diff options
Diffstat (limited to 'src/core/NEON/kernels/NEArithmeticAdditionKernel.cpp')
| -rw-r--r-- | src/core/NEON/kernels/NEArithmeticAdditionKernel.cpp | 331 |
1 files changed, 0 insertions, 331 deletions
diff --git a/src/core/NEON/kernels/NEArithmeticAdditionKernel.cpp b/src/core/NEON/kernels/NEArithmeticAdditionKernel.cpp deleted file mode 100644 index 4b53d26a5a..0000000000 --- a/src/core/NEON/kernels/NEArithmeticAdditionKernel.cpp +++ /dev/null @@ -1,331 +0,0 @@ -/* - * Copyright (c) 2016-2021 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/core/NEON/kernels/NEArithmeticAdditionKernel.h" - -#include "arm_compute/core/Error.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/ITensor.h" -#include "arm_compute/core/Validate.h" -#include "src/core/CPP/Validate.h" -#include "src/core/NEON/kernels/arithmetic_addition/impl/NEON/list.h" -#include "src/core/NEON/kernels/arithmetic_addition/impl/SVE/list.h" -#include "src/core/NEON/wrapper/wrapper.h" -#include "src/core/common/Registrars.h" -#include "src/core/helpers/AutoConfiguration.h" -#include "src/core/helpers/WindowHelpers.h" - -#include <map> -#include <string> - -namespace arm_compute -{ -namespace -{ -struct ArithmeticAdditionSelectorData -{ - DataType dt1; - DataType dt2; - DataType dt3; -}; - -using ArithmeticAdditionSelectorPtr = std::add_pointer<bool(const ArithmeticAdditionSelectorData &data)>::type; - -struct ArithmeticAdditionKernel -{ - const char *name; - const ArithmeticAdditionSelectorPtr is_selected; - NEArithmeticAdditionKernel::ArithmeticAdditionKernelPtr ukernel; -}; - -static const ArithmeticAdditionKernel available_kernels[] = -{ -#if defined(__ARM_FEATURE_SVE) - { - "arithmetic_addition_same_sve", - [](const ArithmeticAdditionSelectorData & data) { return ((data.dt1 == data.dt2) && (data.dt1 == DataType::F32)); }, - REGISTER_FP32_SVE(arm_compute::cpu::arithmetic_addition_same_sve<float>) - }, - { - "arithmetic_addition_same_sve", - [](const ArithmeticAdditionSelectorData & data) { return ((data.dt1 == data.dt2) && (data.dt1 == DataType::F16)); }, - REGISTER_FP16_SVE(arm_compute::cpu::arithmetic_addition_same_sve<float16_t>) - }, - { - "arithmetic_addition_same_sve", - [](const ArithmeticAdditionSelectorData & data) { return ((data.dt1 == data.dt2) && (data.dt1 == data.dt3) && (data.dt1 == DataType::U8)); }, - REGISTER_INTEGER_SVE(arm_compute::cpu::arithmetic_addition_same_sve<uint8_t>) - }, - { - "arithmetic_addition_same_sve", - [](const ArithmeticAdditionSelectorData & data) { return ((data.dt1 == data.dt2) && (data.dt1 == data.dt3) && (data.dt1 == DataType::S16)); }, - REGISTER_INTEGER_SVE(arm_compute::cpu::arithmetic_addition_same_sve<int16_t>) - }, - { - "arithmetic_addition_same_sve", - [](const ArithmeticAdditionSelectorData & data) { return ((data.dt1 == data.dt2) && (data.dt1 == data.dt3) && (data.dt1 == DataType::S32)); }, - REGISTER_INTEGER_SVE(arm_compute::cpu::arithmetic_addition_same_sve<int32_t>) - }, - { - "arithmetic_addition_U8_S16_S16_sve", - [](const ArithmeticAdditionSelectorData & data) { return ((data.dt1 == DataType::U8) && (data.dt2 == DataType::S16)); }, - REGISTER_INTEGER_SVE(arm_compute::cpu::arithmetic_addition_U8_S16_S16_sve) - }, - { - "arithmetic_addition_S16_U8_S16_sve", - [](const ArithmeticAdditionSelectorData & data) { return ((data.dt1 == DataType::S16) && (data.dt2 == DataType::U8)); }, - REGISTER_INTEGER_SVE(arm_compute::cpu::arithmetic_addition_S16_U8_S16_sve) - }, - { - "arithmetic_addition_U8_U8_S16_sve", - [](const ArithmeticAdditionSelectorData & data) { return ((data.dt1 == data.dt2) && (data.dt3 == DataType::S16)); }, - REGISTER_INTEGER_SVE(arm_compute::cpu::arithmetic_addition_U8_U8_S16_sve) - }, -#else /* !defined(__ARM_FEATURE_SVE) */ - { - "arithmetic_addition_same_neon", - [](const ArithmeticAdditionSelectorData & data) { return ((data.dt1 == data.dt2) && (data.dt1 == DataType::F32)); }, - REGISTER_FP32_NEON(arm_compute::cpu::arithmetic_addition_same_neon<float>) - }, -#if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) - { - "arithmetic_addition_same_neon", - [](const ArithmeticAdditionSelectorData & data) { return ((data.dt1 == data.dt2) && (data.dt1 == DataType::F16)); }, - REGISTER_FP16_NEON(arm_compute::cpu::arithmetic_addition_same_neon<float16_t>) - }, -#endif /* defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) */ - { - "arithmetic_addition_same_neon", - [](const ArithmeticAdditionSelectorData & data) { return ((data.dt1 == data.dt2) && (data.dt1 == data.dt3) && (data.dt1 == DataType::U8)); }, - REGISTER_INTEGER_NEON(arm_compute::cpu::arithmetic_addition_same_neon<uint8_t>) - }, - { - "arithmetic_addition_same_neon", - [](const ArithmeticAdditionSelectorData & data) { return ((data.dt1 == data.dt2) && (data.dt1 == data.dt3) && (data.dt1 == DataType::S16)); }, - REGISTER_INTEGER_NEON(arm_compute::cpu::arithmetic_addition_same_neon<int16_t>) - }, - { - "arithmetic_addition_same_neon", - [](const ArithmeticAdditionSelectorData & data) { return ((data.dt1 == data.dt2) && (data.dt1 == data.dt3) && (data.dt1 == DataType::S32)); }, - REGISTER_INTEGER_NEON(arm_compute::cpu::arithmetic_addition_same_neon<int32_t>) - }, - { - "arithmetic_addition_U8_S16_S16_neon", - [](const ArithmeticAdditionSelectorData & data) { return ((data.dt1 == DataType::U8) && (data.dt2 == DataType::S16)); }, - REGISTER_INTEGER_NEON(arm_compute::cpu::arithmetic_addition_U8_S16_S16_neon) - }, - { - "arithmetic_addition_S16_U8_S16_neon", - [](const ArithmeticAdditionSelectorData & data) { return ((data.dt1 == DataType::S16) && (data.dt2 == DataType::U8)); }, - REGISTER_INTEGER_NEON(arm_compute::cpu::arithmetic_addition_S16_U8_S16_neon) - }, - { - "arithmetic_addition_U8_U8_S16_neon", - [](const ArithmeticAdditionSelectorData & data) { return ((data.dt1 == data.dt2) && (data.dt3 == DataType::S16)); }, - REGISTER_INTEGER_NEON(arm_compute::cpu::arithmetic_addition_U8_U8_S16_neon) - }, -#endif /* defined(__ARM_FEATURE_SVE) */ - -#if defined(__ARM_FEATURE_SVE2) - { - "arithmetic_addition_qasymm8_sve", - [](const ArithmeticAdditionSelectorData & data) { return ((data.dt1 == data.dt2) && (data.dt1 == DataType::QASYMM8)); }, - REGISTER_QASYMM8_SVE(arm_compute::cpu::arithmetic_addition_qasymm8_sve) - }, - { - "arithmetic_addition_qasymm8_signed_sve", - [](const ArithmeticAdditionSelectorData & data) { return ((data.dt1 == data.dt2) && (data.dt1 == DataType::QASYMM8_SIGNED)); }, - REGISTER_QASYMM8_SIGNED_SVE(arm_compute::cpu::arithmetic_addition_qasymm8_signed_sve) - }, - { - "arithmetic_addition_qsymm16_sve", - [](const ArithmeticAdditionSelectorData & data) { return ((data.dt1 == data.dt2) && (data.dt1 == DataType::QSYMM16)); }, - REGISTER_QSYMM16_SVE(arm_compute::cpu::arithmetic_addition_qsymm16_sve) - }, -#else /* !defined(__ARM_FEATURE_SVE2) */ - { - "arithmetic_addition_qasymm8_neon", - [](const ArithmeticAdditionSelectorData & data) { return ((data.dt1 == data.dt2) && (data.dt1 == DataType::QASYMM8)); }, - REGISTER_QASYMM8_NEON(arm_compute::cpu::arithmetic_addition_qasymm8_neon) - }, - { - "arithmetic_addition_qasymm8_signed_neon", - [](const