globus-labs / cascade
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coverage: 95.842% (+0.7%) from 95.172%
10862476086

Pull #54

github

WardLT 
Ensure models start as not none
Pull Request #54: Introduce a MACE model interface

128 of 128 new or added lines in 2 files covered. (100.0%)

876 of 914 relevant lines covered (95.84%)

0.96 hits per line

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914 RELEVANT LINES 876 COVERED LINES
0.96 HITS PER LINE
Source Files on add-mace

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Builds Branch Commit Type Ran Committer Via Coverage
10862476086 add-mace Ensure models start as not none Pull #54 WardLT github
95.84
10862476361 add-mace Merge 9a3dd4bec into 99d8fa7b7 Pull #54 web-flow github
95.84
10862438568 add-mace Ensure we start with pretrained models, even w/o data Pull #54 WardLT github
95.84
10856652681 add-mace Merge remote-tracking branch 'origin/main' into add-mace Pull #54 WardLT github
95.84
10856020925 add-mace Support MACE models in Proxima script Pull #54 WardLT github
95.93
10853653695 add-mace Add training script for MACE Pull #54 WardLT github
95.93
10819577914 add-mace Bugs caught during training on actinide dataset 1. Move batch and model to device in inference 2. Use the entire dataset for offset calculation 3. Extend rather than append stresses Pull #54 WardLT github
95.93
10813898473 add-mace Missed a few ".to(device)" steps Pull #54 WardLT github
95.91
10813898909 add-mace Merge 01b979a25 into 5b1191597 Pull #54 web-flow github
95.91
10813715299 add-mace Add calculator method Pull #54 WardLT github
95.91
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