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>
diff --git a/src/gpu/cl/operators/ClWinogradConv2d.h b/src/gpu/cl/operators/ClWinogradConv2d.h
index eb2f7a7..54ec1a1 100644
--- a/src/gpu/cl/operators/ClWinogradConv2d.h
+++ b/src/gpu/cl/operators/ClWinogradConv2d.h
@@ -25,6 +25,7 @@
#define ARM_COMPUTE_CL_WINOGRADCONV2D_H
#include "arm_compute/runtime/CL/CLTensor.h"
+
#include "src/core/CL/kernels/CLFillBorderKernel.h"
#include "src/gpu/cl/ClCompileContext.h"
#include "src/gpu/cl/IClOperator.h"
@@ -41,7 +42,7 @@
class ClWinogradInputTransformKernel;
class ClWinogradFilterTransformKernel;
class ClWinogradOutputTransformKernel;
-} // kernels
+} // namespace kernels
/** Basic function to execute Winograd-based convolution on OpenCL. This function calls the following OpenCL functions/kernels:
*
* -# @ref kernels::ClWinogradInputTransformKernel
@@ -93,20 +94,31 @@
* @param[in] enable_fast_math (Optional) Enable fast math computation. In case this flag were set, the function could dispatch the fastest implementation
* available which may introduce a drop of accuracy as well. Default is false
*/
- void configure(const ClCompileContext &compile_context, ITensorInfo *src, ITensorInfo *weights, ITensorInfo *biases, ITensorInfo *dst, const PadStrideInfo &conv_info,
- const ActivationLayerInfo &act_info = ActivationLayerInfo(), bool enable_fast_math = false);
+ void configure(const ClCompileContext &compile_context,
+ ITensorInfo *src,
+ ITensorInfo *weights,
+ ITensorInfo *biases,
+ ITensorInfo *dst,
+ const PadStrideInfo &conv_info,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo(),
+ bool enable_fast_math = false);
/** Static function to check if given info will lead to a valid configuration
*
* Similar to ClWinogradConv2d::configure()
*
* @return a status
*/
- static Status validate(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *dst, const PadStrideInfo &conv_info,
- const ActivationLayerInfo &act_info = ActivationLayerInfo(), bool enable_fast_math = false);
+ static Status validate(const ITensorInfo *src,
+ const ITensorInfo *weights,
+ const ITensorInfo *biases,
+ const ITensorInfo *dst,
+ const PadStrideInfo &conv_info,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo(),
+ bool enable_fast_math = false);
// Inherited method overridden
- void run(ITensorPack &tensors) override;
- void prepare(ITensorPack &tensors) override;
+ void run(ITensorPack &tensors) override;
+ void prepare(ITensorPack &tensors) override;
experimental::MemoryRequirements workspace() const override;
private: