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[BUGFIX] Fix windows dtype to int64 #1588

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merged 1 commit into from
Jan 13, 2022
Merged

[BUGFIX] Fix windows dtype to int64 #1588

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8 changes: 4 additions & 4 deletions examples/text_summarization/bart/generate.py
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Original file line number Diff line number Diff line change
Expand Up @@ -172,11 +172,11 @@ def generate(args):
ignore_pad_token_for_loss=args.ignore_pad_token_for_loss,
is_train=False)
batchify_fn = lambda samples, fn=Tuple(
Stack(), # input_ids
Stack(), # attention mask
Stack(dtype="int64"), # input_ids
Stack(dtype="int64"), # attention mask
Stack(dtype="int32"), # mem_seq_lens
Stack(), # decoder_input_ids
Stack(), # labels
Stack(dtype="int64"), # decoder_input_ids
Stack(dtype="int64"), # labels
): fn(samples)

dataset = dataset.map(trans_func, lazy=True)
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8 changes: 4 additions & 4 deletions examples/text_summarization/bart/run_summarization.py
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Original file line number Diff line number Diff line change
Expand Up @@ -220,10 +220,10 @@ def do_train(args):
train_batch_sampler = DistributedBatchSampler(
train_set, batch_size=args.train_batch_size, shuffle=True)
batchify_fn = lambda samples, fn=Tuple(
Stack(), # input_ids
Stack(), # attention mask
Stack(), # decoder_input_ids
Stack(), # labels
Stack(dtype="int64"), # input_ids
Stack(dtype="int64"), # attention mask
Stack(dtype="int64"), # decoder_input_ids
Stack(dtype="int64"), # labels
): fn(samples)
train_data_loader = DataLoader(
dataset=train_set,
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