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Set pad_token for all tokenizers in tests #414

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Merged
merged 2 commits into from
Apr 4, 2023
Merged

Set pad_token for all tokenizers in tests #414

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6938776
init
Apr 3, 2023
f1e3997
add token other way
Apr 4, 2023
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9 changes: 5 additions & 4 deletions tests/test_models.py
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Original file line number Diff line number Diff line change
Expand Up @@ -45,9 +45,10 @@ def tearDown(self):

def _create_inputs(self, model_path):
tokenizer = transformers.AutoTokenizer.from_pretrained(model_path)
tokenizer.pad_token = tokenizer.eos_token
tokenizer.add_special_tokens({"pad_token": "[PAD]"})
tokenizer.padding_side = "left"
return tokenizer(self.text, truncation=True, padding="max_length", max_length=4, return_tensors="pt")
tokenized = tokenizer(self.text, truncation=True, padding="max_length", max_length=4, return_tensors="pt")
return dict(input_ids=tokenized.input_ids, attention_mask=tokenized.attention_mask)

def test_forward(self):
for model_path in AUTO_CAUSAL_LM_PATHS:
Expand Down Expand Up @@ -290,7 +291,7 @@ def tearDown(self):

def _create_inputs(self, model_path):
tokenizer = transformers.AutoTokenizer.from_pretrained(model_path)
tokenizer.pad_token = tokenizer.eos_token
tokenizer.add_special_tokens({"pad_token": "[PAD]"})
tokenizer.padding_side = "left"
return tokenizer(self.text, truncation=True, padding="max_length", max_length=4, return_tensors="pt")

Expand Down Expand Up @@ -365,6 +366,7 @@ def tearDown(self):
def _create_inputs(self, model_path):
tokenizer = transformers.AutoTokenizer.from_pretrained(model_path)
tokenizer.padding_side = "left"
tokenizer.add_special_tokens({"pad_token": "[PAD]"})
inputs = tokenizer(self.text, truncation=True, padding="max_length", max_length=4, return_tensors="pt")
inputs["decoder_input_ids"] = torch.tensor([[tokenizer.pad_token_id]])
return inputs
Expand All @@ -373,7 +375,6 @@ def test_forward(self):
for model_path in AUTO_SEQ2SEQ_LM_PATHS:
model = self._auto_model_class.from_pretrained(model_path, **self._supported_args)
inputs = self._create_inputs(model_path)
print(inputs)
# Ensure that the `forward` method doesn't throw an error on generic inputs
try:
model(**inputs)
Expand Down