/* SPDX-FileCopyrightText: 2021-2022 Intel Corporation
 *
 * SPDX-License-Identifier: Apache-2.0 */

#pragma once

#define __KERNEL_GPU__
#define __KERNEL_ONEAPI__
#define __KERNEL_64_BIT__

#ifdef WITH_EMBREE_GPU
#  define __KERNEL_GPU_RAYTRACING__
#endif

#define CCL_NAMESPACE_BEGIN
#define CCL_NAMESPACE_END

#include <cstdint>
#include <math.h>

#ifndef __NODES_MAX_GROUP__
#  define __NODES_MAX_GROUP__ NODE_GROUP_LEVEL_MAX
#endif
#ifndef __NODES_FEATURES__
#  define __NODES_FEATURES__ NODE_FEATURE_ALL
#endif

/* This one does not have an abstraction.
 * It's used by other devices directly.
 */

#define __device__

/* Qualifier wrappers for different names on different devices */

#define ccl_device inline
#define ccl_device_extern extern "C"
#define ccl_global
#define ccl_always_inline __attribute__((always_inline))
#define ccl_device_inline __attribute__((always_inline))
#define ccl_noinline __attribute__((noinline))
#define ccl_inline_constant const constexpr
#define ccl_device_constant static constexpr
#define ccl_static_constexpr static constexpr
#define ccl_device_forceinline __attribute__((always_inline))
#define ccl_device_noinline __attribute__((noinline))
#define ccl_device_noinline_cpu ccl_device
#define ccl_device_inline_method ccl_device
#define ccl_device_template_spec template<> ccl_device_inline
#define ccl_restrict __restrict__
#define ccl_optional_struct_init
#define ccl_private
#define ccl_ray_data ccl_private
#define ccl_gpu_shared
#define ATTR_FALLTHROUGH __attribute__((fallthrough))
#define ccl_constant const
#define ccl_try_align(...) __attribute__((aligned(__VA_ARGS__)))
#define ccl_align(n) __attribute__((aligned(n)))
#define kernel_assert(cond)
#define ccl_may_alias
#define ccl_attr_maybe_unused [[maybe_unused]]

/* clang-format off */

/* kernel.h adapters */
#define ccl_gpu_kernel(block_num_threads, thread_num_registers)
#define ccl_gpu_kernel_threads(block_num_threads)

#  define __ccl_gpu_kernel_signature(name, ...) \
void oneapi_kernel_##name(KernelGlobalsGPU *ccl_restrict kg, \
                          size_t kernel_global_size, \
                          size_t kernel_local_size, \
                          sycl::handler &cgh, \
                          __VA_ARGS__) { \
      (void)(kg); \
      cgh.parallel_for( \
          sycl::nd_range<1>(kernel_global_size, kernel_local_size), \
          [=](sycl::nd_item<1> item) {

#  define ccl_gpu_kernel_signature __ccl_gpu_kernel_signature

#  define ccl_gpu_kernel_postfix \
          }); \
    }

#define ccl_gpu_kernel_call(x) ((ONEAPIKernelContext*)kg)->x
#define ccl_gpu_kernel_within_bounds(i, n) ((i) < (n))

#define ccl_gpu_kernel_lambda(func, ...) \
  struct KernelLambda \
  { \
    KernelLambda(const ONEAPIKernelContext *_kg) : kg(_kg) {} \
    ccl_private const ONEAPIKernelContext *kg; \
    __VA_ARGS__; \
    int operator()(const int state) const { return (func); } \
  } ccl_gpu_kernel_lambda_pass((ONEAPIKernelContext *)kg)

