concepts.dsl.tensor_state#

Data structures for tensor states. A tensor state is composed of tensor values. Intuitively, each state can be represented as a dictionary, mapping from feature names to tensors. Semantically, this dictionary represents the state of the system (e.g., a scene, a collection of robot and object states in an environment, etc.).

Functions

concat_states(*args)

Concatenate a list of states into a batch state.

Classes

`MultidimensionalArrayInterface`	A multi-dimensional array inferface.
`NamedObjectStateMixin`	A state type mixin with named objects.
`NamedObjectTensorState`	A state type with named objects.
`StateObjectDistribution`
`StateObjectList`
`StateObjectReference`	The StateObjectReference class represents a reference to an object in the state.
`TensorState`	A state representation is essentially a mapping from feature names to tensors.
`TensorStateBase`	A state representation is essentially a mapping from feature names to tensors.
`TensorValueDict`	Basic tensor dict implementation.