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| #include <iostream> |
| #include <numeric> |
| #include <initializer_list> |
| #include <cstdlib> |
|
|
| #include "profiler/profile_grouped_gemm_impl.hpp" |
| #include "profiler_operation_registry.hpp" |
|
|
| enum struct GemmMatrixLayout |
| { |
| MK_KN_MN, |
| MK_NK_MN, |
| KM_KN_MN, |
| KM_NK_MN, |
| MK_KN_NM, |
| MK_NK_NM, |
| KM_KN_NM, |
| KM_NK_NM, |
| }; |
|
|
| enum struct GemmDataType |
| { |
| F32_F32_F32, |
| F16_F16_F16, |
| BF16_BF16_BF16, |
| INT8_INT8_INT8, |
| F8_F16_F16, |
| F16_F8_F16, |
| }; |
|
|
| #define OP_NAME "grouped_gemm" |
| #define OP_DESC "Grouped GEMM" |
|
|
| namespace { |
|
|
| std::vector<int> argToIntArray(char* input) |
| { |
| std::vector<int> out; |
| std::istringstream in(input); |
| std::string item; |
|
|
| while(std::getline(in, item, ',')) |
| { |
| out.push_back(std::stoi(item)); |
| } |
| return out; |
| } |
|
|
| int profile_grouped_gemm(int argc, char* argv[]) |
| { |
| if(argc < 14) |
| { |
| std::cout |
| << "arg1: tensor operation (" OP_NAME ": " OP_DESC ")\n" |
| << "arg2: data type (0: fp32; 1: fp16; 2: bf16; 3: int8; 4: fp8@fp6; 5: f16@f8)\n" |
| << "arg3: matrix layout (0: A[m, k] * B[k, n] = C[m, n];\n" |
| << " 1: A[m, k] * B[n, k] = C[m, n];\n" |
| << " 2: A[k, m] * B[k, n] = C[m, n];\n" |
| << " 3: A[k, m] * B[n, k] = C[m, n])\n" |
| << "arg4: verification (0: no; 1: yes)\n" |
| << "arg5: initialization (0: no init; 1: integer value; 2: decimal value)\n" |
| << "arg6: print tensor value (0: no; 1: yes)\n" |
| << "arg7: time kernel (0=n0, 1=yes)\n" |
| << "arg8 to 13: Ms, Ns, Ks, StrideAs, StrideBs, StrideCs (e.g., 256,256 128,128 64,64 " |
| "64,64 64,64 128,128)\n" |
| << "arg15: kbatch values (default 1)\n" |
| << "optional:\n" |
| << "arg16: number of warm-up cycles (default 1)\n" |
| << "arg17: number of iterations (default 10)\n" |
| << std::endl; |
|
|
| exit(1); |
| } |
|
|
| const auto data_type = static_cast<GemmDataType>(std::stoi(argv[2])); |
| const auto layout = static_cast<GemmMatrixLayout>(std::stoi(argv[3])); |
| const bool do_verification = std::stoi(argv[4]); |
| const int init_method = std::stoi(argv[5]); |
| const bool do_log = std::stoi(argv[6]); |
| const bool time_kernel = std::stoi(argv[7]); |
|
|
| const auto Ms = argToIntArray(argv[8]); |
| const auto Ns = argToIntArray(argv[9]); |
| const auto Ks = argToIntArray(argv[10]); |
|
|
| const auto StrideAs = argToIntArray(argv[11]); |
| const auto StrideBs = argToIntArray(argv[12]); |
| const auto StrideCs = argToIntArray(argv[13]); |
| const auto kbatches = argc >= 15 ? argToIntArray(argv[14]) : std::vector<int>{}; |
|
|
| int n_warmup = 1; |
| int n_iter = 10; |
| if(argc == 17) |
| { |
| n_warmup = std::stoi(argv[15]); |
| n_iter = std::stoi(argv[16]); |
| } |
|
|
| if(data_type == GemmDataType::F16_F16_F16 && layout == GemmMatrixLayout::MK_KN_MN) |
| { |
| ck::profiler::profile_grouped_gemm_impl<ck::half_t, |
| ck::half_t, |
| ck::half_t, |
| float, |
| ck::tensor_layout::gemm::RowMajor, |
| ck::tensor_layout::gemm::RowMajor, |
| ck::tensor_layout::gemm::RowMajor>(do_verification, |
| init_method, |
| do_log, |
| time_kernel, |
| Ms, |
| Ns, |
| Ks, |
| StrideAs, |
| StrideBs, |
| StrideCs, |
| kbatches, |
| n_warmup, |
| n_iter); |
| } |
| else if(data_type == GemmDataType::F16_F16_F16 && layout == GemmMatrixLayout::MK_NK_MN) |
| { |
| ck::profiler::profile_grouped_gemm_impl<ck::half_t, |
| ck::half_t, |
| ck::half_t, |
| float, |
| ck::tensor_layout::gemm::RowMajor, |
| ck::tensor_layout::gemm::ColumnMajor, |
| ck::tensor_layout::gemm::RowMajor>(do_verification, |
| init_method, |
| do_log, |
| time_kernel, |
| Ms, |
| Ns, |
| Ks, |
| StrideAs, |
| StrideBs, |
| StrideCs, |
