arm_compute v20.05
diff --git a/tests/validation/reference/InstanceNormalizationLayer.cpp b/tests/validation/reference/InstanceNormalizationLayer.cpp
index ad0ac1b..3395497 100644
--- a/tests/validation/reference/InstanceNormalizationLayer.cpp
+++ b/tests/validation/reference/InstanceNormalizationLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019 ARM Limited.
+ * Copyright (c) 2019-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -46,12 +46,14 @@
const size_t h_size = src.shape()[1];
const size_t c_size = src.shape()[2];
const size_t n_size = src.shape()[3];
-
+#if defined(_OPENMP)
+ #pragma omp parallel for collapse(2)
+#endif /* _OPENMP */
for(size_t n_i = 0; n_i < n_size; ++n_i)
{
for(size_t c_i = 0; c_i < c_size; ++c_i)
{
- float sum_h_w = 0;
+ float sum_h_w = 0;
float sum_sq_h_w = 0;
for(size_t h_i = 0; h_i < h_size; ++h_i)
@@ -60,13 +62,14 @@
{
float val = src[coord2index(src.shape(), Coordinates(w_i, h_i, c_i, n_i))];
sum_h_w += val;
- sum_sq_h_w += val*val;
+ sum_sq_h_w += val * val;
}
}
//Compute mean
const float mean_h_w = sum_h_w / (h_size * w_size);
//Compute variance
- const float var_h_w = sum_sq_h_w / (h_size * w_size) - mean_h_w * mean_h_w;;
+ const float var_h_w = sum_sq_h_w / (h_size * w_size) - mean_h_w * mean_h_w;
+ ;
//Apply mean
for(size_t h_i = 0; h_i < h_size; ++h_i)