make activation checkpointing configurable #211
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| @@ -189,6 +189,16 @@ def model(self) -> GraphForecaster: | |||
| freeze_submodule_by_name(model, submodule_name) | |||
| LOGGER.info("%s frozen successfully.", submodule_name.upper()) | |||
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| if self.config.training.activation_checkpointing.encoder: | |||
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I think we could get rid of this bit by using the model_config in the encoder_processor_decoder.
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Effort to make activation checkpointing configurable. With more GPU memory, small models will be able to run without full checkpointing and therefore we can increase throughput.
Also sets the processor default chunking values to more sane defaults.