Remove repeated prepare_images in processor tests (#33163)

* Remove repeated prepare_images

* Address comments - update docstring; explanatory comment
This commit is contained in:
amyeroberts
2024-09-09 13:20:27 +01:00
committed by GitHub
parent 0574fa668b
commit f745e7d3f9
21 changed files with 140 additions and 304 deletions

View File

@@ -15,21 +15,22 @@ import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available
from ...test_processing_common import ProcessorTesterMixin
if is_vision_available():
from PIL import Image
from transformers import AutoProcessor, BertTokenizer, CLIPImageProcessor, GitProcessor, PreTrainedTokenizerFast
@require_vision
class GitProcessorTest(unittest.TestCase):
class GitProcessorTest(ProcessorTesterMixin, unittest.TestCase):
processor_class = GitProcessor
def setUp(self):
self.tmpdirname = tempfile.mkdtemp()
@@ -51,17 +52,6 @@ class GitProcessorTest(unittest.TestCase):
def tearDown(self):
shutil.rmtree(self.tmpdirname)
def prepare_image_inputs(self):
"""This function prepares a list of PIL images, or a list of numpy arrays if one specifies numpify=True,
or a list of PyTorch tensors if one specifies torchify=True.
"""
image_inputs = [np.random.randint(255, size=(3, 30, 400), dtype=np.uint8)]
image_inputs = [Image.fromarray(np.moveaxis(x, 0, -1)) for x in image_inputs]
return image_inputs
def test_save_load_pretrained_additional_features(self):
processor = GitProcessor(tokenizer=self.get_tokenizer(), image_processor=self.get_image_processor())
processor.save_pretrained(self.tmpdirname)