Some questions about trainer for a beginner
NurseryRhymeA opened this issue · 8 comments
Hi,I would like to run your code on my computer. I am using the Windows platform, and I have successfully installed the required dependencies. However, I am facing some issues with the 'trainer' module and I am hoping to receive your guidance to resolve them.
When I run the code, I'm getting errors in parts where references like 'target: trainer.models.layoutdm.LayoutDM' and 'from trainer' are used. The 'trainer' folder is located under 'src/trainer/'. So, I'm curious why I don't need to use absolute or relative paths to reference them. Is this a feature of Hydra or Poetry?Or could it be a difference between Linux and Windows platforms?
As a beginner who has recently started delving into these topics, I apologize if my question seems naive or silly. Nevertheless, it has been bothering me for quite some time, and I would greatly appreciate your assistance and insights. Thank you very much in advance.
Hi, thank you for your interest in our repo and for reporting many details, which helped me identify the problem faster!
I suspect the dependencies are not properly installed, did you make your env. by conda? Could you check and print the result of the following command?
$ poetry run which python
$ poetry run python -m pip freeze | grep trainer
I'm curious why I don't need to use absolute or relative paths to reference them
If one successfully installs the dependencies, trainer is installed as a package (see packages features in poetry and how we specify in pyproject.toml). As you may know, packaging alleviates some troubles regarding absolute/relative import in Python (see Python Packaging User Guide).
Could we train layoutdm on only one of the condition tasks like: c->p+s, c+s->p, refinement, ...., couldn't we ?
@PhucHau0312 Yes, it is possible by keeping the conditional information fixed throughout the forward / reverse process.
@PhucHau0312 Yes, it is possible by keeping the conditional information fixed throughout the forward / reverse process.
Thank you. I have one more question that loss of layoutdm combines all condition tasks, right ?
loss of layoutdm combines all condition tasks, right ?
If you optimize the model for a pre-defined set of conditional tasks, the answer is yes.
keeping the conditional information fixed throughout the forward / reverse process.
@naoto0804 I didn't see the conditional information argument throughout the training process. Could you show me ?
Hi, thank you for your interest in our repo and for reporting many details, which helped me identify the problem faster!
I suspect the dependencies are not properly installed, did you make your env. by conda? Could you check and print the result of the following command?
$ poetry run which python $ poetry run python -m pip freeze | grep trainerI'm curious why I don't need to use absolute or relative paths to reference them
If one successfully installs the dependencies,
traineris installed as a package (see packages features in poetry and how we specify in pyproject.toml). As you may know, packaging alleviates some troubles regarding absolute/relative import in Python (see Python Packaging User Guide).
I sincerely appreciate your response. Over the past few days, I installed Ubuntu and made attempts on it. Although the installation of Poetry failed due to my installation of Anaconda, fortunately, this may have helped me identify the issue. I suspect it is a path problem caused by Anaconda, as there were error messages related to it. Even after uninstalling Anaconda, I still encounter related path issues.I will continue my attempts to resolve it.
Your answer has been of tremendous help to me as a beginner. I don't know how to express my gratitude, but thank you very much.
Feel free to re-open!