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authorMichalis Spyrou <michalis.spyrou@arm.com>2018-09-13 12:24:03 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:54:54 +0000
commita6825a427a51da815a805d66ce65c98de282d89b (patch)
treec4a423baf566eba27c761b1402e41b21ab679f23 /src/core/NEON/kernels/NEYOLOLayerKernel.cpp
parent91a73f345be73a1cbbaa15cfaa304f00218968fb (diff)
downloadComputeLibrary-a6825a427a51da815a805d66ce65c98de282d89b.tar.gz
COMPMID-1540 Implement YOLOLayer on NEON
Change-Id: Ice28996959dc666fff5e8ae486c1ff8093db083f Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/148367 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: bsgcomp <bsgcomp@arm.com>
Diffstat (limited to 'src/core/NEON/kernels/NEYOLOLayerKernel.cpp')
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diff --git a/src/core/NEON/kernels/NEYOLOLayerKernel.cpp b/src/core/NEON/kernels/NEYOLOLayerKernel.cpp
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+/*
+ * Copyright (c) 2018 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 "arm_compute/core/NEON/kernels/NEYOLOLayerKernel.h"
+
+#include "arm_compute/core/CPP/Validate.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/ITensor.h"
+#include "arm_compute/core/NEON/NEAsymm.h"
+#include "arm_compute/core/NEON/NEFixedPoint.h"
+#include "arm_compute/core/NEON/NEMath.h"
+#include "arm_compute/core/NEON/kernels/detail/NEActivationFunctionDetail.h"
+#include "arm_compute/core/QAsymm8.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 <arm_neon.h>
+
+using namespace arm_compute;
+namespace
+{
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info, int32_t num_classes)
+{
+ ARM_COMPUTE_UNUSED(act_info);
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32);
+ ARM_COMPUTE_RETURN_ERROR_ON(input->data_layout() == DataLayout::UNKNOWN);
+ ARM_COMPUTE_RETURN_ERROR_ON(act_info.activation() != ActivationLayerInfo::ActivationFunction::LOGISTIC);
+
+ const unsigned int channel_idx = get_data_layout_dimension_index(input->data_layout(), DataLayoutDimension::CHANNEL);
+ ARM_COMPUTE_RETURN_ERROR_ON(num_classes <= 0);
+ ARM_COMPUTE_RETURN_ERROR_ON((input->dimension(channel_idx) % (num_classes + 5)) != 0);
+
+ // 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);
+ }
+
+ const bool is_nchw = input->data_layout() == DataLayout::NCHW;
+ const unsigned int num_elems_processed_per_iteration = is_nchw ? 16 / input->element_size() : 1;
+
+ Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration));
+ bool window_changed = false;
+
+ if(output != nullptr)
+ {
+ AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration);
+ AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration);
+ window_changed = update_window_and_padding(win, input_access, output_access);
+ output_access.set_valid_region(win, input->valid_region());
+ }
+ else
+ {
+ window_changed = update_window_and_padding(win, AccessWindowHorizontal(input, 0, num_elems_processed_per_iteration));
+ }
+
+ Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
+ return std::make_pair(err, win);
+}
+} // namespace
+
+NEYOLOLayerKernel::NEYOLOLayerKernel()
+ : _func(nullptr), _input(nullptr), _output(nullptr), _act_info(), _num_classes()
+{
+}
+
+void NEYOLOLayerKernel::yolo_layer_fp32_nchw(const Window &window)
+{
+ Iterator input(_input, window);
+ Iterator output(_output, window);
+
+ execute_window_loop(window, [&](const Coordinates & id)
+ {
+ float32x4_t res = vld1q_f32(reinterpret_cast<float *>(input.ptr()));
+
+ const int box_ch_id = id.z() % (_num_classes + 5);
+ const bool activate = box_ch_id != 2 && box_ch_id != 3;
+
+ // Perform activation
