Set the logging to the DEBUG level in all tutorials. (#697)

zsdonghao · luomai · commit ffd7341ba2ce · 2018-06-13T23:47:51.000+08:00
* add logging debug to all tutorials

* update changelong

* add space suggested by milo
diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -112,6 +112,12 @@ To release a new version, please update the changelog as followed:
   - `test_activations.py` added
 - Tutorials:
   - `tutorial_tfslim` has been introduced to show how to use `SlimNetsLayer` 
+  - add the following to all tutorials:
+  
+```python
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+```
 
 ### Changed
 - Tensorflow CPU & GPU dependencies moved to separated requirement files in order to allow PyUP.io to parse them 
diff --git a/example/tutorial_atari_pong.py b/example/tutorial_atari_pong.py
@@ -21,14 +21,15 @@
 """
 
 import time
-
+import gym
 import numpy as np
 import tensorflow as tf
-
-import gym
 import tensorlayer as tl
 from tensorlayer.layers import DenseLayer, InputLayer
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 # hyper-parameters
 image_size = 80
 D = image_size * image_size
diff --git a/example/tutorial_binarynet_cifar10_tfrecord.py b/example/tutorial_binarynet_cifar10_tfrecord.py
@@ -41,11 +41,12 @@
 
 import os
 import time
-
 import tensorflow as tf
-
 import tensorlayer as tl
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 model_file_name = "./model_cifar10_tfrecord.ckpt"
 resume = False  # load model, resume from previous checkpoint?
 
diff --git a/example/tutorial_binarynet_mnist_cnn.py b/example/tutorial_binarynet_mnist_cnn.py
@@ -5,6 +5,9 @@
 import tensorflow as tf
 import tensorlayer as tl
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 X_train, y_train, X_val, y_val, X_test, y_test = tl.files.load_mnist_dataset(shape=(-1, 28, 28, 1))
 # X_train, y_train, X_test, y_test = tl.files.load_cropped_svhn(include_extra=False)
 
diff --git a/example/tutorial_bipedalwalker_a3c_continuous_action.py b/example/tutorial_bipedalwalker_a3c_continuous_action.py
@@ -33,14 +33,15 @@
 
 import multiprocessing
 import threading
-
 import numpy as np
 import tensorflow as tf
-
 import gym
 import tensorlayer as tl
 from tensorlayer.layers import DenseLayer, InputLayer
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 GAME = 'BipedalWalker-v2'  # BipedalWalkerHardcore-v2
 OUTPUT_GRAPH = False
 LOG_DIR = './log'
diff --git a/example/tutorial_cartpole_ac.py b/example/tutorial_cartpole_ac.py
@@ -33,14 +33,15 @@
 """
 
 import time
-
 import numpy as np
 import tensorflow as tf
-
 import gym
 import tensorlayer as tl
 from tensorlayer.layers import DenseLayer, InputLayer
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 np.random.seed(2)
 tf.set_random_seed(2)  # reproducible
 
diff --git a/example/tutorial_cifar10.py b/example/tutorial_cifar10.py
@@ -7,6 +7,9 @@
 import tensorlayer as tl
 from tensorlayer.layers import *
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 sess = tf.InteractiveSession()
 
 X_train, y_train, X_test, y_test = tl.files.load_cifar10_dataset(shape=(-1, 32, 32, 3), plotable=False)
diff --git a/example/tutorial_cifar10_tfrecord.py b/example/tutorial_cifar10_tfrecord.py
@@ -41,12 +41,13 @@
 
 import os
 import time
-
 import tensorflow as tf
-
 import tensorlayer as tl
 from tensorlayer.layers import *
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 model_file_name = "./model_cifar10_tfrecord.ckpt"
 resume = False  # load model, resume from previous checkpoint?
 
diff --git a/example/tutorial_dorefanet_cifar10_tfrecord.py b/example/tutorial_dorefanet_cifar10_tfrecord.py
@@ -41,11 +41,12 @@
 
 import os
 import time
-
 import tensorflow as tf
-
 import tensorlayer as tl
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 model_file_name = "./model_cifar10_tfrecord.ckpt"
 resume = False  # load model, resume from previous checkpoint?
 
