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-rw-r--r--utils/Utils.h8
1 files changed, 4 insertions, 4 deletions
diff --git a/utils/Utils.h b/utils/Utils.h
index 92ab1a30b9..8cac857178 100644
--- a/utils/Utils.h
+++ b/utils/Utils.h
@@ -607,7 +607,6 @@ void save_to_ppm(T &tensor, const std::string &ppm_filename)
/** Template helper function to save a tensor image to a NPY file.
*
* @note Only F32 data type supported.
- * @note Only works with 2D tensors.
* @note If the input tensor is a CLTensor, the function maps and unmaps the image
*
* @param[in] tensor The tensor to save as NPY file
@@ -627,9 +626,9 @@ void save_to_npy(T &tensor, const std::string &npy_filename, bool fortran_order)
std::vector<npy::ndarray_len_t> shape(tensor.info()->num_dimensions());
- for(unsigned int i = 0; i < tensor.info()->num_dimensions(); ++i)
+ for(unsigned int i = 0, j = tensor.info()->num_dimensions() - 1; i < tensor.info()->num_dimensions(); ++i, --j)
{
- shape[i] = tensor.info()->tensor_shape()[i];
+ shape[i] = tensor.info()->tensor_shape()[!fortran_order ? j : i];
}
// Map buffer if creating a CLTensor
@@ -802,12 +801,13 @@ int compare_tensor(ITensor &tensor1, ITensor &tensor2)
map(tensor1, true);
map(tensor2, true);
+
Iterator itensor1(&tensor1, window);
Iterator itensor2(&tensor2, window);
execute_window_loop(window, [&](const Coordinates & id)
{
- if(std::abs(*reinterpret_cast<T *>(itensor1.ptr()) - *reinterpret_cast<T *>(itensor2.ptr())) > 0.00001)
+ if(std::abs(*reinterpret_cast<T *>(itensor1.ptr()) - *reinterpret_cast<T *>(itensor2.ptr())) > 0.0001)
{
++num_mismatches;
}