def __init__( self, state_preprocessor: Preprocessor, value_network: Optional[nn.Module], action_names: List[str], ) -> None: super().__init__() self.state_sorted_features_t = state_preprocessor.sorted_features self.state_preprocessor = torch.jit.trace( state_preprocessor, (state_preprocessor.input_prototype())) value_network_sample_input = self.state_preprocessor( *state_preprocessor.input_prototype()) self.value_network = torch.jit.trace(value_network, value_network_sample_input) self.action_names = torch.jit.Attribute(action_names, List[str])
def __init__( self, state_preprocessor: Preprocessor, action_preprocessor: Preprocessor, value_network: Optional[nn.Module], ) -> None: super().__init__() self.state_sorted_features_t = state_preprocessor.sorted_features self.state_preprocessor = torch.jit.trace( state_preprocessor, (state_preprocessor.input_prototype())) self.action_sorted_features_t = action_preprocessor.sorted_features self.action_preprocessor = torch.jit.trace( action_preprocessor, (action_preprocessor.input_prototype())) value_network_sample_input = ( self.state_preprocessor(*state_preprocessor.input_prototype()), self.action_preprocessor(*action_preprocessor.input_prototype()), ) self.value_network = torch.jit.trace(value_network, value_network_sample_input)