mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-18 20:09:25 +00:00
9d5e41b586
* wmma_op + unit test
* add arch limitation to wmma test
* change arch limitation
* Refactor + Add all type unit test(int4 compile failed)
* Add f32_16x16x16_bf16 unit test
* tempsave
* tempsave
* tempsave
* runtime bug, cannot find symbol
* workaround for incorrect HIP warpSize return value
* debugging
* tempsave
* Correctness OK, waiting for optimization
* Tidy up + format
* temp save
* temp save, reproduce the v_bfi_b32 issue
* add inline asm for wmmaop test
* tidy up
* clean some debug purpose code
* discard some codes
* clang format
* clang format
* compiler issue fixed + increase tile size
[ROCm/composable_kernel commit: 919aeb1f52]
200 lines
6.6 KiB
C++
200 lines
6.6 KiB
C++
// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.
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#ifndef CK_AMD_WMMA_HPP
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#define CK_AMD_WMMA_HPP
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#include "ck/utility/amd_inline_asm.hpp"
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#include "data_type.hpp"
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// TODO: Add arch limitation
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namespace ck {
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/********************************WAVE32 MODE***********************************************/
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// src: fp16, dst: fp32
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template <index_t MPerWave, index_t NPerWave>
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struct intrin_wmma_f32_16x16x16_f16_w32;
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template <>
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struct intrin_wmma_f32_16x16x16_f16_w32<16, 16>
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{
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template <class FloatC>
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__device__ static void Run(const half16_t& reg_a, const half16_t& reg_b, FloatC& reg_c)
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{
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// * Inline assembly need to elimate the duplicated data load, compiler won't help you
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// delete them.
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amd_assembly_wmma_f32_16x16x16_f16_w32(
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reg_a, reg_b, reg_c.template AsType<float8_t>()(Number<0>{}));
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// reg_c.template AsType<float8_t>()(Number<0>{}) =
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// __builtin_amdgcn_wmma_f32_16x16x16_f16_w32( reg_a, reg_b, reg_c.template
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// AsType<float8_t>()[Number<0>{}]);
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}
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};
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// src: bf16, dst: fp32
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template <index_t MPerWave, index_t NPerWave>
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struct intrin_wmma_f32_16x16x16_bf16_w32;
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template <>
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struct intrin_wmma_f32_16x16x16_bf16_w32<16, 16>
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{
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template <class FloatC>
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__device__ static void Run(const bhalf16_t& reg_a, const bhalf16_t& reg_b, FloatC& reg_c)
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{
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reg_c.template AsType<float8_t>()(Number<0>{}) =
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__builtin_amdgcn_wmma_f32_16x16x16_bf16_w32(
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reg_a, reg_b, reg_c.template AsType<float8_t>()[Number<0>{}]);
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}
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};
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// src: fp16, dst: fp16
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template <index_t MPerWave, index_t NPerWave, index_t Opsel>
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struct intrin_wmma_f16_16x16x16_f16_w32;
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template <index_t Opsel>
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struct intrin_wmma_f16_16x16x16_f16_w32<16, 16, Opsel>
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{
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template <class FloatC>
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__device__ static void Run(const half16_t& reg_a, const half16_t& reg_b, FloatC& reg_c)
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{
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// opsel usage
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// false: D0.[0:15] = result
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// true : D0.[16:31]= result
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reg_c.template AsType<half16_t>()(Number<0>{}) = __builtin_amdgcn_wmma_f16_16x16x16_f16_w32(
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reg_a, reg_b, reg_c.template AsType<half16_t>()[Number<0>{}], Opsel);
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}
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};
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// src: bf16, dst: bf16
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template <index_t MPerWave, index_t NPerWave, index_t Opsel>
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struct intrin_wmma_bf16_16x16x16_bf16_w32;
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template <index_t Opsel>
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struct intrin_wmma_bf16_16x16x16_bf16_w32<16, 16, Opsel>
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{
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template <class FloatC>
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__device__ static void Run(const bhalf16_t& reg_a, const bhalf16_t& reg_b, FloatC& reg_c)
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{
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// opsel usage
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// false: D0.[0:15] = result
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// true : D0.[16:31]= result
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reg_c.template AsType<bhalf16_t>()(Number<0>{}) =
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__builtin_amdgcn_wmma_bf16_16x16x16_bf16_w32(
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reg_a, reg_b, reg_c.template AsType<bhalf16_t>()[Number<0>{}], Opsel);
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}
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};
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// src: iu8, dst: i32
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template <index_t MPerWave, index_t NPerWave, bool neg_a, bool neg_b, bool clamp>
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struct intrin_wmma_i32_16x16x16_iu8_w32;
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template <bool neg_a, bool neg_b, bool clamp>
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struct intrin_wmma_i32_16x16x16_iu8_w32<16, 16, neg_a, neg_b, clamp>
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{
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template <class FloatC>
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__device__ static void Run(const int8x16_t& reg_a, const int8x16_t& reg_b, FloatC& reg_c)
