Split cwise igammas GPU code into multiple files
This file was a bottleneck during compilation, often taking many minutes to compile. In local testing this change reduces the wall-clock build time for the affected kernels from 141s to 87s. PiperOrigin-RevId: 229179013
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tensorflow/core/kernels/cwise_op_gpu_igammas_double.cu.cc
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tensorflow/core/kernels/cwise_op_gpu_igammas_double.cu.cc
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/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#if GOOGLE_CUDA
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#include "tensorflow/core/kernels/cwise_ops_gpu_common.cu.h"
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#include "tensorflow/core/kernels/cwise_ops_gpu_gradients.cu.h"
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namespace tensorflow {
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namespace functor {
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DEFINE_BINARY1(igamma, double);
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DEFINE_BINARY1(igamma_grad_a, double);
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DEFINE_BINARY1(igammac, double);
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} // namespace functor
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} // namespace tensorflow
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#endif // GOOGLE_CUDA
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@ -20,9 +20,9 @@ limitations under the License.
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namespace tensorflow {
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namespace functor {
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DEFINE_BINARY2(igamma, float, double);
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DEFINE_BINARY2(igamma_grad_a, float, double);
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DEFINE_BINARY2(igammac, float, double);
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DEFINE_BINARY1(igamma, float);
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DEFINE_BINARY1(igamma_grad_a, float);
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DEFINE_BINARY1(igammac, float);
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} // namespace functor
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} // namespace tensorflow
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