mirror of
https://github.com/ROCm/composable_kernel.git
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764164b488
* Add bf16 instances * Add bf16 gemm universal example * tempsave * Add guard to navi compilation * workground on a specific mixed gemm instance ( bring back it when compiler fix upload) * fix formatting condition statement issue * solve conflict --------- Co-authored-by: Jun Liu <Liu.Jun@amd.com>
298 lines
9.3 KiB
C++
298 lines
9.3 KiB
C++
// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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template <typename DataType>
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inline __host__ __device__ constexpr double get_rtol()
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{
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if constexpr(std::is_same_v<DataType, float>)
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{
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return 1e-3;
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}
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else if constexpr(std::is_same_v<DataType, double>)
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{
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return 1e-6;
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}
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else if constexpr(std::is_same_v<DataType, ck::half_t>)
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{
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return 1e-3;
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}
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else if constexpr(std::is_same_v<DataType, ck::bhalf_t>)
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{
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return 5e-2;
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}
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else if constexpr(std::is_same_v<DataType, int32_t>)
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{
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return 1e-1;
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}
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else if constexpr(std::is_same_v<DataType, int8_t>)
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{
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return 1e-1;
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}
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else if constexpr(std::is_same_v<DataType, ck::f8_t>)
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{
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return 1e-1; // 240 and 224 are acceptable
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}
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else if constexpr(std::is_same_v<DataType, ck::bf8_t>)
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{
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return 1.5e-1; // 57344 and 49152 are acceptable
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}
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else
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{
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return 1e-3;
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}
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}
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template <typename DataType>
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inline __host__ __device__ constexpr double get_atol()
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{
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if constexpr(std::is_same_v<DataType, float>)
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{
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return 1e-3;
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}
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else if constexpr(std::is_same_v<DataType, double>)
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{
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return 1e-6;
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}
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else if constexpr(std::is_same_v<DataType, ck::half_t>)
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{
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return 1e-3;
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}
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else if constexpr(std::is_same_v<DataType, ck::bhalf_t>)
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{
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return 5e-2;
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}
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else if constexpr(std::is_same_v<DataType, int32_t>)
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{
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return 1e-1;
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}
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else if constexpr(std::is_same_v<DataType, int8_t>)
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{
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return 1e-1;
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}
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else if constexpr(std::is_same_v<DataType, ck::f8_t>)
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{
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return 16.1; // 240 and 224 are acceptable
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}
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else if constexpr(std::is_same_v<DataType, ck::bf8_t>)
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{
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return 8192.1; // 57344 and 49152 are acceptable
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}
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else
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{
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return 1e-3;
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}
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}
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template <typename ProblemType>
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bool run_gemm(const ProblemType& problem_size, const ExecutionConfig& config)
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{
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#if defined(BUILD_INT4_EXAMPLE) && defined(CK_EXPERIMENTAL_BIT_INT_EXTENSION_INT4)
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static_assert(sizeof(ck::int4_t) == sizeof(int8_t));
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#endif
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using namespace ck::literals;
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auto M = problem_size.M;
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auto N = problem_size.N;
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auto K = problem_size.K;
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auto StrideA = problem_size.StrideA;
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auto StrideB = problem_size.StrideB;
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auto StrideC = problem_size.StrideC;
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auto KBatch = problem_size.KBatch;
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auto f_host_tensor_descriptor =
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[](std::size_t row, std::size_t col, std::size_t stride, auto layout) {
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if constexpr(std::is_same_v<decltype(layout), ck::tensor_layout::gemm::RowMajor>)
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{
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return HostTensorDescriptor({row, col}, {stride, 1_uz});
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}
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else
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{
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return HostTensorDescriptor({row, col}, {1_uz, stride});
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}
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};
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auto f_get_default_stride =
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[](std::size_t row, std::size_t col, std::size_t stride, auto layout) {
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if(stride == 0)
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{
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// give a chance if stride is zero, return a default packed stride
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if constexpr(std::is_same_v<decltype(layout), ck::tensor_layout::gemm::RowMajor>)
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{
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return col;
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}
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else
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{
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return row;
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}
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}
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else
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return stride;
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};
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StrideA = f_get_default_stride(M, K, StrideA, ALayout{});
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StrideB = f_get_default_stride(K, N, StrideB, BLayout{});
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StrideC = f_get_default_stride(M, N, StrideC, CLayout{});
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Tensor<ADataType> a_m_k(f_host_tensor_descriptor(M, K, StrideA, ALayout{}));
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Tensor<BDataType> b_k_n(f_host_tensor_descriptor(K, N, StrideB, BLayout{}));
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switch(config.init_method)
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{
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case 0:
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a_m_k.GenerateTensorValue(GeneratorTensor_1<ADataType>{1});
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b_k_n.GenerateTensorValue(GeneratorTensor_1<BDataType>{1});
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break;
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case 1:
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a_m_k.GenerateTensorValue(GeneratorTensor_2<ADataType>{-2, 2});
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b_k_n.GenerateTensorValue(GeneratorTensor_2<BDataType>{-2, 2});
