SUMIN/HuggingFace_transformer
1
0
Fork 0
Code Issues Pull Requests Actions 7 Packages Projects Releases Wiki Activity

Fix test_word_time_stamp_integration for Wav2Vec2ProcessorWithLMTest (#22800)

Browse Source 
* fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar
2023-04-17 12:41:55 +02:00
committed by GitHub
parent 28f26c107b
commit 76d24f1a83
1 changed files with 3 additions and 10 deletions
Download Patch File Download Diff File Expand all files Collapse all files

13
tests/models/wav2vec2_with_lm/test_processor_wav2vec2_with_lm.py
View File

@@ -23,7 +23,6 @@ from pathlib import Path
import datasets
import numpy as np
from datasets import load_dataset
from packaging import version
from parameterized import parameterized
from transformers import AutoProcessor
@@ -461,7 +460,7 @@ class Wav2Vec2ProcessorWithLMTest(unittest.TestCase):
for d in output["word_offsets"]
]
EXPECTED_TEXT = "WHY DOES A MILE SANDRA LOOK LIKE SHE WANTS TO CONSUME JOHN SNOW ON THE RIVER AT THE WALL"
EXPECTED_TEXT = "WHY DOES MILISANDRA LOOK LIKE SHE WANTS TO CONSUME JOHN SNOW ON THE RIVER AT THE WALL"
# output words
self.assertEqual(" ".join(self.get_from_offsets(word_time_stamps, "word")), EXPECTED_TEXT)
@@ -472,14 +471,8 @@ class Wav2Vec2ProcessorWithLMTest(unittest.TestCase):
end_times = torch.tensor(self.get_from_offsets(word_time_stamps, "end_time"))
# fmt: off
expected_start_tensor = torch.tensor([1.42, 1.64, 2.12, 2.26, 2.54, 3.0, 3.24, 3.6, 3.8, 4.1, 4.26, 4.94, 5.28, 5.66, 5.78, 5.94, 6.32, 6.54, 6.66])
# TODO(Patrick): This if-else version statement should be removed once
# https://github.com/huggingface/datasets/issues/4889 is resolved
if version.parse(version.parse(torch.__version__).base_version) >= version.parse("1.12.0"):
expected_end_tensor = torch.tensor([1.54, 1.88, 2.14, 2.46, 2.9, 3.16, 3.54, 3.72, 4.02, 4.18, 4.76, 5.16, 5.56, 5.7, 5.86, 6.2, 6.38, 6.62, 6.94])
else:
expected_end_tensor = torch.tensor([1.54, 1.88, 2.14, 2.46, 2.9, 3.18, 3.54, 3.72, 4.02, 4.18, 4.76, 5.16, 5.56, 5.7, 5.86, 6.2, 6.38, 6.62, 6.94])
expected_start_tensor = torch.tensor([1.4199, 1.6599, 2.2599, 3.0, 3.24, 3.5999, 3.7999, 4.0999, 4.26, 4.94, 5.28, 5.6599, 5.78, 5.94, 6.32, 6.5399, 6.6599])
expected_end_tensor = torch.tensor([1.5399, 1.8999, 2.9, 3.16, 3.5399, 3.72, 4.0199, 4.1799, 4.76, 5.1599, 5.5599, 5.6999, 5.86, 6.1999, 6.38, 6.6199, 6.94])
# fmt: on
self.assertTrue(torch.allclose(start_times, expected_start_tensor, atol=0.01))