- 11 Nov, 2022 1 commit
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toni057 authored
* Adding FLOPs and size to model metadata * Adding weight size to quantization models * Small refactor of rich metadata * Removing unused code * Fixing wrong entries * Adding .DS_Store to gitignore * Renaming _flops to _ops * Adding number of operations to quantization models * Reflecting _flops change to _ops * Renamed ops and weight size in individual model doc pages * Linter fixes * Rounding ops to first decimal * Rounding num ops and sizes to 3 decimals * Change naming of columns. * Update tables Co-authored-by:
Toni Blaslov <tblaslov@fb.com> Co-authored-by:
Vasilis Vryniotis <datumbox@users.noreply.github.com>
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- 23 Sep, 2022 1 commit
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Ponku authored
* Added maxvit architecture and tests * rebased + addresed comments * Revert "rebased + addresed comments" This reverts commit c5b28398cd48d2f3403c7c8eeefbaba9df05fcfe. * Re-added model changes after revert * aligned with partial original implementation * removed submitit script fixed lint * mypy fix for too many arguments * updated old tests * removed per batch lr scheduler and seed setting * removed ontap * added docs, validated weights * fixed test expect, moved shape assertions in the begging for torch.fx compatibility * mypy fix * lint fix * added legacy interface * added weight link * updated docs * Update references/classification/train.py Co-authored-by:
Vasilis Vryniotis <datumbox@users.noreply.github.com> * Update torchvision/models/maxvit.py Co-authored-by:
Vasilis Vryniotis <datumbox@users.noreply.github.com> * adressed comments * update ra_maginuted and augmix_severity default values * adressed some comments * remove input_channels parameter Co-authored-by:
Vasilis Vryniotis <datumbox@users.noreply.github.com>
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