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{
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reg_c.template AsType<int32x8_t>()(Number<0>{}) =
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__builtin_amdgcn_wmma_i32_16x16x16_iu8_w32(
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neg_a,
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bit_cast<int32x4_t>(reg_a),
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neg_b,
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bit_cast<int32x4_t>(reg_b),
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reg_c.template AsType<int32x8_t>()[Number<0>{}],
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clamp);
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}
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};
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/********************************WAVE64 MODE***********************************************/
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template <index_t MPerWave, index_t NPerWave>
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struct intrin_wmma_f32_16x16x16_f16_w64;
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template <>
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struct intrin_wmma_f32_16x16x16_f16_w64<16, 16>
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{
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template <class FloatC>
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__device__ static void Run(const half16_t& reg_a, const half16_t& reg_b, FloatC& reg_c)
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{
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reg_c.template AsType<float4_t>()(Number<0>{}) = __builtin_amdgcn_wmma_f32_16x16x16_f16_w64(
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reg_a, reg_b, reg_c.template AsType<float4_t>()[Number<0>{}]);
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}
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};
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// src: bf16, dst: fp32
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template <index_t MPerWave, index_t NPerWave>
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struct intrin_wmma_f32_16x16x16_bf16_w64;
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template <>
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struct intrin_wmma_f32_16x16x16_bf16_w64<16, 16>
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{
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template <class FloatC>
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__device__ static void Run(const bhalf16_t& reg_a, const bhalf16_t& reg_b, FloatC& reg_c)
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{
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reg_c.template AsType<float4_t>()(Number<0>{}) =
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__builtin_amdgcn_wmma_f32_16x16x16_bf16_w64(
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reg_a, reg_b, reg_c.template AsType<float4_t>()[Number<0>{}]);
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}
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};
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// src: fp16, dst: fp16
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template <index_t MPerWave, index_t NPerWave, index_t Opsel>
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struct intrin_wmma_f16_16x16x16_f16_w64;
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template <index_t Opsel>
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struct intrin_wmma_f16_16x16x16_f16_w64<16, 16, Opsel>
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{
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template <class FloatC>
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__device__ static void Run(const half16_t& reg_a, const half16_t& reg_b, FloatC& reg_c)
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{
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// opsel usage
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// false: D0.[0:15] = result
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// true : D0.[16:31]= result
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reg_c.template AsType<half8_t>()(Number<0>{}) = __builtin_amdgcn_wmma_f16_16x16x16_f16_w64(
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reg_a, reg_b, reg_c.template AsType<half8_t>()[Number<0>{}], Opsel);
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}
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};
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// src: bf16, dst: bf16
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template <index_t MPerWave, index_t NPerWave, index_t Opsel>
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struct intrin_wmma_bf16_16x16x16_bf16_w64;
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template <index_t Opsel>
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struct intrin_wmma_bf16_16x16x16_bf16_w64<16, 16, Opsel>
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{
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template <class FloatC>
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__device__ static void Run(const bhalf16_t& reg_a, const bhalf16_t& reg_b, FloatC& reg_c)
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{
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// opsel usage
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// false: D0.[0:15] = result
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// true : D0.[16:31]= result
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reg_c.template AsType<bhalf8_t>()(Number<0>{}) =
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__builtin_amdgcn_wmma_bf16_16x16x16_bf16_w64(
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reg_a, reg_b, reg_c.template AsType<bhalf8_t>()[Number<0>{}], Opsel);
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}
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};
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// src: iu8, dst: i32
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template <index_t MPerWave, index_t NPerWave, bool neg_a, bool neg_b, bool clamp>
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struct intrin_wmma_i32_16x16x16_iu8_w64;
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template <bool neg_a, bool neg_b, bool clamp>
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struct intrin_wmma_i32_16x16x16_iu8_w64<16, 16, neg_a, neg_b, clamp>
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{
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template <class FloatC>
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__device__ static void Run(const int8x16_t& reg_a, const int8x16_t& reg_b, FloatC& reg_c)
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{
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reg_c.template AsType<int32x4_t>()(Number<0>{}) =
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__builtin_amdgcn_wmma_i32_16x16x16_iu8_w64(
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neg_a,
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bit_cast<int32x4_t>(reg_a),
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neg_b,
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bit_cast<int32x4_t>(reg_b),
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reg_c.template AsType<int32x4_t>()[Number<0>{}],
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clamp);
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}
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};
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} // namespace ck
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#endif
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