NonSequentialModel ================== ``parametricmatrixmodels.NonSequentialModel`` .. currentmodule:: parametricmatrixmodels .. autoclass:: NonSequentialModel :show-inheritance: :members: :special-members: __call__, compile, grad_input, grad_params :exclude-members: __init__, _abc_impl .. automethod:: __init__ .. autosummary:: :nosignatures: __call__ _get_callable ~NonSequentialModel.add ~NonSequentialModel.add_module ~NonSequentialModel.append ~NonSequentialModel.append_module ~NonSequentialModel.astype ~NonSequentialModel.compile ~NonSequentialModel.deserialize ~NonSequentialModel.from_file ~NonSequentialModel.get_execution_order ~NonSequentialModel.get_hyperparameters ~NonSequentialModel.get_modules ~NonSequentialModel.get_num_trainable_floats ~NonSequentialModel.get_output_shape ~NonSequentialModel.get_params ~NonSequentialModel.get_rng ~NonSequentialModel.get_state ~NonSequentialModel.grad_input ~NonSequentialModel.grad_params ~NonSequentialModel.insert ~NonSequentialModel.insert_module ~NonSequentialModel.is_ready ~NonSequentialModel.load ~NonSequentialModel.pop ~NonSequentialModel.pop_module_by_index ~NonSequentialModel.pop_module_by_key ~NonSequentialModel.predict ~NonSequentialModel.prepend ~NonSequentialModel.prepend_module ~NonSequentialModel.reset ~NonSequentialModel.save ~NonSequentialModel.save_compressed ~NonSequentialModel.serialize ~NonSequentialModel.set_hyperparameters ~NonSequentialModel.set_params ~NonSequentialModel.set_precision ~NonSequentialModel.set_rng ~NonSequentialModel.set_state ~NonSequentialModel.train .. autosummary:: ~NonSequentialModel.name