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533 × Eureka!later today or tomorrow, I'll update
I only have like 40 tasks including the example ones
Where is the docker-compose file? It's not at /opt
(again, I didn't place it anywhere, I'm just using the ami)
How did it come to this? I didn't configure anything, I'm using the trains AMI, with the suggested instance type
cluster.routing.allocation.disk.watermark.low:
logger.report_table(title="Inference Data", series="Inference Values", iteration=0, table_plot=inference_table)
nvidia/cuda:10.1-base-ubuntu18.04
So regarding 1, I'm not really sure what is the difference
When running in docker mode what is different the the regular mode? No where in the instructions is nvidia docker a prerequisite, so how exacly will tasks on GPU get executed?
I feel I don't underatand enough of the mechanism to (1) understand the difference between docker mode and not and (2) what is the use casr for each
I prefer we debug on my machine (tell me what you want to check) than create a snippet
Maybe the case is that after start
/ start_locally
the reference to the pipeline task disappears somehow? O_O
I don't even know where trains is coming from... While using the same environment I can't even import trains, see
The only way to change it is to convert apiserver_conf
to a dictionary object ( as_plain_ordered_dict()
) and edit it
Config == conf_obj
no?
This is a part of a bigger process which times quite some time and resources, I hope I can try this soon if this will help get to the bottom of this
` name: XXXXXXXXXX
on:
workflow_dispatch
jobs:
test-monthly-predictions:
runs-on: self-hosted
env:
DATA_DIR: ${{ secrets.RUNNER_DATA_DIR }}
GOOGLE_APPLICATION_CREDENTIALS: ${{ secrets.RUNNER_CREDS }}
steps:
# Checkout
- name: Check out repository code
uses: actions/checkout@v2
# Setup python environment
- name: Setup up python environment using Poetry
run: |
/home/elior/.poetry/bin/poetry env use python3.9
...
moreover I think I found a bug
btw my site packages is false - should it be true? You pasted that but I'm not sure what it should be, in the paste is false but you are asking about true
and the machine I have is 10.2.
I also tried nvidia/cuda:10.2-base-ubuntu18.04 which is the latest
When I said not the expected behavior, I meant that following the instructions on the docs, should lead to downloading the latest version
Even assuming it suspects me, why doesn't the captcha prove my innocence? Isn't it what it is for O_O