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113 lines
3.9 KiB
113 lines
3.9 KiB
/* Copyright (c) 2016 PaddlePaddle 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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#include "paddle/fluid/operators/optimizers/momentum_op.h"
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#include "paddle/fluid/framework/op_version_registry.h"
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namespace paddle {
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namespace operators {
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using Tensor = framework::Tensor;
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class MomentumOpInferVarType : public framework::VarTypeInference {
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public:
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void operator()(framework::InferVarTypeContext* ctx) const override {
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auto in_var_type = ctx->GetInputType("Param");
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PADDLE_ENFORCE_EQ(
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in_var_type == framework::proto::VarType::SELECTED_ROWS ||
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in_var_type == framework::proto::VarType::LOD_TENSOR,
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true,
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platform::errors::InvalidArgument(
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"Only support LodTensor and SelectedRows, Unexpected Input Type."));
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ctx->SetOutputType("ParamOut", in_var_type, framework::ALL_ELEMENTS);
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}
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};
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void MomentumOpMaker::Make() {
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AddInput("Param",
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"(Tensor, default Tensor<float>) "
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"Input parameter that has to be updated");
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AddInput("Grad",
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"(Tensor, default Tensor<float>) "
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"Input gradient of the parameter");
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AddInput("Velocity",
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"(Tensor, default Tensor<float>) "
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"Input velocity (corresponding to the parameter) "
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"that has to be updated");
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AddInput("LearningRate",
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"(Tensor, default Tensor<float>) "
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"Input learning rate");
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AddOutput("ParamOut",
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"(Tensor) This output is updated parameter. "
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"It shared memory with Input(Param).");
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AddOutput("VelocityOut",
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"(Tensor) This output is updated velocity. "
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"It shared memory with Input(Velocity).");
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AddAttr<float>("mu", "(float) Momentum coefficient");
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AddAttr<bool>("use_nesterov",
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"(bool, default false) "
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"Use Nesterov Momentum")
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.SetDefault(false);
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AddAttr<std::string>(
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"regularization_method",
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"(string) regularization_method, right now only support l2decay or none")
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.SetDefault("");
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AddAttr<float>("regularization_coeff", "(float) regularization_coeff")
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.SetDefault(0);
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AddComment(R"DOC(
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Momentum Optimizer.
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This optimizer has a flag for Nestrov Momentum.
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The update equations are as follows:
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$$
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velocity = mu * velocity + gradient \\
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if (use\_nesterov): \\
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param = param - (gradient + mu * velocity) * learning\_rate \\
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else: \\
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param = param - learning\_rate * velocity. \\
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$$
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)DOC");
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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_OPERATOR(
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momentum, ops::MomentumOp, ops::MomentumOpMaker,
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paddle::framework::EmptyGradOpMaker<paddle::framework::OpDesc>,
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paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>,
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ops::MomentumOpInferVarType);
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REGISTER_OP_CPU_KERNEL(
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momentum, ops::MomentumOpKernel<paddle::platform::CPUDeviceContext, float>,
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ops::MomentumOpKernel<paddle::platform::CPUDeviceContext, double>);
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REGISTER_OP_VERSION(momentum)
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.AddCheckpoint(
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R"ROC(
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Upgrade momentum add 2 attributes [regularization_method, regularization_coeff].
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)ROC",
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paddle::framework::compatible::OpVersionDesc()
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.NewAttr("regularization_method",
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"(string) regularization_method, right now only support "
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"l2decay or none",
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std::string(""))
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.NewAttr("regularization_coeff", "(float) regularization_coeff",
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0.0f));
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