+ if(activate)
+ {
+ auto activation = ::detail::logistic<float, 4>(_act_info);
+ activation(res);
+ }
+
+ // Store results
+ vst1q_f32(reinterpret_cast<float *>(output.ptr()), res);
+ },
+ input, output);
+}
+
+void NEYOLOLayerKernel::yolo_layer_fp32_nhwc(const Window &window)
+{
+ Iterator input(_input, window);
+ Iterator output(_output, window);
+
+ execute_window_loop(window, [&](const Coordinates & id)
+ {
+ float res = *(reinterpret_cast<float *>(input.ptr()));
+
+ const int box_ch_id = id.x() % (_num_classes + 5);
+ const bool activate = box_ch_id != 2 && box_ch_id != 3;
+
+ // Perform activation
+ if(activate)
+ {
+ res = 1.f / (1.f + std::exp(-res));
+ }
+
+ // Store result
+ *(reinterpret_cast<float *>(output.ptr())) = res;
+ },
+ input, output);
+}
+
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+void NEYOLOLayerKernel::yolo_layer_fp16_nchw(const Window &window)
+{
+ Iterator input(_input, window);
+ Iterator output(_output, window);
+
+ execute_window_loop(window, [&](const Coordinates & id)
+ {
+ float16x8_t res = vld1q_f16(reinterpret_cast<float16_t *>(input.ptr()));
+
+ const int box_ch_id = id.z() % (_num_classes + 5);
+ const bool activate = box_ch_id != 2 && box_ch_id != 3;
+
+ // Perform activation
+ if(activate)
+ {
+ auto activation = ::detail::logistic<float16_t, 8>(_act_info);
+ activation(res);
+ }
+
+ // Store results
+ vst1q_f16(reinterpret_cast<float16_t *>(output.ptr()), res);
+ },
+ input, output);
+}
+
+void NEYOLOLayerKernel::yolo_layer_fp16_nhwc(const Window &window)
+{
+ Iterator input(_input, window);
+ Iterator output(_output, window);
+
+ execute_window_loop(window, [&](const Coordinates & id)
+ {
+ float16_t res = *(reinterpret_cast<float16_t *>(input.ptr()));
+
+ const int box_ch_id = id.x() % (_num_classes + 5);
+ const bool activate = box_ch_id != 2 && box_ch_id != 3;
+
+ // Perform activation
+ if(activate)
+ {
+ res = 1.f / (1.f + std::exp(-res));
+ }
+
+ // Store result
+ *(reinterpret_cast<float16_t *>(output.ptr())) = res;
+ },
+ input, output);
+}
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
+
+void NEYOLOLayerKernel::configure(ITensor *input, ITensor *output, const ActivationLayerInfo &act_info, int32_t num_classes)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(input);
+ ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), (output != nullptr) ? output->info() : nullptr, act_info, num_classes));
+
+ _input = input;
+ _output = output;
+ _act_info = act_info;
+ _num_classes = num_classes;
+
+ switch(_input->info()->data_type())
+ {
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+ case DataType::F16:
+ _func = (_input->info()->data_layout() == DataLayout::NHWC) ? &NEYOLOLayerKernel::yolo_layer_fp16_nhwc : &NEYOLOLayerKernel::yolo_layer_fp16_nchw;
+ break;
+#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+ case DataType::F32:
+ _func = (_input->info()->data_layout() == DataLayout::NHWC) ? &NEYOLOLayerKernel::yolo_layer_fp32_nhwc : &NEYOLOLayerKernel::yolo_layer_fp32_nchw;
+ break;
+ default:
+ ARM_COMPUTE_ERROR("Element size not supported");
+ break;
+ }
+
+ // 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 NEYOLOLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info, int32_t num_classes)
+{
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, act_info, num_classes));
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), (output == nullptr) ? nullptr : output->clone().get()).first);
+
+ return Status{};
+}
+
+void NEYOLOLayerKernel::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);
+ ARM_COMPUTE_ERROR_ON(_func == nullptr);
+
+ (this->*_func)(window);
+}