common.h

#pragma once

#ifndef __CUDACC_RTC__
#include <cuda_runtime.h>
#endif

#include <cuda/atomic>
#include <cutlass/fast_math.h>
#include <cutlass/numeric_types.h>
#include <math_constants.h>

using cutlass::bfloat16_t;
using cutlass::half_t;
using cutlass::tfloat32_t;

using int4_t = int4;

#define hexp cutlass::fast_exp
#define hlog cutlass::fast_log
#define hsqrt cutlass::fast_sqrt
#define htanh cutlass::fast_tanh
#define hpow powf

#define uint unsigned int
#define uchar unsigned char
#define ushort unsigned short

#define TL_DEVICE __forceinline__ __device__
#define TL_DEVICE_NOINLINE __noinline__ __device__
#define TL_PATCH

#define TILELANG_CHECK(stmt)                                                   \
  do {                                                                         \
    cudaError_t __err = (stmt);                                                \
    if (__err != cudaSuccess) {                                                \
      snprintf(error_buf, ERROR_BUF_SIZE, "%s:%d: %s - %s", __FILE__,          \
               __LINE__, cudaGetErrorName(__err), cudaGetErrorString(__err));  \
      return -1;                                                               \
    }                                                                          \
  } while (0)

#define TILELANG_CHECK_LAST_ERROR(kernel_name)                                 \
  do {                                                                         \
    cudaError_t __err = cudaGetLastError();                                    \
    if (__err != cudaSuccess) {                                                \
      snprintf(error_buf, ERROR_BUF_SIZE, kernel_name ": %s - %s",             \
               cudaGetErrorName(__err), cudaGetErrorString(__err));            \
      return -1;                                                               \
    }                                                                          \
  } while (0)

// abs function for bfloat_t and half_t since there is no implicit conversion
// method
TL_PATCH TL_DEVICE half_t __habs(const half_t x) {
  return half_t(__habs(x.to_half()));
}

// Pack two half values.
TL_DEVICE unsigned __pack_half2(const half x, const half y) {
  unsigned v0 = *((unsigned short *)&x);
  unsigned v1 = *((unsigned short *)&y);
  return (v1 << 16) | v0;
}

// Pack two half_t values.
TL_DEVICE unsigned __pack_half2(const half_t x, const half_t y) {
  unsigned v0 = *((unsigned short *)&x);
  unsigned v1 = *((unsigned short *)&y);
  return (v1 << 16) | v0;
}

// Pack two bfloat16_t values.
TL_DEVICE unsigned __pack_half2(const bfloat16_t x, const bfloat16_t y) {
  unsigned v0 = *((unsigned short *)&x);
  unsigned v1 = *((unsigned short *)&y);
  return (v1 << 16) | v0;
}

// Pack two bfloat16_t values.
TL_DEVICE unsigned __pack_nv_bfloat162(const bfloat16_t x, const bfloat16_t y) {
  unsigned v0 = *((unsigned short *)&x);
  unsigned v1 = *((unsigned short *)&y);
  return (v1 << 16) | v0;
}

// Pack four char values
TL_DEVICE int make_int(signed char x0, signed char x1, signed char x2,
                       signed char x3) {
  return (x3 << 24) | (x2 << 16) | (x1 << 8) | x0;
}

// Pack sixteen char values.
TL_DEVICE int4_t make_int4(signed char x0, signed char x1, signed char x2,
                           signed char x3, signed char y0, signed char y1,
                           signed char y2, signed char y3, signed char z0,
                           signed char z1, signed char z2, signed char z3,
                           signed char w0, signed char w1, signed char w2,
                           signed char w3) {
  int4_t result;
  result.x = make_int(x0, x1, x2, x3);
  result.y = make_int(y0, y1, y2, y3);
  result.z = make_int(z0, z1, z2, z3);
  result.w = make_int(w0, w1, w2, w3);
  return result;
}

// Helper to cast SMEM pointer to unsigned
TL_DEVICE uint32_t smem_ptr_to_uint(void const *const ptr) {
  return static_cast<uint32_t>(__cvta_generic_to_shared(ptr));
}

// Helper to cast SMEM pointer to unsigned
TL_DEVICE unsigned int cast_smem_ptr_to_int(const void *const smem_ptr) {
  unsigned int smem_int;
  asm volatile("{ .reg .u64 smem_int; cvta.to.shared.u64 smem_int, %1; "
               "cvt.u32.u64 %0, smem_int; }"
               : "=r"(smem_int)
               : "l"(smem_ptr));
  return smem_int;
}

template <typename T> struct normalize_atomic_type {
  using type = T;
};

template <> struct normalize_atomic_type<half_t> {
  using type = half;
};

#if (defined(__CUDA_ARCH_LIST__) && (__CUDA_ARCH_LIST__ > 750))
template <> struct normalize_atomic_type<bfloat16_t> {
  using type = __nv_bfloat16;
};
#endif

template <typename T1, typename T2> TL_DEVICE T1 cuda_cast(T2 val) {
  return T1(val);
}

template <> TL_DEVICE half cuda_cast<half, float>(float val) {
  return __float2half(val);
}

