File size: 8,228 Bytes
e0be88b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 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 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 |
# Copyright 2024 HuggingFace Inc.
#
# 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 unittest
import numpy as np
from transformers import is_torch_available, is_vision_available
from transformers.processing_utils import _validate_images_text_input_order
from transformers.testing_utils import require_torch, require_vision
if is_vision_available():
import PIL
if is_torch_available():
import torch
@require_vision
class ProcessingUtilTester(unittest.TestCase):
def test_validate_images_text_input_order(self):
# text string and PIL images inputs
images = PIL.Image.new("RGB", (224, 224))
text = "text"
# test correct text and images order
valid_images, valid_text = _validate_images_text_input_order(images=images, text=text)
self.assertEqual(valid_images, images)
self.assertEqual(valid_text, text)
# test incorrect text and images order
valid_images, valid_text = _validate_images_text_input_order(images=text, text=images)
self.assertEqual(valid_images, images)
self.assertEqual(valid_text, text)
# text list of string and numpy images inputs
images = np.random.rand(224, 224, 3)
text = ["text1", "text2"]
# test correct text and images order
valid_images, valid_text = _validate_images_text_input_order(images=images, text=text)
self.assertTrue(np.array_equal(valid_images, images))
self.assertEqual(valid_text, text)
# test incorrect text and images order
valid_images, valid_text = _validate_images_text_input_order(images=text, text=images)
self.assertTrue(np.array_equal(valid_images, images))
self.assertEqual(valid_text, text)
# text nested list of string and list of pil images inputs
images = [PIL.Image.new("RGB", (224, 224)), PIL.Image.new("RGB", (224, 224))]
text = [["text1", "text2, text3"], ["text3", "text4"]]
# test correct text and images order
valid_images, valid_text = _validate_images_text_input_order(images=images, text=text)
self.assertEqual(valid_images, images)
self.assertEqual(valid_text, text)
# test incorrect text and images order
valid_images, valid_text = _validate_images_text_input_order(images=text, text=images)
self.assertEqual(valid_images, images)
self.assertEqual(valid_text, text)
# list of strings and list of numpy images inputs
images = [np.random.rand(224, 224, 3), np.random.rand(224, 224, 3)]
text = ["text1", "text2"]
# test correct text and images order
valid_images, valid_text = _validate_images_text_input_order(images=images, text=text)
self.assertTrue(np.array_equal(valid_images[0], images[0]))
self.assertEqual(valid_text, text)
# test incorrect text and images order
valid_images, valid_text = _validate_images_text_input_order(images=text, text=images)
self.assertTrue(np.array_equal(valid_images[0], images[0]))
self.assertEqual(valid_text, text)
# list of strings and list of url images inputs
images = ["https://url1", "https://url2"]
text = ["text1", "text2"]
# test correct text and images order
valid_images, valid_text = _validate_images_text_input_order(images=images, text=text)
self.assertEqual(valid_images, images)
self.assertEqual(valid_text, text)
# test incorrect text and images order
valid_images, valid_text = _validate_images_text_input_order(images=text, text=images)
self.assertEqual(valid_images, images)
self.assertEqual(valid_text, text)
# list of strings and nested list of numpy images inputs
images = [[np.random.rand(224, 224, 3), np.random.rand(224, 224, 3)], [np.random.rand(224, 224, 3)]]
text = ["text1", "text2"]
# test correct text and images order
valid_images, valid_text = _validate_images_text_input_order(images=images, text=text)
self.assertTrue(np.array_equal(valid_images[0][0], images[0][0]))
self.assertEqual(valid_text, text)
# test incorrect text and images order
valid_images, valid_text = _validate_images_text_input_order(images=text, text=images)
self.assertTrue(np.array_equal(valid_images[0][0], images[0][0]))
self.assertEqual(valid_text, text)
# nested list of strings and nested list of PIL images inputs
images = [
[PIL.Image.new("RGB", (224, 224)), PIL.Image.new("RGB", (224, 224))],
[PIL.Image.new("RGB", (224, 224))],
]
text = [["text1", "text2, text3"], ["text3", "text4"]]
# test correct text and images order
valid_images, valid_text = _validate_images_text_input_order(images=images, text=text)
self.assertEqual(valid_images, images)
self.assertEqual(valid_text, text)
# test incorrect text and images order
valid_images, valid_text = _validate_images_text_input_order(images=text, text=images)
self.assertEqual(valid_images, images)
self.assertEqual(valid_text, text)
# None images
images = None
text = "text"
# test correct text and images order
valid_images, valid_text = _validate_images_text_input_order(images=images, text=text)
self.assertEqual(images, None)
self.assertEqual(text, text)
# test incorrect text and images order
valid_images, valid_text = _validate_images_text_input_order(images=text, text=images)
self.assertEqual(images, None)
self.assertEqual(text, text)
# None text
images = PIL.Image.new("RGB", (224, 224))
text = None
# test correct text and images order
valid_images, valid_text = _validate_images_text_input_order(images=images, text=text)
self.assertEqual(images, images)
self.assertEqual(text, None)
# test incorrect text and images order
valid_images, valid_text = _validate_images_text_input_order(images=text, text=images)
self.assertEqual(images, images)
self.assertEqual(text, None)
# incorrect inputs
images = "text"
text = "text"
with self.assertRaises(ValueError):
_validate_images_text_input_order(images=images, text=text)
@require_torch
def test_validate_images_text_input_order_torch(self):
# text string and torch images inputs
images = torch.rand(224, 224, 3)
text = "text"
# test correct text and images order
valid_images, valid_text = _validate_images_text_input_order(images=images, text=text)
self.assertTrue(torch.equal(valid_images, images))
self.assertEqual(valid_text, text)
# test incorrect text and images order
valid_images, valid_text = _validate_images_text_input_order(images=text, text=images)
self.assertTrue(torch.equal(valid_images, images))
self.assertEqual(valid_text, text)
# text list of string and list of torch images inputs
images = [torch.rand(224, 224, 3), torch.rand(224, 224, 3)]
text = ["text1", "text2"]
# test correct text and images order
valid_images, valid_text = _validate_images_text_input_order(images=images, text=text)
self.assertTrue(torch.equal(valid_images[0], images[0]))
self.assertEqual(valid_text, text)
# test incorrect text and images order
valid_images, valid_text = _validate_images_text_input_order(images=text, text=images)
self.assertTrue(torch.equal(valid_images[0], images[0]))
self.assertEqual(valid_text, text)
|