-
Notifications
You must be signed in to change notification settings - Fork 6
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Nat behav #113
Nat behav #113
Conversation
…les in arena_examples.ipynb
…eird things to the jupyter
Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #113 +/- ##
==========================================
- Coverage 55.18% 53.31% -1.88%
==========================================
Files 40 42 +2
Lines 3441 3588 +147
==========================================
+ Hits 1899 1913 +14
- Misses 1542 1675 +133 ☔ View full report in Codecov by Sentry. |
sequence_length=20, | ||
batch_size=32, | ||
): | ||
self.sequence_length = sequence_length |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
My experience playing with this at some point is that I was quite dependant on the size of the room. Is there a way to make this more general ?
# v = torch.tensor(v, dtype=torch.float32).transpose(0, 1) | ||
|
||
pos = np.stack([traj["target_x"], traj["target_y"]], axis=-1) | ||
# pos = torch.tensor(pos, dtype=torch.float32).transpose(0, 1) |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Clean the comments :)
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Yes
Adding naturalistic behavior to the main repo, as in the tutorial for the neuro ai summer school