354 lines
13 KiB
Python
354 lines
13 KiB
Python
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# Generated by the protocol buffer compiler. DO NOT EDIT!
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# source: magenta/protobuf/generator.proto
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import sys
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_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
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from google.protobuf import descriptor as _descriptor
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from google.protobuf import message as _message
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from google.protobuf import reflection as _reflection
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from google.protobuf import symbol_database as _symbol_database
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from google.protobuf import descriptor_pb2
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# @@protoc_insertion_point(imports)
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_sym_db = _symbol_database.Default()
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from magenta.protobuf import music_pb2 as magenta_dot_protobuf_dot_music__pb2
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DESCRIPTOR = _descriptor.FileDescriptor(
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name='magenta/protobuf/generator.proto',
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package='tensorflow.magenta',
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syntax='proto3',
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serialized_pb=_b('\n magenta/protobuf/generator.proto\x12\x12tensorflow.magenta\x1a\x1cmagenta/protobuf/music.proto\"3\n\x10GeneratorDetails\x12\n\n\x02id\x18\x01 \x01(\t\x12\x13\n\x0b\x64\x65scription\x18\x02 \x01(\t\"\xac\x01\n\x10GeneratorOptions\x12O\n\x11generate_sections\x18\x01 \x03(\x0b\x32\x34.tensorflow.magenta.GeneratorOptions.GenerateSection\x1aG\n\x0fGenerateSection\x12\x1a\n\x12start_time_seconds\x18\x01 \x01(\x01\x12\x18\n\x10\x65nd_time_seconds\x18\x02 \x01(\x01\"\x94\x01\n\x17GenerateSequenceRequest\x12\x38\n\x0einput_sequence\x18\x01 \x01(\x0b\x32 .tensorflow.magenta.NoteSequence\x12?\n\x11generator_options\x18\x02 \x01(\x0b\x32$.tensorflow.magenta.GeneratorOptions\"X\n\x18GenerateSequenceResponse\x12<\n\x12generated_sequence\x18\x01 \x01(\x0b\x32 .tensorflow.magenta.NoteSequence\"\xf4\x01\n\x0fGeneratorBundle\x12?\n\x11generator_details\x18\x01 \x01(\x0b\x32$.tensorflow.magenta.GeneratorDetails\x12I\n\x0e\x62undle_details\x18\x04 \x01(\x0b\x32\x31.tensorflow.magenta.GeneratorBundle.BundleDetails\x12\x17\n\x0f\x63heckpoint_file\x18\x02 \x03(\x0c\x12\x16\n\x0emetagraph_file\x18\x03 \x01(\x0c\x1a$\n\rBundleDetails\x12\x13\n\x0b\x64\x65scription\x18\x01 \x01(\tb\x06proto3')
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,
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dependencies=[magenta_dot_protobuf_dot_music__pb2.DESCRIPTOR,])
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_sym_db.RegisterFileDescriptor(DESCRIPTOR)
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_GENERATORDETAILS = _descriptor.Descriptor(
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name='GeneratorDetails',
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full_name='tensorflow.magenta.GeneratorDetails',
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filename=None,
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file=DESCRIPTOR,
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containing_type=None,
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fields=[
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_descriptor.FieldDescriptor(
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name='id', full_name='tensorflow.magenta.GeneratorDetails.id', index=0,
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number=1, type=9, cpp_type=9, label=1,
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has_default_value=False, default_value=_b("").decode('utf-8'),
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message_type=None, enum_type=None, containing_type=None,
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is_extension=False, extension_scope=None,
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options=None),
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_descriptor.FieldDescriptor(
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name='description', full_name='tensorflow.magenta.GeneratorDetails.description', index=1,
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number=2, type=9, cpp_type=9, label=1,
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has_default_value=False, default_value=_b("").decode('utf-8'),
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message_type=None, enum_type=None, containing_type=None,
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is_extension=False, extension_scope=None,
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options=None),
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],
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extensions=[
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],
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nested_types=[],
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enum_types=[
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],
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options=None,
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is_extendable=False,
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syntax='proto3',
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extension_ranges=[],
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oneofs=[
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],
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serialized_start=86,
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serialized_end=137,
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)
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_GENERATOROPTIONS_GENERATESECTION = _descriptor.Descriptor(
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name='GenerateSection',
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full_name='tensorflow.magenta.GeneratorOptions.GenerateSection',
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filename=None,
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file=DESCRIPTOR,
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containing_type=None,
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fields=[
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_descriptor.FieldDescriptor(
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name='start_time_seconds', full_name='tensorflow.magenta.GeneratorOptions.GenerateSection.start_time_seconds', index=0,
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number=1, type=1, cpp_type=5, label=1,
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has_default_value=False, default_value=float(0),
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message_type=None, enum_type=None, containing_type=None,
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is_extension=False, extension_scope=None,
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options=None),
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_descriptor.FieldDescriptor(
