/****************************************************************************
*
*    Copyright (c) 2021 Vivante Corporation
*
*    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
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*    FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
*    DEALINGS IN THE SOFTWARE.
*
*****************************************************************************/
#include "tim/vx/ops/conv1d.h"

#include "operation_private.h"
#include "type_utils.h"
#include "vsi_nn_pub.h"

namespace tim {
namespace vx {
namespace ops {

Conv1d::Conv1d(Graph* graph, int32_t weights, PadType padding,
               uint32_t ksize, uint32_t stride,
               uint32_t dilation, int32_t multiplier,
               DataLayout input_layout, DataLayout kernel_layout)
    : Conv1d(graph, weights, padding, ksize, stride, dilation, {0, 0},
             multiplier, input_layout, kernel_layout) {}

Conv1d::Conv1d(Graph* graph, int32_t weights, PadType padding,
               uint32_t ksize, uint32_t stride, uint32_t dilation,
               const std::array<uint32_t, 2>& pad, int32_t multiplier,
               DataLayout input_layout, DataLayout kernel_layout)
    : Operation(graph, VSI_NN_OP_CONV1D, 0, 0, input_layout),
      weights_(weights),
      padding_(padding),
      ksize_(ksize),
      stride_(stride),
      dilation_(dilation),
      pad_(pad),
      multiplier_(multiplier),
      kernel_layout_(kernel_layout) {
  this->impl()->node()->nn_param.conv1d.ksize = ksize_;
  this->impl()->node()->nn_param.conv1d.stride = stride_;
  this->impl()->node()->nn_param.conv1d.pad_type = TranslatePadType(padding_);
  this->impl()->node()->nn_param.conv1d.weights = weights;
  this->impl()->node()->nn_param.conv1d.group = 1;
  this->impl()->node()->nn_param.conv1d.dilation = dilation_;
  this->impl()->node()->nn_param.conv1d.pad[0] = pad_[0];
  this->impl()->node()->nn_param.conv1d.pad[1] = pad_[1];
  this->impl()->node()->nn_param.conv1d.multiplier = multiplier_;
}

}  // namespace ops
}  // namespace vx
}  // namespace tim