0:33:53.893921
5556 [D loss: -0.012 R -0.051 F 0.026] [G loss: -0.018]  0:33:54.354517
5557 [D loss: -0.015 R -0.042 F 0.011] [G loss: -0.002]  0:33:54.794252
5558 [D loss: -0.004 R -0.032 F 0.025] [G loss: -0.012]  0:33:55.242883
5559 [D loss: -0.027 R -0.056 F 0.002] [G loss: -0.012]  0:33:55.683852
5560 [D loss: -0.023 R -0.046 F -0.000] [G loss: -0.027]  0:33:56.140395
5561 [D loss: -0.024 R -0.048 F -0.001] [G loss: -0.027]  0:33:56.580386
5562 [D loss: -0.007 R -0.046 F 0.032] [G loss: -0.027]  0:33:57.010917
5563 [D loss: -0.009 R -0.062 F 0.044] [G loss: -0.021]  0:33:57.449734
5564 [D loss: 0.002 R -0.040 F 0.044] [G loss: -0.022]  0:33:57.873620
5565 [D loss: 0.003 R -0.040 F 0.047] [G loss: -0.026]  0:33:58.605773
5566 [D loss: -0.003 R -0.043 F 0.036] [G loss: -0.014]  0:33:59.054794
5567 [D loss: -0.013 R -0.040 F 0.014] [G loss: -0.011]  0:33:59.500712
5568 [D loss: -0.014 R -0.031 F 0.003] [G loss: 0.000]  0:33:59.961461
5569 [D loss: -0.011 R -0.041 F 0.020] [G loss: -0.004]  0:34:00.437463
5570 [D loss: -0.010 R -0.029 F 0.009] [G loss: -0.003]  0:34:00.910787
5571 [D loss: -0.010 R -0.029 F 0.008] [G loss: 0.004]  0:34:01.347455
5572 [D loss: -0.009 R -0.027 F 0.009] [G loss: -0.003]  0:34:01.789189
5573 [D loss: -0.011 R -0.033 F 0.012] [G loss: -0.014]  0:34:02.224528
5574 [D loss: -0.010 R -0.033 F 0.014] [G loss: -0.012]  0:34:02.685317
5575 [D loss: -0.005 R -0.034 F 0.024] [G loss: -0.015]  0:34:03.120385
5576 [D loss: -0.014 R -0.043 F 0.016] [G loss: -0.014]  0:34:03.577558
5577 [D loss: -0.015 R -0.054 F 0.024] [G loss: -0.012]  0:34:04.030626
5578 [D loss: -0.002 R -0.043 F 0.039] [G loss: -0.015]  0:34:04.469143
5579 [D loss: -0.008 R -0.050 F 0.034] [G loss: -0.009]  0:34:04.883782
5580 [D loss: -0.020 R -0.053 F 0.012] [G loss: -0.019]  0:34:05.342685
5581 [D loss: 0.001 R -0.044 F 0.046] [G loss: -0.039]  0:34:05.802051
5582 [D loss: -0.006 R -0.041 F 0.029] [G loss: -0.031]  0:34:06.254234
5583 [D loss: 0.001 R -0.034 F 0.036] [G loss: -0.022]  0:34:06.683352
5584 [D loss: -0.007 R -0.040 F 0.025] [G loss: -0.014]  0:34:07.142428
5585 [D loss: -0.008 R -0.032 F 0.015] [G loss: -0.005]  0:34:07.618756
5586 [D loss: -0.011 R -0.038 F 0.017] [G loss: -0.005]  0:34:08.063792
5587 [D loss: -0.019 R -0.046 F 0.008] [G loss: 0.014]  0:34:08.503538
5588 [D loss: -0.022 R -0.035 F -0.009] [G loss: 0.013]  0:34:08.949963
5589 [D loss: -0.023 R -0.042 F -0.005] [G loss: 0.012]  0:34:09.382493
5590 [D loss: -0.018 R -0.042 F 0.005] [G loss: -0.002]  0:34:09.828988
5591 [D loss: -0.016 R -0.047 F 0.015] [G loss: -0.009]  0:34:10.291971
5592 [D loss: -0.009 R -0.040 F 0.022] [G loss: -0.030]  0:34:10.757639
5593 [D loss: -0.004 R -0.039 F 0.031] [G loss: -0.018]  0:34:11.176136
5594 [D loss: -0.012 R -0.043 F 0.019] [G loss: -0.012]  0:34:11.616348
5595 [D loss: -0.009 R -0.037 F 0.019] [G loss: -0.017]  0:34:12.071770
5596 [D loss: -0.021 R -0.045 F 0.003] [G loss: -0.006]  0:34:12.514419
5597 [D loss: -0.012 R -0.051 F 0.027] [G loss: -0.011]  0:34:12.953280
5598 [D loss: -0.009 R -0.044 F 0.025] [G loss: -0.029]  0:34:13.443931
5599 [D loss: -0.006 R -0.044 F 0.033] [G loss: -0.030]  0:34:13.894973
5600 [D loss: -0.002 R -0.044 F 0.039] [G loss: -0.028]  0:34:14.342072
5601 [D loss: -0.006 R -0.046 F 0.035] [G loss: -0.029]  0:34:14.816037
5602 [D loss: -0.009 R -0.048 F 0.029] [G loss: -0.016]  0:34:15.265959
5603 [D loss: -0.018 R -0.049 F 0.013] [G loss: -0.012]  0:34:15.716425
5604 [D loss: -0.015 R -0.049 F 0.018] [G loss: -0.011]  0:34:16.165053
5605 [D loss: -0.015 R -0.040 F 0.010] [G loss: -0.007]  0:34:16.609022
5606 [D loss: -0.013 R -0.041 F 0.016] [G loss: -0.003]  0:34:17.032255
5607 [D loss: -0.004 R -0.012 F 0.004] [G loss: -0.018]  0:34:17.499261
5608 [D loss: -0.023 R -0.039 F -0.008] [G loss: -0.011]  0:34:17.949369
5609 [D loss: -0.022 R -0.026 F -0.017] [G loss: -0.010]  0:34:18.402945
5610 [D loss: -0.017 R -0.025 F -0.010] [G loss: -0.014]  0:34:18.856391
