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These input varations of group_norm are failed
"input_shape, num_groups", # These two cases appeared in stable diffusion v2 and accuracy failed pytest.param((1, 1280, 8, 8), 32, marks=pytest.mark.xfail(reason="")), pytest.param((1, 2560, 8, 8), 32, marks=pytest.mark.xfail(reason="")), # These four cases appeared in retinanet_resnet50_fpn_v2 and RuntimeError pytest.param((1, 256, 50, 68), 32, marks=pytest.mark.xfail(reason="")), pytest.param((1, 256, 25, 34), 32, marks=pytest.mark.xfail(reason="")), pytest.param((1, 256, 13, 17), 32, marks=pytest.mark.xfail(reason="")), pytest.param((1, 256, 7, 9), 32, marks=pytest.mark.xfail(reason="")),
You can reproduce by
aten_native_group_norm_default_blocklist
pytest tests/lowering/normalization/test_group_norm.py --runxfail
Btw, if the input_tensor layout set TtnnTileLayout then this two case accuracy failed
TtnnTileLayout
"input_shape, num_groups", [(1, 320, 32, 32), 32] [(2, 320, 64, 64), 32]
The text was updated successfully, but these errors were encountered:
aten.native_group_norm.default
ayerofieiev-tt
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These input varations of group_norm are failed
You can reproduce by
aten_native_group_norm_default_blocklist
pytest tests/lowering/normalization/test_group_norm.py --runxfail
Btw, if the input_tensor layout set
TtnnTileLayout
then this two case accuracy failedThe text was updated successfully, but these errors were encountered: