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Update transformer model test script to match with 4.37.1 #694

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Merged
regisss merged 1 commit into from
Feb 8, 2024
Merged

Update transformer model test script to match with 4.37.1 #694

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7 changes: 4 additions & 3 deletions tests/transformers/tests/test_modeling_common.py
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Original file line number Diff line number Diff line change
Expand Up @@ -83,6 +83,7 @@

if is_torch_available():
import torch
from safetensors.torch import save_file as safe_save_file
from torch import nn
from transformers import MODEL_MAPPING, AdaptiveEmbedding
from transformers.pytorch_utils import id_tensor_storage
Expand Down Expand Up @@ -408,7 +409,7 @@ class CopyClass(base_class):

# check that certain keys didn't get saved with the model
with tempfile.TemporaryDirectory() as tmpdirname:
model.config.save_pretrained(tmpdirname)
model.save_pretrained(tmpdirname)
torch.save(state_dict, os.path.join(tmpdirname, "pytorch_model.bin"))

model_fast_init = base_class_copy.from_pretrained(tmpdirname)
Expand Down Expand Up @@ -1661,8 +1662,8 @@ def test_model_weights_reload_no_missing_tied_weights(self):

# We are nuking ALL weights on file, so every parameter should
# yell on load. We're going to detect if we yell too much, or too little.
with open(os.path.join(tmp_dir, "pytorch_model.bin"), "wb") as f:
torch.save({}, f)
placeholder_dict = {"tensor": torch.tensor([1, 2])}
safe_save_file(placeholder_dict, os.path.join(tmp_dir, "model.safetensors"), metadata={"format": "pt"})
model_reloaded, infos = model_class.from_pretrained(tmp_dir, output_loading_info=True)

prefix = f"{model_reloaded.base_model_prefix}."
Expand Down