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Remove repeated prepare_images in processor tests (#33163)

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* 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
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15
tests/models/grounding_dino/test_processor_grounding_dino.py
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@@ -18,7 +18,6 @@ import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import BertTokenizer, BertTokenizerFast, GroundingDinoProcessor
@@ -35,8 +34,6 @@ if is_torch_available():
from transformers.models.grounding_dino.modeling_grounding_dino import GroundingDinoObjectDetectionOutput
if is_vision_available():
from PIL import Image
from transformers import GroundingDinoImageProcessor
@@ -96,18 +93,6 @@ class GroundingDinoProcessorTest(ProcessorTesterMixin, unittest.TestCase):
def tearDown(self):
shutil.rmtree(self.tmpdirname)
# Copied from tests.models.clip.test_processor_clip.CLIPProcessorTest.prepare_image_inputs
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 get_fake_grounding_dino_output(self):
torch.manual_seed(42)
return GroundingDinoObjectDetectionOutput(