Type AttentionWrapperState
Namespace tensorflow.contrib.seq2seq
Parent PythonObjectContainer
Interfaces IAttentionWrapperState
`namedtuple` storing the state of a `AttentionWrapper`. Contains: - `cell_state`: The state of the wrapped `RNNCell` at the previous time
step.
- `attention`: The attention emitted at the previous time step.
- `time`: int32 scalar containing the current time step.
- `alignments`: A single or tuple of `Tensor`(s) containing the alignments
emitted at the previous time step for each attention mechanism.
- `alignment_history`: (if enabled) a single or tuple of `TensorArray`(s)
containing alignment matrices from all time steps for each attention
mechanism. Call `stack()` on each to convert to a `Tensor`.
- `attention_state`: A single or tuple of nested objects
containing attention mechanism state for each attention mechanism.
The objects may contain Tensors or TensorArrays.
Methods
Properties
Public instance methods
object clone(IDictionary<string, object> kwargs)
Clone this object, overriding components provided by kwargs. The new state fields' shape must match original state fields' shape. This
will be validated, and original fields' shape will be propagated to new
fields. Example:
Parameters
-
IDictionary<string, object>kwargs - Any properties of the state object to replace in the returned `AttentionWrapperState`.
Returns
-
object - A new `AttentionWrapperState` whose properties are the same as this one, except any overridden properties as provided in `kwargs`.
Show Example
initial_state = attention_wrapper.zero_state(dtype=..., batch_size=...)
initial_state = initial_state.clone(cell_state=encoder_state)
object clone_dyn(IDictionary<string, object> kwargs)
Clone this object, overriding components provided by kwargs. The new state fields' shape must match original state fields' shape. This
will be validated, and original fields' shape will be propagated to new
fields. Example:
Parameters
-
IDictionary<string, object>kwargs - Any properties of the state object to replace in the returned `AttentionWrapperState`.
Returns
-
object - A new `AttentionWrapperState` whose properties are the same as this one, except any overridden properties as provided in `kwargs`.
Show Example
initial_state = attention_wrapper.zero_state(dtype=..., batch_size=...)
initial_state = initial_state.clone(cell_state=encoder_state)