[Feature]: Support BEiT Transformer layer #919
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## dev-1.x #919 +/- ##
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- Coverage 0.02% 0.02% -0.01%
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Files 121 121
Lines 8217 8334 +117
Branches 1368 1382 +14
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Hits 2 2
- Misses 8215 8332 +117
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mzr1996
requested changes
Jul 29, 2022
| @@ -98,6 +101,109 @@ def forward(self, x): | |||
| return x | |||
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| class BEiTTransformerEncoderLayer(TransformerEncoderLayer): | |||
mzr1996
reviewed
Aug 16, 2022
mzr1996
approved these changes
Aug 16, 2022
mzr1996
pushed a commit
to mzr1996/mmpretrain
that referenced
this pull request
Nov 24, 2022
* [Feature]: Add BEiT-style transformer encoder layer * [Feature]: Add average token * [Fix]: Fix lint * [Fix]: Refactor CAE config * [Fix]: Change cv2 backend to pillow backend * [Fix]: Fix MAE and CAE reshape bug * [Feature]: Add freeze vit layers * [Feature]: Add mc * [Fix]: Fix lint * [Fix]: Fix dataset bug * [Fix]: Delete cae selfsup config * [Fix]: docstring * [Refactor]: Add init_values to layer_scalue_init_value * [Fix]: Refine the docstring of avg_token * [Fix]: Call super init weight in beit attention * [Fix]: remove mc * [Fix]: Fix docstring * [Fix]: Fix docstring * [Fix]: Fix lint * [Fix]: Fix init_value bug and change the logic of outputting cls token * [Fix]: Fix docstring
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