/* GPU thread, block, grid size and index */

#  define ccl_gpu_thread_idx_x (sycl::ext::oneapi::this_work_item::get_nd_item<1>().get_local_id(0))
#  define ccl_gpu_block_dim_x (sycl::ext::oneapi::this_work_item::get_nd_item<1>().get_local_range(0))
#  define ccl_gpu_block_idx_x (sycl::ext::oneapi::this_work_item::get_nd_item<1>().get_group(0))
#  define ccl_gpu_grid_dim_x (sycl::ext::oneapi::this_work_item::get_nd_item<1>().get_group_range(0))
#  define ccl_gpu_warp_size (sycl::ext::oneapi::this_work_item::get_sub_group().get_local_range()[0])
#  define ccl_gpu_thread_mask(thread_warp) uint(0xFFFFFFFF >> (ccl_gpu_warp_size - thread_warp))

#  define ccl_gpu_global_id_x() (sycl::ext::oneapi::this_work_item::get_nd_item<1>().get_global_id(0))
#  define ccl_gpu_global_size_x() (sycl::ext::oneapi::this_work_item::get_nd_item<1>().get_global_range(0))

/* GPU warp synchronization */
#  define ccl_gpu_syncthreads() sycl::ext::oneapi::this_work_item::get_nd_item<1>().barrier()
#  define ccl_gpu_local_syncthreads() sycl::ext::oneapi::this_work_item::get_nd_item<1>().barrier(sycl::access::fence_space::local_space)

/* A ballot in SYCL is only available as an Intel extension and its DPC++ v6.3 implementation
 * does not support devices with sub-group sizes above 64. Summing values (of any type) within
 * sub-groups can be achieved with the SYCL core feature inclusive_scan_over_group, which has
 * better support on non-Intel devices. */
#  define ccl_gpu_ballot(predicate) 0; static_assert(false, "Use sycl::inclusive_scan_over_group on oneAPI device instead of ccl_gpu_ballot")

/* Debug defines */
#if defined(__SYCL_DEVICE_ONLY__)
#  define CCL_ONEAPI_CONSTANT __attribute__((opencl_constant))
#else
#  define CCL_ONEAPI_CONSTANT
#endif

#define sycl_printf(format, ...) {               \
    static const CCL_ONEAPI_CONSTANT char fmt[] = format;          \
    sycl::ext::oneapi::experimental::printf(fmt, __VA_ARGS__ );    \
  }

#define sycl_printf_(format) {               \
    static const CCL_ONEAPI_CONSTANT char fmt[] = format;          \
    sycl::ext::oneapi::experimental::printf(fmt);                  \
  }

/* GPU texture objects */

/* clang-format on */

/* Types */

/* It's not possible to use sycl types like sycl::float3, sycl::int3, etc
 * because these types have different interfaces from blender version. */

using uchar = unsigned char;
using sycl::half;

/* math functions */
ccl_device_forceinline float __uint_as_float(unsigned int x)
{
  return sycl::bit_cast<float>(x);
}
ccl_device_forceinline unsigned int __float_as_uint(const float x)
{
  return sycl::bit_cast<unsigned int>(x);
}
ccl_device_forceinline float __int_as_float(const int x)
{
  return sycl::bit_cast<float>(x);
}
ccl_device_forceinline int __float_as_int(const float x)
{
  return sycl::bit_cast<int>(x);
}

#define fabsf(x) sycl::fabs((x))
#define copysignf(x, y) sycl::copysign((x), (y))
#define asinf(x) sycl::asin((x))
#define acosf(x) sycl::acos((x))
#define atanf(x) sycl::atan((x))
#define floorf(x) sycl::floor((x))
#define ceilf(x) sycl::ceil((x))
#define roundf(x) sycl::round((x))
#define sinhf(x) sycl::sinh((x))
#define coshf(x) sycl::cosh((x))
#define tanhf(x) sycl::tanh((x))
#define hypotf(x, y) sycl::hypot((x), (y))
#define atan2f(x, y) sycl::atan2((x), (y))
#define fmaxf(x, y) sycl::fmax((x), (y))
#define fminf(x, y) sycl::fmin((x), (y))
#define fmodf(x, y) sycl::fmod((x), (y))
#define lgammaf(x) sycl::lgamma((x))
#define ldexpf(x, y) sycl::ldexp((x), (y))

