gemv splitk instances added to factory; fixing merge issues

profiler/src/profile_image_to_column.cpp

-// SPDX-License-Identifier: MIT
-// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
-
-#include <iostream>
-#include <numeric>
-#include <initializer_list>
-#include <cstdlib>
-
-#include "profiler/profile_image_to_column_impl.hpp"
-#include "profiler_operation_registry.hpp"
-
-namespace {
-
-enum struct ConvLayout
-{
-    NHWC, // 0
-};
-
-enum struct DataType
-{
-    F32_F32,   // 0
-    F16_F16,   // 1
-    BF16_BF16, // 2
-    INT8_INT8, // 3
-};
-
-#define OP_NAME "image_to_column"
-#define OP_DESC "Image To Column"
-
-static void print_helper_msg()
-{
-    std::cout
-        // clang-format off
-        << "arg1: tensor operation (" OP_NAME ": " OP_DESC ")\n"
-        << "arg2: data type (0: Input fp32, Weight fp32, Output fp32\n"
-        << "                 1: Input fp16, Weight fp16, Output fp16\n"
-        << "                 2: Input bf16, Weight bf16, Output bf16\n"
-        << "                 3: Input int8, Weight int8, Output int8)\n"
-        << "arg3: tensor layout (0: Input[N, Hi, Wi, C], Output[N * Ho * Wo, Y * X * C])\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: no, 1: yes)\n"
-        << ck::utils::conv::get_conv_param_parser_helper_msg() << std::endl;
-    // clang-format on
-}
-
-} // namespace
-
-int profile_image_to_column(int argc, char* argv[])
-{
-    // 8 for control, 1 for num_dim_spatial
-    if(argc < 9)
-    {
-        print_helper_msg();
-        return 1;
-    }
-
-    const auto data_type       = static_cast<DataType>(std::stoi(argv[2]));
-    const auto layout          = static_cast<ConvLayout>(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 int num_dim_spatial  = std::stoi(argv[8]);
-
-    // 8 for control, 1 for num_dim_spatial, 4 for G/N/K/C, and 6 * num_dim_spatial
-    if(argc != 8 + 1 + 4 + 6 * num_dim_spatial)
-    {
-        print_helper_msg();
-        return 1;
-    }
-
-    const auto params = ck::utils::conv::parse_conv_param(num_dim_spatial, 9, argv);
-
-    using F32  = float;
-    using F16  = ck::half_t;
-    using BF16 = ck::bhalf_t;
-    using INT8 = int8_t;
-
-    using namespace ck::tensor_layout::convolution;
-
-    constexpr auto I1 = ck::Number<1>{};
-    constexpr auto I2 = ck::Number<2>{};
-    constexpr auto I3 = ck::Number<3>{};
-
-    auto profile = [&](auto num_dim_spatial_tmp, auto in_layout, auto in_type, auto out_type) {
-        constexpr ck::index_t NDimSpatial = num_dim_spatial_tmp.value;
-
-        using InLayout = decltype(in_layout);
-
-        using InDataType  = decltype(in_type);
-        using OutDataType = decltype(out_type);
-
-        bool pass = ck::profiler::
-            profile_image_to_column_impl<NDimSpatial, InLayout, InDataType, OutDataType>(
-                do_verification, init_method, do_log, time_kernel, params);
-
-        return pass ? 0 : 1;
-    };
-
-    // NHWC
-    if(layout == ConvLayout::NHWC)
-    {
-        if(num_dim_spatial == 1)
-        {
-            if(data_type == DataType::F32_F32)
-            {
-                return profile(I1, GNWC{}, F32{}, F32{});
-            }
-            else if(data_type == DataType::F16_F16)
-            {
-                return profile(I1, GNWC{}, F16{}, F16{});
-            }
-            else if(data_type == DataType::BF16_BF16)
-            {
-                return profile(I1, GNWC{}, BF16{}, BF16{});
-            }
-            else if(data_type == DataType::INT8_INT8)
-            {
-                return profile(I1, GNWC{}, INT8{}, INT8{});
-            }
-        }
-        else if(num_dim_spatial == 2)
-        {
-            if(data_type == DataType::F32_F32)
-            {
-                return profile(I2, GNHWC{}, F32{}, F32{});
-            }
-            else if(data_type == DataType::F16_F16)
-            {
-                return profile(I2, GNHWC{}, F16{}, F16{});
-            }
-            else if(data_type == DataType::BF16_BF16)
-            {
-                return profile(I2, GNHWC{}, BF16{}, BF16{});
-            }
-            else if(data_type == DataType::INT8_INT8)
-            {
-                return profile(I2, GNHWC{}, INT8{}, INT8{});
-            }
-        }
-        else if(num_dim_spatial == 3)
-        {
-            if(data_type == DataType::F32_F32)
-            {
-                return profile(I3, GNDHWC{}, F32{}, F32{});
-            }
-            else if(data_type == DataType::F16_F16)
-            {
-                return profile(I3, GNDHWC{}, F16{}, F16{});
-            }
-            else if(data_type == DataType::BF16_BF16)
-            {
-                return profile(I3, GNDHWC{}, BF16{}, BF16{});
-            }
-            else if(data_type == DataType::INT8_INT8)
-            {
-                return profile(I3, GNDHWC{}, INT8{}, INT8{});
-            }
-        }
-    }
-
-    std::cout << "this data_type & layout is not implemented" << std::endl;
-
-    return 1;
-}
-
-REGISTER_PROFILER_OPERATION(OP_NAME, OP_DESC, profile_image_to_column);