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name='end_time_seconds', full_name='tensorflow.magenta.GeneratorOptions.GenerateSection.end_time_seconds', index=1,
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number=2, type=1, cpp_type=5, label=1,
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has_default_value=False, default_value=float(0),
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message_type=None, enum_type=None, containing_type=None,
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is_extension=False, extension_scope=None,
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options=None),
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],
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extensions=[
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],
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nested_types=[],
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enum_types=[
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],
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options=None,
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is_extendable=False,
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syntax='proto3',
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extension_ranges=[],
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oneofs=[
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],
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serialized_start=241,
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serialized_end=312,
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)
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_GENERATOROPTIONS = _descriptor.Descriptor(
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name='GeneratorOptions',
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full_name='tensorflow.magenta.GeneratorOptions',
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filename=None,
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file=DESCRIPTOR,
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containing_type=None,
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fields=[
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_descriptor.FieldDescriptor(
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name='generate_sections', full_name='tensorflow.magenta.GeneratorOptions.generate_sections', index=0,
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number=1, type=11, cpp_type=10, label=3,
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has_default_value=False, default_value=[],
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message_type=None, enum_type=None, containing_type=None,
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is_extension=False, extension_scope=None,
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options=None),
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],
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extensions=[
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],
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nested_types=[_GENERATOROPTIONS_GENERATESECTION, ],
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enum_types=[
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],
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options=None,
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is_extendable=False,
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syntax='proto3',
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extension_ranges=[],
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oneofs=[
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],
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serialized_start=140,
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serialized_end=312,
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)
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_GENERATESEQUENCEREQUEST = _descriptor.Descriptor(
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name='GenerateSequenceRequest',
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full_name='tensorflow.magenta.GenerateSequenceRequest',
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filename=None,
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file=DESCRIPTOR,
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containing_type=None,
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fields=[
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_descriptor.FieldDescriptor(
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name='input_sequence', full_name='tensorflow.magenta.GenerateSequenceRequest.input_sequence', index=0,
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number=1, type=11, cpp_type=10, label=1,
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has_default_value=False, default_value=None,
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message_type=None, enum_type=None, containing_type=None,
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is_extension=False, extension_scope=None,
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options=None),
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_descriptor.FieldDescriptor(
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name='generator_options', full_name='tensorflow.magenta.GenerateSequenceRequest.generator_options', index=1,
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number=2, type=11, cpp_type=10, label=1,
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has_default_value=False, default_value=None,
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message_type=None, enum_type=None, containing_type=None,
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is_extension=False, extension_scope=None,
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options=None),
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],
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extensions=[
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],
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nested_types=[],
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enum_types=[
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],
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options=None,
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is_extendable=False,
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syntax='proto3',
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extension_ranges=[],
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oneofs=[
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],
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serialized_start=315,
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serialized_end=463,
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)
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_GENERATESEQUENCERESPONSE = _descriptor.Descriptor(
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name='GenerateSequenceResponse',
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full_name='tensorflow.magenta.GenerateSequenceResponse',
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filename=None,
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file=DESCRIPTOR,
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containing_type=None,
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fields=[
