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Commit 7572a691 authored by coderfeli's avatar coderfeli
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merge develop

parents 7796fc73 6b6fcd37
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include/ck/utility/array.hpp
View file @ 7572a691
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
#ifndef CK_ARRAY_HPP
#define CK_ARRAY_HPP
......@@ -38,6 +38,8 @@ struct Array
}
__host__ __device__ constexpr const TData* begin() const { return &mData[0]; }
__host__ __device__ constexpr const TData* end() const { return &mData[NSize]; }
__host__ __device__ constexpr TData* begin() { return &mData[0]; }
__host__ __device__ constexpr TData* end() { return &mData[NSize]; }
};
// empty Array
......@@ -54,7 +56,7 @@ template <typename X, typename... Xs>
__host__ __device__ constexpr auto make_array(X&& x, Xs&&... xs)
{
using data_type = remove_cvref_t<X>;
return Array<data_type, sizeof...(Xs) + 1>{std::forward<X>(x), std::forward<Xs>(xs)...};
return Array<data_type, sizeof...(Xs) + 1>{ck::forward<X>(x), ck::forward<Xs>(xs)...};
}
// make empty array
......
include/ck/utility/blkgemmpipe_scheduler.hpp
View file @ 7572a691
......@@ -103,14 +103,22 @@ struct BlockwiseGemmXdlops_pipeline_hotloop_inst
KPerXDL);
printf(" A/B buffer load inst: %d, %d\n A/B LDS write inst: %d, %d\n A/B LDS read inst: "
"%d, %d\n C MFMA inst: %d\n",
"%d, %d\n C MFMA inst: %d\n"
"A/B LDS read width: %d, %d, A/B LDS write width: %d, %d, A/B buffer load width: "
"%d/ %d\n",
A_Buffer_Load_Inst_Num,
B_Buffer_Load_Inst_Num,
A_LDS_Write_Inst_Num,
B_LDS_Write_Inst_Num,
A_LDS_Read_Inst_Num,
B_LDS_Read_Inst_Num,
C_MFMA_Inst_Num);
C_MFMA_Inst_Num,
A_LDS_Read_Width,
B_LDS_Read_Width,
ALDSWriteWidth,
BLDSWriteWidth,
ABufferLoadWidth,
BBufferLoadWidth);
}
};
......
include/ck/utility/container_helper.hpp
View file @ 7572a691
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
#ifndef CK_CONTAINER_HELPER_HPP
#define CK_CONTAINER_HELPER_HPP
......@@ -326,14 +326,14 @@ template <typename T, index_t NX, index_t NY>
__host__ __device__ constexpr auto container_concat(const Array<T, NX>& ax, const Array<T, NY>& ay)
{
return unpack2(
[&](auto&&... zs) { return make_array(std::forward<decltype(zs)>(zs)...); }, ax, ay);
[&](auto&&... zs) { return make_array(ck::forward<decltype(zs)>(zs)...); }, ax, ay);
}
template <typename... X, typename... Y>
__host__ __device__ constexpr auto container_concat(const Tuple<X...>& tx, const Tuple<Y...>& ty)
{
return unpack2(
[&](auto&&... zs) { return make_tuple(std::forward<decltype(zs)>(zs)...); }, tx, ty);
[&](auto&&... zs) { return make_tuple(ck::forward<decltype(zs)>(zs)...); }, tx, ty);
}
template <typename Container>
......
include/ck/utility/data_type.hpp
View file @ 7572a691
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include "ck/utility/amd_ck_fp8.hpp"
#include "ck/utility/e8m0.hpp"
#include "ck/utility/statically_indexed_array.hpp"
#ifdef CK_CODE_GEN_RTC
using int8_t = signed char;
using uint8_t = unsigned char;
using int16_t = signed short;
using uint16_t = unsigned short;
using float_t = float;
#endif
namespace ck {
#ifdef CK_CODE_GEN_RTC
using byte = unsigned char;
#else
using std::byte;
#endif
using bhalf_t = ushort;
using half_t = _Float16;
using int4_t = _BitInt(4);
using f4_t = unsigned _BitInt(4);
using f6_t = _BitInt(6); // e2m3 format
using bf6_t = unsigned _BitInt(6); // e3m2 format
struct f4x2_pk_t
{
using type = uint8_t;
type data;
f4x2_pk_t() : data{type{}} {}
f4x2_pk_t(type init) : data{init} {}
template <index_t I>
__host__ __device__ inline type unpack(Number<I>) const
{
static_assert(I < 2, "Index is out of range.");
if constexpr(I == 0)
return data & 0b00001111;
else
return (data >> 4);
}
__host__ __device__ inline type pack(const type x0, const type x1)
{
return (x1 << 4) | (x0 & 0b00001111);
}
};
struct f6x16_pk_t
{
// store 16 elements of f6_t in an array of 3 uint32_t
using element_type = uint32_t;
using type = StaticallyIndexedArray_v2<element_type, 3>;
type data;
typedef int8_t test_vec_t __attribute__((ext_vector_type(16)));
f6x16_pk_t() : data{type{}} {}
f6x16_pk_t(type init) : data{init} {}
template <index_t I>
__host__ __device__ inline f6_t unpack(Number<I>)
{
static_assert(I < 16, "Index out of range for 16 f6_t elements.");
constexpr int num_bits_elem = 6;
constexpr int num_bits_vec_elem = 32;
constexpr int vector_size = 3;
constexpr int bit_pos = I * num_bits_elem;
constexpr int arr_idx = bit_pos / num_bits_vec_elem;
constexpr int bit_offset = bit_pos % num_bits_vec_elem;
uint32_t bits = data.At(Number<arr_idx>{}) >> bit_offset;
constexpr int overhang = bit_offset + num_bits_elem - num_bits_vec_elem;
if constexpr(overhang > 0 && (arr_idx + 1) < vector_size)
{
bits |= (data.At(Number<arr_idx + 1>{}) & ((1u << overhang) - 1))
<< (num_bits_elem - overhang);
}
return static_cast<f6_t>(bits & 0x3F);
}
__host__ __device__ inline type pack(const test_vec_t& x)
{
type packed{};
// for each of the 16 f6_t values, place its 6 bits in the correct position
ck::static_for<0, 16, 1>{}([&](auto i) {
uint32_t bits = static_cast<uint32_t>(x[static_cast<int>(i)]) & 0x3F;
constexpr int num_bits_elem = 6;
constexpr int num_bits_vec_elem = 32;
constexpr int vector_size = 3;
constexpr int bit_pos = i * num_bits_elem;
constexpr int arr_index = bit_pos / num_bits_vec_elem;
constexpr int bit_offset = bit_pos % num_bits_vec_elem;
constexpr int overhang = bit_offset + num_bits_elem - num_bits_vec_elem;
uint32_t old_value = packed.At(Number<arr_index>{});
// insert bits into the current 32-bit block
old_value |= (bits << bit_offset);
packed.At(Number<arr_index>{}) = old_value;
// if it crosses into the next block, shift the remainder
if constexpr(overhang > 0 && (arr_index + 1) < vector_size)
{
uint32_t next_value = packed.At(Number<arr_index + 1>{});
next_value |= (bits >> (num_bits_elem - overhang));
packed.At(Number<arr_index + 1>{}) = next_value;
}
});
return packed;
}
};
struct f6x32_pk_t
{
// store 32 elements of f6_t in an array of 6 uint32_t
using element_type = uint32_t;
using type = StaticallyIndexedArray_v2<element_type, 6>;
type data;
typedef int8_t test_vec_t __attribute__((ext_vector_type(32)));
f6x32_pk_t() : data{type{}} {}
f6x32_pk_t(type init) : data{init} {}
template <index_t I>
__host__ __device__ inline f6_t unpack(Number<I>)
{
static_assert(I < 32, "Index out of range for 32 f6_t elements.");
constexpr int num_bits_elem = 6;
constexpr int num_bits_vec_elem = 32;
constexpr int vector_size = 6;
constexpr int bit_pos = I * num_bits_elem;
constexpr int arr_idx = bit_pos / num_bits_vec_elem;
constexpr int bit_offset = bit_pos % num_bits_vec_elem;
uint32_t bits = data.At(Number<arr_idx>{}) >> bit_offset;
constexpr int overhang = bit_offset + num_bits_elem - num_bits_vec_elem;
if constexpr(overhang > 0 && (arr_idx + 1) < vector_size)
{
bits |= (data.At(Number<arr_idx + 1>{}) & ((1u << overhang) - 1))
<< (num_bits_elem - overhang);
}
return static_cast<f6_t>(bits & 0x3F);
}
__host__ __device__ inline type pack(const test_vec_t& x)
{
type packed{};
// for each of the 32 f6_t values, place its 6 bits in the correct position
ck::static_for<0, 32, 1>{}([&](auto i) {
uint32_t bits = static_cast<uint32_t>(x[static_cast<int>(i)]) & 0x3F;
constexpr int num_bits_elem = 6;
constexpr int num_bits_vec_elem = 32;
constexpr int vector_size = 6;
constexpr int bit_pos = i * num_bits_elem;
constexpr int arr_index = bit_pos / num_bits_vec_elem;
constexpr int bit_offset = bit_pos % num_bits_vec_elem;
constexpr int overhang = bit_offset + num_bits_elem - num_bits_vec_elem;
uint32_t old_value = packed.At(Number<arr_index>{});
// insert bits into the current 32-bit block
old_value |= (bits << bit_offset);
packed.At(Number<arr_index>{}) = old_value;
// if it crosses into the next block, shift the remainder
if constexpr(overhang > 0 && (arr_index + 1) < vector_size)
{
uint32_t next_value = packed.At(Number<arr_index + 1>{});
next_value |= (bits >> (num_bits_elem - overhang));
packed.At(Number<arr_index + 1>{}) = next_value;
}
});
return packed;
}
};
struct bf6x16_pk_t
{
// store 16 elements of bf6_t in an array of 3 uint32_t
using element_type = uint32_t;
using type = StaticallyIndexedArray_v2<element_type, 3>;
type data;
typedef int8_t test_vec_t __attribute__((ext_vector_type(16)));
bf6x16_pk_t() : data{type{}} {}
bf6x16_pk_t(type init) : data{init} {}
template <index_t I>
__host__ __device__ inline bf6_t unpack(Number<I>)
{
static_assert(I < 16, "Index out of range for 16 f6_t elements.");
constexpr int num_bits_elem = 6;
constexpr int num_bits_vec_elem = 32;
constexpr int vector_size = 3;
constexpr int bit_pos = I * num_bits_elem;
constexpr int arr_idx = bit_pos / num_bits_vec_elem;
constexpr int bit_offset = bit_pos % num_bits_vec_elem;
uint32_t bits = data.At(Number<arr_idx>{}) >> bit_offset;
constexpr int overhang = bit_offset + num_bits_elem - num_bits_vec_elem;
if constexpr(overhang > 0 && (arr_idx + 1) < vector_size)
{
bits |= (data.At(Number<arr_idx + 1>{}) & ((1u << overhang) - 1))
<< (num_bits_elem - overhang);
}
return static_cast<bf6_t>(bits & 0x3F);
}
__host__ __device__ inline type pack(const test_vec_t& x)
{
type packed{};
// for each of the 16 bf6_t values, place its 6 bits in the correct position
ck::static_for<0, 16, 1>{}([&](auto i) {
uint32_t bits = static_cast<uint32_t>(x[static_cast<int>(i)]) & 0x3F;
constexpr int num_bits_elem = 6;
constexpr int num_bits_vec_elem = 32;
constexpr int vector_size = 3;
constexpr int bit_pos = i * num_bits_elem;
constexpr int arr_index = bit_pos / num_bits_vec_elem;
constexpr int bit_offset = bit_pos % num_bits_vec_elem;
constexpr int overhang = bit_offset + num_bits_elem - num_bits_vec_elem;
uint32_t old_value = packed.At(Number<arr_index>{});
// insert bits into the current 32-bit block
old_value |= (bits << bit_offset);
packed.At(Number<arr_index>{}) = old_value;
// if it crosses into the next block, shift the remainder
if constexpr(overhang > 0 && (arr_index + 1) < vector_size)
{
uint32_t next_value = packed.At(Number<arr_index + 1>{});
next_value |= (bits >> (num_bits_elem - overhang));
packed.At(Number<arr_index + 1>{}) = next_value;
}
});
return packed;
}
};
struct bf6x32_pk_t
{
// store 32 elements of bf6_t in an array of 6 uint32_t
using element_type = uint32_t;
using type = StaticallyIndexedArray_v2<element_type, 6>;
type data;
typedef int8_t test_vec_t __attribute__((ext_vector_type(32)));
bf6x32_pk_t() : data{type{}} {}
bf6x32_pk_t(type init) : data{init} {}
template <index_t I>
__host__ __device__ inline bf6_t unpack(Number<I>)
{
static_assert(I < 32, "Index out of range for 32 f6_t elements.");
constexpr int num_bits_elem = 6;
constexpr int num_bits_vec_elem = 32;
constexpr int vector_size = 6;
constexpr int bit_pos = I * num_bits_elem;
constexpr int arr_idx = bit_pos / num_bits_vec_elem;
constexpr int bit_offset = bit_pos % num_bits_vec_elem;
uint32_t bits = data.At(Number<arr_idx>{}) >> bit_offset;
constexpr int overhang = bit_offset + num_bits_elem - num_bits_vec_elem;
if constexpr(overhang > 0 && (arr_idx + 1) < vector_size)
{
bits |= (data.At(Number<arr_idx + 1>{}) & ((1u << overhang) - 1))
<< (num_bits_elem - overhang);
}
return static_cast<bf6_t>(bits & 0x3F);
}
__host__ __device__ inline type pack(const test_vec_t& x)
{
type packed{};
// for each of the 32 bf6_t values, place its 6 bits in the correct position
ck::static_for<0, 32, 1>{}([&](auto i) {
uint32_t bits = static_cast<uint32_t>(x[static_cast<int>(i)]) & 0x3F;
constexpr int num_bits_elem = 6;
constexpr int num_bits_vec_elem = 32;
constexpr int vector_size = 6;
constexpr int bit_pos = i * num_bits_elem;
constexpr int arr_index = bit_pos / num_bits_vec_elem;
constexpr int bit_offset = bit_pos % num_bits_vec_elem;
constexpr int overhang = bit_offset + num_bits_elem - num_bits_vec_elem;
uint32_t old_value = packed.At(Number<arr_index>{});
// insert bits into the current 32-bit block
old_value |= (bits << bit_offset);
packed.At(Number<arr_index>{}) = old_value;
// if it crosses into the next block, shift the remainder
if constexpr(overhang > 0 && (arr_index + 1) < vector_size)
{
uint32_t next_value = packed.At(Number<arr_index + 1>{});
next_value |= (bits >> (num_bits_elem - overhang));
packed.At(Number<arr_index + 1>{}) = next_value;
}
});
return packed;
}
};
// custom data type - pack int4 data
struct pk_i4_t
{
using type = int8_t;
type data;
__host__ __device__ constexpr pk_i4_t() : data{type{}} {}
__host__ __device__ constexpr pk_i4_t(type init) : data{init} {}
};
inline constexpr auto next_pow2(uint32_t x)
{
......@@ -19,14 +331,15 @@ inline constexpr auto next_pow2(uint32_t x)
}
// native types: double, float, _Float16, ushort, int32_t, int8_t, uint8_t, f8_fnuz_t, bf8_fnuz_t,
// native types: bool
// native types: bool, f4_t, f6_t, bf6_t
template <typename T>
inline constexpr bool is_native_type()
{
return is_same<T, double>::value || is_same<T, float>::value || is_same<T, half_t>::value ||
is_same<T, bhalf_t>::value || is_same<T, int32_t>::value || is_same<T, int8_t>::value ||
is_same<T, uint8_t>::value || is_same<T, f8_fnuz_t>::value ||
is_same<T, bf8_fnuz_t>::value || is_same<T, bool>::value;
is_same<T, bf8_fnuz_t>::value || is_same<T, bool>::value || is_same<T, f4_t>::value ||
is_same<T, f6_t>::value || is_same<T, bf6_t>::value;
}
// vector_type
......@@ -165,6 +478,13 @@ struct scalar_type<int4_t>
};
#endif
template <>
struct scalar_type<pk_i4_t>
{
using type = pk_i4_t;
static constexpr index_t vector_size = 1;
};
template <>
struct scalar_type<f8_fnuz_t>
{
......@@ -201,7 +521,7 @@ struct scalar_type<bool>
};
template <typename T>
struct vector_type<T, 1, typename std::enable_if_t<is_native_type<T>()>>
struct vector_type<T, 1, typename ck::enable_if_t<is_native_type<T>()>>
{
using d1_t = T;
using type = d1_t;
......@@ -237,7 +557,7 @@ struct vector_type<T, 1, typename std::enable_if_t<is_native_type<T>()>>
__device__ int static err = 0;
template <typename T>
struct vector_type<T, 2, typename std::enable_if_t<is_native_type<T>()>>
struct vector_type<T, 2, typename ck::enable_if_t<is_native_type<T>()>>
{
using d1_t = T;
typedef T d2_t __attribute__((ext_vector_type(2)));
......@@ -297,20 +617,20 @@ struct vector_type<T, 2, typename std::enable_if_t<is_native_type<T>()>>
};
template <typename T>
struct vector_type<T, 4, typename std::enable_if_t<is_native_type<T>()>>
struct vector_type<T, 3, typename ck::enable_if_t<is_native_type<T>()>>
{
using d1_t = T;
typedef T d2_t __attribute__((ext_vector_type(2)));
typedef T d4_t __attribute__((ext_vector_type(4)));
typedef T d3_t __attribute__((ext_vector_type(3)));
