def main(unused_argv): melody_encoder_decoder = basic_rnn_encoder_decoder.MelodyEncoderDecoder() details = generator_pb2.GeneratorDetails(id='basic_rnn', description='Basic RNN Generator') with melody_rnn_sequence_generator.MelodyRnnSequenceGenerator( details, melody_rnn_generate.get_train_dir(), melody_encoder_decoder, basic_rnn_graph.build_graph, 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): melody_encoder_decoder = attention_rnn_encoder_decoder.MelodyEncoderDecoder() details = generator_pb2.GeneratorDetails( id='attention_rnn', description='Attention RNN Generator') with melody_rnn_sequence_generator.MelodyRnnSequenceGenerator( details, melody_rnn_generate.get_train_dir(), melody_encoder_decoder, attention_rnn_graph.build_graph, 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): melody_rnn_generate.setup_logs() with lookback_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): melody_rnn_generate.setup_logs() with lookback_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 attention_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_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)
def main(unused_argv): with lookback_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)