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76 lines
2.5 KiB
76 lines
2.5 KiB
// Copyright (c) 2019 PaddlePaddle 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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#include <string>
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#include "paddle/fluid/operators/optimizers/dgc_momentum_op.h"
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namespace paddle {
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namespace operators {
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class DGCMomentumOp : public MomentumOp {
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public:
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using MomentumOp::MomentumOp;
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protected:
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void InferShape(framework::InferShapeContext* ctx) const override {
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OP_INOUT_CHECK(ctx->HasInput("current_step"), "Input", "current_step",
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"DGCMomentumOp");
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OP_INOUT_CHECK(ctx->HasInput("nranks"), "Input", "nranks", "DGCMomentumOp");
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OP_INOUT_CHECK(ctx->HasOutput("Grad_out"), "Output", "Grad_out",
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"DGCMomentumOp");
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return MomentumOp::InferShape(ctx);
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}
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framework::OpKernelType GetKernelTypeForVar(
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const std::string& var_name, const framework::Tensor& tensor,
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const framework::OpKernelType& expected_kernel_type) const override {
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if (var_name == "current_step" || var_name == "nranks") {
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VLOG(10) << "var_name:" << var_name << " need not to transform";
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return expected_kernel_type;
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}
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return framework::OperatorWithKernel::GetKernelTypeForVar(
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var_name, tensor, expected_kernel_type);
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}
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};
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class DGCMomentumOpMaker : public MomentumOpMaker {
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public:
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void Make() override {
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AddInput("current_step", "(Tensor) Current step.");
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AddInput("nranks", "(Tensor) The number of trainers.");
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AddOutput("Grad_out", "(Tensor) Output grad gradient");
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AddAttr<float>("rampup_begin_step",
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"(float, -1.0)"
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"The period when begin DGC.")
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.SetDefault(-1.0);
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return MomentumOpMaker::Make();
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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_WITHOUT_GRADIENT(dgc_momentum, ops::DGCMomentumOp,
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ops::DGCMomentumOpMaker);
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REGISTER_OP_CPU_KERNEL(
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dgc_momentum,
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ops::DGCMomentumKernel<paddle::platform::CPUDeviceContext, float>);
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