COMPMID-2309 : CLConvolutionLayer: support QUANT8_SYMM_PER_CHANNEL filters
Change-Id: I16f6758b768ede404a064db057302ded706e1e8a
Signed-off-by: Vidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com>
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/2215
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
diff --git a/tests/AssetsLibrary.h b/tests/AssetsLibrary.h
index f8635ea..9a22b2f 100644
--- a/tests/AssetsLibrary.h
+++ b/tests/AssetsLibrary.h
@@ -216,6 +216,19 @@
/** Fills the specified @p raw tensor with random values drawn from @p
* distribution.
*
+ * @param[in, out] vec To be filled vector.
+ * @param[in] distribution Distribution used to fill the tensor.
+ * @param[in] seed_offset The offset will be added to the global seed before initialising the random generator.
+ *
+ * @note The @p distribution has to provide operator(Generator &) which
+ * will be used to draw samples.
+ */
+ template <typename T, typename D>
+ void fill(std::vector<T> &vec, D &&distribution, std::random_device::result_type seed_offset) const;
+
+ /** Fills the specified @p raw tensor with random values drawn from @p
+ * distribution.
+ *
* @param[in, out] raw To be filled raw.
* @param[in] distribution Distribution used to fill the tensor.
* @param[in] seed_offset The offset will be added to the global seed before initialising the random generator.
@@ -522,6 +535,22 @@
}
template <typename T, typename D>
+void AssetsLibrary::fill(std::vector<T> &vec, D &&distribution, std::random_device::result_type seed_offset) const
+{
+ ARM_COMPUTE_ERROR_ON_MSG(vec.empty(), "Vector must not be empty");
+
+ using ResultType = typename std::remove_reference<D>::type::result_type;
+
+ std::mt19937 gen(_seed + seed_offset);
+ for(size_t i = 0; i < vec.size(); ++i)
+ {
+ const ResultType value = distribution(gen);
+
+ vec[i] = value;
+ }
+}
+
+template <typename T, typename D>
void AssetsLibrary::fill(T &&tensor, D &&distribution, std::random_device::result_type seed_offset) const
{
using ResultType = typename std::remove_reference<D>::type::result_type;