# Generated by the protocol buffer compiler. DO NOT EDIT! # source: magenta/protobuf/generator.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database from google.protobuf import descriptor_pb2 # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() from magenta.protobuf import music_pb2 as magenta_dot_protobuf_dot_music__pb2 DESCRIPTOR = _descriptor.FileDescriptor( name='magenta/protobuf/generator.proto', package='tensorflow.magenta', syntax='proto3', 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') , dependencies=[magenta_dot_protobuf_dot_music__pb2.DESCRIPTOR,]) _sym_db.RegisterFileDescriptor(DESCRIPTOR) _GENERATORDETAILS = _descriptor.Descriptor( name='GeneratorDetails', full_name='tensorflow.magenta.GeneratorDetails', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='id', full_name='tensorflow.magenta.GeneratorDetails.id', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='description', full_name='tensorflow.magenta.GeneratorDetails.description', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=86, serialized_end=137, ) _GENERATOROPTIONS_GENERATESECTION = _descriptor.Descriptor( name='GenerateSection', full_name='tensorflow.magenta.GeneratorOptions.GenerateSection', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='start_time_seconds', full_name='tensorflow.magenta.GeneratorOptions.GenerateSection.start_time_seconds', index=0, number=1, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='end_time_seconds', full_name='tensorflow.magenta.GeneratorOptions.GenerateSection.end_time_seconds', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=241, serialized_end=312, ) _GENERATOROPTIONS = _descriptor.Descriptor( name='GeneratorOptions', full_name='tensorflow.magenta.GeneratorOptions', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='generate_sections', full_name='tensorflow.magenta.GeneratorOptions.generate_sections', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[_GENERATOROPTIONS_GENERATESECTION, ], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=140, serialized_end=312, ) _GENERATESEQUENCEREQUEST = _descriptor.Descriptor( name='GenerateSequenceRequest', full_name='tensorflow.magenta.GenerateSequenceRequest', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='input_sequence', full_name='tensorflow.magenta.GenerateSequenceRequest.input_sequence', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='generator_options', full_name='tensorflow.magenta.GenerateSequenceRequest.generator_options', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=315, serialized_end=463, ) _GENERATESEQUENCERESPONSE = _descriptor.Descriptor( name='GenerateSequenceResponse', full_name='tensorflow.magenta.GenerateSequenceResponse', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='generated_sequence', full_name='tensorflow.magenta.GenerateSequenceResponse.generated_sequence', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=465, serialized_end=553, ) _GENERATORBUNDLE_BUNDLEDETAILS = _descriptor.Descriptor( name='BundleDetails', full_name='tensorflow.magenta.GeneratorBundle.BundleDetails', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='description', full_name='tensorflow.magenta.GeneratorBundle.BundleDetails.description', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=764, serialized_end=800, ) _GENERATORBUNDLE = _descriptor.Descriptor( name='GeneratorBundle', full_name='tensorflow.magenta.GeneratorBundle', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='generator_details', full_name='tensorflow.magenta.GeneratorBundle.generator_details', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='bundle_details', full_name='tensorflow.magenta.GeneratorBundle.bundle_details', index=1, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='checkpoint_file', full_name='tensorflow.magenta.GeneratorBundle.checkpoint_file', index=2, number=2, type=12, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='metagraph_file', full_name='tensorflow.magenta.GeneratorBundle.metagraph_file', index=3, number=3, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[_GENERATORBUNDLE_BUNDLEDETAILS, ], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=556, serialized_end=800, ) _GENERATOROPTIONS_GENERATESECTION.containing_type = _GENERATOROPTIONS _GENERATOROPTIONS.fields_by_name['generate_sections'].message_type = _GENERATOROPTIONS_GENERATESECTION _GENERATESEQUENCEREQUEST.fields_by_name['input_sequence'].message_type = magenta_dot_protobuf_dot_music__pb2._NOTESEQUENCE _GENERATESEQUENCEREQUEST.fields_by_name['generator_options'].message_type = _GENERATOROPTIONS _GENERATESEQUENCERESPONSE.fields_by_name['generated_sequence'].message_type = magenta_dot_protobuf_dot_music__pb2._NOTESEQUENCE _GENERATORBUNDLE_BUNDLEDETAILS.containing_type = _GENERATORBUNDLE _GENERATORBUNDLE.fields_by_name['generator_details'].message_type = _GENERATORDETAILS _GENERATORBUNDLE.fields_by_name['bundle_details'].message_type = _GENERATORBUNDLE_BUNDLEDETAILS DESCRIPTOR.message_types_by_name['GeneratorDetails'] = _GENERATORDETAILS DESCRIPTOR.message_types_by_name['GeneratorOptions'] = _GENERATOROPTIONS DESCRIPTOR.message_types_by_name['GenerateSequenceRequest'] = _GENERATESEQUENCEREQUEST DESCRIPTOR.message_types_by_name['GenerateSequenceResponse'] = _GENERATESEQUENCERESPONSE DESCRIPTOR.message_types_by_name['GeneratorBundle'] = _GENERATORBUNDLE GeneratorDetails = _reflection.GeneratedProtocolMessageType('GeneratorDetails', (_message.Message,), dict( DESCRIPTOR = _GENERATORDETAILS, __module__ = 'magenta.protobuf.generator_pb2' # @@protoc_insertion_point(class_scope:tensorflow.magenta.GeneratorDetails) )) _sym_db.RegisterMessage(GeneratorDetails) GeneratorOptions = _reflection.GeneratedProtocolMessageType('GeneratorOptions', (_message.Message,), dict( GenerateSection = _reflection.GeneratedProtocolMessageType('GenerateSection', (_message.Message,), dict( DESCRIPTOR = _GENERATOROPTIONS_GENERATESECTION, __module__ = 'magenta.protobuf.generator_pb2' # @@protoc_insertion_point(class_scope:tensorflow.magenta.GeneratorOptions.GenerateSection) )) , DESCRIPTOR = _GENERATOROPTIONS, __module__ = 'magenta.protobuf.generator_pb2' # @@protoc_insertion_point(class_scope:tensorflow.magenta.GeneratorOptions) )) _sym_db.RegisterMessage(GeneratorOptions) _sym_db.RegisterMessage(GeneratorOptions.GenerateSection) GenerateSequenceRequest = _reflection.GeneratedProtocolMessageType('GenerateSequenceRequest', (_message.Message,), dict( DESCRIPTOR = _GENERATESEQUENCEREQUEST, __module__ = 'magenta.protobuf.generator_pb2' # @@protoc_insertion_point(class_scope:tensorflow.magenta.GenerateSequenceRequest) )) _sym_db.RegisterMessage(GenerateSequenceRequest) GenerateSequenceResponse = _reflection.GeneratedProtocolMessageType('GenerateSequenceResponse', (_message.Message,), dict( DESCRIPTOR = _GENERATESEQUENCERESPONSE, __module__ = 'magenta.protobuf.generator_pb2' # @@protoc_insertion_point(class_scope:tensorflow.magenta.GenerateSequenceResponse) )) _sym_db.RegisterMessage(GenerateSequenceResponse) GeneratorBundle = _reflection.GeneratedProtocolMessageType('GeneratorBundle', (_message.Message,), dict( BundleDetails = _reflection.GeneratedProtocolMessageType('BundleDetails', (_message.Message,), dict( DESCRIPTOR = _GENERATORBUNDLE_BUNDLEDETAILS, __module__ = 'magenta.protobuf.generator_pb2' # @@protoc_insertion_point(class_scope:tensorflow.magenta.GeneratorBundle.BundleDetails) )) , DESCRIPTOR = _GENERATORBUNDLE, __module__ = 'magenta.protobuf.generator_pb2' # @@protoc_insertion_point(class_scope:tensorflow.magenta.GeneratorBundle) )) _sym_db.RegisterMessage(GeneratorBundle) _sym_db.RegisterMessage(GeneratorBundle.BundleDetails) # @@protoc_insertion_point(module_scope)