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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 /arm_compute/runtime/CL/functions/CLFFTConvolutionLayer.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 'arm_compute/runtime/CL/functions/CLFFTConvolutionLayer.h')
-rw-r--r--arm_compute/runtime/CL/functions/CLFFTConvolutionLayer.h31
1 files changed, 23 insertions, 8 deletions
diff --git a/arm_compute/runtime/CL/functions/CLFFTConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLFFTConvolutionLayer.h
index f873cb0b86..ed78bbb7a7 100644
--- a/arm_compute/runtime/CL/functions/CLFFTConvolutionLayer.h
+++ b/arm_compute/runtime/CL/functions/CLFFTConvolutionLayer.h
@@ -24,8 +24,6 @@
#ifndef ARM_COMPUTE_CLFFTCONVOLUTIONLAYER_H
#define ARM_COMPUTE_CLFFTCONVOLUTIONLAYER_H
-#include "arm_compute/runtime/IFunction.h"
-
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/CL/functions/CLActivationLayer.h"
#include "arm_compute/runtime/CL/functions/CLElementwiseOperations.h"
@@ -37,6 +35,7 @@
#include "arm_compute/runtime/CL/functions/CLReshapeLayer.h"
#include "arm_compute/runtime/CL/functions/CLReverse.h"
#include "arm_compute/runtime/CL/functions/CLSlice.h"
+#include "arm_compute/runtime/IFunction.h"
namespace arm_compute
{
@@ -94,8 +93,13 @@ public:
* @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(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info,
- const ActivationLayerInfo &act_info = ActivationLayerInfo(), bool enable_fast_math = false);
+ void configure(ICLTensor *input,
+ const ICLTensor *weights,
+ const ICLTensor *biases,
+ ICLTensor *output,
+ const PadStrideInfo &conv_info,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo(),
+ bool enable_fast_math = false);
/** Set the input and output tensors.
*
* @note: This function only works with any square kernel size and unit strides for both NCHW and NHWC data layout
@@ -113,8 +117,14 @@ public:
* @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, ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info,
- const ActivationLayerInfo &act_info = ActivationLayerInfo(), bool enable_fast_math = false);
+ void configure(const CLCompileContext &compile_context,
+ ICLTensor *input,
+ const ICLTensor *weights,
+ const ICLTensor *biases,
+ ICLTensor *output,
+ 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 of @ref CLFFTConvolutionLayer
*
* @note: This function only works with any square kernel size and unit strides for both NCHW and NHWC data layout
@@ -133,8 +143,13 @@ public:
*
* @return a status
*/
- static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info,
- const ActivationLayerInfo &act_info = ActivationLayerInfo(), bool enable_fast_math = false);
+ static Status validate(const ITensorInfo *input,
+ const ITensorInfo *weights,
+ const ITensorInfo *biases,
+ const ITensorInfo *output,
+ const PadStrideInfo &conv_info,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo(),
+ bool enable_fast_math = false);
// Inherited methods overridden:
void run() override;