#define cosf(x) sycl::native::cos(((float)(x)))
#define sinf(x) sycl::native::sin(((float)(x)))
#define powf(x, y) sycl::native::powr(((float)(x)), ((float)(y)))
#define tanf(x) sycl::native::tan(((float)(x)))
#define logf(x) sycl::native::log(((float)(x)))
#define expf(x) sycl::native::exp(((float)(x)))
#define sqrtf(x) sycl::native::sqrt(((float)(x)))

#define __forceinline __attribute__((always_inline))

/* Types */
#include "util/half.h"
#include "util/types.h"

static_assert(
    sizeof(sycl::ext::oneapi::experimental::sampled_image_handle::raw_image_handle_type) ==
    sizeof(uint64_t));
typedef uint64_t ccl_gpu_image_object_2D;
typedef uint64_t ccl_gpu_image_object_3D;

template<typename T>
ccl_device_forceinline T ccl_gpu_image_object_read_2D(const ccl_gpu_image_object_2D texobj,
                                                      const float x,
                                                      const float y)
{
  /* Generic implementation not possible due to limitation with SYCL bindless sampled images
   * not being able to read in a format, which is different from the supported data type of
   * the texture.
   * But looks it looks like this is not a problem at the moment. */
  static_assert(false);
  return T();
}

template<>
ccl_device_forceinline float ccl_gpu_image_object_read_2D<float>(
    const ccl_gpu_image_object_2D texobj, const float x, const float y)
{
  sycl::ext::oneapi::experimental::sampled_image_handle image(
      (sycl::ext::oneapi::experimental::sampled_image_handle::raw_image_handle_type)texobj);
  return sycl::ext::oneapi::experimental::sample_image<float>(image, sycl::float2{x, y});
}

template<>
ccl_device_forceinline float4 ccl_gpu_image_object_read_2D<float4>(
    const ccl_gpu_image_object_2D texobj, const float x, const float y)
{
  sycl::ext::oneapi::experimental::sampled_image_handle image(
      (sycl::ext::oneapi::experimental::sampled_image_handle::raw_image_handle_type)texobj);
  return sycl::ext::oneapi::experimental::sample_image<float4, sycl::vec<float, 4>>(
      image, sycl::float2{x, y});
}

template<typename T>
ccl_device_forceinline T ccl_gpu_image_object_read_3D(const ccl_gpu_image_object_3D texobj,
                                                      const float x,
                                                      const float y,
                                                      const float z)
{
  /* A generic implementation is not possible due to limitations with SYCL bindless sampled images
   * not being able to read in a format that is different from the supported data type of
   * the texture.
   * However, it looks like this is not a problem at the moment, but I am leaving a static
   * assert in order to easily detect if it becomes a problem in the future. */
  static_assert(false);
  return T();
}

template<>
ccl_device_forceinline float ccl_gpu_image_object_read_3D<float>(
    const ccl_gpu_image_object_3D texobj, const float x, const float y, const float z)
{
  sycl::ext::oneapi::experimental::sampled_image_handle image(
      (sycl::ext::oneapi::experimental::sampled_image_handle::raw_image_handle_type)texobj);
  return sycl::ext::oneapi::experimental::sample_image<float>(image, sycl::float3{x, y, z});
}

template<>
ccl_device_forceinline float4 ccl_gpu_image_object_read_3D<float4>(
    const ccl_gpu_image_object_3D texobj, const float x, const float y, const float z)
{
  sycl::ext::oneapi::experimental::sampled_image_handle image(
      (sycl::ext::oneapi::experimental::sampled_image_handle::raw_image_handle_type)texobj);
  return sycl::ext::oneapi::experimental::sample_image<float4, sycl::vec<float, 4>>(
      image, sycl::float3{x, y, z});
}
