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-rw-r--r--src/core/cpu/kernels/CpuElementwiseKernel.cpp354
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diff --git a/src/core/cpu/kernels/CpuElementwiseKernel.cpp b/src/core/cpu/kernels/CpuElementwiseKernel.cpp
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--- a/src/core/cpu/kernels/CpuElementwiseKernel.cpp
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-/*
- * Copyright (c) 2018-2021 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/cpu/kernels/CpuElementwiseKernel.h"
-
-#include "arm_compute/core/Helpers.h"
-#include "src/core/CPP/Validate.h"
-#include "src/core/common/Registrars.h"
-#include "src/core/cpu/kernels/elementwise/neon/elementwise_list.h"
-#include "src/core/cpu/kernels/elementwise/neon/elementwise_quantized_list.h"
-#include "src/core/cpu/kernels/elementwise/sve/elementwise_list.h"
-#include "src/core/cpu/kernels/elementwise/sve/elementwise_quantized_list.h"
-#include "src/core/helpers/AutoConfiguration.h"
-#include "src/core/helpers/WindowHelpers.h"
-
-#include <arm_neon.h>
-
-namespace arm_compute
-{
-namespace cpu
-{
-namespace kernels
-{
-namespace
-{
-using ElementwiseSelector = std::add_pointer<bool(DataType)>::type;
-using UKernelType = CpuElementwiseKernel::ElementwiseFunction;
-struct ElementwiseKernel
-{
- const char *name;
- const ElementwiseSelector is_selected;
- UKernelType *ukernel;
-};
-
-template <DataType dt>
-inline bool is_selected(DataType data_type)
-{
- return dt == data_type;
-}
-
-template <DataType input_data_type, DataType output_data_type = input_data_type>
-static ElementwiseKernel generate_kernel(UKernelType *ukernel)
-{
- std::string kernel_name("op_");
- kernel_name += string_from_data_type(input_data_type) + "_";
- kernel_name += string_from_data_type(input_data_type) + "_";
- kernel_name += string_from_data_type(output_data_type);
-
- return { kernel_name.c_str(), is_selected<input_data_type>, ukernel };
-}
-
-template <ArithmeticOperation op>
-std::function<void(const ITensor *, const ITensor *, ITensor *, const Window &)>
-configure_arithm_func(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst)
-{
- ARM_COMPUTE_UNUSED(src1, dst);
- static ElementwiseKernel kernels[] =
- {
-#if defined(ENABLE_SVE)
- generate_kernel<DataType::F32>(REGISTER_FP32_SVE((arm_compute::cpu::elementwise_arithmetic_op<op, float32_t>))),
- generate_kernel<DataType::S32>(REGISTER_INTEGER_SVE((arm_compute::cpu::elementwise_arithmetic_op<op, int32_t>))),
- generate_kernel<DataType::S16>(REGISTER_INTEGER_SVE((arm_compute::cpu::elementwise_arithmetic_op<op, int16_t>))),
-#endif /* defined(ENABLE_SVE) */
-#if defined(ENABLE_NEON)
- generate_kernel<DataType::F32>(REGISTER_FP32_NEON((arm_compute::cpu::elementwise_arithm_op<op, typename wrapper::traits::neon_vector<float, 4>>))),
- generate_kernel<DataType::S32>(REGISTER_INTEGER_NEON((arm_compute::cpu::elementwise_arithm_op<op, typename wrapper::traits::neon_vector<int32_t, 4>>))),
-#endif /* defined(ENABLE_NEON) */
-#if defined(__ARM_FEATURE_SVE2)
- generate_kernel<DataType::QASYMM8>(REGISTER_QASYMM8_SVE((arm_compute::cpu::elementwise_arithmetic_quantized_op<op, uint8_t>))),
- generate_kernel<DataType::QASYMM8_SIGNED>(REGISTER_QASYMM8_SIGNED_SVE((arm_compute::cpu::elementwise_arithmetic_quantized_op<op, int8_t>))),
-#else /* !defined(__ARM_FEATURE_SVE2) */
- generate_kernel<DataType::QASYMM8>(REGISTER_QASYMM8_NEON((arm_compute::cpu::elementwise_arithm_op_quantized<op>))),
- generate_kernel<DataType::QASYMM8_SIGNED>(REGISTER_QASYMM8_SIGNED_NEON((arm_compute::cpu::elementwise_arithm_op_quantized_signed<op>))),
-#endif /* defined(__ARM_FEATURE_SVE2) */
-#if defined(ENABLE_SVE)
- generate_kernel<DataType::F16>(REGISTER_FP16_SVE((arm_compute::cpu::elementwise_arithmetic_op<op, float16_t>))),
