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33 lines
1.4 KiB
33 lines
1.4 KiB
8 years ago
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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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#define EIGEN_USE_GPU
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#include "paddle/operators/elementwise_div_op.h"
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namespace ops = paddle::operators;
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REGISTER_OP_CUDA_KERNEL(
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elementwise_div,
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ops::ElementwiseDivKernel<paddle::platform::CUDADeviceContext, float>,
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ops::ElementwiseDivKernel<paddle::platform::CUDADeviceContext, double>,
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ops::ElementwiseDivKernel<paddle::platform::CUDADeviceContext, int>,
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ops::ElementwiseDivKernel<paddle::platform::CUDADeviceContext, int64_t>);
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REGISTER_OP_CUDA_KERNEL(
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elementwise_div_grad,
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ops::ElementwiseDivGradKernel<paddle::platform::CUDADeviceContext, float>,
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ops::ElementwiseDivGradKernel<paddle::platform::CUDADeviceContext, double>,
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ops::ElementwiseDivGradKernel<paddle::platform::CUDADeviceContext, int>,
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ops::ElementwiseDivGradKernel<paddle::platform::CUDADeviceContext,
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int64_t>);
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