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-rw-r--r--src/core/NEON/kernels/NEDerivativeKernel.cpp224
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diff --git a/src/core/NEON/kernels/NEDerivativeKernel.cpp b/src/core/NEON/kernels/NEDerivativeKernel.cpp
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+++ b/src/core/NEON/kernels/NEDerivativeKernel.cpp
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+/*
+ * Copyright (c) 2016, 2017 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/NEDerivativeKernel.h"
+
+#include "arm_compute/core/Error.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/Validate.h"
+
+#include <arm_neon.h>
+#include <cstddef>
+#include <cstdint>
+
+using namespace arm_compute;
+
+namespace arm_compute
+{
+class Coordinates;
+} // namespace arm_compute
+
+NEDerivativeKernel::NEDerivativeKernel()
+ : _func(nullptr), _input(nullptr), _output_x(nullptr), _output_y(nullptr)
+{
+}
+
+BorderSize NEDerivativeKernel::border_size() const
+{
+ return BorderSize(1);
+}
+
+void NEDerivativeKernel::configure(const ITensor *input, ITensor *output_x, ITensor *output_y, bool border_undefined)
+{
+ ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
+ ARM_COMPUTE_ERROR_ON((output_x == nullptr) && (output_y == nullptr));
+
+ const bool run_der_x = output_x != nullptr;
+ const bool run_der_y = output_y != nullptr;
+
+ if(run_der_x)
+ {
+ ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output_x, 1, DataType::S16);
+ }
+
+ if(run_der_y)
+ {
+ ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output_y, 1, DataType::S16);
+ }
+
+ _input = input;
+ _output_x = output_x;
+ _output_y = output_y;
+
+ constexpr unsigned int num_elems_processed_per_iteration = 16;
+ constexpr unsigned int num_rows_read_per_iteration = 3;
+
+ Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration), border_undefined, border_size());
+
+ AccessWindowHorizontal out_x_access(output_x == nullptr ? nullptr : output_x->info(), 0, num_elems_processed_per_iteration);
+ AccessWindowHorizontal out_y_access(output_y == nullptr ? nullptr : output_y->info(), 0, num_elems_processed_per_iteration);
+ AccessWindowHorizontal in_x_access(input->info(), -border_size().left, num_elems_processed_per_iteration);
+ AccessWindowRectangle in_y_access(input->info(), 0, -border_size().left, num_elems_processed_per_iteration, num_rows_read_per_iteration);
+ AccessWindowRectangle in_xy_access(input->info(), -border_size().left, -border_size().top, num_elems_processed_per_iteration, num_rows_read_per_iteration);
+
+ if(run_der_x && run_der_y)
+ {
+ _func = &NEDerivativeKernel::derivative_xy;
+ update_window_and_padding(win, in_xy_access, out_x_access, out_y_access);
+ out_y_access.set_valid_region(win, input->info()->valid_region(), border_undefined, border_size());
+ out_x_access.set_valid_region(win, input->info()->valid_region(), border_undefined, border_size());
+ }
+ else
+ {
+ if(run_der_x)
+ {
+ _func = &NEDerivativeKernel::derivative_x;
+ update_window_and_padding(win, in_x_access, out_x_access);
+ out_x_access.set_valid_region(win, input->info()->valid_region(), border_undefined, border_size());
+ }
+ else if(run_der_y)
+ {
+ _func = &NEDerivativeKernel::derivative_y;
+ update_window_and_padding(win, in_y_access, out_y_access);
+ out_y_access.set_valid_region(win, input->info()->valid_region(), border_undefined, border_size());
+ }
+ else
+ {
+ ARM_COMPUTE_ERROR("At least one output must be NOT NULL");
+ }
+ }
+
+ INEKernel::configure(win);
+}
+
+void NEDerivativeKernel::derivative_x(const Window &window)
+{
+ Iterator in(_input, window);
+ Iterator out_x(_output_x, window);
+
+ /* Apply 1-D centered point discrete derivative mask ([-1 0 1]) along the X direction */
+ execute_window_loop(window, [&](const Coordinates & id)
+ {
+ /* Load left and right data */
+ const uint8x16_t l_data = vld1q_u8(in.ptr() - 1);
+ const uint8x16_t r_data = vld1q_u8(in.ptr() + 1);
+
+ /* Cast to int16 and perform the subtraction between the right and left data */
+ const int16x8_t out0 = vsubq_s16(vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(r_data))),
+ vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(l_data))));
+
+ /* Cast to int16 and perform the subtraction between the right and left data */
+ const int16x8_t out1 = vsubq_s16(vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(r_data))),
+ vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(l_data))));
+
+ /* Store result of derivative along the X direction */
+ vst1q_s16(reinterpret_cast<int16_t *>(out_x.ptr()), out0);
+ vst1q_s16(reinterpret_cast<int16_t *>(out_x.ptr()) + 8, out1);
+ },
+ in, out_x);
+}
+
+void NEDerivativeKernel::derivative_y(const Window &window)
+{
+ Iterator in(_input, window);
+ Iterator out_y(_output_y, window);
+
+ const size_t stride = _input->info()->strides_in_bytes()[1];
+
+ /* Apply 1-D centered point discrete derivative mask ([-1 0 1]^T) along the Y direction */
+ execute_window_loop(window, [&](const Coordinates & id)
+ {
+ /* Load top and bottom data */
+ const uint8x16_t t_data = vld1q_u8(in.ptr() - stride);
+ const uint8x16_t b_data = vld1q_u8(in.ptr() + stride);
+
+ /* Cast to int16 and perform the subtraction between the bottom and top data */
+ const int16x8_t out0 = vsubq_s16(vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(b_data))),
+ vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(t_data))));
+
+ /* Cast to int16 and perform the subtraction between the bottom and top data */
+ const int16x8_t out1 = vsubq_s16(vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(b_data))),
+ vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(t_data))));
+
+ /* Store result of derivative along the Y direction */
+ vst1q_s16(reinterpret_cast<int16_t *>(out_y.ptr()), out0);
+ vst1q_s16(reinterpret_cast<int16_t *>(out_y.ptr()) + 8, out1);
+ },
+ in, out_y);
+}
+
+void NEDerivativeKernel::derivative_xy(const Window &window)
+{
+ Iterator in(_input, window);
+ Iterator out_x(_output_x, window);
+ Iterator out_y(_output_y, window);
+
+ const size_t stride = _input->info()->strides_in_bytes()[1];
+
+ /* Apply 1-D centered point discrete derivative masks ([-1 0 1] and [-1 0 1]^T) along the X and Y directions */
+ execute_window_loop(window, [&](const Coordinates & id)
+ {
+ /* Load top, bottom, left and right data */
+ const uint8x16_t t_data = vld1q_u8(in.ptr() - stride);
+ const uint8x16_t b_data = vld1q_u8(in.ptr() + stride);
+ const uint8x16_t l_data = vld1q_u8(in.ptr() - 1);
+ const uint8x16_t r_data = vld1q_u8(in.ptr() + 1);
+
+ /* Cast to int16 and perform the subtraction between the bottom and top data */
+ const int16x8_t out0 = vsubq_s16(vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(b_data))),
+ vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(t_data))));
+
+ /* Cast to int16 and perform the subtraction between the bottom and top data */
+ const int16x8_t out1 = vsubq_s16(vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(b_data))),
+ vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(t_data))));
+
+ /* Cast to int16 and perform the subtraction between the right and left data */
+ const int16x8_t out2 = vsubq_s16(vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(r_data))),
+ vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(l_data))));
+
+ /* Cast to int16 and perform the subtraction between the right and left data */
+ const int16x8_t out3 = vsubq_s16(vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(r_data))),
+ vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(l_data))));
+
+ /* Store result of derivative along the Y direction */
+ vst1q_s16(reinterpret_cast<int16_t *>(out_y.ptr()), out0);
+ vst1q_s16(reinterpret_cast<int16_t *>(out_y.ptr()) + 8, out1);
+
+ /* Store result of derivative along the X direction */
+ vst1q_s16(reinterpret_cast<int16_t *>(out_x.ptr()), out2);
+ vst1q_s16(reinterpret_cast<int16_t *>(out_x.ptr()) + 8, out3);
+ },
+ in, out_x, out_y);
+}
+
+void NEDerivativeKernel::run(const Window &window)
+{
+ ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+ ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
+ ARM_COMPUTE_ERROR_ON(_func == nullptr);
+
+ (this->*_func)(window);
+}
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