def create_generator(checkpoint, steps_per_beat=4, hparams=None):
melody_encoder_decoder = basic_rnn_encoder_decoder.MelodyEncoderDecoder()
details = generator_pb2.GeneratorDetails(id='basic_rnn',
description='Basic RNN Generator')
return melody_rnn_sequence_generator.MelodyRnnSequenceGenerator(
details, checkpoint, melody_encoder_decoder,
basic_rnn_graph.build_graph, steps_per_beat,
{} if hparams is None else hparams)
def create_generator(train_dir, steps_per_beat=4, hparams=None):
melody_encoder_decoder = attention_rnn_encoder_decoder.MelodyEncoderDecoder(
)
details = generator_pb2.GeneratorDetails(
id='attention_rnn', description='Attention RNN Generator')
return melody_rnn_sequence_generator.MelodyRnnSequenceGenerator(
details, train_dir, melody_encoder_decoder,
attention_rnn_graph.build_graph, steps_per_beat,
{} if hparams is None else hparams)
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 create_generator(checkpoint,
bundle,
steps_per_quarter=4,
hparams=None,
generator_id=DEFAULT_ID):
melody_encoder_decoder = basic_rnn_encoder_decoder.MelodyEncoderDecoder()
details = generator_pb2.GeneratorDetails(id=generator_id,
description='Basic RNN Generator')
return melody_rnn_sequence_generator.MelodyRnnSequenceGenerator(
details, checkpoint, bundle, melody_encoder_decoder,
basic_rnn_graph.build_graph, steps_per_quarter,
{} if hparams is None else hparams)
def create_generator(checkpoint, bundle, steps_per_quarter=4, hparams=None):
melody_encoder_decoder = attention_rnn_encoder_decoder.MelodyEncoderDecoder()
details = generator_pb2.GeneratorDetails(
id='attention_rnn',
description='Attention RNN Generator')
return melody_rnn_sequence_generator.MelodyRnnSequenceGenerator(
details,
checkpoint,
bundle,
melody_encoder_decoder,
attention_rnn_graph.build_graph,
steps_per_quarter,
{} if hparams is None else hparams)