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-rw-r--r--src/gpu/cl/kernels/ClTransposeKernel.cpp151
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diff --git a/src/gpu/cl/kernels/ClTransposeKernel.cpp b/src/gpu/cl/kernels/ClTransposeKernel.cpp
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+++ b/src/gpu/cl/kernels/ClTransposeKernel.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/ClTransposeKernel.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/Helpers.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Utils.h"
+#include "arm_compute/core/utils/helpers/AdjustVecSize.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "arm_compute/core/Validate.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"
+
+namespace arm_compute
+{
+namespace opencl
+{
+namespace kernels
+{
+ClTransposeKernel::ClTransposeKernel()
+{
+ _type = CLKernelType::ELEMENTWISE;
+}
+
+void ClTransposeKernel::configure(const CLCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
+
+ // Output auto initialization if not yet initialized
+ const TensorShape dst_shape = misc::shape_calculator::compute_transposed_shape(*src);
+ auto_init_if_empty(*dst, src->clone()->set_tensor_shape(dst_shape));
+
+ // Explicitly set the tensor shape to preserve dimensions
+ dst->set_tensor_shape(dst_shape);
+
+ ARM_COMPUTE_ERROR_THROW_ON(ClTransposeKernel::validate(src, dst));
+ auto padding_info = get_padding_info({src, dst});
+
+ unsigned int vec_size_x;
+ unsigned int vec_size_y;
+
+ // Set the optimal tile size for each data type without register spilling
+ switch (src->element_size())
+ {
+ case 1:
+ vec_size_x = adjust_vec_size(8, src->dimension(0));
+ vec_size_y = adjust_vec_size(16, src->dimension(1));
+ break;
+ case 2:
+ vec_size_x = adjust_vec_size(8, src->dimension(0));
+ vec_size_y = adjust_vec_size(8, src->dimension(1));
+ break;
+ case 4:
+ vec_size_x = adjust_vec_size(4, src->dimension(0));
+ vec_size_y = adjust_vec_size(8, src->dimension(1));
+ break;
+ default:
+ ARM_COMPUTE_ERROR("Unsupported data type");
+ break;
+ }
+
+ const int vec_size_x_leftovers = src->dimension(0) % vec_size_x;
+ const int vec_size_y_leftovers = src->dimension(1) % vec_size_y;
+
+ CLBuildOptions build_opts;
+ build_opts.add_option("-DDATA_TYPE_IN_BYTES=" + support::cpp11::to_string(src->element_size()));
+ build_opts.add_option("-DVEC_SIZE_X=" + support::cpp11::to_string(vec_size_x));
+ build_opts.add_option("-DVEC_SIZE_LEFTOVER_X=" + support::cpp11::to_string(vec_size_x_leftovers));
+ build_opts.add_option("-DVEC_SIZE_Y=" + support::cpp11::to_string(vec_size_y));
+ build_opts.add_option("-DVEC_SIZE_LEFTOVER_Y=" + support::cpp11::to_string(vec_size_y_leftovers));
+
+ _kernel = create_kernel(compile_context, "transpose", build_opts.options());
+
+ // Configure kernel window
+ Window win = calculate_max_window(*src, Steps(vec_size_x, vec_size_y));
+ ICLKernel::configure_internal(win);
+ ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
+}
+
+Status ClTransposeKernel::validate(const ITensorInfo *src, const ITensorInfo *dst)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst);
+ ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src);
+ ARM_COMPUTE_RETURN_ERROR_ON(src->data_type() == DataType::UNKNOWN);
+
+ // Validate configured dst
+ if (dst->total_size() != 0)
+ {
+ const TensorInfo dst_info =
+ src->clone()->set_tensor_shape(misc::shape_calculator::compute_transposed_shape(*src));
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(dst, &dst_info);
+
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(src, dst);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst);
+ }
+
+ return Status{};
+}
+
+void ClTransposeKernel::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);
+
+ const 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));
+
+ // Collapse dimensions higher than width and height into the batch dimension
+ Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ);
+ Window slice = collapsed.first_slice_window_3D();
+
+ do
+ {
+ unsigned int idx = 0;
+ add_3D_tensor_argument(idx, src, slice);
+ add_3D_tensor_argument(idx, dst, slice);
+ enqueue(queue, *this, slice, lws_hint());
+ } while (collapsed.slide_window_slice_3D(slice));
+}
+} // namespace kernels
+} // namespace opencl
+} // namespace arm_compute