5611 [D loss: -0.016 R -0.021 F -0.011] [G loss: -0.002]  0:34:19.299038
5612 [D loss: -0.008 R -0.009 F -0.008] [G loss: 0.010]  0:34:19.744472
5613 [D loss: 0.002 R -0.012 F 0.016] [G loss: 0.008]  0:34:20.196502
5614 [D loss: -0.006 R -0.022 F 0.010] [G loss: 0.013]  0:34:20.663034
5615 [D loss: -0.007 R -0.024 F 0.009] [G loss: 0.000]  0:34:21.107605
5616 [D loss: -0.013 R -0.023 F -0.003] [G loss: -0.002]  0:34:21.615762
5617 [D loss: -0.023 R -0.028 F -0.017] [G loss: 0.001]  0:34:22.054168
5618 [D loss: -0.012 R -0.022 F -0.002] [G loss: 0.011]  0:34:22.485508
5619 [D loss: -0.010 R -0.038 F 0.018] [G loss: 0.005]  0:34:22.921165
5620 [D loss: -0.020 R -0.027 F -0.013] [G loss: 0.031]  0:34:23.344611
5621 [D loss: -0.017 R -0.020 F -0.014] [G loss: 0.025]  0:34:23.812480
5622 [D loss: -0.026 R -0.033 F -0.020] [G loss: 0.019]  0:34:24.251676
5623 [D loss: -0.007 R -0.025 F 0.012] [G loss: -0.010]  0:34:24.744493
5624 [D loss: 0.002 R -0.027 F 0.031] [G loss: -0.016]  0:34:25.183771
5625 [D loss: -0.005 R -0.037 F 0.027] [G loss: -0.025]  0:34:25.634091
5626 [D loss: -0.007 R -0.045 F 0.030] [G loss: -0.025]  0:34:26.072643
5627 [D loss: -0.000 R -0.028 F 0.028] [G loss: -0.019]  0:34:26.520927
5628 [D loss: -0.009 R -0.041 F 0.023] [G loss: -0.014]  0:34:26.982690
5629 [D loss: -0.014 R -0.047 F 0.018] [G loss: -0.015]  0:34:27.412189
5630 [D loss: -0.014 R -0.047 F 0.019] [G loss: -0.017]  0:34:27.852023
5631 [D loss: -0.015 R -0.044 F 0.015] [G loss: -0.012]  0:34:28.308607
5632 [D loss: 0.000 R -0.032 F 0.033] [G loss: -0.021]  0:34:28.773634
5633 [D loss: -0.009 R -0.053 F 0.036] [G loss: -0.028]  0:34:29.233423
5634 [D loss: -0.006 R -0.049 F 0.036] [G loss: -0.039]  0:34:29.736233
5635 [D loss: -0.005 R -0.044 F 0.034] [G loss: -0.032]  0:34:30.222779
5636 [D loss: -0.003 R -0.046 F 0.039] [G loss: -0.021]  0:34:30.678297
5637 [D loss: -0.018 R -0.053 F 0.016] [G loss: -0.015]  0:34:31.123357
5638 [D loss: -0.025 R -0.067 F 0.018] [G loss: -0.005]  0:34:31.559494
5639 [D loss: -0.030 R -0.067 F 0.007] [G loss: 0.003]  0:34:32.019650
5640 [D loss: -0.017 R -0.057 F 0.022] [G loss: -0.007]  0:34:32.482375
5641 [D loss: -0.019 R -0.040 F 0.002] [G loss: -0.017]  0:34:32.946478
5642 [D loss: -0.011 R -0.053 F 0.030] [G loss: -0.024]  0:34:33.403405
5643 [D loss: -0.012 R -0.040 F 0.017] [G loss: -0.039]  0:34:33.844775
5644 [D loss: -0.013 R -0.042 F 0.015] [G loss: -0.035]  0:34:34.321471
5645 [D loss: -0.008 R -0.042 F 0.025] [G loss: -0.024]  0:34:34.793816
5646 [D loss: -0.010 R -0.044 F 0.023] [G loss: -0.016]  0:34:35.256867
5647 [D loss: -0.008 R -0.040 F 0.024] [G loss: -0.015]  0:34:35.704410
5648 [D loss: -0.016 R -0.047 F 0.015] [G loss: -0.009]  0:34:36.127782
5649 [D loss: -0.016 R -0.041 F 0.009] [G loss: -0.011]  0:34:36.583752
5650 [D loss: -0.006 R -0.030 F 0.018] [G loss: -0.014]  0:34:37.015777
5651 [D loss: -0.012 R -0.030 F 0.006] [G loss: -0.014]  0:34:37.459682
5652 [D loss: -0.016 R -0.044 F 0.012] [G loss: -0.021]  0:34:37.929569
5653 [D loss: -0.012 R -0.045 F 0.021] [G loss: -0.008]  0:34:38.384144
5654 [D loss: -0.019 R -0.039 F 0.002] [G loss: 0.000]  0:34:38.824603
5655 [D loss: -0.025 R -0.057 F 0.006] [G loss: 0.004]  0:34:39.270825
5656 [D loss: -0.009 R -0.039 F 0.022] [G loss: -0.000]  0:34:39.735729
5657 [D loss: -0.015 R -0.038 F 0.008] [G loss: -0.001]  0:34:40.181526
5658 [D loss: -0.006 R -0.036 F 0.025] [G loss: -0.014]  0:34:40.621382
5659 [D loss: -0.005 R -0.034 F 0.024] [G loss: -0.021]  0:34:41.062955
5660 [D loss: -0.000 R -0.043 F 0.043] [G loss: -0.041]  0:34:41.518331
5661 [D loss: -0.008 R -0.058 F 0.042] [G loss: -0.046]  0:34:41.957225
5662 [D loss: -0.003 R -0.049 F 0.042] [G loss: -0.044]  0:34:42.388169
5663 [D loss: -0.008 R -0.054 F 0.038] [G loss: -0.030]  0:34:42.825580
5664 [D loss: -0.010 R -0.046 F 0.026] [G loss: -0.019]  0:34:43.234257
5665 [D loss: -0.002 R -0.047 F 0.043] [G loss: -0.022]  0:34:43.646544
5666 [D loss: -0.007 R -0.041 F 0.026] [G loss: -0.026]  0:34:44.078056
