cyclegan | Unpaired Image-to-Image Translation using Cycle | Translation library

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

CycleGan, Buffer for Images

It says:

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 study this tutorial https://www.tensorflow.org/tutorials/generative/cyclegan and the completed model is well worked on windows. Then I convert this tf model to mlmodel, but the model's output(MultyArray) has empty shape. How do i solve this problem...? (This model's EPOCH is 1)

computer::: windows10 / tensorflow and -gpu 2.2 / tfcoreml 1.1

this is convert code

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:

new here. I am trying to create a custom optimizer in PyTorch, where the backprop takes place in a meta RL policy, with the policy receiving the model parameters, and outputting the desired model parameters. However, I am seeing the above error. My models work fine on Adam and SGD, but not my optimizer.

Code:

I'm trying to download some data using a bash script in a Jupyter notebook and having some problems.

I added quotes to the file paths after I received a 'SyntaxError: unexpected character after line continuation character' error.

However, I'm stumped on how to fix the same error on the Wget command.

This is the contents of the cell as I have it now.

I'm very new to TensorFlow 2.0.

I wrote a code for Cyclic GAN as follows (I extract code only for building generator neural network):

I am currently looking into CycleGAN and im using simontomaskarlssons github repository as my baseline. My problem arises when the training is done and I want to use the saved model to generate new samples. Here the model architecture for the loaded model are different from the initialized generator. The direct link for the saveModel function is here.

When I initialize the generator that does the translation from domain A to B the summary looks like the following (line in github). This is as expected since my input image is (140,140,1) and I am expecting an output image as (140,140,1):