Compute a recurrent neural net. Roughly, `Recurrent()` computes the following:: state = state0 for t in inputs' sequence length: state, extras = cell_fn(theta, state, inputs[t, :]) accumulate_state[t, :] = state return accumulate_state, state `theta`, `state`
(theta,
state0,
inputs,
cell_fn,
cell_grad=None,
cell_type=None,
stop_fn=None,
extras=None,
check_stateful_ops=False,
accumulator_layer=None,
allow_implicit_capture=False,
allowed_tensor_captures=None,
backward_cleanup=None,
return_acc_extras=False)
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