5667 [D loss: -0.011 R -0.040 F 0.019] [G loss: -0.020]  0:34:44.562480
5668 [D loss: -0.016 R -0.045 F 0.014] [G loss: -0.030]  0:34:45.034641
5669 [D loss: -0.005 R -0.035 F 0.024] [G loss: -0.016]  0:34:45.460324
5670 [D loss: -0.015 R -0.034 F 0.005] [G loss: 0.002]  0:34:45.880247
5671 [D loss: -0.004 R -0.016 F 0.008] [G loss: 0.017]  0:34:46.312907
5672 [D loss: -0.008 R -0.020 F 0.004] [G loss: 0.020]  0:34:46.754330
5673 [D loss: -0.016 R -0.028 F -0.005] [G loss: 0.008]  0:34:47.208505
5674 [D loss: -0.013 R -0.039 F 0.014] [G loss: 0.005]  0:34:47.651251
5675 [D loss: -0.013 R -0.030 F 0.003] [G loss: -0.006]  0:34:48.105908
5676 [D loss: -0.017 R -0.036 F 0.003] [G loss: -0.006]  0:34:48.535099
5677 [D loss: -0.029 R -0.048 F -0.010] [G loss: -0.005]  0:34:48.978920
5678 [D loss: -0.013 R -0.040 F 0.015] [G loss: -0.015]  0:34:49.414108
5679 [D loss: -0.016 R -0.034 F 0.002] [G loss: -0.028]  0:34:49.871040
5680 [D loss: 0.001 R -0.033 F 0.035] [G loss: -0.015]  0:34:50.284462
5681 [D loss: -0.008 R -0.035 F 0.019] [G loss: -0.007]  0:34:50.720974
5682 [D loss: -0.006 R -0.033 F 0.022] [G loss: -0.004]  0:34:51.167055
5683 [D loss: 0.008 R -0.016 F 0.032] [G loss: -0.010]  0:34:51.620543
5684 [D loss: -0.003 R -0.028 F 0.021] [G loss: -0.014]  0:34:52.072672
5685 [D loss: -0.009 R -0.038 F 0.020] [G loss: -0.016]  0:34:52.489618
5686 [D loss: -0.002 R -0.030 F 0.027] [G loss: -0.013]  0:34:52.930538
5687 [D loss: -0.006 R -0.037 F 0.025] [G loss: -0.023]  0:34:53.372645
5688 [D loss: -0.008 R -0.050 F 0.035] [G loss: -0.018]  0:34:53.815793
5689 [D loss: -0.004 R -0.047 F 0.039] [G loss: -0.019]  0:34:54.251449
5690 [D loss: -0.003 R -0.045 F 0.039] [G loss: -0.018]  0:34:54.698869
5691 [D loss: -0.009 R -0.035 F 0.018] [G loss: 0.006]  0:34:55.141906
5692 [D loss: -0.014 R -0.038 F 0.010] [G loss: 0.002]  0:34:55.584697
5693 [D loss: -0.017 R -0.032 F -0.001] [G loss: 0.020]  0:34:56.048238
5694 [D loss: -0.024 R -0.041 F -0.007] [G loss: 0.011]  0:34:56.510534
5695 [D loss: -0.012 R -0.037 F 0.013] [G loss: -0.002]  0:34:56.959532
5696 [D loss: -0.010 R -0.047 F 0.028] [G loss: -0.021]  0:34:57.398361
5697 [D loss: -0.007 R -0.044 F 0.031] [G loss: -0.023]  0:34:57.840991
5698 [D loss: -0.006 R -0.042 F 0.030] [G loss: -0.032]  0:34:58.292447
5699 [D loss: -0.008 R -0.043 F 0.027] [G loss: -0.033]  0:34:58.735088
5700 [D loss: 0.004 R -0.038 F 0.045] [G loss: -0.030]  0:34:59.206076
5701 [D loss: 0.001 R -0.025 F 0.026] [G loss: -0.020]  0:34:59.646192
5702 [D loss: -0.006 R -0.034 F 0.023] [G loss: -0.013]  0:35:00.094411
5703 [D loss: -0.015 R -0.036 F 0.006] [G loss: 0.006]  0:35:00.551598
5704 [D loss: -0.011 R -0.033 F 0.012] [G loss: -0.009]  0:35:00.980673
5705 [D loss: -0.010 R -0.043 F 0.023] [G loss: -0.019]  0:35:01.426073
5706 [D loss: -0.005 R -0.047 F 0.038] [G loss: -0.020]  0:35:01.901329
5707 [D loss: -0.019 R -0.050 F 0.011] [G loss: -0.019]  0:35:02.350205
5708 [D loss: -0.006 R -0.040 F 0.028] [G loss: -0.017]  0:35:02.782411
5709 [D loss: -0.010 R -0.035 F 0.015] [G loss: -0.010]  0:35:03.215632
5710 [D loss: -0.017 R -0.040 F 0.005] [G loss: -0.009]  0:35:03.653698
5711 [D loss: -0.015 R -0.040 F 0.009] [G loss: -0.009]  0:35:04.112692
5712 [D loss: -0.004 R -0.031 F 0.022] [G loss: -0.007]  0:35:04.571148
5713 [D loss: -0.013 R -0.041 F 0.014] [G loss: -0.021]  0:35:05.007331
5714 [D loss: -0.003 R -0.039 F 0.033] [G loss: -0.024]  0:35:05.451603
5715 [D loss: -0.006 R -0.044 F 0.032] [G loss: -0.025]  0:35:05.906979
5716 [D loss: -0.006 R -0.048 F 0.035] [G loss: -0.028]  0:35:06.372919
5717 [D loss: -0.011 R -0.047 F 0.025] [G loss: -0.021]  0:35:06.816602
5718 [D loss: -0.008 R -0.046 F 0.029] [G loss: -0.028]  0:35:07.267533
5719 [D loss: -0.007 R -0.058 F 0.043] [G loss: -0.041]  0:35:07.700516
5720 [D loss: -0.005 R -0.054 F 0.044] [G loss: -0.039]  0:35:08.131423
5721 [D loss: 0.004 R -0.033 F 0.041] [G loss: -0.030]  0:35:08.590322
5722 [D loss: -0.008 R -0.044 F 0.027] [G loss: -0.013]  0:35:09.026606
