diff options
Diffstat (limited to 'src/gpu/cl/operators/ClMatMul.cpp')
| -rw-r--r-- | src/gpu/cl/operators/ClMatMul.cpp | 157 |
1 files changed, 157 insertions, 0 deletions
diff --git a/src/gpu/cl/operators/ClMatMul.cpp b/src/gpu/cl/operators/ClMatMul.cpp new file mode 100644 index 0000000000..28a2aa2540 --- /dev/null +++ b/src/gpu/cl/operators/ClMatMul.cpp @@ -0,0 +1,157 @@ +/* + * 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/gpu/cl/operators/ClMatMul.h" + +#include "arm_compute/core/Error.h" +#include "arm_compute/core/Utils.h" +#include "arm_compute/runtime/CL/CLScheduler.h" + +#include "src/common/utils/Log.h" +#include "src/gpu/cl/kernels/ClMatMulLowpNativeKernel.h" +#include "src/gpu/cl/kernels/ClMatMulLowpNativeMMULKernel.h" +#include "src/gpu/cl/kernels/ClMatMulNativeKernel.h" +#include "src/gpu/cl/kernels/ClMatMulNativeMMULKernel.h" +#include "src/runtime/heuristics/matmul_native/ClMatMulNativeDefaultConfigValhall.h" +#include "src/runtime/heuristics/matmul_native/ClMatMulNativeKernelConfig.h" +#include "src/runtime/heuristics/matmul_native/ClMatMulNativeKernelVariant.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() +{ +} + +Status ClMatMul::validate(const ITensorInfo *lhs, + const ITensorInfo *rhs, + const ITensorInfo *dst, + const MatMulInfo &matmul_info, + const ActivationLayerInfo &act_info) +{ + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(lhs, rhs, dst); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(lhs, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, + DataType::F16, DataType::F32); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(rhs, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, + DataType::F16, DataType::F32); + + const GPUTarget gpu_target = CLScheduler::get().target(); + + std::unique_ptr<IClMatMulNativeKernelConfig> t = ClMatMulNativeKernelConfigurationFactory::create(gpu_target); + + const MatMulKernelInfo kernel_info = t->configure(lhs, rhs, matmul_info); + + const auto kernel_selector = ClMatMulNativeKernelVariantFactory::create(gpu_target); + const MatMulKernelType kernel_type = kernel_selector->select_kernel(lhs, rhs, matmul_info, act_info); + + switch (kernel_type) + { + case MatMulKernelType::NATIVE_FP: + return ClMatMulNativeKernel::validate(lhs, rhs, nullptr /* bias */, dst, kernel_info, act_info); + case MatMulKernelType::NATIVE_MMUL_FP: + return ClMatMulNativeMMULKernel::validate(lhs, rhs, nullptr /* bias */, dst, kernel_info); + case MatMulKernelType::NATIVE_QUANTIZED: + return ClMatMulLowpNativeKernel::validate(lhs, rhs, nullptr /* bias */, dst, kernel_info, act_info); + case MatMulKernelType::NATIVE_MMUL_QUANTIZED: + return ClMatMulLowpNativeMMULKernel::validate(lhs, rhs, nullptr /* bias */, dst, kernel_info, act_info); + default: + ARM_COMPUTE_ERROR("Unsupported MatMul Kernel!"); + } +} + +void ClMatMul::configure(const CLCompileContext &compile_context, + ITensorInfo *lhs, + ITensorInfo *rhs, + ITensorInfo *dst, + const MatMulInfo &matmul_info, + const ActivationLayerInfo &act_info) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(lhs, rhs, dst); + ARM_COMPUTE_LOG_PARAMS(lhs, rhs, dst, matmul_info); + + // Perform validation step + ARM_COMPUTE_ERROR_THROW_ON(validate(lhs, rhs, dst, matmul_info)); + + const GPUTarget gpu_target = CLScheduler::get().target(); + const auto kernel_config = ClMatMulNativeKernelConfigurationFactory::create(gpu_target); + const MatMulKernelInfo kernel_info = kernel_config->configure(lhs, rhs, matmul_info); + + const auto kernel_selector = ClMatMulNativeKernelVariantFactory::create(gpu_target); + const MatMulKernelType kernel_type = kernel_selector->select_kernel(lhs, rhs, matmul_info, act_info); + + switch (kernel_type) + { + case MatMulKernelType::NATIVE_FP: + { + auto kernel = std::make_unique<ClMatMulNativeKernel>(); + kernel->set_target(gpu_target); + + kernel->configure(compile_context, lhs, rhs, nullptr /* bias */, dst, kernel_info, act_info); + _matmul_kernel = std::move(kernel); + } + break; + case MatMulKernelType::NATIVE_MMUL_FP: + { + auto kernel = std::make_unique<ClMatMulNativeMMULKernel>(); + kernel->set_target(gpu_target); + + kernel->configure(compile_context, lhs, rhs, nullptr /* bias */, dst, kernel_info); + _matmul_kernel = std::move(kernel); + } + break; + case MatMulKernelType::NATIVE_QUANTIZED: + { + auto kernel = std::make_unique<ClMatMulLowpNativeKernel>(); + kernel->set_target(gpu_target); + + kernel->configure(compile_context, lhs, rhs, nullptr /* bias */, dst, kernel_info, act_info); + _matmul_kernel = std::move(kernel); + } + break; + case MatMulKernelType::NATIVE_MMUL_QUANTIZED: + { + auto kernel = std::make_unique<ClMatMulLowpNativeMMULKernel>(); + kernel->set_target(gpu_target); + + kernel->configure(compile_context, lhs, rhs, nullptr /* bias */, dst, kernel_info, act_info); + _matmul_kernel = std::move(kernel); + } + break; + default: + ARM_COMPUTE_ERROR("Unsupported MatMul Kernel!"); + } +} + +void ClMatMul::run(ITensorPack &tensors) +{ + CLScheduler::get().enqueue_op(*_matmul_kernel, tensors, /* flush */ true); +} + +} // namespace opencl +} // namespace arm_compute |