ParametersRecord

class ParametersRecord(array_dict: OrderedDict[str, Array] | None = None, keep_input: bool = False)

Bases: TypedDict[str, Array]

Parameters record.

A dataclass storing named Arrays in order. This means that it holds entries as an OrderedDict[str, Array]. ParametersRecord objects can be viewed as an equivalent to PyTorch’s state_dict, but holding serialised tensors instead.

Methods

clear()	Remove all items from R.
count_bytes()	Return number of Bytes stored in this object.
get(k[,d])	d defaults to None.
items()
keys()
pop(k[,d])	If key is not found, d is returned if given, otherwise KeyError is raised.
update([E, ]**F)	Update R from dict/iterable E and F.
values()

clear() → None.

Remove all items from R.

count_bytes() → int

Return number of Bytes stored in this object.

Note that a small amount of Bytes might also be included in this counting that correspond to metadata of the serialized object (e.g. of NumPy array) needed for deseralization.

get(k[, d]) → R[k] if k in R, else d.

d defaults to None.

items() → a set-like object providing a view on R's items.

keys() → a set-like object providing a view on R's keys.

pop(k[, d]) → v, remove specified key and return the corresponding value.

If key is not found, d is returned if given, otherwise KeyError is raised.

update([E, ]**F) → None.

Update R from dict/iterable E and F.

values() → an object providing a view on R's values.