Skip to content

GitLab

"app/vscode:/vscode.git/clone" did not exist on "8c74f5ddfd08afbe256d9156ec4a623e4f717209"
Unverified Commit 31b40352 authored by Chao Liu's avatar Chao Liu Committed by GitHub
Browse files

Merge pull request #16 from ROCmSoftwarePlatform/develop 

Merge develop into master
parents 5781adf5 b62bf8c3
Hide whitespace changes
Inline Side-by-side
Showing with 932 additions and 432 deletions
composable_kernel/include/tensor_operation/xdlops_gemm.hpp
View file @ 31b40352
......@@ -350,8 +350,8 @@ struct mfma_info<mfma_instr::mfma_f32_32x32x2bf16>
class FloatC>
__device__ FloatC run(const FloatA* a, const FloatB* b, FloatC reg_c) const
{
const auto p_a = reinterpret_cast<const ushort2_t*>(a);
const auto p_b = reinterpret_cast<const ushort2_t*>(b);
const auto p_a = c_style_pointer_cast<const ushort2_t*>(a);
const auto p_b = c_style_pointer_cast<const ushort2_t*>(b);
return intrin_mfma_f32_32x32x2bf16<MPerXdlops, NPerXdlops, AStride, BStride>::run(
p_a, p_b, reg_c);
......@@ -384,8 +384,8 @@ struct mfma_info<mfma_instr::mfma_f32_32x32x4bf16>
class FloatC>
__device__ FloatC run(const FloatA* a, const FloatB* b, FloatC reg_c) const
{
const auto p_a = reinterpret_cast<const ushort2_t*>(a);
const auto p_b = reinterpret_cast<const ushort2_t*>(b);
const auto p_a = c_style_pointer_cast<const ushort2_t*>(a);
const auto p_b = c_style_pointer_cast<const ushort2_t*>(b);
return intrin_mfma_f32_32x32x4bf16(p_a, p_b, reg_c);
}
......@@ -417,8 +417,8 @@ struct mfma_info<mfma_instr::mfma_f32_16x16x8bf16>
class FloatC>
__device__ FloatC run(const FloatA* a, const FloatB* b, FloatC reg_c) const
{
const auto p_a = reinterpret_cast<const ushort2_t*>(a);
const auto p_b = reinterpret_cast<const ushort2_t*>(b);
const auto p_a = c_style_pointer_cast<const ushort2_t*>(a);
const auto p_b = c_style_pointer_cast<const ushort2_t*>(b);
return intrin_mfma_f32_16x16x8bf16(p_a, p_b, reg_c);
}
......@@ -450,8 +450,8 @@ struct mfma_info<mfma_instr::mfma_f32_16x16x2bf16>
class FloatC>
__device__ FloatC run(const FloatA* a, const FloatB* b, FloatC reg_c) const
{
const auto p_a = reinterpret_cast<const ushort2_t*>(a);
const auto p_b = reinterpret_cast<const ushort2_t*>(b);
const auto p_a = c_style_pointer_cast<const ushort2_t*>(a);
const auto p_b = c_style_pointer_cast<const ushort2_t*>(b);
return intrin_mfma_f32_16x16x2bf16<MPerXdlops, NPerXdlops>(p_a, p_b, reg_c);
}
......@@ -483,8 +483,8 @@ struct mfma_info<mfma_instr::mfma_f32_4x4x2bf16>
class FloatC>
__device__ FloatC run(const FloatA* a, const FloatB* b, FloatC reg_c) const
{
const auto p_a = reinterpret_cast<const ushort2_t*>(a);
const auto p_b = reinterpret_cast<const ushort2_t*>(b);
const auto p_a = c_style_pointer_cast<const ushort2_t*>(a);
const auto p_b = c_style_pointer_cast<const ushort2_t*>(b);
return intrin_mfma_f32_4x4x2bf16<MPerXdlops, NPerXdlops>::run(p_a, p_b, reg_c);
}
......
composable_kernel/include/utility/amd_address_space.hpp 0 → 100644
View file @ 31b40352
#ifndef CK_AMD_ADDRESS_SPACE_HPP
#define CK_AMD_ADDRESS_SPACE_HPP
#include "config.hpp"
#include "c_style_pointer_cast.hpp"
// Address Space for AMDGCN
// https://llvm.org/docs/AMDGPUUsage.html#address-space
namespace ck {
enum AddressSpaceEnum_t
{
Generic,
Global,
Lds,
Sgpr,
Vgpr,
};
template <typename T>
__device__ T* cast_pointer_to_generic_address_space(T CONSTANT* p)
{
// cast a pointer in "Constant" address space (4) to "Generic" address space (0)
// only c-style pointer cast seems be able to be compiled
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wold-style-cast"
return (T*)p; // NOLINT(old-style-cast)
#pragma clang diagnostic pop
}
template <typename T>
__host__ __device__ T CONSTANT* cast_pointer_to_constant_address_space(T* p)
{
// cast a pointer in "Generic" address space (0) to "Constant" address space (4)
// only c-style pointer cast seems be able to be compiled
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wold-style-cast"
return (T CONSTANT*)p; // NOLINT(old-style-cast)
#pragma clang diagnostic pop
}
} // namespace ck
#endif
composable_kernel/include/utility/amd_buffer_addressing_v2.hpp → composable_kernel/include/utility/amd_buffer_addressing.hpp
View file @ 31b40352
#ifndef CK_AMD_BUFFER_ADDRESSING_V2_HPP
#define CK_AMD_BUFFER_ADDRESSING_V2_HPP
#ifndef CK_AMD_BUFFER_ADDRESSING_HPP
#define CK_AMD_BUFFER_ADDRESSING_HPP
#include "data_type.hpp"
namespace ck {
template <typename T>
union BufferResource_v2
union BufferResource
{
// 128 bit SGPRs to supply buffer resource in buffer instructions
// https://rocm-documentation.readthedocs.io/en/latest/GCN_ISA_Manuals/testdocbook.html#vector-memory-buffer-instructions
int32x4_t data;
int32x4_t content;
StaticallyIndexedArray<T*, 2> address;
StaticallyIndexedArray<int32_t, 4> range;
StaticallyIndexedArray<int32_t, 4> config;
};
template <typename T>
__device__ int32x4_t make_wave_buffer_resource(T* p_wave, index_t data_space_size)
__device__ int32x4_t make_wave_buffer_resource(T* p_wave, index_t element_space_size)
{
BufferResource_v2<T> wave_buffer_resource;
BufferResource<T> wave_buffer_resource;
// wavewise base address (64 bit)
wave_buffer_resource.address(Number<0>{}) = const_cast<remove_cv_t<T>*>(p_wave);
// wavewise range (32 bit)
wave_buffer_resource.range(Number<2>{}) = data_space_size * sizeof(T);
wave_buffer_resource.range(Number<2>{}) = element_space_size * sizeof(T);
// wavewise setting (32 bit)
wave_buffer_resource.config(Number<3>{}) = CK_BUFFER_RESOURCE_3RD_DWORD;
return wave_buffer_resource.data;
return wave_buffer_resource.content;
}
// load
......@@ -204,10 +204,9 @@ llvm_amdgcn_raw_buffer_store_fp32x4(float4_t vdata,
index_t glc_slc) __asm("llvm.amdgcn.raw.buffer.store.v4f32");
template <typename T, index_t N>
__device__ typename vector_type<T, N>::type
amd_buffer_load_impl_v2(int32x4_t src_wave_buffer_resource,
index_t src_thread_addr_offset,
index_t src_wave_addr_offset)
__device__ typename vector_type<T, N>::type amd_buffer_load_impl(int32x4_t src_wave_buffer_resource,
index_t src_thread_addr_offset,
index_t src_wave_addr_offset)
{
static_assert(
(is_same<T, float>::value && (N == 1 || N == 2 || N == 4 || N == 8)) ||
......@@ -412,10 +411,10 @@ amd_buffer_load_impl_v2(int32x4_t src_wave_buffer_resource,
}
template <typename T, index_t N>
__device__ void amd_buffer_store_impl_v2(const typename vector_type<T, N>::type src_thread_data,
int32x4_t dst_wave_buffer_resource,
index_t dst_thread_addr_offset,
index_t dst_wave_addr_offset)
__device__ void amd_buffer_store_impl(const typename vector_type<T, N>::type src_thread_data,
int32x4_t dst_wave_buffer_resource,
index_t dst_thread_addr_offset,
index_t dst_wave_addr_offset)
{
static_assert(
(is_same<T, float>::value && (N == 1 || N == 2 || N == 4)) ||
......@@ -584,67 +583,95 @@ __device__ void amd_buffer_store_impl_v2(const typename vector_type<T, N>::type
// buffer_load requires:
// 1) p_src_wave must be in global memory space
// 2) p_src_wave to be a wavewise pointer.
// 2) p_src_wave must be a wavewise pointer.
