core.components.calculate.omol_runner#

Copyright (c) Meta Platforms, Inc. and affiliates.

This source code is licensed under the MIT license found in the LICENSE file in the root directory of this source tree.

Classes#

OMolRunner

Runner for OMol's evaluation tasks.

Module Contents#

class core.components.calculate.omol_runner.OMolRunner(calculator: ase.calculators.calculator.Calculator, input_data: dict, benchmark_name: str, benchmark: Callable)#

Bases: fairchem.core.components.calculate.CalculateRunner

Runner for OMol’s evaluation tasks.

result_glob_pattern#
benchmark_name#
benchmark#
input_keys#
calculate(job_num: int = 0, num_jobs: int = 1) list[dict[str, Any]]#

Perform calculations on a subset of structures.

Splits the input data into chunks and processes the chunk corresponding to job_num.

Parameters:
  • job_num (int, optional) – Current job number in array job. Defaults to 0.

  • num_jobs (int, optional) – Total number of jobs in array. Defaults to 1.

Returns:

list[dict[str, Any]] - List of dictionaries containing calculation results

write_results(results: list[dict[str, Any]], results_dir: str, job_num: int = 0, num_jobs: int = 1) None#

Write calculation results to a compressed JSON file.

Parameters:
  • results – List of dictionaries containing elastic properties

  • results_dir – Directory path where results will be saved

  • job_num – Index of the current job

  • num_jobs – Total number of jobs

save_state(checkpoint_location: str, is_preemption: bool = False) bool#

Save the current state of the calculation to a checkpoint.

Parameters:
  • checkpoint_location (str) – Location to save the checkpoint

  • is_preemption (bool, optional) – Whether this save is due to preemption. Defaults to False.

Returns:

True if state was successfully saved, False otherwise

Return type:

bool