using type = d4_t;
using type = d3_t;
union
{
d4_t d4_;
StaticallyIndexedArray<d1_t, 4> d1x4_;
StaticallyIndexedArray<d2_t, 2> d2x2_;
StaticallyIndexedArray<d4_t, 1> d4x1_;
d3_t d3_;
StaticallyIndexedArray<d1_t, 3> d1x3_;
StaticallyIndexedArray<d2_t, 1> d2x1_;
StaticallyIndexedArray<d3_t, 1> d3x1_;
} data_;
__host__ __device__ constexpr vector_type() : data_{type{0}} {}
......@@ -320,20 +640,20 @@ struct vector_type<T, 4, typename std::enable_if_t<is_native_type<T>()>>
template <typename X>
__host__ __device__ constexpr const auto& AsType() const
{
static_assert(is_same<X, d1_t>::value || is_same<X, d2_t>::value || is_same<X, d4_t>::value,
static_assert(is_same<X, d1_t>::value || is_same<X, d2_t>::value || is_same<X, d3_t>::value,
"Something went wrong, please check src and dst types.");
if constexpr(is_same<X, d1_t>::value)
{
return data_.d1x4_;
return data_.d1x3_;
}
else if constexpr(is_same<X, d2_t>::value)
{
return data_.d2x2_;
return data_.d2x1_;
}
else if constexpr(is_same<X, d4_t>::value)
else if constexpr(is_same<X, d3_t>::value)
{
return data_.d4x1_;
return data_.d3x1_;
}
else
{
......@@ -344,20 +664,20 @@ struct vector_type<T, 4, typename std::enable_if_t<is_native_type<T>()>>
template <typename X>
__host__ __device__ constexpr auto& AsType()
{
static_assert(is_same<X, d1_t>::value || is_same<X, d2_t>::value || is_same<X, d4_t>::value,
static_assert(is_same<X, d1_t>::value || is_same<X, d2_t>::value || is_same<X, d3_t>::value,
"Something went wrong, please check src and dst types.");
if constexpr(is_same<X, d1_t>::value)
{
return data_.d1x4_;
return data_.d1x3_;
}
else if constexpr(is_same<X, d2_t>::value)
{
return data_.d2x2_;
return data_.d2x1_;
}
else if constexpr(is_same<X, d4_t>::value)
else if constexpr(is_same<X, d3_t>::value)
{
return data_.d4x1_;
return data_.d3x1_;
}
else
{
......@@ -367,22 +687,20 @@ struct vector_type<T, 4, typename std::enable_if_t<is_native_type<T>()>>
};
template <typename T>
struct vector_type<T, 8, typename std::enable_if_t<is_native_type<T>()>>
struct vector_type<T, 4, typename ck::enable_if_t<is_native_type<T>()>>
{
using d1_t = T;
typedef T d2_t __attribute__((ext_vector_type(2)));
typedef T d4_t __attribute__((ext_vector_type(4)));
typedef T d8_t __attribute__((ext_vector_type(8)));
using type = d8_t;
using type = d4_t;
union
{
d8_t d8_;
StaticallyIndexedArray<d1_t, 8> d1x8_;
StaticallyIndexedArray<d2_t, 4> d2x4_;
StaticallyIndexedArray<d4_t, 2> d4x2_;
StaticallyIndexedArray<d8_t, 1> d8x1_;
d4_t d4_;
StaticallyIndexedArray<d1_t, 4> d1x4_;
StaticallyIndexedArray<d2_t, 2> d2x2_;
StaticallyIndexedArray<d4_t, 1> d4x1_;
} data_;
__host__ __device__ constexpr vector_type() : data_{type{0}} {}
......@@ -392,25 +710,20 @@ struct vector_type<T, 8, typename std::enable_if_t<is_native_type<T>()>>
template <typename X>
__host__ __device__ constexpr const auto& AsType() const
{
static_assert(is_same<X, d1_t>::value || is_same<X, d2_t>::value ||
is_same<X, d4_t>::value || is_same<X, d8_t>::value,
static_assert(is_same<X, d1_t>::value || is_same<X, d2_t>::value || is_same<X, d4_t>::value,
"Something went wrong, please check src and dst types.");
if constexpr(is_same<X, d1_t>::value)
{
return data_.d1x8_;
return data_.d1x4_;
}
else if constexpr(is_same<X, d2_t>::value)
{
return data_.d2x4_;
return data_.d2x2_;
}
else if constexpr(is_same<X, d4_t>::value)
{
return data_.d4x2_;
}
else if constexpr(is_same<X, d8_t>::value)
{
return data_.d8x1_;
return data_.d4x1_;
}
else
{
......@@ -421,25 +734,20 @@ struct vector_type<T, 8, typename std::enable_if_t<is_native_type<T>()>>
template <typename X>
__host__ __device__ constexpr auto& AsType()
{
static_assert(is_same<X, d1_t>::value || is_same<X, d2_t>::value ||
is_same<X, d4_t>::value || is_same<X, d8_t>::value,
static_assert(is_same<X, d1_t>::value || is_same<X, d2_t>::value || is_same<X, d4_t>::value,
"Something went wrong, please check src and dst types.");
if constexpr(is_same<X, d1_t>::value)
{
return data_.d1x8_;
return data_.d1x4_;
}
else if constexpr(is_same<X, d2_t>::value)
{
return data_.d2x4_;
return data_.d2x2_;
}
else if constexpr(is_same<X, d4_t>::value)
{
return data_.d4x2_;
}
else if constexpr(is_same<X, d8_t>::value)
{
return data_.d8x1_;
return data_.d4x1_;
}
else
{
......@@ -449,24 +757,20 @@ struct vector_type<T, 8, typename std::enable_if_t<is_native_type<T>()>>
};
template <typename T>
struct vector_type<T, 16, typename std::enable_if_t<is_native_type<T>()>>
struct vector_type<T, 5, typename ck::enable_if_t<is_native_type<T>()>>
{
using d1_t = T;
typedef T d2_t __attribute__((ext_vector_type(2)));
typedef T d4_t __attribute__((ext_vector_type(4)));
typedef T d8_t __attribute__((ext_vector_type(8)));
typedef T d16_t __attribute__((ext_vector_type(16)));
typedef T d5_t __attribute__((ext_vector_type(5)));
using type = d16_t;
using type = d5_t;
union
{
d16_t d16_;
StaticallyIndexedArray<d1_t, 16> d1x16_;
StaticallyIndexedArray<d2_t, 8> d2x8_;
StaticallyIndexedArray<d4_t, 4> d4x4_;
StaticallyIndexedArray<d8_t, 2> d8x2_;
StaticallyIndexedArray<d16_t, 1> d16x1_;
d5_t d5_;
StaticallyIndexedArray<d1_t, 5> d1x5_;
StaticallyIndexedArray<d4_t, 1> d4x1_;
StaticallyIndexedArray<d5_t, 1> d5x1_;
} data_;
__host__ __device__ constexpr vector_type() : data_{type{0}} {}
......@@ -476,30 +780,20 @@ struct vector_type<T, 16, typename std::enable_if_t<is_native_type<T>()>>
template <typename X>
__host__ __device__ constexpr const auto& AsType() const
{
static_assert(is_same<X, d1_t>::value || is_same<X, d2_t>::value ||
is_same<X, d4_t>::value || is_same<X, d8_t>::value ||
is_same<X, d16_t>::value,
static_assert(is_same<X, d1_t>::value || is_same<X, d4_t>::value || is_same<X, d5_t>::value,
"Something went wrong, please check src and dst types.");
if constexpr(is_same<X, d1_t>::value)
{
return data_.d1x16_;
}
else if constexpr(is_same<X, d2_t>::value)
{
return data_.d2x8_;
return data_.d1x5_;
}
else if constexpr(is_same<X, d4_t>::value)
{
return data_.d4x4_;
}
else if constexpr(is_same<X, d8_t>::value)
{
return data_.d8x2_;
return data_.d4x1_;
}
else if constexpr(is_same<X, d16_t>::value)
else if constexpr(is_same<X, d5_t>::value)
{
return data_.d16x1_;
return data_.d5x1_;
}
else
{
......@@ -510,30 +804,20 @@ struct vector_type<T, 16, typename std::enable_if_t<is_native_type<T>()>>
template <typename X>
__host__ __device__ constexpr auto& AsType()
{
static_assert(is_same<X, d1_t>::value || is_same<X, d2_t>::value ||
is_same<X, d4_t>::value || is_same<X, d8_t>::value ||
is_same<X, d16_t>::value,
static_assert(is_same<X, d1_t>::value || is_same<X, d4_t>::value || is_same<X, d5_t>::value,
"Something went wrong, please check src and dst types.");
if constexpr(is_same<X, d1_t>::value)
{
return data_.d1x16_;
}
else if constexpr(is_same<X, d2_t>::value)
{
return data_.d2x8_;
return data_.d1x5_;
}
else if constexpr(is_same<X, d4_t>::value)
{
return data_.d4x4_;
}
else if constexpr(is_same<X, d8_t>::value)
{
return data_.d8x2_;
return data_.d4x1_;
}
else if constexpr(is_same<X, d16_t>::value)
else if constexpr(is_same<X, d5_t>::value)
{
return data_.d16x1_;
return data_.d5x1_;
}
else
{
......@@ -543,26 +827,22 @@ struct vector_type<T, 16, typename std::enable_if_t<is_native_type<T>()>>
};
template <typename T>
struct vector_type<T, 32, typename std::enable_if_t<is_native_type<T>()>>
struct vector_type<T, 7, typename ck::enable_if_t<is_native_type<T>()>>
{
using d1_t = T;
typedef T d2_t __attribute__((ext_vector_type(2)));
typedef T d4_t __attribute__((ext_vector_type(4)));
typedef T d8_t __attribute__((ext_vector_type(8)));
typedef T d16_t __attribute__((ext_vector_type(16)));
typedef T d32_t __attribute__((ext_vector_type(32)));
typedef T d7_t __attribute__((ext_vector_type(7)));
using type = d32_t;
using type = d7_t;
union
{
d32_t d32_;
StaticallyIndexedArray<d1_t, 32> d1x32_;
StaticallyIndexedArray<d2_t, 16> d2x16_;
StaticallyIndexedArray<d4_t, 8> d4x8_;
StaticallyIndexedArray<d8_t, 4> d8x4_;
StaticallyIndexedArray<d16_t, 2> d16x2_;
StaticallyIndexedArray<d32_t, 1> d32x1_;
d7_t d7_;
StaticallyIndexedArray<d1_t, 7> d1x7_;
StaticallyIndexedArray<d2_t, 3> d2x3_;
StaticallyIndexedArray<d4_t, 1> d4x1_;
StaticallyIndexedArray<d7_t, 1> d7x1_;
} data_;
__host__ __device__ constexpr vector_type() : data_{type{0}} {}
......@@ -573,33 +853,24 @@ struct vector_type<T, 32, typename std::enable_if_t<is_native_type<T>()>>
__host__ __device__ constexpr const auto& AsType() const
{
static_assert(is_same<X, d1_t>::value || is_same<X, d2_t>::value ||
is_same<X, d4_t>::value || is_same<X, d8_t>::value ||
is_same<X, d16_t>::value || is_same<X, d32_t>::value,
is_same<X, d4_t>::value || is_same<X, d7_t>::value,
"Something went wrong, please check src and dst types.");
if constexpr(is_same<X, d1_t>::value)
{
return data_.d1x32_;
return data_.d1x7_;
}
else if constexpr(is_same<X, d2_t>::value)
{
return data_.d2x16_;
return data_.d2x3_;
}
else if constexpr(is_same<X, d4_t>::value)
{
return data_.d4x8_;
}
else if constexpr(is_same<X, d8_t>::value)
{
return data_.d8x4_;
}
else if constexpr(is_same<X, d16_t>::value)
{
return data_.d16x2_;
return data_.d4x1_;
}
else if constexpr(is_same<X, d32_t>::value)
else if constexpr(is_same<X, d7_t>::value)
{
return data_.d32x1_;
return data_.d7x1_;
}
else
{
......@@ -611,33 +882,24 @@ struct vector_type<T, 32, typename std::enable_if_t<is_native_type<T>()>>
__host__ __device__ constexpr auto& AsType()
{
static_assert(is_same<X, d1_t>::value || is_same<X, d2_t>::value ||
is_same<X, d4_t>::value || is_same<X, d8_t>::value ||
is_same<X, d16_t>::value || is_same<X, d32_t>::value,
is_same<X, d4_t>::value || is_same<X, d7_t>::value,
"Something went wrong, please check src and dst types.");
if constexpr(is_same<X, d1_t>::value)
{
return data_.d1x32_;
return data_.d1x7_;
}
else if constexpr(is_same<X, d2_t>::value)
{
return data_.d2x16_;
return data_.d2x3_;
}
else if constexpr(is_same<X, d4_t>::value)
{
return data_.d4x8_;
}
else if constexpr(is_same<X, d8_t>::value)
{
return data_.d8x4_;
}
else if constexpr(is_same<X, d16_t>::value)
{
return data_.d16x2_;
return data_.d4x1_;
}
else if constexpr(is_same<X, d32_t>::value)
else if constexpr(is_same<X, d7_t>::value)
{
return data_.d32x1_;
return data_.d7x1_;
}
else
{
......@@ -647,28 +909,22 @@ struct vector_type<T, 32, typename std::enable_if_t<is_native_type<T>()>>
};
template <typename T>
struct vector_type<T, 64, typename std::enable_if_t<is_native_type<T>()>>
struct vector_type<T, 8, typename ck::enable_if_t<is_native_type<T>()>>
{
using d1_t = T;
typedef T d2_t __attribute__((ext_vector_type(2)));
typedef T d4_t __attribute__((ext_vector_type(4)));
typedef T d8_t __attribute__((ext_vector_type(8)));
typedef T d16_t __attribute__((ext_vector_type(16)));
typedef T d32_t __attribute__((ext_vector_type(32)));
typedef T d64_t __attribute__((ext_vector_type(64)));
using type = d64_t;
using type = d8_t;
union
{
d64_t d64_;
StaticallyIndexedArray<d1_t, 64> d1x64_;
StaticallyIndexedArray<d2_t, 32> d2x32_;
StaticallyIndexedArray<d4_t, 16> d4x16_;
StaticallyIndexedArray<d8_t, 8> d8x8_;
StaticallyIndexedArray<d16_t, 4> d16x4_;
StaticallyIndexedArray<d32_t, 2> d32x2_;
StaticallyIndexedArray<d64_t, 1> d64x1_;
d8_t d8_;
StaticallyIndexedArray<d1_t, 8> d1x8_;
StaticallyIndexedArray<d2_t, 4> d2x4_;
StaticallyIndexedArray<d4_t, 2> d4x2_;
StaticallyIndexedArray<d8_t, 1> d8x1_;
} data_;
__host__ __device__ constexpr vector_type() : data_{type{0}} {}
......@@ -679,34 +935,402 @@ struct vector_type<T, 64, typename std::enable_if_t<is_native_type<T>()>>
__host__ __device__ constexpr const auto& AsType() const
{
static_assert(is_same<X, d1_t>::value || is_same<X, d2_t>::value ||
is_same<X, d4_t>::value || is_same<X, d8_t>::value ||
is_same<X, d16_t>::value || is_same<X, d32_t>::value ||
is_same<X, d64_t>::value,
is_same<X, d4_t>::value || is_same<X, d8_t>::value,
"Something went wrong, please check src and dst types.");
if constexpr(is_same<X, d1_t>::value)
{
return data_.d1x64_;
return data_.d1x8_;
}
else if constexpr(is_same<X, d2_t>::value)
{
return data_.d2x32_;
return data_.d2x4_;
}
else if constexpr(is_same<X, d4_t>::value)
{
return data_.d4x16_;
return data_.d4x2_;
}
else if constexpr(is_same<X, d8_t>::value)
{
return data_.d8x8_;
}
else if constexpr(is_same<X, d16_t>::value)
{
return data_.d16x4_;
return data_.d8x1_;
}
else if constexpr(is_same<X, d32_t>::value)
else
{
return data_.d32x2_;
return err;
}
}
template <typename X>
__host__ __device__ constexpr auto& AsType()
{
static_assert(is_same<X, d1_t>::value || is_same<X, d2_t>::value ||
is_same<X, d4_t>::value || is_same<X, d8_t>::value,
"Something went wrong, please check src and dst types.");
if constexpr(is_same<X, d1_t>::value)
{
return data_.d1x8_;
}
else if constexpr(is_same<X, d2_t>::value)
{
return data_.d2x4_;
}
else if constexpr(is_same<X, d4_t>::value)
{
return data_.d4x2_;
}
else if constexpr(is_same<X, d8_t>::value)
{
return data_.d8x1_;
}
else
{
return err;
}
}
};
template <typename T>
struct vector_type<T, 13, typename ck::enable_if_t<is_native_type<T>()>>
{
using d1_t = T;
typedef T d4_t __attribute__((ext_vector_type(4)));
typedef T d8_t __attribute__((ext_vector_type(8)));
typedef T d13_t __attribute__((ext_vector_type(13)));
using type = d13_t;
union
{
d13_t d13_;
StaticallyIndexedArray<d1_t, 13> d1x13_;
StaticallyIndexedArray<d4_t, 3> d4x3_;
StaticallyIndexedArray<d8_t, 1> d8x1_;
StaticallyIndexedArray<d13_t, 1> d13x1_;
} data_;
__host__ __device__ constexpr vector_type() : data_{type{0}} {}
__host__ __device__ constexpr vector_type(type v) : data_{v} {}
template <typename X>
__host__ __device__ constexpr const auto& AsType() const
{
static_assert(is_same<X, d1_t>::value || is_same<X, d4_t>::value ||
is_same<X, d8_t>::value || is_same<X, d13_t>::value,
"Something went wrong, please check src and dst types.");
if constexpr(is_same<X, d1_t>::value)
{
return data_.d1x13_;
}
else if constexpr(is_same<X, d4_t>::value)
{
return data_.d4x3_;
}
else if constexpr(is_same<X, d8_t>::value)
{
return data_.d8x1_;
}
else if constexpr(is_same<X, d13_t>::value)
{
return data_.d13x1_;
}
else
{
return err;
}
}
template <typename X>
__host__ __device__ constexpr auto& AsType()
{
static_assert(is_same<X, d1_t>::value || is_same<X, d4_t>::value ||
is_same<X, d8_t>::value || is_same<X, d13_t>::value,
"Something went wrong, please check src and dst types.");
if constexpr(is_same<X, d1_t>::value)
{
return data_.d1x13_;
}
else if constexpr(is_same<X, d4_t>::value)
{
return data_.d4x3_;
}
else if constexpr(is_same<X, d8_t>::value)
{
return data_.d8x1_;
}
else if constexpr(is_same<X, d13_t>::value)
{
return data_.d13x1_;
}
else
{
return err;
}
}
};
