Comments (1)
Fixed in 1.0.5 with backward-compatibility.
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Related Issues (13)
- Naively handle Map-style and Iterable-style datasets HOT 1
- Metric improvement HOT 1
- Debug mode always selects GPU 0 HOT 1
- Accumulate predictions for metric that require global statistics HOT 1
- Telegram Bot support HOT 1
- Weighted Additive Loss HOT 1
- Pass `device` information to Metrics for e.g., class imbalance reweighting HOT 1
- Training engine and returned data list HOT 2
- Keep getting raylet error HOT 4
- Add option to specify subset of GPUs HOT 1
- Fix Ray not deallocating GPU memory HOT 1
- Bug: training engine does not work with shuffle = False
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