| /* |
| * Copyright (c) 2017-2021, 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/core/NEON/kernels/NEBatchNormalizationLayerKernel.h" |
| |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/Window.h" |
| |
| #include "src/core/common/Registrars.h" |
| #include "src/core/CPP/Validate.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| #include "src/core/NEON/kernels/batchnormalization/impl/list.h" |
| #include "src/core/NEON/kernels/detail/NEActivationFunctionDetail.h" |
| #include "src/core/NEON/NEFixedPoint.h" |
| #include "src/core/NEON/NEMath.h" |
| #include "src/core/NEON/wrapper/wrapper.h" |
| |
| #include <map> |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| struct BatchNormalizationSelectorData |
| { |
| DataType dt; |
| const CPUInfo &ci; |
| }; |
| using BatchNormalizationSelectorPtr = std::add_pointer<bool(const BatchNormalizationSelectorData &data)>::type; |
| using BatchNormalizationKernelPtr = std::add_pointer<void(ITensor *, |
| ITensor *, |
| const ITensor *, |
| const ITensor *, |
| const ITensor *, |
| const ITensor *, |
| float, |
| ActivationLayerInfo &, |
| const Window &)>::type; |
| |
| struct BatchNormalizationKernel |
| { |
| const char *name; |
| const BatchNormalizationSelectorPtr is_selected; |
| BatchNormalizationKernelPtr ukernel; |
| }; |
| |
| static const BatchNormalizationKernel available_kernels[] = { |
| #if defined(ARM_COMPUTE_ENABLE_SVE) |
| {"sve_fp16_batch_normalization", |
| [](const BatchNormalizationSelectorData &data) { return data.dt == DataType::F16 && data.ci.has_sve(); }, |
| REGISTER_FP16_SVE(arm_compute::cpu::fp16_sve_batch_normalization)}, |
| {"sve_fp32_batch_normalization", |
| [](const BatchNormalizationSelectorData &data) { return data.dt == DataType::F32 && data.ci.has_sve(); }, |
| REGISTER_FP32_SVE(arm_compute::cpu::fp32_sve_batch_normalization)}, |
| #endif /* !defined(ARM_COMPUTE_ENABLE_SVE) */ |
| #if defined(ARM_COMPUTE_ENABLE_NEON) |
| #if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) |
| {"neon_fp16_batch_normalization", |
| [](const BatchNormalizationSelectorData &data) { return data.dt == DataType::F16; }, |
| REGISTER_FP16_NEON(arm_compute::cpu::fp16_neon_batch_normalization)}, |
| #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| {"neon_fp32_batch_normalization", |
| [](const BatchNormalizationSelectorData &data) { return data.dt == DataType::F32; }, |
| REGISTER_FP32_NEON(arm_compute::cpu::fp32_neon_batch_normalization)}, |
| #endif /* !defined(ARM_COMPUTE_ENABLE_NEON) */ |
| }; |
| |
| const BatchNormalizationKernel *get_implementation(const BatchNormalizationSelectorData &data) |
| { |
| for (const auto &uk : available_kernels) |
| { |
| if (uk.is_selected(data)) |
| { |
| return &uk; |
| } |
| } |
| return nullptr; |
| } |
| |
| Status validate_arguments(const ITensorInfo *input, |
| const ITensorInfo *output, |
| const ITensorInfo *mean, |
| const ITensorInfo *var, |
| const ITensorInfo *beta, |
| const ITensorInfo *gamma, |
| float epsilon, |
| ActivationLayerInfo act_info) |
| { |
| ARM_COMPUTE_UNUSED(epsilon); |
| |
| const auto *uk = get_implementation(BatchNormalizationSelectorData{input->data_type(), CPUInfo::get()}); |
| ARM_COMPUTE_RETURN_ERROR_ON(uk == nullptr || uk->ukernel == nullptr); |
| |
| if (act_info.enabled()) |
| { |
| ActivationLayerInfo::ActivationFunction act = act_info.activation(); |
| ARM_COMPUTE_RETURN_ERROR_ON(act != ActivationLayerInfo::ActivationLayerInfo::ActivationFunction::RELU && |
| act != ActivationLayerInfo::ActivationLayerInfo::ActivationFunction::BOUNDED_RELU && |
| act != |
| ActivationLayerInfo::ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU); |
| ARM_COMPUTE_RETURN_ERROR_ON(act_info.b() > act_info.a()); |
| } |
| |
| if (nullptr != output) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| } |
| |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, mean, var); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(mean, var); |
| if (beta != nullptr) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, beta); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(mean, beta); |
| } |
| if (gamma != nullptr) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, gamma); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(mean, gamma); |
| } |
| ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(get_data_layout_dimension_index( |
| input->data_layout(), DataLayoutDimension::CHANNEL)) != mean->dimension(0)); |
| |
| return Status{}; |
| } |
| } //namespace |
| |
| void NEBatchNormalizationLayerKernel::configure_non_fused() |
| { |
| switch (_input->info()->data_type()) |
| { |
| case DataType::F16: |
