PhysicsNeMo Sym Monitors#

Pointwise Monitor#

Monitor for Solver class

class physicsnemo.sym.domain.monitor.pointwise.PointwiseMonitor(
invar,
output_names,
metrics,
nodes,
summary_histograms='off',
requires_grad=False,
)[source]#

Bases: Monitor

Pointwise Inferencer that allows inferencing on pointwise data

Parameters:

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

  • output_names (List[str]) – List of outputs needed for metric.

  • metrics (Dict[str, Callable]) – Dictionary of pytorch functions whose input is a dictionary torch tensors whose keys are the output_names. The keys to metrics will be used to label the metrics in tensorboard/csv outputs.

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

  • summary_histograms (str = "off") – The histograms of all outputs and intermediate results will be monitored and added to tensorboard. Choices are: “off”, “linear” and “log2”, default is “off”.

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

Monitor Base#

class physicsnemo.sym.domain.monitor.monitor.Monitor[source]#

Bases: object

Monitor base class