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71 lines
2.5 KiB
71 lines
2.5 KiB
// Copyright (c) 2020 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 "paddle/fluid/operators/push_dense_op.h"
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#include <string>
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namespace paddle {
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namespace operators {
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class PushDenseOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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void InferShape(framework::InferShapeContext* ctx) const override {
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PADDLE_ENFORCE_GE(ctx->Inputs("Ids").size(), 1UL,
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platform::errors::InvalidArgument(
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"Input(Ids) of PushDenseOp can not be null."));
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}
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protected:
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framework::OpKernelType GetExpectedKernelType(
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const framework::ExecutionContext& ctx) const override {
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return framework::OpKernelType(framework::proto::VarType::FP32,
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ctx.device_context());
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}
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};
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class PushDenseOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("Ids", "the tensor to get batch size").AsDuplicable();
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AddAttr<int>("TableId", "(int, the table id of this embedding")
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.SetDefault(-1);
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AddAttr<float>("ScaleDataNorm", "(float, scale data norm gradient")
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.SetDefault(-1.0f);
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AddAttr<std::vector<std::string>>("InputNames", "(vector, slot names")
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.SetDefault(std::vector<std::string>());
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AddComment(R"DOC(
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Push Dense Operator.
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push dense gradients to PSLib's Parameter Server.
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The input gradients is all dense gradient tensors in a table.
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)DOC");
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}
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};
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DECLARE_NO_NEED_BUFFER_VARS_INFERER(PushDenseNoNeedBufferVarsInferer, "Ids");
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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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push_dense, ops::PushDenseOp, ops::PushDenseOpMaker,
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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::PushDenseNoNeedBufferVarsInferer);
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REGISTER_OP_CPU_KERNEL(push_dense, ops::PushDenseCPUKernel<float>)
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