5723 [D loss: -0.011 R -0.031 F 0.009] [G loss: 0.009]  0:35:09.482591
5724 [D loss: -0.020 R -0.036 F -0.004] [G loss: 0.011]  0:35:09.926906
5725 [D loss: -0.021 R -0.036 F -0.006] [G loss: 0.010]  0:35:10.414473
5726 [D loss: -0.013 R -0.035 F 0.008] [G loss: -0.009]  0:35:10.864041
5727 [D loss: -0.016 R -0.046 F 0.013] [G loss: -0.021]  0:35:11.314934
5728 [D loss: -0.015 R -0.036 F 0.006] [G loss: -0.021]  0:35:11.765825
5729 [D loss: -0.001 R -0.023 F 0.021] [G loss: -0.021]  0:35:12.185643
5730 [D loss: -0.001 R -0.013 F 0.011] [G loss: -0.025]  0:35:12.623132
5731 [D loss: -0.001 R -0.034 F 0.032] [G loss: -0.018]  0:35:13.040407
5732 [D loss: -0.002 R -0.028 F 0.025] [G loss: -0.004]  0:35:13.484852
5733 [D loss: -0.019 R -0.048 F 0.010] [G loss: 0.004]  0:35:13.915645
5734 [D loss: -0.014 R -0.036 F 0.008] [G loss: 0.009]  0:35:14.356452
5735 [D loss: -0.020 R -0.029 F -0.010] [G loss: 0.006]  0:35:14.827122
5736 [D loss: -0.023 R -0.043 F -0.002] [G loss: 0.005]  0:35:15.276606
5737 [D loss: -0.013 R -0.031 F 0.005] [G loss: -0.011]  0:35:15.708710
5738 [D loss: -0.007 R -0.027 F 0.013] [G loss: -0.012]  0:35:16.135696
5739 [D loss: -0.014 R -0.033 F 0.005] [G loss: -0.007]  0:35:16.564946
5740 [D loss: -0.010 R -0.037 F 0.017] [G loss: 0.002]  0:35:17.270476
5741 [D loss: -0.017 R -0.038 F 0.005] [G loss: 0.000]  0:35:17.730709
5742 [D loss: -0.017 R -0.038 F 0.003] [G loss: 0.003]  0:35:18.177587
5743 [D loss: -0.023 R -0.050 F 0.003] [G loss: -0.006]  0:35:18.618726
5744 [D loss: -0.008 R -0.044 F 0.029] [G loss: -0.033]  0:35:19.044864
5745 [D loss: -0.009 R -0.052 F 0.034] [G loss: -0.031]  0:35:19.489610
5746 [D loss: -0.010 R -0.049 F 0.029] [G loss: -0.029]  0:35:19.920153
5747 [D loss: -0.008 R -0.052 F 0.036] [G loss: -0.033]  0:35:20.377719
5748 [D loss: -0.011 R -0.057 F 0.034] [G loss: -0.032]  0:35:20.817153
5749 [D loss: -0.014 R -0.068 F 0.039] [G loss: -0.032]  0:35:21.321815
5750 [D loss: -0.018 R -0.064 F 0.029] [G loss: -0.037]  0:35:21.810932
5751 [D loss: -0.020 R -0.066 F 0.026] [G loss: -0.043]  0:35:22.280554
5752 [D loss: -0.017 R -0.078 F 0.044] [G loss: -0.047]  0:35:22.704286
5753 [D loss: 0.000 R -0.057 F 0.057] [G loss: -0.038]  0:35:23.155727
5754 [D loss: -0.003 R -0.055 F 0.050] [G loss: -0.048]  0:35:23.595328
5755 [D loss: -0.008 R -0.056 F 0.040] [G loss: -0.037]  0:35:24.057424
5756 [D loss: -0.006 R -0.035 F 0.024] [G loss: -0.009]  0:35:24.496393
5757 [D loss: -0.014 R -0.041 F 0.013] [G loss: 0.008]  0:35:24.951010
5758 [D loss: -0.017 R -0.036 F 0.001] [G loss: 0.008]  0:35:25.410113
5759 [D loss: -0.010 R -0.023 F 0.004] [G loss: 0.001]  0:35:25.863090
5760 [D loss: -0.010 R -0.028 F 0.008] [G loss: -0.010]  0:35:26.305098
5761 [D loss: -0.013 R -0.016 F -0.009] [G loss: -0.006]  0:35:26.765375
5762 [D loss: -0.013 R -0.028 F 0.002] [G loss: -0.006]  0:35:27.217477
5763 [D loss: -0.010 R -0.005 F -0.015] [G loss: 0.004]  0:35:27.670321
5764 [D loss: -0.013 R -0.012 F -0.014] [G loss: 0.006]  0:35:28.102737
5765 [D loss: -0.015 R -0.024 F -0.007] [G loss: 0.010]  0:35:28.551654
5766 [D loss: -0.026 R -0.040 F -0.012] [G loss: -0.000]  0:35:28.999569
5767 [D loss: -0.009 R -0.029 F 0.012] [G loss: 0.006]  0:35:29.460483
5768 [D loss: -0.016 R -0.042 F 0.009] [G loss: 0.005]  0:35:29.922650
5769 [D loss: -0.018 R -0.052 F 0.016] [G loss: -0.006]  0:35:30.354362
5770 [D loss: -0.017 R -0.049 F 0.014] [G loss: -0.004]  0:35:30.822299
5771 [D loss: -0.027 R -0.070 F 0.017] [G loss: -0.039]  0:35:31.258961
5772 [D loss: -0.017 R -0.076 F 0.042] [G loss: -0.057]  0:35:31.717753
5773 [D loss: 0.003 R -0.062 F 0.068] [G loss: -0.049]  0:35:32.174767
5774 [D loss: -0.005 R -0.059 F 0.049] [G loss: -0.042]  0:35:32.619900
5775 [D loss: -0.014 R -0.060 F 0.031] [G loss: -0.033]  0:35:33.065850
5776 [D loss: -0.013 R -0.054 F 0.029] [G loss: -0.036]  0:35:33.521479
5777 [D loss: -0.010 R -0.069 F 0.049] [G loss: -0.032]  0:35:33.973652
5778 [D loss: 0.005 R -0.048 F 0.058] [G loss: -0.040]  0:35:34.422326
