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[rocm-libraries] ROCm/rocm-libraries#4584 (commit 42efd1d)
[CK_TILE][FMHA] Support gfx11 ## Motivation Add support of gfx11 architectures (RDNA3) to FMHA. ## Technical Details Distributions (matrix elements to lane registers mapping) of gfx11 WMMA are completely different from distributions of gfx9 MFMA and gfx12 WMMA. There are two cases in FMHA where this difference matters: * usage of results (matrix C) of one GEMM as input (matrix A) of another GEMM. * random number generation for dropout (implementation for gfx9 MFMA, gfx12 WMMA and host validation produce the same results). Both cases are solved by a special remapping implemented using `__builtin_amdgcn_permlanex16` and `__builtin_amdgcn_perm`. Additional changes: * FMHA tests are now build and run only for those types for which instances exist (gfx11 supports only fp16 and bf16). * Two fixes for uninitialized values (`mask.sink` and `do_fp8_static_quant`): they may contain garbage resulting in incorrect dispatching logic, sometimes tests report that there are no instance available for current parameters. * Small fix to remove expcnt(0) from s_waitcnt instruction on gfx11 when they are not requested (i.e. every time), likely has no effect on performance but makes disassembly a bit clearer. ## Test Plan ``` ninja test_ck_tile_fmha bin/test_ck_tile_fmha_fwd_fp16 bin/test_ck_tile_fmha_fwd_bf16 bin/test_ck_tile_fmha_bwd_fp16 bin/test_ck_tile_fmha_bwd_bf16 ``` ## Test Result All tests must pass (some tests may be skipped). ## Submission Checklist - [x] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests.
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include/ck_tile/ops/gemm/warp/warp_wmma_gemm_gfx11_utils.hpp
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include/ck_tile/ops/gemm/warp/warp_wmma_gemm_gfx11_utils.hpp
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// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
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// SPDX-License-Identifier: MIT
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#pragma once
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#include "ck_tile/core.hpp"
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namespace ck_tile {
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// C distribution of gfx11 WMMA is not compatible with A distribution:
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// C: 2 lanes per row (lane and lane + 16), 8 values per lane are interleaved.
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// A: 1 lane per row, 16 values, lane and lane + 16 have the same values.
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// This function transforms one ditribution to another for GEMM-GEMM scenarios.
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template <typename OutTensor, typename InTensor>
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CK_TILE_DEVICE static constexpr void PermuteWarpGemmCToA(OutTensor& out, const InTensor& in)
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{
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#if defined(__gfx11__)
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static_assert(sizeof(typename OutTensor::DataType) == 2);
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static_assert(std::is_same_v<typename OutTensor::DataType, typename InTensor::DataType>);
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constexpr index_t n_out = OutTensor::get_thread_buffer_size();
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static_assert(n_out == InTensor::get_thread_buffer_size() * 2);
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// Perm byte selectors are swapped for the second row (16 lanes) because it needs to be done
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// once instead to swapping w and v everytime
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const uint32_t byte_selector0 = get_lane_id() < 16 ? 0x05'04'01'00 : 0x01'00'05'04;
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const uint32_t byte_selector1 = get_lane_id() < 16 ? 0x07'06'03'02 : 0x03'02'07'06;
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static_for<0, n_out, 1>{}([&](auto i) {
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const auto v = in.get_thread_buffer().template get_as<uint32_t>(i);
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// Swap rows (lane <-> lane ^ 16)
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const auto w = __builtin_amdgcn_permlanex16(0, v, 0x76543210, 0xfedcba98, false, true);
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// Interleave values of lane and lane ^ 16
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out.get_thread_buffer().template set_as<uint32_t>(
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number<i * 2 + 0>{}, __builtin_amdgcn_perm(w, v, byte_selector0));
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out.get_thread_buffer().template set_as<uint32_t>(
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number<i * 2 + 1>{}, __builtin_amdgcn_perm(w, v, byte_selector1));
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});
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#else
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static_assert(false, "PermuteWarpGemmCToA is only for gfx11");
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ignore = out;
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ignore = in;
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#endif
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}
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} // namespace ck_tile
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