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authorMichalis Spyrou <michalis.spyrou@arm.com>2019-05-21 13:30:10 +0100
committerMichalis Spyrou <michalis.spyrou@arm.com>2019-05-24 11:55:44 +0000
commit22f917cfd2282052c447068b188eee0c59f737fd (patch)
tree649e16f34ad59cd6d83eb65412003a24d788dea8 /src/core/NEON/kernels/NEDepthToSpaceLayerKernel.cpp
parent1e6e1b899c1a88d3466cdc6fd097ccf32ff767e3 (diff)
downloadComputeLibrary-22f917cfd2282052c447068b188eee0c59f737fd.tar.gz
COMPMID-2240 Implement DEPTH_TO_SPACE for NEON
Change-Id: I705aa0f804093c3628c691e46cca475f2819dc65 Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com> Reviewed-on: https://review.mlplatform.org/c/1198 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Giuseppe Rossini <giuseppe.rossini@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/core/NEON/kernels/NEDepthToSpaceLayerKernel.cpp')
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diff --git a/src/core/NEON/kernels/NEDepthToSpaceLayerKernel.cpp b/src/core/NEON/kernels/NEDepthToSpaceLayerKernel.cpp
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+++ b/src/core/NEON/kernels/NEDepthToSpaceLayerKernel.cpp
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+/*
+ * Copyright (c) 2019 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/NEDepthToSpaceLayerKernel.h"
+
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/ITensor.h"
+#include "arm_compute/core/NEON/wrapper/wrapper.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include <arm_neon.h>
+#include <cstdint>
+
+using namespace arm_compute::misc::shape_calculator;
+
+namespace arm_compute
+{
+namespace
+{
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, int32_t block_shape)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() > 4);
+ ARM_COMPUTE_RETURN_ERROR_ON(block_shape < 2);
+
+ const DataLayout data_layout = input->data_layout();
+ const int idx_channel = get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL);
+ ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[idx_channel] % (block_shape * block_shape) != 0);
+ // Validate output if initialized
+ if(output->total_size() != 0)
+ {
+ const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
+ const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
+ ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape()[idx_width] != (block_shape * input->tensor_shape()[idx_width]));
+ ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape()[idx_height] != (block_shape * input->tensor_shape()[idx_height]));
+ ARM_COMPUTE_RETURN_ERROR_ON(output->num_dimensions() > 4);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
+ }
+
+ return Status{};
+}
+} // namespace
+
+NEDepthToSpaceLayerKernel::NEDepthToSpaceLayerKernel()
+ : _input(nullptr), _output(nullptr), _block_shape()
+{
+}
+
+void NEDepthToSpaceLayerKernel::configure(const ITensor *input, ITensor *output, int32_t block_shape)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+ TensorShape output_shape = compute_depth_to_space_shape(input->info(), block_shape);
+ // Output auto inizialitation if not yet initialized
+ auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape));
+
+ // Perform validation step
+ ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), block_shape));
+
+ _input = input;
+ _output = output;
+ _block_shape = block_shape;
+
+ // Configure kernel window
+ Window win = calculate_max_window(*input->info(), Steps());
+ ICPPKernel::configure(win);
+}
+
+Status NEDepthToSpaceLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, int32_t block_shape)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, block_shape));
+ return Status{};
+}
+
+void NEDepthToSpaceLayerKernel::run(const Window &window, const ThreadInfo &info)
+{
+ ARM_COMPUTE_UNUSED(info);
+ ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+ ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICPPKernel::window(), window);
+
+ const int idx_channel = get_data_layout_dimension_index(_input->info()->data_layout(), DataLayoutDimension::CHANNEL);
+ const int depth_size = _input->info()->dimension(idx_channel);
+ const int r = (depth_size / (_block_shape * _block_shape));
+ const int element_size = _input->info()->element_size();
+
+ Window slice_out = window.first_slice_window_3D();
+
+ // The slice_out slice does not move
+ slice_out.set(Window::DimX, Window::Dimension(0, 0, 0));
+ slice_out.set(Window::DimY, Window::Dimension(0, 0, 0));
+ slice_out.set(Window::DimZ, Window::Dimension(0, 0, 0));
+
+ // Main loop for NCHW and NHWC
+ if(_input->info()->data_layout() == DataLayout::NCHW)
+ {
+ Window slice_in = window.first_slice_window_2D();
+ do
+ {
+ Iterator in(_input, slice_in);
+ execute_window_loop(slice_in, [&](const Coordinates & id)
+ {
+ const int x = id.x();
+ const int y = id.y();
+
+ const int z = id.z() % r;
+ const int out_x = x * _block_shape + (id.z() / r) % _block_shape;
+ const int out_y = y * _block_shape + (id.z() / r) / _block_shape;
+ Coordinates output_coords{ out_x, out_y, z, id[3] };
+ memcpy(_output->ptr_to_element(output_coords), in.ptr(), element_size);
+ },
+ in);
+ }
+ while(window.slide_window_slice_2D(slice_in));
+ }
+ else
+ {
+ Window slice_in = window.first_slice_window_3D();
+ do
+ {
+ Iterator in(_input, slice_in);
+ execute_window_loop(slice_in, [&](const Coordinates & id)
+ {
+ const int x = id.y();
+ const int y = id.z();
+
+ const int z = id.x() % r;
+ const int out_x = x * _block_shape + (id.x() / r) % _block_shape;
+ const int out_y = y * _block_shape + (id.x() / r) / _block_shape;
+ Coordinates output_coords{ z, out_x, out_y, id[3] };
+ memcpy(_output->ptr_to_element(output_coords), in.ptr(), element_size);
+ },
+ in);
+ }
+ while(window.slide_window_slice_3D(slice_in));
+ }
+}
+} // namespace arm_compute