ArithmeticAdditionSelectorData & data) { return ((data.dt1 == data.dt2) && (data.dt1 == DataType::QASYMM8_SIGNED)); }, - REGISTER_QASYMM8_SIGNED_NEON(arm_compute::cpu::arithmetic_addition_qasymm8_signed_neon) - }, - { - "arithmetic_addition_qsymm16_neon", - [](const ArithmeticAdditionSelectorData & data) { return ((data.dt1 == data.dt2) && (data.dt1 == DataType::QSYMM16)); }, - REGISTER_QSYMM16_NEON(arm_compute::cpu::arithmetic_addition_qsymm16_neon) - }, -#endif /* defined(__ARM_FEATURE_SVE2) */ - -}; - -const ArithmeticAdditionKernel *get_implementation(DataType dt1, DataType dt2, DataType dt3) -{ - for(const auto &uk : available_kernels) - { - if(uk.is_selected({ dt1, dt2, dt3 })) - { - return &uk; - } - } - return nullptr; -} - -Status validate_arguments(const ITensorInfo &input1, const ITensorInfo &input2, const ITensorInfo &output, ConvertPolicy policy) -{ - ARM_COMPUTE_UNUSED(policy); - - ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(&input1); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&input1, 1, DataType::U8, DataType::QASYMM8, DataType::QASYMM8_SIGNED, - DataType::S16, DataType::QSYMM16, DataType::F16, - DataType::S32, DataType::F32); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&input2, 1, DataType::U8, DataType::QASYMM8, DataType::QASYMM8_SIGNED, - DataType::S16, DataType::QSYMM16, DataType::F16, - DataType::S32, DataType::F32); - - const TensorShape out_shape = TensorShape::broadcast_shape(input1.tensor_shape(), input2.tensor_shape()); - - ARM_COMPUTE_RETURN_ERROR_ON_MSG(out_shape.total_size() == 0, "Inputs are not broadcast compatible"); - ARM_COMPUTE_RETURN_ERROR_ON_MSG((input1.tensor_shape().x() != input2.tensor_shape().x()) && ((input1.data_type() != input2.data_type()) || (input1.data_type() != output.data_type()) - || (input2.data_type() != output.data_type())), - "Broadcasting across width is supported on configurations where all tensors have the same data type"); - - // Validate in case of configured output - if(output.total_size() > 0) - { - ARM_COMPUTE_RETURN_ERROR_ON_MSG( - !(input1.data_type() == DataType::U8 && input2.data_type() == DataType::U8 && output.data_type() == DataType::U8) - && !(input1.data_type() == DataType::U8 && input2.data_type() == DataType::U8 && output.data_type() == DataType::S16) - && !(input1.data_type() == DataType::U8 && input2.data_type() == DataType::S16 && output.data_type() == DataType::S16) - && !(input1.data_type() == DataType::S16 && input2.data_type() == DataType::U8 && output.data_type() == DataType::S16) - && !(input1.data_type() == DataType::S16 && input2.data_type() == DataType::S16 && output.data_type() == DataType::S16) - && !(input1.data_type() == DataType::S32 && input2.data_type() == DataType::S32 && output.data_type() == DataType::S32) - && !(input1.data_type() == DataType::F32 && input2.data_type() == DataType::F32 && output.data_type() == DataType::F32) - && !(input1.data_type() == DataType::F16 && input2.data_type() == DataType::F16 && output.data_type() == DataType::F16) - && !(input1.data_type() == DataType::QASYMM8 && input2.data_type() == DataType::QASYMM8 && output.data_type() == DataType::QASYMM8) - && !(input1.data_type() == DataType::QASYMM8_SIGNED && input2.data_type() == DataType::QASYMM8_SIGNED && output.data_type() == DataType::QASYMM8_SIGNED) - && !