when I change the size of input image, may I need to change the value of "g_conv_dim" and "d_conv_dim"

There seems to be some little bugs in these examples. For example
for t in range(iters): labeled_indices = (np.random.randint(0, n_labeled, size=batch_size)) x_labeled_batch = x_labeled[labeled_indices]

It throws the error that
TypeError: Only integers, slices (:), ellipsis (...), tf.newaxis (None`) and scalar tf.int32/tf.int64 tensors are valid indices, got array([17,

I read the discussion in OpenReview on the sensitivity of the FID score to the min-max-normalization of CIFAR-10 images.

The authors thought it was the min-max normalization carried out by imsave that changes the pixel values of images. However, I find that it is not the case.

In the reference guide of the old version of scipy (https://docs.scipy.org/doc/scipy-1.0.0/reference/generated/scipy

I have followed the README file closely, using the same hyperparameters and the provided text descriptions in text.txt, however the results turn out to be as follow:

a flower with red petals which are pointed

many pointed petals
![image](https://user-images.githubusercontent.com/2