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-rw-r--r--src/core/CL/kernels/CLUpsampleLayerKernel.cpp163
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diff --git a/src/core/CL/kernels/CLUpsampleLayerKernel.cpp b/src/core/CL/kernels/CLUpsampleLayerKernel.cpp
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+++ b/src/core/CL/kernels/CLUpsampleLayerKernel.cpp
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+/*
+ * 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/CLUpsampleLayerKernel.h"
+
+#include "arm_compute/core/AccessWindowStatic.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/Error.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/core/Window.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+
+namespace arm_compute
+{
+CLUpsampleLayerKernel::CLUpsampleLayerKernel()
+ : _input(nullptr), _output(nullptr), _info(), _num_elems_processed_per_iteration_input_x()
+{
+}
+
+Status CLUpsampleLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &info, const InterpolationPolicy upsampling_policy)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_UNUSED(upsampling_policy);
+
+ DataLayout data_layout = input->data_layout();
+ 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_MISMATCHING_DATA_TYPES(input, output);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output);
+ ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(idx_width) != info.x() * input->dimension(idx_width));
+ ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(idx_height) != info.y() * input->dimension(idx_height));
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(info.x() != 2 || info.y() != 2, "Only stride 2 is supported");
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(upsampling_policy != InterpolationPolicy::NEAREST_NEIGHBOR, "Only nearest neighbor policy supported");
+
+ return Status{};
+}
+
+void CLUpsampleLayerKernel::configure(const ICLTensor *input, ICLTensor *output, const Size2D &info, const InterpolationPolicy upsampling_policy)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_UNUSED(upsampling_policy);
+
+ _input = input;
+ _output = output;
+ _info = info;
+ _num_elems_processed_per_iteration_input_x = 1;
+
+ const DataLayout data_layout = input->info()->data_layout();
+
+ TensorShape output_shape = misc::shape_calculator::compute_upsample_shape(*input->info(), info);
+ auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type());
+ output->info()->set_data_layout(data_layout);
+
+ unsigned int num_elems_processed_per_iteration_x = 16;
+ const int output_width_x = output->info()->dimension(0);
+ const bool multi_access_x = ((output_width_x / num_elems_processed_per_iteration_x) > 0);
+
+ // Perform validation step
+ ARM_COMPUTE_ERROR_THROW_ON(CLUpsampleLayerKernel::validate(input->info(), output->info(), info, upsampling_policy));
+
+ Window win{};
+
+ switch(data_layout)
+ {
+ case DataLayout::NCHW:
+ {
+ win = calculate_max_window(*output->info());
+ win.set(Window::DimY, Window::Dimension(win.y().start(), win.y().end(), info.y()));
+ if(multi_access_x)
+ {
+ _num_elems_processed_per_iteration_input_x = num_elems_processed_per_iteration_x / info.x();
+ win.set(Window::DimX, Window::Dimension(win.x().start(), ceil_to_multiple(win.x().end(), num_elems_processed_per_iteration_x), num_elems_processed_per_iteration_x));
+ }
+ break;
+ }
+ case DataLayout::NHWC:
+ {
+ win = calculate_max_window(*output->info());
+ win.set(Window::DimY, Window::Dimension(win.y().start(), win.y().end(), info.x()));
+ win.set(Window::DimZ, Window::Dimension(win.z().start(), win.z().end(), info.y()));
+ if(multi_access_x)
+ {
+ _num_elems_processed_per_iteration_input_x = num_elems_processed_per_iteration_x;
+ win.set(Window::DimX, Window::Dimension(win.x().start(), ceil_to_multiple(win.x().end(),
+ num_elems_processed_per_iteration_x),
+ num_elems_processed_per_iteration_x));
+ }
+ break;
+ }
+ default:
+ ARM_COMPUTE_ERROR("Not implemented");
+ }
+
+ // Create kernel
+ CLBuildOptions build_opts;
+ build_opts.add_option(("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type())));
+ build_opts.add_option_if(multi_access_x, "-DVEC_SIZE_IN=" + support::cpp11::to_string(_num_elems_processed_per_iteration_input_x));
+ build_opts.add_option_if(multi_access_x, "-DVEC_SIZE_OUT=" + support::cpp11::to_string(num_elems_processed_per_iteration_x));
+ build_opts.add_option_if(multi_access_x, "-DLAST_ACCESSED_X_IN=" + support::cpp11::to_string(std::max<int>(_input->info()->dimension(0) - _num_elems_processed_per_iteration_input_x, 0)));
+ build_opts.add_option_if(multi_access_x, "-DLAST_ACCESSED_X_OUT=" + support::cpp11::to_string(std::max<int>(output_width_x - num_elems_processed_per_iteration_x, 0)));
+ _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("upsample_layer_" + lower_string(string_from_data_layout(input->info()->data_layout())), build_opts.options()));
+
+ ICLKernel::configure_internal(win);
+}
+
+void CLUpsampleLayerKernel::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 = window.collapse_if_possible(ICLKernel::window(), Window::DimZ);
+ Window slice_out = collapsed_window.first_slice_window_3D();
+ Window slice_in = collapsed_window.first_slice_window_3D();
+
+ DataLayout data_layout = _input->info()->data_layout();
+ switch(data_layout)
+ {
+ case DataLayout::NCHW:
+ slice_in.set(Window::DimX, Window::Dimension(0, _input->info()->dimension(0), _num_elems_processed_per_iteration_input_x));
+ slice_in.set(Window::DimY, Window::Dimension(0, _input->info()->dimension(1), 1));
+ break;
+ case DataLayout::NHWC:
+ slice_in.set(Window::DimY, Window::Dimension(0, _input->info()->dimension(1), 1));
+ slice_in.set(Window::DimZ, Window::Dimension(0, _input->info()->dimension(2), 1));
+ break;
+ default:
+ ARM_COMPUTE_ERROR("Not implemented");
+ }
+
+ do
+ {
+ unsigned int idx = 0;
+ add_3D_tensor_argument(idx, _input, slice_in);
+ add_3D_tensor_argument(idx, _output, slice_out);
+ enqueue(queue, *this, slice_out);
+ }
+ while(collapsed_window.slide_window_slice_3D(slice_out) && collapsed_window.slide_window_slice_3D(slice_in));
+}
+} // namespace arm_compute