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Diffstat (limited to 'tensorflow/python/ops/nn_grad_test.py')
-rw-r--r-- | tensorflow/python/ops/nn_grad_test.py | 48 |
1 files changed, 48 insertions, 0 deletions
diff --git a/tensorflow/python/ops/nn_grad_test.py b/tensorflow/python/ops/nn_grad_test.py new file mode 100644 index 0000000000..f7541c0e89 --- /dev/null +++ b/tensorflow/python/ops/nn_grad_test.py @@ -0,0 +1,48 @@ +# Copyright 2016 The TensorFlow Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ============================================================================== +"""Tests for Python ops defined in nn_grad.py.""" + +from __future__ import absolute_import +from __future__ import division +from __future__ import print_function + +import numpy as np + +from tensorflow.python.framework import constant_op +from tensorflow.python.framework import dtypes +from tensorflow.python.ops import gradient_checker +from tensorflow.python.ops import gradients_impl +from tensorflow.python.ops import nn_grad +from tensorflow.python.ops import nn_ops +from tensorflow.python.platform import test + + +class Relu6OpTest(test.TestCase): + def testRelu6GradGrad(self): + inputs = constant_op.constant([[-2, -1, 1, 3], [5, 7, 8, 9]], + dtype=dtypes.float32) + x_init_value = np.array([[-3.5, -1.5, 2, 4], [4.5, 7.5, 8.5, 11]]) + r = nn_ops.relu6(inputs) + r_g = gradients_impl.gradients(r, inputs)[0] + with self.test_session(): + error = gradient_checker.compute_gradient_error( + inputs, inputs.get_shape().as_list(), + r_g, r_g.get_shape().as_list(), + x_init_value=x_init_value) + self.assertLess(error, 1e-4) + + +if __name__ == "__main__": + test.main() |