Closed fjscfy closed 1 month ago
Thanks for your suggestion, we're working on it.
@Yaofang-Liu May I ask are there updates? thanks :)
We tried to do so, but it seems that there are too many packages, which cause many incompatible issues when using Conda or pip for installation. I will upload the requirements.txt right away and take a deep dive into it later.
Feel free to let me know if you have any good suggestions. Many thanks :-)
Now, you could consider using requirements.txt
or environment.yml
to set up the environment.
Now, you could consider using
requirements.txt
orenvironment.yml
to set up the environment.
I am using requirements.txt
and environment.yml
to build environment, but I found there are many package version conflict. Is there any way to update the correct requirements?
Now, you could consider using
requirements.txt
orenvironment.yml
to set up the environment.I am using
requirements.txt
andenvironment.yml
to build environment, but I found there are many package version conflict. Is there any way to update the correct requirements?
Many thanks for raising such a good issue. Environment setup with Conda is supported now please check here .
Now, you could consider using
requirements.txt
orenvironment.yml
to set up the environment.I am using
requirements.txt
andenvironment.yml
to build environment, but I found there are many package version conflict. Is there any way to update the correct requirements?Many thanks for raising such a good issue. Environment setup with Conda is supported now please check here .
Thanks for reply. But there are still many conflicts in environment.yml. For example:
The conflict is caused by:
The user requested keras==2.13.1
tensorflow 2.12.0 depends on keras<2.13 and >=2.12.0
Now, you could consider using
requirements.txt
orenvironment.yml
to set up the environment.I am using
requirements.txt
andenvironment.yml
to build environment, but I found there are many package version conflict. Is there any way to update the correct requirements?Many thanks for raising such a good issue. Environment setup with Conda is supported now please check here .
Thanks for reply. But there are still many conflicts in environment.yml. For example:
The conflict is caused by: The user requested keras==2.13.1 tensorflow 2.12.0 depends on keras<2.13 and >=2.12.0
It should be okay now. Many thanks for raising this issue!
Now, you could consider using
requirements.txt
orenvironment.yml
to set up the environment.I am using
requirements.txt
andenvironment.yml
to build environment, but I found there are many package version conflict. Is there any way to update the correct requirements?Many thanks for raising such a good issue. Environment setup with Conda is supported now please check here .
Thanks for reply. But there are still many conflicts in environment.yml. For example:
The conflict is caused by: The user requested keras==2.13.1 tensorflow 2.12.0 depends on keras<2.13 and >=2.12.0
It should be okay now. Many thanks for raising this issue!
Thanks a lot! There is no problem in environment.yml now.
Hello, I'd like to ask if it's possible to run your code metrics without using Docker, or could you share the requirements.txt for your environment?