assign_value_op.cc

/* Copyright (c) 2018 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/assign_value_op.h"

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<std::vector<int>>("shape");
    ctx->SetOutputDim("Out", framework::make_ddim(shape));
  }

 protected:
  framework::OpKernelType GetExpectedKernelType(
      const framework::ExecutionContext &ctx) const override {
    return framework::OpKernelType(
        framework::proto::DataType(ctx.Attr<int>("dtype")), ctx.GetPlace());
  }
};

class AssignValueOpMaker : public framework::OpProtoAndCheckerMaker {
 public:
  AssignValueOpMaker(OpProto *proto, OpAttrChecker *op_checker)
      : OpProtoAndCheckerMaker(proto, op_checker) {
    AddOutput("Out", "(Tensor) Output tensor of assign_value operator.");
    AddAttr<std::vector<int>>("shape",
                              "(vector<int>) "
                              "Shape of values.");
    AddAttr<int>("dtype", "data type of values")
        .InEnum({framework::proto::DataType::INT32,
                 framework::proto::DataType::FP32});
    AddAttr<std::vector<float>>("fp32_values", "store the float values")
        .SetDefault({});
    AddAttr<std::vector<int>>("int32_values", "store the int values")
        .SetDefault({});
    AddComment(R"DOC(
AssignValue operator

$$Out = values$$
)DOC");
  }
};

template <typename T>
class AssignValueCPUKernel : public AssignValueKernel<T> {
 protected:
  virtual void Copy(void *dst, const void *src, size_t size,
                    const framework::ExecutionContext &ctx) const {
    std::memcpy(dst, src, size);
  }
};

}  // namespace operators
}  // namespace paddle

namespace ops = paddle::operators;

REGISTER_OPERATOR(assign_value, ops::AssignValueOp, ops::AssignValueOpMaker);
REGISTER_OP_CPU_KERNEL(assign_value, ops::AssignValueCPUKernel<int>,
                       ops::AssignValueCPUKernel<float>)