diff --git a/example/tutorial_dorefanet_mnist_cnn.py b/example/tutorial_dorefanet_mnist_cnn.py
@@ -5,6 +5,9 @@
 import tensorflow as tf
 import tensorlayer as tl
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 X_train, y_train, X_val, y_val, X_test, y_test = tl.files.load_mnist_dataset(shape=(-1, 28, 28, 1))
 # X_train, y_train, X_test, y_test = tl.files.load_cropped_svhn(include_extra=False)
 
diff --git a/example/tutorial_frozenlake_dqn.py b/example/tutorial_frozenlake_dqn.py
@@ -29,11 +29,13 @@
 import time
 import gym
 import numpy as np
-
 import tensorflow as tf
 import tensorlayer as tl
 from tensorlayer.layers import *
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 env = gym.make('FrozenLake-v0')
 
 
diff --git a/example/tutorial_generate_text.py b/example/tutorial_generate_text.py
@@ -30,6 +30,9 @@
 import tensorlayer as tl
 from tensorlayer.layers import *
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 # # _UNK = "_UNK"
 
 
diff --git a/example/tutorial_image_preprocess.py b/example/tutorial_image_preprocess.py
@@ -8,6 +8,8 @@
 import time
 import tensorlayer as tl
 
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 X_train, y_train, X_test, y_test = tl.files.load_cifar10_dataset(shape=(-1, 32, 32, 3), plotable=False)
 
 
diff --git a/example/tutorial_imagenet_inceptionV3_distributed.py b/example/tutorial_imagenet_inceptionV3_distributed.py
@@ -26,9 +26,11 @@
 from tensorflow.python.training import session_run_hook
 from tensorflow.python.training.basic_session_run_hooks import StopAtStepHook
 from tensorflow.python.training.monitored_session import SingularMonitoredSession
-
 import tensorlayer as tl
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 ########## VARIABLES ##########
 
 # get the dataset: https://www.kaggle.com/c/imagenet-object-localization-challenge/data
diff --git a/example/tutorial_imdb_fasttext.py b/example/tutorial_imdb_fasttext.py
@@ -28,13 +28,14 @@
 import array
 import hashlib
 import time
-
 import numpy as np
 import tensorflow as tf
-
 import tensorlayer as tl
 from tensorlayer.layers import *
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 # Hashed n-grams with 1 < n <= N_GRAM are included as features
 # in addition to unigrams.
 N_GRAM = 2
diff --git a/example/tutorial_inceptionV3_tfslim.py b/example/tutorial_inceptionV3_tfslim.py
@@ -33,9 +33,11 @@
 # from scipy.misc import imread, imresize
 # from tensorflow.contrib.slim.python.slim.nets.alexnet import alexnet_v2
 from tensorflow.contrib.slim.python.slim.nets.inception_v3 import (inception_v3, inception_v3_arg_scope)
-
 import tensorlayer as tl
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 slim = tf.contrib.slim
 try:
     from tensorlayer.models.imagenet_classes import *
diff --git a/example/tutorial_keras.py b/example/tutorial_keras.py
@@ -8,6 +8,9 @@
 from keras.layers import *
 from tensorlayer.layers import *
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 X_train, y_train, X_val, y_val, X_test, y_test = tl.files.load_mnist_dataset(shape=(-1, 784))
 
 sess = tf.InteractiveSession()
diff --git a/example/tutorial_mlp_dropout1.py b/example/tutorial_mlp_dropout1.py
@@ -2,6 +2,9 @@
 import tensorflow as tf
 import tensorlayer as tl
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 sess = tf.InteractiveSession()
 
 # prepare data
diff --git a/example/tutorial_mlp_dropout2.py b/example/tutorial_mlp_dropout2.py
@@ -2,6 +2,9 @@
 import tensorflow as tf
 import tensorlayer as tl
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 sess = tf.InteractiveSession()
 
 # prepare data
diff --git a/example/tutorial_mnist.py b/example/tutorial_mnist.py
@@ -12,10 +12,12 @@
 """
 
 import time
-
 import tensorflow as tf
 import tensorlayer as tl
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 
 def main_test_layers(model='relu'):
     X_train, y_train, X_val, y_val, X_test, y_test = tl.files.load_mnist_dataset(shape=(-1, 784))
diff --git a/example/tutorial_mnist_distributed.py b/example/tutorial_mnist_distributed.py
@@ -13,9 +13,11 @@
 """
 
 import tensorflow as tf
-
 import tensorlayer as tl
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 # load environment for distributed training
 task_spec = tl.distributed.TaskSpec()
 task_spec.create_server()
diff --git a/example/tutorial_mnist_float16.py b/example/tutorial_mnist_float16.py
@@ -6,6 +6,9 @@
 import tensorlayer as tl
 from tensorlayer.layers import *
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 LayersConfig.tf_dtype = tf.float16  # tf.float32  tf.float16
 
