32 lines
1.1 KiB
Python
32 lines
1.1 KiB
Python
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# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Gradients for operators defined in manip_ops.py."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from tensorflow.python.framework import ops
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from tensorflow.python.ops import manip_ops
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@ops.RegisterGradient("Roll")
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def _RollGrad(op, grad):
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# The gradient is just the roll reversed
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shift = op.inputs[1]
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axis = op.inputs[2]
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roll_grad = manip_ops.roll(grad, -shift, axis)
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return roll_grad, None, None
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