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author | ramelg01 <ramy.elgammal@arm.com> | 2021-09-17 17:36:57 +0100 |
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committer | ramy.elgammal <ramy.elgammal@arm.com> | 2021-09-22 09:44:25 +0000 |
commit | cbbb03813b79b7f0274b18436a78a79ff31e469e (patch) | |
tree | a80e529e419ddff1ef2f5fa72dfa37d29bf53977 /src/runtime/NEON/functions/NERNNLayer.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/NERNNLayer.cpp')
-rw-r--r-- | src/runtime/NEON/functions/NERNNLayer.cpp | 2 |
1 files changed, 2 insertions, 0 deletions
diff --git a/src/runtime/NEON/functions/NERNNLayer.cpp b/src/runtime/NEON/functions/NERNNLayer.cpp index 6f6d4d942d..a66ef3d27a 100644 --- a/src/runtime/NEON/functions/NERNNLayer.cpp +++ b/src/runtime/NEON/functions/NERNNLayer.cpp @@ -30,6 +30,7 @@ #include "arm_compute/core/Validate.h" #include "arm_compute/core/utils/misc/ShapeCalculator.h" #include "arm_compute/runtime/NEON/NEScheduler.h" +#include "src/common/utils/Log.h" namespace arm_compute { @@ -73,6 +74,7 @@ void NERNNLayer::configure(const ITensor *input, const ITensor *weights, const I { ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, recurrent_weights, bias, hidden_state, output); ARM_COMPUTE_ERROR_THROW_ON(NERNNLayer::validate(input->info(), weights->info(), recurrent_weights->info(), bias->info(), hidden_state->info(), output->info(), info)); + ARM_COMPUTE_LOG_PARAMS(input, weights, recurrent_weights, bias, hidden_state, output, info); const int idx_height = get_data_layout_dimension_index(input->info()->data_layout(), DataLayoutDimension::HEIGHT); TensorShape shape = misc::shape_calculator::compute_rnn_shape(recurrent_weights->info(), hidden_state->info()->dimension(idx_height)); |