Reuse same implementation code for most of GEMM examples

example/01_gemm/gemm_dl_int4.cpp

@@ -39,6 +39,7 @@ using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemmDl
 using ReferenceGemmInstance = ck::tensor_operation::host::
     ReferenceGemm<ADataType, BDataType, CDataType, AccDataType, AElementOp, BElementOp, CElementOp>;
 
-#include "run_gemm_int4_example.inc"
+#define BUILD_INT4_EXAMPLE
+#include "run_gemm_example.inc"
 
-int main(int argc, char* argv[]) { return !run_gemm_int4_example(argc, argv); }
+int main(int argc, char* argv[]) { return !run_gemm_example(argc, argv); }

example/01_gemm/gemm_xdl_int4.cpp

@@ -40,6 +40,7 @@ using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemm_Xdl_CShuffle
 using ReferenceGemmInstance = ck::tensor_operation::host::
     ReferenceGemm<ADataType, BDataType, CDataType, AccDataType, AElementOp, BElementOp, CElementOp>;
 
-#include "run_gemm_int4_example.inc"
+#define BUILD_INT4_EXAMPLE
+#include "run_gemm_example.inc"
 
-int main(int argc, char* argv[]) { return !run_gemm_int4_example(argc, argv); }
+int main(int argc, char* argv[]) { return !run_gemm_example(argc, argv); }

example/01_gemm/run_gemm_example.inc

@@ -5,6 +5,10 @@
 
 bool run_gemm(const ProblemSize& problem_size, const ExecutionConfig& config)
 {
+#ifdef CK_EXPERIMENTAL_BIT_INT_EXTENSION_INT4
+    static_assert(sizeof(ck::int4_t) == sizeof(int8_t));
+#endif
+
     using namespace ck::literals;
 
     auto& [M, N, K, StrideA, StrideB, StrideC] = problem_size;
@@ -59,18 +63,25 @@ bool run_gemm(const ProblemSize& problem_size, const ExecutionConfig& config)
     // do GEMM
     auto gemm     = DeviceGemmInstance{};
     auto invoker  = gemm.MakeInvoker();
-    auto argument = gemm.MakeArgument(static_cast<ADataType*>(a_m_k_device_buf.GetDeviceBuffer()),
-                                      static_cast<BDataType*>(b_k_n_device_buf.GetDeviceBuffer()),
-                                      static_cast<CDataType*>(c_m_n_device_buf.GetDeviceBuffer()),
-                                      M,
-                                      N,
-                                      K,
-                                      StrideA,
-                                      StrideB,
-                                      StrideC,
-                                      a_element_op,
-                                      b_element_op,
-                                      c_element_op);
+    auto argument = gemm.MakeArgument(
+#ifdef BUILD_INT4_EXAMPLE
+        static_cast<KernelADataType*>(a_m_k_device_buf.GetDeviceBuffer()),
+        static_cast<KernelBDataType*>(b_k_n_device_buf.GetDeviceBuffer()),
+        static_cast<KernelCDataType*>(c_m_n_device_buf.GetDeviceBuffer()),
+#else
+        static_cast<ADataType*>(a_m_k_device_buf.GetDeviceBuffer()),
+        static_cast<BDataType*>(b_k_n_device_buf.GetDeviceBuffer()),
+        static_cast<CDataType*>(c_m_n_device_buf.GetDeviceBuffer()),
+#endif
+        M,
+        N,
+        K,
+        StrideA,
+        StrideB,
+        StrideC,
+        a_element_op,
+        b_element_op,
+        c_element_op);
 
     if(!gemm.IsSupportedArgument(argument))
     {

example/01_gemm/run_gemm_int4_example.inc

@@ -1,121 +0,0 @@
-// SPDX-License-Identifier: MIT
-// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.
-
-#pragma once
-
-bool run_gemm_int4(const ProblemSize& problem_size, const ExecutionConfig& config)
-{
-    using namespace ck::literals;
-
-    auto& [M, N, K, StrideA, StrideB, StrideC] = problem_size;
-
-    auto f_host_tensor_descriptor =
-        [](std::size_t row, std::size_t col, std::size_t stride, auto layout) {
-            if constexpr(std::is_same_v<decltype(layout), ck::tensor_layout::gemm::RowMajor>)
-            {
-                return HostTensorDescriptor({row, col}, {stride, 1_uz});
-            }
-            else
-            {
-                return HostTensorDescriptor({row, col}, {1_uz, stride});
-            }
-        };
-
-    Tensor<ADataType> a_m_k(f_host_tensor_descriptor(M, K, StrideA, ALayout{}));
-    Tensor<BDataType> b_k_n(f_host_tensor_descriptor(K, N, StrideB, BLayout{}));
-
-    switch(config.init_method)
-    {
-    case 0: break;
-    case 1:
-        ck::utils::FillUniformDistributionIntegerValue<ADataType>{-5.f, 5.f}(a_m_k.begin(),
-                                                                             a_m_k.end());
-        ck::utils::FillUniformDistributionIntegerValue<BDataType>{-5.f, 5.f}(b_k_n.begin(),
-                                                                             b_k_n.end());
-        break;
-    default:
-        ck::utils::FillUniformDistribution<ADataType>{-1.f, 1.f}(a_m_k.begin(), a_m_k.end());
-        ck::utils::FillUniformDistribution<BDataType>{-1.f, 1.f}(b_k_n.begin(), b_k_n.end());
-    }
-
-    Tensor<CDataType> c_m_n_host_result(f_host_tensor_descriptor(M, N, StrideC, CLayout{}));
-    Tensor<CDataType> c_m_n_device_result(f_host_tensor_descriptor(M, N, StrideC, CLayout{}));
-
-    std::cout << "a_m_k: " << a_m_k.mDesc << std::endl;
-    std::cout << "b_k_n: " << b_k_n.mDesc << std::endl;
-    std::cout << "c_m_n: " << c_m_n_host_result.mDesc << std::endl;
-
-    DeviceMem a_m_k_device_buf(sizeof(KernelADataType) * a_m_k.mDesc.GetElementSpaceSize());
-    DeviceMem b_k_n_device_buf(sizeof(KernelBDataType) * b_k_n.mDesc.GetElementSpaceSize());
-    DeviceMem c_m_n_device_buf(sizeof(KernelCDataType) *
-                               c_m_n_device_result.mDesc.GetElementSpaceSize());
-
-    a_m_k_device_buf.ToDevice(a_m_k.mData.data());
-    b_k_n_device_buf.ToDevice(b_k_n.mData.data());
-
-    auto a_element_op = AElementOp{};
-    auto b_element_op = BElementOp{};
-    auto c_element_op = CElementOp{};
-
-    // do GEMM
-    auto gemm    = DeviceGemmInstance{};
-    auto invoker = gemm.MakeInvoker();
-    auto argument =
-        gemm.MakeArgument(static_cast<KernelADataType*>(a_m_k_device_buf.GetDeviceBuffer()),
-                          static_cast<KernelBDataType*>(b_k_n_device_buf.GetDeviceBuffer()),
-                          static_cast<KernelCDataType*>(c_m_n_device_buf.GetDeviceBuffer()),
-                          M,
-                          N,
-                          K,
-                          StrideA,
-                          StrideB,
-                          StrideC,
-                          a_element_op,
-                          b_element_op,
-                          c_element_op);
-
-    if(!gemm.IsSupportedArgument(argument))
-    {
-        std::cerr << gemm.GetTypeString() << " does not support this problem" << std::endl;
-
-        return false;
-    }
-
-    float ave_time = invoker.Run(argument, StreamConfig{nullptr, config.time_kernel});
-
-    std::size_t flop      = 2_uz * M * N * K;
-    std::size_t num_btype = sizeof(KernelADataType) * M * K + sizeof(KernelBDataType) * K * N +
-                            sizeof(KernelCDataType) * M * N;
-
-    float tflops = static_cast<float>(flop) / 1.E9 / ave_time;
-
-    float gb_per_sec = num_btype / 1.E6 / ave_time;
-
-    std::cout << "Perf: " << ave_time << " ms, " << tflops << " TFlops, " << gb_per_sec << " GB/s, "
-              << gemm.GetTypeString() << std::endl;
-
-    c_m_n_device_buf.FromDevice(c_m_n_device_result.mData.data());
-
-    if(config.do_verification)
-    {
-        auto ref_gemm    = ReferenceGemmInstance{};
-        auto ref_invoker = ref_gemm.MakeInvoker();
-
-        auto ref_argument = ref_gemm.MakeArgument(
-            a_m_k, b_k_n, c_m_n_host_result, a_element_op, b_element_op, c_element_op);
-
-        ref_invoker.Run(ref_argument);
-
-        return !ck::utils::check_err(c_m_n_device_result.mData, c_m_n_host_result.mData);
-    }
-
-    return true;
-}
-
-bool run_gemm_int4_example(int argc, char* argv[])
-{
-    ProblemSize problem_size;
-    ExecutionConfig config;
-
-    return parse_cmd_args(argc, argv, problem_size, config) && run_gemm_int4(problem_size, config);
-}