image-embedding-operator-template/test_image_embedding_operator_template.py

import unittest
from PIL import Image
from torchvision import transforms
from image_embedding_operator_template import ImageEmbeddingOperatorTemplate
from config import DIMENSION, MODEL_NAME, TEST_IMG


class TestImageEmbeddingOperatorTemplate(unittest.TestCase):
    """
    Simple operator test
    """
    img = Image.open(TEST_IMG)
    tfms = transforms.Compose(
        [
            transforms.Resize(256),
            transforms.CenterCrop(224),
            transforms.ToTensor(),
            transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]),
        ]
    )
    img_tensor = tfms(img).unsqueeze(0)

    def test_image_embedding(self):
        self.model_name = MODEL_NAME
        self.dimension = DIMENSION
        op = ImageEmbeddingOperatorTemplate(self.model_name)
        print("The output shape of operator:", op(self.img_tensor)[0].shape)
        assert (1, self.dimension)==op(self.img_tensor)[0].shape


if __name__ == '__main__':
    unittest.main()