core.models.equiformer_v2.trainers.energy_trainer#
Copyright (c) Meta, Inc. and its affiliates.
This source code is licensed under the MIT license found in the LICENSE file in the root directory of this source tree.
Classes#
Trainer class for the Structure to Energy & Force (S2EF) and Initial State to |
Module Contents#
- class core.models.equiformer_v2.trainers.energy_trainer.EquiformerV2EnergyTrainer(task: dict[str, str | Any], model: dict[str, Any], outputs: dict[str, str | int], dataset: dict[str, str | float], optimizer: dict[str, str | float], loss_functions: dict[str, str | float], evaluation_metrics: dict[str, str], identifier: str, local_rank: int, timestamp_id: str | None = None, run_dir: str | None = None, is_debug: bool = False, print_every: int = 100, seed: int | None = None, logger: str = 'wandb', amp: bool = False, cpu: bool = False, name: str = 'ocp', slurm=None, gp_gpus: int | None = None, inference_only: bool = False)#
Bases:
fairchem.core.trainers.OCPTrainer
Trainer class for the Structure to Energy & Force (S2EF) and Initial State to Relaxed State (IS2RS) tasks.
Note
Examples of configurations for task, model, dataset and optimizer can be found in configs/ocp_s2ef and configs/ocp_is2rs.
- Parameters:
task (dict) – Task configuration.
model (dict) – Model configuration.
outputs (dict) – Output property configuration.
dataset (dict) – Dataset configuration. The dataset needs to be a SinglePointLMDB dataset.
optimizer (dict) – Optimizer configuration.
loss_functions (dict) – Loss function configuration.
evaluation_metrics (dict) – Evaluation metrics configuration.
identifier (str) – Experiment identifier that is appended to log directory.
run_dir (str, optional) – Path to the run directory where logs are to be saved. (default:
None
)is_debug (bool, optional) – Run in debug mode. (default:
False
)print_every (int, optional) – Frequency of printing logs. (default:
100
)seed (int, optional) – Random number seed. (default:
None
)logger (str, optional) – Type of logger to be used. (default:
wandb
)amp (bool, optional) – Run using automatic mixed precision. (default:
False
)slurm (dict) – Slurm configuration. Currently just for keeping track. (default:
{}
)
- load_extras()#