diff options
Diffstat (limited to 'tests/validation/reference/InstanceNormalizationLayer.cpp')
| -rw-r--r-- | tests/validation/reference/InstanceNormalizationLayer.cpp | 19 |
1 files changed, 7 insertions, 12 deletions
diff --git a/tests/validation/reference/InstanceNormalizationLayer.cpp b/tests/validation/reference/InstanceNormalizationLayer.cpp index 0e5c02aa99..ad0ac1be68 100644 --- a/tests/validation/reference/InstanceNormalizationLayer.cpp +++ b/tests/validation/reference/InstanceNormalizationLayer.cpp @@ -52,26 +52,21 @@ SimpleTensor<T> instance_normalization(const SimpleTensor<T> &src, float gamma, for(size_t c_i = 0; c_i < c_size; ++c_i) { float sum_h_w = 0; - //Compute mean + float sum_sq_h_w = 0; + for(size_t h_i = 0; h_i < h_size; ++h_i) { for(size_t w_i = 0; w_i < w_size; ++w_i) { - sum_h_w += src[coord2index(src.shape(), Coordinates(w_i, h_i, c_i, n_i))]; + 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; } } + //Compute mean const float mean_h_w = sum_h_w / (h_size * w_size); - //Compute variance - float partial_var_h_w = 0; - for(size_t h_i = 0; h_i < h_size; ++h_i) - { - for(size_t w_i = 0; w_i < w_size; ++w_i) - { - partial_var_h_w += std::pow(src[coord2index(src.shape(), Coordinates(w_i, h_i, c_i, n_i))] - mean_h_w, 2); - } - } - const float var_h_w = partial_var_h_w / (h_size * w_size); + 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) |