template <typename T>
struct vector_type<T, 16, typename ck::enable_if_t<is_native_type<T>()>>
{
using d1_t = T;
typedef T d2_t __attribute__((ext_vector_type(2)));
typedef T d4_t __attribute__((ext_vector_type(4)));
typedef T d8_t __attribute__((ext_vector_type(8)));
typedef T d16_t __attribute__((ext_vector_type(16)));
using type = d16_t;
union
{
d16_t d16_;
StaticallyIndexedArray<d1_t, 16> d1x16_;
StaticallyIndexedArray<d2_t, 8> d2x8_;
StaticallyIndexedArray<d4_t, 4> d4x4_;
StaticallyIndexedArray<d8_t, 2> d8x2_;
StaticallyIndexedArray<d16_t, 1> d16x1_;
} data_;
__host__ __device__ constexpr vector_type() : data_{type{0}} {}
__host__ __device__ constexpr vector_type(type v) : data_{v} {}
template <typename X>
__host__ __device__ constexpr const auto& AsType() const
{
static_assert(is_same<X, d1_t>::value || is_same<X, d2_t>::value ||
is_same<X, d4_t>::value || is_same<X, d8_t>::value ||
is_same<X, d16_t>::value,
"Something went wrong, please check src and dst types.");
if constexpr(is_same<X, d1_t>::value)
{
return data_.d1x16_;
}
else if constexpr(is_same<X, d2_t>::value)
{
return data_.d2x8_;
}
else if constexpr(is_same<X, d4_t>::value)
{
return data_.d4x4_;
}
else if constexpr(is_same<X, d8_t>::value)
{
return data_.d8x2_;
}
else if constexpr(is_same<X, d16_t>::value)
{
return data_.d16x1_;
}
else
{
return err;
}
}
template <typename X>
__host__ __device__ constexpr auto& AsType()
{
static_assert(is_same<X, d1_t>::value || is_same<X, d2_t>::value ||
is_same<X, d4_t>::value || is_same<X, d8_t>::value ||
is_same<X, d16_t>::value,
"Something went wrong, please check src and dst types.");
if constexpr(is_same<X, d1_t>::value)
{
return data_.d1x16_;
}
else if constexpr(is_same<X, d2_t>::value)
{
return data_.d2x8_;
}
else if constexpr(is_same<X, d4_t>::value)
{
return data_.d4x4_;
}
else if constexpr(is_same<X, d8_t>::value)
{
return data_.d8x2_;
}
else if constexpr(is_same<X, d16_t>::value)
{
return data_.d16x1_;
}
else
{
return err;
}
}
};
template <typename T>
struct vector_type<T, 32, typename ck::enable_if_t<is_native_type<T>()>>
{
using d1_t = T;
typedef T d2_t __attribute__((ext_vector_type(2)));
typedef T d4_t __attribute__((ext_vector_type(4)));
typedef T d8_t __attribute__((ext_vector_type(8)));
typedef T d16_t __attribute__((ext_vector_type(16)));
typedef T d32_t __attribute__((ext_vector_type(32)));
using type = d32_t;
union
{
d32_t d32_;
StaticallyIndexedArray<d1_t, 32> d1x32_;
StaticallyIndexedArray<d2_t, 16> d2x16_;
StaticallyIndexedArray<d4_t, 8> d4x8_;
StaticallyIndexedArray<d8_t, 4> d8x4_;
StaticallyIndexedArray<d16_t, 2> d16x2_;
StaticallyIndexedArray<d32_t, 1> d32x1_;
} data_;
__host__ __device__ constexpr vector_type() : data_{type{0}} {}
__host__ __device__ constexpr vector_type(type v) : data_{v} {}
template <typename X>
__host__ __device__ constexpr const auto& AsType() const
{
static_assert(is_same<X, d1_t>::value || is_same<X, d2_t>::value ||
is_same<X, d4_t>::value || is_same<X, d8_t>::value ||
is_same<X, d16_t>::value || is_same<X, d32_t>::value,
"Something went wrong, please check src and dst types.");
if constexpr(is_same<X, d1_t>::value)
{
return data_.d1x32_;
}
else if constexpr(is_same<X, d2_t>::value)
{
return data_.d2x16_;
}
else if constexpr(is_same<X, d4_t>::value)
{
return data_.d4x8_;
}
else if constexpr(is_same<X, d8_t>::value)
{
return data_.d8x4_;
}
else if constexpr(is_same<X, d16_t>::value)
{
return data_.d16x2_;
}
else if constexpr(is_same<X, d32_t>::value)
{
return data_.d32x1_;
}
else
{
return err;
}
}
template <typename X>
__host__ __device__ constexpr auto& AsType()
{
static_assert(is_same<X, d1_t>::value || is_same<X, d2_t>::value ||
is_same<X, d4_t>::value || is_same<X, d8_t>::value ||
is_same<X, d16_t>::value || is_same<X, d32_t>::value,
"Something went wrong, please check src and dst types.");
if constexpr(is_same<X, d1_t>::value)
{
return data_.d1x32_;
}
else if constexpr(is_same<X, d2_t>::value)
{
return data_.d2x16_;
}
else if constexpr(is_same<X, d4_t>::value)
{
return data_.d4x8_;
}
else if constexpr(is_same<X, d8_t>::value)
{
return data_.d8x4_;
}
else if constexpr(is_same<X, d16_t>::value)
{
return data_.d16x2_;
}
else if constexpr(is_same<X, d32_t>::value)
{
return data_.d32x1_;
}
else
{
return err;
}
}
};
template <typename T>
struct vector_type<T, 64, typename ck::enable_if_t<is_native_type<T>()>>
{
using d1_t = T;
typedef T d2_t __attribute__((ext_vector_type(2)));
typedef T d4_t __attribute__((ext_vector_type(4)));
typedef T d8_t __attribute__((ext_vector_type(8)));
typedef T d16_t __attribute__((ext_vector_type(16)));
typedef T d32_t __attribute__((ext_vector_type(32)));
typedef T d64_t __attribute__((ext_vector_type(64)));
using type = d64_t;
union
{
d64_t d64_;
StaticallyIndexedArray<d1_t, 64> d1x64_;
StaticallyIndexedArray<d2_t, 32> d2x32_;
StaticallyIndexedArray<d4_t, 16> d4x16_;
StaticallyIndexedArray<d8_t, 8> d8x8_;
StaticallyIndexedArray<d16_t, 4> d16x4_;
StaticallyIndexedArray<d32_t, 2> d32x2_;
StaticallyIndexedArray<d64_t, 1> d64x1_;
} data_;
__host__ __device__ constexpr vector_type() : data_{type{0}} {}
__host__ __device__ constexpr vector_type(type v) : data_{v} {}
template <typename X>
__host__ __device__ constexpr const auto& AsType() const
{
static_assert(is_same<X, d1_t>::value || is_same<X, d2_t>::value ||
is_same<X, d4_t>::value || is_same<X, d8_t>::value ||
is_same<X, d16_t>::value || is_same<X, d32_t>::value ||
is_same<X, d64_t>::value,
"Something went wrong, please check src and dst types.");
if constexpr(is_same<X, d1_t>::value)
{
return data_.d1x64_;
}
else if constexpr(is_same<X, d2_t>::value)
{
return data_.d2x32_;
}
else if constexpr(is_same<X, d4_t>::value)
{
return data_.d4x16_;
}
else if constexpr(is_same<X, d8_t>::value)
{
return data_.d8x8_;
}
else if constexpr(is_same<X, d16_t>::value)
{
return data_.d16x4_;
}
else if constexpr(is_same<X, d32_t>::value)
{
return data_.d32x2_;
}
else if constexpr(is_same<X, d64_t>::value)
{
......@@ -763,7 +1387,7 @@ struct vector_type<T, 64, typename std::enable_if_t<is_native_type<T>()>>
};
template <typename T>
struct vector_type<T, 128, typename std::enable_if_t<is_native_type<T>()>>
struct vector_type<T, 128, typename ck::enable_if_t<is_native_type<T>()>>
{
using d1_t = T;
typedef T d2_t __attribute__((ext_vector_type(2)));
......@@ -889,7 +1513,7 @@ struct vector_type<T, 128, typename std::enable_if_t<is_native_type<T>()>>
};
template <typename T>
struct vector_type<T, 256, typename std::enable_if_t<is_native_type<T>()>>
struct vector_type<T, 256, typename ck::enable_if_t<is_native_type<T>()>>
{
using d1_t = T;
typedef T d2_t __attribute__((ext_vector_type(2)));
......@@ -1038,17 +1662,48 @@ struct nnvb_data_t_selector<f8_ocp_t>
{
using type = f8_ocp_t::data_type;
};
template <>
struct nnvb_data_t_selector<bf8_ocp_t>
{
using type = bf8_ocp_t::data_type;
};
template <>
struct nnvb_data_t_selector<f6x16_pk_t>
{
using type = f6x16_pk_t::type;
};
template <>
struct nnvb_data_t_selector<f6x32_pk_t>
{
using type = f6x32_pk_t::type;
};
template <>
struct nnvb_data_t_selector<bf6x16_pk_t>
{
using type = bf6x16_pk_t::type;
};
template <>
struct nnvb_data_t_selector<bf6x32_pk_t>
{
using type = bf6x32_pk_t::type;
};
template <>
struct nnvb_data_t_selector<pk_i4_t>
{
using type = pk_i4_t::type;
};
template <typename T, index_t N>
struct non_native_vector_base<
T,
N,
std::enable_if_t<sizeof(T) == 1 || sizeof(T) == 2 || sizeof(T) == 4 || sizeof(T) == 8>>
ck::enable_if_t<sizeof(T) == 1 || sizeof(T) == 2 || sizeof(T) == 4 || sizeof(T) == 8>>
{
using data_t = typename nnvb_data_t_selector<T>::type; // select data_t based on the size of T
static_assert(sizeof(T) == sizeof(data_t), "non_native_vector_base storage size mismatch");
......@@ -1119,27 +1774,84 @@ struct non_native_vector_base<
}
}
template <typename X>
__host__ __device__ constexpr auto& AsType()
template <typename X>
__host__ __device__ constexpr auto& AsType()
{
static_assert(is_same_v<X, data_t> || is_same_v<X, T> || is_same_v<X, data_v>,
"Something went wrong, please check src and dst types.");
if constexpr(is_same_v<X, data_t>)
{
return data_.dxN;
}
else if constexpr(is_same_v<X, T>)
{
return data_.dTxN;
}
else if constexpr(is_same_v<X, data_v>)
{
return data_.dNx1;
}
else
{
return err;
}
}
};
// implementation for f6x16 and f6x32
template <typename T, index_t N>
struct non_native_vector_base<T, N, std::enable_if_t<sizeof(T) == 12 || sizeof(T) == 24>>
{
using data_t =
typename nnvb_data_t_selector<T>::type; // select data_t based on declared base type
using element_t = typename T::element_type; // select element_t based on declared element type
static_assert(sizeof(T) == sizeof(data_t), "non_native_vector_base storage size mismatch");
static constexpr size_t size_factor =
sizeof(data_t) / sizeof(element_t); // f6x16: 12/4 = 3, f6x32: 24/4 = 6
using data_v = element_t __attribute__((ext_vector_type(N * size_factor)));
using type = non_native_vector_base<T, N>;
union alignas(next_pow2(N * sizeof(T)))
{
data_v dN; // storage vector;
StaticallyIndexedArray<data_t, N> dxN;
StaticallyIndexedArray<T, N> dTxN;
StaticallyIndexedArray<data_v, 1> dNx1;
} data_;
__host__ __device__ constexpr non_native_vector_base(data_t a)
: data_{data_v(a.At(Number<0>{}))}
{
static_assert(is_same_v<X, data_t> || is_same_v<X, T> || is_same_v<X, data_v>,
"Something went wrong, please check src and dst types.");
}
__host__ __device__ constexpr non_native_vector_base(T f)
: non_native_vector_base(bit_cast<data_t>(f))
{
}
__host__ __device__ constexpr non_native_vector_base() : non_native_vector_base(T{}){};
__host__ __device__ constexpr non_native_vector_base(data_v v) : data_{v} {}
if constexpr(is_same_v<X, data_t>)
__host__ __device__ constexpr operator data_v() const { return data_.dN; }
__host__ __device__ constexpr operator data_t() const
{
if constexpr(N == 1)
{
return data_.dxN;
return data_.dxN[Number<0>{}];
}
else if constexpr(is_same_v<X, T>)
else
{
return data_.dTxN;
return data_.dxN; // XXX this should cause an error
}
else if constexpr(is_same_v<X, data_v>)
}
__host__ __device__ constexpr operator T() const
{
if constexpr(N == 1)
{
return data_.dNx1;
return data_.dTxN[Number<0>{}];
}
else
{
return err;
return data_.dTxN; // XXX this should cause an error
}
}
};
......@@ -1163,9 +1875,17 @@ struct scalar_type<non_native_vector_base<bf8_ocp_t, N>>
static constexpr index_t vector_size = N;
};
template <index_t N>
struct scalar_type<non_native_vector_base<pk_i4_t, N>>
{
using type = typename non_native_vector_base<pk_i4_t, N>::data_t;
static constexpr index_t vector_size = N;
};
// non-native vector_type implementation
template <typename T>
struct vector_type<T, 1, typename std::enable_if_t<!is_native_type<T>()>>
struct vector_type<T, 1, typename ck::enable_if_t<!is_native_type<T>()>>
{
using d1_t = T;
using d1_nnv_t = non_native_vector_base<T, 1>;
......@@ -1216,7 +1936,7 @@ struct vector_type<T, 1, typename std::enable_if_t<!is_native_type<T>()>>
};
template <typename T>
struct vector_type<T, 2, typename std::enable_if_t<!is_native_type<T>()>>
struct vector_type<T, 2, typename ck::enable_if_t<!is_native_type<T>()>>
{
using d1_t = T;
using d1_nnv_t = non_native_vector_base<T, 1>;
......@@ -1279,7 +1999,7 @@ struct vector_type<T, 2, typename std::enable_if_t<!is_native_type<T>()>>
};
template <typename T>
struct vector_type<T, 4, typename std::enable_if_t<!is_native_type<T>()>>
struct vector_type<T, 4, typename ck::enable_if_t<!is_native_type<T>()>>
{
using d1_t = T;
using d1_nnv_t = non_native_vector_base<T, 1>;
......@@ -1352,7 +2072,7 @@ struct vector_type<T, 4, typename std::enable_if_t<!is_native_type<T>()>>
};
template <typename T>
struct vector_type<T, 8, typename std::enable_if_t<!is_native_type<T>()>>
struct vector_type<T, 8, typename ck::enable_if_t<!is_native_type<T>()>>
{
using d1_t = T;
using d1_nnv_t = non_native_vector_base<T, 1>;
......@@ -1437,7 +2157,7 @@ struct vector_type<T, 8, typename std::enable_if_t<!is_native_type<T>()>>
};
template <typename T>
struct vector_type<T, 16, typename std::enable_if_t<!is_native_type<T>()>>
struct vector_type<T, 16, typename ck::enable_if_t<!is_native_type<T>()>>
{
using d1_t = T;
using d1_nnv_t = non_native_vector_base<T, 1>;
......@@ -1532,7 +2252,7 @@ struct vector_type<T, 16, typename std::enable_if_t<!is_native_type<T>()>>
};
template <typename T>
struct vector_type<T, 32, typename std::enable_if_t<!is_native_type<T>()>>
struct vector_type<T, 32, typename ck::enable_if_t<!is_native_type<T>()>>
{
using d1_t = T;
using d2_t = non_native_vector_base<T, 2>;
......@@ -1636,7 +2356,7 @@ struct vector_type<T, 32, typename std::enable_if_t<!is_native_type<T>()>>
};
template <typename T>
struct vector_type<T, 64, typename std::enable_if_t<!is_native_type<T>()>>
struct vector_type<T, 64, typename ck::enable_if_t<!is_native_type<T>()>>
{
using d1_t = T;
using d2_t = non_native_vector_base<T, 2>;
......@@ -1751,140 +2471,371 @@ struct vector_type<T, 64, typename std::enable_if_t<!is_native_type<T>()>>
}
};
using int64_t = long;
using int64_t = long;
// fp64
using double2_t = typename vector_type<double, 2>::type;
using double4_t = typename vector_type<double, 4>::type;
// fp32
using float2_t = typename vector_type<float, 2>::type;
using float4_t = typename vector_type<float, 4>::type;
using float8_t = typename vector_type<float, 8>::type;
using float16_t = typename vector_type<float, 16>::type;
using float32_t = typename vector_type<float, 32>::type;
using float64_t = typename vector_type<float, 64>::type;
// fp16
using half2_t = typename vector_type<half_t, 2>::type;
using half4_t = typename vector_type<half_t, 4>::type;
using half8_t = typename vector_type<half_t, 8>::type;
using half16_t = typename vector_type<half_t, 16>::type;
using half32_t = typename vector_type<half_t, 32>::type;
using half64_t = typename vector_type<half_t, 64>::type;
// bfp16
using bhalf2_t = typename vector_type<bhalf_t, 2>::type;
using bhalf4_t = typename vector_type<bhalf_t, 4>::type;
using bhalf8_t = typename vector_type<bhalf_t, 8>::type;
using bhalf16_t = typename vector_type<bhalf_t, 16>::type;
using bhalf32_t = typename vector_type<bhalf_t, 32>::type;
using bhalf64_t = typename vector_type<bhalf_t, 64>::type;
// i32
using int32x2_t = typename vector_type<int32_t, 2>::type;
using int32x4_t = typename vector_type<int32_t, 4>::type;
using int32x8_t = typename vector_type<int32_t, 8>::type;
using int32x16_t = typename vector_type<int32_t, 16>::type;
using int32x32_t = typename vector_type<int32_t, 32>::type;
using int32x64_t = typename vector_type<int32_t, 64>::type;
// i8
using int8x2_t = typename vector_type<int8_t, 2>::type;
using int8x4_t = typename vector_type<int8_t, 4>::type;
using int8x8_t = typename vector_type<int8_t, 8>::type;
using int8x16_t = typename vector_type<int8_t, 16>::type;
using int8x32_t = typename vector_type<int8_t, 32>::type;
using int8x64_t = typename vector_type<int8_t, 64>::type;
// f8
using f8x2_fnuz_t = typename vector_type<f8_fnuz_t, 2>::type;
using f8x4_fnuz_t = typename vector_type<f8_fnuz_t, 4>::type;
using f8x8_fnuz_t = typename vector_type<f8_fnuz_t, 8>::type;
using f8x16_fnuz_t = typename vector_type<f8_fnuz_t, 16>::type;
using f8x32_fnuz_t = typename vector_type<f8_fnuz_t, 32>::type;
using f8x64_fnuz_t = typename vector_type<f8_fnuz_t, 64>::type;
// bf8
using bf8x2_fnuz_t = typename vector_type<bf8_fnuz_t, 2>::type;
using bf8x4_fnuz_t = typename vector_type<bf8_fnuz_t, 4>::type;
using bf8x8_fnuz_t = typename vector_type<bf8_fnuz_t, 8>::type;
using bf8x16_fnuz_t = typename vector_type<bf8_fnuz_t, 16>::type;
using bf8x32_fnuz_t = typename vector_type<bf8_fnuz_t, 32>::type;
using bf8x64_fnuz_t = typename vector_type<bf8_fnuz_t, 64>::type;
// f8
using f8x2_ocp_t = typename vector_type<f8_ocp_t, 2>::type;
using f8x4_ocp_t = typename vector_type<f8_ocp_t, 4>::type;
using f8x8_ocp_t = typename vector_type<f8_ocp_t, 8>::type;
using f8x16_ocp_t = typename vector_type<f8_ocp_t, 16>::type;
using f8x32_ocp_t = typename vector_type<f8_ocp_t, 32>::type;
using f8x64_ocp_t = typename vector_type<f8_ocp_t, 64>::type;
// bf8
using bf8x2_ocp_t = typename vector_type<bf8_ocp_t, 2>::type;
using bf8x4_ocp_t = typename vector_type<bf8_ocp_t, 4>::type;
using bf8x8_ocp_t = typename vector_type<bf8_ocp_t, 8>::type;
using bf8x16_ocp_t = typename vector_type<bf8_ocp_t, 16>::type;
using bf8x32_ocp_t = typename vector_type<bf8_ocp_t, 32>::type;
using bf8x64_ocp_t = typename vector_type<bf8_ocp_t, 64>::type;
#if CK_FP8_TYPE_OCP
// f8
using f8x2_t = f8x2_ocp_t;
using f8x4_t = f8x4_ocp_t;
using f8x8_t = f8x8_ocp_t;
using f8x16_t = f8x16_ocp_t;
using f8x32_t = f8x32_ocp_t;
using f8x64_t = f8x64_ocp_t;
// bf8
using bf8x2_t = bf8x2_ocp_t;
using bf8x4_t = bf8x4_ocp_t;
using bf8x8_t = bf8x8_ocp_t;
using bf8x16_t = bf8x16_ocp_t;
using bf8x32_t = bf8x32_ocp_t;
using bf8x64_t = bf8x64_ocp_t;
#elif CK_FP8_TYPE_FNUZ
// f8
using f8x2_t = f8x2_fnuz_t;
using f8x4_t = f8x4_fnuz_t;
using f8x8_t = f8x8_fnuz_t;
using f8x16_t = f8x16_fnuz_t;
using f8x32_t = f8x32_fnuz_t;
using f8x64_t = f8x64_fnuz_t;
// bf8
using bf8x2_t = bf8x2_fnuz_t;
using bf8x4_t = bf8x4_fnuz_t;
using bf8x8_t = bf8x8_fnuz_t;
using bf8x16_t = bf8x16_fnuz_t;
using bf8x32_t = bf8x32_fnuz_t;
using bf8x64_t = bf8x64_fnuz_t;
#endif
// u8
using uint8x2_t = typename vector_type<uint8_t, 2>::type;
using uint8x4_t = typename vector_type<uint8_t, 4>::type;
using uint8x8_t = typename vector_type<uint8_t, 8>::type;
using uint8x16_t = typename vector_type<uint8_t, 16>::type;
using uint8x32_t = typename vector_type<uint8_t, 32>::type;
using uint8x64_t = typename vector_type<uint8_t, 64>::type;
// f4
using f4x2_t = typename vector_type<f4x2_pk_t, 1>::type;
using f4x4_t = typename vector_type<f4x2_pk_t, 2>::type;
using f4x8_t = typename vector_type<f4x2_pk_t, 4>::type;
using f4x16_t = typename vector_type<f4x2_pk_t, 8>::type;
using f4x32_t = typename vector_type<f4x2_pk_t, 16>::type;
using f4x64_t = typename vector_type<f4x2_pk_t, 32>::type;
// f6
using f6x16_t = typename vector_type<f6x16_pk_t, 1>::type;
using f6x32_t = typename vector_type<f6x32_pk_t, 1>::type;
// bf6
using bf6x16_t = typename vector_type<bf6x16_pk_t, 1>::type;
using bf6x32_t = typename vector_type<bf6x32_pk_t, 1>::type;
// pack int4
using pk_i4x2_t = typename vector_type<pk_i4_t, 2>::type;
using pk_i4x4_t = typename vector_type<pk_i4_t, 4>::type;
using pk_i4x8_t = typename vector_type<pk_i4_t, 8>::type;
#ifdef CK_CODE_GEN_RTC
template <typename T>
struct NumericLimits;
template <>
struct NumericLimits<int32_t>
{
__host__ __device__ static constexpr int32_t Lowest() noexcept { return -2147483647 - 1; }
__host__ __device__ static constexpr int32_t Min() noexcept { return -2147483647 - 1; }
__host__ __device__ static constexpr int32_t Max() noexcept { return 2147483647; }
__host__ __device__ static constexpr int32_t Infinity() noexcept { return 0; }
__host__ __device__ static constexpr int32_t QuietNaN() { return 0; }
};
template <>
struct NumericLimits<int16_t>
{
__host__ __device__ static constexpr int16_t Lowest() noexcept { return -32768; }
__host__ __device__ static constexpr int16_t Min() noexcept { return -32768; }
__host__ __device__ static constexpr int16_t Max() noexcept { return 32767; }
__host__ __device__ static constexpr int16_t Infinity() noexcept { return 0; }
__host__ __device__ static constexpr int16_t QuietNaN() { return 0; }
};
template <>
struct NumericLimits<int8_t>
{
__host__ __device__ static constexpr int8_t Lowest() noexcept { return -128; }
__host__ __device__ static constexpr int8_t Min() noexcept { return -128; }
__host__ __device__ static constexpr int8_t Max() noexcept { return 127; }
__host__ __device__ static constexpr int8_t Infinity() noexcept { return 0; }
__host__ __device__ static constexpr int8_t QuietNaN() { return 0; }
};
template <>
struct NumericLimits<uint32_t>
{
__host__ __device__ static constexpr uint32_t Lowest() noexcept { return 0; }
__host__ __device__ static constexpr uint32_t Min() noexcept { return 0; }
__host__ __device__ static constexpr uint32_t Max() noexcept { return 4294967295U; }
__host__ __device__ static constexpr uint32_t Infinity() noexcept { return 0; }
__host__ __device__ static constexpr uint32_t QuietNaN() { return 0; }
};
template <>
struct NumericLimits<uint16_t>
{
__host__ __device__ static constexpr uint16_t Lowest() noexcept { return 0; }
__host__ __device__ static constexpr uint16_t Min() noexcept { return 0; }
__host__ __device__ static constexpr uint16_t Max() noexcept { return 65535U; }
__host__ __device__ static constexpr uint16_t Infinity() noexcept { return 0; }
__host__ __device__ static constexpr uint16_t QuietNaN() { return 0; }
};
template <>
struct NumericLimits<float>
{
static constexpr unsigned int binary_min = 0x00800000;
static constexpr unsigned int binary_max = 0x7F7FFFFF;
static constexpr unsigned int binary_lowest = 0xFF7FFFFF;
static constexpr unsigned int binary_qnan = 0xFFC00001;
static constexpr unsigned int binary_inf = 0x7F8000000;
__host__ __device__ static constexpr float Min() { return bit_cast<float>(binary_min); }
__host__ __device__ static constexpr float Max() { return bit_cast<float>(binary_max); }
__host__ __device__ static constexpr float Lowest() { return bit_cast<float>(binary_lowest); }
__host__ __device__ static constexpr float QuietNaN() { return bit_cast<float>(binary_qnan); }
__host__ __device__ static constexpr float Infinity() { return bit_cast<float>(binary_inf); }
};
template <>
struct NumericLimits<half_t>
{
static constexpr unsigned short binary_min = 0x0400;
static constexpr unsigned short binary_max = 0x7BFF;
static constexpr unsigned short binary_lowest = 0xFBFF;
static constexpr unsigned short binary_qnan = 0x7FFF;
__host__ __device__ static constexpr half_t Min() { return bit_cast<half_t>(binary_min); }
__host__ __device__ static constexpr half_t Max() { return bit_cast<half_t>(binary_max); }
__host__ __device__ static constexpr half_t Lowest() { return bit_cast<half_t>(binary_lowest); }
__host__ __device__ static constexpr half_t QuietNaN() { return bit_cast<half_t>(binary_qnan); }
};
#ifdef CK_EXPERIMENTAL_BIT_INT_EXTENSION_INT4
template <>
struct NumericLimits<int4_t>
{
__host__ __device__ static constexpr int4_t Min() { return int4_t(-8); }
__host__ __device__ static constexpr int4_t Max() { return int4_t(7); }
__host__ __device__ static constexpr int4_t Lowest() { return int4_t(-8); }
};
#endif // CK_EXPERIMENTAL_BIT_INT_EXTENSION_INT4
template <>
struct NumericLimits<f8_fnuz_t>
{
// negative zero nan mode with exp bias = 8
static constexpr uint8_t binary_min = 0x08; // 0b00001000
static constexpr uint8_t binary_max = 0x7F; // 0b01111111
static constexpr uint8_t binary_lowest = 0xFF; // 0b11111111
static constexpr uint8_t binary_qnan = 0x80; // 0b10000000
// ieee mode with exp bias = 7
// static constexpr uint8_t binary_min = 0x08; // 0b00001000
// static constexpr uint8_t binary_max = 0x77; // 0b01110111
// static constexpr uint8_t binary_lowest = 0xF7; // 0b11110111
// static constexpr uint8_t binary_qnan = 0x79; // any sign, exp=1111, mant!=0
__host__ __device__ static constexpr f8_fnuz_t Min() { return f8_fnuz_t(binary_min); }
// fp64
using double2_t = typename vector_type<double, 2>::type;
using double4_t = typename vector_type<double, 4>::type;
__host__ __device__ static constexpr f8_fnuz_t Max() { return f8_fnuz_t(binary_max); }
// fp32
using float2_t = typename vector_type<float, 2>::type;
using float4_t = typename vector_type<float, 4>::type;
using float8_t = typename vector_type<float, 8>::type;
using float16_t = typename vector_type<float, 16>::type;
using float32_t = typename vector_type<float, 32>::type;
using float64_t = typename vector_type<float, 64>::type;
__host__ __device__ static constexpr f8_fnuz_t Lowest() { return f8_fnuz_t(binary_lowest); }
// fp16
using half2_t = typename vector_type<half_t, 2>::type;
using half4_t = typename vector_type<half_t, 4>::type;
using half8_t = typename vector_type<half_t, 8>::type;
using half16_t = typename vector_type<half_t, 16>::type;
using half32_t = typename vector_type<half_t, 32>::type;
using half64_t = typename vector_type<half_t, 64>::type;
__host__ __device__ static constexpr f8_fnuz_t QuietNaN() { return f8_fnuz_t(binary_qnan); }
};
// bfp16
using bhalf2_t = typename vector_type<bhalf_t, 2>::type;
using bhalf4_t = typename vector_type<bhalf_t, 4>::type;
using bhalf8_t = typename vector_type<bhalf_t, 8>::type;
using bhalf16_t = typename vector_type<bhalf_t, 16>::type;
using bhalf32_t = typename vector_type<bhalf_t, 32>::type;
using bhalf64_t = typename vector_type<bhalf_t, 64>::type;
template <>
struct NumericLimits<bf8_fnuz_t>
{
// negative zero nan mode with exp bias = 16
static constexpr uint8_t binary_min = 0x04; // 0b00000100
static constexpr uint8_t binary_max = 0x7F; // 0b01111111
static constexpr uint8_t binary_lowest = 0xFF; // 0b11111111
static constexpr uint8_t binary_qnan = 0x80; // 0b10000000
// ieee mode with exp bias = 15
// static constexpr uint8_t binary_min = 0x04; // 0b00000100
// static constexpr uint8_t binary_max = 0x7B; // 0b01111011
// static constexpr uint8_t binary_lowest = 0xFB; // 0b11111011
// static constexpr uint8_t binary_qnan = 0x79; // any sign, exp=1111, mant!=
// i32
using int32x2_t = typename vector_type<int32_t, 2>::type;
using int32x4_t = typename vector_type<int32_t, 4>::type;
using int32x8_t = typename vector_type<int32_t, 8>::type;
using int32x16_t = typename vector_type<int32_t, 16>::type;
using int32x32_t = typename vector_type<int32_t, 32>::type;
using int32x64_t = typename vector_type<int32_t, 64>::type;
__host__ __device__ static constexpr bf8_fnuz_t Min() { return bf8_fnuz_t(binary_min); }
// i8
using int8x2_t = typename vector_type<int8_t, 2>::type;
using int8x4_t = typename vector_type<int8_t, 4>::type;
using int8x8_t = typename vector_type<int8_t, 8>::type;
using int8x16_t = typename vector_type<int8_t, 16>::type;
using int8x32_t = typename vector_type<int8_t, 32>::type;
using int8x64_t = typename vector_type<int8_t, 64>::type;
__host__ __device__ static constexpr bf8_fnuz_t Max() { return bf8_fnuz_t(binary_max); }
// f8
using f8x2_fnuz_t = typename vector_type<f8_fnuz_t, 2>::type;
using f8x4_fnuz_t = typename vector_type<f8_fnuz_t, 4>::type;
using f8x8_fnuz_t = typename vector_type<f8_fnuz_t, 8>::type;
using f8x16_fnuz_t = typename vector_type<f8_fnuz_t, 16>::type;
using f8x32_fnuz_t = typename vector_type<f8_fnuz_t, 32>::type;
using f8x64_fnuz_t = typename vector_type<f8_fnuz_t, 64>::type;
__host__ __device__ static constexpr bf8_fnuz_t Lowest() { return bf8_fnuz_t(binary_lowest); }
// bf8
using bf8x2_fnuz_t = typename vector_type<bf8_fnuz_t, 2>::type;
using bf8x4_fnuz_t = typename vector_type<bf8_fnuz_t, 4>::type;
using bf8x8_fnuz_t = typename vector_type<bf8_fnuz_t, 8>::type;
using bf8x16_fnuz_t = typename vector_type<bf8_fnuz_t, 16>::type;
using bf8x32_fnuz_t = typename vector_type<bf8_fnuz_t, 32>::type;
using bf8x64_fnuz_t = typename vector_type<bf8_fnuz_t, 64>::type;
__host__ __device__ static constexpr bf8_fnuz_t QuietNaN() { return bf8_fnuz_t(binary_qnan); }
};
// f8
using f8x2_ocp_t = typename vector_type<f8_ocp_t, 2>::type;
using f8x4_ocp_t = typename vector_type<f8_ocp_t, 4>::type;
using f8x8_ocp_t = typename vector_type<f8_ocp_t, 8>::type;
using f8x16_ocp_t = typename vector_type<f8_ocp_t, 16>::type;
using f8x32_ocp_t = typename vector_type<f8_ocp_t, 32>::type;
using f8x64_ocp_t = typename vector_type<f8_ocp_t, 64>::type;
template <>
struct NumericLimits<f8_ocp_t>
{
static constexpr uint8_t binary_min = 0x08; // 0b00001000 = 2^-6
static constexpr uint8_t binary_max = 0x7E; // 0b01111110 = 448
static constexpr uint8_t binary_lowest = 0xFE; // 0b11111110 = -448
static constexpr uint8_t binary_qnan = 0x7F; // 0b01111111
// bf8
using bf8x2_ocp_t = typename vector_type<bf8_ocp_t, 2>::type;
using bf8x4_ocp_t = typename vector_type<bf8_ocp_t, 4>::type;
using bf8x8_ocp_t = typename vector_type<bf8_ocp_t, 8>::type;
using bf8x16_ocp_t = typename vector_type<bf8_ocp_t, 16>::type;
using bf8x32_ocp_t = typename vector_type<bf8_ocp_t, 32>::type;
using bf8x64_ocp_t = typename vector_type<bf8_ocp_t, 64>::type;
__host__ __device__ static constexpr f8_ocp_t Min() { return bit_cast<f8_ocp_t>(binary_min); }
#if CK_FP8_TYPE_OCP
// f8
using f8x2_t = f8x2_ocp_t;
using f8x4_t = f8x4_ocp_t;
using f8x8_t = f8x8_ocp_t;
using f8x16_t = f8x16_ocp_t;
using f8x32_t = f8x32_ocp_t;
using f8x64_t = f8x64_ocp_t;
__host__ __device__ static constexpr f8_ocp_t Max() { return bit_cast<f8_ocp_t>(binary_max); }
// bf8
using bf8x2_t = bf8x2_ocp_t;
using bf8x4_t = bf8x4_ocp_t;
using bf8x8_t = bf8x8_ocp_t;
using bf8x16_t = bf8x16_ocp_t;
using bf8x32_t = bf8x32_ocp_t;
using bf8x64_t = bf8x64_ocp_t;
#elif CK_FP8_TYPE_FNUZ
// f8
using f8x2_t = f8x2_fnuz_t;
using f8x4_t = f8x4_fnuz_t;
using f8x8_t = f8x8_fnuz_t;
using f8x16_t = f8x16_fnuz_t;
using f8x32_t = f8x32_fnuz_t;
using f8x64_t = f8x64_fnuz_t;
__host__ __device__ static constexpr f8_ocp_t Lowest()
{
return bit_cast<f8_ocp_t>(binary_lowest);
}
// bf8
using bf8x2_t = bf8x2_fnuz_t;
using bf8x4_t = bf8x4_fnuz_t;
using bf8x8_t = bf8x8_fnuz_t;
using bf8x16_t = bf8x16_fnuz_t;
using bf8x32_t = bf8x32_fnuz_t;
using bf8x64_t = bf8x64_fnuz_t;
#endif
__host__ __device__ static constexpr f8_ocp_t QuietNaN()
{
return bit_cast<f8_ocp_t>(binary_qnan);
}
};
// u8
using uint8x2_t = typename vector_type<uint8_t, 2>::type;
using uint8x4_t = typename vector_type<uint8_t, 4>::type;
using uint8x8_t = typename vector_type<uint8_t, 8>::type;
using uint8x16_t = typename vector_type<uint8_t, 16>::type;
using uint8x32_t = typename vector_type<uint8_t, 32>::type;
using uint8x64_t = typename vector_type<uint8_t, 64>::type;
template <>
struct NumericLimits<bf8_ocp_t>
{
static constexpr uint8_t binary_min = 0x04; // 0b00000100 = 2^-14
static constexpr uint8_t binary_max = 0x7B; // 0b01111011 = 57344
static constexpr uint8_t binary_lowest = 0xFB; // 0b11111011 = -57344
static constexpr uint8_t binary_qnan = 0x7D; // 0b01111101
__host__ __device__ static constexpr bf8_ocp_t Min() { return bit_cast<bf8_ocp_t>(binary_min); }
__host__ __device__ static constexpr bf8_ocp_t Max() { return bit_cast<bf8_ocp_t>(binary_max); }
__host__ __device__ static constexpr bf8_ocp_t Lowest()
{
return bit_cast<bf8_ocp_t>(binary_lowest);
}
__host__ __device__ static constexpr bf8_ocp_t QuietNaN()
{
return bit_cast<bf8_ocp_t>(binary_qnan);
}
};
#else
template <typename T>
struct NumericLimits
{
__host__ __device__ static constexpr T Min() { return std::numeric_limits<T>::min(); }
__host__ __device__ static constexpr T Max() { return std::numeric_limits<T>::max(); }
__host__ __device__ static constexpr T Lowest() { return std::numeric_limits<T>::lowest(); }
__host__ __device__ static constexpr T QuietNaN()
{
return std::numeric_limits<T>::quiet_NaN();
}
__host__ __device__ static constexpr T Infinity() { return std::numeric_limits<T>::infinity(); }
};
......@@ -2008,6 +2959,119 @@ struct NumericLimits<bf8_ocp_t>
return bit_cast<bf8_ocp_t>(binary_qnan);
}
};
#endif
template <>
struct NumericLimits<f4_t>
{
static constexpr uint8_t binary_min_normal = 0x2; // 0b0010
static constexpr uint8_t binary_max_normal = 0x7; // 0b0111
static constexpr uint8_t binary_lowest_normal = 0xF; // 0b1111
static constexpr uint8_t binary_min_subnorm = 0x1; // 0b0001
static constexpr uint8_t binary_max_subnorm = 0x1; // 0b0001
static constexpr float data_max_normal_number = 6;
static constexpr float data_min_subnormal_number = 0.5;
__host__ __device__ static constexpr f4_t Min() { return f4_t(binary_min_normal); }
__host__ __device__ static constexpr f4_t Max() { return f4_t(binary_max_normal); }
__host__ __device__ static constexpr f4_t Lowest() { return f4_t(binary_lowest_normal); }
__host__ __device__ static constexpr f4_t MinSubnorm() { return f4_t(binary_min_subnorm); }
__host__ __device__ static constexpr f4_t MaxSubnorm() { return f4_t(binary_max_subnorm); }
__host__ __device__ static constexpr float DataMaxNorm() { return data_max_normal_number; }
__host__ __device__ static constexpr float DataMinSubnorm()
{
return data_min_subnormal_number;
}
};
template <>
struct NumericLimits<f6_t>
{
static constexpr uint8_t binary_min_normal = 0x08; // 0b001000
static constexpr uint8_t binary_max_normal = 0x1F; // 0b011111
static constexpr uint8_t binary_lowest_normal = 0x3F; // 0b111111
static constexpr uint8_t binary_min_subnorm = 0x01; // 0b000001
static constexpr uint8_t binary_max_subnorm = 0x07; // 0b000111
static constexpr float data_max_normal_number = 7.5;
static constexpr float data_min_subnormal_number = 0.125;
__host__ __device__ static constexpr f6_t Min() { return f6_t(binary_min_normal & 0b111111); }
__host__ __device__ static constexpr f6_t Max() { return f6_t(binary_max_normal & 0b111111); }
__host__ __device__ static constexpr f6_t Lowest()
{
return f6_t(binary_lowest_normal & 0b111111);
}
__host__ __device__ static constexpr f6_t MinSubnorm()
{
return f6_t(binary_min_subnorm & 0b111111);
}
__host__ __device__ static constexpr f6_t MaxSubnorm()
{
return f6_t(binary_max_subnorm & 0b111111);
}
__host__ __device__ static constexpr float DataMaxNorm() { return data_max_normal_number; }
__host__ __device__ static constexpr float DataMinSubnorm()
{
return data_min_subnormal_number;
}
};
template <>
struct NumericLimits<bf6_t>
{
static constexpr uint8_t binary_min_normal = 0x08; // 0b001000
static constexpr uint8_t binary_max_normal = 0x1F; // 0b011111
static constexpr uint8_t binary_lowest_normal = 0x3F; // 0b111111
static constexpr uint8_t binary_min_subnorm = 0x01; // 0b000001
static constexpr uint8_t binary_max_subnorm = 0x03; // 0b000011
static constexpr float data_max_normal_number = 28;
static constexpr float data_min_subnormal_number = 0.0625;
__host__ __device__ static constexpr bf6_t Min() { return bf6_t(binary_min_normal); }
__host__ __device__ static constexpr bf6_t Max() { return bf6_t(binary_max_normal); }
__host__ __device__ static constexpr bf6_t Lowest() { return bf6_t(binary_lowest_normal); }
__host__ __device__ static constexpr bf6_t MinSubnorm() { return bf6_t(binary_min_subnorm); }
__host__ __device__ static constexpr bf6_t MaxSubnorm() { return bf6_t(binary_max_subnorm); }
__host__ __device__ static constexpr float DataMaxNorm() { return data_max_normal_number; }
__host__ __device__ static constexpr float DataMinSubnorm()
{
return data_min_subnormal_number;
}
};
template <>
struct NumericLimits<e8m0_bexp_t>
{
static constexpr e8m0_bexp_t binary_min = 0x00; // 0b00000000
static constexpr e8m0_bexp_t binary_max = 0xFE; // 0b11111110
static constexpr e8m0_bexp_t binary_qnan = 0xFF; // 0b11111111
static constexpr e8m0_bexp_t binary_1 = 0x7F; // 0b01111111
static constexpr e8m0_bexp_t binary_2 = 0x80; // 0b10000000
static constexpr e8m0_bexp_t binary_3 = 0x82; // 0b10000010
static constexpr e8m0_bexp_t binary_135 = 0x87; // 0b10000111
static constexpr e8m0_bexp_t binary_142 = 0x8E; // 0b10001110
__host__ __device__ static constexpr e8m0_bexp_t Min() { return e8m0_bexp_t(binary_min); }
__host__ __device__ static constexpr e8m0_bexp_t Max() { return e8m0_bexp_t(binary_max); }
__host__ __device__ static constexpr e8m0_bexp_t QuietNaN() { return e8m0_bexp_t(binary_qnan); }
__host__ __device__ static constexpr e8m0_bexp_t Binary_1() { return e8m0_bexp_t(binary_1); }
__host__ __device__ static constexpr e8m0_bexp_t Binary_2() { return e8m0_bexp_t(binary_2); }
__host__ __device__ static constexpr e8m0_bexp_t Binary_3() { return e8m0_bexp_t(binary_3); }
__host__ __device__ static constexpr e8m0_bexp_t Binary_135()
{
return e8m0_bexp_t(binary_135);
}
__host__ __device__ static constexpr e8m0_bexp_t Binary_142()
{
return e8m0_bexp_t(binary_142);
}
};
template <typename T>
struct NumericUtils
......@@ -2028,6 +3092,7 @@ struct NumericUtils<float>
static constexpr uint32_t NegInf = 0xFF800000;
static constexpr uint32_t NaN = 0x7F800001;
static constexpr uint32_t Neg0 = 0x80000000;
static constexpr bool has_inf = true;
using bitwise_type = uint32_t;
};
......@@ -2045,9 +3110,19 @@ struct NumericUtils<half_t>
static constexpr uint32_t NegInf = 0xFC00;
static constexpr uint32_t NaN = 0x7C01;
static constexpr uint32_t Neg0 = 0x8000;
static constexpr bool has_inf = true;
using bitwise_type = uint16_t;
};
template <>
struct NumericUtils<bhalf_t>
{
static constexpr int exp = 8;
static constexpr int mant = 7;
static constexpr int bias = 128; // negative zero nan mode
// static constexpr int bias = 127; // ieee mode
};
template <>
struct NumericUtils<f8_fnuz_t>
{
......@@ -2055,6 +3130,7 @@ struct NumericUtils<f8_fnuz_t>
static constexpr int mant = 3;
static constexpr int bias = 8; // negative zero nan mode
// static constexpr int bias = 7; // ieee mode
static constexpr bool has_inf = false;
};
template <>
......@@ -2064,6 +3140,7 @@ struct NumericUtils<bf8_fnuz_t>
static constexpr int mant = 2;
static constexpr int bias = 16; // negative zero nan mode
// static constexpr int bias = 15; // ieee mode
static constexpr bool has_inf = false;
};
template <>
struct NumericUtils<f8_ocp_t>
......@@ -2082,11 +3159,109 @@ struct NumericUtils<bf8_ocp_t>
};
template <>
struct NumericUtils<bhalf_t>
struct NumericUtils<f4_t>
{
static constexpr int exp = 2;
static constexpr int mant = 1;
static constexpr int bias = 1;
static constexpr uint32_t sr_shift = 10;
static constexpr int unbiased_exp_min = 0;
static constexpr int unbiased_exp_max = 2;
static constexpr int biased_exp_min = 1;
static constexpr int biased_exp_max = 3;
static constexpr uint8_t positive_zero_mask = 0b0000;
static constexpr uint8_t negative_zero_mask = 0b1000;
static constexpr uint8_t one_mask = 0b0010;
static constexpr uint8_t set_sign_mask = 0b0111;
static constexpr uint8_t data_max_positive_normal_mask = 0b0111;
static constexpr uint8_t data_max_negative_normal_mask = 0b1111;
static constexpr uint8_t data_max_positive_subnormal_mask = 0b0001;
static constexpr uint8_t data_max_negative_subnormal_mask = 0b1001;
static constexpr bool has_inf = false;
using bitwise_type = uint8_t;
};
template <>
struct NumericUtils<f6_t>
{
static constexpr int exp = 2;
static constexpr int mant = 3;
static constexpr int bias = 1;
static constexpr uint32_t sr_shift = 12;
static constexpr int unbiased_exp_min = 0;
static constexpr int unbiased_exp_max = 2;
static constexpr int biased_exp_min = 1;
static constexpr int biased_exp_max = 3;
static constexpr uint8_t positive_zero_mask = 0b000000;
static constexpr uint8_t negative_zero_mask = 0b100000;
static constexpr uint8_t set_sign_mask = 0b011111;
static constexpr uint8_t data_max_positive_normal_mask = 0b011111;
static constexpr uint8_t data_max_negative_normal_mask = 0b111111;
static constexpr uint8_t data_max_positive_subnormal_mask = 0b000111;
static constexpr uint8_t data_max_negative_subnormal_mask = 0b100111;
static constexpr bool has_inf = false;
static constexpr bool has_nan = false;
static constexpr bool has_zero = true;
using bitwise_type = uint8_t;
};
template <>
struct NumericUtils<bf6_t>
{
static constexpr int exp = 3;
static constexpr int mant = 2;
static constexpr int bias = 3;
static constexpr uint32_t sr_shift = 11;
static constexpr int unbiased_exp_min = -2;
static constexpr int unbiased_exp_max = 4;
static constexpr int biased_exp_min = 1;
static constexpr int biased_exp_max = 7;
static constexpr uint8_t positive_zero_mask = 0b000000;
static constexpr uint8_t negative_zero_mask = 0b100000;
static constexpr uint8_t set_sign_mask = 0b011111;
static constexpr uint8_t data_max_positive_normal_mask = 0b011111;
static constexpr uint8_t data_max_negative_normal_mask = 0b111111;
static constexpr uint8_t data_max_positive_subnormal_mask = 0b000011;
static constexpr uint8_t data_max_negative_subnormal_mask = 0b100011;
static constexpr bool has_inf = false;
static constexpr bool has_nan = false;
static constexpr bool has_zero = true;
using bitwise_type = uint8_t;
};
template <>
struct NumericUtils<e8m0_bexp_t>
{
static constexpr int exp = 8;
static constexpr int mant = 7;
static constexpr int bias = 128; // negative zero nan mode
// static constexpr int bias = 127; // ieee mode
static constexpr int mant = 0;
static constexpr int bias = 127;
static constexpr int unbiased_exp_min = -127;
static constexpr int unbiased_exp_max = 127;
static constexpr int biased_exp_min = 0;
static constexpr int biased_exp_max = 254;
using bitwise_type = uint8_t;
};
} // namespace ck
include/ck/utility/debug.hpp
View file @ 7572a691
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
#ifndef UTILITY_DEBUG_HPP
#define UTILITY_DEBUG_HPP
#include "type.hpp"
namespace ck {
namespace debug {
......
include/ck/utility/dynamic_buffer.hpp
View file @ 7572a691
......@@ -29,6 +29,13 @@ struct DynamicBuffer
ElementSpaceSize element_space_size_;
T invalid_element_value_ = T{0};
static constexpr index_t PackedSize = []() {
if constexpr(is_same_v<remove_cvref_t<T>, pk_i4_t>)
return 2;
else
return 1;
}();
__host__ __device__ constexpr DynamicBuffer(T* p_data, ElementSpaceSize element_space_size)
: p_data_{p_data}, element_space_size_{element_space_size}
{
......@@ -54,7 +61,8 @@ struct DynamicBuffer
template <typename X,
typename enable_if<is_same<typename scalar_type<remove_cvref_t<X>>::type,
typename scalar_type<remove_cvref_t<T>>::type>::value,
typename scalar_type<remove_cvref_t<T>>::type>::value ||
!is_native_type<X>(),
bool>::type = false>
__host__ __device__ constexpr auto Get(index_t i, bool is_valid_element) const
{
......@@ -81,14 +89,18 @@ struct DynamicBuffer
return amd_buffer_load_invalid_element_return_zero<remove_cvref_t<T>,
t_per_x,
coherence>(
p_data_, i, is_valid_element, element_space_size_);
p_data_, i, is_valid_element, element_space_size_ / PackedSize);
}
else
{
return amd_buffer_load_invalid_element_return_customized_value<remove_cvref_t<T>,
t_per_x,
coherence>(
p_data_, i, is_valid_element, element_space_size_, invalid_element_value_);
p_data_,
i,
is_valid_element,
element_space_size_ / PackedSize,
invalid_element_value_);
}
}
else
......@@ -190,12 +202,13 @@ struct DynamicBuffer
dst_buf.p_data_,
dst_offset,
is_valid_element,
element_space_size_);
element_space_size_ / PackedSize);
}
template <typename X,
typename enable_if<is_same<typename scalar_type<remove_cvref_t<X>>::type,
typename scalar_type<remove_cvref_t<T>>::type>::value,
typename scalar_type<remove_cvref_t<T>>::type>::value ||
!is_native_type<X>(),
bool>::type = false>
__host__ __device__ void Set(index_t i, bool is_valid_element, const X& x)
{
......@@ -224,7 +237,7 @@ struct DynamicBuffer
constexpr index_t t_per_x = scalar_per_x_vector / scalar_per_t_vector;
amd_buffer_store<remove_cvref_t<T>, t_per_x, coherence>(
x, p_data_, i, is_valid_element, element_space_size_);
x, p_data_, i, is_valid_element, element_space_size_ / PackedSize);
}
else if constexpr(GetAddressSpace() == AddressSpaceEnum::Lds &&
is_same<typename scalar_type<remove_cvref_t<T>>::type, int8_t>::value &&
......@@ -376,7 +389,7 @@ struct DynamicBuffer
constexpr index_t t_per_x = scalar_per_x_vector / scalar_per_t_vector;
amd_buffer_atomic_add<remove_cvref_t<T>, t_per_x>(
x, p_data_, i, is_valid_element, element_space_size_);
x, p_data_, i, is_valid_element, element_space_size_ / PackedSize);
}
else
{
......@@ -415,7 +428,7 @@ struct DynamicBuffer
constexpr index_t t_per_x = scalar_per_x_vector / scalar_per_t_vector;
amd_buffer_atomic_max<remove_cvref_t<T>, t_per_x>(
x, p_data_, i, is_valid_element, element_space_size_);
x, p_data_, i, is_valid_element, element_space_size_ / PackedSize);
}
else if(is_valid_element)
{
......
include/ck/utility/e8m0.hpp 0 → 100644
View file @ 7572a691
// SPDX-License-Identifier: MIT
// Copyright (c) 2024-2025, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include "ck/utility/type.hpp"
namespace ck {
/**
* @brief Unsigned representation of a conventional biased Float32 exponent.
*
* bias = 127;
*
* E8M0_1 = 0b01111111; => 2^(127-127) = 1
* E8M0_2 = 0b10000000; => 2^(128-127) = 2^1 = 2
* E8M0_3 = 0b10000010; => 2^(130-127) = 2^3 = 8
* E8M0_135 = 0b10000111; => 2^(135-127) = 2^8 = 256
* E8M0_142 = 0b10001110; => 2^(142-127) = 2^15 = 32768
* E8M0_MIN = 0b00000000; => 2^-127
* E8M0_MAX = 0b11111110; => 2^127
* E8M0_NAN = 0b11111111; => NaN
*/
struct e8m0_bexp_t
{
using type = uint8_t;
type data;
constexpr static type bias = 127;
constexpr static type nan_mask = 0xFF;
__host__ __device__ constexpr e8m0_bexp_t() : data{type{}} {}
__host__ __device__ constexpr e8m0_bexp_t(type init) : data{init} {}
__host__ __device__ constexpr e8m0_bexp_t(int init) : data{static_cast<type>(init & nan_mask)}
{
}
__host__ __device__ explicit constexpr e8m0_bexp_t(float scale)
: data{static_cast<type>((bit_cast<uint32_t>(scale) & (nan_mask << 23)) >> 23)}
{
}
__host__ __device__ explicit constexpr operator float() const
{
if(data == nan_mask || data == 0)
{
uint32_t bits = data << 1;
bits |= 1;
bits <<= 22;
return bit_cast<float>(bits);
}
else
{
uint32_t bits = data << 23;
return bit_cast<float>(bits);
}
}
__host__ __device__ constexpr bool operator==(const e8m0_bexp_t& other) const
{
// strict IEEE compliance for NaN
return data == other.data && data != nan_mask;
}
__host__ __device__ constexpr bool is_nan() const { return data == nan_mask; }
};
namespace utils {
template <typename T>
__host__ __device__ inline int get_exponent_value(T x);
template <>
__host__ __device__ inline int get_exponent_value<e8m0_bexp_t>(e8m0_bexp_t x)
{
return x.data;
}
} // namespace utils
} // namespace ck
include/ck/utility/enable_if.hpp
View file @ 7572a691
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
namespace ck {
#ifndef CK_CODE_GEN_RTC
template <bool B, typename T = void>
using enable_if = std::enable_if<B, T>;
template <bool B, typename T = void>
using enable_if_t = typename std::enable_if<B, T>::type;
#else
template <bool B, class T = void>
struct enable_if
{
};
template <class T>
struct enable_if<true, T>
{
using type = T;
};
template <bool B, class T = void>
using enable_if_t = typename enable_if<B, T>::type;
#endif
} // namespace ck
include/ck/utility/env.hpp
View file @ 7572a691
// SPDX-License-Identifier: MIT
// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2024-2025, Advanced Micro Devices, Inc. All rights reserved.
#ifndef CK_CODE_GEN_RTC
#pragma once
#include <cstdlib>
......@@ -183,3 +184,4 @@ void UpdateEnvVar(EnvVar, const std::string_view& val)
}
} // namespace ck
#endif
include/ck/utility/functional.hpp
View file @ 7572a691
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
......@@ -120,11 +120,11 @@ constexpr auto conditional_expr(X&& x, Y&& y)
{
if constexpr(predicate)
{
return std::forward<X>(x);
return ck::forward<X>(x);
}
else
{
return std::forward<Y>(y);
return ck::forward<Y>(y);
}
}
......
include/ck/utility/functional4.hpp
View file @ 7572a691
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
#ifndef CK_FUNCTIONAL4_HPP
#define CK_FUNCTIONAL4_HPP
......@@ -21,7 +21,7 @@ struct unpack_impl<Sequence<Is...>>
template <typename F, typename X>
__host__ __device__ constexpr auto operator()(F&& f, X&& x) const
{
return std::forward<F>(f)(std::forward<X>(x).At(Number<Is>{})...);
return ck::forward<F>(f)(ck::forward<X>(x).At(Number<Is>{})...);
}
};
......@@ -35,8 +35,8 @@ struct unpack2_impl<Sequence<Is...>, Sequence<Js...>>
template <typename F, typename X, typename Y>
__host__ __device__ constexpr auto operator()(F&& f, X&& x, Y&& y) const
{
return std::forward<F>(f)(std::forward<X>(x).At(Number<Is>{})...,
std::forward<Y>(y).At(Number<Js>{})...);
return ck::forward<F>(f)(ck::forward<X>(x).At(Number<Is>{})...,
ck::forward<Y>(y).At(Number<Js>{})...);
}
};
......@@ -47,7 +47,7 @@ __host__ __device__ constexpr auto unpack(F&& f, X&& x)
{
using X_ = remove_reference_t<X>;
return detail::unpack_impl<typename arithmetic_sequence_gen<0, X_::Size(), 1>::type>{}(
std::forward<F>(f), std::forward<X>(x));
ck::forward<F>(f), ck::forward<X>(x));
}
// TODO: properly implement unpack that takes any number of containers
......@@ -58,7 +58,7 @@ __host__ __device__ constexpr auto unpack2(F&& f, X&& x, Y&& y)
using Y_ = remove_reference_t<Y>;
return detail::unpack2_impl<typename arithmetic_sequence_gen<0, X_::Size(), 1>::type,
typename arithmetic_sequence_gen<0, Y_::Size(), 1>::type>{}(
std::forward<F>(f), std::forward<X>(x), std::forward<Y>(y));
ck::forward<F>(f), ck::forward<X>(x), ck::forward<Y>(y));
}
} // namespace ck
......
include/ck/utility/integral_constant.hpp
View file @ 7572a691
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
......@@ -48,4 +48,9 @@ __host__ __device__ constexpr auto operator%(integral_constant<TX, X>, integral_
return integral_constant<decltype(X % Y), X % Y>{};
}
template <bool B>
using bool_constant = integral_constant<bool, B>;
using true_type = bool_constant<true>;
using false_type = bool_constant<false>;
} // namespace ck
include/ck/utility/is_detected.hpp
View file @ 7572a691
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include "ck/utility/integral_constant.hpp"
namespace ck {
namespace detail {
template <class Default, class AlwaysVoid, template <class...> class Op, class... Args>
struct detector
{
using value_t = std::false_type;
using value_t = integral_constant<bool, false>;
using type = Default;
};
template <class Default, template <class...> class Op, class... Args>
struct detector<Default, std::void_t<Op<Args...>>, Op, Args...>
struct detector<Default, ck::void_t<Op<Args...>>, Op, Args...>
{
using value_t = std::true_type;
using value_t = integral_constant<bool, true>;
using type = Op<Args...>;
};
} // namespace detail
......@@ -32,12 +34,12 @@ template <template <class...> class Op, class... Args>
using is_detected = typename detail::detector<nonesuch, void, Op, Args...>::value_t;
template <typename T>
using is_pack2_invocable_t = decltype(std::declval<T&>().is_pack2_invocable);
using is_pack2_invocable_t = decltype(ck::declval<T&>().is_pack2_invocable);
template <typename T>
using is_pack4_invocable_t = decltype(std::declval<T&>().is_pack4_invocable);
using is_pack4_invocable_t = decltype(ck::declval<T&>().is_pack4_invocable);
template <typename T>
using is_pack8_invocable_t = decltype(std::declval<T&>().is_pack8_invocable);
using is_pack8_invocable_t = decltype(ck::declval<T&>().is_pack8_invocable);
} // namespace ck
include/ck/utility/loop_scheduler.hpp
View file @ 7572a691
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
#ifndef CK_CODE_GEN_RTC
#include <ostream>
#endif
#pragma once
......@@ -25,6 +28,7 @@ constexpr LoopScheduler make_default_loop_scheduler()
} // namespace ck
#ifndef CK_CODE_GEN_RTC
inline std::ostream& operator<<(std::ostream& os, const ck::LoopScheduler& s)
{
switch(s)
......@@ -35,3 +39,4 @@ inline std::ostream& operator<<(std::ostream& os, const ck::LoopScheduler& s)
}
return os;
}
#endif
include/ck/utility/magic_division.hpp
View file @ 7572a691
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
......@@ -9,6 +9,10 @@
#include "type.hpp"
#include "tuple.hpp"
#ifdef CK_CODE_GEN_RTC
#define INT32_MAX 2147483647
#endif
namespace ck {
// magic number division
......
include/ck/utility/math_v2.hpp
View file @ 7572a691
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
......@@ -19,7 +19,7 @@ extern "C" __device__ float __ocml_native_recip_f32(float);
#endif
// math functions for the host, some are implemented by calling C++ std functions
#ifndef CK_CODE_GEN_RTC
static inline __host__ float abs(float x) { return std::abs(x); };
static inline __host__ double abs(double x) { return std::abs(x); };
......@@ -459,7 +459,7 @@ inline __host__ double expm1<double>(double x)
{
return std::expm1(x);
}
#endif
// math functions for the HIP kernel, some are implemented by calling hip builtin functions
static inline __device__ float abs(float x) { return ::abs(x); };
......
include/ck/utility/mxf4_utils.hpp 0 → 100644
View file @ 7572a691
// SPDX-License-Identifier: MIT
// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include "ck/utility/data_type.hpp"
#include "ck/utility/mxfp_utils.hpp"
namespace ck::utils {
template <>
__host__ __device__ inline bool is_nan<f4_t>(e8m0_bexp_t const scale,
f4_t const dataBytes [[maybe_unused]])
{
// no need to check for data as it does not have NaN representation
return scale == NumericLimits<e8m0_bexp_t>::QuietNaN();
}
// no infinity representation in ocp_e2m1_mxfp4 will always return false
template <>
__host__ __device__ inline bool is_inf<f4_t>(e8m0_bexp_t const scale [[maybe_unused]],
f4_t const data [[maybe_unused]])
{
// no inf representation for ocp_e2m1_mxfp4
return false;
}
template <>
__host__ __device__ inline bool is_zero<f4_t>(e8m0_bexp_t const scale, f4_t const data)
{
if(is_nan<f4_t>(scale, data))
return false;
// no need to check for scale as it does not have a 0 representation
f4_t result = (data & 0b00001111) & NumericUtils<f4_t>::set_sign_mask;
return result == 0b0;
}
template <>
__host__ __device__ inline float to_float<f4_t>(e8m0_bexp_t const scale, f4_t const data)
{
if(is_nan<f4_t>(scale, data))
return std::numeric_limits<float>::quiet_NaN();
if(is_zero<f4_t>(scale, data))
return 0.0f;
f4_t prepared_data = data & 0b00001111;
int scale_exp = get_exponent_value<e8m0_bexp_t>(scale);
return convert_to_float<f4_t>(prepared_data, scale_exp);
}
template <>
__host__ __device__ inline f4_t sat_convert_to_type<f4_t>(float value)
{
cvt t;
t.value_float = value;
uint32_t sign = t.value_bitwise >> 31;
if(std::isnan(value))
{
return sign ? NumericUtils<f4_t>::data_max_negative_normal_mask
: NumericUtils<f4_t>::data_max_positive_normal_mask;
}
if(std::abs(value) > NumericLimits<f4_t>::Max()) // covers inf case as well
return sign ? NumericUtils<f4_t>::data_max_negative_normal_mask
: NumericUtils<f4_t>::data_max_positive_normal_mask;
f4_t res = convert_to_type<f4_t>(value);
if(std::abs(to_float<f4_t>(NumericLimits<e8m0_bexp_t>::Binary_1(), res)) <
NumericLimits<f4_t>::DataMinSubnorm())
return value < 0 ? NumericUtils<f4_t>::negative_zero_mask
: NumericUtils<f4_t>::positive_zero_mask;
return res;
}
template <>
__host__ __device__ inline f4_t sat_convert_to_type_sr<f4_t>(float value, uint32_t seed)
{
cvt t;
t.value_float = value;
uint32_t sign = t.value_bitwise >> 31;
if(std::isnan(value))
return sign ? NumericUtils<f4_t>::data_max_negative_normal_mask
: NumericUtils<f4_t>::data_max_positive_normal_mask;
if(std::abs(value) > NumericLimits<f4_t>::Max()) // covers inf case as well
return sign ? NumericUtils<f4_t>::data_max_negative_normal_mask
: NumericUtils<f4_t>::data_max_positive_normal_mask;
f4_t res = convert_to_type_sr<f4_t>(value, seed);
if(std::abs(to_float<f4_t>(NumericLimits<e8m0_bexp_t>::Binary_1(), res)) <
NumericLimits<f4_t>::DataMinSubnorm())
return value < 0 ? NumericUtils<f4_t>::negative_zero_mask
: NumericUtils<f4_t>::positive_zero_mask;
return res;
}
} // namespace ck::utils
include/ck/utility/mxf6_utils.hpp 0 → 100644
View file @ 7572a691
// SPDX-License-Identifier: MIT
// Copyright (c) 2024-2025, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include "ck/utility/data_type.hpp"
#include "ck/utility/mxfp_utils.hpp"
namespace ck::utils {
/**
* @brief Checks if an f6_t value is NaN based on the provided scale.
*
* For f6_t data, NaN cannot be represented directly. Instead, this function
* determines NaN by checking if the scale is set to a quiet NaN.
*
* @param scale The exponent scale factor (e8m0_bexp_t) used for f6_t.
* @param dataBytes The f6_t value to check (unused in this implementation).
* @return true if the scale indicates a NaN value, false otherwise.
*/
template <>
__host__ __device__ inline bool is_nan<f6_t>(e8m0_bexp_t const scale,
f6_t const dataBytes [[maybe_unused]])
{
// no need to check for data as it does not have NaN representation
return scale.is_nan();
}
/**
* @brief Checks if an bf6_t value is NaN based on the provided scale.
*
* For bf6_t data, NaN cannot be represented directly. Instead, this function
* determines NaN by checking if the scale is set to a quiet NaN.
*
* @param scale The exponent scale factor (e8m0_bexp_t) used for bf6_t.
* @param dataBytes The bf6_t value to check (unused in this implementation).
* @return true if the scale indicates a NaN value, false otherwise.
*/
template <>
__host__ __device__ inline bool is_nan<bf6_t>(e8m0_bexp_t const scale,
bf6_t const dataBytes [[maybe_unused]])
{
// no need to check for data as it does not have NaN representation
return scale.is_nan();
}
/**
* @brief Checks if an f6_t value is infinite.
*
* Because f6_t does not support infinite values, this function always returns false.
*
* @param scale The exponent scale factor (e8m0_bexp_t) used for f6_t.
* @param data The f6_t value to check.
* @return Always false, as infinity is not represented in f6_t.
*/
template <>
__host__ __device__ inline bool is_inf<f6_t>(e8m0_bexp_t const scale [[maybe_unused]],
f6_t const data [[maybe_unused]])
{
// no inf representation for fp6
return false;
}
/**
* @brief Checks if an bf6_t value is infinite.
*
* Because bf6_t does not support infinite values, this function always returns false.
*
* @param scale The exponent scale factor (e8m0_bexp_t) used for bf6_t.
* @param data The bf6_t value to check.
* @return Always false, as infinity is not represented in bf6_t.
*/
template <>
__host__ __device__ inline bool is_inf<bf6_t>(e8m0_bexp_t const scale [[maybe_unused]],
bf6_t const data [[maybe_unused]])
{
// no inf representation for bf6
return false;
}
/**
* @brief Checks whether an f6_t value is zero.
*
* If the specified f6_t is NaN, this function returns false.
* Otherwise, it masks out the sign bits and checks if the remaining bits
* are zero.
*
* @param scale The exponent scale factor (e8m0_bexp_t) used for f6_t.
* @param data The f6_t value to check.
* @return true if the value is zero; otherwise false.
*/
template <>
__host__ __device__ inline bool is_zero<f6_t>(e8m0_bexp_t const scale, f6_t const data)
{
if(is_nan<f6_t>(scale, data))
return false;
// no need to check for scale as it does not have a 0 representation
f6_t result = (data & 0b00111111) & NumericUtils<f6_t>::set_sign_mask;
return result == 0b0;
}
/**
* @brief Checks whether an bf6_t value is zero.
*
* If the specified bf6_t is NaN, this function returns false.
* Otherwise, it masks out the sign bits and checks if the remaining bits
* are zero.
*
* @param scale The exponent scale factor (e8m0_bexp_t) used for bf6_t.
* @param data The bf6_t value to check.
* @return true if the value is zero; otherwise false.
*/
template <>
__host__ __device__ inline bool is_zero<bf6_t>(e8m0_bexp_t const scale, bf6_t const data)
{
if(is_nan<bf6_t>(scale, data))
return false;
// no need to check for scale as it does not have a 0 representation
bf6_t result = (data & 0b00111111) & NumericUtils<bf6_t>::set_sign_mask;
return result == 0b0;
}
/**
* @brief Converts an f6_t value to a float based on an e8m0_bexp_t scale factor.
*
* Checks if the f6_t value is NaN or zero before performing the conversion.
* Applies the exponent from the scale to compute the final float result.
*
* @param scale The exponent scale factor (e8m0_bexp_t) used for f6_t.
* @param data The f6_t value to convert.
* @return The converted float value.
*/
template <>
__host__ __device__ inline float to_float<f6_t>(e8m0_bexp_t const scale, f6_t const data)
{
if(is_nan<f6_t>(scale, data))
return std::numeric_limits<float>::quiet_NaN();
if(is_zero<f6_t>(scale, data))
return 0.0f;
f6_t prepared_data = data & 0b00111111;
int scale_exp = get_exponent_value<e8m0_bexp_t>(scale);
return convert_to_float<f6_t>(prepared_data, scale_exp);
}
/**
* @brief Converts an bf6_t value to a float based on an e8m0_bexp_t scale factor.
*
* Checks if the bf6_t value is NaN or zero before performing the conversion.
* Applies the exponent from the scale to compute the final float result.
*
* @param scale The exponent scale factor (e8m0_bexp_t) used for bf6_t.
* @param data The bf6_t value to convert.
* @return The converted float value.
*/
template <>
__host__ __device__ inline float to_float<bf6_t>(e8m0_bexp_t const scale, bf6_t const data)
{
if(is_nan<bf6_t>(scale, data))
return std::numeric_limits<float>::quiet_NaN();
if(is_zero<bf6_t>(scale, data))
return 0.0f;
bf6_t prepared_data = data & 0b00111111;
int scale_exp = get_exponent_value<e8m0_bexp_t>(scale);
return convert_to_float<bf6_t>(prepared_data, scale_exp);
}
/**
* @brief Converts a float to f6_t with saturation.
*
* If the input is NaN or exceeds the representable range for f6_t, returns
* the corresponding max normal mask. Handles subnormal cases by returning
* zero with the appropriate sign.
*
* @param value The float value to be converted.
* @return The saturated f6_t value.
*/
template <>
__host__ __device__ inline f6_t sat_convert_to_type<f6_t>(float value)
{
cvt t;
t.value_float = value;
uint32_t sign = t.value_bitwise >> 31;
if(std::isnan(value))
{
return sign ? NumericUtils<f6_t>::data_max_negative_normal_mask
: NumericUtils<f6_t>::data_max_positive_normal_mask;
}
if(std::abs(value) > NumericLimits<f6_t>::Max()) // covers inf case as well
return sign ? NumericUtils<f6_t>::data_max_negative_normal_mask
: NumericUtils<f6_t>::data_max_positive_normal_mask;
f6_t res = convert_to_type<f6_t>(value);
if(std::abs(to_float<f6_t>(NumericLimits<e8m0_bexp_t>::Binary_1(), res)) <
NumericLimits<f6_t>::DataMinSubnorm())
return sign ? NumericUtils<f6_t>::negative_zero_mask
: NumericUtils<f6_t>::positive_zero_mask;
return res;
}
/**
* @brief Converts a float to bf6_t with saturation.
*
* If the input is NaN or exceeds the representable range for bf6_t, returns
* the corresponding max normal mask. Handles subnormal cases by returning
* zero with the appropriate sign.
*
* @param value The float value to be converted.
* @return The saturated bf6_t value.
*/
template <>
__host__ __device__ inline bf6_t sat_convert_to_type<bf6_t>(float value)
{
cvt t;
t.value_float = value;
uint32_t sign = t.value_bitwise >> 31;
if(std::isnan(value))
{
return sign ? NumericUtils<bf6_t>::data_max_negative_normal_mask
: NumericUtils<bf6_t>::data_max_positive_normal_mask;
}
if(std::abs(value) > NumericLimits<bf6_t>::Max()) // covers inf case as well
return sign ? NumericUtils<bf6_t>::data_max_negative_normal_mask
: NumericUtils<bf6_t>::data_max_positive_normal_mask;
bf6_t res = convert_to_type<bf6_t>(value);
if(std::abs(to_float<bf6_t>(NumericLimits<e8m0_bexp_t>::Binary_1(), res)) <
NumericLimits<bf6_t>::DataMinSubnorm())
return sign ? NumericUtils<bf6_t>::negative_zero_mask
: NumericUtils<bf6_t>::positive_zero_mask;
return res;
}
/**
* @brief Converts a float to f6_t with saturation and stochastic rounding.
*
* If the input is NaN or exceeds the representable range for f6_t, returns
* the corresponding max normal mask. Handles subnormal cases by returning
* zero with the appropriate sign.
*
* @param value The float value to be converted.
* @return The saturated f6_t value.
*/
template <>
__host__ __device__ inline f6_t sat_convert_to_type_sr<f6_t>(float value, uint32_t seed)
{
cvt t;
t.value_float = value;
uint32_t sign = t.value_bitwise >> 31;
if(std::isnan(value))
return sign ? NumericUtils<f6_t>::data_max_negative_normal_mask
: NumericUtils<f6_t>::data_max_positive_normal_mask;
if(std::abs(value) > NumericLimits<f6_t>::Max()) // covers inf case as well
return sign ? NumericUtils<f6_t>::data_max_negative_normal_mask
: NumericUtils<f6_t>::data_max_positive_normal_mask;
f6_t res = convert_to_type_sr<f6_t>(value, seed);
if(std::abs(to_float<f6_t>(NumericLimits<e8m0_bexp_t>::Binary_1(), res)) <
NumericLimits<f6_t>::DataMinSubnorm())
return sign ? NumericUtils<f6_t>::negative_zero_mask
: NumericUtils<f6_t>::positive_zero_mask;
return res;
}
/**
* @brief Converts a float to f6_t with saturation and stochastic rounding.
*
* If the input is NaN or exceeds the representable range for f6_t, returns
* the corresponding max normal mask. Handles subnormal cases by returning
* zero with the appropriate sign.
*
* @param value The float value to be converted.
* @return The saturated f6_t value.
*/
template <>
__host__ __device__ inline bf6_t sat_convert_to_type_sr<bf6_t>(float value, uint32_t seed)
{
cvt t;
t.value_float = value;
uint32_t sign = t.value_bitwise >> 31;
if(std::isnan(value))
return sign ? NumericUtils<bf6_t>::data_max_negative_normal_mask
: NumericUtils<bf6_t>::data_max_positive_normal_mask;
if(std::abs(value) > NumericLimits<bf6_t>::Max()) // covers inf case as well
return sign ? NumericUtils<bf6_t>::data_max_negative_normal_mask
: NumericUtils<bf6_t>::data_max_positive_normal_mask;
bf6_t res = convert_to_type_sr<bf6_t>(value, seed);
if(std::abs(to_float<bf6_t>(NumericLimits<e8m0_bexp_t>::Binary_1(), res)) <
NumericLimits<bf6_t>::DataMinSubnorm())
return sign ? NumericUtils<bf6_t>::negative_zero_mask
: NumericUtils<bf6_t>::positive_zero_mask;
return res;
}
} // namespace ck::utils
include/ck/utility/mxf8_utils.hpp 0 → 100644
View file @ 7572a691
#include "ck/utility/data_type.hpp"
#include "ck/utility/mxfp_utils.hpp"
#if defined(__gfx950__) && __HIP_DEVICE_COMPILE__
#define CK_MX_FP8_CVT_FAST_PATH 1
#else
#define CK_MX_FP8_CVT_FAST_PATH 0
#endif
namespace ck {
namespace fp8_impl {
#if CK_MX_FP8_CVT_FAST_PATH
template <ck_fp8_interpretation_t interpret>
static __device__ float cast_to_f32_from_f8_scaled(float scale, fp8_storage_t v)
{
union
{
unsigned int i32val;
unsigned char i8val[4];
} val;
val.i8val[0] = v;
static_assert(interpret == ck_fp8_interpretation_t::CK_E4M3_OCP ||
interpret == ck_fp8_interpretation_t::CK_E5M2_OCP,
"Only OCP interpretations are supported");
if constexpr(interpret == ck_fp8_interpretation_t::CK_E4M3_OCP)
{
return __builtin_amdgcn_cvt_scalef32_f32_fp8(val.i32val, scale, 0);
}
else
{
return __builtin_amdgcn_cvt_scalef32_f32_bf8(val.i32val, scale, 0);
}
}
template <ck_fp8_interpretation_t interpret>
static __device__ float2_t cast_to_f32x2_from_f8x2_scaled(float scale, fp8x2_storage_t v)
{
const auto i16val = bit_cast<uint16_t>(v);
static_assert(interpret == ck_fp8_interpretation_t::CK_E4M3_OCP ||
interpret == ck_fp8_interpretation_t::CK_E5M2_OCP,
"Only OCP interpretations are supported");
if constexpr(interpret == ck_fp8_interpretation_t::CK_E4M3_OCP)
{
return __builtin_amdgcn_cvt_scalef32_pk_f32_fp8(i16val, scale, 0);
}
else
{
return __builtin_amdgcn_cvt_scalef32_pk_f32_bf8(i16val, scale, 0);
}
}
template <ck_fp8_interpretation_t interpret, bool stochastic_rounding = false>
static __device__ fp8_storage_t cast_to_f8_from_f32_scaled(float v,
unsigned int rng = 0,
float scale = 1.0f)
{
fp8_storage_t i8data;
union
{
float fval;
unsigned int i32val;
} val;
union
{
uint32_t ival;
vector_type<int16_t, 2>::type v2i16;
fp8_storage_t v4i8[4];
} ret{};
// unsigned int ival = 0;
val.fval = v;
if constexpr(stochastic_rounding)
{
ret.ival =
(interpret == ck_fp8_interpretation_t::CK_E4M3_OCP)
? __builtin_amdgcn_cvt_scalef32_sr_fp8_f32(ret.ival, val.fval, rng, scale, 0)
: __builtin_amdgcn_cvt_scalef32_sr_bf8_f32(ret.ival, val.fval, rng, scale, 0);
i8data = ret.v4i8[0];
}
else
{
// RNE CVT
// llvm.amdgcn.cvt.scalef32.pk.fp8.f32
// v2i16 old_vdst, float srcA, float srcB, float scale, bool dst_lo_hi_sel
if constexpr(interpret == ck_fp8_interpretation_t::CK_E4M3_OCP)
{
// If fval / scale > max fp8, returns Nan
ret.v2i16 = __builtin_amdgcn_cvt_scalef32_pk_fp8_f32(/*old_vdst*/ ret.v2i16,
val.fval,
val.fval,
scale,
/*dst_lo_hi_sel*/ false);
}
else
{
// If fval / scale > max bf8, returns Inf
ret.v2i16 = __builtin_amdgcn_cvt_scalef32_pk_bf8_f32(/*old_vdst*/ ret.v2i16,
val.fval,
val.fval,
scale,
/*dst_lo_hi_sel*/ false);
}
i8data = ret.v4i8[0];
}
return i8data;
}
template <ck_fp8_interpretation_t interpret, bool stochastic_rounding = false>
static __device__ fp8x2_storage_t cast_to_f8_from_f32_scaled(float2_t v,
unsigned int rng = 0,
float scale = 1.0f)
{
union
{
uint32_t ival;
vector_type<int16_t, 2>::type v2i16;
StaticallyIndexedArray<fp8x2_storage_t, 2> v2f8x2;
} ret{};
if constexpr(stochastic_rounding)
{
fp8x2_storage_t f8x2;
if constexpr(interpret == ck_fp8_interpretation_t::CK_E4M3_OCP)
{
ret.ival = __builtin_amdgcn_cvt_scalef32_sr_fp8_f32(ret.ival, v[0], rng, scale, 0);
f8x2[0] = ret.v2f8x2(Number<0>{})[0];
ret.ival = __builtin_amdgcn_cvt_scalef32_sr_fp8_f32(ret.ival, v[1], rng, scale, 0);
f8x2[1] = ret.v2f8x2(Number<0>{})[0];
}
else
{
ret.ival = __builtin_amdgcn_cvt_scalef32_sr_bf8_f32(ret.ival, v[0], rng, scale, 0);
f8x2[0] = ret.v2f8x2(Number<0>{})[0];
ret.ival = __builtin_amdgcn_cvt_scalef32_sr_bf8_f32(ret.ival, v[1], rng, scale, 0);
f8x2[1] = ret.v2f8x2(Number<0>{})[0];
}
return f8x2;
}
else
{
// RNE CVT
// llvm.amdgcn.cvt.scalef32.pk.fp8.f32
// v2i16 old_vdst, float srcA, float srcB, float scale, bool dst_lo_hi_sel
if constexpr(interpret == ck_fp8_interpretation_t::CK_E4M3_OCP)
{
// If fval / scale > max fp8, returns Nan
ret.v2i16 = __builtin_amdgcn_cvt_scalef32_pk_fp8_f32(/*old_vdst*/ ret.v2i16,
v[0],
v[1],
scale,
/*dst_lo_hi_sel*/ false);
}
else
{
// If fval / scale > max bf8, returns Inf
ret.v2i16 = __builtin_amdgcn_cvt_scalef32_pk_bf8_f32(/*old_vdst*/ ret.v2i16,
v[0],
v[1],
scale,
/*dst_lo_hi_sel*/ false);
}
return ret.v2f8x2(Number<0>{});
}
}
#endif // CK_MX_FP8_CVT_FAST_PATH
#if CK_MX_FP8_CVT_FAST_PATH
/**
* \brief convert float to @p fp8_storage_t with scaling
*
* This version is used when the fast path (MX FP8 hardware) is available
*
* \tparam interp interpretation of fp8
* \param f float number
* \param scale scaling factor
* \return fp8_storage_t
*/
template <ck_fp8_interpretation_t interp, bool stochastic_rounding = false>
__host__ __device__ static inline fp8_storage_t cvt_float_to_fp8_scaled(const float f, float scale)
{
__is_interpret_supported(interp);
uint32_t rng = 0;
if constexpr(stochastic_rounding)
{
constexpr int seed = 1254739;
rng = prand_generator<float, seed>(reinterpret_cast<uintptr_t>(&f), f);
}
return cast_to_f8_from_f32_scaled<interp, stochastic_rounding>(f, rng, scale);
}
/**
* \brief convert 2xfloat to @p 2xfp8_storage_t with scaling
*
* This version is used when the fast path (MX FP8 hardware) is available
*
* \tparam interp interpretation of fp8
* \param f 2xfloat
* \param scale scaling factor
* \return 2xfp8_storage_t
*/
template <ck_fp8_interpretation_t interp, bool stochastic_rounding = false>
__host__ __device__ static inline fp8x2_storage_t cvt_float_to_fp8_scaled(const float2_t f,
float scale)
{
__is_interpret_supported(interp);
uint32_t rng = 0;
if constexpr(stochastic_rounding)
{
constexpr int seed = 1254739;
rng = prand_generator<float, seed>(reinterpret_cast<uintptr_t>(&f), f[0]);
}
return cast_to_f8_from_f32_scaled<interp, stochastic_rounding>(f, rng, scale);
}
#else
/**
* \brief convert float to @p fp8_storage_t with scaling
*
* This version is used when the fast path (MX FP8 hardware) is not available
*
* \tparam interp interpretation of fp8
* \param f float number
* \param scale scaling factor
* \return fp8_storage_t
*/
template <ck_fp8_interpretation_t interp, bool stochastic_rounding = false>
__host__ __device__ static inline fp8_storage_t cvt_float_to_fp8_scaled(const float f, float scale)
{
static_assert(interp == ck_fp8_interpretation_t::CK_E4M3_OCP ||
interp == ck_fp8_interpretation_t::CK_E5M2_OCP,
"Only OCP interpretations are supported");
uint32_t rng = 0;
if constexpr(stochastic_rounding)
{
constexpr int seed = 1254739;
rng = prand_generator<float, seed>(reinterpret_cast<uintptr_t>(&f), f);
}
if constexpr(interp == ck_fp8_interpretation_t::CK_E4M3_OCP)
{
return cast_to_f8<float, 3, 4, false, true, stochastic_rounding>(f / scale, rng);
}
else if constexpr(interp == ck_fp8_interpretation_t::CK_E5M2_OCP)
{
return cast_to_f8<float, 2, 5, false, true, stochastic_rounding>(f / scale, rng);
}
else
{
__hip_assert(false && "FP8 type is not supported by current target device");
return 0;
}
}
/**
* \brief convert two float to @p 2xfp8_storage_t with scaling
*
* This version is used when the fast path (MX FP8 hardware) is not available
*
* \tparam interp interpretation of fp8
* \param f 2xfloat
* \param scale scaling factor
* \return 2xfp8_storage_t
*/
template <ck_fp8_interpretation_t interp, bool stochastic_rounding = false>
__host__ __device__ static inline fp8x2_storage_t cvt_float_to_fp8_scaled(const float2_t f,
float scale)
{
static_assert(interp == ck_fp8_interpretation_t::CK_E4M3_OCP ||
interp == ck_fp8_interpretation_t::CK_E5M2_OCP,
"Only OCP interpretations are supported");
uint32_t rng = 0;
if constexpr(stochastic_rounding)
{
constexpr int seed = 1254739;
rng = prand_generator<float, seed>(reinterpret_cast<uintptr_t>(&f), f[0]);
}
if constexpr(interp == ck_fp8_interpretation_t::CK_E4M3_OCP)
{
return {cast_to_f8<float, 3, 4, false, true, stochastic_rounding>(f[0] / scale, rng),
cast_to_f8<float, 3, 4, false, true, stochastic_rounding>(f[1] / scale, rng)};
}
else if constexpr(interp == ck_fp8_interpretation_t::CK_E5M2_OCP)
{
return {cast_to_f8<float, 2, 5, false, true, stochastic_rounding>(f[0] / scale, rng),
cast_to_f8<float, 2, 5, false, true, stochastic_rounding>(f[1] / scale, rng)};
}
else
{
__hip_assert(false && "FP8 type is not supported by current target device");
return 0;
}
}
#endif // CK_MX_FP8_CVT_FAST_PATH
} // namespace fp8_impl
// Declare a template function for fp8 conversion using SR
template <typename Y, typename X>
__host__ __device__ constexpr Y mxf8_convert_sr(X x, float scale);
// Declare a template function for fp8 conversion using RNE
template <typename Y, typename X>
__host__ __device__ constexpr Y mxf8_convert_rne(X x, float scale);
// convert fp32 to fp8 with rounding to nearest even
template <>
inline __host__ __device__ f8_ocp_t mxf8_convert_rne<f8_ocp_t, float>(float x, float scale)
{
return f8_ocp_t{fp8_impl::cvt_float_to_fp8_scaled<f8_ocp_t::default_interpret>(x, scale)};
}
// convert fp32 to bf8 with rounding to nearest even
template <>
inline __host__ __device__ bf8_ocp_t mxf8_convert_rne<bf8_ocp_t, float>(float x, float scale)
{
return bf8_ocp_t{fp8_impl::cvt_float_to_fp8_scaled<bf8_ocp_t::default_interpret>(x, scale)};
}
// convert fp32x2 to fp8x2 with rounding to nearest even
template <>
inline __host__ __device__ f8x2_ocp_t mxf8_convert_rne<f8x2_ocp_t, float2_t>(float2_t x,
float scale)
{
return f8x2_ocp_t{fp8_impl::cvt_float_to_fp8_scaled<f8_ocp_t::default_interpret>(x, scale)};
}
// convert fp32x2 to bf8x2 with rounding to nearest even
template <>
inline __host__ __device__ bf8x2_ocp_t mxf8_convert_rne<bf8x2_ocp_t, float2_t>(float2_t x,
float scale)
{
return bf8x2_ocp_t{fp8_impl::cvt_float_to_fp8_scaled<bf8_ocp_t::default_interpret>(x, scale)};
}
// convert fp32x16 to fp8x16 with rounding to nearest even
template <>
inline __host__ __device__ f8x16_ocp_t mxf8_convert_rne<f8x16_ocp_t, float16_t>(float16_t x,
float scale)
{
union
{
float16_t float_1x16;
float2_t float_2x8[8];
} in{x};
union
{
f8x16_ocp_t fp8_1x16;
f8x2_ocp_t fp8_2x8[8];
} out{};
ck::static_for<0, 8, 1>{}(
[&](auto i) { out.fp8_2x8[i] = mxf8_convert_rne<f8x2_ocp_t>(in.float_2x8[i], scale); });
