data_in, data_out = data_gen_test.get_data_sizes(), if params['mode']=='eval', then data_out = None, then torch.nn.Linear(params['fnn_size'] if params['nb_fnn_layers'] else params['rnn_size'], out_shape[-1], bias=True), out_shape[-1] will be wrong, so how to use 'eval' ? thanks.
data_in, data_out = data_gen_test.get_data_sizes(), if params['mode']=='eval', then data_out = None, then torch.nn.Linear(params['fnn_size'] if params['nb_fnn_layers'] else params['rnn_size'], out_shape[-1], bias=True), out_shape[-1] will be wrong, so how to use 'eval' ? thanks.