Comments (1)
There is nothing constrained to image classification. All you have to do is change the loss function provided. See searcher.py and trainer.py.
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Related Issues (20)
- [BUG] some minor notebook bugs HOT 1
- [BUG] crash in algos.ipynb when I try and run it on my cuda device... HOT 2
- [BUG] some typos in algos.ipynb HOT 1
- [BUG] typos and feedback on getting_started/notebooks/discrete_search/search_space.ipynb HOT 1
- [BUG] visualizing graphs in evaluators.ipynb HOT 2
- [BUG] TypeError: 'NoneType' object is not subscriptable HOT 1
- [BUG] idea to reduce duplicate code in algos.ipynb HOT 2
- [BUG] why is training_epochs a float in algos.ipynb HOT 2
- [BUG] algos.ipynb does its own train-validation split? HOT 1
- [BUG] getting_started requirements.txt HOT 1
- [NEW] Use a single plot library across Archai HOT 2
- [BUG] AvgOnnxLatency blows up if you have installed multiple Onnx RuntimeProviders
- [BUG] my CNNSearchSpace implementation had to change in order for distributed training to work. HOT 1
- [BUG] `FastHfDatasetProvider` producing wrong dataset splits
- [BUG] `ConfigSearchSpace.load_arch` archid inconsistency
- [BUG] onnx_model.py is generating onnxruntime.capi.onnxruntime_pybind11_state.Fail HOT 1
- [BUG] unit test failures due to external dataset downloads
- [BUG] einops version 0.6.1 is probably required as dependency with archai 1.0.0 HOT 1
- [BUG] Remove extra argument for EvolutionParetoSearch in tasks/text_generation/search.py HOT 1
- fear_ranking [NEW]
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