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87 lines
3.0 KiB
87 lines
3.0 KiB
/* Copyright (c) 2018 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/framework/data_type.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/operators/math/math_function.h"
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namespace paddle {
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namespace operators {
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class FakeInitInferShape : public framework::InferShapeBase {
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public:
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void operator()(framework::InferShapeContext *ctx) const override {
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PADDLE_ENFORCE(ctx->HasOutput("Out"),
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"Output(Out) of FakeInitOp should not be null.");
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auto &shape = ctx->Attrs().Get<std::vector<int64_t>>("shape");
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ctx->SetOutputDim("Out", framework::make_ddim(shape));
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}
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};
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class FakeInitOp : public framework::OperatorBase {
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public:
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using framework::OperatorBase::OperatorBase;
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private:
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void RunImpl(const framework::Scope &scope,
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const platform::Place &dev_place) const override {
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framework::Tensor *tensor = nullptr;
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auto &out_var = *scope.FindVar(Output("Out"));
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if (out_var.IsType<framework::LoDTensor>()) {
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tensor = out_var.GetMutable<framework::LoDTensor>();
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tensor->Resize(framework::make_ddim(Attr<std::vector<int64_t>>("shape")));
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} else if (out_var.IsType<framework::SelectedRows>()) {
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tensor = out_var.GetMutable<framework::SelectedRows>()->mutable_value();
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tensor->Resize(framework::make_ddim(Attr<std::vector<int64_t>>("shape")));
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} else {
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PADDLE_THROW(
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"fake init op's output only"
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"supports SelectedRows and LoDTensor");
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}
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}
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};
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class FakeInitOpVarTypeInference : public framework::VarTypeInference {
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public:
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void operator()(const framework::OpDesc &op_desc,
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framework::BlockDesc *block) const override {}
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};
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class FakeInitOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddAttr<std::vector<int64_t>>("shape",
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"(vector<int64_t>) The shape of the output");
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AddOutput("Out",
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"(Tensor) Tensor of specified shape will be filled "
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"with the specified value");
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AddComment(R"DOC(
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FakeInit Operator.
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Init an variable but not alloc memory for it, it is used for init the
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table parameter at trainer side in distributed lookup table.
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)DOC");
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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_OPERATOR(fake_init, ops::FakeInitOp, ops::FakeInitInferShape,
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ops::FakeInitOpMaker, paddle::framework::EmptyGradOpMaker,
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ops::FakeInitOpVarTypeInference);
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