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Copy pathtest_layers_stack.py
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61 lines (42 loc) · 1.66 KB
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import unittest
import tensorflow as tf
import tensorlayer as tl
class Layer_Stack_Test(unittest.TestCase):
@classmethod
def setUpClass(cls):
x = tf.placeholder(tf.float32, shape=[None, 30])
net = tl.layers.InputLayer(x, name='input')
net1 = tl.layers.DenseLayer(net, n_units=10, name='dense1')
net2 = tl.layers.DenseLayer(net, n_units=10, name='dense2')
net3 = tl.layers.DenseLayer(net, n_units=10, name='dense3')
net = tl.layers.StackLayer([net1, net2, net3], axis=1, name='stack')
net.print_layers()
net.print_params(False)
cls.net_shape = net.outputs.get_shape().as_list()
cls.layers = net.all_layers
cls.params = net.all_params
cls.n_params = net.count_params()
cls.net = tl.layers.UnStackLayer(net, axis=1, name='unstack')
@classmethod
def tearDownClass(cls):
tf.reset_default_graph()
def test_net_shape(self):
self.assertEqual(self.net_shape[-1], 10)
def test_layers(self):
self.assertEqual(len(self.layers), 4)
def test_params(self):
self.assertEqual(len(self.params), 6)
self.assertEqual(self.n_params, 930)
def test_unstack(self):
for n in self.net:
shape = n.outputs.get_shape().as_list()
self.assertEqual(shape[-1], 10)
self.assertEqual(len(n.all_layers), 4)
self.assertEqual(len(n.all_params), 6)
self.assertEqual(n.count_params(), 930)
if __name__ == '__main__':
# tf.logging.set_verbosity(tf.logging.INFO)
tf.logging.set_verbosity(tf.logging.DEBUG)
unittest.main()