#if (defined(__CUDA_ARCH_LIST__) && (__CUDA_ARCH_LIST__ > 750))
template <> TL_DEVICE __nv_bfloat16 cuda_cast<__nv_bfloat16, float>(float val) {
  return __float2bfloat16(val);
}
#endif

template <typename T1, typename T2>
TL_DEVICE void AtomicMax(T1 *address, T2 val,
                         int memory_order = int(cuda::memory_order_relaxed)) {
  using NT1 = typename normalize_atomic_type<T1>::type;
  if constexpr (std::is_same_v<NT1, half> ||
                std::is_same_v<NT1, __nv_bfloat16>) {
    atomicMax(reinterpret_cast<NT1 *>(address), static_cast<NT1>(val));
  } else {
    cuda::atomic_ref<NT1, cuda::thread_scope_device> aref(*address);
    aref.fetch_max(cuda_cast<NT1>(val), cuda::memory_order(memory_order));
  }
}

template <typename T1, typename T2>
TL_DEVICE void AtomicMin(T1 *address, T2 val,
                         int memory_order = int(cuda::memory_order_relaxed)) {
  using NT1 = typename normalize_atomic_type<T1>::type;
  if constexpr (std::is_same_v<NT1, half> ||
                std::is_same_v<NT1, __nv_bfloat16>) {
    atomicMin(reinterpret_cast<NT1 *>(address), static_cast<NT1>(val));
  } else {
    cuda::atomic_ref<NT1, cuda::thread_scope_device> aref(*address);
    aref.fetch_min(cuda_cast<NT1>(val), cuda::memory_order(memory_order));
  }
}

template <typename T1, typename T2>
TL_DEVICE void AtomicAdd(T1 *address, T2 val,
                         int memory_order = int(cuda::memory_order_relaxed)) {
  using NT1 = typename normalize_atomic_type<T1>::type;
  if constexpr (std::is_same_v<NT1, half> ||
                std::is_same_v<NT1, __nv_bfloat16>) {
    atomicAdd(reinterpret_cast<NT1 *>(address), static_cast<NT1>(val));
  } else {
    cuda::atomic_ref<NT1, cuda::thread_scope_device> aref(*address);
    aref.fetch_add(cuda_cast<NT1>(val), cuda::memory_order(memory_order));
  }
}

// AtomicAdd Functions for FP16x2
TL_DEVICE void AtomicAddx2(half_t *address, half_t *val) {
  atomicAdd(reinterpret_cast<half2 *>(address),
            static_cast<half2>(*reinterpret_cast<half2 *>(val)));
}

#if (defined(__CUDA_ARCH_LIST__) && (__CUDA_ARCH_LIST__ > 750))

// AtomicAdd Functions for BFLOAT16x2
TL_DEVICE void AtomicAddx2(bfloat16_t *address, bfloat16_t *val) {
  atomicAdd(
      reinterpret_cast<__nv_bfloat162 *>(address),
      static_cast<__nv_bfloat162>(*reinterpret_cast<__nv_bfloat162 *>(val)));
}
#endif

#if (defined(__CUDA_ARCH_LIST__) && (__CUDA_ARCH_LIST__ >= 900))
// AtomicAdd Functions for FLOAT16x2
TL_DEVICE void AtomicAddx2(float *address, float *val) {
  atomicAdd(reinterpret_cast<float2 *>(address),
            static_cast<float2>(*reinterpret_cast<float2 *>(val)));
}
// AtomicAdd Functions for FLOAT16x4
TL_DEVICE void AtomicAddx4(float *address, float *val) {
  atomicAdd(reinterpret_cast<float4 *>(address),
            static_cast<float4>(*reinterpret_cast<float4 *>(val)));
}
#endif

template <typename T> TL_DEVICE T AtomicLoad(T *address, int memory_order) {
  cuda::atomic_ref<T, cuda::thread_scope_device> aref(*address);
  return aref.load(cuda::memory_order(memory_order));
}

template <typename T1, typename T2>
TL_DEVICE void AtomicStore(T1 *address, T2 value, int memory_order) {
  using NT1 = typename normalize_atomic_type<T1>::type;
  cuda::atomic_ref<NT1, cuda::thread_scope_device> aref(*address);
  aref.store(cuda_cast<NT1>(value), cuda::memory_order(memory_order));
}

// DP4A
template <typename InDatatype, typename OutDatatype>
TL_DEVICE void DP4A(InDatatype *a, InDatatype *b, OutDatatype *c) {
  const int a_int = *((int *)a);
  const int b_int = *((int *)b);
  const int c_int = *((int *)c);
  *c = __dp4a(a_int, b_int, c_int);
}

namespace tl {
// Any
template <typename T> TL_DEVICE bool Any(T *a, int size) {
  for (int i = 0; i < size; i++) {
    if (a[i]) {
      return true;
    }
  }
  return false;
}

// All
template <typename T> TL_DEVICE bool All(T *a, int size) {
  for (int i = 0; i < size; i++) {
    if (!a[i]) {
      return false;
    }
  }
  return true;
}

// Pow of int
template <int y = 1, typename T> TL_DEVICE T pow_of_int(T x) {
  T result = x;
  for (int i = 1; i < y; i++) {
    result *= x;
  }
  return result;
}

// Thread partial barrier synchronization
// https://docs.nvidia.com/cuda/parallel-thread-execution/#memory-consistency-model
template <int barrier_id = 0, int thread_count = 0>
TL_DEVICE void __sync_thread_partial() {
  asm volatile("bar.sync %0, %1;" : : "r"(barrier_id), "r"(thread_count));
}
} // namespace tl