COMPMID-344 Updated doxygen

Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae

1 files changed, 129 insertions, 0 deletions

diff --git a/src/core/NEON/kernels/NEThresholdKernel.cpp b/src/core/NEON/kernels/NEThresholdKernel.cpp
new file mode 100644
index 0000000000..72031195d9
--- /dev/null
+++ b/src/core/NEON/kernels/NEThresholdKernel.cpp
@@ -0,0 +1,129 @@
+/*
+ * 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/NEThresholdKernel.h"
+
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/ITensor.h"
+#include "arm_compute/core/Validate.h"
+
+#include <arm_neon.h>
+
+using namespace arm_compute;
+
+namespace arm_compute
+{
+class Coordinates;
+} // namespace arm_compute
+
+NEThresholdKernel::NEThresholdKernel()
+    : _func(nullptr), _input(nullptr), _output(nullptr), _threshold(0), _false_value(0), _true_value(0), _upper(0)
+{
+}
+
+void NEThresholdKernel::configure(const ITensor *input, ITensor *output, uint8_t threshold, uint8_t false_value, uint8_t true_value, ThresholdType type, uint8_t upper)
+{
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8);
+
+    _input       = input;
+    _output      = output;
+    _threshold   = threshold;
+    _false_value = false_value;
+    _true_value  = true_value;
+    _upper       = upper;
+
+    switch(type)
+    {
+        case ThresholdType::BINARY:
+            _func = &NEThresholdKernel::run_binary;
+            break;
+        case ThresholdType::RANGE:
+            _func = &NEThresholdKernel::run_range;
+            break;
+        default:
+            ARM_COMPUTE_ERROR("Thresholding type not recognized");
+            break;
+    }
+
+    const unsigned int num_elems_processed_per_iteration = 16;
+
+    Window                 win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration));
+    AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration);
+    update_window_and_padding(win, AccessWindowHorizontal(input->info(), 0, num_elems_processed_per_iteration), output_access);
+    output_access.set_valid_region(win, input->info()->valid_region());
+
+    INEKernel::configure(win);
+}
+
+inline void NEThresholdKernel::run_binary(const Window &window)
+{
+    const uint8x16_t threshold   = vdupq_n_u8(_threshold);
+    const uint8x16_t true_value  = vdupq_n_u8(_true_value);
+    const uint8x16_t false_value = vdupq_n_u8(_false_value);
+
+    Iterator input(_input, window);
+    Iterator output(_output, window);
+
+    execute_window_loop(window, [&](const Coordinates & id)
+    {
+        const uint8x16_t data = vld1q_u8(input.ptr());
+        const uint8x16_t mask = vcgtq_u8(data, threshold);
+
+        vst1q_u8(output.ptr(), vbslq_u8(mask, true_value, false_value));
+    },
+    input, output);
+}
+
+inline void NEThresholdKernel::run_range(const Window &window)
+{
+    const uint8x16_t lower_threshold = vdupq_n_u8(_threshold);
+    const uint8x16_t upper_threshold = vdupq_n_u8(_upper);
+    const uint8x16_t true_value      = vdupq_n_u8(_true_value);
+    const uint8x16_t false_value     = vdupq_n_u8(_false_value);
+
+    Iterator input(_input, window);
+    Iterator output(_output, window);
+
+    execute_window_loop(window, [&](const Coordinates & id)
+    {
+        const uint8x16_t data = vld1q_u8(input.ptr());
+
+        uint8x16_t mask = vcleq_u8(data, upper_threshold);
+
+        mask = vandq_u8(vcgeq_u8(data, lower_threshold), mask);
+
+        vst1q_u8(output.ptr(), vbslq_u8(mask, true_value, false_value));
+    },
+    input, output);
+}
+
+void NEThresholdKernel::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);
+}