1 files changed, 25 insertions, 10 deletions
diff --git a/src/runtime/CL/functions/CLInstanceNormalizationLayer.cpp b/src/runtime/CL/functions/CLInstanceNormalizationLayer.cpp
index 4a0bda8255..0e994e1aee 100644
--- a/src/runtime/CL/functions/CLInstanceNormalizationLayer.cpp
+++ b/src/runtime/CL/functions/CLInstanceNormalizationLayer.cpp
@@ -27,6 +27,8 @@
 #include "arm_compute/core/Types.h"
 #include "arm_compute/runtime/CL/CLHelpers.h"
 #include "arm_compute/runtime/CL/CLScheduler.h"
+
+#include "src/common/utils/Log.h"
 #include "src/core/CL/ICLKernel.h"
 #include "src/core/CL/kernels/CLFillBorderKernel.h"
 #include "src/core/CL/kernels/CLInstanceNormalizationLayerKernel.h"
@@ -34,40 +36,53 @@
 namespace arm_compute
 {
 CLInstanceNormalizationLayer::CLInstanceNormalizationLayer(CLRuntimeContext *ctx) // NOLINT
-    : _inst_norm_kernel(),
-      _mean_var_kernel(),
-      _mean_var_tensor(),
-      _ctx(ctx)
+    : _inst_norm_kernel(), _mean_var_kernel(), _mean_var_tensor(), _ctx(ctx)
 {
 }
 CLInstanceNormalizationLayer::~CLInstanceNormalizationLayer()
 {
 }
 
-void CLInstanceNormalizationLayer::configure(ICLTensor *input, ICLTensor *output, float gamma, float beta, float epsilon, bool use_mixed_precision)
+void CLInstanceNormalizationLayer::configure(
+    ICLTensor *input, ICLTensor *output, float gamma, float beta, float epsilon, bool use_mixed_precision)
 {
     configure(CLKernelLibrary::get().get_compile_context(), input, output, gamma, beta, epsilon, use_mixed_precision);
 }
 
-void CLInstanceNormalizationLayer::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, float gamma, float beta, float epsilon, bool use_mixed_precision)
+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);
     auto k           = std::make_unique<CLInstanceNormalizationLayerKernel>();
-    k->configure(compile_context, input, &_mean_var_tensor, output, InstanceNormalizationLayerKernelInfo(gamma, beta, epsilon, use_mixed_precision));
+    k->configure(compile_context, input, &_mean_var_tensor, output,
+                 InstanceNormalizationLayerKernelInfo(gamma, beta, epsilon, use_mixed_precision));
     _inst_norm_kernel = std::move(k);
     _mean_var_tensor.allocator()->allocate();
 }
 
-Status CLInstanceNormalizationLayer::validate(const ITensorInfo *input, const ITensorInfo *output, float gamma, float beta, float epsilon, bool use_mixed_precision)
+Status CLInstanceNormalizationLayer::validate(const ITensorInfo *input,
+                                              const ITensorInfo *output,
+                                              float              gamma,
+                                              float              beta,
+                                              float              epsilon,
+                                              bool               use_mixed_precision)
 {
-    return CLInstanceNormalizationLayerKernel::validate(input, output, InstanceNormalizationLayerKernelInfo(gamma, beta, epsilon, use_mixed_precision));
+    return CLInstanceNormalizationLayerKernel::validate(
+        input, output, InstanceNormalizationLayerKernelInfo(gamma, beta, epsilon, use_mixed_precision));
 }
 
 void CLInstanceNormalizationLayer::run()
 {
-    ARM_COMPUTE_ERROR_ON_MSG(!_inst_norm_kernel, "The child class didn't set the CL kernel or function isn't configured");
+    ARM_COMPUTE_ERROR_ON_MSG(!_inst_norm_kernel,
+                             "The child class didn't set the CL kernel or function isn't configured");
     schedule_kernel_on_ctx(_ctx, _mean_var_kernel.get());
     schedule_kernel_on_ctx(_ctx, _inst_norm_kernel.get());
 }