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add truncation in text translator #472

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merged 4 commits into from
May 3, 2024
Merged

add truncation in text translator #472

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64cb547
add truncation in text translator
avidale Apr 24, 2024
f9804f7
add a test case for truncation
avidale Apr 26, 2024
3651108
Merge branch 'main' into truncate-in-translator
avidale Apr 26, 2024
e980dbc
rename the parameter
avidale Apr 26, 2024
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11 changes: 11 additions & 0 deletions src/fairseq2/generation/text.py
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Original file line number Diff line number Diff line change
Expand Up @@ -153,13 +153,15 @@ class TextTranslator:
_converter: SequenceToTextConverter
_pad_idx: int
_source_text_encoder: TextTokenEncoder
_max_source_len: Optional[int]

def __init__(
self,
generator: Seq2SeqGenerator,
tokenizer: TextTokenizer,
source_lang: Optional[str] = None,
target_lang: Optional[str] = None,
max_source_len: Optional[int] = None,
) -> None:
"""
:param generator:
Expand All @@ -170,6 +172,8 @@ def __init__(
The source language.
:param target_lang:
The target language.
:param max_source_len:
The number of tokens above which the source sequence gets truncated (None or 0 for no truncation)
"""
self._converter = SequenceToTextConverter(
generator, tokenizer, "translation", target_lang
Expand All @@ -188,6 +192,7 @@ def __init__(
self._source_text_encoder = tokenizer.create_encoder(
task="translation", lang=source_lang, mode="source", device=device
)
self._max_source_len = max_source_len

def __call__(self, source_text: str) -> Tuple[str, Seq2SeqGeneratorOutput]:
"""
Expand All @@ -200,6 +205,9 @@ def __call__(self, source_text: str) -> Tuple[str, Seq2SeqGeneratorOutput]:
"""
source_seq = self._source_text_encoder(source_text)

if self._max_source_len and source_seq.shape[0] > self._max_source_len:
source_seq = source_seq[: self._max_source_len]

return self._converter(source_seq)

def batch_translate(
Expand All @@ -220,6 +228,9 @@ def batch_translate(

source_seq_list = [self._source_text_encoder(t) for t in source_texts]

if self._max_source_len:
source_seq_list = [seq[: self._max_source_len] for seq in source_seq_list]

source_seqs, source_padding_mask = pad_seqs(source_seq_list, self._pad_idx)

return self._converter.batch_convert(source_seqs, source_padding_mask)
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18 changes: 17 additions & 1 deletion tests/integration/models/test_nllb.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,7 @@

from typing import Final

import pytest
import torch

from fairseq2.generation import BeamSearchSeq2SeqGenerator, TextTranslator
Expand All @@ -25,7 +26,7 @@ def test_load_dense_distill_600m() -> None:

tokenizer = load_nllb_tokenizer(model_name, progress=False)

generator = BeamSearchSeq2SeqGenerator(model, echo_prompt=True)
generator = BeamSearchSeq2SeqGenerator(model, echo_prompt=True, max_seq_len=128)

translator = TextTranslator(
generator, tokenizer, source_lang="eng_Latn", target_lang="deu_Latn"
Expand All @@ -34,3 +35,18 @@ def test_load_dense_distill_600m() -> None:
text, _ = translator(ENG_SENTENCE)

assert text == DEU_SENTENCE

# testing that truncation prevents length-related errors
with pytest.raises(
ValueError, match="The input sequence length must be less than or equal"
):
text, _ = translator(ENG_SENTENCE * 20)

translator = TextTranslator(
generator,
tokenizer,
source_lang="eng_Latn",
target_lang="deu_Latn",
max_source_len=1024,
)
text, _ = translator(ENG_SENTENCE * 20)
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