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suppress tf2 info printing

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This commit is contained in:
Jackie Loong
2019-10-22 18:17:51 +11:00
parent 51d9a439a9
commit ae093e0405
21 changed files with 63 additions and 32 deletions
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5
01-TF2.0-Overview/conv_train.py
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@@ -1,12 +1,15 @@
import os
import time
import numpy as np
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' # or any {'0', '1', '2'}
import tensorflow as tf
from tensorflow.python.ops import summary_ops_v2
from tensorflow import keras
from tensorflow.keras import datasets, layers, models, optimizers, metrics
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' # or any {'0', '1', '2'}
model = tf.keras.Sequential([

5
深度学习与TensorFlow入门实战-源码和PPT/lesson02-开发环境准备/test.py
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@@ -1,8 +1,9 @@
import tensorflow as tf
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf
a = tf.constant(1.)
b = tf.constant(2.)
print(a+b)

3
深度学习与TensorFlow入门实战-源码和PPT/lesson06-手写数字识别初体验/main.py
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@@ -1,10 +1,11 @@
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers, optimizers, datasets
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
(x, y), (x_val, y_val) = datasets.mnist.load_data()
x = tf.convert_to_tensor(x, dtype=tf.float32) / 255.

3
深度学习与TensorFlow入门实战-源码和PPT/lesson31-Keras模型保存与加载/save_load_model.py
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@@ -1,3 +1,6 @@
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf
from tensorflow.keras import datasets, layers, optimizers, Sequential, metrics

3
深度学习与TensorFlow入门实战-源码和PPT/lesson31-Keras模型保存与加载/save_load_weight.py
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@@ -1,3 +1,6 @@
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf
from tensorflow.keras import datasets, layers, optimizers, Sequential, metrics

5
深度学习与TensorFlow入门实战-源码和PPT/lesson32-Keras实战/keras_train.py
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@@ -1,9 +1,10 @@
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf
from tensorflow.keras import datasets, layers, optimizers, Sequential, metrics
from tensorflow import keras
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
def preprocess(x, y):

3
深度学习与TensorFlow入门实战-源码和PPT/lesson37-Early Stopping, Dropout/dropout.py
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@@ -1,3 +1,6 @@
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf
from tensorflow.keras import datasets, layers, optimizers, Sequential, metrics

5
深度学习与TensorFlow入门实战-源码和PPT/lesson40-CIFAR与VGG实战/cifar100_train.py
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@@ -1,8 +1,9 @@
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf
from tensorflow.keras import layers, optimizers, datasets, Sequential
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
tf.random.set_seed(2345)
conv_layers = [ # 5 units of conv + max pooling

9
深度学习与TensorFlow入门实战-源码和PPT/lesson43-ResNet/resnet18_train.py
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@@ -1,9 +1,10 @@
import tensorflow as tf
from tensorflow.keras import layers, optimizers, datasets, Sequential
import os
from resnet import resnet18
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf
from tensorflow.keras import layers, optimizers, datasets, Sequential
from resnet import resnet18
tf.random.set_seed(2345)

5
深度学习与TensorFlow入门实战-源码和PPT/lesson45-RNN实战/sentiment_analysis_cell.py
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@@ -1,4 +1,6 @@
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf
import numpy as np
from tensorflow import keras
@@ -6,8 +8,7 @@ from tensorflow.keras import layers
tf.random.set_seed(22)
np.random.seed(22)
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
np.random.seed(22)
assert tf.__version__.startswith('2.')
batchsz = 128

5
深度学习与TensorFlow入门实战-源码和PPT/lesson45-RNN实战/sentiment_analysis_layer.py
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@@ -1,4 +1,6 @@
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf
import numpy as np
from tensorflow import keras
@@ -6,8 +8,7 @@ from tensorflow.keras import layers
tf.random.set_seed(22)
np.random.seed(22)
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
np.random.seed(22)
assert tf.__version__.startswith('2.')
batchsz = 128

