Tensorflow not found about learning-to-fly HOT 10 OPEN

Hi thanks for reaching out! Which commands are you using and what are the error messages that you get?

from learning-to-fly.

docker run -it --rm -p 8000:8000 arpllab/learning_to_fly

Waiting for Tensorboard
TensorFlow installation not found - running with reduced feature set.

NOTE: Using experimental fast data loading logic. To disable, pass
"--load_fast=false" and report issues on GitHub. More details:
tensorflow/tensorboard#4784

TensorBoard 2.12.2 at http://b1d7ad5cd59a:6006/ (Press CTRL+C to quit)
Running command:
Note: This executable should be executed in the context (working directory) of the main repo e.g. ./build/src/rl_environments_multirotor_ui 0.0.0.0 8000
Web interface coming up at: http://0.0.0.0:8000

but no web interface after that.

from learning-to-fly.

This

TensorFlow installation not found - running with reduced feature set.

is no problem and expected. Tensorboard (which is only used to visualize the training logs) tries to load TensorFlow but it is not required. It is just part of the Docker image but not used in this example.

When you go to http://0.0.0.0:8000/ with your web-browser after it shows:

Web interface coming up at: http://0.0.0.0:8000/

is the simulator UI showing up?

If you want to try Tensorboard you can use

docker run -it --rm -p 6006:6006 arpllab/learning_to_fly training_headless

as described in the readme

You should be able to view Tensorboard at http://0.0.0.0:6006

from learning-to-fly.

yes, site not reachable.

from learning-to-fly.

I just updated my last message with more details. But it is quite weird that it is not reachable for you 🤔

Can you try this to see if it is a problem with the docker setup:

docker run -it --rm -p 8000:8000 python python -m http.server

from learning-to-fly.

docker run -it --rm -p 6006:6006 arpllab/learning_to_fly training_headless
with this its running.

Step: 0
Saving actor checkpoint "checkpoints/multirotor_td3/2024_02_10_21_52_15_d+o+a+r+h+c+f+w+e+_000/actor_000000000000000.h5"
Saving checkpoint at: "checkpoints/multirotor_td3/2024_02_10_21_52_15_d+o+a+r+h+c+f+w+e+_000/actor_000000000000000.h"
Step: 0 (mean return: -163.123, mean episode length: 41.089)
Step: 10000
Step: 10000 (mean return: -163.071, mean episode length: 41.447)
Step: 20000
Step: 20000 (mean return: -163.396, mean episode length: 41.333)
Step: 30000
Step: 30000 (mean return: -162.777, mean episode length: 41.496)
Step: 40000
Step: 40000 (mean return: -216.718, mean episode length: 39.383)
Step: 50000
Step: 50000 (mean return: -200.716, mean episode length: 42.801)
...

docker run -it --rm -p 8000:8000 python python -m http.server

Unable to find image 'python:latest' locally
latest: Pulling from library/python
6a299ae9cfd9: Pull complete
e08e8703b2fb: Pull complete
68e92d11b04e: Pull complete
5b9fe7fef9be: Pull complete
09864a904dd0: Pull complete
a21b4eeffed1: Pull complete
14fa1d442750: Pull complete
4c1733c93f94: Pull complete
Digest: sha256:5eda1a3e78a90e7542c221cf525233f4b958a5778e61bcc350cc1e0d2bcf7ecf
Status: Downloaded newer image for python:latest
Serving HTTP on 0.0.0.0 port 8000 (http://0.0.0.0:8000/) ...

but no web page

from learning-to-fly.

If you can't see a webpage even with docker run -it --rm -p 8000:8000 python python -m http.server (as a minimal test case) I think there is some issue with your Docker setup (maybe a firewall or something like that?).

from learning-to-fly.

Thank you very much for your help!
But no chance so far, checked the firewall ... I dont know whats my fault
... The headless says this (see below) and endet with no errors and a complete message, but there is noch checkpoint directory after that?!
...
Step: 80000 (mean return: -179.525, mean episode length: 53.071)
Step: 90000
Step: 90000 (mean return: -197.249, mean episode length: 58.506)
Step: 100000
Saving actor checkpoint "checkpoints/multirotor_td3/2024_02_11_19_15_38_d+o+a+r+h+c+f+w+e+_000/actor_000000000100000.h5"
Saving checkpoint at: "checkpoints/multirotor_td3/2024_02_11_19_15_38_d+o+a+r+h+c+f+w+e+_000/actor_000000000100000.h"
Step: 100000 (mean return: -208.098, mean episode length: 59.25)
Step: 110000
Step: 110000 (mean return: -182.684, mean episode length: 58.585)
...

from learning-to-fly.

For that you should mount a local checkpoint directory into the container using e.g. -v $(pwd)/checkpoints:/learning_to_fly/checkpoints.

mkdir checkpoints
docker run -it --rm -p 6006:6006 -v $(pwd)/checkpoints:/learning_to_fly/checkpoints arpllab/learning_to_fly training_headless

This creates checkpoints in the local checkpoint dir for me and I can also observe the Tensorboard logs at http://0.0.0.0:6006

from learning-to-fly.

Thanks! Now I have a firmware.

It's not possible do use it in a simulation like webots, right?

from learning-to-fly.