// It is user's responsibility to make sure that is true.
template <typename T, index_t N>
__device__ typename vector_type_maker<T, N>::type::type
amd_buffer_load_v2(const T* p_src_wave,
index_t src_thread_data_offset,
bool src_thread_data_valid,
index_t src_element_space)
amd_buffer_load_invalid_element_return_return_zero(const T* p_src_wave,
index_t src_thread_element_offset,
bool src_thread_element_valid,
index_t src_element_space_size)
{
const int32x4_t src_wave_buffer_resource =
make_wave_buffer_resource(p_src_wave, src_element_space);
make_wave_buffer_resource(p_src_wave, src_element_space_size);
index_t src_thread_addr_offset = src_thread_data_offset * sizeof(T);
index_t src_thread_addr_offset = src_thread_element_offset * sizeof(T);
using vector_t = typename vector_type_maker<T, N>::type::type;
using scalar_t = typename scalar_type<vector_t>::type;
using vector_t = typename vector_type_maker<T, N>::type::type;
using scalar_t = typename scalar_type<vector_t>::type;
constexpr index_t vector_size = scalar_type<vector_t>::vector_size;
#if CK_EXPERIMENTAL_USE_BUFFER_LOAD_OOB_CHECK_OFFSET_TRICK
uint32_t src_addr_shift = src_thread_data_valid ? 0 : 0x7fffffff;
uint32_t src_addr_shift = src_thread_element_valid ? 0 : 0x7fffffff;
return amd_buffer_load_impl_v2<scalar_t, vector_size>(
return amd_buffer_load_impl<scalar_t, vector_size>(
src_wave_buffer_resource, src_addr_shift + src_thread_addr_offset, 0);
#else
vector_t tmp = amd_buffer_load_impl_v2<scalar_t, vector_size>(
vector_t tmp = amd_buffer_load_impl<scalar_t, vector_size>(
src_wave_buffer_resource, src_thread_addr_offset, 0);
return src_thread_data_valid ? tmp : vector_t(0);
return src_thread_element_valid ? tmp : vector_t(0);
#endif
}
// buffer_load requires:
// 1) p_src_wave must be in global memory space
// 2) p_src_wave must be a wavewise pointer.
// It is user's responsibility to make sure that is true.
template <typename T, index_t N>
__device__ typename vector_type_maker<T, N>::type::type
amd_buffer_load_invalid_element_return_customized_value(const T* p_src_wave,
index_t src_thread_element_offset,
bool src_thread_element_valid,
index_t src_element_space_size,
T customized_value)
{
const int32x4_t src_wave_buffer_resource =
make_wave_buffer_resource(p_src_wave, src_element_space_size);
index_t src_thread_addr_offset = src_thread_element_offset * sizeof(T);
using vector_t = typename vector_type_maker<T, N>::type::type;
using scalar_t = typename scalar_type<vector_t>::type;
constexpr index_t vector_size = scalar_type<vector_t>::vector_size;
vector_t tmp = amd_buffer_load_impl<scalar_t, vector_size>(
src_wave_buffer_resource, src_thread_addr_offset, 0);
return src_thread_element_valid ? tmp : vector_t(customized_value);
}
// buffer_store requires:
// 1) p_dst_wave must be global memory
// 2) p_dst_wave to be a wavewise pointer.
// It is user's responsibility to make sure that is true.
template <typename T, index_t N>
__device__ void
amd_buffer_store_v2(const typename vector_type_maker<T, N>::type::type src_thread_data,
T* p_dst_wave,
const index_t dst_thread_data_offset,
const bool dst_thread_data_valid,
const index_t dst_element_space)
__device__ void amd_buffer_store(const typename vector_type_maker<T, N>::type::type src_thread_data,
T* p_dst_wave,
const index_t dst_thread_element_offset,
const bool dst_thread_element_valid,
const index_t dst_element_space_size)
{
const int32x4_t dst_wave_buffer_resource =
make_wave_buffer_resource(p_dst_wave, dst_element_space);
make_wave_buffer_resource(p_dst_wave, dst_element_space_size);
index_t dst_thread_addr_offset = dst_thread_data_offset * sizeof(T);
index_t dst_thread_addr_offset = dst_thread_element_offset * sizeof(T);
using vector_t = typename vector_type_maker<T, N>::type::type;
using scalar_t = typename scalar_type<vector_t>::type;
constexpr index_t vector_size = scalar_type<vector_t>::vector_size;
#if CK_EXPERIMENTAL_USE_BUFFER_STORE_OOB_CHECK_OFFSET_TRICK
uint32_t dst_addr_shift = dst_thread_data_valid ? 0 : 0x7fffffff;
uint32_t dst_addr_shift = dst_thread_element_valid ? 0 : 0x7fffffff;
amd_buffer_store_impl_v2<scalar_t, vector_size>(
amd_buffer_store_impl<scalar_t, vector_size>(
src_thread_data, dst_wave_buffer_resource, dst_addr_shift + dst_thread_addr_offset, 0);
#else
if(dst_thread_data_valid)
if(dst_thread_element_valid)
{
amd_buffer_store_impl_v2<scalar_t, vector_size>(
amd_buffer_store_impl<scalar_t, vector_size>(
src_thread_data, dst_wave_buffer_resource, dst_thread_addr_offset, 0);
}
#endif
......
composable_kernel/include/utility/amd_dlop.hpp deleted 100644 → 0
View file @ 5781adf5
#ifndef CK_AMD_DLOP_HPP
#define CK_AMD_DLOP_HPP
#include "data_type.hpp"
namespace ck {
template <typename TA, typename TB, typename TC>
__device__ void amd_inner_product_dlop(const TA& a, const TB& b, TC& c);
template <>
__device__ void
amd_inner_product_dlop<float, float, float>(const float& a, const float& b, float& c)
{
#if CK_USE_AMD_DLOP_INLINE_ASM
asm volatile("\n \
v_fmac_f32 %0, %1, %2 \n \
"
: "=v"(c)
: "v"(a), "v"(b), "0"(c));
#else
c += a * b;
#endif
}
template <>
__device__ void
amd_inner_product_dlop<float2_t, float2_t, float>(const float2_t& a, const float2_t& b, float& c)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
amd_inner_product_dlop(vector_type<float, 2>{a}.AsType<float>()[I0],
vector_type<float, 2>{b}.AsType<float>()[I0],
c);
amd_inner_product_dlop(vector_type<float, 2>{a}.AsType<float>()[I1],
vector_type<float, 2>{b}.AsType<float>()[I1],
c);
}
template <>
__device__ void
amd_inner_product_dlop<float4_t, float4_t, float>(const float4_t& a, const float4_t& b, float& c)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
amd_inner_product_dlop(vector_type<float, 4>{a}.AsType<float>()[I0],
vector_type<float, 4>{b}.AsType<float>()[I0],
c);
amd_inner_product_dlop(vector_type<float, 4>{a}.AsType<float>()[I1],
vector_type<float, 4>{b}.AsType<float>()[I1],
c);
amd_inner_product_dlop(vector_type<float, 4>{a}.AsType<float>()[I2],
vector_type<float, 4>{b}.AsType<float>()[I2],
c);
amd_inner_product_dlop(vector_type<float, 4>{a}.AsType<float>()[I3],
vector_type<float, 4>{b}.AsType<float>()[I3],
c);
}
#if CK_USE_AMD_DLOP
template <>
__device__ void
amd_inner_product_dlop<half2_t, half2_t, float>(const half2_t& a, const half2_t& b, float& c)
{
#if CK_USE_AMD_DLOP_INLINE_ASM
asm volatile("\n \
v_dot2_f32_f16 %0, %1, %2, %0\n \
"
: "=v"(c)
: "v"(a), "v"(b), "0"(c));
#else
c = __builtin_amdgcn_sdot2(a, b, c, false);
#endif
}
template <>
__device__ void
amd_inner_product_dlop<half4_t, half4_t, float>(const half4_t& a, const half4_t& b, float& c)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
amd_inner_product_dlop(vector_type<half_t, 4>{a}.AsType<half2_t>()[I0],
vector_type<half_t, 4>{b}.AsType<half2_t>()[I0],
c);
amd_inner_product_dlop(vector_type<half_t, 4>{a}.AsType<half2_t>()[I1],
vector_type<half_t, 4>{b}.AsType<half2_t>()[I1],
c);
}
template <>
__device__ void
amd_inner_product_dlop<half8_t, half8_t, float>(const half8_t& a, const half8_t& b, float& c)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
amd_inner_product_dlop(vector_type<half_t, 8>{a}.AsType<half2_t>()[I0],
vector_type<half_t, 8>{b}.AsType<half2_t>()[I0],
c);
amd_inner_product_dlop(vector_type<half_t, 8>{a}.AsType<half2_t>()[I1],
