| /* |
| * Copyright (c) 2017-2020 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 "arm_compute/runtime/CL/functions/CLGEMMLowpOutputStage.h" |
| |
| #include "arm_compute/core/CL/ICLTensor.h" |
| #include "arm_compute/core/Types.h" |
| #include "src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleByFixedPointKernel.h" |
| #include "src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel.h" |
| #include "src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleKernel.h" |
| |
| #include <algorithm> |
| |
| namespace arm_compute |
| { |
| void CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, |
| int result_fixedpoint_multiplier, int result_shift, int result_offset_after_shift, |
| int min, int max) |
| { |
| configure(CLKernelLibrary::get().get_compile_context(), input, bias, output, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max); |
| } |
| |
| void CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, |
| int result_fixedpoint_multiplier, int result_shift, int result_offset_after_shift, |
| int min, int max) |
| { |
| GEMMLowpOutputStageInfo info{}; |
| info.gemmlowp_multiplier = result_fixedpoint_multiplier; |
| info.gemmlowp_shift = result_shift; |
| info.gemmlowp_offset = result_offset_after_shift; |
| info.gemmlowp_min_bound = min; |
| info.gemmlowp_max_bound = max; |
| info.output_data_type = DataType::QASYMM8; |
| auto k = std::make_unique<CLGEMMLowpQuantizeDownInt32ScaleByFixedPointKernel>(); |
| k->configure(compile_context, input, bias, output, &info); |
| _kernel = std::move(k); |
| } |
| |
| Status CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, |
| int min, int max) |
| { |
| GEMMLowpOutputStageInfo info{}; |
| info.gemmlowp_min_bound = min; |
| info.gemmlowp_max_bound = max; |
| info.output_data_type = DataType::QASYMM8; |
| return CLGEMMLowpQuantizeDownInt32ScaleByFixedPointKernel::validate(input, bias, output, &info); |
| } |
| |
| void CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPoint::configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, |
| int result_fixedpoint_multiplier, int result_shift, int result_offset_after_shift, |
| int min, int max) |
| { |
| configure(CLKernelLibrary::get().get_compile_context(), input, bias, output, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max); |
| } |
| |
| void CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPoint::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, |
| int result_fixedpoint_multiplier, int result_shift, int result_offset_after_shift, |
| int min, int max) |
| { |
| GEMMLowpOutputStageInfo info{}; |
| info.gemmlowp_multiplier = result_fixedpoint_multiplier; |
| info.gemmlowp_shift = result_shift; |
| info.gemmlowp_offset = result_offset_after_shift; |
| info.gemmlowp_min_bound = min; |
| info.gemmlowp_max_bound = max; |
| info.output_data_type = DataType::QASYMM8_SIGNED; |
| auto k = std::make_unique<CLGEMMLowpQuantizeDownInt32ScaleByFixedPointKernel>(); |
| k->configure(compile_context, input, bias, output, &info); |
| _kernel = std::move(k); |
| } |
| |
| Status CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPoint::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, |
| int min, int max) |
| { |
| GEMMLowpOutputStageInfo info{}; |
| info.gemmlowp_min_bound = min; |
| info.gemmlowp_max_bound = max; |
| info.output_data_type = DataType::QASYMM8_SIGNED; |
| return CLGEMMLowpQuantizeDownInt32ScaleByFixedPointKernel::validate(input, bias, output, &info); |
| } |
| |
| void CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint::configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, |
| int result_fixedpoint_multiplier, int result_shift, |
| int min, int max) |
| { |
| configure(CLKernelLibrary::get().get_compile_context(), input, bias, output, result_fixedpoint_multiplier, result_shift, min, max); |
| } |
| |
| void CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, |
| int result_fixedpoint_multiplier, int result_shift, |
| int min, int max) |
| { |
| GEMMLowpOutputStageInfo info{}; |
| info.gemmlowp_multiplier = result_fixedpoint_multiplier; |
| info.gemmlowp_shift = result_shift; |
| info.gemmlowp_min_bound = min; |
| info.gemmlowp_max_bound = max; |
| info.output_data_type = DataType::QSYMM16; |
| auto k = std::make_unique<CLGEMMLowpQuantizeDownInt32ScaleByFixedPointKernel>(); |
| k->configure(compile_context, input, bias, output, &info); |
| _kernel = std::move(k); |
| } |
| |
| Status CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, |
| int min, int max) |
| { |
| GEMMLowpOutputStageInfo info{}; |
| info.gemmlowp_min_bound = min; |
| info.gemmlowp_max_bound = max; |
| info.output_data_type = DataType::QSYMM16; |
| return CLGEMMLowpQuantizeDownInt32ScaleByFixedPointKernel::validate(input, bias, output, &info); |
| } |
| |
| void CLGEMMLowpOutputStage::configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, const GEMMLowpOutputStageInfo &info) |
| { |
| configure(CLKernelLibrary::get().get_compile_context(), input, bias, output, info); |
| } |
| |
| void CLGEMMLowpOutputStage::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, const GEMMLowpOutputStageInfo &info) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| |
| switch(info.type) |
| { |
| case GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT: |
| { |
| auto k = std::make_unique<CLGEMMLowpQuantizeDownInt32ScaleByFixedPointKernel>(); |
| k->configure(compile_context, input, bias, output, &info); |
| _kernel = std::move(k); |
| break; |
| } |
| case GEMMLowpOutputStageType::QUANTIZE_DOWN: |
| { |
| auto k = std::make_unique<CLGEMMLowpQuantizeDownInt32ScaleKernel>(); |
| k->configure(compile_context, input, bias, output, &info); |
| _kernel = std::move(k); |
| break; |
| } |
| case GEMMLowpOutputStageType::QUANTIZE_DOWN_FLOAT: |
| { |
| auto k = std::make_unique<CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel>(); |
| k->configure(compile_context, input, bias, output, &info); |
| _kernel = std::move(k); |
| break; |
| } |
| default: |
| ARM_COMPUTE_ERROR("Unsupported GEMMLowpOutputStage type."); |
| } |
| } |
| |
| Status CLGEMMLowpOutputStage::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, const GEMMLowpOutputStageInfo &info) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::QSYMM16); |
| |
| switch(info.type) |
| { |
| case GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT: |
| return CLGEMMLowpQuantizeDownInt32ScaleByFixedPointKernel::validate(input, bias, output, &info); |
| case GEMMLowpOutputStageType::QUANTIZE_DOWN: |
| return CLGEMMLowpQuantizeDownInt32ScaleKernel::validate(input, bias, output, &info); |
| case GEMMLowpOutputStageType::QUANTIZE_DOWN_FLOAT: |
| return CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel::validate(input, bias, output, &info); |
| default: |
| return ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Unsupported GEMMLowpOutputStage type."); |
| } |
| } |
| } // namespace arm_compute |