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-rw-r--r--src/cpu/kernels/boundingboxtransform/generic/neon/fp16.cpp42
-rw-r--r--src/cpu/kernels/boundingboxtransform/generic/neon/fp32.cpp38
-rw-r--r--src/cpu/kernels/boundingboxtransform/generic/neon/impl.cpp102
-rw-r--r--src/cpu/kernels/boundingboxtransform/generic/neon/impl.h102
-rw-r--r--src/cpu/kernels/boundingboxtransform/generic/neon/qsymm16.cpp38
5 files changed, 322 insertions, 0 deletions
diff --git a/src/cpu/kernels/boundingboxtransform/generic/neon/fp16.cpp b/src/cpu/kernels/boundingboxtransform/generic/neon/fp16.cpp
new file mode 100644
index 0000000000..dbdec5fb50
--- /dev/null
+++ b/src/cpu/kernels/boundingboxtransform/generic/neon/fp16.cpp
@@ -0,0 +1,42 @@
+/*
+ * Copyright (c) 2022-2023 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.
+ */
+#if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS)
+#include "src/cpu/CpuTypes.h"
+#include "src/cpu/kernels/boundingboxtransform/generic/neon/impl.h"
+
+namespace arm_compute
+{
+namespace cpu
+{
+void neon_fp16_boundingboxtransform(const ITensor *boxes,
+ ITensor *pred_boxes,
+ const ITensor *deltas,
+ BoundingBoxTransformInfo bbinfo,
+ const Window &window)
+{
+ return bounding_box_transform<float16_t>(boxes, pred_boxes, deltas, bbinfo, window);
+}
+} // namespace cpu
+} // namespace arm_compute
+#endif /* defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) */
diff --git a/src/cpu/kernels/boundingboxtransform/generic/neon/fp32.cpp b/src/cpu/kernels/boundingboxtransform/generic/neon/fp32.cpp
new file mode 100644
index 0000000000..0224b3406a
--- /dev/null
+++ b/src/cpu/kernels/boundingboxtransform/generic/neon/fp32.cpp
@@ -0,0 +1,38 @@
+/*
+ * Copyright (c) 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/cpu/kernels/boundingboxtransform/generic/neon/impl.h"
+namespace arm_compute
+{
+namespace cpu
+{
+void neon_fp32_boundingboxtransform(const ITensor *boxes,
+ ITensor *pred_boxes,
+ const ITensor *deltas,
+ BoundingBoxTransformInfo bbinfo,
+ const Window &window)
+{
+ return bounding_box_transform<float>(boxes, pred_boxes, deltas, bbinfo, window);
+}
+} // namespace cpu
+} // namespace arm_compute
diff --git a/src/cpu/kernels/boundingboxtransform/generic/neon/impl.cpp b/src/cpu/kernels/boundingboxtransform/generic/neon/impl.cpp
new file mode 100644
index 0000000000..5a2939b587
--- /dev/null
+++ b/src/cpu/kernels/boundingboxtransform/generic/neon/impl.cpp
@@ -0,0 +1,102 @@
+/*
+ * Copyright (c) 2019-2023 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/cpu/kernels/boundingboxtransform/generic/neon/impl.h"
+
+#include "src/cpu/CpuTypes.h"
+
+namespace arm_compute
+{
+namespace cpu
+{
+void bounding_box_transform_qsymm16(const ITensor *boxes,
+ ITensor *pred_boxes,
+ const ITensor *deltas,
+ BoundingBoxTransformInfo bbinfo,
+ const Window &window)
+
+{
+ const size_t num_classes = deltas->info()->tensor_shape()[0] >> 2;
+ const size_t deltas_width = deltas->info()->tensor_shape()[0];
+ const int img_h = std::floor(bbinfo.img_height() / bbinfo.scale() + 0.5f);
+ const int img_w = std::floor(bbinfo.img_width() / bbinfo.scale() + 0.5f);
+
+ const auto scale_after = (bbinfo.apply_scale() ? bbinfo.scale() : 1.f);
+ const auto scale_before = bbinfo.scale();
+ const auto offset = (bbinfo.correct_transform_coords() ? 1.f : 0.f);
+
+ auto pred_ptr =
+ reinterpret_cast<uint16_t *>(pred_boxes->buffer() + pred_boxes->info()->offset_first_element_in_bytes());
+ auto delta_ptr = reinterpret_cast<uint8_t *>(deltas->buffer() + deltas->info()->offset_first_element_in_bytes());
+
+ const auto boxes_qinfo = boxes->info()->quantization_info().uniform();
+ const auto deltas_qinfo = deltas->info()->quantization_info().uniform();
+ const auto pred_qinfo = pred_boxes->info()->quantization_info().uniform();
+
+ Iterator box_it(boxes, window);
+ execute_window_loop(
+ window,
+ [&](const Coordinates &id)
+ {
+ const auto ptr = reinterpret_cast<uint16_t *>(box_it.ptr());
+ const auto b0 = dequantize_qasymm16(*ptr, boxes_qinfo);
+ const auto b1 = dequantize_qasymm16(*(ptr + 1), boxes_qinfo);
+ const auto b2 = dequantize_qasymm16(*(ptr + 2), boxes_qinfo);
+ const auto b3 = dequantize_qasymm16(*(ptr + 3), boxes_qinfo);
+ const float width = (b2 / scale_before) - (b0 / scale_before) + 1.f;
+ const float height = (b3 / scale_before) - (b1 / scale_before) + 1.f;
+ const float ctr_x = (b0 / scale_before) + 0.5f * width;
+ const float ctr_y = (b1 / scale_before) + 0.5f * height;
+ for (size_t j = 0; j < num_classes; ++j)
+ {
+ // Extract deltas
+ const size_t delta_id = id.y() * deltas_width + 4u * j;
+ const float dx = dequantize_qasymm8(delta_ptr[delta_id], deltas_qinfo) / bbinfo.weights()[0];
+ const float dy = dequantize_qasymm8(delta_ptr[delta_id + 1], deltas_qinfo) / bbinfo.weights()[1];
+ float dw = dequantize_qasymm8(delta_ptr[delta_id + 2], deltas_qinfo) / bbinfo.weights()[2];
+ float dh = dequantize_qasymm8(delta_ptr[delta_id + 3], deltas_qinfo) / bbinfo.weights()[3];
+ // Clip dw and dh
+ dw = std::min(dw, bbinfo.bbox_xform_clip());
+ dh = std::min(dh, bbinfo.bbox_xform_clip());
+ // Determine the predictions
+ const float pred_ctr_x = dx * width + ctr_x;
+ const float pred_ctr_y = dy * height + ctr_y;
+ const float pred_w = std::exp(dw) * width;
+ const float pred_h = std::exp(dh) * height;
+ // Store the prediction into the output tensor
+ pred_ptr[delta_id] = quantize_qasymm16(
+ scale_after * utility::clamp<float>(pred_ctr_x - 0.5f * pred_w, 0.f, img_w - 1.f), pred_qinfo);
+ pred_ptr[delta_id + 1] = quantize_qasymm16(
+ scale_after * utility::clamp<float>(pred_ctr_y - 0.5f * pred_h, 0.f, img_h - 1.f), pred_qinfo);
+ pred_ptr[delta_id + 2] = quantize_qasymm16(
+ scale_after * utility::clamp<float>(pred_ctr_x + 0.5f * pred_w - offset, 0.f, img_w - 1.f),
+ pred_qinfo);
+ pred_ptr[delta_id + 3] = quantize_qasymm16(
+ scale_after * utility::clamp<float>(pred_ctr_y + 0.5f * pred_h - offset, 0.f, img_h - 1.f),
+ pred_qinfo);
+ }
+ },
+ box_it);
+}
+} // namespace cpu
+} // namespace arm_compute
diff --git a/src/cpu/kernels/boundingboxtransform/generic/neon/impl.h b/src/cpu/kernels/boundingboxtransform/generic/neon/impl.h
new file mode 100644
index 0000000000..d8013c6227
--- /dev/null
+++ b/src/cpu/kernels/boundingboxtransform/generic/neon/impl.h
@@ -0,0 +1,102 @@
+/*
+ * Copyright (c) 2022-2023 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.
