f6ee54c9b1
The purpose of this change is to not waste memory allocating large FakeParams, which is especially important on GPU. This also adds a few other fixes needed to get optional variants working with cond_v2, including on GPU. PiperOrigin-RevId: 223260005
34 lines
1.2 KiB
Python
34 lines
1.2 KiB
Python
# Copyright 2018 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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"""Gradient functions for optional ops."""
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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 gen_dataset_ops
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@ops.RegisterGradient("OptionalFromValue")
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def _OptionalFromValueGrad(op, grad):
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return gen_dataset_ops.optional_get_value(
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grad, [t.dtype for t in op.inputs], [t.shape for t in op.inputs])
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@ops.RegisterGradient("OptionalGetValue")
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def _OptionalGetValueGrad(unused_op, *grads):
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return gen_dataset_ops.optional_from_value(grads)
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