vector_type<half_t, 8>{b}.AsType<half2_t>()[I1],
c);
amd_inner_product_dlop(vector_type<half_t, 8>{a}.AsType<half2_t>()[I2],
vector_type<half_t, 8>{b}.AsType<half2_t>()[I2],
c);
amd_inner_product_dlop(vector_type<half_t, 8>{a}.AsType<half2_t>()[I3],
vector_type<half_t, 8>{b}.AsType<half2_t>()[I3],
c);
}
template <>
__device__ void amd_inner_product_dlop<int8x4_t, int8x4_t, int32_t>(const int8x4_t& a,
const int8x4_t& b,
int32_t& c)
{
#if CK_USE_AMD_DLOP_INLINE_ASM
asm volatile("\n \
v_dot4_i32_i8 %0, %1, %2, %0\n \
"
: "=v"(c)
: "v"(as_type<int32_t>(a)), "v"(as_type<int32_t>(b)), "0"(c));
#else
c = __builtin_amdgcn_sdot4(as_type<int32_t>(a), as_type<int32_t>(b), c, false);
#endif
}
template <>
__device__ void amd_inner_product_dlop<int8x8_t, int8x8_t, int32_t>(const int8x8_t& a,
const int8x8_t& b,
int32_t& c)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
amd_inner_product_dlop(vector_type<int8_t, 8>{a}.AsType<int8x4_t>()[I0],
vector_type<int8_t, 8>{b}.AsType<int8x4_t>()[I0],
c);
amd_inner_product_dlop(vector_type<int8_t, 8>{a}.AsType<int8x4_t>()[I1],
vector_type<int8_t, 8>{b}.AsType<int8x4_t>()[I1],
c);
}
template <>
__device__ void amd_inner_product_dlop<int8x16_t, int8x16_t, int32_t>(const int8x16_t& a,
const int8x16_t& b,
int32_t& c)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
amd_inner_product_dlop(vector_type<int8_t, 16>{a}.AsType<int8x4_t>()[I0],
vector_type<int8_t, 16>{b}.AsType<int8x4_t>()[I0],
c);
amd_inner_product_dlop(vector_type<int8_t, 16>{a}.AsType<int8x4_t>()[I1],
vector_type<int8_t, 16>{b}.AsType<int8x4_t>()[I1],
c);
amd_inner_product_dlop(vector_type<int8_t, 16>{a}.AsType<int8x4_t>()[I2],
vector_type<int8_t, 16>{b}.AsType<int8x4_t>()[I2],
c);
amd_inner_product_dlop(vector_type<int8_t, 16>{a}.AsType<int8x4_t>()[I3],
vector_type<int8_t, 16>{b}.AsType<int8x4_t>()[I3],
c);
}
#endif // CK_USE_AMD_DLOP
} // namespace ck
#endif
composable_kernel/include/utility/amd_inline_asm.hpp
View file @ 31b40352
......@@ -2,6 +2,9 @@
#define CK_AMD_INLINE_ASM_HPP
#include "data_type.hpp"
#include "c_style_pointer_cast.hpp"
// TODO: deprecate all amd_assembly_outer_product_xxx
namespace ck {
......@@ -53,9 +56,9 @@ __device__ void
amd_assembly_outer_product_1x2(half4_t a, half4_t b0, half4_t b1, float& c0, float& c1)
{
// TODO remove pointer casting
const half2_t* p_a_half2 = reinterpret_cast<const half2_t*>(&a);
const half2_t* p_b0_half2 = reinterpret_cast<const half2_t*>(&b0);
const half2_t* p_b1_half2 = reinterpret_cast<const half2_t*>(&b1);
const half2_t* p_a_half2 = c_style_pointer_cast<const half2_t*>(&a);
const half2_t* p_b0_half2 = c_style_pointer_cast<const half2_t*>(&b0);
const half2_t* p_b1_half2 = c_style_pointer_cast<const half2_t*>(&b1);
// do dot2 two times
asm volatile("\n \
......@@ -114,11 +117,11 @@ __device__ void amd_assembly_outer_product_1x4(half4_t a,
float& c3)
{
// TODO remove pointer casting
const half2_t* p_a_half2 = reinterpret_cast<const half2_t*>(&a);
const half2_t* p_b0_half2 = reinterpret_cast<const half2_t*>(&b0);
const half2_t* p_b1_half2 = reinterpret_cast<const half2_t*>(&b1);
const half2_t* p_b2_half2 = reinterpret_cast<const half2_t*>(&b2);
const half2_t* p_b3_half2 = reinterpret_cast<const half2_t*>(&b3);
const half2_t* p_a_half2 = c_style_pointer_cast<const half2_t*>(&a);
const half2_t* p_b0_half2 = c_style_pointer_cast<const half2_t*>(&b0);
const half2_t* p_b1_half2 = c_style_pointer_cast<const half2_t*>(&b1);
const half2_t* p_b2_half2 = c_style_pointer_cast<const half2_t*>(&b2);
const half2_t* p_b3_half2 = c_style_pointer_cast<const half2_t*>(&b3);
// do dot2 two times
asm volatile("\n \
......@@ -160,11 +163,11 @@ __device__ void amd_assembly_outer_product_1x4(half8_t a,
{
// TODO remove pointer casting
const half4_t* p_a_half4 = reinterpret_cast<const half4_t*>(&a);
const half4_t* p_b0_half4 = reinterpret_cast<const half4_t*>(&b0);
const half4_t* p_b1_half4 = reinterpret_cast<const half4_t*>(&b1);
const half4_t* p_b2_half4 = reinterpret_cast<const half4_t*>(&b2);
const half4_t* p_b3_half4 = reinterpret_cast<const half4_t*>(&b3);
const half4_t* p_a_half4 = c_style_pointer_cast<const half4_t*>(&a);
const half4_t* p_b0_half4 = c_style_pointer_cast<const half4_t*>(&b0);
const half4_t* p_b1_half4 = c_style_pointer_cast<const half4_t*>(&b1);
const half4_t* p_b2_half4 = c_style_pointer_cast<const half4_t*>(&b2);
const half4_t* p_b3_half4 = c_style_pointer_cast<const half4_t*>(&b3);
amd_assembly_outer_product_1x4(
p_a_half4[0], p_b0_half4[0], p_b1_half4[0], p_b2_half4[0], p_b3_half4[0], c0, c1, c2, c3);
......@@ -184,11 +187,11 @@ __device__ void amd_assembly_outer_product_1x4(half16_t a,
float& c3)
{
// TODO remove pointer casting
const half8_t* p_a_half8 = reinterpret_cast<const half8_t*>(&a);
const half8_t* p_b0_half8 = reinterpret_cast<const half8_t*>(&b0);
const half8_t* p_b1_half8 = reinterpret_cast<const half8_t*>(&b1);
const half8_t* p_b2_half8 = reinterpret_cast<const half8_t*>(&b2);
const half8_t* p_b3_half8 = reinterpret_cast<const half8_t*>(&b3);
const half8_t* p_a_half8 = c_style_pointer_cast<const half8_t*>(&a);
const half8_t* p_b0_half8 = c_style_pointer_cast<const half8_t*>(&b0);
const half8_t* p_b1_half8 = c_style_pointer_cast<const half8_t*>(&b1);
const half8_t* p_b2_half8 = c_style_pointer_cast<const half8_t*>(&b2);
const half8_t* p_b3_half8 = c_style_pointer_cast<const half8_t*>(&b3);
amd_assembly_outer_product_1x4(
p_a_half8[0], p_b0_half8[0], p_b1_half8[0], p_b2_half8[0], p_b3_half8[0], c0, c1, c2, c3);
......
composable_kernel/include/utility/c_style_pointer_cast.hpp 0 → 100644
View file @ 31b40352
#ifndef CK_C_STYLE_POINTER_CAST_HPP
#define CK_C_STYLE_POINTER_CAST_HPP
#include "type.hpp"
#include "enable_if.hpp"
namespace ck {
template <typename PY,
typename PX,
typename enable_if<is_pointer_v<PY> && is_pointer_v<PX>, bool>::type = false>
__host__ __device__ PY c_style_pointer_cast(PX p_x)
{
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wold-style-cast"
#pragma clang diagnostic ignored "-Wcast-align"
return (PY)p_x; // NOLINT(old-style-cast, cast-align)
#pragma clang diagnostic pop
}
} // namespace ck
#endif
composable_kernel/include/utility/common_header.hpp
View file @ 31b40352
......@@ -7,13 +7,14 @@
#include "statically_indexed_array.hpp"
#include "container_element_picker.hpp"
#include "multi_index.hpp"
#include "data_type_enum.hpp"
#include "data_type.hpp"
#include "data_type_helper.hpp"
#include "data_type_enum.hpp"
#include "data_type_enum_helper.hpp"
#include "functional.hpp"
#include "functional2.hpp"
#include "functional3.hpp"
#include "functional4.hpp"
#include "enable_if.hpp"
#include "integral_constant.hpp"
#include "math.hpp"
#include "number.hpp"
......@@ -23,21 +24,21 @@
#include "tuple.hpp"
#include "tuple_helper.hpp"
#include "type.hpp"
#include "utility.hpp"
#include "magic_division.hpp"
#include "amd_buffer_addressing_v2.hpp"
#include "utility.hpp"
#include "c_style_pointer_cast.hpp"
#include "amd_address_space.hpp"
#include "amd_buffer_addressing.hpp"
#include "static_buffer.hpp"
#include "dynamic_buffer.hpp"
#include "inner_product.hpp"
// TODO: remove this
#if CK_USE_AMD_INLINE_ASM
#include "amd_inline_asm.hpp"
#endif
#if CK_USE_AMD_DLOP
#include "amd_dlop.hpp"
#endif
#if CK_USE_AMD_XDLOPS
#include "amd_xdlops.hpp"
#endif
......
