pytc.solver.isdf_xtc_ccsd.FactorDirectProfile¶

class pytc.solver.isdf_xtc_ccsd.FactorDirectProfile(wall_seconds, schedule_intermediate_estimate_bytes, compiled_xla_temporary_bytes, compiled_xla_argument_bytes, compiled_xla_output_bytes, compiled_xla_alias_bytes, compiled_xla_total_bytes, rank_panel_size, occupied_pair_batch_size, materializes_v4=False)[source]¶

Bases: object

One steady-state contraction measurement.

schedule_intermediate_estimate_bytes counts only the named panels in the factor-direct algebra. It excludes compiler-generated scratch and whole-array padding copies, so it is explicitly not an allocator bound.

The compiled_xla_* fields come from Compiled.memory_analysis() for the executable that evaluates this branch on the active backend. They are not a claim about process-wide allocator high-water mark.

Methods

`__delattr__`	Implement delattr(self, name).
`__dir__`	Default dir() implementation.
`__eq__`	Return self==value.
`__format__`	Default object formatter.
`__ge__`	Return self>=value.
`__getattribute__`	Return getattr(self, name).
`__getstate__`	Helper for pickle.
`__gt__`	Return self>value.
`__hash__`	Return hash(self).
`__init__`
`__init_subclass__`	This method is called when a class is subclassed.
`__le__`	Return self<=value.
`__lt__`	Return self<value.
`__ne__`	Return self!=value.
`__new__`
`__reduce__`	Helper for pickle.
`__reduce_ex__`	Helper for pickle.
`__repr__`	Return repr(self).
`__setattr__`	Implement setattr(self, name, value).
`__sizeof__`	Size of object in memory, in bytes.
`__str__`	Return str(self).
`__subclasshook__`	Abstract classes can override this to customize issubclass().

Attributes

`__annotations__`
`__dataclass_fields__`
`__dataclass_params__`
`__dict__`
`__doc__`
`__match_args__`
`__module__`
`__weakref__`	list of weak references to the object
`materializes_v4`
`wall_seconds`
`schedule_intermediate_estimate_bytes`
`compiled_xla_temporary_bytes`
`compiled_xla_argument_bytes`
`compiled_xla_output_bytes`
`compiled_xla_alias_bytes`
`compiled_xla_total_bytes`
`rank_panel_size`
`occupied_pair_batch_size`

Parameters:

wall_seconds (float)
schedule_intermediate_estimate_bytes (int)
compiled_xla_temporary_bytes (int)
compiled_xla_argument_bytes (int)
compiled_xla_output_bytes (int)
compiled_xla_alias_bytes (int)
compiled_xla_total_bytes (int)
rank_panel_size (int)
occupied_pair_batch_size (int)
materializes_v4 (bool)

wall_seconds: float¶

schedule_intermediate_estimate_bytes: int¶

compiled_xla_temporary_bytes: int¶

compiled_xla_argument_bytes: int¶

compiled_xla_output_bytes: int¶

compiled_xla_alias_bytes: int¶

compiled_xla_total_bytes: int¶

rank_panel_size: int¶

occupied_pair_batch_size: int¶

materializes_v4: bool = False¶