5779 [D loss: -0.000 R -0.037 F 0.036] [G loss: -0.032]  0:35:34.880159
5780 [D loss: -0.015 R -0.051 F 0.020] [G loss: -0.031]  0:35:35.315652
5781 [D loss: -0.012 R -0.030 F 0.006] [G loss: -0.028]  0:35:35.774414
5782 [D loss: -0.006 R -0.036 F 0.023] [G loss: -0.015]  0:35:36.201851
5783 [D loss: -0.031 R -0.049 F -0.013] [G loss: -0.005]  0:35:36.646835
5784 [D loss: -0.013 R -0.046 F 0.020] [G loss: 0.000]  0:35:37.089085
5785 [D loss: -0.016 R -0.034 F 0.002] [G loss: 0.000]  0:35:37.541936
5786 [D loss: -0.013 R -0.034 F 0.009] [G loss: 0.003]  0:35:37.980403
5787 [D loss: -0.018 R -0.040 F 0.004] [G loss: 0.003]  0:35:38.470420
5788 [D loss: -0.012 R -0.031 F 0.007] [G loss: -0.004]  0:35:38.916830
5789 [D loss: -0.006 R -0.014 F 0.003] [G loss: -0.008]  0:35:39.371926
5790 [D loss: -0.004 R -0.027 F 0.020] [G loss: -0.016]  0:35:39.807342
5791 [D loss: -0.016 R -0.034 F 0.002] [G loss: -0.016]  0:35:40.257243
5792 [D loss: -0.008 R -0.037 F 0.022] [G loss: -0.022]  0:35:40.725949
5793 [D loss: -0.011 R -0.032 F 0.010] [G loss: -0.007]  0:35:41.167222
5794 [D loss: -0.010 R -0.036 F 0.016] [G loss: -0.001]  0:35:41.611608
5795 [D loss: -0.011 R -0.038 F 0.016] [G loss: -0.012]  0:35:42.048067
5796 [D loss: -0.026 R -0.068 F 0.017] [G loss: -0.018]  0:35:42.509238
5797 [D loss: -0.007 R -0.045 F 0.032] [G loss: -0.033]  0:35:42.947855
5798 [D loss: -0.016 R -0.077 F 0.046] [G loss: -0.033]  0:35:43.381802
5799 [D loss: -0.003 R -0.042 F 0.035] [G loss: -0.056]  0:35:43.818025
5800 [D loss: 0.008 R -0.043 F 0.059] [G loss: -0.042]  0:35:44.247578
5801 [D loss: -0.020 R -0.065 F 0.025] [G loss: -0.032]  0:35:44.723309
5802 [D loss: -0.021 R -0.065 F 0.023] [G loss: -0.028]  0:35:45.165039
5803 [D loss: -0.019 R -0.055 F 0.017] [G loss: -0.018]  0:35:45.595035
5804 [D loss: -0.018 R -0.054 F 0.018] [G loss: -0.020]  0:35:46.025200
5805 [D loss: -0.026 R -0.078 F 0.027] [G loss: -0.013]  0:35:46.454754
5806 [D loss: -0.011 R -0.047 F 0.024] [G loss: -0.011]  0:35:46.907785
5807 [D loss: -0.017 R -0.035 F 0.001] [G loss: -0.033]  0:35:47.331233
5808 [D loss: -0.013 R -0.075 F 0.049] [G loss: -0.029]  0:35:47.788073
5809 [D loss: -0.018 R -0.058 F 0.022] [G loss: -0.038]  0:35:48.220007
5810 [D loss: 0.002 R -0.051 F 0.054] [G loss: -0.060]  0:35:48.643660
5811 [D loss: 0.002 R -0.053 F 0.057] [G loss: -0.057]  0:35:49.074955
5812 [D loss: -0.014 R -0.063 F 0.034] [G loss: -0.044]  0:35:49.491037
5813 [D loss: -0.012 R -0.063 F 0.039] [G loss: -0.025]  0:35:49.936568
5814 [D loss: -0.017 R -0.074 F 0.041] [G loss: -0.016]  0:35:50.383406
5815 [D loss: -0.021 R -0.055 F 0.012] [G loss: -0.008]  0:35:50.848297
5816 [D loss: -0.027 R -0.077 F 0.023] [G loss: -0.009]  0:35:51.284505
5817 [D loss: -0.006 R -0.051 F 0.038] [G loss: -0.025]  0:35:51.727256
5818 [D loss: -0.008 R -0.063 F 0.047] [G loss: -0.038]  0:35:52.172641
5819 [D loss: -0.003 R -0.052 F 0.046] [G loss: -0.048]  0:35:52.614099
5820 [D loss: -0.000 R -0.053 F 0.052] [G loss: -0.051]  0:35:53.068081
5821 [D loss: -0.004 R -0.054 F 0.047] [G loss: -0.050]  0:35:53.514485
5822 [D loss: -0.019 R -0.062 F 0.024] [G loss: -0.046]  0:35:54.003113
5823 [D loss: -0.010 R -0.055 F 0.034] [G loss: -0.031]  0:35:54.440255
5824 [D loss: -0.001 R -0.043 F 0.040] [G loss: -0.031]  0:35:54.865546
5825 [D loss: -0.004 R -0.036 F 0.028] [G loss: -0.006]  0:35:55.327483
5826 [D loss: -0.030 R -0.061 F 0.001] [G loss: -0.000]  0:35:55.764368
5827 [D loss: -0.002 R -0.023 F 0.018] [G loss: -0.004]  0:35:56.223538
5828 [D loss: -0.033 R -0.060 F -0.006] [G loss: -0.006]  0:35:56.657465
5829 [D loss: -0.021 R -0.051 F 0.009] [G loss: -0.014]  0:35:57.115004
5830 [D loss: -0.012 R -0.027 F 0.002] [G loss: -0.014]  0:35:57.596143
5831 [D loss: -0.012 R -0.047 F 0.022] [G loss: -0.014]  0:35:58.055725
5832 [D loss: -0.017 R -0.040 F 0.006] [G loss: -0.018]  0:35:58.497084
5833 [D loss: -0.015 R -0.035 F 0.006] [G loss: -0.017]  0:35:58.947731
