mmpretrain
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Dummy forward
We should add forward_dummy
to query flops by mmcv (https://github.com/open-mmlab/mmcv/blob/master/mmcv/cnn/utils/flops_counter.py#L38). Althugh we already have extract_feat
, but it's not sync with mmdetection(https://github.com/open-mmlab/mmdetection/blob/master/mmdet/models/detectors/single_stage.py#L48).
we should sync both projects since many people may want to put both together into a single project.
Codecov Report
Merging #953 (d0850b0) into master (71ef7ba) will increase coverage by
0.86%
. The diff coverage is100.00%
.
:exclamation: Current head d0850b0 differs from pull request most recent head 772dfef. Consider uploading reports for the commit 772dfef to get more accurate results
@@ Coverage Diff @@
## master #953 +/- ##
==========================================
+ Coverage 84.57% 85.43% +0.86%
==========================================
Files 134 134
Lines 8772 8777 +5
Branches 1516 1516
==========================================
+ Hits 7419 7499 +80
+ Misses 1117 1056 -61
+ Partials 236 222 -14
Flag | Coverage Δ | |
---|---|---|
unittests | 85.35% <100.00%> (+0.78%) |
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Flags with carried forward coverage won't be shown. Click here to find out more.
Impacted Files | Coverage Δ | |
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mmcls/models/classifiers/image.py | 92.00% <100.00%> (+0.69%) |
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mmcls/core/visualization/image.py | 87.17% <0.00%> (+0.97%) |
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mmcls/datasets/builder.py | 87.83% <0.00%> (+9.45%) |
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mmcls/models/backbones/convmixer.py | 98.36% <0.00%> (+9.83%) |
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mmcls/datasets/custom.py | 100.00% <0.00%> (+11.47%) |
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mmcls/models/utils/helpers.py | 100.00% <0.00%> (+20.83%) |
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mmcls/utils/device.py | 100.00% <0.00%> (+27.27%) |
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mmcls/utils/setup_env.py | 100.00% <0.00%> (+27.27%) |
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mmcls/models/backbones/convnext.py | 94.78% <0.00%> (+34.78%) |
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@mzr1996
can you help me to check CI jobs?
The unit tests need to be fixed.
The unit tests need to be fixed.
sure.