Unable to use different number of images

Hello. I am using hd - celeba 384 dataset with provided 384_shortcut1_inject1_none_hd model. I am trying to use custom number of images instead of using all 202599 images. I tried to do the following: modify list_attr_celeba.txt file to only include first 20 images and put these 20 images in ./data/img_crop_celeba/*.jpg. However, this is the error I get:

TypeError: Input 'filename' of 'ReadFile' Op has type float32 that does not match expected type of string.

I also tried to train with only 20 images and get the same error. I get no errors when running train/test for all 202599 images.

[CastellanLiu]

This TypeError may be caused by imporper list_attr_celeba.txt file (your custom list_attr_celeba.txt should have 40 labels in each line as the raw one). Also note that you should modify the numbers in data.py to fit your dataset. https://github.com/LynnHo/AttGAN-Tensorflow/blob/1792df6851c7e4d09bf0f1c9f5155fd7b0618d18/data.py#L197-L208

[githubusername001]

That makes sense, thank you. Also, not to spam issues I will just ask here. What do I need to modify to save each new image separately rather than all in one file. I tried changing some code in lines 84 - 105 in test.py. However, I get different errors such as 'Tensor' object has no attribute.