src/gpu/cl/operators/ClMatMul.cpp

/*
 * Copyright (c) 2023 Arm Limited.
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 * SPDX-License-Identifier: MIT
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 * furnished to do so, subject to the following conditions:
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 * The above copyright notice and this permission notice shall be included in all
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 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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#include "src/gpu/cl/operators/ClMatMul.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/runtime/CL/CLScheduler.h"
#include "src/common/utils/Log.h"
#include "src/gpu/cl/kernels/ClMatMulNativeKernel.h"
#include "src/runtime/heuristics/matmul_native/ClMatMulNativeDefaultConfigValhall.h"
#include "src/runtime/heuristics/matmul_native/ClMatMulNativeKernelConfig.h"
#include "src/runtime/heuristics/matmul_native/IClMatMulNativeKernelConfig.h"

using namespace arm_compute::cl_matmul;

namespace arm_compute
{
namespace opencl
{
using namespace arm_compute::opencl::kernels;
ClMatMul::ClMatMul()
    : _native_matmul_kernel(std::make_unique<ClMatMulNativeKernel>())
{
}
ClMatMul::~ClMatMul()
{
}
Status ClMatMul::validate(const ITensorInfo *lhs, const ITensorInfo *rhs, const ITensorInfo *output, const MatMulInfo &matmul_info)
{
    const GPUTarget gpu_target = CLScheduler::get().target();

    std::unique_ptr<IClMatMulNativeKernelConfig> t = ClMatMulNativeKernelConfigurationFactory::create(gpu_target);

    MatMulKernelInfo kernel_info = t->configure(lhs, rhs, matmul_info);

    return ClMatMulNativeKernel::validate(lhs, rhs, output, kernel_info);
}
void ClMatMul::configure(const CLCompileContext &compile_context, ITensorInfo *lhs, ITensorInfo *rhs, ITensorInfo *output, const MatMulInfo &matmul_info)
{
    ARM_COMPUTE_ERROR_ON_NULLPTR(lhs, rhs, output);
    ARM_COMPUTE_LOG_PARAMS(lhs, rhs, output, matmul_info);

    // Perform validation step
    ARM_COMPUTE_ERROR_THROW_ON(validate(lhs, rhs, output, matmul_info));
    const GPUTarget gpu_target = CLScheduler::get().target();

    std::unique_ptr<IClMatMulNativeKernelConfig> t = ClMatMulNativeKernelConfigurationFactory::create(gpu_target);

    MatMulKernelInfo kernel_info = t->configure(lhs, rhs, matmul_info);

    // Set the target for the kernels
    _native_matmul_kernel->set_target(gpu_target);

    // Configure the native matrix multiply kernel
    _native_matmul_kernel->configure(compile_context, lhs, rhs, output, kernel_info);
}
void ClMatMul::run(ITensorPack &tensors)
{
    CLScheduler::get().enqueue_op(*_native_matmul_kernel, tensors, true);
}
} // namespace opencl
} // namespace arm_compute