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authorAUTOMATIC1111 <16777216c@gmail.com>2023-12-31 19:33:32 +0000
committerGitHub <noreply@github.com>2023-12-31 19:33:32 +0000
commitbe5f1acc8f6e5bfc7f8234fd570d663b2fde9c27 (patch)
treea07510354ce2dddf0afaf37ba256eba6d820900d /test
parentf3af8c8d04d6be58ddb3b55f77d8006241dca8f6 (diff)
parent5768afc776a66bb94e77a9c1daebeea58fa731d5 (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.py19
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