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/*
* Copyright (c) 2023 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
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "src/runtime/heuristics/matmul_native/ClMatMulNativeDefaultVariantValhall.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/core/GPUTarget.h"
#include "arm_compute/core/TensorInfo.h"
namespace arm_compute
{
namespace cl_matmul
{
ClMatMulNativeDefaultVariantValhall::ClMatMulNativeDefaultVariantValhall(GPUTarget gpu)
: IClMatMulNativeKernelVariant(gpu)
{
}
MatMulKernelType ClMatMulNativeDefaultVariantValhall::select_kernel(const ITensorInfo *lhs,
const ITensorInfo *rhs,
const MatMulInfo &info,
const ActivationLayerInfo &act_info)
{
ARM_COMPUTE_UNUSED(rhs);
using VariantFunctionExecutorPtr =
MatMulKernelType (ClMatMulNativeDefaultVariantValhall::*)(int k, bool act_enabled);
ClMatMulNativeVariantArray<VariantFunctionExecutorPtr> configs_G715(
&ClMatMulNativeDefaultVariantValhall::configure_G715_float,
&ClMatMulNativeDefaultVariantValhall::configure_G715_quantized);
ClMatMulNativeVariantArray<VariantFunctionExecutorPtr> configs_default(
&ClMatMulNativeDefaultVariantValhall::configure_default_float,
&ClMatMulNativeDefaultVariantValhall::configure_default_quantized);
VariantFunctionExecutorPtr func = nullptr;
switch (_target)
{
case GPUTarget::G715:
case GPUTarget::G615:
func = configs_G715.get_function(lhs->data_type());
break;
default:
func = configs_default.get_function(lhs->data_type());
break;
}
const int k = info.adj_lhs() ? lhs->tensor_shape().y() : lhs->tensor_shape().x();
const bool act_enabled = act_info.enabled();
ARM_COMPUTE_ERROR_ON_MSG(func == nullptr, "Data type not supported for matmul native");
return (this->*func)(k, act_enabled);
}
MatMulKernelType ClMatMulNativeDefaultVariantValhall::configure_G715_float(int k, bool act_enabled)
{
// MMUL kernel works only when K is a multiple of 4
if (!act_enabled && k % 4 == 0)
{
return MatMulKernelType::NATIVE_MMUL_FP;
}
return MatMulKernelType::NATIVE_FP;
}
MatMulKernelType ClMatMulNativeDefaultVariantValhall::configure_G715_quantized(int k, bool act_enabled)
{
// MMUL kernel works only when K is a multiple of 16
if (!act_enabled && k % 16 == 0)
{
return MatMulKernelType::NATIVE_MMUL_QUANTIZED;
}
return MatMulKernelType::NATIVE_QUANTIZED;
}
MatMulKernelType ClMatMulNativeDefaultVariantValhall::configure_default_float(int k, bool act_enabled)
{
ARM_COMPUTE_UNUSED(k, act_enabled);
return MatMulKernelType::NATIVE_FP;
}
MatMulKernelType ClMatMulNativeDefaultVariantValhall::configure_default_quantized(int k, bool act_enabled)
{
ARM_COMPUTE_UNUSED(k, act_enabled);
return MatMulKernelType::NATIVE_QUANTIZED;
}
} // namespace cl_matmul
} // namespace arm_compute
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