def main(unused_argv): melody_rnn_generate.setup_logs() with basic_rnn_generator.create_generator( melody_rnn_generate.get_checkpoint(), melody_rnn_generate.get_bundle(), melody_rnn_generate.get_steps_per_quarter(), melody_rnn_generate.get_hparams()) as generator: if melody_rnn_generate.should_save_generator_bundle(): tf.logging.info('Saving generator bundle to %s' % (melody_rnn_generate.get_bundle_file())) generator.create_bundle_file(melody_rnn_generate.get_bundle_file()) else: melody_rnn_generate.run_with_flags(generator)
def main(unused_argv): with basic_rnn_generator.create_generator( melody_rnn_generate.get_train_dir(), melody_rnn_generate.get_steps_per_beat(), melody_rnn_generate.get_hparams()) as generator: melody_rnn_generate.run_with_flags(generator)
def main(unused_argv): with basic_rnn_generator.create_generator( melody_rnn_generate.get_checkpoint(), melody_rnn_generate.get_steps_per_beat(), melody_rnn_generate.get_hparams()) as generator: melody_rnn_generate.run_with_flags(generator)