composable_kernel/include/utility/config.hpp
View file @ 31b40352
......@@ -7,19 +7,14 @@
#endif
#include "bfloat16_dev.hpp"
// address space for kernel parameter
// "Constant" address space for kernel parameter
#define CONSTANT __attribute__((address_space(4)))
// GPU target
// should enable one and only one GPU target
#if !(defined(CK_AMD_GPU_GFX803) || defined(CK_AMD_GPU_GFX900) || defined(CK_AMD_GPU_GFX906) || \
defined(CK_AMD_GPU_GFX908) || defined(CK_AMD_GPU_GFX90A) || defined(CK_AMD_GPU_GFX1030))
#error Need to define a single GPU target
#endif
// HIP version
#ifndef CK_HIP_VERSION_FLAT
#define CK_HIP_VERSION_FLAT 0
#error Need to define (only) one GPU target
#endif
// launch bounds
......@@ -38,6 +33,16 @@
#define CK_BUFFER_RESOURCE_3RD_DWORD 0x31014000
#endif
// FMA instruction
#if defined(CK_AMD_GPU_GFX803) || defined(CK_AMD_GPU_GFX900)
#define CK_USE_AMD_V_MAC_F32
#elif defined(CK_AMD_GPU_GFX906) || defined(CK_AMD_GPU_GFX908) || defined(CK_AMD_GPU_GFX90a) || \
defined(CK_AMD_GPU_GFX1030)
#define CK_USE_AMD_V_FMAC_F32
#define CK_USE_AMD_V_DOT2_F32_F16
#define CK_USE_AMD_V_DOT4_I32_I8
#endif
// multi index
#define CK_USE_DYNAMICALLY_INDEXED_MULTI_INDEX 0
......@@ -46,13 +51,9 @@
#define CK_USE_AMD_INLINE_ASM 1
#endif
// AMD DLOPS
#ifndef CK_USE_AMD_DLOP
#define CK_USE_AMD_DLOP 1
#endif
#ifndef CK_USE_AMD_DLOP_INLINE_ASM
#define CK_USE_AMD_DLOP_INLINE_ASM 1
// AMD inner product (DLOP)
#ifndef CK_USE_AMD_INNER_PRODUCT_INLINE_ASM
#define CK_USE_AMD_INNER_PRODUCT_INLINE_ASM 1
#endif
// AMD buffer addressing
......@@ -99,8 +100,8 @@
// hack for forcing register to keep idx_diff_low_const in SGPR. idx_diff_low_const must be
// thread-invariant, otherwise it's a bug
// TODO: separate index calculation into "compile-time", "global", "block", "wave", "thread"
#ifndef CK_HACK_DYNAMIC_MERGE_CALCULATE_IDX_DIFF_LOW_CONST_USE_AMD_GCN_READ_FIRST_LANE
#define CK_HACK_DYNAMIC_MERGE_CALCULATE_IDX_DIFF_LOW_CONST_USE_AMD_GCN_READ_FIRST_LANE 0
#ifndef CK_HACK_MERGE_CALCULATE_IDX_DIFF_LOW_CONST_USE_AMD_GCN_READ_FIRST_LANE
#define CK_HACK_MERGE_CALCULATE_IDX_DIFF_LOW_CONST_USE_AMD_GCN_READ_FIRST_LANE 0
#endif
// workaround for compiler crash when compiling recursive lambda
......@@ -120,15 +121,6 @@
namespace ck {
enum AddressSpaceEnum_t
{
Generic,
Global,
Lds,
Sgpr,
Vgpr
};
enum InMemoryDataOperationEnum_t
{
Set,
......
composable_kernel/include/utility/data_type_enum.hpp
View file @ 31b40352
......@@ -3,8 +3,7 @@
namespace ck {
// this enumerate should be synchronized with include/miopen.h
typedef enum
enum DataTypeEnum_t
{
Half = 0,
Float = 1,
......@@ -14,7 +13,7 @@ typedef enum
BFloat16 = 5,
Double = 6,
Unknown = 100,
} DataTypeEnum_t;
};
} // namespace ck
#endif
composable_kernel/include/utility/data_type_helper.hpp → composable_kernel/include/utility/data_type_enum_helper.hpp
View file @ 31b40352
#ifndef CK_DATA_TYPE_HELPER_HPP
#define CK_DATA_TYPE_HELPER_HPP
#ifndef CK_DATA_TYPE_ENUM_HELPER_HPP
#define CK_DATA_TYPE_ENUM_HELPER_HPP
#include "data_type.hpp"
#include "data_type_enum.hpp"
......
composable_kernel/include/utility/dynamic_buffer.hpp
View file @ 31b40352
#ifndef CK_DYNAMIC_BUFFER_HPP
#define CK_DYNAMIC_BUFFER_HPP
#ifndef CK_BUFFER_HPP
#define CK_BUFFER_HPP
namespace ck {
#include "amd_buffer_addressing.hpp"
#include "c_style_pointer_cast.hpp"
#include "enable_if.hpp"
#include "amd_buffer_addressing_v2.hpp"
namespace ck {
template <AddressSpaceEnum_t BufferAddressSpace, typename T, typename ElementSpaceSize>
template <AddressSpaceEnum_t BufferAddressSpace,
typename T,
typename ElementSpaceSize,
bool InvalidElementUseNumericalZeroValue>
struct DynamicBuffer
{
using type = T;
T* p_data_;
ElementSpaceSize element_space_size_;
T invalid_element_value_ = T{0};
__host__ __device__ constexpr DynamicBuffer(T* p_data, ElementSpaceSize element_space_size)
: p_data_{p_data}, element_space_size_{element_space_size}
{
}
__host__ __device__ constexpr DynamicBuffer(T* p_data,
ElementSpaceSize element_space_size,
T invalid_element_value)
: p_data_{p_data},
element_space_size_{element_space_size},
invalid_element_value_{invalid_element_value}
{
}
__host__ __device__ static constexpr AddressSpaceEnum_t GetAddressSpace()
{
return BufferAddressSpace;
}
__host__ __device__ constexpr const T& operator[](index_t i) const { return p_data_[i]; }
__host__ __device__ constexpr T& operator()(index_t i) { return p_data_[i]; }
template <typename X,
typename std::enable_if<
typename enable_if<
is_same<typename scalar_type<remove_cv_t<remove_reference_t<X>>>::type,
typename scalar_type<remove_cv_t<remove_reference_t<T>>>::type>::value,
bool>::type = false>
__host__ __device__ constexpr auto Get(index_t i, bool is_valid_offset) const
__host__ __device__ constexpr auto Get(index_t i, bool is_valid_element) const
{
// X contains multiple T
constexpr index_t scalar_per_t_vector =
......@@ -44,29 +55,50 @@ struct DynamicBuffer
static_assert(scalar_per_x_vector % scalar_per_t_vector == 0,
"wrong! X need to be multiple T");
constexpr index_t t_per_x = scalar_per_x_vector / scalar_per_t_vector;
if constexpr(GetAddressSpace() == AddressSpaceEnum_t::Global)
{
#if CK_USE_AMD_BUFFER_ADDRESSING
return amd_buffer_load_v2<remove_cv_t<remove_reference_t<T>>, t_per_x>(
p_data_, i, is_valid_offset, element_space_size_);
bool constexpr use_amd_buffer_addressing = true;
#else
return is_valid_offset ? *reinterpret_cast<const X*>(&p_data_[i]) : X{0};
bool constexpr use_amd_buffer_addressing = false;
#endif
if constexpr(GetAddressSpace() == AddressSpaceEnum_t::Global && use_amd_buffer_addressing)
{
constexpr index_t t_per_x = scalar_per_x_vector / scalar_per_t_vector;
if constexpr(InvalidElementUseNumericalZeroValue)
{
return amd_buffer_load_invalid_element_return_return_zero<
remove_cv_t<remove_reference_t<T>>,
t_per_x>(p_data_, i, is_valid_element, element_space_size_);
}
else
{
return amd_buffer_load_invalid_element_return_customized_value<
remove_cv_t<remove_reference_t<T>>,
t_per_x>(
p_data_, i, is_valid_element, element_space_size_, invalid_element_value_);
}
}
else
{
return is_valid_offset ? *reinterpret_cast<const X*>(&p_data_[i]) : X{0};
if constexpr(InvalidElementUseNumericalZeroValue)
{
return is_valid_element ? *c_style_pointer_cast<const X*>(&p_data_[i]) : X{0};
}
else
{
return is_valid_element ? *c_style_pointer_cast<const X*>(&p_data_[i])
: X{invalid_element_value_};
}
}
}
template <typename X,
typename std::enable_if<
typename enable_if<
is_same<typename scalar_type<remove_cv_t<remove_reference_t<X>>>::type,
typename scalar_type<remove_cv_t<remove_reference_t<T>>>::type>::value,
bool>::type = false>
__host__ __device__ void Set(index_t i, bool is_valid_offset, const X& x)
__host__ __device__ void Set(index_t i, bool is_valid_element, const X& x)
{
// X contains multiple T
constexpr index_t scalar_per_t_vector =
......@@ -78,26 +110,26 @@ struct DynamicBuffer
static_assert(scalar_per_x_vector % scalar_per_t_vector == 0,
"wrong! X need to be multiple T");
constexpr index_t t_per_x = scalar_per_x_vector / scalar_per_t_vector;
if constexpr(GetAddressSpace() == AddressSpaceEnum_t::Global)
{
#if CK_USE_AMD_BUFFER_ADDRESSING
amd_buffer_store_v2<remove_cv_t<remove_reference_t<T>>, t_per_x>(
x, p_data_, i, is_valid_offset, element_space_size_);
constexpr index_t t_per_x = scalar_per_x_vector / scalar_per_t_vector;
amd_buffer_store<remove_cv_t<remove_reference_t<T>>, t_per_x>(
