COMPMID-344 Updated doxygen

Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae

1 files changed, 163 insertions, 0 deletions

diff --git a/src/core/CL/kernels/CLWeightsReshapeKernel.cpp b/src/core/CL/kernels/CLWeightsReshapeKernel.cpp
new file mode 100644
index 0000000000..018f272921
--- /dev/null
+++ b/src/core/CL/kernels/CLWeightsReshapeKernel.cpp
@@ -0,0 +1,163 @@
+/*
+ * 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/CL/kernels/CLWeightsReshapeKernel.h"
+
+#include "arm_compute/core/CL/CLHelpers.h"
+#include "arm_compute/core/CL/CLKernelLibrary.h"
+#include "arm_compute/core/CL/ICLTensor.h"
+#include "arm_compute/core/CL/OpenCL.h"
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/Validate.h"
+
+using namespace arm_compute;
+
+CLWeightsReshapeKernel::CLWeightsReshapeKernel(bool is_shared)
+    : _is_shared(is_shared), _input(nullptr), _biases(nullptr), _output(nullptr)
+{
+}
+
+void CLWeightsReshapeKernel::configure(const ICLTensor *input, const ICLTensor *biases, ICLTensor *output)
+{
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32);
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::F16, DataType::F32);
+    if(_is_shared)
+    {
+        ARM_COMPUTE_ERROR_ON(input->info()->dimension(4) != (output->info()->dimension(2)));
+        ARM_COMPUTE_ERROR_ON(input->info()->num_dimensions() > 5);
+        ARM_COMPUTE_ERROR_ON(output->info()->num_dimensions() > 3);
+    }
+    else
+    {
+        ARM_COMPUTE_ERROR_ON(input->info()->num_dimensions() > 4);
+        ARM_COMPUTE_ERROR_ON(output->info()->num_dimensions() > 2);
+    }
+
+    // Check biases
+    if(biases != nullptr)
+    {
+        ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(biases, 1, DataType::F16, DataType::F32);
+    }
+
+    _biases = biases;
+    _output = output;
+    _input  = input;
+
+    // Create build options
+    std::set<std::string> build_opts;
+    build_opts.emplace(("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type())));
+    build_opts.emplace(((biases != nullptr) ? "-DHAS_BIAS" : ""));
+
+    // Create kernel
+    _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("reshape_to_columns", build_opts));
+
+    // Set static arguments
+    unsigned int idx = num_arguments_per_3D_tensor() + num_arguments_per_2D_tensor();
+    idx += (biases != nullptr) ? num_arguments_per_1D_tensor() : 0;
+    _kernel.setArg<cl_uint>(idx++, _input->info()->dimension(0));
+    _kernel.setArg<cl_uint>(idx++, _input->info()->dimension(1));
+    _kernel.setArg<cl_uint>(idx++, _input->info()->dimension(2));
+    _kernel.setArg<cl_uint>(idx++, _input->info()->dimension(3));
+
+    // Configure window
+    Window win = calculate_max_window(*input->info(), Steps());
+    // The CLWeightsReshapeKernel doesn't need padding so update_window_and_padding() can be skipped
+    output->info()->set_valid_region(ValidRegion(Coordinates(), output->info()->tensor_shape()));
+    ICLKernel::configure(win);
+}
+
+CLConvolutionLayerWeightsReshapeKernel::CLConvolutionLayerWeightsReshapeKernel()
+    : CLWeightsReshapeKernel(false)
+{
+}
+
+void CLConvolutionLayerWeightsReshapeKernel::run(const Window &window, cl::CommandQueue &queue)
+{
+    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+    ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(ICLKernel::window(), window);
+
+    Window out_window;
+    out_window.use_tensor_dimensions(_output->info());
+
+    Window in_slice  = window.first_slice_window_3D();
+    Window out_slice = out_window.first_slice_window_2D();
+
+    // Set arguments
+    unsigned idx = 0;
+    add_3D_tensor_argument(idx, _input, in_slice);
+    add_2D_tensor_argument(idx, _output, out_slice);
+    if(_biases != nullptr)
+    {
+        Window biases_slice;
+        biases_slice.set(Window::DimX, Window::Dimension(0, _biases->info()->tensor_shape().x(), 1));
+        add_1D_tensor_argument(idx, _biases, biases_slice);
+    }
+
+    // Run kernel
+    enqueue(queue, *this, in_slice);
+}
+
+CLLocallyConnectedLayerWeightsReshapeKernel::CLLocallyConnectedLayerWeightsReshapeKernel()
+    : CLWeightsReshapeKernel(true)
+{
+}
+
+void CLLocallyConnectedLayerWeightsReshapeKernel::run(const Window &window, cl::CommandQueue &queue)
+{
+    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+    ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(ICLKernel::window(), window);
+
+    Window out_window;
+    out_window.use_tensor_dimensions(_output->info());
+
+    Window in_slice  = window.first_slice_window_3D();
+    Window out_slice = out_window.first_slice_window_2D();
+
+    Window biases_window;
+    Window biases_slice;
+
+    if(_biases != nullptr)
+    {
+        biases_window.use_tensor_dimensions(_biases->info());
+        biases_slice = biases_window.first_slice_window_1D();
+    }
+
+    do
+    {
+        // Set arguments
+        unsigned idx = 0;
+        add_3D_tensor_argument(idx, _input, in_slice);
+        add_2D_tensor_argument(idx, _output, out_slice);
+        if(_biases != nullptr)
+        {
+            add_1D_tensor_argument(idx, _biases, biases_slice);
+            biases_window.slide_window_slice_1D(biases_slice);
+        }
+
+        // Run kernel
+        enqueue(queue, *this, in_slice);
+    }
+    while(window.slide_window_slice_4D(in_slice) && out_window.slide_window_slice_2D(out_slice));
+}