array_operator.h

/* Copyright (c) 2016 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. */

#pragma once
#include "paddle/framework/lod_tensor_array.h"
#include "paddle/framework/op_registry.h"

namespace paddle {
namespace operators {
class ArrayOp : public framework::OperatorBase {
 public:
  ArrayOp(const std::string &type, const framework::VariableNameMap &inputs,
          const framework::VariableNameMap &outputs,
          const framework::AttributeMap &attrs)
      : OperatorBase(type, inputs, outputs, attrs) {}

 protected:
  size_t GetOffset(const framework::Scope &scope,
                   const platform::DeviceContext &dev_ctx) const {
    auto *i = scope.FindVar(Input("I"));
    PADDLE_ENFORCE(i != nullptr, "I must be set");
    auto &i_tensor = i->Get<framework::LoDTensor>();
    PADDLE_ENFORCE_EQ(i_tensor.numel(), 1);
    size_t offset;
    if (platform::is_gpu_place(i_tensor.place())) {
      // FIXME: Avoid copy from GPU to CPU
      framework::Tensor t;
      framework::CopyFrom(i_tensor, platform::CPUPlace(), dev_ctx, &t);
      dev_ctx.Wait();
      offset = static_cast<size_t>(*t.data<int64_t>());
    } else {
      offset = static_cast<size_t>(*i_tensor.data<int64_t>());
    }
    VLOG(10) << " Offset = " << offset;
    return offset;
  }
};

}  // namespace operators
}  // namespace paddle