x, p_data_, i, is_valid_element, element_space_size_);
#else
if(is_valid_offset)
if(is_valid_element)
{
*reinterpret_cast<X*>(&p_data_[i]) = x;
*c_style_pointer_cast<X*>(&p_data_[i]) = x;
}
#endif
}
else if constexpr(GetAddressSpace() == AddressSpaceEnum_t::Lds)
{
if(is_valid_offset)
if(is_valid_element)
{
#if !CK_WORKAROUND_SWDEV_XXXXXX_INT8_DS_WRITE_ISSUE
*reinterpret_cast<X*>(&p_data_[i]) = x;
*c_style_pointer_cast<X*>(&p_data_[i]) = x;
#else
// HACK: compiler would lower IR "store<i8, 16> address_space(3)" into
// inefficient
......@@ -128,24 +160,24 @@ struct DynamicBuffer
{
// HACK: cast pointer of x is bad
// TODO: remove this after compiler fix
*reinterpret_cast<int8_t*>(&p_data_[i]) =
*reinterpret_cast<const int8_t*>(&x);
*c_style_pointer_cast<int8_t*>(&p_data_[i]) =
*c_style_pointer_cast<const int8_t*>(&x);
}
else if constexpr(is_same<remove_cv_t<remove_reference_t<T>>, int8_t>::value &&
is_same<remove_cv_t<remove_reference_t<X>>, int8x2_t>::value)
{
// HACK: cast pointer of x is bad
// TODO: remove this after compiler fix
*reinterpret_cast<int16_t*>(&p_data_[i]) =
*reinterpret_cast<const int16_t*>(&x);
*c_style_pointer_cast<int16_t*>(&p_data_[i]) =
*c_style_pointer_cast<const int16_t*>(&x);
}
else if constexpr(is_same<remove_cv_t<remove_reference_t<T>>, int8_t>::value &&
is_same<remove_cv_t<remove_reference_t<X>>, int8x4_t>::value)
{
// HACK: cast pointer of x is bad
// TODO: remove this after compiler fix
*reinterpret_cast<int32_t*>(&p_data_[i]) =
*reinterpret_cast<const int32_t*>(&x);
*c_style_pointer_cast<int32_t*>(&p_data_[i]) =
*c_style_pointer_cast<const int32_t*>(&x);
}
else if constexpr(is_same<remove_cv_t<remove_reference_t<T>>,
int8x4_t>::value &&
......@@ -153,8 +185,8 @@ struct DynamicBuffer
{
// HACK: cast pointer of x is bad
// TODO: remove this after compiler fix
*reinterpret_cast<int32_t*>(&p_data_[i]) =
*reinterpret_cast<const int32_t*>(&x);
*c_style_pointer_cast<int32_t*>(&p_data_[i]) =
*c_style_pointer_cast<const int32_t*>(&x);
}
else if constexpr(is_same<remove_cv_t<remove_reference_t<T>>,
int8x8_t>::value &&
......@@ -162,8 +194,8 @@ struct DynamicBuffer
{
// HACK: cast pointer of x is bad
// TODO: remove this after compiler fix
*reinterpret_cast<int32x2_t*>(&p_data_[i]) =
*reinterpret_cast<const int32x2_t*>(&x);
*c_style_pointer_cast<int32x2_t*>(&p_data_[i]) =
*c_style_pointer_cast<const int32x2_t*>(&x);
}
else if constexpr(is_same<remove_cv_t<remove_reference_t<T>>,
int8x16_t>::value &&
......@@ -171,22 +203,22 @@ struct DynamicBuffer
{
// HACK: cast pointer of x is bad
// TODO: remove this after compiler fix
*reinterpret_cast<int32x4_t*>(&p_data_[i]) =
*reinterpret_cast<const int32x4_t*>(&x);
*c_style_pointer_cast<int32x4_t*>(&p_data_[i]) =
*c_style_pointer_cast<const int32x4_t*>(&x);
}
}
else
{
*reinterpret_cast<X*>(&p_data_[i]) = x;
*c_style_pointer_cast<X*>(&p_data_[i]) = x;
}
#endif
}
}
else
{
if(is_valid_offset)
if(is_valid_element)
{
*reinterpret_cast<X*>(&p_data_[i]) = x;
*c_style_pointer_cast<X*>(&p_data_[i]) = x;
}
}
}
......@@ -196,12 +228,18 @@ struct DynamicBuffer
__host__ __device__ static constexpr bool IsDynamicBuffer() { return true; }
};
template <AddressSpaceEnum_t BufferAddressSpace = AddressSpaceEnum_t::Generic,
typename T,
typename ElementSpaceSize>
template <AddressSpaceEnum_t BufferAddressSpace, typename T, typename ElementSpaceSize>
__host__ __device__ constexpr auto make_dynamic_buffer(T* p, ElementSpaceSize element_space_size)
{
return DynamicBuffer<BufferAddressSpace, T, ElementSpaceSize>{p, element_space_size};
return DynamicBuffer<BufferAddressSpace, T, ElementSpaceSize, true>{p, element_space_size};
}
template <AddressSpaceEnum_t BufferAddressSpace, typename T, typename ElementSpaceSize>
__host__ __device__ constexpr auto
make_dynamic_buffer(T* p, ElementSpaceSize element_space_size, T invalid_element_value)
{
return DynamicBuffer<BufferAddressSpace, T, ElementSpaceSize, false>{
p, element_space_size, invalid_element_value};
}
} // namespace ck
......
composable_kernel/include/utility/enable_if.hpp 0 → 100644
View file @ 31b40352
#ifndef CK_ENABLE_IF_HPP
#define CK_ENABLE_IF_HPP
namespace ck {
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;
} // namespace ck
#endif
composable_kernel/include/utility/inner_product.hpp 0 → 100644
View file @ 31b40352
#ifndef CK_INNER_PRODUCT_HPP
#define CK_INNER_PRODUCT_HPP
#include "data_type.hpp"
namespace ck {
template <typename TA, typename TB, typename TC>
__device__ void inner_product(const TA& a, const TB& b, TC& c);
template <>
__device__ void inner_product<float, float, float>(const float& a, const float& b, float& c)
{
#if CK_USE_AMD_INNER_PRODUCT_INLINE_ASM && defined(CK_USE_AMD_V_MAC_F32)
asm volatile("\n \
v_mac_f32 %0, %1, %2 \n \
"
: "=v"(c)
: "v"(a), "v"(b), "0"(c));
#elif CK_USE_AMD_INNER_PRODUCT_INLINE_ASM && defined(CK_USE_AMD_V_FMAC_F32)
asm volatile("\n \
v_fmac_f32 %0, %1, %2 \n \
"
: "=v"(c)
: "v"(a), "v"(b), "0"(c));
#else
c += a * b;
#endif
}
template <>
__device__ void
inner_product<float2_t, float2_t, float>(const float2_t& a, const float2_t& b, float& c)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
inner_product(vector_type<float, 2>{a}.AsType<float>()[I0],
vector_type<float, 2>{b}.AsType<float>()[I0],
c);
inner_product(vector_type<float, 2>{a}.AsType<float>()[I1],
vector_type<float, 2>{b}.AsType<float>()[I1],
c);
}
template <>
__device__ void
inner_product<float4_t, float4_t, float>(const float4_t& a, const float4_t& b, float& c)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
inner_product(vector_type<float, 4>{a}.AsType<float>()[I0],
vector_type<float, 4>{b}.AsType<float>()[I0],
c);
inner_product(vector_type<float, 4>{a}.AsType<float>()[I1],
vector_type<float, 4>{b}.AsType<float>()[I1],
c);
inner_product(vector_type<float, 4>{a}.AsType<float>()[I2],
vector_type<float, 4>{b}.AsType<float>()[I2],
c);
inner_product(vector_type<float, 4>{a}.AsType<float>()[I3],
vector_type<float, 4>{b}.AsType<float>()[I3],
c);
}
template <>
__device__ void inner_product<half2_t, half2_t, float>(const half2_t& a, const half2_t& b, float& c)
{
#if defined(CK_USE_AMD_V_DOT2_F32_F16)
#if CK_USE_AMD_INNER_PRODUCT_INLINE_ASM
asm volatile("\n \
v_dot2_f32_f16 %0, %1, %2, %0\n \
"
: "=v"(c)
: "v"(a), "v"(b), "0"(c));
#else
c = __builtin_amdgcn_sdot2(a, b, c, false);
#endif
#else
const auto convert = type_convert<int32_t>{};
const vector_type<half_t, 2> a_vector{a};
const vector_type<half_t, 2> b_vector{b};
static_for<0, 2, 1>{}([&](auto i) {
c += convert(a_vector.AsType<half_t>()[i]) * convert(b_vector.AsType<half_t>()[i]);
});
#endif
}
template <>
__device__ void inner_product<half4_t, half4_t, float>(const half4_t& a, const half4_t& b, float& c)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
inner_product(vector_type<half_t, 4>{a}.AsType<half2_t>()[I0],
vector_type<half_t, 4>{b}.AsType<half2_t>()[I0],
c);
inner_product(vector_type<half_t, 4>{a}.AsType<half2_t>()[I1],
vector_type<half_t, 4>{b}.AsType<half2_t>()[I1],
c);
}
template <>
__device__ void inner_product<half8_t, half8_t, float>(const half8_t& a, const half8_t& b, float& c)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
inner_product(vector_type<half_t, 8>{a}.AsType<half2_t>()[I0],
vector_type<half_t, 8>{b}.AsType<half2_t>()[I0],
c);
inner_product(vector_type<half_t, 8>{a}.AsType<half2_t>()[I1],
vector_type<half_t, 8>{b}.AsType<half2_t>()[I1],
c);
