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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/function_info/FullyConnectedLayerInfo.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/function_info/FullyConnectedLayerInfo.h')
-rw-r--r--arm_compute/function_info/FullyConnectedLayerInfo.h12
1 files changed, 6 insertions, 6 deletions
diff --git a/arm_compute/function_info/FullyConnectedLayerInfo.h b/arm_compute/function_info/FullyConnectedLayerInfo.h
index 5f5578eadd..e65daeb2d4 100644
--- a/arm_compute/function_info/FullyConnectedLayerInfo.h
+++ b/arm_compute/function_info/FullyConnectedLayerInfo.h
@@ -35,13 +35,13 @@ struct FullyConnectedLayerInfo
/* Fused-activation parameters */
ActivationLayerInfo activation_info{}; /**< Fused activation to apply after the matrix multiplication. */
/* Information about weights */
- DataLayout weights_trained_layout{ DataLayout::NCHW }; /**< Layout that the weights have been trained with. */
- bool transpose_weights{ true }; /**< Transpose weights if true. */
- bool are_weights_reshaped{ false }; /**< @deprecated Reshape the weights tensor if false. */
- bool retain_internal_weights{ false }; /**< Retain internal reshaped weights. */
- bool enable_fast_math{ false }; /**< Enable fast math computation. */
+ DataLayout weights_trained_layout{DataLayout::NCHW}; /**< Layout that the weights have been trained with. */
+ bool transpose_weights{true}; /**< Transpose weights if true. */
+ bool are_weights_reshaped{false}; /**< @deprecated Reshape the weights tensor if false. */
+ bool retain_internal_weights{false}; /**< Retain internal reshaped weights. */
+ bool enable_fast_math{false}; /**< Enable fast math computation. */
/* Other parameters */
- bool fp_mixed_precision{ false }; /**< Use wider accumulators (32 bit instead of 16 for FP16) to improve accuracy. */
+ bool fp_mixed_precision{false}; /**< Use wider accumulators (32 bit instead of 16 for FP16) to improve accuracy. */
/** Sets the weights trained data layout
*