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Arm backend: Change input distribution on resnet18 test #14815

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Arm backend: Change input distribution on resnet18 test #14815

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7 changes: 4 additions & 3 deletions backends/arm/test/models/test_resnet18.py
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Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,8 @@
model = model.eval()
normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])

model_inputs = (normalize(torch.randn((1, 3, 224, 224))),)
# Using torch.rand * 2 - 1 to generate numbers in the range [-1;1] like an RGB image
model_inputs = (normalize(torch.rand((1, 3, 224, 224)) * 2 - 1),)

input_t = Tuple[torch.Tensor]

Expand Down Expand Up @@ -71,7 +72,7 @@ def test_resnet_u55_INT(per_channel_quantization):
exir_ops=[],
use_to_edge_transform_and_lower=True,
per_channel_quantization=per_channel_quantization,
atol=0.5,
atol=0.25,
qtol=1,
)
pipeline.run()
Expand All @@ -91,7 +92,7 @@ def test_resnet_u85_INT(per_channel_quantization):
exir_ops=[],
use_to_edge_transform_and_lower=True,
per_channel_quantization=per_channel_quantization,
atol=0.5,
atol=0.25,
qtol=1,
)
pipeline.run()
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