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# runs 1 train, 1 validation and 1 test step | ||
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defaults: | ||
- default.yaml | ||
- default | ||
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trainer: | ||
fast_dev_run: true |
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# overfits to 3 batches | ||
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defaults: | ||
- default.yaml | ||
- default | ||
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trainer: | ||
max_epochs: 20 | ||
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# runs with execution time profiling | ||
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defaults: | ||
- default.yaml | ||
- default | ||
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trainer: | ||
max_epochs: 1 | ||
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# train with many loggers at once | ||
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defaults: | ||
# - comet.yaml | ||
- csv.yaml | ||
# - mlflow.yaml | ||
# - neptune.yaml | ||
- tensorboard.yaml | ||
- wandb.yaml | ||
# - comet | ||
- csv | ||
# - mlflow | ||
# - neptune | ||
- tensorboard | ||
- wandb |
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@@ -1,5 +1,5 @@ | ||
defaults: | ||
- default.yaml | ||
- default | ||
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accelerator: cpu | ||
devices: 1 |
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defaults: | ||
- default.yaml | ||
- default | ||
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strategy: ddp | ||
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defaults: | ||
- default.yaml | ||
- default | ||
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# simulate DDP on CPU, useful for debugging | ||
accelerator: cpu | ||
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defaults: | ||
- default.yaml | ||
- default | ||
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accelerator: gpu | ||
devices: 1 |
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defaults: | ||
- default.yaml | ||
- default | ||
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accelerator: mps | ||
devices: 1 |
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@@ -42,4 +42,4 @@ dependencies: | |
- pip: | ||
- hydra-optuna-sweeper | ||
- hydra-colorlog | ||
- pyrootutils | ||
- rootutils |
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