/*
 * Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
 *
 * Permission is hereby granted, free of charge, to any person obtaining a
 * copy of this software and associated documentation files (the "Software"),
 * to deal in the Software without restriction, including without limitation
 * the rights to use, copy, modify, merge, publish, distribute, sublicense,
 * and/or sell copies of the Software, and to permit persons to whom the
 * Software is furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in
 * all copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL
 * THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
 * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
 * DEALINGS IN THE SOFTWARE.
 */

#pragma once

#include <onnx/onnx_pb.h>
#include <NvInfer.h>

namespace onnx2trt {

class ShapedWeights {
public:
  typedef int32_t DataType;
  DataType type;
  void* values;
  nvinfer1::Dims shape;
  static ShapedWeights empty(DataType type);
  ShapedWeights();
  explicit ShapedWeights(DataType type, void* values, nvinfer1::Dims shape_);
  size_t count() const;
  size_t size_bytes() const;
  operator bool() const;
  operator nvinfer1::Weights() const;
};

bool transposeWeights(ShapedWeights const& weights,
                      nvinfer1::Permutation const& perm,
                      ShapedWeights* result);

bool convertINT64(void * weightValues, const size_t nbWeights, std::vector<int32_t>& converted_weights);

} // namespace onnx2trt