-#endif /* defined(ENABLE_SVE) */
-#if defined(ENABLE_NEON)
-#if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC)
- generate_kernel<DataType::F16>(REGISTER_FP16_NEON((arm_compute::cpu::elementwise_arithm_op<op, typename wrapper::traits::neon_vector<float16_t, 8>>))),
-#endif /* defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) */
- generate_kernel<DataType::S16>(REGISTER_INTEGER_NEON((arm_compute::cpu::elementwise_arithm_op<op, typename wrapper::traits::neon_vector<int16_t, 8>>))),
-#endif /* defined(ENABLE_NEON) */
- };
-
- for(const auto &uk : kernels)
- {
- if(uk.is_selected(src0->data_type()))
- {
- return uk.ukernel;
- }
- }
-
- return nullptr;
-}
-
-template <ComparisonOperation op>
-std::function<void(const ITensor *, const ITensor *, ITensor *, const Window &)>
-configure_comp_func(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst)
-{
- ARM_COMPUTE_UNUSED(src1, dst);
- static ElementwiseKernel kernels[] =
- {
-#if defined(ENABLE_SVE)
- generate_kernel<DataType::U8, DataType::U8>(REGISTER_INTEGER_SVE((arm_compute::cpu::elementwise_comparison_op<op, uint8_t>))),
- generate_kernel<DataType::F32, DataType::U8>(REGISTER_FP32_SVE((arm_compute::cpu::elementwise_comparison_op<op, float>))),
- generate_kernel<DataType::S16, DataType::U8>(REGISTER_INTEGER_SVE((arm_compute::cpu::elementwise_comparison_op<op, int16_t>))),
- generate_kernel<DataType::S32, DataType::U8>(REGISTER_INTEGER_SVE((arm_compute::cpu::elementwise_comparison_op<op, int32_t>))),
-#endif /* defined(ENABLE_SVE) */
-#if defined(ENABLE_NEON)
- generate_kernel<DataType::U8, DataType::U8>(REGISTER_INTEGER_NEON((arm_compute::cpu::elementwise_comp_op_8<op, uint8_t, uint8x16_t>))),
- generate_kernel<DataType::F32, DataType::U8>(REGISTER_FP32_NEON((arm_compute::cpu::elementwise_comp_op_32<op, float, float32x4_t>))),
- generate_kernel<DataType::S16, DataType::U8>(REGISTER_INTEGER_NEON((arm_compute::cpu::elementwise_comp_op_16<op, int16_t, int16x8_t>))),
- generate_kernel<DataType::S32, DataType::U8>(REGISTER_INTEGER_NEON((arm_compute::cpu::elementwise_comp_op_32<op, int32_t, int32x4_t>))),
-#endif /* defined(ENABLE_NEON) */
-#if defined(__ARM_FEATURE_SVE2)
- generate_kernel<DataType::QASYMM8_SIGNED, DataType::U8>(REGISTER_QASYMM8_SIGNED_SVE((arm_compute::cpu::elementwise_comparison_quantized_op<op, int8_t>))),
- generate_kernel<DataType::QASYMM8, DataType::U8>(REGISTER_QASYMM8_SVE((arm_compute::cpu::elementwise_comparison_quantized_op<op, uint8_t>))),
-#else /* !defined(__ARM_FEATURE_SVE2) */
- generate_kernel<DataType::QASYMM8_SIGNED, DataType::U8>(REGISTER_QASYMM8_SIGNED_NEON((arm_compute::cpu::elementwise_comp_op_quantized_signed<op>))),
- generate_kernel<DataType::QASYMM8, DataType::U8>(REGISTER_QASYMM8_NEON((arm_compute::cpu::elementwise_comp_op_quantized<op>))),
-#endif /* defined(__ARM_FEATURE_SVE2) */
-#if defined(ENABLE_SVE)
- generate_kernel<DataType::F16, DataType::U8>(REGISTER_FP16_SVE((arm_compute::cpu::elementwise_comparison_op<op, float16_t>))),
-#endif /* defined(ENABLE_SVE) */
-#if defined(ENABLE_NEON) && defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC)
- generate_kernel<DataType::F16, DataType::U8>(REGISTER_FP16_NEON((arm_compute::cpu::elementwise_comp_op_16<op, float16_t, float16x8_t>))),
-#endif /* defined(ENABLE_NEON) && defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) */
- };
-
- for(const auto &uk : kernels)
- {
- if(uk.is_selected(src0->data_type()))
- {
- return uk.ukernel;
- }
- }
-
- return nullptr;
-}
-} // namespace
-
-Status CpuElementwiseKernel::validate_arguments_common(const ITensorInfo &src0, const ITensorInfo &src1, const ITensorInfo &dst)
-{
- ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(&src0);
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(&src0, &src1);
-
- const TensorShape out_shape = TensorShape::broadcast_shape(src0.tensor_shape(), src1.tensor_shape());
-
- ARM_COMPUTE_RETURN_ERROR_ON_MSG(out_shape.total_size() == 0, "Inputs are not broadcast compatible");
-
- // Validate in case of configured dst
- if(dst.total_size() > 0)
- {
- ARM_COMPUTE_RETURN_ERROR_ON_MSG(detail::have_different_dimensions(out_shape, dst.tensor_shape(), 0),
- "Wrong shape for output");
- }
-
- return Status{};
-}
-
-void CpuElementwiseKernel::configure_common(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst)
-{
- ARM_COMPUTE_ERROR_ON_NULLPTR(src0, src1, dst);
-
- // If any of shapes is dynamic, expect a configured window and dst at run-time.
- if(src0->is_dynamic() || src1->is_dynamic())
- {
- return;
- }
-
- auto shape_and_window = compute_output_shape_and_window(src0->tensor_shape(), src1->tensor_shape());
- auto_init_if_empty(*dst, shape_and_window.first, 1, src0->data_type());
- ICpuKernel::configure(shape_and_window.second);
-}
-
-void CpuElementwiseKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info)
-{
- ARM_COMPUTE_UNUSED(info);
-
- auto src0 = tensors.get_const_tensor(TensorType::ACL_SRC_0);
- auto src1 = tensors.get_const_tensor(TensorType::ACL_SRC_1);
- auto dst = tensors.get_tensor(TensorType::ACL_DST);
-
- auto function = get_implementation(src0->info(), src1->info(), dst->info());
- ARM_COMPUTE_ERROR_ON(function == nullptr);
- function(src0, src1, dst, window);
-}
-
-/** Arithmetic operators (min, max, squared_diff) */
-void CpuArithmeticKernel::configure(ArithmeticOperation op, const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst)
-{
- ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(*src0, *src1, *dst));
- configure_common(src0, src1, dst);
- _op = op;
-}
-
-Status CpuArithmeticKernel::validate_arguments(const ITensorInfo &src0, const ITensorInfo &src1, const ITensorInfo &dst)
-{
- ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&src0, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::S16, DataType::F16, DataType::S32, DataType::F32);
- // Validate in case of configured dst
- if(dst.total_size() > 0)
- {
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(&src0, &dst);
- }
- return validate_arguments_common(src0, src1, dst);
-}
-
-Status CpuArithmeticKernel::validate(ArithmeticOperation op, const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst)
-{
- ARM_COMPUTE_UNUSED(op);
- ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src0, src1, dst);
- ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(*src0, *src1, *dst));
- return Status{};
-}
-
-std::function<CpuElementwiseKernel::ElementwiseFunction>
-CpuArithmeticKernel::get_implementation(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst)
-{
- switch(_op)
- {
- case ArithmeticOperation::MAX:
- return configure_arithm_func<ArithmeticOperation::MAX>(src0, src1, dst);
- case ArithmeticOperation::MIN:
- return configure_arithm_func<ArithmeticOperation::MIN>(src0, src1, dst);
- case ArithmeticOperation::SQUARED_DIFF:
- return configure_arithm_func<ArithmeticOperation::SQUARED_DIFF>(src0, src1, dst);
- case ArithmeticOperation::PRELU:
- return configure_arithm_func<ArithmeticOperation::PRELU>(src0, src1, dst);
- case ArithmeticOperation::DIV:
- return configure_arithm_func<ArithmeticOperation::DIV>(src0, src1, dst);
- case ArithmeticOperation::POWER:
- return configure_arithm_func<ArithmeticOperation::POWER>(src0, src1, dst);
- default:
- ARM_COMPUTE_ERROR("NOT_SUPPORTED!");
- }
- return nullptr;
-}
-
-/** The division operator */
-
-void CpuDivisionKernel::configure(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst)
-{
- ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(*src0, *src1, *dst));
