I see, ok!
I will try that out.
Another thing I noticed: none of my pipeline tasks are reporting these graphs, regardless of runtime. I guess this line would also fix that?
yes, I just ran steps 6-12 again from https://allegro.ai/docs/deploying_trains/trains_server_linux_mac/
if i enqueue the script to the services
queue but run_as_service
is false, what happens?
right, seems to have worked now!
AgitatedDove14 I noticed a lot of my tasks don't contain these graphs though...
tagging @<1523701205467926528:profile|AgitatedDove14> here just in case 😅
platform: "tensorflow_savedmodel" input [ { name: "dense_input" data_type: TYPE_FP32 dims: [-1, 784] } ] output [ { name: "activation_2" data_type: TYPE_FP32 dims: [-1, 10] } ]
The package on my index is called data-service-client
, see the log below:Looking in indexes:
,
`
WARNING: The repository located at unicorn is not a trusted or secure host and is being ignored. If this repository is available via HTTPS we recommend you use HTTPS instead, otherwise you may silence this warning and allow it anyway with '--trusted-host unicorn'.
ERROR: Could not find a version that satisfies the requirement data-service-client==1.0.0 (from -r /tmp/cached-reqs1...
Same thing SuccessfulKoala55 😞
I am tagging AgitatedDove14 since I sort of need an answer asap...!
sure. Removing the task.connect(args_)
does not fix my situation
I can do curl
http://localhost:8080 but it's a remote server so unless I do X forwarding I can't browse it
Hi SuccessfulKoala55 I am having some issues with this. I have put a concurrency limit of 2 and I can see 3 workers running
I understand! this is my sysadmin message:
"if nothing else, they could publish a new elasticsearch image of 7.6.2 (ex. 7.6.2-1) which uses a newer patched version of JDK (1.13.x but newer than 1.13.0_2)"
"this means the elasticsearch feature set remains the same. and JDK versions are usually drop-in replacements when on the same feature level (ex. 1.13.0_2 can be replaced by 1.13.2)"
@<1523701087100473344:profile|SuccessfulKoala55> hey Jake, how do i check how many envs it caches? doing ls -la .clearml/venvs-cache
gives me two folders
so it tries to find it under /usr/bin/python/
I assume?