diff options
author | Felix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com> | 2023-09-27 17:46:17 +0100 |
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committer | felixjohnny.thomasmathibalan <felixjohnny.thomasmathibalan@arm.com> | 2023-09-28 12:08:05 +0000 |
commit | afd38f0c617d6f89b2b4532c6c44f116617e2b6f (patch) | |
tree | 03bc7d5a762099989b16a656fa8d397b490ed70e /src/cpu/kernels/CpuCopyKernel.cpp | |
parent | bdcb4c148ee2fdeaaddf4cf1e57bbb0de02bb894 (diff) | |
download | ComputeLibrary-afd38f0c617d6f89b2b4532c6c44f116617e2b6f.tar.gz |
Apply clang-format on repository
Code is formatted as per a revised clang format configuration
file(not part of this delivery). Version 14.0.6 is used.
Exclusion List:
- files with .cl extension
- files that are not strictly C/C++ (e.g. Android.bp, Sconscript ...)
And the following directories
- compute_kernel_writer/validation/
- tests/
- include/
- src/core/NEON/kernels/convolution/
- src/core/NEON/kernels/arm_gemm/
- src/core/NEON/kernels/arm_conv/
- data/
There will be a follow up for formatting of .cl files and the
files under tests/ and compute_kernel_writer/validation/.
Signed-off-by: Felix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com>
Change-Id: Ib7eb1fcf4e7537b9feaefcfc15098a804a3fde0a
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10391
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Diffstat (limited to 'src/cpu/kernels/CpuCopyKernel.cpp')
-rw-r--r-- | src/cpu/kernels/CpuCopyKernel.cpp | 61 |
1 files changed, 35 insertions, 26 deletions
diff --git a/src/cpu/kernels/CpuCopyKernel.cpp b/src/cpu/kernels/CpuCopyKernel.cpp index 3f0f3fe422..1b693d7a3a 100644 --- a/src/cpu/kernels/CpuCopyKernel.cpp +++ b/src/cpu/kernels/CpuCopyKernel.cpp @@ -27,9 +27,10 @@ #include "arm_compute/core/Helpers.h" #include "arm_compute/core/ITensor.h" #include "arm_compute/core/TensorInfo.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.h" #include "arm_compute/core/Validate.h" #include "arm_compute/core/Window.h" -#include "arm_compute/core/utils/misc/ShapeCalculator.h" + #include "src/core/helpers/AutoConfiguration.h" #include "src/core/helpers/WindowHelpers.h" @@ -48,9 +49,10 @@ Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst, const ARM_COMPUTE_RETURN_ERROR_ON(padding.size() > 4); // Validate destination if initialized - if(dst->total_size() != 0) + if (dst->total_size() != 0) { - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(misc::shape_calculator::compute_padded_shape(src->tensor_shape(), padding), dst->tensor_shape()); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS( + misc::shape_calculator::compute_padded_shape(src->tensor_shape(), padding), dst->tensor_shape()); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst); } @@ -64,7 +66,8 @@ std::pair<Status, Window> validate_and_configure_window(const ITensorInfo *src, return std::make_pair(Status{}, calculate_max_window(*dst)); } -std::pair<Status, Window> validate_and_configure_window_with_padding(const ITensorInfo *src, ITensorInfo *dst, const PaddingList &padding) +std::pair<Status, Window> +validate_and_configure_window_with_padding(const ITensorInfo *src, ITensorInfo *dst, const PaddingList &padding) { const TensorShape src_shape = src->tensor_shape(); const TensorShape padded_shape = misc::shape_calculator::compute_padded_shape(src_shape, padding); @@ -84,7 +87,7 @@ void CpuCopyKernel::configure(const ITensorInfo *src, ITensorInfo *dst, const Pa _padding = padding; std::pair<Status, Window> win_config; - if(padding.empty()) + if (padding.empty()) { win_config = validate_and_configure_window(src, dst); } @@ -97,17 +100,20 @@ void CpuCopyKernel::configure(const ITensorInfo *src, ITensorInfo *dst, const Pa ICpuKernel::configure(win_config.second); } -Status CpuCopyKernel::validate(const arm_compute::ITensorInfo *src, const arm_compute::ITensorInfo *dst, const PaddingList &padding) +Status CpuCopyKernel::validate(const arm_compute::ITensorInfo *src, + const arm_compute::ITensorInfo *dst, + const PaddingList &padding) { ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst, padding)); - if(padding.empty()) + if (padding.empty()) { ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(src->clone().get(), dst->clone().get()).first); } else { - ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window_with_padding(src->clone().get(), dst->clone().get(), padding).first); + ARM_COMPUTE_RETURN_ON_ERROR( + validate_and_configure_window_with_padding(src->clone().get(), dst->clone().get(), padding).first); } return Status{}; @@ -122,38 +128,41 @@ void CpuCopyKernel::run_op(ITensorPack &tensors, const Window &window, const Thr const auto src = tensors.get_const_tensor(TensorType::ACL_SRC); auto dst = tensors.get_tensor(TensorType::ACL_DST); - if(_padding.empty()) + if (_padding.empty()) { - Window dst_window{ window }; - dst_window.set(Window::DimX, Window::Dimension(dst_window.x().start(), dst_window.x().end(), src->info()->dimension(0))); + Window dst_window{window}; + dst_window.set(Window::DimX, + Window::Dimension(dst_window.x().start(), dst_window.x().end(), src->info()->dimension(0))); Window out_slice = dst_window.first_slice_window_1D(); do { Iterator src_it(src, out_slice); Iterator dst_it(dst, out_slice); - execute_window_loop(out_slice, [&](const Coordinates &) - { - memcpy(dst_it.ptr(), src_it.ptr(), dst->info()->dimension(0) * dst->info()->element_size()); - }, - src_it, dst_it); - } - while(dst_window.slide_window_slice_1D(out_slice)); + execute_window_loop( + out_slice, + [&](const Coordinates &) + { memcpy(dst_it.ptr(), src_it.ptr(), dst->info()->dimension(0) * dst->info()->element_size()); }, + src_it, dst_it); + } while (dst_window.slide_window_slice_1D(out_slice)); } else { - Window src_window{ window }; - src_window.set(Window::DimX, Window::Dimension(0, window.x().end() - _padding[0].first, src->info()->dimension(0))); + Window src_window{window}; + src_window.set(Window::DimX, + Window::Dimension(0, window.x().end() - _padding[0].first, src->info()->dimension(0))); Iterator src_it(src, src_window); Iterator dst_it(dst, window); const size_t row_size_in_bytes = src->info()->dimension(0) * src->info()->element_size(); - execute_window_loop(window, [&](const Coordinates &) - { - auto dst_ptr = dst_it.ptr() + _padding[0].first * dst->info()->element_size(); - std::memcpy(dst_ptr, src_it.ptr(), row_size_in_bytes); - }, - src_it, dst_it); + execute_window_loop( + window, + [&](const Coordinates &) + { + auto dst_ptr = dst_it.ptr() + _padding[0].first * dst->info()->element_size(); + std::memcpy(dst_ptr, src_it.ptr(), row_size_in_bytes); + }, + src_it, dst_it); } } |