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_descriptor.FieldDescriptor(
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name='generated_sequence', full_name='tensorflow.magenta.GenerateSequenceResponse.generated_sequence', index=0,
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number=1, type=11, cpp_type=10, label=1,
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has_default_value=False, default_value=None,
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message_type=None, enum_type=None, containing_type=None,
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is_extension=False, extension_scope=None,
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options=None),
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],
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extensions=[
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],
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nested_types=[],
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enum_types=[
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],
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options=None,
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is_extendable=False,
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syntax='proto3',
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extension_ranges=[],
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oneofs=[
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],
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serialized_start=465,
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serialized_end=553,
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)
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_GENERATORBUNDLE_BUNDLEDETAILS = _descriptor.Descriptor(
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name='BundleDetails',
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full_name='tensorflow.magenta.GeneratorBundle.BundleDetails',
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filename=None,
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file=DESCRIPTOR,
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containing_type=None,
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fields=[
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_descriptor.FieldDescriptor(
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name='description', full_name='tensorflow.magenta.GeneratorBundle.BundleDetails.description', index=0,
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number=1, type=9, cpp_type=9, label=1,
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has_default_value=False, default_value=_b("").decode('utf-8'),
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message_type=None, enum_type=None, containing_type=None,
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is_extension=False, extension_scope=None,
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options=None),
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],
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extensions=[
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],
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nested_types=[],
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enum_types=[
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],
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options=None,
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is_extendable=False,
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syntax='proto3',
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extension_ranges=[],
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oneofs=[
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],
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serialized_start=764,
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serialized_end=800,
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)
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_GENERATORBUNDLE = _descriptor.Descriptor(
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name='GeneratorBundle',
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full_name='tensorflow.magenta.GeneratorBundle',
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filename=None,
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file=DESCRIPTOR,
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containing_type=None,
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fields=[
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_descriptor.FieldDescriptor(
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name='generator_details', full_name='tensorflow.magenta.GeneratorBundle.generator_details', index=0,
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number=1, type=11, cpp_type=10, label=1,
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has_default_value=False, default_value=None,
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message_type=None, enum_type=None, containing_type=None,
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is_extension=False, extension_scope=None,
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options=None),
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_descriptor.FieldDescriptor(
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name='bundle_details', full_name='tensorflow.magenta.GeneratorBundle.bundle_details', index=1,
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number=4, type=11, cpp_type=10, label=1,
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has_default_value=False, default_value=None,
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message_type=None, enum_type=None, containing_type=None,
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is_extension=False, extension_scope=None,
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options=None),
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_descriptor.FieldDescriptor(
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name='checkpoint_file', full_name='tensorflow.magenta.GeneratorBundle.checkpoint_file', index=2,
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number=2, type=12, cpp_type=9, label=3,
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has_default_value=False, default_value=[],
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message_type=None, enum_type=None, containing_type=None,
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is_extension=False, extension_scope=None,
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options=None),
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_descriptor.FieldDescriptor(
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name='metagraph_file', full_name='tensorflow.magenta.GeneratorBundle.metagraph_file', index=3,
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number=3, type=12, cpp_type=9, label=1,
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has_default_value=False, default_value=_b(""),
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message_type=None, enum_type=None, containing_type=None,
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is_extension=False, extension_scope=None,
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options=None),
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],
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extensions=[
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],