5
深度学习与TensorFlow入门实战-源码和PPT/lesson47-LSTM实战/gru_sentiment_analysis_cell.py
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@@ -1,4 +1,6 @@
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf
import numpy as np
from tensorflow import keras
@@ -6,8 +8,7 @@ from tensorflow.keras import layers
tf.random.set_seed(22)
np.random.seed(22)
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
np.random.seed(22)
assert tf.__version__.startswith('2.')
batchsz = 128

5
深度学习与TensorFlow入门实战-源码和PPT/lesson47-LSTM实战/gru_sentiment_analysis_layer.py
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@@ -1,4 +1,6 @@
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf
import numpy as np
from tensorflow import keras
@@ -6,8 +8,7 @@ from tensorflow.keras import layers
tf.random.set_seed(22)
np.random.seed(22)
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
np.random.seed(22)
assert tf.__version__.startswith('2.')
batchsz = 128

5
深度学习与TensorFlow入门实战-源码和PPT/lesson47-LSTM实战/lstm_sentiment_analysis_cell.py
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@@ -1,4 +1,6 @@
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf
import numpy as np
from tensorflow import keras
@@ -6,8 +8,7 @@ from tensorflow.keras import layers
tf.random.set_seed(22)
np.random.seed(22)
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
np.random.seed(22)
assert tf.__version__.startswith('2.')
batchsz = 128

5
深度学习与TensorFlow入门实战-源码和PPT/lesson47-LSTM实战/lstm_sentiment_analysis_layer.py
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@@ -1,4 +1,6 @@
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf
import numpy as np
from tensorflow import keras
@@ -6,8 +8,7 @@ from tensorflow.keras import layers
tf.random.set_seed(22)
np.random.seed(22)
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
np.random.seed(22)
assert tf.__version__.startswith('2.')
batchsz = 128

5
深度学习与TensorFlow入门实战-源码和PPT/lesson49-VAE实战/autoencoder.py
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@@ -1,4 +1,6 @@
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf
import numpy as np
from tensorflow import keras
@@ -9,8 +11,7 @@ from matplotlib import pyplot as plt
tf.random.set_seed(22)
np.random.seed(22)
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
np.random.seed(22)
assert tf.__version__.startswith('2.')

5
深度学习与TensorFlow入门实战-源码和PPT/lesson49-VAE实战/vae.py
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@@ -1,4 +1,6 @@
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf
import numpy as np
from tensorflow import keras
@@ -9,8 +11,7 @@ from matplotlib import pyplot as plt
tf.random.set_seed(22)
np.random.seed(22)
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
np.random.seed(22)
assert tf.__version__.startswith('2.')

2
深度学习与TensorFlow入门实战-源码和PPT/lesson51-WGAN实战/gan_train.py
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@@ -1,4 +1,6 @@
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import numpy as np
import tensorflow as tf
from tensorflow import keras

2
深度学习与TensorFlow入门实战-源码和PPT/lesson51-WGAN实战/wgan_train.py
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@@ -1,4 +1,6 @@
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import numpy as np
import tensorflow as tf
from tensorflow import keras

5
深度学习与TensorFlow入门实战-源码和PPT/lesson52-自定义数据集和迁移学习/train_scratch.py
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@@ -1,4 +1,6 @@
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf
import numpy as np
from tensorflow import keras
@@ -6,8 +8,7 @@ from tensorflow.keras import layers,optimizers,losses
from tensorflow.keras.callbacks import EarlyStopping
tf.random.set_seed(22)
np.random.seed(22)
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
np.random.seed(22)
assert tf.__version__.startswith('2.')
# 设置GPU显存按需分配
gpus = tf.config.experimental.list_physical_devices('GPU')

5
深度学习与TensorFlow入门实战-源码和PPT/lesson52-自定义数据集和迁移学习/train_transfer.py
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@@ -1,4 +1,6 @@
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf
import numpy as np
from tensorflow import keras
@@ -14,8 +16,7 @@ from tensorflow.keras import layers,optimizers,losses
from tensorflow.keras.callbacks import EarlyStopping
tf.random.set_seed(22)
np.random.seed(22)
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
np.random.seed(22)
assert tf.__version__.startswith('2.')