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from __future__ import absolute_import, print_function | ||
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import unittest | ||
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import tensorflow as tf | ||
from tensorflow.contrib.layers.python.layers import regularizers | ||
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from niftynet.network.resnet import ResNet | ||
from tests.niftynet_testcase import NiftyNetTestCase | ||
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class ResNet3DTest(NiftyNetTestCase): | ||
def test_3d_shape(self): | ||
input_shape = (2, 8, 16, 32, 1) | ||
x = tf.ones(input_shape) | ||
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resnet_instance = ResNet(num_classes=160) | ||
out = resnet_instance(x, is_training=True) | ||
print(resnet_instance.num_trainable_params()) | ||
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with self.cached_session() as sess: | ||
sess.run(tf.global_variables_initializer()) | ||
out = sess.run(out) | ||
self.assertAllClose((2, 160), out.shape) | ||
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def test_2d_shape(self): | ||
input_shape = (2, 8, 16, 1) | ||
x = tf.ones(input_shape) | ||
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resnet_instance = ResNet(num_classes=160) | ||
out = resnet_instance(x, is_training=True) | ||
print(resnet_instance.num_trainable_params()) | ||
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with self.cached_session() as sess: | ||
sess.run(tf.global_variables_initializer()) | ||
out = sess.run(out) | ||
self.assertAllClose((2, 160), out.shape) | ||
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def test_3d_reg_shape(self): | ||
input_shape = (2, 8, 16, 24, 1) | ||
x = tf.ones(input_shape) | ||
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resnet_instance = ResNet(num_classes=160, | ||
w_regularizer=regularizers.l2_regularizer(0.4)) | ||
out = resnet_instance(x, is_training=True) | ||
print(resnet_instance.num_trainable_params()) | ||
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with self.cached_session() as sess: | ||
sess.run(tf.global_variables_initializer()) | ||
out = sess.run(out) | ||
self.assertAllClose((2, 160), out.shape) | ||
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def test_2d_reg_shape(self): | ||
input_shape = (2, 8, 16, 1) | ||
x = tf.ones(input_shape) | ||
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resnet_instance = ResNet(num_classes=160, | ||
w_regularizer=regularizers.l2_regularizer(0.4)) | ||
out = resnet_instance(x, is_training=True) | ||
print(resnet_instance.num_trainable_params()) | ||
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with self.cached_session() as sess: | ||
sess.run(tf.global_variables_initializer()) | ||
out = sess.run(out) | ||
self.assertAllClose((2, 160), out.shape) | ||
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if __name__ == "__main__": | ||
tf.test.main() |