Fix fill() for FP data type in fixtures - Part 2
Resolves: COMPMID-4056
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Change-Id: I6623eb9c0e66e52af4e0e9fb386031f4a09125b7
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4722
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
diff --git a/tests/validation/fixtures/WinogradConvolutionLayerFixture.h b/tests/validation/fixtures/WinogradConvolutionLayerFixture.h
index e1cc953..1061fd0 100644
--- a/tests/validation/fixtures/WinogradConvolutionLayerFixture.h
+++ b/tests/validation/fixtures/WinogradConvolutionLayerFixture.h
@@ -72,9 +72,14 @@
switch(tensor.data_type())
{
case DataType::F16:
+ {
+ arm_compute::utils::uniform_real_distribution_fp16 distribution{ half(min), half(max) };
+ library->fill(tensor, distribution, i);
+ break;
+ }
case DataType::F32:
{
- std::uniform_real_distribution<> distribution(min, max);
+ std::uniform_real_distribution<float> distribution(min, max);
library->fill(tensor, distribution, i);
break;
}
@@ -183,7 +188,7 @@
}
case DataType::F32:
{
- std::uniform_real_distribution<> distribution(min, max);
+ std::uniform_real_distribution<float> distribution(min, max);
library->fill(tensor, distribution, i);
break;
}
@@ -338,9 +343,14 @@
switch(tensor.data_type())
{
case DataType::F16:
+ {
+ arm_compute::utils::uniform_real_distribution_fp16 distribution{ half(min), half(max) };
+ library->fill(tensor, distribution, i);
+ break;
+ }
case DataType::F32:
{
- std::uniform_real_distribution<> distribution(min, max);
+ std::uniform_real_distribution<float> distribution(min, max);
library->fill(tensor, distribution, i);
break;
}
@@ -420,9 +430,14 @@
switch(tensor.data_type())
{
case DataType::F16:
+ {
+ arm_compute::utils::uniform_real_distribution_fp16 distribution{ half(min), half(max) };
+ library->fill(tensor, distribution, i);
+ break;
+ }
case DataType::F32:
{
- std::uniform_real_distribution<> distribution(min, max);
+ std::uniform_real_distribution<float> distribution(min, max);
library->fill(tensor, distribution, i);
break;
}