pix2pix | Tensorflow implementation of pix2pix for audio | Computer Vision library

I think there is an error in line 53 of the following code:

CycleGan, Buffer for Images

It says:

zi2zi, a Chinese alphabet generating GAN uses pix2pix for generating images. I also have seen many other applications using pix2pix for tasks that aren't related to image-to image translation. I compared the code of zi2zi with regular pix2pix, and found some implementation that I couldn't understand.

1. What is the target source and where is the random noise? Unlike image-to-image translation tasks where there exists an obvious target image, what is supposed to be the target source for character generation?

2. Suppose the output of the encoder portion of the unet is the latent space, then how are we supposed to set the latent space to a certain value for evaluation, exploration of the latent space while the decoder is effected by skip-connections of the encoder network?

3. I want to ask how pix2pix generalizes with these types of problems pix2pix isn't meant to be a powerful solution.

i am doing some image segmentation whit deep learning, when i do it on fp32 i get val acc about 97% but when i try to train on fp16 i get stuck on 21% i've changed the learning rate and the epsilon and some times i get other acc but always stuck like this

this is my code

In my Notebook's first cell, I wrote :

I'm following this tutorial https://www.tensorflow.org/tutorials/generative/pix2pix but I'm trying to make my own input pipelines. I have a 4d numpy array (Num samples, Height, Width, Channels) and I use ds = tf.data.Dataset.from_tensor_slices() to create my dataset. However, when I call ds.take(1) it doesn't have the a dimension for the batch size. I can fix this by inserting tf.expand_dims() where necessary but I feel like there should be a way to do this in the dataset.

I am trying to code along with Cycle_gan Tensorflow

I received an error saying:

I am trying to convert pix2pix to a pb or onnx that can run in Lens Studio. Lens studio has strict requirements for the models. I am trying to export this pytorch model to onnx using this guide provided by lens studio. The issue is the pytorch model found here uses its own base class, when in the example it uses Module.nn, and therefore doesnt have methods/variables that the torch.onnx.export function needs to run. So far Ive run into its missing a variable called training and a method called train

Would it be worth it to try to modify the base model, or should I try to build it from scratch using nn.Module? Is there a way to make the pix2pix model inherit from both the abstract base class and nn.module? Am I not understanding the situation? The reason why I want to do it using the lens studio tutorial is because I have gotten it to export onnx different ways but Lens Studio wont accept those for various reasons.

Also this is my first time asking a SO question (after 6 years of coding), let me know if I make any mistakes and I can correct them. Thank you.

This is the important code from the tutorial creating a pytorch model for Lens Studio:

I have a link to a public Google Drive hosted file:

https://drive.google.com/uc?id=19VsarMcYRNPLTDr6b6ABJyY8JUeBueL8&export=download

Below is a .sh script that works for a different file and link:

I want to copy some file from a remote Linux system to my Windows PC using pscp (from PuTTY). I wrote a small script that should copy all .png files in a directory on my server: