Skip to content

test(vision-encoder): cover optimizer configuration paths #7

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

Open
Zephyruss1 wants to merge 1 commit into
base: main
Choose a base branch
from
Open

test(vision-encoder): cover optimizer configuration paths #7

Changes from all commits
Commits
Show all changes
1 commit
Select commit
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
16 changes: 15 additions & 1 deletion contrastive-pretraining/tests/test_vision_encoder.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,8 @@
import torch
import torch.nn as nn
from vision_encoder.vjepa_encoder import ResidualTemporalDownsample
from vision_encoder.optimizer import get_optimizer



class TestResidualTemporalDownsample:
Expand Down Expand Up @@ -143,8 +145,20 @@ class TestOptimizerImport:
"""Test that the optimizer utility from vision_encoder works."""

def test_get_optimizer_creates_adam(self):
from vision_encoder.optimizer import get_optimizer
params = nn.Linear(10, 10).parameters()
opt = get_optimizer(set(params), lr=1e-3, wd=0.01)
assert opt is not None
assert len(opt.param_groups) > 0

def test_get_optimizer_zero_weight_decay(self):
from torch.optim import Adam
params = nn.Linear(10, 10).parameters()
opt = get_optimizer(set(params), lr=1e-3, wd=0)
assert isinstance(opt, Adam)

def test_get_optimizer_filter_by_requires_grad(self):
p1 = nn.Parameter(torch.randn(10, 10), requires_grad=True)
p2 = nn.Parameter(torch.randn(10, 10), requires_grad=False)
opt = get_optimizer(params=[p1, p2], lr=1e-3, filter_by_requires_grad=True)
all_params = [p for group in opt.param_groups for p in group['params']]
assert all_params == [p1]