| _func = REGISTER_FP16_NEON(cpu::fp16_batch_normalization_nchw_non_fused); |
| break; |
| case DataType::F32: |
| _func = REGISTER_FP32_NEON(cpu::fp32_batch_normalization_nchw_non_fused); |
| break; |
| default: |
| ARM_COMPUTE_ERROR("Element size not supported"); |
| break; |
| } |
| } |
| |
| void NEBatchNormalizationLayerKernel::configure_fused() |
| { |
| // NCHW Fused Batched Normalization with activation functions : FP32 |
| static std::map<ActivationLayerInfo::ActivationFunction, BatchNormFunctionPtr> bn_fused_map_f32_nchw = { |
| {ActivationLayerInfo::ActivationFunction::RELU, |
| REGISTER_FP32_NEON(cpu::fp32_batch_normalization_nchw_non_fused_relu)}, |
| {ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, |
| REGISTER_FP32_NEON(cpu::fp32_batch_normalization_nchw_non_fused_brelu)}, |
| {ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, |
| REGISTER_FP32_NEON(cpu::fp32_batch_normalization_nchw_non_fused_lubrelu)}}; |
| |
| // NCHW Fused Batched Normalization with activation functions : FP16 |
| static std::map<ActivationLayerInfo::ActivationFunction, BatchNormFunctionPtr> bn_fused_map_f16_nchw = { |
| {ActivationLayerInfo::ActivationFunction::RELU, |
| REGISTER_FP16_NEON(cpu::fp16_batch_normalization_nchw_non_fused_relu)}, |
| {ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, |
| REGISTER_FP16_NEON(cpu::fp16_batch_normalization_nchw_non_fused_brelu)}, |
| {ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, |
| REGISTER_FP16_NEON(cpu::fp16_batch_normalization_nchw_non_fused_lubrelu)}}; |
| |
| switch (_input->info()->data_type()) |
| { |
| case DataType::F16: |
| _func = bn_fused_map_f16_nchw[_act_info.activation()]; |
| break; |
| case DataType::F32: |
| _func = bn_fused_map_f32_nchw[_act_info.activation()]; |
| break; |
| default: |
| ARM_COMPUTE_ERROR("Element size not supported"); |
| break; |
| } |
| } |
| |
| NEBatchNormalizationLayerKernel::NEBatchNormalizationLayerKernel() |
| : _func(nullptr), |
| _input(nullptr), |
| _output(nullptr), |
| _mean(nullptr), |
| _var(nullptr), |
| _gamma(nullptr), |
| _beta(nullptr), |
| _epsilon(), |
| _act_info() |
| { |
| } |
| |
| void NEBatchNormalizationLayerKernel::configure(ITensor *input, |
| ITensor *output, |
| const ITensor *mean, |
| const ITensor *var, |
| const ITensor *beta, |
| const ITensor *gamma, |
| float epsilon, |
| ActivationLayerInfo act_info) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, mean, var); |
| |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), (output != nullptr) ? output->info() : nullptr, |
| mean->info(), var->info(), (beta != nullptr) ? beta->info() : nullptr, |
| (gamma != nullptr) ? gamma->info() : nullptr, epsilon, act_info)); |
| |
| _input = input; |
| _output = input; |
| _mean = mean; |
| _var = var; |
| _gamma = gamma; |
| _beta = beta; |
| _epsilon = epsilon; |
| _act_info = act_info; |
| |
| const bool run_in_place = (output == nullptr) || (output == input); |
| if (!run_in_place) |
| { |
| _output = output; |
| } |
| |
| // Configure activation function to run |
| const bool is_nchw = _input->info()->data_layout() == DataLayout::NCHW; |
| if (is_nchw) |
| { |
| if (_act_info.enabled()) |
| { |
| configure_fused(); |
| } |
| else |
| { |
| configure_non_fused(); |
| } |
| } |
| |
| // Configure kernel window |
| Window win = calculate_max_window(*input->info(), Steps()); |
| INEKernel::configure(win); |
| |
| if (output != nullptr) |
| { |
| // Output auto initialization if not yet initialized |
| auto_init_if_empty(*output->info(), *input->info()->clone()); |
| } |
| } |
| |
| Status NEBatchNormalizationLayerKernel::validate(const ITensorInfo *input, |
| const ITensorInfo *output, |
| const ITensorInfo *mean, |
| const ITensorInfo *var, |
| const ITensorInfo *beta, |
| const ITensorInfo *gamma, |
| float epsilon, |
| ActivationLayerInfo act_info) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, mean, var, beta, gamma, epsilon, act_info)); |
| |
| return Status{}; |
| } |
| |
| void NEBatchNormalizationLayerKernel::run(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); |
| ARM_COMPUTE_ERROR_ON(_func == nullptr && _input->info()->data_layout() == DataLayout::NCHW); |
| |
| const bool is_nchw = _input->info()->data_layout() == DataLayout::NCHW; |
| if (is_nchw) |
| { |
| (*_func)(window, _input, _output, _mean, _var, _beta, _gamma, _epsilon, _act_info); |
| } |
| else |
| { |
| const auto *uk = |
| get_implementation(BatchNormalizationSelectorData{_input->info()->data_type(), CPUInfo::get()}); |
| uk->ukernel(_input, _output, _mean, _var, _beta, _gamma, _epsilon, _act_info, window); |
| } |
| } |
| } // namespace arm_compute |