solprop.backends.numpy_ref.batch

Evaluate reference Runge-Kutta stage arrays across a leading member axis.

Classes

NumpyBatchBackend(members)

Evaluate batch stage arithmetic with independently parameterised responses.

class solprop.backends.numpy_ref.batch.NumpyBatchBackend(members)

Bases: LockstepRunner

Evaluate batch stage arithmetic with independently parameterised responses.

Stage sums, input construction and the final update operate on arrays with a leading member axis. Response evaluation retains each member’s own transform, material and statistics context. Norms are reduced within each member in the same order as the singleton reference.

Parameters:

memberssequence of solprop.backends.numpy_ref.NumpyRefBackend

Loaded reference workspaces with matching shapes, fixed schedules and Runge-Kutta tableaus. Ownership transfers on successful construction.

Raises:

BackendError

If the fixed-schedule contract, backend or tableau differs between members.

close()

Release the reference member workspaces and common march state.

helpers = Helpers(name='plain')

memory_ledger()

Include transient array packing alongside the reference step peak.

Returns:

dict of str to int

Conservative peak workspace bytes. Existing member ledgers account for stage stacks and accumulators; these entries cover concatenation inputs, outputs and expression temporaries that coexist with them.

metadata()

Record vector stage arithmetic and independent response workspaces.

Returns:

dict

Batch execution settings; no device-kernel fusion is claimed.