| kbatches, |
| n_warmup, |
| n_iter); |
| } |
| else if(data_type == GemmDataType::F16_F16_F16 && layout == GemmMatrixLayout::KM_KN_MN) |
| { |
| ck::profiler::profile_grouped_gemm_impl<ck::half_t, |
| ck::half_t, |
| ck::half_t, |
| float, |
| ck::tensor_layout::gemm::ColumnMajor, |
| ck::tensor_layout::gemm::RowMajor, |
| ck::tensor_layout::gemm::RowMajor>(do_verification, |
| init_method, |
| do_log, |
| time_kernel, |
| Ms, |
| Ns, |
| Ks, |
| StrideAs, |
| StrideBs, |
| StrideCs, |
| kbatches, |
| n_warmup, |
| n_iter); |
| } |
| else if(data_type == GemmDataType::F16_F16_F16 && layout == GemmMatrixLayout::KM_NK_MN) |
| { |
| ck::profiler::profile_grouped_gemm_impl<ck::half_t, |
| ck::half_t, |
| ck::half_t, |
| float, |
| ck::tensor_layout::gemm::ColumnMajor, |
| ck::tensor_layout::gemm::ColumnMajor, |
| ck::tensor_layout::gemm::RowMajor>(do_verification, |
| init_method, |
| do_log, |
| time_kernel, |
| Ms, |
| Ns, |
| Ks, |
| StrideAs, |
| StrideBs, |
| StrideCs, |
| kbatches, |
| n_warmup, |
| n_iter); |
| } |
| else if(data_type == GemmDataType::F8_F16_F16 && layout == GemmMatrixLayout::MK_KN_MN) |
| { |
| ck::profiler::profile_grouped_gemm_impl<ck::f8_t, |
| ck::half_t, |
| ck::half_t, |
| float, |
| ck::tensor_layout::gemm::RowMajor, |
| ck::tensor_layout::gemm::RowMajor, |
| ck::tensor_layout::gemm::RowMajor>(do_verification, |
| init_method, |
| do_log, |
| time_kernel, |
| Ms, |
| Ns, |
| Ks, |
| StrideAs, |
| StrideBs, |
| StrideCs, |
| kbatches, |
| n_warmup, |
| n_iter); |
| } |
| else if(data_type == GemmDataType::F16_F8_F16 && layout == GemmMatrixLayout::MK_KN_MN) |
| { |
| ck::profiler::profile_grouped_gemm_impl<ck::half_t, |
| ck::f8_t, |
| ck::half_t, |
| float, |
| ck::tensor_layout::gemm::RowMajor, |
| ck::tensor_layout::gemm::RowMajor, |
| ck::tensor_layout::gemm::RowMajor>(do_verification, |
| init_method, |
| do_log, |
| time_kernel, |
| Ms, |
| Ns, |
| Ks, |
| StrideAs, |
| StrideBs, |
| StrideCs, |
| kbatches, |
| n_warmup, |
| n_iter); |
| } |
| else if(data_type == GemmDataType::BF16_BF16_BF16 && layout == GemmMatrixLayout::MK_KN_MN) |
| { |
| ck::profiler::profile_grouped_gemm_impl<ck::bhalf_t, |
| ck::bhalf_t, |
| ck::bhalf_t, |
| float, |
| ck::tensor_layout::gemm::RowMajor, |
| ck::tensor_layout::gemm::RowMajor, |
| ck::tensor_layout::gemm::RowMajor>(do_verification, |
| init_method, |
| do_log, |
| time_kernel, |
| Ms, |
| Ns, |
| Ks, |
| StrideAs, |
| StrideBs, |
| StrideCs, |
| kbatches, |
| n_warmup, |
| n_iter); |
| } |
| else if(data_type == GemmDataType::BF16_BF16_BF16 && layout == GemmMatrixLayout::MK_NK_MN) |
| { |
| ck::profiler::profile_grouped_gemm_impl<ck::bhalf_t, |
| ck::bhalf_t, |
| ck::bhalf_t, |
| float, |
| ck::tensor_layout::gemm::RowMajor, |
| ck::tensor_layout::gemm::ColumnMajor, |
| ck::tensor_layout::gemm::RowMajor>(do_verification, |
| init_method, |
| do_log, |
| time_kernel, |
| Ms, |
| Ns, |
| Ks, |
| StrideAs, |
| StrideBs, |
| StrideCs, |
| kbatches, |
| n_warmup, |
| n_iter); |
| } |
| else if(data_type == GemmDataType::BF16_BF16_BF16 && layout == GemmMatrixLayout::KM_KN_MN) |
| { |
| ck::profiler::profile_grouped_gemm_impl<ck::bhalf_t, |
| ck::bhalf_t, |
| ck::bhalf_t, |
| float, |
| ck::tensor_layout::gemm::ColumnMajor, |
| ck::tensor_layout::gemm::RowMajor, |
| ck::tensor_layout::gemm::RowMajor>(do_verification, |
| init_method, |
| do_log, |
| time_kernel, |
| Ms, |
| Ns, |
| Ks, |
| StrideAs, |
| StrideBs, |
| StrideCs, |
| kbatches, |
| n_warmup, |
| n_iter); |
| } |
| else |
| { |
| throw std::runtime_error("wrong! this GEMM data_type & layout is not implemented"); |
| } |
| return 0; |
| } |
|
|
| } |
|
|
| REGISTER_PROFILER_OPERATION(OP_NAME, OP_DESC, profile_grouped_gemm); |
|
|