COMPMID-344 Updated doxygen
Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae
diff --git a/src/core/NEON/kernels/NEGEMMMatrixAccumulateBiasesKernel.cpp b/src/core/NEON/kernels/NEGEMMMatrixAccumulateBiasesKernel.cpp
new file mode 100644
index 0000000..7a3bae5
--- /dev/null
+++ b/src/core/NEON/kernels/NEGEMMMatrixAccumulateBiasesKernel.cpp
@@ -0,0 +1,128 @@
+/*
+ * Copyright (c) 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/NEGEMMMatrixAccumulateBiasesKernel.h"
+
+#include "arm_compute/core/AccessWindowStatic.h"
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/ITensor.h"
+#include "arm_compute/core/NEON/NEFixedPoint.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/core/Window.h"
+
+#include <arm_neon.h>
+#include <cstddef>
+#include <cstdint>
+
+using namespace arm_compute;
+
+NEGEMMMatrixAccumulateBiasesKernel::NEGEMMMatrixAccumulateBiasesKernel()
+ : _accum(nullptr), _biases(nullptr)
+{
+}
+
+void NEGEMMMatrixAccumulateBiasesKernel::configure(ITensor *accum, const ITensor *biases)
+{
+ ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(accum, 1, DataType::QS8, DataType::F32);
+ ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(biases, 1, DataType::QS8, DataType::F32);
+ ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(biases, accum);
+ ARM_COMPUTE_ERROR_ON(biases->info()->num_dimensions() != 1);
+
+ _biases = biases;
+ _accum = accum;
+
+ constexpr unsigned int num_elems_processed_per_iteration = 16;
+
+ // Configure kernel window
+ Window win = calculate_max_window(*accum->info(), Steps(num_elems_processed_per_iteration));
+
+ AccessWindowStatic biases_access(biases->info(), 0, 0, biases->info()->dimension(0), biases->info()->dimension(1));
+
+ update_window_and_padding(win,
+ AccessWindowHorizontal(accum->info(), 0, num_elems_processed_per_iteration),
+ biases_access);
+
+ AccessWindowHorizontal output_access(accum->info(), 0, num_elems_processed_per_iteration);
+
+ // Set the valid region for the accum tensor
+ Coordinates coord;
+ coord.set_num_dimensions(accum->info()->num_dimensions());
+ output_access.set_valid_region(win, ValidRegion(coord, accum->info()->tensor_shape()));
+
+ INEKernel::configure(win);
+}
+
+void NEGEMMMatrixAccumulateBiasesKernel::run(const Window &window)
+{
+ ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+ ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
+
+ Window win_biases;
+ win_biases.set(Window::DimX, Window::Dimension(window.x().start(), window.x().end(), window.x().step()));
+ win_biases.set(Window::DimY, Window::Dimension(0, 1, 1));
+
+ Iterator in0_out(_accum, window);
+ Iterator in1(_biases, win_biases);
+
+ switch(_accum->info()->data_type())
+ {
+ case DataType::F32:
+ {
+ execute_window_loop(window, [&](const Coordinates & id)
+ {
+ const float32x4x4_t accum = vld4q_f32(reinterpret_cast<const float *>(in0_out.ptr()));
+ const float32x4x4_t biases = vld4q_f32(reinterpret_cast<const float *>(in1.ptr()));
+ const float32x4x4_t res =
+ {
+ {
+ vaddq_f32(accum.val[0], biases.val[0]),
+ vaddq_f32(accum.val[1], biases.val[1]),
+ vaddq_f32(accum.val[2], biases.val[2]),
+ vaddq_f32(accum.val[3], biases.val[3])
+ }
+ };
+
+ vst4q_f32(reinterpret_cast<float *>(in0_out.ptr()), res);
+ },
+ in0_out, in1);
+ break;
+ }
+ case DataType::QS8:
+ {
+ execute_window_loop(window, [&](const Coordinates & id)
+ {
+ const qint8x16_t accum = vld1q_qs8(reinterpret_cast<const qint8_t *>(in0_out.ptr()));
+ const qint8x16_t biases = vld1q_qs8(reinterpret_cast<const qint8_t *>(in1.ptr()));
+
+ vst1q_qs8(reinterpret_cast<qint8_t *>(in0_out.ptr()), vqaddq_qs8(accum, biases));
+ },
+ in0_out, in1);
+ break;
+ }
+ default:
+ ARM_COMPUTE_ERROR("Data type not supported");
+ break;
+ }
+}