5834 [D loss: -0.013 R -0.037 F 0.010] [G loss: -0.010]  0:35:59.383468
5835 [D loss: -0.015 R -0.030 F -0.000] [G loss: -0.000]  0:35:59.843524
5836 [D loss: -0.016 R -0.035 F 0.003] [G loss: -0.005]  0:36:00.289749
5837 [D loss: 0.004 R -0.034 F 0.043] [G loss: -0.013]  0:36:00.727445
5838 [D loss: -0.011 R -0.049 F 0.027] [G loss: -0.013]  0:36:01.202816
5839 [D loss: 0.005 R -0.040 F 0.050] [G loss: -0.036]  0:36:01.658559
5840 [D loss: -0.006 R -0.055 F 0.043] [G loss: -0.045]  0:36:02.104414
5841 [D loss: -0.000 R -0.049 F 0.048] [G loss: -0.040]  0:36:02.563852
5842 [D loss: -0.005 R -0.046 F 0.036] [G loss: -0.048]  0:36:03.020666
5843 [D loss: -0.002 R -0.054 F 0.050] [G loss: -0.037]  0:36:03.475988
5844 [D loss: -0.013 R -0.063 F 0.036] [G loss: -0.028]  0:36:03.909709
5845 [D loss: 0.002 R -0.059 F 0.064] [G loss: -0.046]  0:36:04.383754
5846 [D loss: -0.003 R -0.067 F 0.061] [G loss: -0.042]  0:36:04.829675
5847 [D loss: -0.016 R -0.077 F 0.045] [G loss: -0.046]  0:36:05.289173
5848 [D loss: -0.008 R -0.076 F 0.059] [G loss: -0.077]  0:36:05.727476
5849 [D loss: -0.015 R -0.102 F 0.072] [G loss: -0.077]  0:36:06.175546
5850 [D loss: -0.009 R -0.086 F 0.068] [G loss: -0.080]  0:36:06.627988
5851 [D loss: -0.005 R -0.083 F 0.073] [G loss: -0.076]  0:36:07.069998
5852 [D loss: -0.008 R -0.072 F 0.055] [G loss: -0.057]  0:36:07.532877
5853 [D loss: -0.010 R -0.064 F 0.043] [G loss: -0.043]  0:36:08.027313
5854 [D loss: -0.006 R -0.046 F 0.034] [G loss: -0.013]  0:36:08.463940
5855 [D loss: -0.008 R -0.044 F 0.028] [G loss: -0.001]  0:36:08.940954
5856 [D loss: -0.011 R -0.023 F 0.002] [G loss: 0.007]  0:36:09.389660
5857 [D loss: -0.017 R -0.019 F -0.014] [G loss: 0.015]  0:36:09.835850
5858 [D loss: -0.022 R -0.010 F -0.033] [G loss: 0.029]  0:36:10.311749
5859 [D loss: -0.010 R -0.016 F -0.003] [G loss: 0.010]  0:36:10.759136
5860 [D loss: -0.005 R -0.002 F -0.007] [G loss: -0.003]  0:36:11.212832
5861 [D loss: -0.003 R -0.006 F 0.001] [G loss: -0.007]  0:36:11.654136
5862 [D loss: 0.003 R -0.006 F 0.012] [G loss: -0.023]  0:36:12.114725
5863 [D loss: 0.001 R -0.015 F 0.017] [G loss: -0.027]  0:36:12.550891
5864 [D loss: -0.009 R -0.037 F 0.018] [G loss: -0.017]  0:36:13.001524
5865 [D loss: -0.011 R -0.035 F 0.014] [G loss: 0.001]  0:36:13.429598
5866 [D loss: -0.003 R -0.030 F 0.024] [G loss: -0.006]  0:36:13.868460
5867 [D loss: -0.023 R -0.056 F 0.009] [G loss: -0.006]  0:36:14.296999
5868 [D loss: -0.036 R -0.080 F 0.007] [G loss: -0.037]  0:36:14.742613
5869 [D loss: -0.022 R -0.090 F 0.046] [G loss: -0.084]  0:36:15.198021
5870 [D loss: -0.012 R -0.074 F 0.050] [G loss: -0.104]  0:36:15.658314
5871 [D loss: -0.023 R -0.094 F 0.048] [G loss: -0.105]  0:36:16.088040
5872 [D loss: -0.021 R -0.094 F 0.053] [G loss: -0.095]  0:36:16.561423
5873 [D loss: -0.017 R -0.089 F 0.055] [G loss: -0.068]  0:36:17.002573
5874 [D loss: -0.022 R -0.081 F 0.036] [G loss: -0.028]  0:36:17.469386
5875 [D loss: -0.016 R -0.052 F 0.021] [G loss: -0.008]  0:36:17.904603
5876 [D loss: -0.006 R -0.042 F 0.031] [G loss: 0.014]  0:36:18.355753
5877 [D loss: -0.047 R -0.054 F -0.040] [G loss: 0.009]  0:36:18.804886
5878 [D loss: -0.045 R -0.055 F -0.034] [G loss: -0.014]  0:36:19.234205
5879 [D loss: -0.012 R 0.017 F -0.041] [G loss: -0.037]  0:36:19.650824
5880 [D loss: -0.023 R -0.016 F -0.031] [G loss: -0.038]  0:36:20.097990
5881 [D loss: -0.012 R -0.018 F -0.005] [G loss: -0.045]  0:36:20.533497
5882 [D loss: -0.008 R -0.022 F 0.005] [G loss: -0.034]  0:36:21.037064
5883 [D loss: -0.017 R -0.012 F -0.021] [G loss: -0.002]  0:36:21.485449
5884 [D loss: -0.019 R -0.020 F -0.018] [G loss: 0.022]  0:36:21.899650
5885 [D loss: -0.014 R -0.023 F -0.005] [G loss: 0.035]  0:36:22.358682
5886 [D loss: -0.035 R -0.051 F -0.019] [G loss: 0.027]  0:36:22.789765
5887 [D loss: -0.032 R -0.064 F -0.001] [G loss: 0.008]  0:36:23.232937
5888 [D loss: -0.043 R -0.085 F 0.000] [G loss: -0.022]  0:36:23.667272
5889 [D loss: -0.035 R -0.122 F 0.052] [G loss: -0.084]  0:36:24.137259
