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https://github.com/ROCm/composable_kernel.git
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186 lines
8.8 KiB
C++
186 lines
8.8 KiB
C++
// SPDX-License-Identifier: MIT
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// Copyright (c) 2023, Advanced Micro Devices, Inc. All rights reserved.
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#include <cstdlib>
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#include <iostream>
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#include <initializer_list>
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#include <tuple>
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#include <vector>
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#include <gtest/gtest.h>
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#include "profiler/profile_batched_gemm_impl.hpp"
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#include "ck/library/tensor_operation_instance/gpu/batched_gemm.hpp"
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struct GemmParams
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{
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ck::index_t M;
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ck::index_t N;
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ck::index_t K;
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ck::index_t BatchCount;
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};
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class TestBatchedGemm : public ::testing::Test
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{
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protected:
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using Row = ck::tensor_layout::gemm::RowMajor;
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using Col = ck::tensor_layout::gemm::ColumnMajor;
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using PassThrough = ck::tensor_operation::element_wise::PassThrough;
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std::vector<GemmParams> params;
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template <typename DataType>
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void Run()
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{
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using namespace ck::tensor_operation::device;
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bool pass = true;
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for(auto& param : params)
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{
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const auto M = param.M;
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const auto N = param.N;
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const auto K = param.K;
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const auto BatchCount = param.BatchCount;
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pass =
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pass && ck::profiler::profile_batched_gemm_impl<DataType,
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DataType,
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DataType,
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Row,
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Row,
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Row,
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PassThrough,
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PassThrough,
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PassThrough,
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DeviceBatchedGemm<Row,
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Row,
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Row,
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DataType,
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DataType,
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DataType,
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PassThrough,
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PassThrough,
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PassThrough>>(
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true, 1, false, 1, M, N, K, K, N, N, M * K, K * N, M * N, BatchCount);
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pass =
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pass && ck::profiler::profile_batched_gemm_impl<DataType,
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DataType,
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DataType,
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Row,
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Col,
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Row,
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PassThrough,
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PassThrough,
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PassThrough,
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DeviceBatchedGemm<Row,
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Col,
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Row,
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DataType,
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DataType,
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DataType,
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PassThrough,
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PassThrough,
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PassThrough>>(
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true, 1, false, 1, M, N, K, K, K, N, M * K, K * N, M * N, BatchCount);
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pass =
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pass && ck::profiler::profile_batched_gemm_impl<DataType,
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DataType,
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DataType,
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Col,
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Row,
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Row,
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PassThrough,
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PassThrough,
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PassThrough,
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DeviceBatchedGemm<Col,
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Row,
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Row,
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DataType,
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DataType,
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DataType,
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PassThrough,
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PassThrough,
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PassThrough>>(
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true, 1, false, 1, M, N, K, M, N, N, M * K, K * N, M * N, BatchCount);
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pass =
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pass && ck::profiler::profile_batched_gemm_impl<DataType,
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DataType,
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DataType,
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Col,
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Col,
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Row,
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PassThrough,
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PassThrough,
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PassThrough,
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DeviceBatchedGemm<Col,
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Col,
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Row,
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DataType,
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DataType,
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DataType,
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PassThrough,
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PassThrough,
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PassThrough>>(
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true, 1, false, 1, M, N, K, M, K, N, M * K, K * N, M * N, BatchCount);
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}
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EXPECT_TRUE(pass);
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}
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};
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#ifdef CK_ENABLE_INT8
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TEST_F(TestBatchedGemm, i8)
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{
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this->params.push_back({64, 64, 64, 2});
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this->params.push_back({64, 64, 64, 1});
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this->params.push_back({60, 60, 60, 2});
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this->params.push_back({68, 68, 68, 2});
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this->params.push_back({40, 40, 40, 2});
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this->params.push_back({256, 256, 128, 3});
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this->template Run<int8_t>();
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}
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#endif
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#ifdef CK_ENABLE_BF16
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TEST_F(TestBatchedGemm, bf16)
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{
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this->params.push_back({64, 64, 64, 2});
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this->params.push_back({64, 64, 64, 1});
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this->params.push_back({60, 60, 60, 2});
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this->params.push_back({68, 68, 68, 2});
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this->params.push_back({40, 40, 40, 2});
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this->params.push_back({256, 256, 128, 3});
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this->template Run<ck::bhalf_t>();
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}
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#endif
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#ifdef CK_ENABLE_FP16
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TEST_F(TestBatchedGemm, fp16)
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{
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this->params.push_back({64, 64, 64, 2});
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this->params.push_back({64, 64, 64, 1});
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this->params.push_back({60, 60, 60, 2});
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this->params.push_back({68, 68, 68, 2});
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this->params.push_back({40, 40, 40, 2});
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this->params.push_back({256, 256, 128, 3});
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this->template Run<ck::half_t>();
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}
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#endif
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#ifdef CK_ENABLE_FP32
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TEST_F(TestBatchedGemm, fp32)
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{
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this->params.push_back({64, 64, 64, 2});
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this->params.push_back({64, 64, 64, 1});
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this->params.push_back({60, 60, 60, 2});
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this->params.push_back({68, 68, 68, 2});
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this->params.push_back({40, 40, 40, 2});
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this->params.push_back({256, 256, 128, 3});
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this->template Run<float>();
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}
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#endif
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