| /* |
| * 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/NEROIAlignLayerKernel.h" |
| |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include "arm_compute/core/utils/misc/Utility.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/cpu/kernels/roialign/list.h" |
| |
| #include <arm_neon.h> |
| |
| using namespace arm_compute::misc::shape_calculator; |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| struct ROIAlignSelectorData |
| { |
| DataType dt; |
| }; |
| |
| using ROIAlignSelctorPtr = std::add_pointer<bool(const ROIAlignSelectorData &data)>::type; |
| using ROIAlignUKernelPtr = std::add_pointer<void(const ITensor *input, |
| ITensor *output, |
| const ITensor *rois, |
| ROIPoolingLayerInfo pool_info, |
| const Window &window, |
| const ThreadInfo &info)>::type; |
| |
| struct ROIAlignKernel |
| { |
| const char *name; |
| const ROIAlignSelctorPtr is_selected; |
| ROIAlignUKernelPtr ukernel; |
| }; |
| |
| static const ROIAlignKernel available_kernels[] = { |
| {"fp32_neon_roialign", [](const ROIAlignSelectorData &data) { return data.dt == DataType::F32; }, |
| REGISTER_FP32_NEON(arm_compute::cpu::neon_fp32_roialign)}, |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| {"fp16_neon_roialign", [](const ROIAlignSelectorData &data) { return data.dt == DataType::F16; }, |
| REGISTER_FP16_NEON(arm_compute::cpu::neon_fp16_roialign)}, |
| #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| #if defined(ARM_COMPUTE_ENABLE_NEON) |
| {"qu8_neon_roialign", [](const ROIAlignSelectorData &data) { return data.dt == DataType::QASYMM8; }, |
| REGISTER_QASYMM8_NEON(arm_compute::cpu::neon_qu8_roialign)}, |
| {"qs8_neon_roialign", [](const ROIAlignSelectorData &data) { return data.dt == DataType::QASYMM8_SIGNED; }, |
| REGISTER_QASYMM8_SIGNED_NEON(arm_compute::cpu::neon_qs8_roialign)}, |
| #endif //defined(ARM_COMPUTE_ENABLE_NEON) |
| }; |
| |
| /** Micro-kernel selector |
| * |
| * @param[in] data Selection data passed to help pick the appropriate micro-kernel |
| * |
| * @return A matching micro-kernel else nullptr |
| */ |
| const ROIAlignKernel *get_implementation(const ROIAlignSelectorData &data) |
| { |
| for (const auto &uk : available_kernels) |
| { |
| if (uk.is_selected(data)) |
| { |
| return &uk; |
| } |
| } |
| return nullptr; |
| } |
| |
| Status validate_arguments(const ITensorInfo *input, |
| const ITensorInfo *rois, |
| ITensorInfo *output, |
| const ROIPoolingLayerInfo &pool_info) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, rois, output); |
| ARM_COMPUTE_RETURN_ERROR_ON(rois->dimension(0) != 5); |
| ARM_COMPUTE_RETURN_ERROR_ON(rois->num_dimensions() > 2); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, |
| DataType::F32, DataType::F16); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_LAYOUT_NOT_IN(input, DataLayout::NHWC, DataLayout::NCHW); |
| ARM_COMPUTE_RETURN_ERROR_ON((pool_info.pooled_width() == 0) || (pool_info.pooled_height() == 0)); |
| ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input); |
| |
| if (output->total_size() != 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(compute_roi_align_shape(*input, *rois, pool_info), |
| output->tensor_shape()); |
| } |
| |
| if (input->data_type() == DataType::QASYMM8 || input->data_type() == DataType::QASYMM8_SIGNED) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(rois, 1, DataType::QASYMM16); |
| |
| const UniformQuantizationInfo rois_qinfo = rois->quantization_info().uniform(); |
| ARM_COMPUTE_RETURN_ERROR_ON(rois_qinfo.scale != 0.125f); |
| ARM_COMPUTE_RETURN_ERROR_ON(rois_qinfo.offset != 0); |
| } |
| else |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, rois); |
| } |
| |
| return Status{}; |
| } |
| } // namespace |
| |
| NEROIAlignLayerKernel::NEROIAlignLayerKernel() |
| : _input(nullptr), _output(nullptr), _rois(nullptr), _pool_info(0, 0, 0.f) |
| { |
| } |
| |
| void NEROIAlignLayerKernel::configure(const ITensor *input, |
| const ITensor *rois, |
| ITensor *output, |
| const ROIPoolingLayerInfo &pool_info) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output, rois); |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), rois->info(), output->info(), pool_info)); |
| // Output auto inizialitation if not yet initialized |
| const TensorShape output_shape = compute_roi_align_shape(*input->info(), *rois->info(), pool_info); |
| auto_init_if_empty((*output->info()), output_shape, 1, input->info()->data_type(), |
| input->info()->quantization_info()); |
| output->info()->set_data_layout(input->info()->data_layout()); |
| |
| // Configure kernel window |
| const unsigned int num_rois = rois->info()->dimension(1); |
| Window window; |
| window.set(Window::DimX, Window::Dimension(0, num_rois)); |
| window.set(Window::DimY, Window::Dimension(0, 1)); |
| |
| // Set instance variables |
| _input = input; |
| _rois = rois; |
| _output = output; |
| _pool_info = pool_info; |
| |
| INEKernel::configure(window); |
| } |
| |
| Status NEROIAlignLayerKernel::validate(const ITensorInfo *input, |
| const ITensorInfo *rois, |
| ITensorInfo *output, |
| const ROIPoolingLayerInfo &pool_info) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, rois, output, pool_info)); |
| return Status{}; |
| } |
| |
| void NEROIAlignLayerKernel::run(const Window &window, const ThreadInfo &info) |
| { |
| const DataLayout data_layout = _input->info()->data_layout(); |
| if (data_layout == DataLayout::NCHW || data_layout == DataLayout::NHWC) |
| { |
| const auto *uk = get_implementation(ROIAlignSelectorData{_input->info()->data_type()}); |
| ARM_COMPUTE_ERROR_ON(uk == nullptr || uk->ukernel == nullptr); |
| |
| uk->ukernel(_input, _output, _rois, _pool_info, window, info); |
| } |
| else |
| { |
| ARM_COMPUTE_ERROR("Invalid layout"); |
| } |
| } |
| } // namespace arm_compute |