| /* |
| * 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 |