COMPMID-692 Consistent names for the interfaces

Change-Id: I4b1f3f0da9ff5342c7de7083736fe91871d14e5b
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/110351
Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

1 files changed, 139 insertions, 0 deletions

diff --git a/src/core/CL/kernels/CLDepthConcatenateLayerKernel.cpp b/src/core/CL/kernels/CLDepthConcatenateLayerKernel.cpp
new file mode 100644
index 0000000000..0275d4fd83
--- /dev/null
+++ b/src/core/CL/kernels/CLDepthConcatenateLayerKernel.cpp
@@ -0,0 +1,139 @@
+/*
+ * 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/CLDepthConcatenateLayerKernel.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/IAccessWindow.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Utils.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/core/Window.h"
+
+#include "support/ToolchainSupport.h"
+
+#include <map>
+
+using namespace arm_compute;
+
+CLDepthConcatenateLayerKernel::CLDepthConcatenateLayerKernel()
+    : _input(nullptr), _output(nullptr), _top_bottom(0), _left_right(0), _depth_offset(0)
+{
+}
+
+BorderSize CLDepthConcatenateLayerKernel::border_size() const
+{
+    return BorderSize(_top_bottom, _left_right);
+}
+
+void CLDepthConcatenateLayerKernel::configure(const ICLTensor *input, unsigned int depth_offset, ICLTensor *output)
+{
+    static std::map<int, std::pair<std::string, int>> configs_map =
+    {
+        { 1, { "uchar", 16 } },
+        { 2, { "ushort", 8 } },
+        { 4, { "uint", 4 } },
+        { 8, { "ulong", 2 } },
+    };
+
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::QS16, DataType::F16, DataType::F32);
+    ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
+    ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT_POSITION(input, output);
+    ARM_COMPUTE_ERROR_ON(input->info()->dimension(2) + depth_offset > output->info()->dimension(2));
+    ARM_COMPUTE_ERROR_ON(input->info()->dimension(0) > output->info()->dimension(0));
+    ARM_COMPUTE_ERROR_ON(input->info()->dimension(1) > output->info()->dimension(1));
+    ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(3, input, output);
+    ARM_COMPUTE_ERROR_ON(configs_map.find(input->info()->element_size()) == configs_map.end());
+
+    // The gaps between the two lowest dimensions of input and output need to be divisible by 2
+    // Otherwise it is not clear how the padding should be added onto the input tensor
+    ARM_COMPUTE_ERROR_ON((output->info()->dimension(0) - input->info()->dimension(0)) % 2);
+    ARM_COMPUTE_ERROR_ON((output->info()->dimension(1) - input->info()->dimension(1)) % 2);
+
+    _input        = input;
+    _output       = output;
+    _depth_offset = depth_offset;
+
+    // Add build options
+    auto                  config = configs_map.find(static_cast<int>(input->info()->element_size()));
+    std::set<std::string> build_opts;
+    build_opts.emplace(("-DDATA_TYPE=" + config->second.first));
+    build_opts.emplace(("-DVEC_SIZE=" + support::cpp11::to_string(config->second.second)));
+
+    // Create kernel
+    _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("concatenate_depth", build_opts));
+
+    // Configure kernel window
+    _left_right = (output->info()->dimension(0) - input->info()->dimension(0)) / 2;
+    _top_bottom = (output->info()->dimension(1) - input->info()->dimension(1)) / 2;
+
+    const unsigned int num_elems_processed_per_iteration = 16 / input->info()->element_size();
+    const unsigned int num_elems_read_per_iteration      = 16 / input->info()->element_size();
+    const unsigned int num_rows_read_per_iteration       = 1;
+
+    // The window needs to be based on input as we copy all the depths of input
+    Window win = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration));
+    win.set(Window::DimZ, Window::Dimension(0, input->info()->tensor_shape().z(), 1));
+
+    AccessWindowRectangle  input_access(input->info(), -_left_right, -_top_bottom, num_elems_read_per_iteration, num_rows_read_per_iteration);
+    AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration);
+    update_window_and_padding(win, input_access, output_access);
+    output_access.set_valid_region(win, ValidRegion(Coordinates(0, 0), output->info()->tensor_shape()));
+
+    ICLKernel::configure(win);
+}
+
+void CLDepthConcatenateLayerKernel::run(const Window &window, cl::CommandQueue &queue)
+{
+    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
+
+    Window slice = window.first_slice_window_3D();
+
+    const int offset_to_first_elements_in_bytes = _depth_offset * _output->info()->strides_in_bytes()[2];
+
+    unsigned int  idx = 2 * num_arguments_per_3D_tensor(); // Skip the input and output parameters
+    const cl_int3 offsets =
+    {
+        {
+            static_cast<cl_int>(_left_right),
+            static_cast<cl_int>(_top_bottom),
+            static_cast<cl_int>(offset_to_first_elements_in_bytes),
+        }
+    };
+    _kernel.setArg<cl_int3>(idx, offsets);
+
+    do
+    {
+        unsigned int idx = 0;
+        add_3D_tensor_argument(idx, _input, slice);
+        add_3D_tensor_argument(idx, _output, slice);
+        enqueue(queue, *this, slice);
+    }
+    while(window.slide_window_slice_3D(slice));
+}