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Merged
merged 13 commits into from
Mar 9, 2020
Merged

Skipping outputs #3116

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fb81862
Minimal example
LysandreJik Mar 3, 2020
8bd1a11
Proposal 2
LysandreJik Mar 4, 2020
4bc1b70
Proposal 2 for fast tokenizers
LysandreJik Mar 4, 2020
0c3d13a
Typings
LysandreJik Mar 6, 2020
ffb5f1b
Docs
LysandreJik Mar 6, 2020
04a9e32
Remove unnecessary assignments
LysandreJik Mar 6, 2020
839e3ca
Tests
LysandreJik Mar 6, 2020
23ec3c1
Revert "Docs" for easier review
LysandreJik Mar 6, 2020
12ed55a
Fix faulty type
LysandreJik Mar 6, 2020
3b3584d
Remove prints
LysandreJik Mar 6, 2020
3e39a72
return_outputs -> model_input_names
LysandreJik Mar 9, 2020
0c9c115
Revert "Revert "Docs" for easier review"
LysandreJik Mar 9, 2020
96b2fa1
code quality
LysandreJik Mar 9, 2020
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2 changes: 2 additions & 0 deletions src/transformers/tokenization_distilbert.py
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Expand Up @@ -69,10 +69,12 @@ class DistilBertTokenizer(BertTokenizer):
pretrained_vocab_files_map = PRETRAINED_VOCAB_FILES_MAP
max_model_input_sizes = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
pretrained_init_configuration = PRETRAINED_INIT_CONFIGURATION
model_input_names = ["attention_mask"]


class DistilBertTokenizerFast(BertTokenizerFast):
vocab_files_names = VOCAB_FILES_NAMES
pretrained_vocab_files_map = PRETRAINED_VOCAB_FILES_MAP
max_model_input_sizes = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
pretrained_init_configuration = PRETRAINED_INIT_CONFIGURATION
model_input_names = ["attention_mask"]
2 changes: 2 additions & 0 deletions src/transformers/tokenization_roberta.py
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Expand Up @@ -119,6 +119,7 @@ class RobertaTokenizer(GPT2Tokenizer):
vocab_files_names = VOCAB_FILES_NAMES
pretrained_vocab_files_map = PRETRAINED_VOCAB_FILES_MAP
max_model_input_sizes = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
model_input_names = ["attention_mask"]

def __init__(
self,
Expand Down Expand Up @@ -244,6 +245,7 @@ class RobertaTokenizerFast(GPT2TokenizerFast):
vocab_files_names = VOCAB_FILES_NAMES
pretrained_vocab_files_map = PRETRAINED_VOCAB_FILES_MAP
max_model_input_sizes = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
model_input_names = ["attention_mask"]

def __init__(
self,
Expand Down
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