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Improve test_initialization (#38607)

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* fix flaky init tests

* fix flaky init tests

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
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Yih-Dar 2025-06-06 10:08:05 +02:00 committed by GitHub
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commit 3e35ea1782
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1 changed files with 9 additions and 1 deletions
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tests/test_modeling_common.py
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@ -716,8 +716,16 @@ class ModelTesterMixin:
model = model_class(config=configs_no_init)
for name, param in model.named_parameters():
if param.requires_grad:
data = torch.flatten(param.data)
n_elements = torch.numel(data)
# skip 2.5% of elements on each side to avoid issues caused by `nn.init.trunc_normal_` described in
# https://github.com/huggingface/transformers/pull/27906#issuecomment-1846951332
n_elements_to_skip_on_each_side = int(n_elements * 0.025)
data_to_check = torch.sort(data).values
if n_elements_to_skip_on_each_side > 0:
data_to_check = data_to_check[n_elements_to_skip_on_each_side:-n_elements_to_skip_on_each_side]
self.assertIn(
((param.data.mean() * 1e9).round() / 1e9).item(),
((data_to_check.mean() * 1e9).round() / 1e9).item(),
[0.0, 1.0],
msg=f"Parameter {name} of model {model_class} seems not properly initialized",
)