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authorramelg01 <ramy.elgammal@arm.com>2021-09-17 17:36:57 +0100
committerramy.elgammal <ramy.elgammal@arm.com>2021-09-22 09:44:25 +0000
commitcbbb03813b79b7f0274b18436a78a79ff31e469e (patch)
treea80e529e419ddff1ef2f5fa72dfa37d29bf53977 /src/runtime/NEON/functions/NELSTMLayerQuantized.cpp
parent3ae3d88c1a305ef4fc0beed8fda3cfc39ddb2ae8 (diff)
downloadComputeLibrary-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/NELSTMLayerQuantized.cpp')
-rw-r--r--src/runtime/NEON/functions/NELSTMLayerQuantized.cpp5
1 files changed, 5 insertions, 0 deletions
diff --git a/src/runtime/NEON/functions/NELSTMLayerQuantized.cpp b/src/runtime/NEON/functions/NELSTMLayerQuantized.cpp
index eb7d584da2..cfdeb000e0 100644
--- a/src/runtime/NEON/functions/NELSTMLayerQuantized.cpp
+++ b/src/runtime/NEON/functions/NELSTMLayerQuantized.cpp
@@ -26,6 +26,7 @@
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/core/utils/quantization/AsymmHelpers.h"
+#include "src/common/utils/Log.h"
#include "src/core/helpers/AutoConfiguration.h"
#include <cmath>
@@ -72,6 +73,10 @@ void NELSTMLayerQuantized::configure(const ITensor *input,
recurrent_to_input_weights->info(), recurrent_to_forget_weights->info(), recurrent_to_cell_weights->info(), recurrent_to_output_weights->info(),
input_gate_bias->info(), forget_gate_bias->info(), cell_bias->info(), output_gate_bias->info(), cell_state_in->info(), output_state_in->info(), cell_state_out->info(), output_state_out->info()));
+ ARM_COMPUTE_LOG_PARAMS(input, input_to_input_weights, input_to_forget_weights, input_to_cell_weights, input_to_output_weights,
+ recurrent_to_input_weights, recurrent_to_forget_weights, recurrent_to_cell_weights, recurrent_to_output_weights,
+ input_gate_bias, forget_gate_bias, cell_bias, output_gate_bias, cell_state_in, output_state_in, cell_state_out, output_state_out);
+
const int input_size = input->info()->dimension(0);
const int batch_size = input->info()->dimension(1);
const int output_size = input_to_input_weights->info()->dimension(1);