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80 lines
3.0 KiB
80 lines
3.0 KiB
/* Copyright (c) 2019 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_op.h"
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#include "paddle/fluid/framework/op_registry.h"
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namespace paddle {
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namespace operators {
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class FillOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddComment(R"DOC(Fill operator
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Fill an tensor with `value` and `shape`. The type of the tensor is specify by
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`dtype`.
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)DOC");
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AddOutput("Out", "(LoDTensor) The output tensor.");
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AddAttr<std::vector<float>>(
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"value", "The float values of tensor, which are flatten in row major");
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AddAttr<std::vector<int>>("shape", "The shape of output tensor");
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AddAttr<int>("dtype", "The data type of output tensor, Default is float")
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.SetDefault(framework::proto::VarType::FP32);
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AddAttr<bool>("force_cpu",
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"Whether the output tensor must be at CPU memory or not. "
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"Default is false.")
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.SetDefault(false);
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}
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};
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class FillOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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void InferShape(framework::InferShapeContext* context) const override {
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OP_INOUT_CHECK(context->HasOutput("Out"), "Output", "Out", "Fill");
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auto& shape = context->Attrs().Get<std::vector<int>>("shape");
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context->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 FillOpVarTypeInference : 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_CONST(int, ctx->GetAttr("dtype")));
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ctx->SetOutputDataType("Out", data_type);
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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(
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fill, ops::FillOp, ops::FillOpMaker, ops::FillOpVarTypeInference,
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paddle::framework::EmptyGradOpMaker<paddle::framework::OpDesc>,
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paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>);
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REGISTER_OP_CPU_KERNEL(fill, ops::FillKernel<float>, ops::FillKernel<double>,
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ops::FillKernel<int64_t>, ops::FillKernel<int>,
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ops::FillKernel<paddle::platform::float16>);
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