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59 lines
2.5 KiB
C++
59 lines
2.5 KiB
C++
// SPDX-License-Identifier: MIT
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// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
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#include "common.hpp"
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#include "ck/tensor_operation/gpu/device/impl/device_gemm_xdl_cshuffle_streamk_v3.hpp"
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using ADataType = ck::f8_t;
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using BDataType = ck::f8_t;
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using AccDataType = float;
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using CShuffleDataType = ck::half_t;
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using CDataType = ck::half_t;
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using ALayout = Row;
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using BLayout = Col;
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using CLayout = Row;
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using AElementOp = PassThrough;
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using BElementOp = PassThrough;
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using CElementOp = PassThrough;
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static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
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// clang-format off
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using DeviceGemmV2_Streamk_Instance =
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ck::tensor_operation::device::DeviceGemm_Xdl_CShuffle_Streamk_V3<
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ALayout, BLayout, CLayout,
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ADataType, BDataType, CDataType, AccDataType, CShuffleDataType,
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PassThrough, PassThrough, PassThrough, GemmDefault,
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256,
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128, 256,
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128, 16, 16,
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16, 16,
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4, 8,
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S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>,
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2, 16, 16, 1,
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S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>,
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2, 16, 16, 1,
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1, 2, S<1, 32, 1, 8>, 8,
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ck::BlockGemmPipelineScheduler::Intrawave,ck::BlockGemmPipelineVersion::v3, ck::f8_t>;
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// clang-format on
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using ReferenceGemmInstance = ck::tensor_operation::host::
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ReferenceGemm<ADataType, BDataType, CDataType, AccDataType, AElementOp, BElementOp, CElementOp>;
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using ReferenceGemmInstanceGPU = ck::tensor_operation::device::ReferenceGemm<ALayout,
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BLayout,
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CLayout,
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ADataType,
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BDataType,
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CDataType,
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AccDataType,
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AElementOp,
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BElementOp,
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CElementOp>;
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#include "run_gemm_example_streamk_v2.inc"
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int main(int argc, char* argv[]) { return !run_gemm_universal_streamk_example(argc, argv); }
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