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| author | ramelg01 <ramy.elgammal@arm.com> | 2021-09-17 17:36:57 +0100 |
|---|---|---|
| committer | ramy.elgammal <ramy.elgammal@arm.com> | 2021-09-22 09:44:25 +0000 |
| commit | cbbb03813b79b7f0274b18436a78a79ff31e469e (patch) | |
| tree | a80e529e419ddff1ef2f5fa72dfa37d29bf53977 /src/runtime/NEON/functions/NENormalizationLayer.cpp | |
| parent | 3ae3d88c1a305ef4fc0beed8fda3cfc39ddb2ae8 (diff) | |
| download | ComputeLibrary-cbbb03813b79b7f0274b18436a78a79ff31e469e.tar.gz | |
Provide logging for configure functions in all NEON functions
Partially Resolves: COMPMID-4718
Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com>
Change-Id: I655268c57fa126d9c99981c49d345a3aac75646e
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6286
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com>
Reviewed-by: SiCong Li <sicong.li@arm.com>
Diffstat (limited to 'src/runtime/NEON/functions/NENormalizationLayer.cpp')
| -rw-r--r-- | src/runtime/NEON/functions/NENormalizationLayer.cpp | 4 |
1 files changed, 3 insertions, 1 deletions
diff --git a/src/runtime/NEON/functions/NENormalizationLayer.cpp b/src/runtime/NEON/functions/NENormalizationLayer.cpp index 9dcb157c03..d3b1696335 100644 --- a/src/runtime/NEON/functions/NENormalizationLayer.cpp +++ b/src/runtime/NEON/functions/NENormalizationLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2020 Arm Limited. + * Copyright (c) 2017-2021 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -29,6 +29,7 @@ #include "arm_compute/core/Types.h" #include "arm_compute/core/Validate.h" #include "arm_compute/runtime/NEON/NEScheduler.h" +#include "src/common/utils/Log.h" #include "src/core/NEON/kernels/NENormalizationLayerKernel.h" namespace arm_compute @@ -43,6 +44,7 @@ NENormalizationLayer::NENormalizationLayer(std::shared_ptr<IMemoryManager> memor void NENormalizationLayer::configure(const ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info) { ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); + ARM_COMPUTE_LOG_PARAMS(input, output, norm_info); TensorInfo tensor_info(input->info()->tensor_shape(), 1, input->info()->data_type()); _input_squared.allocator()->init(tensor_info); |