concepts.dsl.tensor_state.TensorValueDict

class TensorValueDict

Bases: MultidimensionalArrayInterface

Basic tensor dict implementation.

Methods

clone()	Clone the multidimensional array interface.
get_feature(name)	Get the feature tensor with the given name.
items()	Get the feature name-tensor pairs.
keys()	Get the feature names.
set_feature(name, feature)	Set the feature tensor with the given name.
update_feature(other_tensor_dict)	Update the feature tensors with the given tensor dict.
values()	Get the feature tensors.

__getitem__(name)

Get the feature tensor with the given name.

Parameters:

name (str)

Return type:

TensorValue

__init__(tensor_dict=None)

Parameters:

tensor_dict (Dict[str, TensorValue] | None)

__new__(**kwargs)

clone()

Clone the multidimensional array interface.

Return type:

TensorValueDict

get_feature(name)

Get the feature tensor with the given name.

Parameters:

name (str)

Return type:

TensorValue

items()

Get the feature name-tensor pairs.

Return type:

Iterable[Tuple[str, TensorValue]]

keys()

Get the feature names.

Return type:

Iterable[str]

set_feature(name, feature)

Set the feature tensor with the given name.

Parameters:

• name (str)

• feature (TensorValue)

update_feature(other_tensor_dict)

Update the feature tensors with the given tensor dict.

Parameters:

other_tensor_dict (Mapping[str, TensorValue])

values()

Get the feature tensors.

Return type:

Iterable[TensorValue]