Skip to content
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.

Sign up for GitHub

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

Jump to bottom

remove: shuffle=False option #6886

Merged
merged 4 commits into from
Aug 18, 2023
Merged

remove: shuffle=False option #6886

Changes from 2 commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
beb2625
remove: shuffle=False option
AmirAflak Aug 17, 2023
f1c3ef7
remove(DistributedWeightedRandomSampler): shuffle param doc
AmirAflak Aug 17, 2023
808acd4
[MONAI] code formatting
monai-bot Aug 17, 2023
1382b8d
Update adversarial_loss.py - unblock style
wyli Aug 18, 2023
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 1 addition & 3 deletions monai/data/samplers.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -81,7 +81,6 @@ class DistributedWeightedRandomSampler(DistributedSampler):
by default, `world_size` is retrieved from the current distributed group.
rank: rank of the current process within `num_replicas`. by default,
`rank` is retrieved from the current distributed group.
shuffle: if `True`, sampler will shuffle the indices, default to True.
kwargs: additional arguments for `DistributedSampler` super class, can be `seed` and `drop_last`.

"""
Expand All @@ -95,15 +94,14 @@ def __init__(
even_divisible: bool = True,
num_replicas: int | None = None,
rank: int | None = None,
shuffle: bool = True,
**kwargs,
):
kwargs.setdefault("shuffle", True)
wyli marked this conversation as resolved.
Show resolved Hide resolved
super().__init__(
dataset=dataset,
even_divisible=even_divisible,
num_replicas=num_replicas,
rank=rank,
shuffle=shuffle,
**kwargs,
)
self.weights = weights
Expand Down
Loading