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

[Fix] Add Pytorch HardSwish assertion in unit test #1294

Merged
merged 6 commits into from
Feb 16, 2022
Merged

[Fix] Add Pytorch HardSwish assertion in unit test #1294

Changes from 3 commits
Commits
Show all changes
6 commits
Select commit Hold shift + click to select a range
7fcc077
assert original HardSwish when PyTorch > 1.6 in unit test
MengzhangLI Feb 16, 2022
28f41bc
assert original HardSwish when PyTorch > 1.6 in unit test
MengzhangLI Feb 16, 2022
96f6a4c
assert original HardSwish when PyTorch > 1.6 in unit test
MengzhangLI Feb 16, 2022
5b7308a
assert original HardSwish when PyTorch > 1.6 in unit test
MengzhangLI Feb 16, 2022
a54f035
assert original HardSwish when PyTorch > 1.6 in unit test
MengzhangLI Feb 16, 2022
dcf7197
assert original HardSwish when PyTorch > 1.6 in unit test
MengzhangLI Feb 16, 2022
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
12 changes: 10 additions & 2 deletions tests/test_models/test_backbones/test_blocks.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -94,6 +94,11 @@ def test_inv_residualv3():
assert output.shape == (1, 32, 64, 64)

# test with se_cfg and with_expand_conv
# Note: Use PyTorch official HSwish when torch>=1.7 after MMCV >= 1.4.5.
# Hardswish is not supported when PyTorch version < 1.6.
# And Hardswish in PyTorch 1.6 does not support inplace.
# More details could be found from:
# https://github.com/open-mmlab/mmcv/pull/1709
se_cfg = dict(
channels=16,
ratio=4,
Expand All @@ -108,15 +113,18 @@ def test_inv_residualv3():
assert inv_module.expand_conv.conv.kernel_size == (1, 1)
assert inv_module.expand_conv.conv.stride == (1, 1)
assert inv_module.expand_conv.conv.padding == (0, 0)
assert isinstance(inv_module.expand_conv.activate, mmcv.cnn.HSwish)
assert isinstance(inv_module.expand_conv.activate,
(mmcv.cnn.HSwish, torch.nn.Hardswish))

assert isinstance(inv_module.depthwise_conv.conv,
mmcv.cnn.bricks.Conv2dAdaptivePadding)
assert inv_module.depthwise_conv.conv.kernel_size == (3, 3)
assert inv_module.depthwise_conv.conv.stride == (2, 2)
assert inv_module.depthwise_conv.conv.padding == (0, 0)
assert isinstance(inv_module.depthwise_conv.bn, torch.nn.BatchNorm2d)
assert isinstance(inv_module.depthwise_conv.activate, mmcv.cnn.HSwish)

assert isinstance(inv_module.depthwise_conv.activate,
(mmcv.cnn.HSwish, torch.nn.Hardswish))
assert inv_module.linear_conv.conv.kernel_size == (1, 1)
assert inv_module.linear_conv.conv.stride == (1, 1)
assert inv_module.linear_conv.conv.padding == (0, 0)
Expand Down