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author | AUTOMATIC1111 <16777216c@gmail.com> | 2023-12-31 19:33:32 +0000 |
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committer | GitHub <noreply@github.com> | 2023-12-31 19:33:32 +0000 |
commit | be5f1acc8f6e5bfc7f8234fd570d663b2fde9c27 (patch) | |
tree | a07510354ce2dddf0afaf37ba256eba6d820900d /test | |
parent | f3af8c8d04d6be58ddb3b55f77d8006241dca8f6 (diff) | |
parent | 5768afc776a66bb94e77a9c1daebeea58fa731d5 (diff) | |
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Merge pull request #14478 from akx/dtype-inspect
Add utility to inspect a model's dtype/device
Diffstat (limited to 'test')
-rw-r--r-- | test/test_torch_utils.py | 19 |
1 files changed, 19 insertions, 0 deletions
diff --git a/test/test_torch_utils.py b/test/test_torch_utils.py new file mode 100644 index 00000000..f1aec832 --- /dev/null +++ b/test/test_torch_utils.py @@ -0,0 +1,19 @@ +import types + +import pytest +import torch + +from modules.torch_utils import get_param + + +@pytest.mark.parametrize("wrapped", [True, False]) +def test_get_param(wrapped): + mod = torch.nn.Linear(1, 1) + cpu = torch.device("cpu") + mod.to(dtype=torch.float16, device=cpu) + if wrapped: + # more or less how spandrel wraps a thing + mod = types.SimpleNamespace(model=mod) + p = get_param(mod) + assert p.dtype == torch.float16 + assert p.device == cpu |