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break;
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case 2:
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a_m_k.GenerateTensorValue(GeneratorTensor_1<ADataType>{1});
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b_k_n.GenerateTensorValue(GeneratorTensor_2<BDataType>{-2, 2});
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break;
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case 3:
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a_m_k.GenerateTensorValue(GeneratorTensor_2<ADataType>{-2, 2});
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b_k_n.GenerateTensorValue(GeneratorTensor_1<BDataType>{1});
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break;
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default:
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a_m_k.GenerateTensorValue(GeneratorTensor_3<ADataType>{0.0, 1.0});
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b_k_n.GenerateTensorValue(GeneratorTensor_3<BDataType>{-0.5, 0.5});
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}
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#if 0
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printf("B matrix:\n");
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for (int in = 0; in < N; in++)
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{
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for (int ik = 0; ik < K; ik++)
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{
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printf("%02x ", *(reinterpret_cast<uint8_t*>(&b_k_n(ik,in))));
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if(ik%8==7) printf("|");
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}
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printf("\n");
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}
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#endif
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Tensor<CDataType> c_m_n_host_result(f_host_tensor_descriptor(M, N, StrideC, CLayout{}));
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Tensor<CDataType> c_m_n_device_result(f_host_tensor_descriptor(M, N, StrideC, CLayout{}));
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std::cout << "a_m_k: " << a_m_k.mDesc << std::endl;
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std::cout << "b_k_n: " << b_k_n.mDesc << std::endl;
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std::cout << "c_m_n: " << c_m_n_host_result.mDesc << std::endl;
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#ifdef BUILD_INT4_EXAMPLE
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DeviceMem a_m_k_device_buf(sizeof(KernelADataType) * a_m_k.mDesc.GetElementSpaceSize());
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DeviceMem b_k_n_device_buf(sizeof(KernelBDataType) * b_k_n.mDesc.GetElementSpaceSize());
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DeviceMem c_m_n_device_buf(sizeof(KernelCDataType) *
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c_m_n_device_result.mDesc.GetElementSpaceSize());
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const Tensor<KernelADataType> a_m_k_converted(a_m_k);
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const Tensor<KernelBDataType> b_k_n_converted(b_k_n);
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a_m_k_device_buf.ToDevice(a_m_k_converted.mData.data());
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b_k_n_device_buf.ToDevice(b_k_n_converted.mData.data());
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#else
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DeviceMem a_m_k_device_buf(sizeof(ADataType) * a_m_k.mDesc.GetElementSpaceSize());
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DeviceMem b_k_n_device_buf(sizeof(BDataType) * b_k_n.mDesc.GetElementSpaceSize());
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DeviceMem c_m_n_device_buf(sizeof(CDataType) * c_m_n_device_result.mDesc.GetElementSpaceSize());
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a_m_k_device_buf.ToDevice(a_m_k.mData.data());
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b_k_n_device_buf.ToDevice(b_k_n.mData.data());
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#endif
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DeviceMem workspace;
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auto a_element_op = AElementOp{};
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auto b_element_op = BElementOp{};
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auto c_element_op = CElementOp{};
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// do GEMM
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auto gemm = DeviceGemmV2Instance{};
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auto invoker = gemm.MakeInvoker();
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float ave_time = 0;
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auto argument = gemm.MakeArgument(
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#ifdef BUILD_INT4_EXAMPLE
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static_cast<KernelADataType*>(a_m_k_device_buf.GetDeviceBuffer()),
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static_cast<KernelBDataType*>(b_k_n_device_buf.GetDeviceBuffer()),
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static_cast<KernelCDataType*>(c_m_n_device_buf.GetDeviceBuffer()),
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#else
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static_cast<ADataType*>(a_m_k_device_buf.GetDeviceBuffer()),
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static_cast<BDataType*>(b_k_n_device_buf.GetDeviceBuffer()),
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static_cast<CDataType*>(c_m_n_device_buf.GetDeviceBuffer()),
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#endif
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M,
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N,
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K,
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StrideA,
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StrideB,
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StrideC,
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KBatch,
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a_element_op,
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b_element_op,
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c_element_op);
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if(!gemm.IsSupportedArgument(argument))
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{
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std::cerr << gemm.GetTypeString() << " does not support this problem" << std::endl;
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return true;
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}
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bool pass = true;
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if(config.do_verification)
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{
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auto ref_gemm = ReferenceGemmInstance{};
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auto ref_invoker = ref_gemm.MakeInvoker();
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auto ref_argument = ref_gemm.MakeArgument(
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a_m_k, b_k_n, c_m_n_host_result, PassThrough{}, PassThrough{}, PassThrough{});
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ref_invoker.Run(ref_argument);
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ave_time = invoker.Run(argument, StreamConfig{nullptr, false, 1});
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#ifdef BUILD_INT4_EXAMPLE
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Tensor<CDataType> c_m_n_device_result_converted(c_m_n_host_result.mDesc);
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c_m_n_device_buf.FromDevice(c_m_n_device_result_converted.mData.data());
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c_m_n_device_result = c_m_n_device_result_converted.CopyAsType<CDataType>();
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return ck::utils::check_err(c_m_n_device_result_converted, c_m_n_host_result);
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#else
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c_m_n_device_buf.FromDevice(c_m_n_device_result.mData.data());
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pass &= ck::utils::check_err(c_m_n_device_result,
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c_m_n_host_result,
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"Error: Incorrect results!",
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get_rtol<CDataType>(),
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get_atol<CDataType>());
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#endif
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}
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if(config.time_kernel)
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{
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ave_time = invoker.Run(argument, StreamConfig{nullptr, config.time_kernel});
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std::size_t flop = 2_uz * M * N * K;
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std::size_t num_btype =
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sizeof(ADataType) * M * K + sizeof(BDataType) * K * N + sizeof(CDataType) * M * N;
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float tflops = static_cast<float>(flop) / 1.E9 / ave_time;
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float gb_per_sec = num_btype / 1.E6 / ave_time;
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std::cout << "Perf: " << ave_time << " ms, " << tflops << " TFlops, " << gb_per_sec
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<< " GB/s, " << gemm.GetTypeString() << std::endl;
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}
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return pass;
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}
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bool run_gemm_splitk_example(int argc, char* argv[])
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{
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ProblemSizeSplitK problem_size;
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ExecutionConfig config;
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return !parse_cmd_args(argc, argv, problem_size, config) || run_gemm(problem_size, config);
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}
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