test_processor_auto.py 1.78 KB
Newer Older
Sylvain Gugger's avatar
Sylvain Gugger committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
# coding=utf-8
# Copyright 2021 the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import os
import tempfile
import unittest

Lysandre Debut's avatar
Lysandre Debut committed
20
from transformers import AutoProcessor, Wav2Vec2Config, Wav2Vec2Processor
Sylvain Gugger's avatar
Sylvain Gugger committed
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46


SAMPLE_PROCESSOR_CONFIG_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), "fixtures")
SAMPLE_PROCESSOR_CONFIG = os.path.join(
    os.path.dirname(os.path.abspath(__file__)), "fixtures/dummy_feature_extractor_config.json"
)
SAMPLE_CONFIG = os.path.join(os.path.dirname(os.path.abspath(__file__)), "fixtures/dummy-config.json")


class AutoFeatureExtractorTest(unittest.TestCase):
    def test_processor_from_model_shortcut(self):
        processor = AutoProcessor.from_pretrained("facebook/wav2vec2-base-960h")
        self.assertIsInstance(processor, Wav2Vec2Processor)

    def test_processor_from_local_directory_from_config(self):
        with tempfile.TemporaryDirectory() as tmpdirname:
            model_config = Wav2Vec2Config()
            processor = AutoProcessor.from_pretrained("facebook/wav2vec2-base-960h")

            # save in new folder
            model_config.save_pretrained(tmpdirname)
            processor.save_pretrained(tmpdirname)

            processor = AutoProcessor.from_pretrained(tmpdirname)

        self.assertIsInstance(processor, Wav2Vec2Processor)