COMPMID-344 Updated doxygen

Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae

1 files changed, 175 insertions, 0 deletions

diff --git a/src/core/NEON/kernels/NEWeightsReshapeKernel.cpp b/src/core/NEON/kernels/NEWeightsReshapeKernel.cpp
new file mode 100644
index 0000000000..aa6be44bee
--- /dev/null
+++ b/src/core/NEON/kernels/NEWeightsReshapeKernel.cpp
@@ -0,0 +1,175 @@
+/*
+ * 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/NEWeightsReshapeKernel.h"
+
+#include "arm_compute/core/Dimensions.h"
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/ITensor.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/Validate.h"
+
+using namespace arm_compute;
+
+namespace
+{
+template <typename T>
+void weights_reshape(const ITensor *input, const ITensor *bias, ITensor *output, const Window &window)
+{
+    const unsigned int kernel_size     = input->info()->dimension(0);
+    const unsigned int kernel_depth    = input->info()->dimension(2);
+    const unsigned int input_stride_x  = input->info()->strides_in_bytes().x();
+    const unsigned int input_stride_y  = input->info()->strides_in_bytes().y();
+    const unsigned int input_stride_z  = input->info()->strides_in_bytes().z();
+    const unsigned int output_stride_y = output->info()->strides_in_bytes().y();
+
+    // Create iterators
+    Iterator in(input, window);
+    execute_window_loop(window, [&](const Coordinates & id)
+    {
+        // Get column index
+        const int kernel_idx = id[3];
+        const int kernel_idz = id[4];
+
+        // Setup pointers
+        const uint8_t *tmp_input_ptr        = in.ptr();
+        uint8_t       *tmp_output_ptr       = output->ptr_to_element(Coordinates(kernel_idx, 0, kernel_idz));
+        const uint8_t *curr_input_row_ptr   = tmp_input_ptr;
+        const uint8_t *curr_input_depth_ptr = tmp_input_ptr;
+
+        // Linearize volume
+        for(unsigned int d = 0; d < kernel_depth; ++d)
+        {
+            for(unsigned int j = 0; j < kernel_size; ++j)
+            {
+                for(unsigned int i = 0; i < kernel_size; ++i)
+                {
+                    *(reinterpret_cast<T *>(tmp_output_ptr)) = *(reinterpret_cast<const T *>(tmp_input_ptr));
+                    tmp_input_ptr += input_stride_x;
+                    tmp_output_ptr += output_stride_y;
+                }
+                curr_input_row_ptr += input_stride_y;
+                tmp_input_ptr = curr_input_row_ptr;
+            }
+            curr_input_depth_ptr += input_stride_z;
+            curr_input_row_ptr = curr_input_depth_ptr;
+            tmp_input_ptr      = curr_input_depth_ptr;
+        }
+
+        // Add bias
+        if(bias != nullptr)
+        {
+            *(reinterpret_cast<T *>(tmp_output_ptr)) = *(reinterpret_cast<const T *>(bias->ptr_to_element(Coordinates(kernel_idx, kernel_idz))));
+        }
+    },
+    in);
+}
+} // namespace
+
+NEWeightsReshapeKernel::NEWeightsReshapeKernel()
+    : _func(nullptr), _input(nullptr), _bias(nullptr), _output(nullptr)
+{
+}
+
+void NEWeightsReshapeKernel::configure(const ITensor *input, const ITensor *bias, ITensor *output)
+{
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32, DataType::QS8);
+    ARM_COMPUTE_ERROR_ON_NULLPTR(output);
+    ARM_COMPUTE_ERROR_ON(input->info()->dimension(0) != input->info()->dimension(1));
+
+    const DataType dt                   = input->info()->data_type();
+    const int      fixed_point_position = input->info()->fixed_point_position();
+
+    TensorShape output_shape{ input->info()->tensor_shape() };
+    output_shape.collapse(3);
+    const size_t tmp_dim = output_shape[0];
+    output_shape.set(0, output_shape[1]);
+    output_shape.set(1, tmp_dim + (bias != nullptr ? 1 : 0));
+
+    // Set data type and shape for output tensor if not yet configured
+    set_data_type_if_unknown(*output->info(), dt);
+    set_fixed_point_position_if_zero(*output->info(), fixed_point_position);
+
+    ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(output->info()->tensor_shape(), output_shape);
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::F32, DataType::QS8);
+    ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
+    ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input, output);
+
+    if(bias != nullptr)
+    {
+        TensorShape bias_shape{ input->info()->tensor_shape()[3] };
+
+        // Set data type and shape for bias tensor if not yet configured
+        set_data_type_if_unknown(*bias->info(), dt);
+        set_fixed_point_position_if_zero(*bias->info(), fixed_point_position);
+        set_shape_if_empty(*bias->info(), bias_shape);
+
+        ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(bias->info()->tensor_shape(), bias_shape);
+        ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(bias, 1, DataType::F32, DataType::QS8);
+        ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, bias);
+        ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input, output);
+    }
+
+    _input  = input;
+    _bias   = bias;
+    _output = output;
+
+    switch(_input->info()->data_type())
+    {
+        case DataType::F32:
+        {
+            _func = &weights_reshape<uint32_t>;
+            break;
+        }
+        case DataType::QS8:
+        {
+            _func = &weights_reshape<uint8_t>;
+            break;
+        }
+        default:
+        {
+            ARM_COMPUTE_ERROR_ON("Data type not supported");
+            break;
+        }
+    }
+
+    // Configure kernel
+    Window window = calculate_max_window(*input->info(), Steps());
+    window.set(Window::DimX, Window::Dimension(0, _input->info()->dimension(0), _input->info()->dimension(0)));
+    window.set(Window::DimY, Window::Dimension(0, _input->info()->dimension(1), _input->info()->dimension(1)));
+    window.set(Window::DimZ, Window::Dimension(0, _input->info()->dimension(2), _input->info()->dimension(2)));
+
+    // The NEConvolutionLayerWeightsReshapeKernel doesn't need padding so update_window_and_padding() can be skipped
+    output->info()->set_valid_region(ValidRegion(Coordinates(), output->info()->tensor_shape()));
+
+    INEKernel::configure(window);
+}
+
+void NEWeightsReshapeKernel::run(const Window &window)
+{
+    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
+
+    (*_func)(_input, _bias, _output, window);
+}