inner_product(vector_type<half_t, 8>{a}.AsType<half2_t>()[I2],
vector_type<half_t, 8>{b}.AsType<half2_t>()[I2],
c);
inner_product(vector_type<half_t, 8>{a}.AsType<half2_t>()[I3],
vector_type<half_t, 8>{b}.AsType<half2_t>()[I3],
c);
}
template <>
__device__ void
inner_product<int8x4_t, int8x4_t, int32_t>(const int8x4_t& a, const int8x4_t& b, int32_t& c)
{
#if defined(CK_USE_DOT4_I32_I8)
#if CK_USE_AMD_INNER_PRODUCT_INLINE_ASM
asm volatile("\n \
v_dot4_i32_i8 %0, %1, %2, %0\n \
"
: "=v"(c)
: "v"(as_type<int32_t>(a)), "v"(as_type<int32_t>(b)), "0"(c));
#else
c = __builtin_amdgcn_sdot4(as_type<int32_t>(a), as_type<int32_t>(b), c, false);
#endif
#else
const auto convert = type_convert<int32_t>{};
const vector_type<int8_t, 4> a_vector{a};
const vector_type<int8_t, 4> b_vector{b};
static_for<0, 4, 1>{}([&](auto i) {
c += convert(a_vector.AsType<int8_t>()[i]) * convert(b_vector.AsType<int8_t>()[i]);
});
#endif
}
template <>
__device__ void
inner_product<int8x8_t, int8x8_t, int32_t>(const int8x8_t& a, const int8x8_t& b, int32_t& c)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
inner_product(vector_type<int8_t, 8>{a}.AsType<int8x4_t>()[I0],
vector_type<int8_t, 8>{b}.AsType<int8x4_t>()[I0],
c);
inner_product(vector_type<int8_t, 8>{a}.AsType<int8x4_t>()[I1],
vector_type<int8_t, 8>{b}.AsType<int8x4_t>()[I1],
c);
}
template <>
__device__ void
inner_product<int8x16_t, int8x16_t, int32_t>(const int8x16_t& a, const int8x16_t& b, int32_t& c)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
inner_product(vector_type<int8_t, 16>{a}.AsType<int8x4_t>()[I0],
vector_type<int8_t, 16>{b}.AsType<int8x4_t>()[I0],
c);
inner_product(vector_type<int8_t, 16>{a}.AsType<int8x4_t>()[I1],
vector_type<int8_t, 16>{b}.AsType<int8x4_t>()[I1],
c);
inner_product(vector_type<int8_t, 16>{a}.AsType<int8x4_t>()[I2],
vector_type<int8_t, 16>{b}.AsType<int8x4_t>()[I2],
c);
inner_product(vector_type<int8_t, 16>{a}.AsType<int8x4_t>()[I3],
vector_type<int8_t, 16>{b}.AsType<int8x4_t>()[I3],
c);
}
} // namespace ck
#endif
composable_kernel/include/utility/math.hpp
View file @ 31b40352
......@@ -5,6 +5,7 @@
#include "integral_constant.hpp"
#include "number.hpp"
#include "type.hpp"
#include "enable_if.hpp"
namespace ck {
namespace math {
......@@ -27,13 +28,7 @@ struct minus
__host__ __device__ constexpr T operator()(T a, T b) const { return a - b; }
};
template <typename T>
struct multiplies
{
__host__ __device__ constexpr T operator()(T a, T b) const { return a * b; }
};
struct multiplies_v2
{
template <typename A, typename B>
__host__ __device__ constexpr auto operator()(const A& a, const B& b) const
......@@ -184,9 +179,7 @@ __host__ __device__ constexpr auto gcd(Number<X>, Number<Y>)
return Number<r>{};
}
template <typename X,
typename... Ys,
typename std::enable_if<sizeof...(Ys) >= 2, bool>::type = false>
template <typename X, typename... Ys, typename enable_if<sizeof...(Ys) >= 2, bool>::type = false>
__host__ __device__ constexpr auto gcd(X x, Ys... ys)
{
return gcd(x, gcd(ys...));
......@@ -199,9 +192,7 @@ __host__ __device__ constexpr auto lcm(X x, Y y)
return (x * y) / gcd(x, y);
}
template <typename X,
typename... Ys,
typename std::enable_if<sizeof...(Ys) >= 2, bool>::type = false>
template <typename X, typename... Ys, typename enable_if<sizeof...(Ys) >= 2, bool>::type = false>
__host__ __device__ constexpr auto lcm(X x, Ys... ys)
{
return lcm(x, lcm(ys...));
......
composable_kernel/include/utility/print.hpp
View file @ 31b40352
......@@ -11,59 +11,11 @@ namespace ck {
template <typename T>
__host__ __device__ void print_array(const char* s, T a)
{
using data_type = decltype(a.At(Number<0>{}));
constexpr index_t nsize = a.Size();
#if 0
if constexpr(is_same<data_type, uint32_t>{})
{
printf("%s size %u, {", s, nsize);
static_for<0, nsize, 1>{}([&a](auto i) constexpr { printf("%u, ", uint32_t{a[i]}); });
printf("}\n");
}
else if constexpr(is_same<data_type, int32_t>{})
{
printf("%s size %d, {", s, nsize);
static_for<0, nsize, 1>{}([&a](auto i) constexpr { printf("%d, ", int32_t{a[i]}); });
printf("}\n");
}
else if constexpr(is_same<data_type, bool>{})
{
printf("%s size %d, {", s, nsize);
static_for<0, nsize, 1>{}([&a](auto i) constexpr { printf("%d, ", bool{a[i]}); });
printf("}\n");
}
#else
printf("%s size %d, {", s, nsize);
static_for<0, nsize, 1>{}([&a](auto i) constexpr { printf("%d, ", int32_t{a[i]}); });
printf("}\n");
#endif
}
template <typename T>
__host__ __device__ void print_array_v2(const char* s, T a)
{
using data_type = decltype(a.At(Number<0>{}));
constexpr index_t nsize = a.Size();
#if 0
if constexpr(is_same<data_type, uint32_t>{})
{
printf("%s size %u, {", s, nsize);
static_for<0, nsize, 1>{}([&a](auto i) constexpr { printf("[%u] %u, ", i.value, a[i]); });
printf("}\n");
}
else if constexpr(is_same<data_type, int32_t>{})
{
printf("%s size %d, {", s, nsize);
static_for<0, nsize, 1>{}([&a](auto i) constexpr { printf("[%d] %d, ", i.value, a[i]); });
printf("}\n");
}
#else
printf("%s size %d, {", s, nsize);
static_for<0, nsize, 1>{}([&a](auto i) constexpr { printf("[%d] %d, ", i.value, a[i]); });
printf("}\n");
#endif
}
} // namespace ck
......
composable_kernel/include/utility/sequence.hpp
View file @ 31b40352
......@@ -685,8 +685,6 @@ __host__ __device__ constexpr auto operator+(Number<Y>, Sequence<Xs...>)
template <index_t Y, index_t... Xs>
__host__ __device__ constexpr auto operator-(Number<Y>, Sequence<Xs...>)
{
constexpr auto seq_x = Sequence<Xs...>{};
return Sequence<(Y - Xs)...>{};
}
......
composable_kernel/include/utility/static_buffer.hpp
View file @ 31b40352
......@@ -5,30 +5,66 @@
namespace ck {
template <AddressSpaceEnum_t BufferAddressSpace, typename T, index_t N>
template <AddressSpaceEnum_t BufferAddressSpace,
typename T,
index_t N,
bool InvalidElementUseNumericalZeroValue>
struct StaticBuffer : public StaticallyIndexedArray<T, N>
{
using type = T;
using base = StaticallyIndexedArray<T, N>;
T invalid_element_value_ = T{0};
__host__ __device__ constexpr StaticBuffer() : base{} {}
__host__ __device__ constexpr StaticBuffer(T invalid_element_value)
: base{}, invalid_element_value_{invalid_element_value}
{
}
__host__ __device__ static constexpr AddressSpaceEnum_t GetAddressSpace()
{
return BufferAddressSpace;
}
template <index_t I>
__host__ __device__ constexpr auto Get(Number<I> i, bool is_valid_element) const
{
if constexpr(InvalidElementUseNumericalZeroValue)
{
return is_valid_element ? At(i) : T{0};
}
else
{
return is_valid_element ? At(i) : invalid_element_value_;
}
}
template <index_t I>
__host__ __device__ void Set(Number<I> i, bool is_valid_element, const T& x)
{
if(is_valid_element)
{
At(i) = x;
}
}
__host__ __device__ static constexpr bool IsStaticBuffer() { return true; }
__host__ __device__ static constexpr bool IsDynamicBuffer() { return false; }
};
template <AddressSpaceEnum_t BufferAddressSpace = AddressSpaceEnum_t::Generic,
typename T,
index_t N>
template <AddressSpaceEnum_t BufferAddressSpace, typename T, index_t N>
__host__ __device__ constexpr auto make_static_buffer(Number<N>)
{
return StaticBuffer<BufferAddressSpace, T, N>{};
return StaticBuffer<BufferAddressSpace, T, N, true>{};
}
template <AddressSpaceEnum_t BufferAddressSpace, typename T, index_t N>
__host__ __device__ constexpr auto make_static_buffer(Number<N>, T invalid_element_value)
{
return StaticBuffer<BufferAddressSpace, T, N, false>{invalid_element_value};
}
} // namespace ck
......
