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[Bug fixed] Change squeeze() to squeeze(0) to accomodate for sequence length of 1 #1581

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[Bug fixed] Change squeeze() to squeeze(0) to accomodate for sequence length of 1 #1581

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46 changes: 23 additions & 23 deletions simpletransformers/seq2seq/seq2seq_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -57,9 +57,9 @@ def preprocess_batch_for_hf_dataset(
)

return {
"source_ids": input_ids["input_ids"].squeeze(),
"source_mask": input_ids["attention_mask"].squeeze(),
"target_ids": target_ids["input_ids"].squeeze(),
"source_ids": input_ids["input_ids"].squeeze(0),
"source_mask": input_ids["attention_mask"].squeeze(0),
"target_ids": target_ids["input_ids"].squeeze(0),
}
elif args.model_type == "mbart":
tokenized_example = encoder_tokenizer.prepare_seq2seq_batch(
Expand All @@ -85,10 +85,10 @@ def preprocess_batch_for_hf_dataset(
labels[labels == encoder_tokenizer.pad_token_id] = -100

return {
"input_ids": tokenized_example["input_ids"].squeeze(),
"attention_mask": tokenized_example["attention_mask"].squeeze(),
"decoder_input_ids": decoder_input_ids.squeeze(),
"labels": labels.squeeze(),
"input_ids": tokenized_example["input_ids"].squeeze(0),
"attention_mask": tokenized_example["attention_mask"].squeeze(0),
"decoder_input_ids": decoder_input_ids.squeeze(0),
"labels": labels.squeeze(0),
}
elif args.model_type in ["rag-token", "rag-sequence"]:
source_inputs = encoder_tokenizer(
Expand Down Expand Up @@ -121,9 +121,9 @@ def preprocess_batch_for_hf_dataset(
return_tensors="np",
truncation=True,
)
source_ids = source_inputs["input_ids"].squeeze()
target_ids = target_inputs["input_ids"].squeeze()
src_mask = source_inputs["attention_mask"].squeeze()
source_ids = source_inputs["input_ids"].squeeze(0)
target_ids = target_inputs["input_ids"].squeeze(0)
src_mask = source_inputs["attention_mask"].squeeze(0)
return {
"input_ids": source_ids,
"attention_mask": src_mask,
Expand All @@ -145,9 +145,9 @@ def preprocess_batch_for_hf_dataset(
return_tensors="np",
truncation=True,
)
source_ids = source_inputs["input_ids"].squeeze()
target_ids = target_inputs["input_ids"].squeeze()
src_mask = source_inputs["attention_mask"].squeeze()
source_ids = source_inputs["input_ids"].squeeze(0)
target_ids = target_inputs["input_ids"].squeeze(0)
src_mask = source_inputs["attention_mask"].squeeze(0)
return {
"input_ids": source_ids,
"attention_mask": src_mask,
Expand Down Expand Up @@ -226,9 +226,9 @@ def preprocess_data(data):
return_tensors="pt",
truncation=True,
)
source_ids = source_inputs["input_ids"].squeeze()
target_ids = target_inputs["input_ids"].squeeze()
src_mask = source_inputs["attention_mask"].squeeze()
source_ids = source_inputs["input_ids"].squeeze(0)
target_ids = target_inputs["input_ids"].squeeze(0)
src_mask = source_inputs["attention_mask"].squeeze(0)
return {
"input_ids": source_ids,
"attention_mask": src_mask,
Expand Down Expand Up @@ -335,9 +335,9 @@ def preprocess_data_bart(data):
)

return {
"source_ids": input_ids["input_ids"].squeeze(),
"source_mask": input_ids["attention_mask"].squeeze(),
"target_ids": target_ids["input_ids"].squeeze(),
"source_ids": input_ids["input_ids"].squeeze(0),
"source_mask": input_ids["attention_mask"].squeeze(0),
"target_ids": target_ids["input_ids"].squeeze(0),
}


Expand Down Expand Up @@ -366,10 +366,10 @@ def preprocess_data_mbart(data):
labels[labels == tokenizer.pad_token_id] = -100

return {
"input_ids": tokenized_example["input_ids"].squeeze(),
"attention_mask": tokenized_example["attention_mask"].squeeze(),
"decoder_input_ids": decoder_input_ids.squeeze(),
"labels": labels.squeeze(),
"input_ids": tokenized_example["input_ids"].squeeze(0),
"attention_mask": tokenized_example["attention_mask"].squeeze(0),
"decoder_input_ids": decoder_input_ids.squeeze(0),
"labels": labels.squeeze(0),
}


Expand Down