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48 lines
1.8 KiB
48 lines
1.8 KiB
7 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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#include "paddle/operators/conv2d_op.h"
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namespace paddle {
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namespace operators {
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class CudnnConvOpMaker : public Conv2DOpMaker {
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public:
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CudnnConvOpMaker(framework::OpProto* proto,
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framework::OpAttrChecker* op_checker)
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: Conv2DOpMaker(proto, op_checker) {
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AddAttr<std::vector<int>>("dilations", "dilations of convolution operator.")
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.SetDefault(std::vector<int>{1, 1});
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AddAttr<int>("workspace_size_MB",
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"workspace size for cudnn, in MB, "
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"workspace is a section of GPU memory which will be "
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"allocated/freed each time the operator runs, larger "
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"workspace size can increase performance but also requires "
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"better hardward. This size should be carefully setted.")
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.SetDefault(4096);
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OP(conv_cudnn, ops::Conv2DOp, ops::CudnnConvOpMaker, conv_cudnn_grad,
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ops::Conv2DOpGrad);
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REGISTER_OP_CPU_KERNEL(
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conv_cudnn, ops::GemmConv2DKernel<paddle::platform::CPUPlace, float>);
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REGISTER_OP_CPU_KERNEL(
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conv_cudnn_grad,
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ops::GemmConvGrad2DKernel<paddle::platform::CPUPlace, float>);
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