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-rw-r--r--src/gpu/cl/kernels/ClCol2ImKernel.cpp193
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diff --git a/src/gpu/cl/kernels/ClCol2ImKernel.cpp b/src/gpu/cl/kernels/ClCol2ImKernel.cpp
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+++ b/src/gpu/cl/kernels/ClCol2ImKernel.cpp
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+/*
+ * Copyright (c) 2017-2021, 2023 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 "src/gpu/cl/kernels/ClCol2ImKernel.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/CL/OpenCL.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "arm_compute/core/utils/StringUtils.h"
+
+#include "src/core/CL/CLValidate.h"
+#include "src/core/helpers/AutoConfiguration.h"
+#include "src/core/helpers/WindowHelpers.h"
+#include "support/Cast.h"
+#include "support/StringSupport.h"
+
+#include <cmath>
+
+namespace arm_compute
+{
+using namespace misc::shape_calculator;
+namespace opencl
+{
+namespace kernels
+{
+namespace
+{
+Status validate_arguments(const ITensorInfo *src,
+ const ITensorInfo *dst,
+ const Size2D &convolved_dims,
+ unsigned int num_groups)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst);
+ ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src);
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED,
+ DataType::F16, DataType::F32);
+
+ // Checks performed when output is configured
+ if (dst->total_size() != 0)
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(
+ dst->tensor_shape(), compute_col2im_shape(*src, convolved_dims, true, num_groups));
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(src, dst);
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(dst->data_layout() != DataLayout::NCHW,
+ "Col2Im output's data layout must always be NCHW");
+ }
+
+ return Status{};
+}
+
+std::pair<Status, Window>
+validate_and_configure_window(ITensorInfo *src, ITensorInfo *dst, const Size2D &convolved_dims, unsigned int num_groups)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
+ // Output auto inizialitation if not yet initialized
+ auto_init_if_empty(*dst, src->clone()
+ ->set_tensor_shape(compute_col2im_shape(*src, convolved_dims, true, num_groups))
+ .set_data_layout(DataLayout::NCHW));
+
+ constexpr unsigned int num_elems_read_per_iteration = 8;
+
+ // Configure window
+ Window win = calculate_max_window(*src, Steps(num_elems_read_per_iteration));
+
+ // Update window and padding just for the input tensor as we cannot access out-of-bounds elements in the output one
+ AccessWindowHorizontal input_access(src, 0, num_elems_read_per_iteration);
+ bool window_changed = update_window_and_padding(win, input_access);
+
+ Status err =
+ (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
+ return std::make_pair(err, win);
+}
+} // namespace
+
+ClCol2ImKernel::ClCol2ImKernel() : _convolved_dims()
+{
+ _type = CLKernelType::ELEMENTWISE;
+}
+
+void ClCol2ImKernel::configure(const CLCompileContext &compile_context,
+ ITensorInfo *src,
+ ITensorInfo *dst,
+ const Size2D &convolved_dims,
+ unsigned int num_groups)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
+
+ // Perform validation step
+ ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst, convolved_dims, num_groups));
+
+ _convolved_dims = convolved_dims;
+
+ const DataType data_type = src->data_type();
+
+ // Create kernel
+ CLBuildOptions build_opts;
+ build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(data_type));
+ build_opts.add_option("-DELEMENT_SIZE=" + support::cpp11::to_string(src->element_size()));
+ build_opts.add_option("-DWIDTH_INPUT=" + support::cpp11::to_string(src->dimension(0)));
+ build_opts.add_option("-DWIDTH_OUTPUT=" + support::cpp11::to_string(_convolved_dims.width));
+ build_opts.add_option("-DNUM_GROUPS=" + support::cpp11::to_string(num_groups));
+
+ _kernel = create_kernel(compile_context, "col2im", build_opts.options());
+
+ // Configure kernel window
+ auto win_config = validate_and_configure_window(src, dst, _convolved_dims, num_groups);
+ ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
+ IClKernel::configure_internal(win_config.second);
+
+ // Set config_id for enabling LWS tuning
+ _config_id = "col2im_";
+ _config_id += lower_string(string_from_data_type(src->data_type()));
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(num_groups);
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(src->dimension(0));
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(src->dimension(1));
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(dst->dimension(0));
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(dst->dimension(1));
+}
+
+Status ClCol2ImKernel::validate(const ITensorInfo *src,
+ const ITensorInfo *dst,
+ const Size2D &convolved_dims,
+ unsigned int num_groups)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst, convolved_dims, num_groups));
+ ARM_COMPUTE_RETURN_ON_ERROR(
+ validate_and_configure_window(src->clone().get(), dst->clone().get(), convolved_dims, num_groups).first);
+ return Status{};
+}
+
+void ClCol2ImKernel::run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue)
+{
+ ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+ ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(IClKernel::window(), window);
+
+ bool is_collapsed = false;
+ bool is_collapsed_out = false;
+
+ auto src = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC));
+ auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST));
+
+ Window out_window;
+ out_window.use_tensor_dimensions(dst->info()->tensor_shape());
+
+ Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ, &is_collapsed);
+ Window collapsed_out = out_window.collapse_if_possible(out_window, 3, &is_collapsed_out);
+
+ ARM_COMPUTE_ERROR_ON(is_collapsed != is_collapsed_out);
+
+ Window slice = collapsed.first_slice_window_3D();
+ Window slice_out = collapsed_out.first_slice_window_4D();
+ do
+ {
+ // Set inputs
+ unsigned int idx = 0;
+ add_3D_tensor_argument(idx, src, slice);
+ add_4D_tensor_argument(idx, dst, slice_out);
+ enqueue(queue, *this, slice, lws_hint());
+ } while (collapsed.slide_window_slice_3D(slice) && collapsed_out.slide_window_slice_4D(slice_out));
+}
+} // namespace kernels
+} // namespace opencl
+} // namespace arm_compute