PhysicsNeMo Sym Validators#

Continuous Validators#

class physicsnemo.sym.domain.validator.continuous.PointVTKValidator(
vtk_obj: VTKBase,
nodes: List[Node],
input_vtk_map: Dict[str, List[str]],
true_vtk_map: Dict[str, List[str]],
invar: Dict[str, array] = {},
true_outvar: Dict[str, array] = {},
batch_size: int = 1024,
plotter: ValidatorPlotter = None,
requires_grad: bool = False,
log_iter: bool = False,
)[source]#

Bases: PointwiseValidator

Pointwise validator using mesh points of VTK object

Parameters:

  • vtk_obj (VTKBase) – PhysicsNeMo VTK object to use point locations from

  • nodes (List[Node]) – List of PhysicsNeMo Nodes to unroll graph with.

  • input_vtk_map (Dict[str, List[str]]) – Dictionary mapping from PhysicsNeMo input variables to VTK variable names {“physicsnemo.sym.name”: [“vtk name”]}. Use colons to denote components of multi-dimensional VTK arrays (“name”:# )

  • true_vtk_map (Dict[str, List[str]]) – Dictionary mapping from PhysicsNeMo target variables to VTK variable names {“physicsnemo.sym.name”: [“vtk name”]}.

  • invar (Dict[str, np.array], optional) – Dictionary of additional numpy arrays as input, by default {}

  • true_outvar (Dict[str, np.array], optional) – Dictionary of additional numpy arrays used to validate against validation, by default {}

  • batch_size (int) – Batch size used when running validation.

  • plotter (ValidatorPlotter) – PhysicsNeMo plotter for showing results in tensorboard.

  • requires_grad (bool, optional) – If automatic differentiation is needed for computing results., by default True

  • log_iter (bool, optional) – Save results to different file each call, by default False

class physicsnemo.sym.domain.validator.continuous.PointwiseValidator(
nodes: List[Node],
invar: Dict[str, array],
true_outvar: Dict[str, array],
batch_size: int = 1024,
plotter: ValidatorPlotter = None,
requires_grad: bool = False,
)[source]#

Bases: Validator

Pointwise Validator that allows walidating on pointwise data

Parameters:

  • nodes (List[Node]) – List of PhysicsNeMo Nodes to unroll graph with.

  • invar (Dict[str, np.ndarray (N, 1)]) – Dictionary of numpy arrays as input.

  • true_outvar (Dict[str, np.ndarray (N, 1)]) – Dictionary of numpy arrays used to validate against validation.

  • batch_size (int, optional) – Batch size used when running validation, by default 1024

  • plotter (ValidatorPlotter) – PhysicsNeMo plotter for showing results in tensorboard.

  • requires_grad (bool = False) – If automatic differentiation is needed for computing results.

Discrete Validators#

class physicsnemo.sym.domain.validator.discrete.DeepONet_Data_Validator(
nodes: List[Node],
invar_branch: Dict[str, array],
invar_trunk: Dict[str, array],
true_outvar: Dict[str, array],
batch_size: int = 100,
plotter: DeepONetValidatorPlotter = None,
requires_grad: bool = False,
)[source]#

Bases: _DeepONet_Validator

DeepONet Validator

class physicsnemo.sym.domain.validator.discrete.DeepONet_Physics_Validator(
nodes: List[Node],
invar_branch: Dict[str, array],
invar_trunk: Dict[str, array],
true_outvar: Dict[str, array],
batch_size: int = 100,
plotter: DeepONetValidatorPlotter = None,
requires_grad: bool = False,
tile_trunk_input: bool = True,
)[source]#

Bases: _DeepONet_Validator

DeepONet Validator

class physicsnemo.sym.domain.validator.discrete.GridValidator(
nodes: List[Node],
dataset: Dataset,
batch_size: int = 100,
plotter: GridValidatorPlotter = None,
requires_grad: bool = False,
num_workers: int = 0,
)[source]#

Bases: Validator

Data-driven grid field validator

Parameters:

  • nodes (List[Node]) – List of PhysicsNeMo Nodes to unroll graph with.

  • dataset (Dataset) – dataset which contains invar and true outvar examples

  • batch_size (int, optional) – Batch size used when running validation, by default 100

  • plotter (GridValidatorPlotter) – PhysicsNeMo plotter for showing results in tensorboard.

  • requires_grad (bool = False) – If automatic differentiation is needed for computing results.

  • num_workers (int, optional) – Number of dataloader workers, by default 0

Validators Base#

class physicsnemo.sym.domain.validator.validator.Validator[source]#

Bases: object

Validator base class