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remove failing tests and clean FE files (#27414)

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* remove failing tests and clean FE files

* remove same similar text from tvlt
This commit is contained in:
Yoach Lacombe
2023-11-09 18:35:42 +00:00
committed by GitHub
parent e38348ae8f
commit 51a98c40ee
4 changed files with 2 additions and 78 deletions
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34
tests/models/tvlt/test_feature_extraction_tvlt.py
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@@ -15,15 +15,13 @@
""" Testing suite for the TVLT feature extraction. """
import itertools
import os
import random
import tempfile
import unittest
import numpy as np
from transformers import TvltFeatureExtractor, is_datasets_available
from transformers.testing_utils import check_json_file_has_correct_format, require_torch, require_torchaudio
from transformers.testing_utils import require_torch, require_torchaudio
from transformers.utils.import_utils import is_torch_available
from ...test_sequence_feature_extraction_common import SequenceFeatureExtractionTestMixin
@@ -123,36 +121,6 @@ class TvltFeatureExtractionTest(SequenceFeatureExtractionTestMixin, unittest.Tes
self.assertTrue(hasattr(feature_extractor, "chunk_length"))
self.assertTrue(hasattr(feature_extractor, "sampling_rate"))
def test_feat_extract_from_and_save_pretrained(self):
feat_extract_first = self.feature_extraction_class(**self.feat_extract_dict)
with tempfile.TemporaryDirectory() as tmpdirname:
saved_file = feat_extract_first.save_pretrained(tmpdirname)[0]
check_json_file_has_correct_format(saved_file)
feat_extract_second = self.feature_extraction_class.from_pretrained(tmpdirname)
dict_first = feat_extract_first.to_dict()
dict_second = feat_extract_second.to_dict()
mel_1 = dict_first.pop("mel_filters")
mel_2 = dict_second.pop("mel_filters")
self.assertTrue(np.allclose(mel_1, mel_2))
self.assertEqual(dict_first, dict_second)
def test_feat_extract_to_json_file(self):
feat_extract_first = self.feature_extraction_class(**self.feat_extract_dict)
with tempfile.TemporaryDirectory() as tmpdirname:
json_file_path = os.path.join(tmpdirname, "feat_extract.json")
feat_extract_first.to_json_file(json_file_path)
feat_extract_second = self.feature_extraction_class.from_json_file(json_file_path)
dict_first = feat_extract_first.to_dict()
dict_second = feat_extract_second.to_dict()
mel_1 = dict_first.pop("mel_filters")
mel_2 = dict_second.pop("mel_filters")
self.assertTrue(np.allclose(mel_1, mel_2))
self.assertEqual(dict_first, dict_second)
def test_call(self):
# Initialize feature_extractor
feature_extractor = self.feature_extraction_class(**self.feat_extract_dict)