/*
Copyright 2020 The OneFlow 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.
*/
#ifndef ONEFLOW_USER_KERNELS_REFLECTION_PAD_KERNELS_UTIL_H_
#define ONEFLOW_USER_KERNELS_REFLECTION_PAD_KERNELS_UTIL_H_
#if defined(WITH_CUDA) || defined(WITH_ROCM)
#include "oneflow/core/cuda/atomic.cuh"
#endif  // WITH_CUDA
#include "oneflow/core/common/nd_index_offset_helper.h"
#include "oneflow/core/ndarray/xpu_util.h"

namespace oneflow {

#define PADDING_DATA_TYPE_CPU_SEQ \
  FLOATING_DATA_TYPE_SEQ          \
  OF_PP_MAKE_TUPLE_SEQ(int32_t, DataType::kInt32)

#define PADDING_DATA_TYPE_CUDA_SEQ \
  FLOAT16_DATA_TYPE_SEQ            \
  PADDING_DATA_TYPE_CPU_SEQ

namespace user_op {

template<typename T>
struct DeviceAdd {
  OF_DEVICE_FUNC static void Invoke(const T* x, T* y) {
#if defined(__CUDA_ARCH__) || defined(__HIP_DEVICE_COMPILE__)
    cuda::atomic::Add(y, *x);
#else
    *y += *x;
#endif
  };
};

template<DeviceType device_type, typename IN_T>
struct ReflectionPad1dFunctor final {
  void operator()(ep::Stream* stream, const IN_T* src, IN_T* dest,
                  const NdIndexOffsetHelper<int64_t, 3>& index_helper, const int64_t n_batch,
                  const int64_t n_channel, const int64_t y_width, const int64_t x_width,
                  const int64_t pad_left);
};

template<DeviceType device_type, typename IN_T>
struct ReflectionPad1dGradFunctor final {
  void operator()(ep::Stream* stream, const IN_T* src, IN_T* dest,
                  const NdIndexOffsetHelper<int64_t, 3>& index_helper, const int64_t n_batch,
                  const int64_t n_channel, const int64_t dy_width, const int64_t dx_width,
                  const int64_t pad_left);
};

template<DeviceType device_type, typename IN_T>
struct ReflectionPad2dFunctor final {
  void operator()(ep::Stream* stream, const IN_T* src, IN_T* dest,
                  const NdIndexOffsetHelper<int64_t, 4>& index_helper, const int64_t n_batch,
                  const int64_t n_channel, const int64_t y_height, const int64_t y_width,
                  const int64_t x_height, const int64_t x_width, const int64_t pad_left,
                  const int64_t pad_top);
};

template<DeviceType device_type, typename IN_T>
struct ReflectionPad2dGradFunctor final {
  void operator()(ep::Stream* stream, const IN_T* src, IN_T* dest,
                  const NdIndexOffsetHelper<int64_t, 4>& index_helper, const int64_t n_batch,
                  const int64_t n_channel, const int64_t dy_height, const int64_t dy_width,
                  const int64_t dx_height, const int64_t dx_width, const int64_t pad_left,
                  const int64_t pad_top);
};

template<typename IN_T>
OF_DEVICE_FUNC void DoReflectionPad1d(const IN_T* src, IN_T* dest,
                                      const NdIndexOffsetHelper<int64_t, 3>& index_helper,
                                      const int64_t elem_num, const int64_t src_num,
                                      const int64_t dest_num, const int64_t y_width,
                                      const int64_t x_width, const int64_t pad_left) {
  XPU_1D_KERNEL_LOOP(k, elem_num) {
    int64_t n, c, j, ip_x;
    int64_t coord_y[3];
    index_helper.OffsetToNdIndex(k, coord_y);
    n = coord_y[0];
    c = coord_y[1];
    j = coord_y[2];
    if (j < pad_left) {
      ip_x = pad_left * 2 - j;
    } else if (j >= pad_left && j < x_width + pad_left) {
      ip_x = j;
    } else {
      ip_x = (x_width + pad_left - 1) * 2 - j;
    }

    ip_x = ip_x - pad_left;
    int64_t dest_index = n * dest_num + c * y_width + j;
    int64_t src_index = n * src_num + c * x_width + ip_x;
    dest[dest_index] = src[src_index];
  }
}

template<typename IN_T>
OF_DEVICE_FUNC void DoReflectionPad1dGrad(const IN_T* src, IN_T* dest,
                                          const NdIndexOffsetHelper<int64_t, 3>& index_helper,
                                          const int64_t elem_num, const int64_t src_num,
                                          const int64_t dest_num, const int64_t dy_width,
                                          const int64_t dx_width, const int64_t pad_left) {
  XPU_1D_KERNEL_LOOP(k, elem_num) {
    int64_t n, c, j, ip_x;
    int64_t coord[3];
    index_helper.OffsetToNdIndex(k, coord);
    n = coord[0];
    c = coord[1];
    j = coord[2];
    if (j < pad_left) {
      ip_x = pad_left * 2 - j;
    } else if (j >= pad_left && j < dx_width + pad_left) {
      ip_x = j;
    } else {
      ip_x = (dx_width + pad_left - 1) * 2 - j;
    }

    ip_x = ip_x - pad_left;

    int64_t src_index = n * src_num + c * dy_width + j;
    int64_t dest_index = n * dest_num + c * dx_width + ip_x;
    DeviceAdd<IN_T>::Invoke(src + src_index, dest + dest_index);
  }
}

template<typename IN_T>
OF_DEVICE_FUNC void DoReflectionPad2d(const IN_T* src, IN_T* dest,
                                      const NdIndexOffsetHelper<int64_t, 4>& index_helper,
                                      const int64_t elem_num, const int64_t src_num,
                                      const int64_t dest_num, const int64_t y_height,
                                      const int64_t y_width, const int64_t x_height,
                                      const int64_t x_width, const int64_t pad_left,
                                      const int64_t pad_top) {
  XPU_1D_KERNEL_LOOP(k, elem_num) {
    int64_t n, c, i, j, ip_x, ip_y;
    int64_t coord_y[4];
    index_helper.OffsetToNdIndex(k, coord_y);
    n = coord_y[0];
    c = coord_y[1];
    i = coord_y[2];
    j = coord_y[3];
    if (j < pad_left) {
      ip_x = pad_left * 2 - j;
    } else if (j >= pad_left && j < x_width + pad_left) {
      ip_x = j;
    } else {
      ip_x = (x_width + pad_left - 1) * 2 - j;
    }

    if (i < pad_top) {
      ip_y = pad_top * 2 - i;
    } else if (i >= pad_top && i < x_height + pad_top) {
      ip_y = i;
    } else {
      ip_y = (x_height + pad_top - 1) * 2 - i;
    }
    ip_x = ip_x - pad_left;
    ip_y = ip_y - pad_top;
    int64_t dest_index = n * dest_num + c * y_width * y_height + i * y_width + j;
    int64_t src_index = n * src_num + c * x_width * x_height + ip_y * x_width + ip_x;
    dest[dest_index] = src[src_index];
  }
}

template<typename IN_T>
OF_DEVICE_FUNC void DoReflectionPad2dGrad(const IN_T* src, IN_T* dest,
                                          const NdIndexOffsetHelper<int64_t, 4>& index_helper,
                                          const int64_t elem_num, const int64_t src_num,
                                          const int64_t dest_num, const int64_t dy_height,
                                          const int64_t dy_width, const int64_t dx_height,
                                          const int64_t dx_width, const int64_t pad_left,
                                          const int64_t pad_top) {
  XPU_1D_KERNEL_LOOP(k, elem_num) {
    int64_t n, c, i, j, ip_x, ip_y;
    int64_t coord[4];
    index_helper.OffsetToNdIndex(k, coord);
    n = coord[0];
    c = coord[1];
    i = coord[2];
    j = coord[3];
    if (j < pad_left) {
      ip_x = pad_left * 2 - j;
    } else if (j >= pad_left && j < dx_width + pad_left) {
      ip_x = j;
    } else {
      ip_x = (dx_width + pad_left - 1) * 2 - j;
    }

    if (i < pad_top) {
      ip_y = pad_top * 2 - i;
    } else if (i >= pad_top && i < dx_height + pad_top) {
      ip_y = i;
    } else {
      ip_y = (dx_height + pad_top - 1) * 2 - i;
    }
    ip_x = ip_x - pad_left;
    ip_y = ip_y - pad_top;

    int64_t src_index = n * src_num + c * dy_width * dy_height + i * dy_width + j;
    int64_t dest_index = n * dest_num + c * dx_width * dx_height + ip_y * dx_width + ip_x;
    DeviceAdd<IN_T>::Invoke(src + src_index, dest + dest_index);
  }
}

// macros for functors instantiate
#define INSTANTIATE_REFLECTION_PAD_FUNCTOR(device_type_v, dtype_pair)                  \
  template struct ReflectionPad1dFunctor<device_type_v, OF_PP_PAIR_FIRST(dtype_pair)>; \
  template struct ReflectionPad2dFunctor<device_type_v, OF_PP_PAIR_FIRST(dtype_pair)>;

#define INSTANTIATE_REFLECTION_PAD_GRAD_FUNCTOR(device_type_v, dtype_pair)                 \
  template struct ReflectionPad1dGradFunctor<device_type_v, OF_PP_PAIR_FIRST(dtype_pair)>; \
  template struct ReflectionPad2dGradFunctor<device_type_v, OF_PP_PAIR_FIRST(dtype_pair)>;

}  // namespace user_op
}  // namespace oneflow

#endif  // ONEFLOW_USER_KERNELS_REFLECTION_PAD_KERNELS_UTIL_H_