+ */
+#ifndef SRC_CORE_SVE_KERNELS_BOUNDINGBOXTRANFORM_IMPL_H
+#define SRC_CORE_SVE_KERNELS_BOUNDINGBOXTRANFORM_IMPL_H
+#include "arm_compute/core/Helpers.h"
+
+namespace arm_compute
+{
+namespace cpu
+{
+template <typename T>
+void bounding_box_transform(const ITensor *boxes,
+ ITensor *pred_boxes,
+ const ITensor *deltas,
+ BoundingBoxTransformInfo bbinfo,
+ const Window &window)
+{
+ const size_t num_classes = deltas->info()->tensor_shape()[0] >> 2;
+ const size_t deltas_width = deltas->info()->tensor_shape()[0];
+ const int img_h = std::floor(bbinfo.img_height() / bbinfo.scale() + 0.5f);
+ const int img_w = std::floor(bbinfo.img_width() / bbinfo.scale() + 0.5f);
+
+ const auto scale_after = (bbinfo.apply_scale() ? T(bbinfo.scale()) : T(1));
+ const auto scale_before = T(bbinfo.scale());
+ ARM_COMPUTE_ERROR_ON(scale_before <= 0);
+ const auto offset = (bbinfo.correct_transform_coords() ? T(1.f) : T(0.f));
+
+ auto pred_ptr = reinterpret_cast<T *>(pred_boxes->buffer() + pred_boxes->info()->offset_first_element_in_bytes());
+ auto delta_ptr = reinterpret_cast<T *>(deltas->buffer() + deltas->info()->offset_first_element_in_bytes());
+
+ Iterator box_it(boxes, window);
+ execute_window_loop(
+ window,
+ [&](const Coordinates &id)
+ {
+ const auto ptr = reinterpret_cast<T *>(box_it.ptr());
+ const auto b0 = *ptr;
+ const auto b1 = *(ptr + 1);
+ const auto b2 = *(ptr + 2);
+ const auto b3 = *(ptr + 3);
+ const T width = (b2 / scale_before) - (b0 / scale_before) + T(1.f);
+ const T height = (b3 / scale_before) - (b1 / scale_before) + T(1.f);
+ const T ctr_x = (b0 / scale_before) + T(0.5f) * width;
+ const T ctr_y = (b1 / scale_before) + T(0.5f) * height;
+ for (size_t j = 0; j < num_classes; ++j)
+ {
+ // Extract deltas
+ const size_t delta_id = id.y() * deltas_width + 4u * j;
+ const T dx = delta_ptr[delta_id] / T(bbinfo.weights()[0]);
+ const T dy = delta_ptr[delta_id + 1] / T(bbinfo.weights()[1]);
+ T dw = delta_ptr[delta_id + 2] / T(bbinfo.weights()[2]);
+ T dh = delta_ptr[delta_id + 3] / T(bbinfo.weights()[3]);
+ // Clip dw and dh
+ dw = std::min(dw, T(bbinfo.bbox_xform_clip()));
+ dh = std::min(dh, T(bbinfo.bbox_xform_clip()));
+ // Determine the predictions
+ const T pred_ctr_x = dx * width + ctr_x;
+ const T pred_ctr_y = dy * height + ctr_y;
+ const T pred_w = std::exp(dw) * width;
+ const T pred_h = std::exp(dh) * height;
+ // Store the prediction into the output tensor
+ pred_ptr[delta_id] = scale_after * utility::clamp<T>(pred_ctr_x - T(0.5f) * pred_w, T(0), T(img_w - 1));
+ pred_ptr[delta_id + 1] =
+ scale_after * utility::clamp<T>(pred_ctr_y - T(0.5f) * pred_h, T(0), T(img_h - 1));
+ pred_ptr[delta_id + 2] =
+ scale_after * utility::clamp<T>(pred_ctr_x + T(0.5f) * pred_w - offset, T(0), T(img_w - 1));
+ pred_ptr[delta_id + 3] =
+ scale_after * utility::clamp<T>(pred_ctr_y + T(0.5f) * pred_h - offset, T(0), T(img_h - 1));
+ }
+ },
+ box_it);
+}
+
+void bounding_box_transform_qsymm16(const ITensor *boxes,
+ ITensor *pred_boxes,
+ const ITensor *deltas,
+ BoundingBoxTransformInfo bbinfo,
+ const Window &window);
+} // namespace cpu
+} // namespace arm_compute
+#endif //define SRC_CORE_SVE_KERNELS_BOUNDINGBOXTRANFORM_IMPL_H
diff --git a/src/cpu/kernels/boundingboxtransform/generic/neon/qsymm16.cpp b/src/cpu/kernels/boundingboxtransform/generic/neon/qsymm16.cpp
new file mode 100644
index 0000000000..64ef815195
--- /dev/null
+++ b/src/cpu/kernels/boundingboxtransform/generic/neon/qsymm16.cpp
@@ -0,0 +1,38 @@
+/*
+ * Copyright (c) 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/cpu/kernels/boundingboxtransform/generic/neon/impl.h"
+namespace arm_compute
+{
+namespace cpu
+{
+void neon_qu16_boundingboxtransform(const ITensor *boxes,
+ ITensor *pred_boxes,
+ const ITensor *deltas,
+ BoundingBoxTransformInfo bbinfo,
+ const Window &window)
+{
+ return bounding_box_transform_qsymm16(boxes, pred_boxes, deltas, bbinfo, window);
+}
+} // namespace cpu
+} // namespace arm_compute