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authorFelix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com>2023-09-27 17:46:17 +0100
committerfelixjohnny.thomasmathibalan <felixjohnny.thomasmathibalan@arm.com>2023-09-28 12:08:05 +0000
commitafd38f0c617d6f89b2b4532c6c44f116617e2b6f (patch)
tree03bc7d5a762099989b16a656fa8d397b490ed70e /src/gpu/cl/kernels/ClWinogradInputTransformKernel.h
parentbdcb4c148ee2fdeaaddf4cf1e57bbb0de02bb894 (diff)
downloadComputeLibrary-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.h22
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