5890 [D loss: -0.035 R -0.153 F 0.082] [G loss: -0.148]  0:36:24.595815
5891 [D loss: -0.037 R -0.165 F 0.092] [G loss: -0.187]  0:36:25.033585
5892 [D loss: -0.005 R -0.164 F 0.154] [G loss: -0.240]  0:36:25.501302
5893 [D loss: 0.019 R -0.174 F 0.212] [G loss: -0.246]  0:36:25.955657
5894 [D loss: 0.003 R -0.186 F 0.192] [G loss: -0.246]  0:36:26.391968
5895 [D loss: 0.001 R -0.178 F 0.181] [G loss: -0.232]  0:36:26.838278
5896 [D loss: -0.001 R -0.166 F 0.163] [G loss: -0.178]  0:36:27.287023
5897 [D loss: -0.013 R -0.159 F 0.133] [G loss: -0.137]  0:36:27.739327
5898 [D loss: -0.026 R -0.148 F 0.095] [G loss: -0.112]  0:36:28.199338
5899 [D loss: -0.035 R -0.130 F 0.060] [G loss: -0.106]  0:36:28.626793
5900 [D loss: -0.031 R -0.110 F 0.048] [G loss: -0.075]  0:36:29.060191
5901 [D loss: -0.062 R -0.129 F 0.006] [G loss: -0.083]  0:36:29.509208
5902 [D loss: -0.037 R -0.102 F 0.029] [G loss: -0.094]  0:36:29.961139
5903 [D loss: -0.036 R -0.087 F 0.014] [G loss: -0.124]  0:36:30.436990
5904 [D loss: -0.041 R -0.090 F 0.007] [G loss: -0.113]  0:36:30.877067
5905 [D loss: -0.027 R -0.079 F 0.026] [G loss: -0.095]  0:36:31.325813
5906 [D loss: -0.015 R -0.048 F 0.018] [G loss: -0.054]  0:36:31.779106
5907 [D loss: -0.012 R -0.035 F 0.010] [G loss: 0.008]  0:36:32.245323
5908 [D loss: -0.042 R -0.029 F -0.055] [G loss: 0.037]  0:36:32.706404
5909 [D loss: -0.044 R -0.022 F -0.065] [G loss: 0.087]  0:36:33.137581
5910 [D loss: -0.048 R 0.012 F -0.107] [G loss: 0.138]  0:36:33.591792
5911 [D loss: -0.071 R 0.014 F -0.155] [G loss: 0.118]  0:36:34.034747
5912 [D loss: -0.064 R 0.036 F -0.165] [G loss: 0.120]  0:36:34.480616
5913 [D loss: -0.055 R 0.024 F -0.134] [G loss: 0.110]  0:36:34.982727
5914 [D loss: -0.051 R 0.032 F -0.134] [G loss: 0.108]  0:36:35.417784
5915 [D loss: -0.044 R 0.042 F -0.130] [G loss: 0.061]  0:36:36.151670
5916 [D loss: -0.057 R 0.036 F -0.151] [G loss: 0.016]  0:36:36.594312
5917 [D loss: -0.039 R 0.030 F -0.108] [G loss: -0.024]  0:36:37.060645
5918 [D loss: -0.043 R 0.011 F -0.098] [G loss: -0.055]  0:36:37.507602
5919 [D loss: -0.004 R 0.042 F -0.049] [G loss: -0.046]  0:36:37.937320
5920 [D loss: -0.000 R 0.037 F -0.037] [G loss: -0.025]  0:36:38.401628
5921 [D loss: -0.021 R -0.018 F -0.024] [G loss: -0.007]  0:36:38.849918
5922 [D loss: -0.029 R -0.020 F -0.038] [G loss: 0.023]  0:36:39.299454
5923 [D loss: -0.034 R -0.030 F -0.038] [G loss: 0.020]  0:36:39.750895
5924 [D loss: -0.052 R -0.085 F -0.018] [G loss: 0.021]  0:36:40.197519
5925 [D loss: -0.038 R -0.065 F -0.011] [G loss: 0.016]  0:36:40.671809
5926 [D loss: -0.024 R -0.067 F 0.018] [G loss: -0.025]  0:36:41.116464
5927 [D loss: -0.021 R -0.091 F 0.049] [G loss: -0.025]  0:36:41.573411
5928 [D loss: -0.043 R -0.120 F 0.034] [G loss: -0.076]  0:36:42.016527
5929 [D loss: -0.031 R -0.109 F 0.047] [G loss: -0.131]  0:36:42.523702
5930 [D loss: 0.006 R -0.088 F 0.099] [G loss: -0.196]  0:36:42.952898
5931 [D loss: -0.059 R -0.168 F 0.050] [G loss: -0.257]  0:36:43.400462
5932 [D loss: -0.038 R -0.146 F 0.069] [G loss: -0.292]  0:36:43.836114
5933 [D loss: 0.003 R -0.116 F 0.122] [G loss: -0.287]  0:36:44.295580
5934 [D loss: -0.017 R -0.175 F 0.140] [G loss: -0.235]  0:36:44.744646
5935 [D loss: -0.034 R -0.147 F 0.080] [G loss: -0.150]  0:36:45.180880
5936 [D loss: -0.040 R -0.125 F 0.045] [G loss: -0.070]  0:36:45.642336
5937 [D loss: -0.090 R -0.188 F 0.008] [G loss: -0.041]  0:36:46.081701
5938 [D loss: -0.057 R -0.179 F 0.064] [G loss: -0.082]  0:36:46.553271
5939 [D loss: -0.083 R -0.214 F 0.049] [G loss: -0.181]  0:36:47.007070
5940 [D loss: -0.059 R -0.242 F 0.123] [G loss: -0.221]  0:36:47.478299
5941 [D loss: -0.019 R -0.264 F 0.225] [G loss: -0.296]  0:36:47.931214
5942 [D loss: -0.049 R -0.297 F 0.199] [G loss: -0.311]  0:36:48.367315
5943 [D loss: -0.031 R -0.255 F 0.194] [G loss: -0.280]  0:36:48.821607
5944 [D loss: -0.029 R -0.258 F 0.200] [G loss: -0.251]  0:36:49.276097
5945 [D loss: -0.064 R -0.266 F 0.137] [G loss: -0.182]  0:36:49.742708
5946 [D loss: -0.048 R -0.243 F 0.147] [G loss: -0.095]  0:36:50.192607
5947 [D loss: -0.069 R -0.209 F 0.071] [G loss: -0.070]  0:36:50.634604
5948 [D loss: -0.042 R -0.114 F 0.031] [G loss: 0.007]  0:36:51.069122
5949 [D loss: -0.019 R -0.024 F -0.014] [G loss: 0.054]  0:36:51.508822
5950 [D loss: -0.039 R 0.027 F -0.104] [G loss: 0.156]  0:36:51.959799
5951 [D loss: -0.052 R 0.092 F -0.196] [G loss: 0.219]  0:36:52.422002
5952 [D loss: -0.053 R 0.194 F -0.299] [G loss: 0.293]  0:36:52.856534
5953 [D loss: -0.051 R 0.251 F -0.353] [G loss: 0.313]  0:36:53.311140
5954 [D loss: -0.077 R 0.284 F -0.437] [G loss: 0.300]  0:36:53.751065
5955 [D loss: -0.070 R 0.305 F -0.445] [G loss: 0.305]  0:36:54.197525
5956 [D loss: -0.091 R 0.324 F -0.506] [G loss: 0.286]  0:36:54.640371
5957 [D loss: -0.049 R 0.316 F -0.414] [G loss: 0.269]  0:36:55.076842
5958 [D loss: -0.105 R 0.243 F -0.453] [G loss: 0.206]  0:36:55.527239
5959 [D loss: -0.027 R 0.301 F -0.355] [G loss: 0.219]  0:36:55.980458
5960 [D loss: 0.001 R 0.300 F -0.297] [G loss: 0.214]  0:36:56.422040
5961 [D loss: -0.002 R 0.259 F -0.263] [G loss: 0.221]  0:36:56.865735
5962 [D loss: 0.000 R 0.236 F -0.236] [G loss: 0.238]  0:36:57.292609
5963 [D loss: -0.024 R 0.186 F -0.234] [G loss: 0.248]  0:36:57.757417
5964 [D loss: -0.049 R 0.134 F -0.233] [G loss: 0.252]  0:36:58.208831
5965 [D loss: -0.056 R 0.122 F -0.233] [G loss: 0.250]  0:36:58.663392
5966 [D loss: -0.096 R 0.054 F -0.247] [G loss: 0.220]  0:36:59.101332
5967 [D loss: -0.072 R 0.044 F -0.189] [G loss: 0.179]  0:36:59.560650
5968 [D loss: -0.064 R 0.034 F -0.162] [G loss: 0.112]  0:36:59.987615
5969 [D loss: -0.035 R 0.017 F -0.088] [G loss: 0.025]  0:37:00.441406
5970 [D loss: -0.031 R -0.030 F -0.032] [G loss: -0.066]  0:37:00.889232
5971 [D loss: -0.019 R -0.078 F 0.040] [G loss: -0.112]  0:37:01.328849
5972 [D loss: 0.006 R -0.090 F 0.102] [G loss: -0.158]  0:37:01.778147
5973 [D loss: 0.002 R -0.122 F 0.127] [G loss: -0.177]  0:37:02.210451
5974 [D loss: 0.000 R -0.159 F 0.160] [G loss: -0.194]  0:37:02.651402
5975 [D loss: 0.002 R -0.177 F 0.181] [G loss: -0.196]  0:37:03.090840
5976 [D loss: 0.005 R -0.186 F 0.196] [G loss: -0.204]  0:37:03.528700
5977 [D loss: 0.013 R -0.166 F 0.191] [G loss: -0.197]  0:37:03.980886
5978 [D loss: 0.003 R -0.182 F 0.188] [G loss: -0.187]  0:37:04.420176
5979 [D loss: 0.003 R -0.184 F 0.190] [G loss: -0.179]  0:37:04.874607
5980 [D loss: -0.001 R -0.186 F 0.183] [G loss: -0.173]  0:37:05.326372
5981 [D loss: 0.008 R -0.169 F 0.184] [G loss: -0.169]  0:37:05.774799
5982 [D loss: 0.004 R -0.171 F 0.179] [G loss: -0.163]  0:37:06.229492
5983 [D loss: -0.001 R -0.168 F 0.166] [G loss: -0.155]  0:37:06.727585
5984 [D loss: 0.002 R -0.159 F 0.163] [G loss: -0.142]  0:37:07.156783
5985 [D loss: 0.000 R -0.153 F 0.153] [G loss: -0.137]  0:37:07.614257
5986 [D loss: 0.001 R -0.142 F 0.144] [G loss: -0.125]  0:37:08.083273
5987 [D loss: -0.001 R -0.133 F 0.130] [G loss: -0.110]  0:37:08.539062
5988 [D loss: 0.001 R -0.121 F 0.122] [G loss: -0.096]  0:37:08.998422
5989 [D loss: 0.001 R -0.108 F 0.110] [G loss: -0.079]  0:37:09.455853
5990 [D loss: 0.000 R -0.096 F 0.096] [G loss: -0.080]  0:37:09.908786
5991 [D loss: -0.001 R -0.076 F 0.073] [G loss: -0.072]  0:37:10.357300
5992 [D loss: 0.003 R -0.070 F 0.075] [G loss: -0.070]  0:37:10.817291
5993 [D loss: 0.011 R -0.052 F 0.073] [G loss: -0.064]  0:37:11.234929
5994 [D loss: 0.008 R -0.047 F 0.062] [G loss: -0.053]  0:37:11.681495
5995 [D loss: 0.010 R -0.040 F 0.059] [G loss: -0.047]  0:37:12.128639
5996 [D loss: 0.018 R 0.000 F 0.036] [G loss: -0.031]  0:37:12.555995
5997 [D loss: 0.020 R 0.014 F 0.025] [G loss: -0.015]  0:37:12.987654
5998 [D loss: 0.010 R 0.010 F 0.010] [G loss: 0.000]  0:37:13.423881
5999 [D loss: 0.009 R 0.016 F 0.002] [G loss: 0.018]  0:37:13.895921
6000 [D loss: -0.000 R 0.011 F -0.012] [G loss: 0.032]  0:37:14.338312
In [33]:
# Display the graph of losses in training
%matplotlib inline

gan_work.showLoss([