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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/gpu/cl/kernels/ClWinogradInputTransformKernel.h | |
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/gpu/cl/kernels/ClWinogradInputTransformKernel.h')
-rw-r--r-- | src/gpu/cl/kernels/ClWinogradInputTransformKernel.h | 22 |
1 files changed, 13 insertions, 9 deletions
diff --git a/src/gpu/cl/kernels/ClWinogradInputTransformKernel.h b/src/gpu/cl/kernels/ClWinogradInputTransformKernel.h index c10c528b9b..cebebea1d3 100644 --- a/src/gpu/cl/kernels/ClWinogradInputTransformKernel.h +++ b/src/gpu/cl/kernels/ClWinogradInputTransformKernel.h @@ -25,6 +25,7 @@ #define ARM_COMPUTE_CL_WINOGRAD_INPUT_TRANSFORM_KERNEL_H #include "arm_compute/core/KernelDescriptors.h" + #include "src/core/common/Macros.h" #include "src/gpu/cl/ClCompileContext.h" #include "src/gpu/cl/IClKernel.h" @@ -59,7 +60,10 @@ public: * @param[in] dst The output tensor info. The shape for this tensor can be calculated using the utility function @p compute_winograd_input_transform_shape. Data types supported: Same as @p input * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo. */ - void configure(const ClCompileContext &compile_context, ITensorInfo *src, ITensorInfo *dst, const WinogradInfo &winograd_info); + void configure(const ClCompileContext &compile_context, + ITensorInfo *src, + ITensorInfo *dst, + const WinogradInfo &winograd_info); /** Static function to check if given info will lead to a valid configuration * * Similar to ClWinogradInputTransformKernel::configure() @@ -69,19 +73,19 @@ public: static Status validate(const ITensorInfo *src, const ITensorInfo *dst, const WinogradInfo &winograd_info); // Inherited methods overridden: - void run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) override; + void run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) override; BorderSize border_size() const override; private: using WinogradKey = std::pair<std::pair<int, int>, std::pair<int, int>>; - BorderSize _border_size{ 0 }; - DataLayout _data_layout{ DataLayout::UNKNOWN }; - int _num_tiles_x{ 0 }; - int _num_tiles_y{ 0 }; - unsigned int _step_z{ 1 }; - int32_t _src_width{ 0 }; - int32_t _src_height{ 0 }; + BorderSize _border_size{0}; + DataLayout _data_layout{DataLayout::UNKNOWN}; + int _num_tiles_x{0}; + int _num_tiles_y{0}; + unsigned int _step_z{1}; + int32_t _src_width{0}; + int32_t _src_height{0}; }; } // namespace kernels } // namespace opencl |