commit cbbb03813b79b7f0274b18436a78a79ff31e469e
author ramelg01 <ramy.elgammal@arm.com> Fri Sep 17 17:36:57 2021 +0100
committer ramy.elgammal <ramy.elgammal@arm.com> Wed Sep 22 09:44:25 2021 +0000
tree a80e529e419ddff1ef2f5fa72dfa37d29bf53977
parent 3ae3d88c1a305ef4fc0beed8fda3cfc39ddb2ae8

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>

src/runtime/NEON/functions/NELSTMLayerQuantized.cpp

diff --git a/src/runtime/NEON/functions/NELSTMLayerQuantized.cpp b/src/runtime/NEON/functions/NELSTMLayerQuantized.cpp
index eb7d584..cfdeb00 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 @@
                                                               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);