COMPMID-1720: CL: Implement Tile

Change-Id: I2a18f0acea382960a8bc71a8f56928a5998f0dd6

1 files changed, 152 insertions, 0 deletions

diff --git a/src/core/CL/kernels/CLTileKernel.cpp b/src/core/CL/kernels/CLTileKernel.cpp
new file mode 100644
index 0000000000..7559e7ae72
--- /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