| /* |
| * Copyright (c) 2019-2022 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/NEMeanStdDevNormalizationKernel.h" |
| |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Types.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/NEMath.h" |
| #include "src/core/NEON/wrapper/wrapper.h" |
| #include "src/cpu/kernels/meanstddevnorm/list.h" |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| struct MeanStdDevNormSelectorData |
| { |
| DataType dt; |
| }; |
| |
| using MeanStdDevNormSelctorPtr = std::add_pointer<bool(const MeanStdDevNormSelectorData &data)>::type; |
| using MeanStdDevNormUKernelPtr = |
| std::add_pointer<void(ITensor *input, ITensor *output, float epsilon, const Window &window)>::type; |
| |
| struct MeanStdDevNormKernel |
| { |
| const char *name; |
| const MeanStdDevNormSelctorPtr is_selected; |
| MeanStdDevNormUKernelPtr ukernel; |
| }; |
| |
| static const std::vector<MeanStdDevNormKernel> available_kernels = { |
| {"fp32_neon_meanstddevnorm", [](const MeanStdDevNormSelectorData &data) { return data.dt == DataType::F32; }, |
| REGISTER_FP32_NEON(arm_compute::cpu::neon_fp32_meanstddevnorm)}, |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| {"fp16_neon_meanstddevnorm", [](const MeanStdDevNormSelectorData &data) { return data.dt == DataType::F16; }, |
| REGISTER_FP16_NEON(arm_compute::cpu::neon_fp16_meanstddevnorm)}, |
| #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| {"qasymm8_neon_meanstddevnorm", [](const MeanStdDevNormSelectorData &data) { return data.dt == DataType::QASYMM8; }, |
| REGISTER_QASYMM8_NEON(arm_compute::cpu::neon_qasymm8_meanstddevnorm)}, |
| }; |
| |
| /** Micro-kernel selector |
| * |
| * @param[in] data Selection data passed to help pick the appropriate micro-kernel |
| * |
| * @return A matching micro-kernel else nullptr |
| */ |
| const MeanStdDevNormKernel *get_implementation(const MeanStdDevNormSelectorData &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, float epsilon) |
| { |
| ARM_COMPUTE_UNUSED(epsilon); |
| ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input); |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->num_dimensions() > 2, "Input tensor cannot have more than 2 dimensions"); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32, DataType::QASYMM8); |
| |
| // Checks performed when output is configured |
| if ((output != nullptr) && (output->total_size() != 0)) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| } |
| return Status{}; |
| } |
| |
| std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output) |
| { |
| if (output != nullptr) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| // Output auto inizialitation if not yet initialized |
| auto_init_if_empty(*output, *input); |
| } |
| |
| // This kernel doesn't need padding. A left-over for loop on dimension X, we cannot have any read or write out of memory |
| // For this reason num_elems_processed_per_iteration is set to 1 |
| Window win = calculate_max_window(*input, Steps()); |
| |
| return std::make_pair(Status{}, win); |
| } |
| } // namespace |
| |
| NEMeanStdDevNormalizationKernel::NEMeanStdDevNormalizationKernel() : _input(nullptr), _output(nullptr), _epsilon(1e-8f) |
| { |
| } |
| |
| void NEMeanStdDevNormalizationKernel::configure(ITensor *input, ITensor *output, float epsilon) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input); |
| |
| ARM_COMPUTE_ERROR_THROW_ON(NEMeanStdDevNormalizationKernel::validate( |
| input->info(), (output != nullptr) ? output->info() : nullptr, epsilon)); |
| |
| _input = input; |
| _output = (output == nullptr) ? input : output; |
| _epsilon = epsilon; |
| |
| // Configure kernel window |
| auto win_config = validate_and_configure_window(input->info(), (output == nullptr) ? nullptr : output->info()); |
| ARM_COMPUTE_ERROR_THROW_ON(win_config.first); |
| ICPPKernel::configure(win_config.second); |
| } |
| |
| Status NEMeanStdDevNormalizationKernel::validate(const ITensorInfo *input, const ITensorInfo *output, float epsilon) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, epsilon)); |
| ARM_COMPUTE_RETURN_ON_ERROR( |
| validate_and_configure_window(input->clone().get(), (output != nullptr) ? output->clone().get() : nullptr) |
| .first); |
| return Status{}; |
| } |
| |
| void NEMeanStdDevNormalizationKernel::run(const Window &window, const ThreadInfo &info) |
| { |
| ARM_COMPUTE_UNUSED(info); |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); |
| |
| const auto *uk = get_implementation(MeanStdDevNormSelectorData{_output->info()->data_type()}); |
| ARM_COMPUTE_ERROR_ON(uk == nullptr || uk->ukernel == nullptr); |
| |
| uk->ukernel(_input, _output, _epsilon, window); |
| } |
| } // namespace arm_compute |