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exalearn / fast-finetuned-forcefields
89%
main: 90%

Build:
Build:
LAST BUILD BRANCH: eval-models
DEFAULT BRANCH: main
Repo Added 01 Mar 2023 01:33PM UTC
Files 23
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LAST BUILD ON BRANCH calc_cuda
branch: calc_cuda
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  • calc_cuda
  • add_cov
  • ani1x
  • eval-models
  • finetune
  • fix-ci
  • fix_mctbp
  • gs_only
  • main
  • mofs
  • mp2_finetune
  • revert-26-schnet-with-pbc
  • robust_mctbp
  • schnet-with-pbc
  • tamm_ase
  • tamm_init
  • to_toml

pending completion
4417566813

push

github

Logan Ward
Do not accept "None" as a device name

809 of 914 relevant lines covered (88.51%)

0.89 hits per line

Relevant lines Covered
Build:
Build:
914 RELEVANT LINES 809 COVERED LINES
0.89 HITS PER LINE
Source Files on calc_cuda
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  • List 21
  • Changed 1
  • Source Changed 1
  • Coverage Changed 0
Coverage ∆ File Lines Relevant Covered Missed Hits/Line

Recent builds

Builds Branch Commit Type Ran Committer Via Coverage
4417566813 calc_cuda Do not accept "None" as a device name push 14 Mar 2023 03:55PM UTC Logan Ward github pending completion  
4417563196 calc_cuda Test the ASE device pinning push 14 Mar 2023 03:54PM UTC Logan Ward github pending completion  
4417555079 calc_cuda Ensure model is always on designated device push 14 Mar 2023 03:51PM UTC Logan Ward github pending completion  
4417328820 calc_cuda Do not return duplicate objects in MCTBP (#18) push 14 Mar 2023 03:30PM UTC GitHub github pending completion  
See All Builds (104)
  • Repo on GitHub
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