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# 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 # pylint: disable=unused-import
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.cached_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()
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