| /* |
| * 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/NEBoundingBoxTransformKernel.h" |
| |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Utils.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/boundingboxtransform/list.h" |
| |
| #include <arm_neon.h> |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| struct BoundingBoxTransformSelectorData |
| { |
| DataType dt; |
| }; |
| |
| using BoundingBoxTransformSelctorPtr = std::add_pointer<bool(const BoundingBoxTransformSelectorData &data)>::type; |
| using BoundingBoxTransformUKernelPtr = std::add_pointer<void(const ITensor *boxes, |
| ITensor *pred_boxes, |
| const ITensor *deltas, |
| BoundingBoxTransformInfo bbinfo, |
| const Window &window)>::type; |
| |
| struct BoundingBoxTransformKernel |
| { |
| const char *name; |
| const BoundingBoxTransformSelctorPtr is_selected; |
| BoundingBoxTransformUKernelPtr ukernel; |
| }; |
| |
| static const BoundingBoxTransformKernel available_kernels[] = { |
| {"fp32_neon_boundingboxtransform", |
| [](const BoundingBoxTransformSelectorData &data) { return data.dt == DataType::F32; }, |
| REGISTER_FP32_NEON(arm_compute::cpu::neon_fp32_boundingboxtransform)}, |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| {"fp16_neon_boundingboxtransform", |
| [](const BoundingBoxTransformSelectorData &data) { return data.dt == DataType::F16; }, |
| REGISTER_FP16_NEON(arm_compute::cpu::neon_fp16_boundingboxtransform)}, |
| #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| #if defined(ARM_COMPUTE_ENABLE_NEON) |
| {"qu16_neon_boundingboxtransform", |
| [](const BoundingBoxTransformSelectorData &data) { return data.dt == DataType::QASYMM16; }, |
| REGISTER_QSYMM16_NEON(arm_compute::cpu::neon_qu16_boundingboxtransform)}, |
| #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 BoundingBoxTransformKernel *get_implementation(const BoundingBoxTransformSelectorData &data) |
| { |
| for (const auto &uk : available_kernels) |
| { |
| if (uk.is_selected(data)) |
| { |
| return &uk; |
| } |
| } |
| return nullptr; |
| } |
| |
| Status validate_arguments(const ITensorInfo *boxes, |
| const ITensorInfo *pred_boxes, |
| const ITensorInfo *deltas, |
| const BoundingBoxTransformInfo &info) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(boxes, pred_boxes, deltas); |
| ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(boxes); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN(boxes, DataType::QASYMM16, DataType::F32, DataType::F16); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN(deltas, DataType::QASYMM8, DataType::F32, DataType::F16); |
| ARM_COMPUTE_RETURN_ERROR_ON(deltas->tensor_shape()[1] != boxes->tensor_shape()[1]); |
| ARM_COMPUTE_RETURN_ERROR_ON(deltas->tensor_shape()[0] % 4 != 0); |
| ARM_COMPUTE_RETURN_ERROR_ON(boxes->tensor_shape()[0] != 4); |
| ARM_COMPUTE_RETURN_ERROR_ON(deltas->num_dimensions() > 2); |
| ARM_COMPUTE_RETURN_ERROR_ON(boxes->num_dimensions() > 2); |
| ARM_COMPUTE_RETURN_ERROR_ON(info.scale() <= 0); |
| |
| if (boxes->data_type() == DataType::QASYMM16) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(deltas, 1, DataType::QASYMM8); |
| const UniformQuantizationInfo deltas_qinfo = deltas->quantization_info().uniform(); |
| ARM_COMPUTE_RETURN_ERROR_ON(deltas_qinfo.scale != 0.125f); |
| ARM_COMPUTE_RETURN_ERROR_ON(deltas_qinfo.offset != 0); |
| } |
| else |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(boxes, deltas); |
| } |
| |
| if (pred_boxes->total_size() > 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(pred_boxes->tensor_shape(), deltas->tensor_shape()); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(pred_boxes, deltas); |
| ARM_COMPUTE_RETURN_ERROR_ON(pred_boxes->num_dimensions() > 2); |
| if (pred_boxes->data_type() == DataType::QASYMM16) |
| { |
| const UniformQuantizationInfo pred_qinfo = pred_boxes->quantization_info().uniform(); |
| ARM_COMPUTE_RETURN_ERROR_ON(pred_qinfo.scale != 0.125f); |
| ARM_COMPUTE_RETURN_ERROR_ON(pred_qinfo.offset != 0); |
| } |
| } |
| |
| return Status{}; |
| } |
| } // namespace |
| |
| NEBoundingBoxTransformKernel::NEBoundingBoxTransformKernel() |
| : _boxes(nullptr), _pred_boxes(nullptr), _deltas(nullptr), _bbinfo(0, 0, 0) |
| { |
| } |
| |
| void NEBoundingBoxTransformKernel::configure(const ITensor *boxes, |
| ITensor *pred_boxes, |
| const ITensor *deltas, |
| const BoundingBoxTransformInfo &info) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(boxes, pred_boxes, deltas); |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(boxes->info(), pred_boxes->info(), deltas->info(), info)); |
| |
| // Configure kernel window |
| auto_init_if_empty(*pred_boxes->info(), deltas->info() |
| ->clone() |
| ->set_data_type(boxes->info()->data_type()) |
| .set_quantization_info(boxes->info()->quantization_info())); |
| |
| // Set instance variables |
| _boxes = boxes; |
| _pred_boxes = pred_boxes; |
| _deltas = deltas; |
| _bbinfo = info; |
| |
| const unsigned int num_boxes = boxes->info()->dimension(1); |
| Window win = calculate_max_window(*pred_boxes->info(), Steps()); |
| win.set(Window::DimX, Window::Dimension(0, 1u)); |
| win.set(Window::DimY, Window::Dimension(0, num_boxes)); |
| |
| INEKernel::configure(win); |
| } |
| |
| Status NEBoundingBoxTransformKernel::validate(const ITensorInfo *boxes, |
| const ITensorInfo *pred_boxes, |
| const ITensorInfo *deltas, |
| const BoundingBoxTransformInfo &info) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(boxes, pred_boxes, deltas, info)); |
| return Status{}; |
| } |
| |
| void NEBoundingBoxTransformKernel::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); |
| |
| const auto *uk = get_implementation(BoundingBoxTransformSelectorData{_boxes->info()->data_type()}); |
| ARM_COMPUTE_ERROR_ON(uk == nullptr || uk->ukernel == nullptr); |
| |
| uk->ukernel(_boxes, _pred_boxes, _deltas, _bbinfo, window); |
| } |
| } // namespace arm_compute |