src/runtime/CL/gemm/CLGEMMKernelSelectionMidgard.cpp

/*
 * Copyright (c) 2020 Arm Limited.
 *
 * SPDX-License-Identifier: MIT
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to
 * deal in the Software without restriction, including without limitation the
 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
 * sell copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in all
 * copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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 */
#include "arm_compute/runtime/CL/gemm/CLGEMMKernelSelectionMidgard.h"

#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/CL/CLKernelLibrary.h"
#include "arm_compute/core/CL/gemm/CLGEMMHelpers.h"
#include "arm_compute/core/GPUTarget.h"

#include <map>
#include <utility>

namespace arm_compute
{
namespace cl_gemm
{
CLGEMMKernelSelectionMidgard::CLGEMMKernelSelectionMidgard(GPUTarget gpu)
    : ICLGEMMKernelSelection(gpu)
{
}

CLGEMMKernelType CLGEMMKernelSelectionMidgard::select_kernel(const CLGEMMKernelSelectionParams &params)
{
    // _target could be used in the future to have a dedicated heuristic for each GPU IP
    ARM_COMPUTE_UNUSED(_target);

    using FunctionExecutorPtr = CLGEMMKernelType (CLGEMMKernelSelectionMidgard::*)(unsigned int m, unsigned int n, unsigned int k, bool is_rhs_constant);

    // Configurations for Midgard architectures
    static std::map<DataType, FunctionExecutorPtr> gemm_configs =
    {
        { DataType::F32, &CLGEMMKernelSelectionMidgard::default_f32 },
        { DataType::F16, &CLGEMMKernelSelectionMidgard::default_f16 },
        { DataType::QASYMM8, &CLGEMMKernelSelectionMidgard::default_q8 },
        { DataType::QASYMM8_SIGNED, &CLGEMMKernelSelectionMidgard::default_q8 },
        { DataType::QSYMM8, &CLGEMMKernelSelectionMidgard::default_q8 },
        { DataType::QSYMM8_PER_CHANNEL, &CLGEMMKernelSelectionMidgard::default_q8 }
    };

    const DataType data_type = params.data_type;

    if(gemm_configs.find(data_type) != gemm_configs.end())
    {
        return (this->*gemm_configs[data_type])(params.m, params.n, params.k, params.is_rhs_constant);
    }

    ARM_COMPUTE_ERROR("Not supported data type");
}

CLGEMMKernelType CLGEMMKernelSelectionMidgard::default_f32(unsigned int m, unsigned int n, unsigned int k, bool is_rhs_constant)
{
    ARM_COMPUTE_UNUSED(n, k);

    // We reshape the matrices only if we do not have the vector-by-matrix case and we reshape the matrix B only once
    return ((m != 1) && is_rhs_constant) ? CLGEMMKernelType::RESHAPED_V1 : CLGEMMKernelType::NATIVE_V1;
}

CLGEMMKernelType CLGEMMKernelSelectionMidgard::default_f16(unsigned int m, unsigned int n, unsigned int k, bool is_rhs_constant)
{
    ARM_COMPUTE_UNUSED(n, k);

    // We reshape the matrices only if we do not have the vector-by-matrix case and we reshape the matrix B only once
    return ((m != 1) && is_rhs_constant) ? CLGEMMKernelType::RESHAPED_V1 : CLGEMMKernelType::NATIVE_V1;
}

CLGEMMKernelType CLGEMMKernelSelectionMidgard::default_q8(unsigned int m, unsigned int n, unsigned int k, bool is_rhs_constant)
{
    ARM_COMPUTE_UNUSED(m, n, k, is_rhs_constant);

    return CLGEMMKernelType::NATIVE;
}
} // namespace cl_gemm
} // namespace arm_compute