 X_train, y_train, X_val, y_val, X_test, y_test = tl.files.load_mnist_dataset(shape=(-1, 28, 28, 1))
diff --git a/example/tutorial_mnist_simple.py b/example/tutorial_mnist_simple.py
@@ -4,6 +4,9 @@
 import tensorflow as tf
 import tensorlayer as tl
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 sess = tf.InteractiveSession()
 
 # prepare data
diff --git a/example/tutorial_mobilenet.py b/example/tutorial_mobilenet.py
@@ -8,14 +8,14 @@
 import json
 import os
 import time
-
 import numpy as np
 import tensorflow as tf
-
 import tensorlayer as tl
 from tensorlayer.layers import (
     BatchNormLayer, Conv2d, DepthwiseConv2d, FlattenLayer, GlobalMeanPool2d, InputLayer, ReshapeLayer
 )
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
 
 MODEL_PATH = os.path.join("models", "mobilenet.npz")
 
diff --git a/example/tutorial_models_mobilenetv1.py b/example/tutorial_models_mobilenetv1.py
@@ -13,6 +13,9 @@
 import tensorlayer as tl
 from tensorlayer.models.imagenet_classes import class_names
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 x = tf.placeholder(tf.float32, [None, 224, 224, 3])
 
 # get the whole model
diff --git a/example/tutorial_models_squeezenetv1.py b/example/tutorial_models_squeezenetv1.py
@@ -10,6 +10,9 @@
 import tensorlayer as tl
 from tensorlayer.models.imagenet_classes import class_names
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 x = tf.placeholder(tf.float32, [None, 224, 224, 3])
 
 # get the whole model
diff --git a/example/tutorial_models_vgg16.py b/example/tutorial_models_vgg16.py
@@ -10,6 +10,9 @@
 import tensorlayer as tl
 from tensorlayer.models.imagenet_classes import class_names
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 x = tf.placeholder(tf.float32, [None, 224, 224, 3])
 
 # get the whole model
diff --git a/example/tutorial_ptb_lstm.py b/example/tutorial_ptb_lstm.py
@@ -102,12 +102,13 @@
 
 import sys
 import time
-
 import numpy as np
 import tensorflow as tf
-
 import tensorlayer as tl
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 flags = tf.app.flags
 
 flags.DEFINE_string("model", "small", "A type of model. Possible options are: small, medium, large.")
diff --git a/example/tutorial_ptb_lstm_state_is_tuple.py b/example/tutorial_ptb_lstm_state_is_tuple.py
@@ -103,12 +103,13 @@
 
 import sys
 import time
-
 import numpy as np
 import tensorflow as tf
-
 import tensorlayer as tl
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 flags = tf.app.flags
 
 flags.DEFINE_string("model", "small", "A type of model. Possible options are: small, medium, large.")
diff --git a/example/tutorial_squeezenet.py b/example/tutorial_squeezenet.py
@@ -4,13 +4,14 @@
 import json
 import os
 import time
-
 import numpy as np
 import tensorflow as tf
-
 import tensorlayer as tl
 from tensorlayer.layers import (ConcatLayer, Conv2d, DropoutLayer, GlobalMeanPool2d, InputLayer, MaxPool2d)
 
+tf.logging.set_verbosity(tf.logging.DEBUG)
+tl.logging.set_verbosity(tl.logging.DEBUG)
+
 MODEL_PATH = os.path.join("models", "squeezenet.npz")
 
 
diff --git a/example/tutorial_ternaryweight_cifar10_tfrecord.py b/example/tutorial_ternaryweight_cifar10_tfrecord.py
diff --git a/example/tutorial_ternaryweight_mnist_cnn.py b/example/tutorial_ternaryweight_mnist_cnn.py
diff --git a/example/tutorial_tf_dataset_voc.py b/example/tutorial_tf_dataset_voc.py
diff --git a/example/tutorial_tfrecord.py b/example/tutorial_tfrecord.py
diff --git a/example/tutorial_tfslim.py b/example/tutorial_tfslim.py
diff --git a/example/tutorial_vgg16.py b/example/tutorial_vgg16.py
diff --git a/example/tutorial_vgg19.py b/example/tutorial_vgg19.py
diff --git a/example/tutorial_word2vec_basic.py b/example/tutorial_word2vec_basic.py
