// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. // // 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/fluid/operators/assign_value_op.h" #include #include namespace paddle { namespace operators { class AssignValueOp : public framework::OperatorWithKernel { public: AssignValueOp(const std::string &type, const framework::VariableNameMap &inputs, const framework::VariableNameMap &outputs, const framework::AttributeMap &attrs) : OperatorWithKernel(type, inputs, outputs, attrs) {} void InferShape(framework::InferShapeContext *ctx) const override { PADDLE_ENFORCE(ctx->HasOutput("Out"), "Output(Out) of AssignValueOp should not be null."); auto shape = ctx->Attrs().Get>("shape"); ctx->SetOutputDim("Out", framework::make_ddim(shape)); } protected: framework::OpKernelType GetExpectedKernelType( const framework::ExecutionContext &ctx) const override { return framework::OpKernelType( framework::proto::VarType::Type(ctx.Attr("dtype")), ctx.GetPlace()); } }; class AssignValueOpMaker : public framework::OpProtoAndCheckerMaker { public: void Make() override { AddOutput("Out", "(Tensor) Output tensor of assign_value operator."); AddAttr>("shape", "(vector) " "Shape of values."); AddAttr("dtype", "data type of values") .InEnum({framework::proto::VarType::INT32, framework::proto::VarType::FP32}); AddAttr>("fp32_values", "store the float values") .SetDefault({}); AddAttr>("int32_values", "store the int values") .SetDefault({}); AddComment(R"DOC( AssignValue operator $$Out = values$$ )DOC"); } }; } // namespace operators } // namespace paddle namespace ops = paddle::operators; REGISTER_OPERATOR(assign_value, ops::AssignValueOp, ops::AssignValueOpMaker, paddle::framework::EmptyGradOpMaker); REGISTER_OP_CPU_KERNEL(assign_value, ops::AssignValueKernel, ops::AssignValueKernel);