unreasonable output

[JimmyZhan1213]

I run the main.py file under example_training(without_GPUTaskScheduler), the training process is no problem. However, when I run main.py under example_training on Windows, in tensorflow1, the project has no output and no error message, so I tried it in the environment of tensorflow2, and finally generated a results folder, which contains a lot of running information, but the worker.log and generate.log under each folder prompt the following: 'start_gpu_task' is not an internal or external command, nor is it a runnable program or batch file. I would like to ask if there is a reason or a solution to this situation?

[fjxmlzn]

How did you install the Python environment and how did you install https://github.com/fjxmlzn/GPUTaskScheduler? start_gpu_task should be available after GPUTaskScheduler is installed

[JimmyZhan1213]

First, I created a DGtf2 environment of python3.7.12 and tensorflow-gpu2.1.0 under anaconda, and then downloaded GPUTaskScheduler and installed it, an error will be reported. I put the folder under example_training and installed it with pip install -e GPUTaskScheduler, and the above mentioned to the result.

[fjxmlzn]

Thanks for the info!

Would you mind sending me an email zinanl AT andrew.cmu.edu? We can debug it there. Thanks!

[JimmyZhan1213]

certainly! thanks for your help!

[H4Njx]

https://github.com/fjxmlzn/DoppelGANger/issues/32#issuecomment-1236025272 @Ezioooooo here is the GPUTaskScheduler install guide: step 1. git clone https://github.com/fjxmlzn/GPUTaskScheduler.git step 2. cd GPUTaskScheduler && pip install -e .

[fjxmlzn]

Closing this issue since it was resolved after installing the libraries correctly.