def testComputeConvOutputPadding(self, padding, expected_padding, stride,
padding_algorithm):
"""Tests padding behavior. There are multiple bugs in the implementation."""
padding = tf.constant([padding], tf.float32)
expected_padding = tf.constant([expected_padding], tf.float32)
with self.session(use_gpu=True):
conv_padding = conv_layers.ComputeConvOutputPadding(
padding, window=3, stride=stride, padding_algorithm=padding_algorithm)
self.evaluate(tf.global_variables_initializer())
conv_padding = py_utils.Debug(conv_padding)
conv_padding = self.evaluate(conv_padding)
tf.logging.info('expected_padding {expected_padding}')
self.assertAllClose(expected_padding, conv_padding)
def testComputeConvOutputPadding(self, padding, expected_padding, stride,
padding_algorithm):
"""Test Convolution padding computation."""
padding = tf.constant([padding], tf.float32)
expected_padding = tf.constant([expected_padding], tf.float32)
with self.session(use_gpu=True) as sess:
conv_padding = conv_layers.ComputeConvOutputPadding(
padding,
window=3,
stride=stride,
padding_algorithm=padding_algorithm)
tf.global_variables_initializer().run()
conv_padding = py_utils.Debug(conv_padding)
conv_padding = sess.run(conv_padding)
tf.logging.info('expected_padding {expected_padding}')
self.assertAllClose(expected_padding, conv_padding)