AgitatedDove14
I get this log but there is nothing show up in the UI.
2020-09-10 09:15:06,914 - trains.Task - INFO - Waiting for repository detection and full package requirement analysis ======> WARNING! UNCOMMITTED CHANGES IN REPOSITORY origin <====== 2020-09-10 09:15:10,378 - trains.Task - INFO - Finished repository detection and package analysis
EnviousStarfish54 could you send the conda / pip environment?
Maybe that's the diff between machine A/B ?
And still a difference between A/B , one detecting the repo the other does not?
Do you get the repository detection or this section is empty too?
Hi EnviousStarfish54 ,
Do you get any message regarding the repository detection at the end of the task? Does it log Waiting for repository detection and full package requirement analysis ?
EnviousStarfish54 something is also off in the git detection, it has not remote address, it just says "origin"
Any chance you have no git server ?
Regrading the installed packages, any chance you can send a sample code for me to debug ?
conda create -n trains python==3.7.5
pip install trains==0.16.2.rc0
this is a bit weird, I have two Window machine, and both point to the public server.
AgitatedDove14 Git is fine, I just create a local repository for this. The code is two line
from trains import Task
task = Task.init(project_name="my project", task_name="my task3")
EnviousStarfish54 we just fixed an issue that relates to "installed packages" on windows.
RC is due to be release in the upcoming days, I'll keep you posted
let me know how can I provide better debug message
This log does not always show up, even tho it is logged when I run it on Machine B. In contrast, I run it on Machine A, this message did show up, but nothing is logged.
2020-09-10 09:15:06,914 - trains.Task - INFO - Waiting for repository detection and full package requirement analysis ======> WARNING! UNCOMMITTED CHANGES IN REPOSITORY origin <====== 2020-09-10 09:15:10,378 - trains.Task - INFO - Finished repository detection and package analysis
one does record the package, the other does not
I create a fresh conda env and install python for both machine
EnviousStarfish54 a fix is already available in the latest RC
Could you verify it solves your issue as well?pip install trains==0.16.2rc0