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deploy: 32a5700 [formerly 7a32302ac1427cf87dcbc2d69001d66345a2fcdb]
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Former-commit-id: 0364d2e2c5ecb08ba86709af48947f0509ab4ef1
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lbluque committed Dec 19, 2024
1 parent 96e55d5 commit fcbf3a5
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Showing 5 changed files with 6 additions and 3 deletions.
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Expand Up @@ -59,7 +59,7 @@ Module Contents
:returns: list of Atoms


.. py:class:: OCPCalculator(config_yml: str | None = None, checkpoint_path: str | pathlib.Path | None = None, model_name: str | None = None, local_cache: str | None = None, trainer: str | None = None, cpu: bool = True, seed: int | None = None)
.. py:class:: OCPCalculator(config_yml: str | None = None, checkpoint_path: str | pathlib.Path | None = None, model_name: str | None = None, local_cache: str | None = None, trainer: str | None = None, cpu: bool = True, seed: int | None = None, only_output: list[str] | None = None)
Bases: :py:obj:`ase.calculators.calculator.Calculator`

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3 changes: 3 additions & 0 deletions _sources/autoapi/core/common/utils/index.rst
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Expand Up @@ -80,6 +80,7 @@ Functions
core.common.utils.get_timestamp_uid
core.common.utils.tensor_stats
core.common.utils.get_weight_table
core.common.utils.get_checkpoint_format


Module Contents
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.. py:function:: get_weight_table(model: torch.nn.Module) -> tuple[list, list]
.. py:function:: get_checkpoint_format(config: dict) -> str
2 changes: 1 addition & 1 deletion _sources/autoapi/core/trainers/base_trainer/index.rst
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Expand Up @@ -127,7 +127,7 @@ Module Contents
.. py:method:: get_sampler(dataset, batch_size: int, shuffle: bool) -> fairchem.core.common.data_parallel.BalancedBatchSampler
.. py:method:: get_dataloader(dataset, sampler) -> torch.utils.data.DataLoader
.. py:method:: get_dataloader(dataset, sampler, workers=None) -> torch.utils.data.DataLoader
.. py:method:: load_datasets() -> None
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2 changes: 1 addition & 1 deletion _sources/autoapi/core/trainers/index.rst
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Expand Up @@ -130,7 +130,7 @@ Package Contents
.. py:method:: get_sampler(dataset, batch_size: int, shuffle: bool) -> fairchem.core.common.data_parallel.BalancedBatchSampler
.. py:method:: get_dataloader(dataset, sampler) -> torch.utils.data.DataLoader
.. py:method:: get_dataloader(dataset, sampler, workers=None) -> torch.utils.data.DataLoader
.. py:method:: load_datasets() -> None
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