91 lines
2.9 KiB
Python
91 lines
2.9 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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import os
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import unittest
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os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
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import tensorflow as tf
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from tensorflow.contrib.slim.python.slim.nets.inception_v3 import inception_v3
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from tensorflow.contrib.slim.python.slim.nets.inception_v3 import inception_v3_arg_scope
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slim = tf.contrib.slim
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keras = tf.keras
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import tensorlayer as tl
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from tests.utils import CustomTestCase
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class Layer_Importer_Test(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.net_in = dict()
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# ============================= #
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# LambdaLayer
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# ============================= #
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x = tf.placeholder(tf.float32, shape=[None, 784])
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cls.net_in["lambda"] = tl.layers.InputLayer(x, name='input')
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# ============================= #
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# SlimNetsLayer
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# ============================= #
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x = tf.placeholder(tf.float32, shape=[None, 299, 299, 3])
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cls.net_in["slim"] = tl.layers.InputLayer(x, name='input_layer')
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@classmethod
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def tearDownClass(cls):
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tf.reset_default_graph()
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def test_lambda_layer(self):
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def keras_block(x):
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x = keras.layers.Dropout(0.8)(x)
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x = keras.layers.Dense(100, activation='relu')(x)
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# x = keras.layers.Dropout(0.8)(x)
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# x = keras.layers.Dense(100, activation='relu')(x)
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x = keras.layers.Dropout(0.5)(x)
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logits = keras.layers.Dense(10, activation='linear')(x)
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return logits
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with self.assertNotRaises(Exception):
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tl.layers.LambdaLayer(self.net_in["lambda"], fn=keras_block, name='keras')
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def test_slim_layer(self):
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with self.assertNotRaises(Exception):
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with slim.arg_scope(inception_v3_arg_scope()):
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# Alternatively, you should implement inception_v3 without TensorLayer as follow.
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# logits, end_points = inception_v3(X, num_classes=1001,
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# is_training=False)
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tl.layers.SlimNetsLayer(
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self.net_in["slim"],
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slim_layer=inception_v3,
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slim_args={
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'num_classes': 1001,
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'is_training': False,
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# 'dropout_keep_prob' : 0.8, # for training
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# 'min_depth' : 16,
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# 'depth_multiplier' : 1.0,
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# 'prediction_fn' : slim.softmax,
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# 'spatial_squeeze' : True,
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# 'reuse' : None,
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# 'scope' : 'InceptionV3'
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},
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name='InceptionV3' # <-- the name should be the same with the ckpt model
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)
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if __name__ == '__main__':
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tf.logging.set_verbosity(tf.logging.DEBUG)
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tl.logging.set_verbosity(tl.logging.DEBUG)
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unittest.main()
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