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/NEFuseBatchNormalization.cpp

diff --git a/src/runtime/NEON/functions/NEFuseBatchNormalization.cpp b/src/runtime/NEON/functions/NEFuseBatchNormalization.cpp
index a8ce6b2..6612845 100644
--- a/src/runtime/NEON/functions/NEFuseBatchNormalization.cpp
+++ b/src/runtime/NEON/functions/NEFuseBatchNormalization.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2020 Arm Limited.
+ * Copyright (c) 2018-2021 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -28,6 +28,7 @@
 #include "arm_compute/core/TensorInfo.h"
 #include "arm_compute/core/Types.h"
 #include "arm_compute/runtime/NEON/NEScheduler.h"
+#include "src/common/utils/Log.h"
 #include "src/core/NEON/kernels/NEFuseBatchNormalizationKernel.h"
 
 namespace arm_compute
@@ -44,6 +45,9 @@
                                          const ITensor *input_bias, const ITensor *bn_beta, const ITensor *bn_gamma,
                                          float epsilon, FuseBatchNormalizationType fbn_type)
 {
+    ARM_COMPUTE_LOG_PARAMS(input_weights, bn_mean, bn_var, fused_weights, fused_bias, input_bias,
+                           bn_beta, bn_gamma, epsilon, fbn_type);
+
     _fuse_bn_kernel = std::make_unique<NEFuseBatchNormalizationKernel>();
     _fuse_bn_kernel->configure(input_weights, bn_mean, bn_var, fused_weights, fused_bias, input_bias, bn_beta, bn_gamma, epsilon, fbn_type);
 }