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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/NEON/functions/NEDepthwiseConvolutionLayer.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/NEON/functions/NEDepthwiseConvolutionLayer.h')
-rw-r--r--arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h67
1 files changed, 53 insertions, 14 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h
index 6f2ec8cddb..6ad5aa7bfa 100644
--- a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h
@@ -28,6 +28,7 @@
#include "arm_compute/runtime/MemoryGroup.h"
#include "arm_compute/runtime/NEON/functions/NEActivationLayer.h"
#include "arm_compute/runtime/NEON/functions/NEPermute.h"
+
#include <memory>
namespace arm_compute
@@ -80,8 +81,14 @@ public:
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
* @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1).
*/
- void configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info,
- unsigned int depth_multiplier = 1, const ActivationLayerInfo &act_info = ActivationLayerInfo(), const Size2D &dilation = Size2D(1U, 1U));
+ void configure(ITensor *input,
+ const ITensor *weights,
+ const ITensor *biases,
+ ITensor *output,
+ const PadStrideInfo &conv_info,
+ unsigned int depth_multiplier = 1,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo(),
+ const Size2D &dilation = Size2D(1U, 1U));
/** Static function to check if given info will lead to a valid configuration of @ref NEDepthwiseConvolutionLayer
*
@@ -98,8 +105,14 @@ public:
*
* @return a status
*/
- static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info,
- unsigned int depth_multiplier = 1, const ActivationLayerInfo &act_info = ActivationLayerInfo(), const Size2D &dilation = Size2D(1U, 1U));
+ static Status validate(const ITensorInfo *input,
+ const ITensorInfo *weights,
+ const ITensorInfo *biases,
+ const ITensorInfo *output,
+ const PadStrideInfo &conv_info,
+ unsigned int depth_multiplier = 1,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo(),
+ const Size2D &dilation = Size2D(1U, 1U));
// Inherited methods overriden:
void run() override;
@@ -127,9 +140,11 @@ private:
/** Default move constructor */
NEDepthwiseConvolutionLayerOptimizedInternal(NEDepthwiseConvolutionLayerOptimizedInternal &&) = default;
/** Prevent instances of this class from being copied (As this class contains pointers) */
- NEDepthwiseConvolutionLayerOptimizedInternal &operator=(const NEDepthwiseConvolutionLayerOptimizedInternal &) = delete;
+ NEDepthwiseConvolutionLayerOptimizedInternal &
+ operator=(const NEDepthwiseConvolutionLayerOptimizedInternal &) = delete;
/** Default move assignment operator */
- NEDepthwiseConvolutionLayerOptimizedInternal &operator=(NEDepthwiseConvolutionLayerOptimizedInternal &&) = default;
+ NEDepthwiseConvolutionLayerOptimizedInternal &
+ operator=(NEDepthwiseConvolutionLayerOptimizedInternal &&) = default;
/** Default destructor */
~NEDepthwiseConvolutionLayerOptimizedInternal() = default;
/** Initialize the function's source, destination, kernels and border_size.
@@ -144,8 +159,14 @@ private:
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
* @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1).
*/
- void configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info,
- unsigned int depth_multiplier = 1, const ActivationLayerInfo &act_info = ActivationLayerInfo(), const Size2D &dilation = Size2D(1U, 1U));
+ void configure(ITensor *input,
+ const ITensor *weights,
+ const ITensor *biases,
+ ITensor *output,
+ const PadStrideInfo &conv_info,
+ unsigned int depth_multiplier = 1,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo(),
+ const Size2D &dilation = Size2D(1U, 1U));
/** Static function to check if given info will lead to a valid configuration of @ref NEDepthwiseConvolutionLayer3x3
*
@@ -161,8 +182,14 @@ private:
*
* @return a status
*/
- static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info,
- unsigned int depth_multiplier = 1, const ActivationLayerInfo &act_info = ActivationLayerInfo(), const Size2D &dilation = Size2D(1U, 1U));
+ static Status validate(const ITensorInfo *input,
+ const ITensorInfo *weights,
+ const ITensorInfo *biases,
+ const ITensorInfo *output,
+ const PadStrideInfo &conv_info,
+ unsigned int depth_multiplier = 1,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo(),
+ const Size2D &dilation = Size2D(1U, 1U));
// Inherited methods overriden:
void run() override;
@@ -207,8 +234,14 @@ private:
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
* @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1).
*/
- void configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info,
- unsigned int depth_multiplier = 1, const ActivationLayerInfo &act_info = ActivationLayerInfo(), const Size2D &dilation = Size2D(1U, 1U));
+ void configure(ITensor *input,
+ const ITensor *weights,
+ const ITensor *biases,
+ ITensor *output,
+ const PadStrideInfo &conv_info,
+ unsigned int depth_multiplier = 1,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo(),
+ const Size2D &dilation = Size2D(1U, 1U));
/** Static function to check if given info will lead to a valid configuration of @ref NEDepthwiseConvolutionLayerGeneric
*
@@ -225,8 +258,14 @@ private:
*
* @return a status
*/
- static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info,
- unsigned int depth_multiplier = 1, const ActivationLayerInfo &act_info = ActivationLayerInfo(), const Size2D &dilation = Size2D(1U, 1U));
+ static Status validate(const ITensorInfo *input,
+ const ITensorInfo *weights,
+ const ITensorInfo *biases,
+ const ITensorInfo *output,
+ const PadStrideInfo &conv_info,
+ unsigned int depth_multiplier = 1,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo(),
+ const Size2D &dilation = Size2D(1U, 1U));
// Inherited methods overriden:
void run() override;