Added wmma support for gemm quantization: (#2841)

- profiler for gemm quantization for DL/XDL
- tests for gemm quantization for DL/XDL
- implementation for gemm quantization for WMMA
- profiler/tests for gemm qunatization for WMMA

Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>

profiler/src/profile_gemm_quantization.cpp

@@ -0,0 +1,115 @@
+// SPDX-License-Identifier: MIT
+// Copyright (c) 2025, Advanced Micro Devices, Inc. All rights reserved.
+
+#include <iostream>
+#include <numeric>
+#include <initializer_list>
+#include <cstdlib>
+#include <cstdio>
+
+#include "profiler/profile_gemm_quantization_impl.hpp"
+#include "profiler_operation_registry.hpp"
+
+#define OP_NAME "gemm_quantization"
+#define OP_DESC "GEMM Quantization"
+
+using INT8  = int8_t;
+using INT32 = int32_t;
+
+int profile_gemm_quantization(int argc, char* argv[])
+{
+    enum struct MatrixLayout
+    {
+        MK_KN_MN, // 0:
+        MK_NK_MN, // 1:
+        KM_KN_MN, // 2:
+        KM_NK_MN, // 3:
+    };
+
+    if(argc != 14)
+    {
+        // clang-format off
+        printf("arg1: tensor operation (" OP_NAME ": " OP_DESC ")\n");
+        printf("arg2: matrix layout (0: E[m, n] = A[m, k] * B[k, n];\n");
+        printf("                     1: E[m, n] = A[m, k] * B[n, k];\n");
+        printf("                     2: E[m, n] = A[k, m] * B[k, n];\n");
+        printf("                     3: E[m, n] = A[k, m] * B[n, k])\n");
+        printf("arg3: verification (0: no; 1: yes)\n");
+        printf("arg4: initialization (0: no init; default: integer value)\n");
+        printf("arg5: print tensor value (0: no; 1: yes)\n");
+        printf("arg6: time kernel (0=no, 1=yes)\n");
+        printf("arg7 to 12: M, N, K, StrideA, StrideB, StrideE\n");
+        printf("arg13: requant_scale (float, e.g., 0.03)\n");
+        // clang-format on
+        exit(1);
+    }
+
+    const auto layout          = static_cast<MatrixLayout>(std::stoi(argv[2]));
+    const bool do_verification = std::stoi(argv[3]);
+    const int init_method      = std::stoi(argv[4]);
+    const bool do_log          = std::stoi(argv[5]);
+    const bool time_kernel     = std::stoi(argv[6]);
+
+    const int M = std::stoi(argv[7]);
+    const int N = std::stoi(argv[8]);
+    const int K = std::stoi(argv[9]);
+
+    const int StrideA = std::stoi(argv[10]);
+    const int StrideB = std::stoi(argv[11]);
+    const int StrideE = std::stoi(argv[12]);
+
+    const float requant_scale = std::stof(argv[13]);
+
+    using Row = ck::tensor_layout::gemm::RowMajor;
+    using Col = ck::tensor_layout::gemm::ColumnMajor;
+
+    auto profile = [&](auto a_layout, auto b_layout, auto e_layout) {
+        using ALayout = decltype(a_layout);
+        using BLayout = decltype(b_layout);
+        using ELayout = decltype(e_layout);
+
+        bool pass = ck::profiler::profile_gemm_quantization_impl<int8_t,
+                                                                 int8_t,
+                                                                 int32_t,
+                                                                 int8_t,
+                                                                 ALayout,
+                                                                 BLayout,
+                                                                 ELayout>(do_verification,
+                                                                          init_method,
+                                                                          do_log,
+                                                                          time_kernel,
+                                                                          M,
+                                                                          N,
+                                                                          K,
+                                                                          StrideA,
+                                                                          StrideB,
+                                                                          StrideE,
+                                                                          requant_scale);
+
+        return pass ? 0 : 1;
+    };
+
+    if(layout == MatrixLayout::MK_KN_MN)
+    {
+        return profile(Row{}, Row{}, Row{});
+    }
+    else if(layout == MatrixLayout::MK_NK_MN)
+    {
+        return profile(Row{}, Col{}, Row{});
+    }
+    else if(layout == MatrixLayout::KM_KN_MN)
+    {
+        return profile(Col{}, Row{}, Row{});
+    }
+    else if(layout == MatrixLayout::KM_NK_MN)
+    {
+        return profile(Col{}, Col{}, Row{});
+    }
+    else
+    {
+        std::cout << "this layout is not implemented" << std::endl;
+        return 1;
+    }
+}
+
+REGISTER_PROFILER_OPERATION(OP_NAME, OP_DESC, profile_gemm_quantization);