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authorramelg01 <ramy.elgammal@arm.com>2021-09-29 10:05:09 +0100
committerramy.elgammal <ramy.elgammal@arm.com>2021-10-01 18:41:10 +0000
commit6d891575e0c4432e170db7746037934299a0f2ca (patch)
treee5db0d214169c6c5602f43734ee592e00370fef9 /src/runtime/CL/functions/CLInstanceNormalizationLayer.cpp
parent93f7c3fe1a9c8c98265c50376cacd5fd9ebb7a72 (diff)
downloadComputeLibrary-6d891575e0c4432e170db7746037934299a0f2ca.tar.gz
Provide logging for configure functions in all CL functions
Partially Resolves: COMPMID-4718 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Change-Id: I59943081de0f3105bdbfc78af53971a0de8cd53e Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6332 Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/runtime/CL/functions/CLInstanceNormalizationLayer.cpp')
-rw-r--r--src/runtime/CL/functions/CLInstanceNormalizationLayer.cpp3
1 files changed, 3 insertions, 0 deletions
diff --git a/src/runtime/CL/functions/CLInstanceNormalizationLayer.cpp b/src/runtime/CL/functions/CLInstanceNormalizationLayer.cpp
index 4a0bda8255..5feafe19db 100644
--- a/src/runtime/CL/functions/CLInstanceNormalizationLayer.cpp
+++ b/src/runtime/CL/functions/CLInstanceNormalizationLayer.cpp
@@ -31,6 +31,8 @@
#include "src/core/CL/kernels/CLFillBorderKernel.h"
#include "src/core/CL/kernels/CLInstanceNormalizationLayerKernel.h"
+#include "src/common/utils/Log.h"
+
namespace arm_compute
{
CLInstanceNormalizationLayer::CLInstanceNormalizationLayer(CLRuntimeContext *ctx) // NOLINT
@@ -51,6 +53,7 @@ void CLInstanceNormalizationLayer::configure(ICLTensor *input, ICLTensor *output
void CLInstanceNormalizationLayer::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, float gamma, float beta, float epsilon, bool use_mixed_precision)
{
+ ARM_COMPUTE_LOG_PARAMS(input, output, gamma, beta, epsilon, use_mixed_precision);
auto w = std::make_unique<CLComputeMeanVariance>();
w->configure(compile_context, input, &_mean_var_tensor, use_mixed_precision);
_mean_var_kernel = std::move(w);