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
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
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。
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()
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()
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]:
In [20]:
BATCH_SIZE = 128
N_CRITIC = 5
CLIP_THRESHOLD = 0.01
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
In [25]:
# Display the graph of losses in training
%matplotlib inline
gan.showLoss([],[-1,1])
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
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 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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 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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 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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: 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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: 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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: 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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 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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([],[-1,1])
In [45]:
# prepare the noise vectors
# ノイズ・ベクトルを用意する。
rows, cols = 2, 10
noise = np.random.normal(0, 1, (rows * cols, gan_work.z_dim))
In [46]:
! ls -lR {save_path1}
/content/drive/MyDrive/ColabRun/WGAN_CIFAR01: total 846 -rw------- 1 root root 43469 Nov 23 06:53 params_1000.pkl -rw------- 1 root root 4294 Nov 23 06:46 params_100.pkl -rw------- 1 root root 604 Nov 23 06:46 params_10.pkl -rw------- 1 root root 87473 Nov 23 07:01 params_2000.pkl -rw------- 1 root root 317 Nov 23 06:46 params_3.pkl -rw------- 1 root root 175481 Nov 23 07:15 params_4000.pkl -rw------- 1 root root 21469 Nov 23 06:49 params_500.pkl -rw------- 1 root root 263489 Nov 23 07:30 params_6000.pkl -rw------- 1 root root 263489 Nov 23 07:30 params.pkl drwx------ 2 root root 4096 Nov 23 07:30 weights /content/drive/MyDrive/ColabRun/WGAN_CIFAR01/weights: total 110268 -rw------- 1 root root 2708296 Nov 23 06:53 critic-weights_1000.h5 -rw------- 1 root root 2708296 Nov 23 06:46 critic-weights_100.h5 -rw------- 1 root root 2708256 Nov 23 06:46 critic-weights_10.h5 -rw------- 1 root root 2708296 Nov 23 07:01 critic-weights_2000.h5 -rw------- 1 root root 2708256 Nov 23 06:46 critic-weights_3.h5 -rw------- 1 root root 2708296 Nov 23 07:15 critic-weights_4000.h5 -rw------- 1 root root 2708296 Nov 23 06:49 critic-weights_500.h5 -rw------- 1 root root 2708296 Nov 23 07:30 critic-weights_6000.h5 -rw------- 1 root root 2708296 Nov 23 07:30 critic-weights.h5 -rw------- 1 root root 3582272 Nov 23 06:53 generator-weights_1000.h5 -rw------- 1 root root 3582272 Nov 23 06:46 generator-weights_100.h5 -rw------- 1 root root 3582232 Nov 23 06:46 generator-weights_10.h5 -rw------- 1 root root 3582272 Nov 23 07:01 generator-weights_2000.h5 -rw------- 1 root root 3582232 Nov 23 06:46 generator-weights_3.h5 -rw------- 1 root root 3582272 Nov 23 07:15 generator-weights_4000.h5 -rw------- 1 root root 3582272 Nov 23 06:49 generator-weights_500.h5 -rw------- 1 root root 3582272 Nov 23 07:30 generator-weights_6000.h5 -rw------- 1 root root 3582272 Nov 23 07:30 generator-weights.h5 -rw------- 1 root root 6255048 Nov 23 06:53 weights_1000.h5 -rw------- 1 root root 6255048 Nov 23 06:46 weights_100.h5 -rw------- 1 root root 6255048 Nov 23 06:46 weights_10.h5 -rw------- 1 root root 6255048 Nov 23 07:01 weights_2000.h5 -rw------- 1 root root 6255048 Nov 23 06:46 weights_3.h5 -rw------- 1 root root 6255048 Nov 23 07:15 weights_4000.h5 -rw------- 1 root root 6255048 Nov 23 06:49 weights_500.h5 -rw------- 1 root root 6255048 Nov 23 07:30 weights_6000.h5 -rw------- 1 root root 6255048 Nov 23 07:30 weights.h5
In [47]:
%matplotlib inline
for i in [3, 10, 100, 500, 1000, 2000, 4000, 6000]:
gan = WGAN.load(save_path1, i)
imgs = gan.generate_images(noise).squeeze()
print(f'epoch {i}')
WGAN.showImages(imgs, rows, cols, 1.4, 1.4)
epoch 3
epoch 10
epoch 100
epoch 500
epoch 1000
epoch 2000
epoch 4000
epoch 6000
In [37]:
def compare_images(img1, img2):
return np.mean(np.abs(img1 - img2))
In [38]:
def most_similar(target, imgs):
idx = -1
d_min = 99999
for i, img in enumerate(imgs):
if i == 0:
idx = 0
d_min = compare_images(target, img)
else:
d = compare_images(target, img)
if d < d_min:
idx = i
d_min = d
return imgs[idx]
In [39]:
# load the most trained model.
# 最も学習が進んだモデルをロードする。
gan = WGAN.load(save_path1)
In [40]:
n_to_show = 10
# prepare noise vectors
# ノイズ・ベクトルを用意する
noise = np.random.normal(0, 1, (n_to_show, gan.z_dim)) # mean:0, scale=1 --> [-1, 1]
# Generate images from noise vectors.
# ノイズベクトルから画像を生成する
gen_imgs = gan_work.generate_images(noise)
In [41]:
# The value range of the x_train is [-1, 1]. It needs to be changed to [0, 1] to compare with images.
# x_train のデータは値の範囲が [-1, 1] になっている。画像と比較するには [0, 1] に変更する必要がある。
x_train_img = (x_train + 1) /2
x_train_img = np.clip(x_train_img, 0, 1)
In [42]:
# Select the most similar image of x_train to each image generated.
# 生成した各画像に最も似ている x_train の画像を選ぶ
similar_imgs = []
for gen in gen_imgs:
ori = most_similar(gen, x_train_img)
similar_imgs.append(ori)
In [43]:
# Display the pairs of generated image and original image.
# 生成画像と、似ている原画像のペアを表示する。
%matplotlib inline
import matplotlib.pyplot as plt
fig, ax = plt.subplots(2, n_to_show, figsize=(2.8 * n_to_show, 2.8 * 2))
for i in range(n_to_show):
ax[0][i].imshow(gen_imgs[i])
ax[0][i].axis('off')
ax[1][i].imshow(similar_imgs[i])
ax[1][i].axis('off')
plt.show()
In [43]: