diff options
Diffstat (limited to 'src/cpu/operators/CpuGemmLowpOutputStage.cpp')
| -rw-r--r-- | src/cpu/operators/CpuGemmLowpOutputStage.cpp | 165 |
1 files changed, 165 insertions, 0 deletions
diff --git a/src/cpu/operators/CpuGemmLowpOutputStage.cpp b/src/cpu/operators/CpuGemmLowpOutputStage.cpp new file mode 100644 index 0000000000..4215eed199 --- /dev/null +++ b/src/cpu/operators/CpuGemmLowpOutputStage.cpp @@ -0,0 +1,165 @@ +/* + * Copyright (c) 2021 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/cpu/operators/CpuGemmLowpOutputStage.h" + +#include "arm_compute/core/ITensor.h" +#include "arm_compute/core/Validate.h" +#include "arm_compute/runtime/NEON/NEScheduler.h" + +#include "src/common/utils/Log.h" +#include "src/cpu/kernels/CpuGemmLowpQuantizeDownInt32ScaleKernel.h" +#include "src/cpu/kernels/CpuGemmLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.h" +#include "src/cpu/kernels/CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel.h" +#include "src/cpu/kernels/CpuGemmLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.h" + +namespace arm_compute +{ +namespace cpu +{ +void CpuGemmLowpOutputStage::configure(ITensorInfo *src, + ITensorInfo *bias, + ITensorInfo *dst, + const GEMMLowpOutputStageInfo &info) +{ + // Perform validate step + ARM_COMPUTE_ERROR_THROW_ON(CpuGemmLowpOutputStage::validate(src, bias, dst, info)); + ARM_COMPUTE_LOG_PARAMS(src, bias, dst, info); + + switch (info.type) + { + case GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT: + { + switch (info.output_data_type) + { + case DataType::QASYMM8: + { + auto k = std::make_unique<kernels::CpuGemmLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel>(); + k->configure(src, bias, dst, info.gemmlowp_multiplier, info.gemmlowp_shift, info.gemmlowp_offset, + info.gemmlowp_min_bound, info.gemmlowp_max_bound); + _kernel = std::move(k); + break; + } + case DataType::QASYMM8_SIGNED: + { + auto k = std::make_unique<kernels::CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel>(); + k->configure(src, bias, dst, info.gemmlowp_multiplier, info.gemmlowp_shift, info.gemmlowp_offset, + info.gemmlowp_min_bound, info.gemmlowp_max_bound); + _kernel = std::move(k); + break; + } + case DataType::QSYMM16: + { + auto k = std::make_unique<kernels::CpuGemmLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel>(); + k->configure(src, bias, dst, info.gemmlowp_multiplier, info.gemmlowp_shift, info.gemmlowp_min_bound, + info.gemmlowp_max_bound); + _kernel = std::move(k); + break; + } + default: + { + ARM_COMPUTE_ERROR("Unsupported output data type."); + break; + } + } + break; + } + case GEMMLowpOutputStageType::QUANTIZE_DOWN: + { + switch (info.output_data_type) + { + case DataType::QASYMM8: + case DataType::QASYMM8_SIGNED: + { + auto k = std::make_unique<kernels::CpuGemmLowpQuantizeDownInt32ScaleKernel>(); + k->configure(src, bias, dst, &info); + _kernel = std::move(k); + break; + } + default: + { + ARM_COMPUTE_ERROR("Unsupported output data type."); + break; + } + } + break; + } + default: + ARM_COMPUTE_ERROR("Unsupported GEMMLowpOutputStage type."); + } +} + +Status CpuGemmLowpOutputStage::validate(const ITensorInfo *src, + const ITensorInfo *bias, + const ITensorInfo *dst, + const GEMMLowpOutputStageInfo &info) +{ + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(dst->data_type() == DataType::UNKNOWN, + "CpuGemmLowpOutputStage cannot be used with UNKNOWN output data type."); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(dst, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, + DataType::QSYMM16); + ARM_COMPUTE_RETURN_ERROR_ON((info.type != GEMMLowpOutputStageType::QUANTIZE_DOWN) && + (info.type != GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT)); + + switch (info.type) + { + case GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT: + { + switch (dst->data_type()) + { + case DataType::QASYMM8: + return kernels::CpuGemmLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::validate( + src, bias, dst, info.gemmlowp_min_bound, info.gemmlowp_max_bound); + case DataType::QASYMM8_SIGNED: + return kernels::CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel::validate( + src, bias, dst, info.gemmlowp_min_bound, info.gemmlowp_max_bound); + case DataType::QSYMM16: + return kernels::CpuGemmLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel::validate( + src, bias, dst, info.gemmlowp_min_bound, info.gemmlowp_max_bound); + default: + return ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Unsupported output data type."); + } + } + case GEMMLowpOutputStageType::QUANTIZE_DOWN: + { + switch (dst->data_type()) + { + case DataType::QASYMM8: + case DataType::QASYMM8_SIGNED: + return kernels::CpuGemmLowpQuantizeDownInt32ScaleKernel::validate(src, bias, dst, &info); + default: + return ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Unsupported output data type."); + } + } + default: + return ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Unsupported GEMMLowpOutputStage type."); + } +} + +void CpuGemmLowpOutputStage::run(ITensorPack &tensors) +{ + NEScheduler::get().schedule_op(_kernel.get(), Window::DimY, _kernel->window(), tensors); +} +} // namespace cpu +} // namespace arm_compute |