text: /*
   * Copyright 2019 Xilinx Inc.
   *
   * 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 "./tensor.hpp"
  
  namespace vitis {
  namespace ai {
  
  class TensorBuffer {
   protected:
    explicit TensorBuffer(const Tensor* tensor);
  
   public:
    virtual ~TensorBuffer() = default;
  
   public:
    virtual std::pair<void*, std::size_t> data(
        const std::vector<std::int32_t> idx = {}) = 0;
  
   public:
    const Tensor* get_tensor() const;
  
   protected:
    const Tensor* tensor_;
  };
  
  class CpuFlatTensorBuffer : public TensorBuffer {
   public:
    explicit CpuFlatTensorBuffer(void* data, const Tensor* tensor);
    virtual ~CpuFlatTensorBuffer() = default;
  
   public:
    virtual std::pair<void*, size_t> data(
        const std::vector<int> idx = {}) override;
  
   protected:
    void* data_;
  };
  
  class CpuFlatTensorBufferOwned : public CpuFlatTensorBuffer {
   public:
    explicit CpuFlatTensorBufferOwned(const Tensor* tensor);
    virtual ~CpuFlatTensorBufferOwned() = default;
  
   private:
    std::vector<char> buffer_;
  };
  }  // namespace ai
  }  // namespace vitis
  