- configure_common(src0, src1, dst);
- _op = ArithmeticOperation::DIV;
-}
-
-Status CpuDivisionKernel::validate_arguments(const ITensorInfo &src0, const ITensorInfo &src1, const ITensorInfo &dst)
-{
- ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&src0, 1, DataType::S32, DataType::F16, DataType::F32);
- return CpuArithmeticKernel::validate_arguments(src0, src1, dst);
-}
-
-Status CpuDivisionKernel::validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst)
-{
- ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src0, src1, dst);
- ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(*src0, *src1, *dst));
- return Status{};
-}
-
-/** The power operator */
-void CpuPowerKernel::configure(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst)
-{
- ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(*src0, *src1, *dst));
- configure_common(src0, src1, dst);
- _op = ArithmeticOperation::POWER;
-}
-
-Status CpuPowerKernel::validate_arguments(const ITensorInfo &src0, const ITensorInfo &src1, const ITensorInfo &dst)
-{
- ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&src0, 1, DataType::F16, DataType::F32);
- return CpuArithmeticKernel::validate_arguments(src0, src1, dst);
-}
-
-Status CpuPowerKernel::validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst)
-{
- ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src0, src1, dst);
- ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(*src0, *src1, *dst));
- return Status{};
-}
-
-/** Comparison operators (equal, not equal, less than, greater than, less than or equal, greater than or equal) */
-void CpuComparisonKernel::configure(ComparisonOperation op, const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst)
-{
- ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(*src0, *src1, *dst));
- configure_common(src0, src1, dst);
- _op = op;
-}
-
-Status CpuComparisonKernel::validate_arguments(const ITensorInfo &src0, const ITensorInfo &src1, const ITensorInfo &dst)
-{
- ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&src0, 1, DataType::U8, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::S16, DataType::F16, DataType::S32, DataType::F32);
- // Validate in case of configured dst
- if(dst.total_size() > 0)
- {
- ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&dst, 1, DataType::U8);
- }
- return validate_arguments_common(src0, src1, dst);
-}
-
-Status CpuComparisonKernel::validate(ComparisonOperation op, const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst)
-{
- ARM_COMPUTE_UNUSED(op);
- ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src0, src1, dst);
- ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(*src0, *src1, *dst));
- return Status{};
-}
-
-std::function<CpuElementwiseKernel::ElementwiseFunction>
-CpuComparisonKernel::get_implementation(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst)
-{
- switch(_op)
- {
- case ComparisonOperation::Equal:
- return configure_comp_func<ComparisonOperation::Equal>(src0, src1, dst);
- case ComparisonOperation::NotEqual:
- return configure_comp_func<ComparisonOperation::NotEqual>(src0, src1, dst);
- case ComparisonOperation::Greater:
- return configure_comp_func<ComparisonOperation::Greater>(src0, src1, dst);
- case ComparisonOperation::GreaterEqual:
- return configure_comp_func<ComparisonOperation::GreaterEqual>(src0, src1, dst);
- case ComparisonOperation::Less:
- return configure_comp_func<ComparisonOperation::Less>(src0, src1, dst);
- case ComparisonOperation::LessEqual:
- return configure_comp_func<ComparisonOperation::LessEqual>(src0, src1, dst);
- default:
- ARM_COMPUTE_ERROR("NOT_SUPPORTED!");
- }
- return nullptr;
-}
-} // namespace kernels
-} // namespace cpu
-} // namespace arm_compute