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author | Georgios Pinitas <georgios.pinitas@arm.com> | 2021-08-20 21:39:25 +0100 |
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committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2021-08-25 16:23:15 +0000 |
commit | 7891a73ef36f4ad7b71069b3c57694f85bb79454 (patch) | |
tree | 5b08692989e28ce63de2937d8d92ea5176589dbe /src/gpu/cl/kernels/ClTransposeKernel.cpp | |
parent | a46c9c98c2b1d70acc7c6eee00e2cdc2a1e209a6 (diff) | |
download | ComputeLibrary-7891a73ef36f4ad7b71069b3c57694f85bb79454.tar.gz |
Move CPU/GPU files from Core/Runtime to the respective backend folders
Legacy structure contained two libraries core/runtime with two backends
in each.
We reduce the core/runtime libraries to a single library thus merging
the backend files
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I69545765fe7a730368105cdbd067d3135ec7a174
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6155
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/gpu/cl/kernels/ClTransposeKernel.cpp')
-rw-r--r-- | src/gpu/cl/kernels/ClTransposeKernel.cpp | 124 |
1 files changed, 124 insertions, 0 deletions
diff --git a/src/gpu/cl/kernels/ClTransposeKernel.cpp b/src/gpu/cl/kernels/ClTransposeKernel.cpp new file mode 100644 index 0000000000..bdce2a2f5c --- /dev/null +++ b/src/gpu/cl/kernels/ClTransposeKernel.cpp @@ -0,0 +1,124 @@ +/* + * Copyright (c) 2017-2021 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/Validate.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.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)); + + ARM_COMPUTE_ERROR_THROW_ON(ClTransposeKernel::validate(src, dst)); + auto padding_info = get_padding_info({ src, dst }); + + // Create kernel + const unsigned int vec_size_x = adjust_vec_size(max_cl_vector_width / src->element_size(), src->dimension(0)); + const int vec_size_x_leftovers = src->dimension(0) % vec_size_x; + const unsigned int vec_size_y = adjust_vec_size(max_cl_vector_width / src->element_size(), src->dimension(1)); + 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, cl::NDRange(2, 8)); + 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); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(src->num_dimensions() > 2, "Transpose up to 2-D src tensor is supported"); + + // 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)); + + Window slice = window.first_slice_window_2D(); + + do + { + unsigned int idx = 0; + add_2D_tensor_argument(idx, src, slice); + add_2D_tensor_argument(idx, dst, slice); + enqueue(queue, *this, slice, lws_hint()); + } + while(window.slide_window_slice_2D(slice)); +} +} // namespace kernels +} // namespace opencl +} // namespace arm_compute
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