suppress tf2 info printing

luopub · Oct 22, 2019 · ae093e0 · ae093e0
1 parent 51d9a43
commit ae093e0
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Showing 21 changed files with 63 additions and 32 deletions.
diff --git a/01-TF2.0-Overview/conv_train.py b/01-TF2.0-Overview/conv_train.py
@@ -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([

diff --git a/深度学习与TensorFlow入门实战-源码和PPT/lesson02-开发环境准备/test.py b/深度学习与TensorFlow入门实战-源码和PPT/lesson02-开发环境准备/test.py
@@ -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)

diff --git a/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 b/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
@@ -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.

diff --git a/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 b/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
@@ -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
 

diff --git a/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 b/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
@@ -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
 

diff --git a/深度学习与TensorFlow入门实战-源码和PPT/lesson32-Keras实战/keras_train.py b/深度学习与TensorFlow入门实战-源码和PPT/lesson32-Keras实战/keras_train.py
@@ -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):

diff --git a/深度学习与TensorFlow入门实战-源码和PPT/lesson37-Early Stopping, Dropout/dropout.py b/深度学习与TensorFlow入门实战-源码和PPT/lesson37-Early Stopping, Dropout/dropout.py
@@ -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
 

diff --git a/深度学习与TensorFlow入门实战-源码和PPT/lesson40-CIFAR与VGG实战/cifar100_train.py b/深度学习与TensorFlow入门实战-源码和PPT/lesson40-CIFAR与VGG实战/cifar100_train.py
@@ -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

diff --git a/深度学习与TensorFlow入门实战-源码和PPT/lesson43-ResNet/resnet18_train.py b/深度学习与TensorFlow入门实战-源码和PPT/lesson43-ResNet/resnet18_train.py
@@ -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)
 
 

diff --git a/深度学习与TensorFlow入门实战-源码和PPT/lesson45-RNN实战/sentiment_analysis_cell.py b/深度学习与TensorFlow入门实战-源码和PPT/lesson45-RNN实战/sentiment_analysis_cell.py
@@ -1,13 +1,14 @@
 import  os
+os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
+
 import  tensorflow as tf
 import  numpy as np
 from    tensorflow import keras
 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

diff --git a/深度学习与TensorFlow入门实战-源码和PPT/lesson45-RNN实战/sentiment_analysis_layer.py b/深度学习与TensorFlow入门实战-源码和PPT/lesson45-RNN实战/sentiment_analysis_layer.py
@@ -1,13 +1,14 @@
 import  os
+os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
+
 import  tensorflow as tf
 import  numpy as np
 from    tensorflow import keras
 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

diff --git a/深度学习与TensorFlow入门实战-源码和PPT/lesson47-LSTM实战/gru_sentiment_analysis_cell.py b/深度学习与TensorFlow入门实战-源码和PPT/lesson47-LSTM实战/gru_sentiment_analysis_cell.py
@@ -1,13 +1,14 @@
 import  os
+os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
+
 import  tensorflow as tf
 import  numpy as np
 from    tensorflow import keras
 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

diff --git a/深度学习与TensorFlow入门实战-源码和PPT/lesson47-LSTM实战/gru_sentiment_analysis_layer.py b/深度学习与TensorFlow入门实战-源码和PPT/lesson47-LSTM实战/gru_sentiment_analysis_layer.py
@@ -1,13 +1,14 @@
 import  os
+os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
+
 import  tensorflow as tf
 import  numpy as np
 from    tensorflow import keras
 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

diff --git a/深度学习与TensorFlow入门实战-源码和PPT/lesson47-LSTM实战/lstm_sentiment_analysis_cell.py b/深度学习与TensorFlow入门实战-源码和PPT/lesson47-LSTM实战/lstm_sentiment_analysis_cell.py
@@ -1,13 +1,14 @@
 import  os
+os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
+
 import  tensorflow as tf
 import  numpy as np
 from    tensorflow import keras
 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

diff --git a/深度学习与TensorFlow入门实战-源码和PPT/lesson47-LSTM实战/lstm_sentiment_analysis_layer.py b/深度学习与TensorFlow入门实战-源码和PPT/lesson47-LSTM实战/lstm_sentiment_analysis_layer.py
@@ -1,13 +1,14 @@
 import  os
+os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
+
 import  tensorflow as tf
 import  numpy as np
 from    tensorflow import keras
 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

diff --git a/深度学习与TensorFlow入门实战-源码和PPT/lesson49-VAE实战/autoencoder.py b/深度学习与TensorFlow入门实战-源码和PPT/lesson49-VAE实战/autoencoder.py
@@ -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 @@
 
 
 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.')
 
 

diff --git a/深度学习与TensorFlow入门实战-源码和PPT/lesson49-VAE实战/vae.py b/深度学习与TensorFlow入门实战-源码和PPT/lesson49-VAE实战/vae.py
@@ -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 @@
 
 
 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.')
 
 

diff --git a/深度学习与TensorFlow入门实战-源码和PPT/lesson51-WGAN实战/gan_train.py b/深度学习与TensorFlow入门实战-源码和PPT/lesson51-WGAN实战/gan_train.py
@@ -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

diff --git a/深度学习与TensorFlow入门实战-源码和PPT/lesson51-WGAN实战/wgan_train.py b/深度学习与TensorFlow入门实战-源码和PPT/lesson51-WGAN实战/wgan_train.py
@@ -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

diff --git a/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 b/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
@@ -1,13 +1,14 @@
 import  os
+os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
+
 import  tensorflow as tf
 import  numpy as np
 from    tensorflow import keras
 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') 

diff --git a/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 b/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
@@ -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.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.')