return out.fp8_1x16;
}
// convert fp32x16 to bf8x16 with rounding to nearest even
template <>
inline __host__ __device__ bf8x16_ocp_t mxf8_convert_rne<bf8x16_ocp_t, float16_t>(float16_t x,
float scale)
{
union
{
float16_t float_1x16;
float2_t float_2x8[8];
} in{x};
union
{
bf8x16_ocp_t bf8_1x16;
bf8x2_ocp_t bf8_2x8[8];
} out{};
ck::static_for<0, 8, 1>{}(
[&](auto i) { out.bf8_2x8[i] = mxf8_convert_rne<bf8x2_ocp_t>(in.float_2x8[i], scale); });
return out.bf8_1x16;
}
// convert fp32x32 to fp8x32 with rounding to nearest even
template <>
inline __host__ __device__ f8x32_ocp_t mxf8_convert_rne<f8x32_ocp_t, float32_t>(float32_t x,
float scale)
{
union
{
float32_t float_1x32;
float16_t float_16x2[2];
} in{x};
union
{
f8x32_ocp_t fp8_1x32;
f8x16_ocp_t fp8_16x2[2];
} out{};
ck::static_for<0, 2, 1>{}(
[&](auto i) { out.fp8_16x2[i] = mxf8_convert_rne<f8x16_ocp_t>(in.float_16x2[i], scale); });
return out.fp8_1x32;
}
// convert fp32x32 to bf8x32 with rounding to nearest even
template <>
inline __host__ __device__ bf8x32_ocp_t mxf8_convert_rne<bf8x32_ocp_t, float32_t>(float32_t x,
float scale)
{
union
{
float32_t float_1x32;
float16_t float_16x2[2];
} in{x};
union
{
bf8x32_ocp_t bf8_1x32;
bf8x16_ocp_t bf8_16x2[2];
} out{};
ck::static_for<0, 2, 1>{}(
[&](auto i) { out.bf8_16x2[i] = mxf8_convert_rne<bf8x16_ocp_t>(in.float_16x2[i], scale); });
return out.bf8_1x32;
}
// convert fp32 to fp8 with stochastic rounding
template <>
inline __host__ __device__ f8_ocp_t mxf8_convert_sr<f8_ocp_t, float>(float x, float scale)
{
return f8_ocp_t{fp8_impl::cvt_float_to_fp8_scaled<f8_ocp_t::default_interpret, true>(x, scale)};
}
// convert fp32 to bf8 with stochastic rounding
template <>
inline __host__ __device__ bf8_ocp_t mxf8_convert_sr<bf8_ocp_t, float>(float x, float scale)
{
return bf8_ocp_t{
fp8_impl::cvt_float_to_fp8_scaled<bf8_ocp_t::default_interpret, true>(x, scale)};
}
// convert fp32x2 to fp8x2 with stochastic rounding
template <>
inline __host__ __device__ f8x2_ocp_t mxf8_convert_sr<f8x2_ocp_t, float2_t>(float2_t x, float scale)
{
return f8x2_ocp_t{
fp8_impl::cvt_float_to_fp8_scaled<f8_ocp_t::default_interpret, true>(x, scale)};
}
// convert fp32x2 to bf8x2 with stochastic rounding
template <>
inline __host__ __device__ bf8x2_ocp_t mxf8_convert_sr<bf8x2_ocp_t, float2_t>(float2_t x,
float scale)
{
return bf8x2_ocp_t{
fp8_impl::cvt_float_to_fp8_scaled<bf8_ocp_t::default_interpret, true>(x, scale)};
}
// convert fp32x16 to fp8x16 with stochastic rounding
template <>
inline __host__ __device__ f8x16_ocp_t mxf8_convert_sr<f8x16_ocp_t, float16_t>(float16_t x,
float scale)
{
union
{
float16_t float_1x16;
float2_t float_2x8[8];
} in{x};
union
{
f8x16_ocp_t fp8_1x16;
f8x2_ocp_t fp8_2x8[8];
} out{};
ck::static_for<0, 8, 1>{}(
[&](auto i) { out.fp8_2x8[i] = mxf8_convert_sr<f8x2_ocp_t>(in.float_2x8[i], scale); });
return out.fp8_1x16;
}
// convert fp32x16 to bf8x16 with stochastic rounding
template <>
inline __host__ __device__ bf8x16_ocp_t mxf8_convert_sr<bf8x16_ocp_t, float16_t>(float16_t x,
float scale)
{
union
{
float16_t float_1x16;
float2_t float_2x8[8];
} in{x};
union
{
bf8x16_ocp_t bf8_1x16;
bf8x2_ocp_t bf8_2x8[8];
} out{};
ck::static_for<0, 8, 1>{}(
[&](auto i) { out.bf8_2x8[i] = mxf8_convert_sr<bf8x2_ocp_t>(in.float_2x8[i], scale); });
return out.bf8_1x16;
}
// convert fp32x32 to fp8x32 with stochastic rounding
template <>
inline __host__ __device__ f8x32_ocp_t mxf8_convert_sr<f8x32_ocp_t, float32_t>(float32_t x,
float scale)
{
union
{
float32_t float_1x32;
float16_t float_16x2[2];
} in{x};
union
{
f8x32_ocp_t fp8_1x32;
f8x16_ocp_t fp8_16x2[2];
} out{};
ck::static_for<0, 2, 1>{}(
[&](auto i) { out.fp8_16x2[i] = mxf8_convert_sr<f8x16_ocp_t>(in.float_16x2[i], scale); });
return out.fp8_1x32;
}
// convert fp32x32 to bf8x32 with stochastic rounding
template <>
inline __host__ __device__ bf8x32_ocp_t mxf8_convert_sr<bf8x32_ocp_t, float32_t>(float32_t x,
float scale)
{
union
{
float32_t float_1x32;
float16_t float_16x2[2];
} in{x};
union
{
bf8x32_ocp_t bf8_1x32;
bf8x16_ocp_t bf8_16x2[2];
} out{};
ck::static_for<0, 2, 1>{}(
[&](auto i) { out.bf8_16x2[i] = mxf8_convert_sr<bf8x16_ocp_t>(in.float_16x2[i], scale); });
return out.bf8_1x32;
}
} // namespace ck
include/ck/utility/mxfp_utils.hpp 0 → 100644
View file @ 7572a691
// SPDX-License-Identifier: MIT
// Copyright (c) 2024-2025, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
namespace ck::utils {
union cvt
{
float value_float;
uint32_t value_bitwise;
};
template <typename DTYPE>
inline bool getDataHasInf()
{
return DTYPE::dataInfo.hasInf;
}
template <typename T>
__host__ __device__ inline bool is_zero(e8m0_bexp_t const scale, T const data);
template <typename T>
__host__ __device__ inline bool is_nan(e8m0_bexp_t const scale, T const data);
template <typename T>
__host__ __device__ inline bool is_inf(e8m0_bexp_t const scale, T const data);
template <typename T>
__host__ __device__ inline int get_exponent_value(T x)
{
x >>= NumericUtils<T>::mant;
x &= ((1 << NumericUtils<T>::exp) - 1);
return static_cast<int>(x);
}
template <typename T>
__host__ __device__ inline bool is_subnormal(T x)
{
return get_exponent_value<T>(x) == 0;
}
template <typename T>
__host__ __device__ inline double get_mantissa_value(T x)
{
double mantissa = is_subnormal<T>(x) ? 0.0f : 1.0f;
for(uint i = 0; i < NumericUtils<T>::mant; i++)
{
mantissa += std::pow(2, -int32_t((NumericUtils<T>::mant - i))) * (x & 0b1);
x >>= 1;
}
return mantissa;
}
template <typename T>
__host__ __device__ inline bool get_data_has_inf()
{
return NumericUtils<T>::has_inf;
}
template <typename T>
__host__ __device__ float convert_to_float(T data, int scale_exp)
{
float d_sign =
std::pow(-1, static_cast<float>(data >> (NumericUtils<T>::exp + NumericUtils<T>::mant)));
float d_exp;
if(is_subnormal<T>(data))
d_exp = std::pow(2, 1 - static_cast<int>(NumericUtils<T>::bias));
else
d_exp = std::pow(2, get_exponent_value<T>(data) - static_cast<int>(NumericUtils<T>::bias));
float d_mant = get_mantissa_value<T>(data);
float data_value = d_sign * d_exp * d_mant;
float scale_value = std::pow(
2, static_cast<float>((scale_exp - static_cast<int>(NumericUtils<e8m0_bexp_t>::bias))));
return data_value * scale_value;
}
template <typename T>
__host__ __device__ inline float to_float(e8m0_bexp_t const scale, T const data);
template <typename T>
__host__ __device__ T sat_convert_to_type(float value);
template <typename T>
__host__ __device__ T sat_convert_to_type_sr(float value, uint32_t seed);
template <typename T>
inline T convert_to_type(float value)
{
using bitwise_type = typename NumericUtils<T>::bitwise_type;
if(std::abs(value) > NumericLimits<T>::Max())
{
float max_value = NumericLimits<T>::Max();
cvt t;
// cppcheck-suppress redundantAssignment
t.value_float = max_value;
uint32_t max_bitwise = t.value_bitwise;
// cppcheck-suppress redundantAssignment
t.value_float = value;
bitwise_type sign =
t.value_bitwise >> (NumericUtils<float>::exp + NumericUtils<float>::mant);
bitwise_type exp =
((max_bitwise >> NumericUtils<float>::mant) & NumericUtils<float>::exp_mask) -
(NumericUtils<float>::bias - NumericUtils<T>::bias);
bitwise_type mantissa = max_bitwise >> (NumericUtils<float>::mant - NumericUtils<T>::mant);
uint32_t mant_prev = max_bitwise >> (NumericUtils<float>::mant - NumericUtils<T>::mant);
mant_prev &= ((1 << NumericUtils<T>::mant) - 1);
mant_prev--;
mant_prev <<= (NumericUtils<float>::mant - NumericUtils<T>::mant);
uint32_t prev_bit =
((max_bitwise >> NumericUtils<float>::mant) << NumericUtils<float>::mant) | mant_prev;
t.value_bitwise = prev_bit;
float prev_val = t.value_float;
float diff = max_value - prev_val;
float actual_max = max_value + (diff / 2);
if(std::abs(value) < actual_max)
{
return sign << ((NumericUtils<T>::exp + NumericUtils<T>::mant)) |
(exp << NumericUtils<T>::mant) | mantissa;
}
else
{
if(!get_data_has_inf<T>())
{
return (1 << (NumericUtils<T>::mant + NumericUtils<T>::exp)) - 1;
}
else
{
exp++;
return sign << ((NumericUtils<T>::exp + NumericUtils<T>::mant)) |
(exp << NumericUtils<T>::mant);
}
}
}
const int mfmt = NumericUtils<float>::mant;
uint32_t x;
x = bit_cast<uint32_t>(value);
uint32_t head, mantissa;
int32_t exponent, bias;
uint32_t sign;
head = x & NumericUtils<float>::head_mask;
mantissa = x & NumericUtils<float>::mant_mask;
exponent = (head >> NumericUtils<float>::mant) & NumericUtils<float>::exp_mask;
sign = head >> (NumericUtils<float>::mant + NumericUtils<float>::exp);
bias = NumericUtils<float>::bias;
if(x == 0)
{
return 0b0;
}
const int mini_bias = NumericUtils<T>::bias;
const int mini_denormal_act_exponent = 1 - mini_bias;
int act_exponent, out_exponent, exponent_diff;
bool is_subnorm = false;
if(exponent == 0)
{
act_exponent = exponent - bias + 1;
exponent_diff = mini_denormal_act_exponent - act_exponent;
is_subnorm = true;
}
else
{
act_exponent = exponent - bias;
if(act_exponent <= mini_denormal_act_exponent)
{
exponent_diff = mini_denormal_act_exponent - act_exponent;
is_subnorm = true;
}
else
{
exponent_diff = 0;
}
mantissa += (1UL << mfmt);
}
auto shift_amount = (mfmt - NumericUtils<T>::mant + exponent_diff);
shift_amount = (shift_amount >= 64) ? 63 : shift_amount;
bool midpoint = (mantissa & ((1UL << shift_amount) - 1)) == (1UL << (shift_amount - 1));
float min_subnorm = NumericLimits<T>::DataMinSubnorm() * (sign ? -1 : 1);
if(is_subnorm && std::abs(value) < std::abs(min_subnorm))
{
// closer to 0
if(std::abs(value) <= std::abs(min_subnorm - value))
return 0;
else
return 1 | (sign << (NumericUtils<T>::exp + NumericUtils<T>::mant));
}
if(exponent_diff > 0)
mantissa >>= exponent_diff;
else if(exponent_diff == -1)
mantissa <<= -exponent_diff;
bool implicit_one = mantissa & (1 << mfmt);
out_exponent = (act_exponent + exponent_diff) + mini_bias - (implicit_one ? 0 : 1);
uint32_t drop_mask = (1UL << (mfmt - NumericUtils<T>::mant)) - 1;
bool odd = mantissa & (1UL << (mfmt - NumericUtils<T>::mant));
mantissa += (midpoint ? (odd ? mantissa : mantissa - 1) : mantissa) & drop_mask;
if(out_exponent == 0)
{
if((1UL << mfmt) & mantissa)
{
out_exponent = 1;
}
}
else
{
if((1UL << (mfmt + 1)) & mantissa)
{
mantissa >>= 1;
out_exponent++;
}
}
mantissa >>= (mfmt - NumericUtils<T>::mant);
if(out_exponent == 0 && mantissa == 0)
{
return 0;
}
mantissa &= (1UL << NumericUtils<T>::mant) - 1;
return (sign << (NumericUtils<T>::exp + NumericUtils<T>::mant)) |
(out_exponent << NumericUtils<T>::mant) | mantissa;
}
template <typename T>
inline T convert_to_type_sr(float value, uint32_t seed)
{
if(std::abs(value) > NumericLimits<T>::Max())
{
float max_value = NumericLimits<T>::Max();
cvt t;
// cppcheck-suppress redundantAssignment
t.value_float = max_value;
uint max_bitwise = t.value_bitwise;
// cppcheck-suppress redundantAssignment
t.value_float = value;
T sign = t.value_bitwise >> (NumericUtils<float>::exp + NumericUtils<float>::mant);
T exp = ((max_bitwise >> NumericUtils<float>::mant) & NumericUtils<float>::exp_mask) -
(NumericUtils<float>::bias - NumericUtils<T>::bias);
uint32_t mant_prev = max_bitwise >> (NumericUtils<float>::mant - NumericUtils<T>::mant);
mant_prev &= ((1UL << NumericUtils<T>::mant) - 1);
mant_prev--;
mant_prev <<= (NumericUtils<float>::mant - NumericUtils<T>::mant);
uint32_t prev_bit =
((max_bitwise >> NumericUtils<float>::mant) << NumericUtils<float>::mant) | mant_prev;
t.value_bitwise = prev_bit;
float prev_val = t.value_float;
float diff = max_value - prev_val;
float actual_max = max_value + (diff / 2);
if(std::abs(value) < actual_max)
{
double d_max_value = static_cast<double>(max_value);
double d_actual_max = static_cast<double>(actual_max);
double d_value = static_cast<double>(value);
double d_is = std::abs(d_max_value - d_actual_max);
double d_seed = static_cast<double>(seed);
double d_prob = 1.0f - (std::abs(d_value - d_max_value) / d_is); // prob to round down
double thresh = UINT_MAX * d_prob;
if(!get_data_has_inf<T>() || d_seed <= thresh)
// return static_cast<T>(satConvertToType(getDataMax<DTYPE>())); //round down time
return sign == 0 ? NumericUtils<f4_t>::data_max_positive_normal_mask
: NumericUtils<f4_t>::data_max_negative_normal_mask;
else
{
exp++;
return sign << ((NumericUtils<T>::exp + NumericUtils<T>::mant)) // inf
| (exp << NumericUtils<T>::mant);
}
}
else
{
if(!get_data_has_inf<T>())
return (1 << (NumericUtils<T>::mant + NumericUtils<T>::exp)) - 1;
else
{
exp++;
return sign << ((NumericUtils<T>::exp + NumericUtils<T>::mant)) // inf
| (exp << NumericUtils<T>::mant);
}
}
}
uint32_t f32 = bit_cast<uint32_t>(value);
auto f32_mant = f32 & NumericUtils<float>::mant_mask;
auto head = f32 & NumericUtils<float>::head_mask;
auto f32_exp = (head >> NumericUtils<float>::mant) & NumericUtils<float>::exp_mask;
auto sign_bit = head >> (NumericUtils<float>::mant + NumericUtils<float>::exp);
auto sign = sign_bit << (NumericUtils<T>::exp + NumericUtils<T>::mant);
f32_exp = static_cast<int32_t>(f32_exp) - NumericUtils<float>::bias;
int32_t exp = f32_exp;
auto mant = f32_mant;
bool subnorm = false;
if(f32 == 0)
return 0b0;
if(exp >= NumericUtils<T>::unbiased_exp_min)
{
mant = f32_mant;
}
// if the exponent bit is 8, then the subnormal is exactly the same as f32
else if(exp < NumericUtils<T>::unbiased_exp_min &&
NumericUtils<T>::exp < NumericUtils<float>::exp)
{
subnorm = true;
auto diff = static_cast<uint32_t>(NumericUtils<T>::unbiased_exp_min - exp);
if(diff >= 32)
{
mant = 0;
f32_mant = 0;
}
else
{
f32_mant |= static_cast<uint32_t>(1) << NumericUtils<float>::mant;
f32_mant >>= diff;
}
exp = 0;
mant = f32_mant;
}
uint32_t sr_shift = NumericUtils<T>::sr_shift;
// For stochastic-rounding we add the aligned random value to the
// mantissa and then truncate (RTZ).
mant += seed >> sr_shift;
// Increment exponent when mantissa overflows due to rounding
if(mant >= static_cast<uint32_t>(1) << NumericUtils<float>::mant)
++exp;
mant >>= (NumericUtils<float>::mant - NumericUtils<T>::mant);
mant &= ((1 << NumericUtils<T>::mant) - 1);
auto biased_exp = static_cast<uint32_t>(exp);
if(!subnorm)
biased_exp = static_cast<uint32_t>(exp + NumericUtils<T>::bias);
biased_exp &= ((1 << NumericUtils<T>::exp) - 1);
auto val = sign | biased_exp << NumericUtils<T>::mant | mant;
return val;
}
} // namespace ck::utils
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