[Improve] Refactor liif for pytorch2onnx #425
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@@ Coverage Diff @@
## master #425 +/- ##
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+ Coverage 80.66% 80.84% +0.17%
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Files 188 189 +1
Lines 10106 10101 -5
Branches 1485 1485
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+ Hits 8152 8166 +14
+ Misses 1740 1721 -19
Partials 214 214
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| # model | ||
| self.encoder = build_backbone(encoder) | ||
| imnet_in_dim = self.encoder.mid_channels |
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There may be a problem if self.encoder has no mid_channels.
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self.encoder can be EDSR or RDN, all of them have mid_channels.
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Then we should add a value error? Now there is a chance that users use some other networks that contain no mid_channels.
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Let's keep status quo and add helpful message when issues flood in.
| feat.shape[2], feat.shape[3]) | ||
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| if self.local_ensemble: | ||
| vx_lst = [-1, 1] |
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It is better to replace vx, rx, ... by some more meaningful names.
* Fix typo * [Improve] Refactor liif for pytorch2onnx * Add docstring * Add checkpoints * Update * Update Co-authored-by: liyinshuo <liyinshuo@sensetime.com>
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