COMPMID-1720: CL: Implement Tile
Change-Id: I2a18f0acea382960a8bc71a8f56928a5998f0dd6
diff --git a/src/core/CL/kernels/CLTileKernel.cpp b/src/core/CL/kernels/CLTileKernel.cpp
new file mode 100644
index 0000000..7559e7a
--- /dev/null
+++ b/src/core/CL/kernels/CLTileKernel.cpp
@@ -0,0 +1,152 @@
+/*
+ * Copyright (c) 2018 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/CLTileKernel.h"
+
+#include "arm_compute/core/CL/CLHelpers.h"
+#include "arm_compute/core/CL/CLKernelLibrary.h"
+#include "arm_compute/core/CL/CLValidate.h"
+#include "arm_compute/core/CL/ICLTensor.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 "arm_compute/core/utils/misc/ShapeCalculator.h"
+
+namespace arm_compute
+{
+namespace
+{
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const Multiples &multiples)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_RETURN_ERROR_ON(multiples.size() > 4);
+ ARM_COMPUTE_RETURN_ERROR_ON(multiples.empty());
+ ARM_COMPUTE_RETURN_ERROR_ON(std::any_of(multiples.begin(), multiples.end(), [](uint32_t e)
+ {
+ return e == 0;
+ }));
+
+ // Validate output if initialized
+ if(output->total_size() != 0)
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(misc::shape_calculator::compute_tiled_shape(input->tensor_shape(), multiples), output->tensor_shape());
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
+ }
+
+ return Status{};
+}
+} // namespace
+
+CLTileKernel::CLTileKernel()
+ : _input(nullptr), _output(nullptr)
+{
+}
+
+void CLTileKernel::configure(const ICLTensor *input, ICLTensor *output, const Multiples &multiples)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+
+ // Auto initialize output
+ TensorShape tiled_shape = misc::shape_calculator::compute_tiled_shape(input->info()->tensor_shape(), multiples);
+ auto_init_if_empty(*output->info(), tiled_shape, 1, input->info()->data_type());
+
+ // Validate
+ ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), multiples));
+
+ _input = input;
+ _output = output;
+
+ const DataType data_type = input->info()->data_type();
+ const int vec_size_x = 16 / input->info()->element_size();
+ const int input_width_x = input->info()->tensor_shape().x();
+ const unsigned int offset = ceil_to_multiple(input_width_x, vec_size_x) - input_width_x;
+ const bool multi_access_x = (input_width_x / vec_size_x > 0);
+
+ // Create kernel
+ CLBuildOptions build_opts;
+ build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(data_type));
+ build_opts.add_option("-DSRC_WIDTH=" + support::cpp11::to_string(input_width_x));
+ build_opts.add_option("-DSRC_HEIGHT=" + support::cpp11::to_string(input->info()->dimension(1)));
+ build_opts.add_option("-DSRC_DEPTH=" + support::cpp11::to_string(input->info()->dimension(2)));
+ build_opts.add_option("-DSRC_BATCHES=" + support::cpp11::to_string(input->info()->dimension(3)));
+ build_opts.add_option("-DDST_DEPTH=" + support::cpp11::to_string(output->info()->dimension(2)));
+ build_opts.add_option_if(multi_access_x, "-DOFFSET=" + support::cpp11::to_string(offset));
+ build_opts.add_option_if(multi_access_x, "-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x));
+ _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("tile", build_opts.options()));
+
+ // Configure window without padding
+ Window win = calculate_max_window(*output->info());
+
+ if(multi_access_x)
+ {
+ // If multi-access is enabled, no thread should cross the tile boundaries. This means we need
+ // as many threads as those to cover a single tile times multiples[0]. Note that if threads
+ // do not cross the boundaries of the tiles, they won't cross the boundaries of the last tile, and
+ // we don't need to pad the output
+ const unsigned int size_win_x = ceil_to_multiple(input->info()->dimension(0), vec_size_x) * multiples[0];
+ win.set(Window::DimX,
+ Window::Dimension(win.x().start(), size_win_x, vec_size_x));
+ }
+
+ ICLKernel::configure_internal(win);
+
+ // Set config_id for enabling LWS tuning
+ _config_id = "tile";
+ _config_id += "_";
+ _config_id += lower_string(string_from_data_type(input->info()->data_type()));
+ for(unsigned int i = 0; i < multiples.size(); ++i)
+ {
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(input->info()->dimension(i));
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(multiples[i]);
+ }
+}
+
+Status CLTileKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const Multiples &multiples)
+{
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, multiples));
+ return Status{};
+}
+
+void CLTileKernel::run(const Window &window, cl::CommandQueue &queue)
+{
+ ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+ ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
+
+ Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ);
+ Window slice = collapsed.first_slice_window_4D();
+
+ do
+ {
+ unsigned int idx = 0;
+ add_4D_tensor_argument(idx, _input, slice);
+ add_4D_tensor_argument(idx, _output, slice);
+ enqueue(queue, *this, slice);
+ }
+ while(collapsed.slide_window_slice_4D(slice));
+}
+} // namespace arm_compute