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77 lines
2.9 KiB
77 lines
2.9 KiB
/* 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/conv_op.h"
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namespace paddle {
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namespace operators {
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class CudnnConv2DOpMaker : public Conv2DOpMaker {
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public:
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CudnnConv2DOpMaker(framework::OpProto* proto,
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framework::OpAttrChecker* op_checker)
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: Conv2DOpMaker(proto, op_checker) {
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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 hardware. This size should be chosen carefully.")
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.SetDefault(4096);
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}
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};
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class CudnnConv3DOpMaker : public Conv3DOpMaker {
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public:
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CudnnConv3DOpMaker(framework::OpProto* proto,
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framework::OpAttrChecker* op_checker)
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: Conv3DOpMaker(proto, op_checker) {
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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 hardware. This size should be chosen carefully.")
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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(conv2d_cudnn, ops::ConvOp, ops::CudnnConv2DOpMaker,
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conv2d_cudnn_grad, ops::ConvOpGrad);
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REGISTER_OP(conv3d_cudnn, ops::ConvOp, ops::CudnnConv3DOpMaker,
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conv3d_cudnn_grad, ops::ConvOpGrad);
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REGISTER_OP_CPU_KERNEL(
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conv2d_cudnn,
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ops::GemmConvKernel<paddle::platform::CPUDeviceContext, float>,
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ops::GemmConvKernel<paddle::platform::CPUDeviceContext, double>);
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REGISTER_OP_CPU_KERNEL(
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conv2d_cudnn_grad,
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ops::GemmConvGradKernel<paddle::platform::CPUDeviceContext, float>,
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ops::GemmConvGradKernel<paddle::platform::CPUDeviceContext, double>);
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REGISTER_OP_CPU_KERNEL(
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conv3d_cudnn,
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ops::GemmConvKernel<paddle::platform::CPUDeviceContext, float>,
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ops::GemmConvKernel<paddle::platform::CPUDeviceContext, double>);
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REGISTER_OP_CPU_KERNEL(
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conv3d_cudnn_grad,
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ops::GemmConvGradKernel<paddle::platform::CPUDeviceContext, float>,
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ops::GemmConvGradKernel<paddle::platform::CPUDeviceContext, double>);
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