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#ifndef TIM_VX_OPS_DECONV1D_H_
#define TIM_VX_OPS_DECONV1D_H_

#include <array>

#include "tim/vx/builtin_op.h"

namespace tim {
namespace vx {
namespace ops {

/**
 * ## DeConv1d
 *
 * Performs the transpose of 1-D convolution operation.
 *
 * This operation is sometimes called "deconvolution1d" after Deconvolutional Networks,
 * but is actually the transpose (gradient) of Conv2D rather than an actual deconvolution.
 *
 * - weights : the channel number for weight tensor.
 * - ksize : the length for weight tensor.
 * - padding : AUTO, VALID or SAME.
 * - pad : pad value for each spatial axis.
 * - stride : stride along each spatial axis.
 * - output_padding : specifying the amount of padding along the height and width of
 * the output tensor.
 */

class DeConv1d : public BuiltinOp {
  public:
    DeConv1d(Graph* graph, PadType pad_type,
        uint32_t stride, uint32_t output_padding, uint32_t group = 1,
        DataLayout input_layout = DataLayout::WHCN,
        DataLayout kernel_layout = DataLayout::WHIcOc);
    DeConv1d(Graph* graph, const std::array<uint32_t, 2>& pad,
        uint32_t stride, uint32_t output_padding, uint32_t group = 1,
        DataLayout input_layout = DataLayout::WHCN,
        DataLayout kernel_layout = DataLayout::WHIcOc);
    DeConv1d(Graph* graph, int32_t oc_count_, PadType pad_type,
        uint32_t ksize,
        uint32_t stride,
        uint32_t output_padding);
    DeConv1d(Graph* graph, int32_t oc_count_, PadType pad_type,
        uint32_t ksize,
        uint32_t stride,
        uint32_t output_padding,
        const std::array<uint32_t, 2>& pad,
        uint32_t group = 1);
    DeConv1d(Graph* graph, PadType pad_type,
        uint32_t stride, uint32_t output_padding,
        const std::array<uint32_t, 2>& pad, uint32_t group,
        DataLayout input_layout, DataLayout kernel_layout);

   std::shared_ptr<Operation> Clone(std::shared_ptr<Graph>& graph) const override;

  protected:
    const uint32_t oc_count_; // output channel count
    const PadType pad_type_;
    const uint32_t ksize_;
    const uint32_t stride_;
    const uint32_t output_padding_;
    const std::array<uint32_t, 2> pad_;
    const uint32_t group_;
    const DataLayout kernel_layout_;
};

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

#endif /* TIM_VX_OPS_DECONV1D_H_ */