COMPMID-1757: NEON: Implement Tile
Change-Id: Ic6a1f55f14d53896725afe426bc2e2acb1546589
Reviewed-on: https://review.mlplatform.org/343
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
diff --git a/src/core/NEON/kernels/NETileKernel.cpp b/src/core/NEON/kernels/NETileKernel.cpp
new file mode 100644
index 0000000..dbeacfa
--- /dev/null
+++ b/src/core/NEON/kernels/NETileKernel.cpp
@@ -0,0 +1,117 @@
+/*
+ * 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/NEON/kernels/NETileKernel.h"
+
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/ITensor.h"
+#include "arm_compute/core/TensorInfo.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
+
+NETileKernel::NETileKernel()
+ : _input(nullptr), _output(nullptr)
+{
+}
+
+void NETileKernel::configure(const ITensor *input, ITensor *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;
+
+ // Configure window without padding
+ Window win = calculate_max_window(*output->info());
+ INEKernel::configure(win);
+}
+
+Status NETileKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const Multiples &multiples)
+{
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, multiples));
+ return Status{};
+}
+
+void NETileKernel::run(const Window &window, const ThreadInfo &info)
+{
+ ARM_COMPUTE_UNUSED(info);
+ ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+ ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
+
+ Window output_window{ window };
+ output_window.set(Window::DimX, Window::Dimension(output_window.x().start(), output_window.x().end(), _input->info()->dimension(0)));
+ Window out_slice = output_window.first_slice_window_1D();
+
+ const auto src_shape = _input->info()->tensor_shape();
+ do
+ {
+ Iterator output_it(_output, out_slice);
+
+ execute_window_loop(out_slice, [&](const Coordinates & id)
+ {
+ const size_t x = id.x();
+ const size_t y = id.y();
+ const size_t z = id.z();
+ const size_t w = id[3];
+ Coordinates input_coords{ x % src_shape[0], y % src_shape[1], z % src_shape[2], w % src_shape[3] };
+ memcpy(output_it.ptr(), _input->ptr_to_element(input_coords), _input->info()->dimension(0) * _input->info()->element_size());
+ },
+ output_it);
+ }
+ while(output_window.slide_window_slice_1D(out_slice));
+}
+} // namespace arm_compute