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Existing UT typically takes images with large resolution as input, or download models directly. Such a design will slow down the speed of CI and significantly waste a lot of time for CI.
What is the feature?
Using pytest mock to skip some downloading and reduce model size and input size.
What is the problem this feature will solve?
Existing UT typically takes images with large resolution as input, or download models directly. Such a design will slow down the speed of CI and significantly waste a lot of time for CI.
What is the feature?
Using pytest mock to skip some downloading and reduce model size and input size.
What alternatives have you considered?
Support torch 1.13. Reference: open-mmlab/mmcv#2405
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