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91 lines
3.3 KiB
91 lines
3.3 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/fill_constant_op.h"
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namespace paddle {
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namespace operators {
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class FillConstantOp : 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(ctx->HasOutput("Out"),
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"Output(Out) of FillConstantOp 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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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(
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framework::proto::VarType::Type(ctx.Attr<int>("dtype")),
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ctx.GetPlace());
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}
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};
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class FillConstantOpVarTypeInference : public framework::VarTypeInference {
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public:
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void operator()(framework::InferVarTypeContext* ctx) const override {
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auto data_type = static_cast<framework::proto::VarType::Type>(
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boost::get<int>(ctx->GetAttr("dtype")));
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auto& out_var_name = ctx->Output("Out").front();
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ctx->SetDataType(out_var_name, data_type);
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}
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};
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class FillConstantOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddAttr<int>("dtype",
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"(int, default 5 (FP32)) "
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"Output data type")
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.SetDefault(framework::proto::VarType::FP32);
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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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AddAttr<float>("value", "(float, default 0) The value to be filled")
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.SetDefault(0.0f);
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AddAttr<bool>("force_cpu",
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"(bool, default false) Force fill output variable to cpu "
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"memory. Otherwise, fill output variable to the running "
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"device")
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.SetDefault(false);
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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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FillConstantBatchSizeLike Operator.
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Fill up a variable with specified constant value.
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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(fill_constant, ops::FillConstantOp, ops::FillConstantOpMaker,
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ops::FillConstantOpVarTypeInference,
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paddle::framework::EmptyGradOpMaker);
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REGISTER_OP_CPU_KERNEL(fill_constant, ops::FillConstantKernel<float>,
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ops::FillConstantKernel<double>,
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ops::FillConstantKernel<int64_t>,
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ops::FillConstantKernel<int>,
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ops::FillConstantKernel<paddle::platform::float16>);
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