But where do you manually set the name of each task in this code? the .component has a name argument you can provide

This is a minimal comet example. I'm afraid I don't know what it does under the hood.. There are no callbacks on the metrics tracked in model.fit and yet if you check out your project in the website, your training and validation losses are tracked automatically, live.

https://www.comet.ml/docs/python-sdk/keras/

right, seems to have worked now!

I'm on Ubuntu 18.04.3

ok, thanks Jake!

ok i think i know why it happens!

when an agent launches a task, it builds a venv, copies the code, runs it, etc. in my case, the code writes files (such as data it downloaded, or model files, etc) and writes them in subfolders. I'm interested in recovering the entire folder structure.

this is because if I run a different task, everything from the previous task is overwritten.

furthermore, I need the folder structure for other things downstream

i can't get some sort of response from curl

api_server:

{"detail":"Error processing request: [Errno 2] No such file or directory: '~/.clearml'"}

they are taking longer than 30 secs, but admittedly not much longer: 1-3 minutes

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] } ]

I am curious about the updates on version 1.0.0, where can I see some info regarding this?
Passing state information from pre to postprocessing and the dynamic preprocessing code thing, for example

Not sure why it tries to establish some http connection, or why it's / ...

Hi SuccessfulKoala55 , do you have an update on this?

https://allegro.ai/clearml/docs/rst/references/clearml_python_ref/dataset_module/dataset_dataset.html#clearml.Dataset.create

(base) emilio@unicorn:~$ docker version Client: Docker Engine - Community Version: 19.03.13 API version: 1.40 Go version: go1.13.15 Git commit: 4484c46d9d Built: Wed Sep 16 17:02:36 2020 OS/Arch: linux/amd64 Experimental: false (base) emilio@unicorn:~$ docker-compose --version docker-compose version 1.17.1, build unknown

unicorn is an alias for the ip of the machine the server is hosted on

Absolutely, I could try but I'm not sure what it entails...

Ok gotchu. I'll do that as soon as I can.

And then you'll hook it

Thanks!!

yes

SuccessfulKoala55 I can't get it to work... I tried using the pip conf locally and it works, but the agent doesn't seem to be able to install the package

okay. what do you suggest?

yes, I just ran steps 6-12 again from https://allegro.ai/docs/deploying_trains/trains_server_linux_mac/

hi SuccessfulKoala55 with the clearml server update, does it use a newer ES docker?

sure, thanks!

web_server: