/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/operators/fill_constant_op.h" namespace paddle { namespace operators { class FillConstantOp : public framework::OperatorWithKernel { public: using framework::OperatorWithKernel::OperatorWithKernel; void InferShape(framework::InferShapeContext *ctx) const override { PADDLE_ENFORCE(ctx->HasOutput("Out"), "Output(Out) of FillConstantOp should not be null."); auto &shape = ctx->Attrs().Get>("shape"); std::vector shape_int64(shape.size(), 0); std::transform(shape.begin(), shape.end(), shape_int64.begin(), [](int a) { return static_cast(a); }); auto dims = framework::make_ddim(shape_int64); ctx->SetOutputDim("Out", dims); } protected: framework::DataType IndicateDataType( const framework::ExecutionContext &ctx) const override { return static_cast(ctx.Attr("data_type")); } }; class FillConstantOpMaker : public framework::OpProtoAndCheckerMaker { public: FillConstantOpMaker(framework::OpProto *proto, framework::OpAttrChecker *op_checker) : framework::OpProtoAndCheckerMaker(proto, op_checker) { AddAttr("data_type", "(int, default 5 (FP32)) " "Output data type") .SetDefault(framework::DataType::FP32); AddAttr>("shape", "(vector) The shape of the output"); AddAttr("value", "(float, default 0) The value to be filled") .SetDefault(0.0f); AddOutput("Out", "(Tensor) Tensor of specified shape will be filled " "with the specified value"); AddComment(R"DOC( FillConstantBatchSizeLike Operator. Fill up a variable with specified constant value. )DOC"); } }; } // namespace operators } // namespace paddle namespace ops = paddle::operators; REGISTER_OP_WITHOUT_GRADIENT(fill_constant, ops::FillConstantOp, ops::FillConstantOpMaker); REGISTER_OP_CPU_KERNEL( fill_constant, ops::FillConstantOpKernel, ops::FillConstantOpKernel, ops::FillConstantOpKernel);