(input1.data_type() == DataType::QSYMM16 && input2.data_type() == DataType::QSYMM16 && output.data_type() == DataType::QSYMM16), - "You called addition with the wrong image formats"); - - ARM_COMPUTE_RETURN_ERROR_ON_MSG(detail::have_different_dimensions(out_shape, output.tensor_shape(), 0), - "Wrong shape for output"); - } - - return Status{}; -} - -std::pair<Status, Window> validate_and_configure_window(const ITensorInfo &input1, const ITensorInfo &input2, ITensorInfo &output) -{ - const std::pair<TensorShape, ValidRegion> broadcast_pair = ITensorInfo::broadcast_shape_and_valid_region(input1, input2); - const TensorShape &out_shape = broadcast_pair.first; - const ValidRegion &valid_region = broadcast_pair.second; - - // Auto initialize output if not initialized - { - set_shape_if_empty(output, out_shape); - - if(input1.data_type() == DataType::S16 || input2.data_type() == DataType::S16) - { - set_format_if_unknown(output, Format::S16); - } - if(input1.data_type() == DataType::S32 || input2.data_type() == DataType::S32) - { - set_format_if_unknown(output, Format::S32); - } - else if(input1.data_type() == DataType::F16 || input2.data_type() == DataType::F16) - { - set_format_if_unknown(output, Format::F16); - } - else if(input1.data_type() == DataType::F32 || input2.data_type() == DataType::F32) - { - set_format_if_unknown(output, Format::F32); - } - else if(input1.data_type() == DataType::QASYMM8 || input2.data_type() == DataType::QASYMM8) - { - set_data_type_if_unknown(output, DataType::QASYMM8); - } - else if(input1.data_type() == DataType::QASYMM8_SIGNED || input2.data_type() == DataType::QASYMM8_SIGNED) - { - set_data_type_if_unknown(output, DataType::QASYMM8_SIGNED); - } - else if(input1.data_type() == DataType::QSYMM16 || input2.data_type() == DataType::QSYMM16) - { - set_data_type_if_unknown(output, DataType::QSYMM16); - } - } - - Window win = calculate_max_window(valid_region, Steps()); - - // NEArithmeticAdditionKernel doesn't need padding so update_window_and_padding() can be skipped - Coordinates coord; - coord.set_num_dimensions(output.num_dimensions()); - output.set_valid_region(valid_region); - return std::make_pair(Status{}, win); -} -} // namespace - -NEArithmeticAdditionKernel::NEArithmeticAdditionKernel() - : _func(nullptr), _policy() -{ -} - -void NEArithmeticAdditionKernel::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output, ConvertPolicy policy) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(input1, input2, output); - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(*input1, *input2, *output, policy)); - - _policy = policy; - _func = get_implementation(input1->data_type(), input2->data_type(), output->data_type())->ukernel; - - // Configure kernel window - auto win_config = validate_and_configure_window(*input1, *input2, *output); - ARM_COMPUTE_ERROR_THROW_ON(win_config.first); - INEKernel::configure(win_config.second); -} - -Status NEArithmeticAdditionKernel::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy) -{ - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input1, input2, output); - - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(*input1, *input2, *output, policy)); - ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(*input1->clone(), *input2->clone(), *output->clone()).first); - - return Status{}; -} - -void NEArithmeticAdditionKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) -{ - ARM_COMPUTE_UNUSED(info); - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); - // Dispatch kernel - (*_func)(tensors.get_const_tensor(TensorType::ACL_SRC_0), - tensors.get_const_tensor(TensorType::ACL_SRC_1), - tensors.get_tensor(TensorType::ACL_DST), - _policy, - window); -} -} // namespace arm_compute |