composable_kernel/include/utility/tuple.hpp
View file @ 31b40352
......@@ -4,6 +4,7 @@
#include "integral_constant.hpp"
#include "sequence.hpp"
#include "type.hpp"
#include "enable_if.hpp"
namespace ck {
......@@ -20,10 +21,9 @@ struct TupleElement
{
__host__ __device__ constexpr TupleElement() = default;
template <
typename T,
typename std::enable_if<!is_same<remove_reference_t<remove_cv_t<T>>, TupleElement>::value,
bool>::type = false>
template <typename T,
typename enable_if<!is_same<remove_reference_t<remove_cv_t<T>>, TupleElement>::value,
bool>::type = false>
__host__ __device__ constexpr TupleElement(T&& v) : mData(std::forward<T>(v))
{
}
......@@ -58,17 +58,16 @@ struct TupleImpl<Sequence<Is...>, Xs...> : TupleElement<TupleElementKey<Is>, Xs>
{
__host__ __device__ constexpr TupleImpl() = default;
template <
typename Y,
typename std::enable_if<sizeof...(Is) == 1 && sizeof...(Xs) == 1 &&
!is_same<remove_reference_t<remove_cv_t<Y>>, TupleImpl>::value,
bool>::type = false>
template <typename Y,
typename enable_if<sizeof...(Is) == 1 && sizeof...(Xs) == 1 &&
!is_same<remove_reference_t<remove_cv_t<Y>>, TupleImpl>::value,
bool>::type = false>
__host__ __device__ constexpr TupleImpl(Y&& y)
: TupleElement<TupleElementKey<Is>, Xs>(std::forward<Y>(y))...
{
}
template <typename... Ys, typename std::enable_if<sizeof...(Ys) >= 2, bool>::type = false>
template <typename... Ys, typename enable_if<sizeof...(Ys) >= 2, bool>::type = false>
__host__ __device__ constexpr TupleImpl(Ys&&... ys)
: TupleElement<TupleElementKey<Is>, Xs>(std::forward<Ys>(ys))...
{
......@@ -102,16 +101,16 @@ struct Tuple : detail::TupleImpl<typename arithmetic_sequence_gen<0, sizeof...(X
__host__ __device__ constexpr Tuple() = default;
template <typename Y,
typename std::enable_if<
sizeof...(Xs) == 1 && !is_same<remove_reference_t<remove_cv_t<Y>>, Tuple>::value,
bool>::type = false>
typename enable_if<sizeof...(Xs) == 1 &&
!is_same<remove_reference_t<remove_cv_t<Y>>, Tuple>::value,
bool>::type = false>
__host__ __device__ constexpr Tuple(Y&& y) : base(std::forward<Y>(y))
{
}
template <typename... Ys,
typename std::enable_if<sizeof...(Ys) == sizeof...(Xs) && sizeof...(Ys) >= 2,
bool>::type = false>
typename enable_if<sizeof...(Ys) == sizeof...(Xs) && sizeof...(Ys) >= 2, bool>::type =
false>
__host__ __device__ constexpr Tuple(Ys&&... ys) : base(std::forward<Ys>(ys)...)
{
}
......
composable_kernel/include/utility/type.hpp
View file @ 31b40352
......@@ -2,6 +2,7 @@
#define CK_TYPE_HPP
#include "integral_constant.hpp"
#include "enable_if.hpp"
namespace ck {
......@@ -22,10 +23,7 @@ template <typename T>
using remove_cv_t = typename std::remove_cv<T>::type;
template <typename T>
constexpr std::remove_reference_t<T>&& move(T&& t) noexcept
{
return static_cast<typename std::remove_reference<T>::type&&>(t);
}
inline constexpr bool is_pointer_v = std::is_pointer<T>::value;
template <typename T>
struct is_known_at_compile_time;
......@@ -42,9 +40,7 @@ struct is_known_at_compile_time<integral_constant<T, X>>
static constexpr bool value = true;
};
template <typename Y,
typename X,
typename std::enable_if<sizeof(X) == sizeof(Y), bool>::type = false>
template <typename Y, typename X, typename enable_if<sizeof(X) == sizeof(Y), bool>::type = false>
__host__ __device__ constexpr Y as_type(X x)
{
union AsType
......
composable_kernel/src/kernel_wrapper/dynamic_convolution_forward_implicit_gemm_v4r4_dlops_nchw_kcyx_nkhw.cpp → composable_kernel/src/kernel_wrapper/convolution_forward_implicit_gemm_v4r4_dlops_nchw_kcyx_nkhw.cpp
View file @ 31b40352
#include "common_header.hpp"
#include "dynamic_tensor_descriptor.hpp"
#include "dynamic_tensor_descriptor_helper.hpp"
#include "gridwise_dynamic_gemm_dlops_v1r2.hpp"
#include "tensor_descriptor.hpp"
#include "tensor_descriptor_helper.hpp"
#include "gridwise_gemm_dlops_v1r2.hpp"
#include "transform_forward_convolution_into_gemm_v4r4_nchw_kcyx_nkhw.hpp"
using namespace ck;
......@@ -64,8 +64,7 @@ constexpr index_t CThreadTransferDstScalarPerVector = CK_PARAM_CThreadTransferDs
constexpr bool HasMainKBlockLoop = static_cast<bool>(CK_PARAM_HAS_MAIN_KBLOCK_LOOP);
constexpr bool HasDoubleTailKBlockLoop = static_cast<bool>(CK_PARAM_HAS_DOUBLE_TAIL_KBLOCK_LOOP);
extern "C" __global__ void
dynamic_convolution_forward_implicit_gemm_v4r4_dlops_nchw_kcyx_nkhw_prepare(
extern "C" __global__ void convolution_forward_implicit_gemm_v4r4_dlops_nchw_kcyx_nkhw_prepare(
int n,
int c,
int hi,
......@@ -93,12 +92,9 @@ dynamic_convolution_forward_implicit_gemm_v4r4_dlops_nchw_kcyx_nkhw_prepare(
const index_t ho = (hi + leftPadH + rightPadH - convDilationY * (y - 1) - 1) / convStrideH + 1;
const index_t wo = (wi + leftPadW + rightPadW - convDilationX * (x - 1) - 1) / convStrideW + 1;
const auto in_n_c_hi_wi_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(n, c, hi, wi));
const auto wei_k_c_y_x_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(k, c, y, x));
const auto out_n_k_ho_wo_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(n, k, ho, wo));
const auto in_n_c_hi_wi_desc = make_naive_tensor_descriptor_packed(make_tuple(n, c, hi, wi));
const auto wei_k_c_y_x_desc = make_naive_tensor_descriptor_packed(make_tuple(k, c, y, x));
const auto out_n_k_ho_wo_desc = make_naive_tensor_descriptor_packed(make_tuple(n, k, ho, wo));
const auto descs = transform_forward_convolution_into_gemm_v4r4_nchw_kcyx_nkhw_pad(
wei_k_c_y_x_desc,
......@@ -117,16 +113,16 @@ dynamic_convolution_forward_implicit_gemm_v4r4_dlops_nchw_kcyx_nkhw_prepare(
using BKNGridDesc = decltype(b_k_n_grid_desc);
using CMNGridDesc = decltype(c_m_n_grid_desc);
using AGridIteratorHacks = decltype(make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{}),
make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{})));
using AGridStepHacks = decltype(make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{}),
make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{})));
using BGridIteratorHacks =
using BGridStepHacks =
decltype(make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0>{}),
......@@ -134,65 +130,65 @@ dynamic_convolution_forward_implicit_gemm_v4r4_dlops_nchw_kcyx_nkhw_prepare(
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0>{})));
using CGridIteratorHacks = decltype(make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{}),
make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{})));
using AGridMoveSliceWindowIteratorHacks = Sequence<0, 0, 0, 0, 0>;
using BGridMoveSliceWindowIteratorHacks = Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0>;
using CGridStepHacks = decltype(make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{}),
make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{})));
using AGridMoveSliceWindowStepHacks = Sequence<0, 0, 0, 0, 0>;
using BGridMoveSliceWindowStepHacks = Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0>;
using GridwiseGemm =
GridwiseDynamicGemmDlops_km_kn_mn_v1r2<BlockSize,
FloatAB,
FloatAcc,
FloatC,
InMemoryDataOperationEnum_t::Set, /* ToDo tunable */
AKMGridDesc,
BKNGridDesc,
CMNGridDesc,
MPerBlock,
NPerBlock,
KPerBlock,
M1PerThread,
N1PerThread,
KPerThread,