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nested_types=[_GENERATORBUNDLE_BUNDLEDETAILS, ],
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enum_types=[
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],
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options=None,
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is_extendable=False,
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syntax='proto3',
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extension_ranges=[],
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oneofs=[
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],
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serialized_start=556,
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serialized_end=800,
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)
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_GENERATOROPTIONS_GENERATESECTION.containing_type = _GENERATOROPTIONS
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_GENERATOROPTIONS.fields_by_name['generate_sections'].message_type = _GENERATOROPTIONS_GENERATESECTION
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_GENERATESEQUENCEREQUEST.fields_by_name['input_sequence'].message_type = magenta_dot_protobuf_dot_music__pb2._NOTESEQUENCE
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_GENERATESEQUENCEREQUEST.fields_by_name['generator_options'].message_type = _GENERATOROPTIONS
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_GENERATESEQUENCERESPONSE.fields_by_name['generated_sequence'].message_type = magenta_dot_protobuf_dot_music__pb2._NOTESEQUENCE
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_GENERATORBUNDLE_BUNDLEDETAILS.containing_type = _GENERATORBUNDLE
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_GENERATORBUNDLE.fields_by_name['generator_details'].message_type = _GENERATORDETAILS
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_GENERATORBUNDLE.fields_by_name['bundle_details'].message_type = _GENERATORBUNDLE_BUNDLEDETAILS
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DESCRIPTOR.message_types_by_name['GeneratorDetails'] = _GENERATORDETAILS
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DESCRIPTOR.message_types_by_name['GeneratorOptions'] = _GENERATOROPTIONS
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DESCRIPTOR.message_types_by_name['GenerateSequenceRequest'] = _GENERATESEQUENCEREQUEST
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DESCRIPTOR.message_types_by_name['GenerateSequenceResponse'] = _GENERATESEQUENCERESPONSE
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DESCRIPTOR.message_types_by_name['GeneratorBundle'] = _GENERATORBUNDLE
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GeneratorDetails = _reflection.GeneratedProtocolMessageType('GeneratorDetails', (_message.Message,), dict(
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DESCRIPTOR = _GENERATORDETAILS,
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__module__ = 'magenta.protobuf.generator_pb2'
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# @@protoc_insertion_point(class_scope:tensorflow.magenta.GeneratorDetails)
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))
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_sym_db.RegisterMessage(GeneratorDetails)
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GeneratorOptions = _reflection.GeneratedProtocolMessageType('GeneratorOptions', (_message.Message,), dict(
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GenerateSection = _reflection.GeneratedProtocolMessageType('GenerateSection', (_message.Message,), dict(
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DESCRIPTOR = _GENERATOROPTIONS_GENERATESECTION,
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__module__ = 'magenta.protobuf.generator_pb2'
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# @@protoc_insertion_point(class_scope:tensorflow.magenta.GeneratorOptions.GenerateSection)
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))
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,
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DESCRIPTOR = _GENERATOROPTIONS,
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__module__ = 'magenta.protobuf.generator_pb2'
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# @@protoc_insertion_point(class_scope:tensorflow.magenta.GeneratorOptions)
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))
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_sym_db.RegisterMessage(GeneratorOptions)
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_sym_db.RegisterMessage(GeneratorOptions.GenerateSection)
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GenerateSequenceRequest = _reflection.GeneratedProtocolMessageType('GenerateSequenceRequest', (_message.Message,), dict(
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DESCRIPTOR = _GENERATESEQUENCEREQUEST,
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__module__ = 'magenta.protobuf.generator_pb2'
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# @@protoc_insertion_point(class_scope:tensorflow.magenta.GenerateSequenceRequest)
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))
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_sym_db.RegisterMessage(GenerateSequenceRequest)
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GenerateSequenceResponse = _reflection.GeneratedProtocolMessageType('GenerateSequenceResponse', (_message.Message,), dict(
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DESCRIPTOR = _GENERATESEQUENCERESPONSE,
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__module__ = 'magenta.protobuf.generator_pb2'
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# @@protoc_insertion_point(class_scope:tensorflow.magenta.GenerateSequenceResponse)
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))
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_sym_db.RegisterMessage(GenerateSequenceResponse)
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GeneratorBundle = _reflection.GeneratedProtocolMessageType('GeneratorBundle', (_message.Message,), dict(
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BundleDetails = _reflection.GeneratedProtocolMessageType('BundleDetails', (_message.Message,), dict(
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DESCRIPTOR = _GENERATORBUNDLE_BUNDLEDETAILS,
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__module__ = 'magenta.protobuf.generator_pb2'
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# @@protoc_insertion_point(class_scope:tensorflow.magenta.GeneratorBundle.BundleDetails)
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))
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,
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DESCRIPTOR = _GENERATORBUNDLE,
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__module__ = 'magenta.protobuf.generator_pb2'
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# @@protoc_insertion_point(class_scope:tensorflow.magenta.GeneratorBundle)
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))
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_sym_db.RegisterMessage(GeneratorBundle)
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_sym_db.RegisterMessage(GeneratorBundle.BundleDetails)
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# @@protoc_insertion_point(module_scope)
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