brainpy.nn.runners.RNNRunner
brainpy.nn.runners.RNNRunner#
- class brainpy.nn.runners.RNNRunner(target, jit=True, **kwargs)[source]#
Structural Runner for Recurrent Neural Networks.
- Parameters
target (Node) – The target model for simulation.
monitors (None, list of str, tuple of str, Monitor) – Variables to monitor.
jit (bool) – Whether we use JIT compilation to accelerate the model simulation.
progress_bar (bool) – Whether we use progress bar to report the simulation progress.
dyn_vars (Optional, dict) – The dynamically changed variables.
numpy_mon_after_run (bool) – Change the monitored iterm into NumPy arrays.
Methods
__init__
(target[, jit])predict
(xs[, forced_states, ...])Predict a series of input data with the given target model.