M1N1ThreadClusterM10,
M1N1ThreadClusterN10,
M1N1ThreadClusterM11,
M1N1ThreadClusterN11,
ABlockTransferThreadSliceLengths_K_M0_M1,
ABlockTransferThreadClusterLengths_K_M0_M1,
ABlockTransferThreadClusterArrangeOrder,
ABlockTransferSrcAccessOrder,
ABlockTransferSrcVectorDim,
ABlockTransferSrcScalarPerVector,
ABlockTransferDstScalarPerVector_M1,
AThreadTransferSrcResetCoordinateAfterRun,
BBlockTransferThreadSliceLengths_K_N0_N1,
BBlockTransferThreadClusterLengths_K_N0_N1,
BBlockTransferThreadClusterArrangeOrder,
BBlockTransferSrcAccessOrder,
BBlockTransferSrcVectorDim,
BBlockTransferSrcScalarPerVector,
BBlockTransferDstScalarPerVector_N1,
BThreadTransferSrcResetCoordinateAfterRun,
CThreadTransferSrcDstAccessOrder,
CThreadTransferSrcDstVectorDim,
CThreadTransferDstScalarPerVector,
AGridIteratorHacks,
BGridIteratorHacks,
CGridIteratorHacks,
AGridMoveSliceWindowIteratorHacks,
BGridMoveSliceWindowIteratorHacks>;
GridwiseGemmDlops_km_kn_mn_v1r2<BlockSize,
FloatAB,
FloatAcc,
FloatC,
InMemoryDataOperationEnum_t::Set, /* ToDo tunable */
AKMGridDesc,
BKNGridDesc,
CMNGridDesc,
MPerBlock,
NPerBlock,
KPerBlock,
M1PerThread,
N1PerThread,
KPerThread,
M1N1ThreadClusterM10,
M1N1ThreadClusterN10,
M1N1ThreadClusterM11,
M1N1ThreadClusterN11,
ABlockTransferThreadSliceLengths_K_M0_M1,
ABlockTransferThreadClusterLengths_K_M0_M1,
ABlockTransferThreadClusterArrangeOrder,
ABlockTransferSrcAccessOrder,
ABlockTransferSrcVectorDim,
ABlockTransferSrcScalarPerVector,
ABlockTransferDstScalarPerVector_M1,
AThreadTransferSrcResetCoordinateAfterRun,
BBlockTransferThreadSliceLengths_K_N0_N1,
BBlockTransferThreadClusterLengths_K_N0_N1,
BBlockTransferThreadClusterArrangeOrder,
BBlockTransferSrcAccessOrder,
BBlockTransferSrcVectorDim,
BBlockTransferSrcScalarPerVector,
BBlockTransferDstScalarPerVector_N1,
BThreadTransferSrcResetCoordinateAfterRun,
CThreadTransferSrcDstAccessOrder,
CThreadTransferSrcDstVectorDim,
CThreadTransferDstScalarPerVector,
AGridStepHacks,
BGridStepHacks,
CGridStepHacks,
AGridMoveSliceWindowStepHacks,
BGridMoveSliceWindowStepHacks>;
auto a_k_m0_m1_grid_desc = GridwiseGemm::MakeAKM0M1GridDescriptor(a_k_m_grid_desc);
auto b_k_n0_n1_grid_desc = GridwiseGemm::MakeBKN0N1GridDescriptor(b_k_n_grid_desc);
......@@ -216,7 +212,7 @@ extern "C" __global__ void
#if CK_USE_LAUNCH_BOUNDS
__launch_bounds__(CK_MAX_THREAD_PER_BLOCK, CK_MIN_BLOCK_PER_CU)
#endif
dynamic_convolution_forward_implicit_gemm_v4r4_dlops_nchw_kcyx_nkhw(
convolution_forward_implicit_gemm_v4r4_dlops_nchw_kcyx_nkhw(
const FloatAB* __restrict__ p_a_grid,
const FloatAB* __restrict__ p_b_grid,
FloatC* __restrict__ p_c_grid,
......@@ -230,11 +226,11 @@ extern "C" __global__ void
constexpr auto I2 = Number<2>{};
constexpr auto in_n_c_hi_wi_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(256, 256, 28, 28));
make_naive_tensor_descriptor_packed(make_tuple(256, 256, 28, 28));
constexpr auto wei_k_c_y_x_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(256, 256, 3, 3));
make_naive_tensor_descriptor_packed(make_tuple(256, 256, 3, 3));
constexpr auto out_n_k_ho_wo_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(256, 256, 28, 28));
make_naive_tensor_descriptor_packed(make_tuple(256, 256, 28, 28));
constexpr auto descs =
transform_forward_convolution_into_gemm_v4r4_nchw_kcyx_nkhw_pad(wei_k_c_y_x_desc,
......@@ -253,16 +249,16 @@ extern "C" __global__ void
using BKNGridDesc = decltype(b_k_n_grid_desc);
using CMNGridDesc = decltype(c_m_n_grid_desc);
using AGridIteratorHacks = decltype(make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{}),
make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{})));
using AGridStepHacks = decltype(make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{}),
make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{})));
using BGridIteratorHacks =
using BGridStepHacks =
decltype(make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0>{}),
......@@ -270,65 +266,65 @@ extern "C" __global__ void
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0>{})));
using CGridIteratorHacks = decltype(make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{}),
make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{})));
using AGridMoveSliceWindowIteratorHacks = Sequence<0, 0, 0, 0, 0>;
using BGridMoveSliceWindowIteratorHacks = Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0>;
using CGridStepHacks = decltype(make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{}),
make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{})));
using AGridMoveSliceWindowStepHacks = Sequence<0, 0, 0, 0, 0>;
using BGridMoveSliceWindowStepHacks = Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0>;
using GridwiseGemm =
GridwiseDynamicGemmDlops_km_kn_mn_v1r2<BlockSize,
FloatAB,
FloatAcc,
FloatC,
InMemoryDataOperationEnum_t::Set, /* ToDo tunable */
AKMGridDesc,
BKNGridDesc,
CMNGridDesc,
MPerBlock,
NPerBlock,
KPerBlock,
M1PerThread,
N1PerThread,
KPerThread,
M1N1ThreadClusterM10,
M1N1ThreadClusterN10,
M1N1ThreadClusterM11,
M1N1ThreadClusterN11,
ABlockTransferThreadSliceLengths_K_M0_M1,
ABlockTransferThreadClusterLengths_K_M0_M1,
ABlockTransferThreadClusterArrangeOrder,
ABlockTransferSrcAccessOrder,
ABlockTransferSrcVectorDim,
ABlockTransferSrcScalarPerVector,
ABlockTransferDstScalarPerVector_M1,
AThreadTransferSrcResetCoordinateAfterRun,
BBlockTransferThreadSliceLengths_K_N0_N1,
BBlockTransferThreadClusterLengths_K_N0_N1,
BBlockTransferThreadClusterArrangeOrder,
BBlockTransferSrcAccessOrder,
BBlockTransferSrcVectorDim,
BBlockTransferSrcScalarPerVector,
BBlockTransferDstScalarPerVector_N1,
BThreadTransferSrcResetCoordinateAfterRun,
CThreadTransferSrcDstAccessOrder,
CThreadTransferSrcDstVectorDim,
CThreadTransferDstScalarPerVector,
AGridIteratorHacks,
BGridIteratorHacks,
CGridIteratorHacks,
AGridMoveSliceWindowIteratorHacks,
BGridMoveSliceWindowIteratorHacks>;
GridwiseGemmDlops_km_kn_mn_v1r2<BlockSize,
FloatAB,
FloatAcc,
FloatC,
InMemoryDataOperationEnum_t::Set, /* ToDo tunable */
AKMGridDesc,
BKNGridDesc,
CMNGridDesc,
MPerBlock,
NPerBlock,
KPerBlock,
M1PerThread,
N1PerThread,
KPerThread,
M1N1ThreadClusterM10,
M1N1ThreadClusterN10,
M1N1ThreadClusterM11,
M1N1ThreadClusterN11,
ABlockTransferThreadSliceLengths_K_M0_M1,
ABlockTransferThreadClusterLengths_K_M0_M1,
ABlockTransferThreadClusterArrangeOrder,
ABlockTransferSrcAccessOrder,
ABlockTransferSrcVectorDim,
ABlockTransferSrcScalarPerVector,
ABlockTransferDstScalarPerVector_M1,
AThreadTransferSrcResetCoordinateAfterRun,
BBlockTransferThreadSliceLengths_K_N0_N1,
BBlockTransferThreadClusterLengths_K_N0_N1,
BBlockTransferThreadClusterArrangeOrder,
BBlockTransferSrcAccessOrder,
BBlockTransferSrcVectorDim,
BBlockTransferSrcScalarPerVector,
BBlockTransferDstScalarPerVector_N1,
BThreadTransferSrcResetCoordinateAfterRun,
CThreadTransferSrcDstAccessOrder,
CThreadTransferSrcDstVectorDim,
CThreadTransferDstScalarPerVector,
AGridStepHacks,
BGridStepHacks,
CGridStepHacks,
AGridMoveSliceWindowStepHacks,
BGridMoveSliceWindowStepHacks>;
constexpr auto a_k_m0_m1_grid_desc_tmp =
GridwiseGemm::MakeAKM0M1GridDescriptor(a_k_m_grid_desc);
......
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment