text: # -*- coding: utf-8 -*-
  # Generated by the protocol buffer compiler.  DO NOT EDIT!
  # source: mediapipe/calculators/tflite/tflite_inference_calculator.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
  # @@protoc_insertion_point(imports)
  
  _sym_db = _symbol_database.Default()
  
  
  from mediapipe.framework import calculator_pb2 as mediapipe_dot_framework_dot_calculator__pb2
  try:
    mediapipe_dot_framework_dot_calculator__options__pb2 = mediapipe_dot_framework_dot_calculator__pb2.mediapipe_dot_framework_dot_calculator__options__pb2
  except AttributeError:
    mediapipe_dot_framework_dot_calculator__options__pb2 = mediapipe_dot_framework_dot_calculator__pb2.mediapipe.framework.calculator_options_pb2
  
  
  DESCRIPTOR = _descriptor.FileDescriptor(
    name='mediapipe/calculators/tflite/tflite_inference_calculator.proto',
    package='mediapipe',
    syntax='proto2',
    serialized_options=None,
    serialized_pb=_b('\n>mediapipe/calculators/tflite/tflite_inference_calculator.proto\x12\tmediapipe\x1a$mediapipe/framework/calculator.proto\"\x9a\x07\n TfLiteInferenceCalculatorOptions\x12\x12\n\nmodel_path\x18\x01 \x01(\t\x12\x1a\n\x07use_gpu\x18\x02 \x01(\x08:\x05\x66\x61lseB\x02\x18\x01\x12\x1c\n\tuse_nnapi\x18\x03 \x01(\x08:\x05\x66\x61lseB\x02\x18\x01\x12\x1a\n\x0e\x63pu_num_thread\x18\x04 \x01(\x05:\x02-1\x12\x46\n\x08\x64\x65legate\x18\x05 \x01(\x0b\x32\x34.mediapipe.TfLiteInferenceCalculatorOptions.Delegate\x1a\xe8\x04\n\x08\x44\x65legate\x12M\n\x06tflite\x18\x01 \x01(\x0b\x32;.mediapipe.TfLiteInferenceCalculatorOptions.Delegate.TfLiteH\x00\x12G\n\x03gpu\x18\x02 \x01(\x0b\x32\x38.mediapipe.TfLiteInferenceCalculatorOptions.Delegate.GpuH\x00\x12K\n\x05nnapi\x18\x03 \x01(\x0b\x32:.mediapipe.TfLiteInferenceCalculatorOptions.Delegate.NnapiH\x00\x12O\n\x07xnnpack\x18\x04 \x01(\x0b\x32<.mediapipe.TfLiteInferenceCalculatorOptions.Delegate.XnnpackH\x00\x1a\x08\n\x06TfLite\x1a\xe2\x01\n\x03Gpu\x12#\n\x14use_advanced_gpu_api\x18\x01 \x01(\x08:\x05\x66\x61lse\x12N\n\x03\x61pi\x18\x04 \x01(\x0e\x32<.mediapipe.TfLiteInferenceCalculatorOptions.Delegate.Gpu.Api:\x03\x41NY\x12\"\n\x14\x61llow_precision_loss\x18\x03 \x01(\x08:\x04true\x12\x1a\n\x12\x63\x61\x63hed_kernel_path\x18\x02 \x01(\t\"&\n\x03\x41pi\x12\x07\n\x03\x41NY\x10\x00\x12\n\n\x06OPENGL\x10\x01\x12\n\n\x06OPENCL\x10\x02\x1a\x07\n\x05Nnapi\x1a\"\n\x07Xnnpack\x12\x17\n\x0bnum_threads\x18\x01 \x01(\x05:\x02-1B\n\n\x08\x64\x65legate2Y\n\x03\x65xt\x12\x1c.mediapipe.CalculatorOptions\x18\xcd\x8f\xc2o \x01(\x0b\x32+.mediapipe.TfLiteInferenceCalculatorOptions')
    ,
    dependencies=[mediapipe_dot_framework_dot_calculator__pb2.DESCRIPTOR,])
  
  
  
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_GPU_API = _descriptor.EnumDescriptor(
    name='Api',
    full_name='mediapipe.TfLiteInferenceCalculatorOptions.Delegate.Gpu.Api',
    filename=None,
    file=DESCRIPTOR,
    values=[
      _descriptor.EnumValueDescriptor(
        name='ANY', index=0, number=0,
        serialized_options=None,
        type=None),
      _descriptor.EnumValueDescriptor(
        name='OPENGL', index=1, number=1,
        serialized_options=None,
        type=None),
      _descriptor.EnumValueDescriptor(
        name='OPENCL', index=2, number=2,
        serialized_options=None,
        type=None),
    ],
    containing_type=None,
    serialized_options=None,
    serialized_start=852,
    serialized_end=890,
  )
  _sym_db.RegisterEnumDescriptor(_TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_GPU_API)
  
  
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_TFLITE = _descriptor.Descriptor(
    name='TfLite',
    full_name='mediapipe.TfLiteInferenceCalculatorOptions.Delegate.TfLite',
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
    ],
    extensions=[
    ],
    nested_types=[],
    enum_types=[
    ],
    serialized_options=None,
    is_extendable=False,
    syntax='proto2',
    extension_ranges=[],
    oneofs=[
    ],
    serialized_start=653,
    serialized_end=661,
  )
  
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_GPU = _descriptor.Descriptor(
    name='Gpu',
    full_name='mediapipe.TfLiteInferenceCalculatorOptions.Delegate.Gpu',
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
      _descriptor.FieldDescriptor(
        name='use_advanced_gpu_api', full_name='mediapipe.TfLiteInferenceCalculatorOptions.Delegate.Gpu.use_advanced_gpu_api', index=0,
        number=1, type=8, cpp_type=7, label=1,
        has_default_value=True, default_value=False,
        message_type=None, enum_type=None, containing_type=None,
        is_extension=False, extension_scope=None,
        serialized_options=None, file=DESCRIPTOR),
      _descriptor.FieldDescriptor(
        name='api', full_name='mediapipe.TfLiteInferenceCalculatorOptions.Delegate.Gpu.api', index=1,
        number=4, type=14, cpp_type=8, label=1,
        has_default_value=True, default_value=0,
        message_type=None, enum_type=None, containing_type=None,
        is_extension=False, extension_scope=None,
        serialized_options=None, file=DESCRIPTOR),
      _descriptor.FieldDescriptor(
        name='allow_precision_loss', full_name='mediapipe.TfLiteInferenceCalculatorOptions.Delegate.Gpu.allow_precision_loss', index=2,
        number=3, type=8, cpp_type=7, label=1,
        has_default_value=True, default_value=True,
        message_type=None, enum_type=None, containing_type=None,
        is_extension=False, extension_scope=None,
        serialized_options=None, file=DESCRIPTOR),
      _descriptor.FieldDescriptor(
        name='cached_kernel_path', full_name='mediapipe.TfLiteInferenceCalculatorOptions.Delegate.Gpu.cached_kernel_path', index=3,
        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,
        serialized_options=None, file=DESCRIPTOR),
    ],
    extensions=[
    ],
    nested_types=[],
    enum_types=[
      _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_GPU_API,
    ],
    serialized_options=None,
    is_extendable=False,
    syntax='proto2',
    extension_ranges=[],
    oneofs=[
    ],
    serialized_start=664,
    serialized_end=890,
  )
  
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_NNAPI = _descriptor.Descriptor(
    name='Nnapi',
    full_name='mediapipe.TfLiteInferenceCalculatorOptions.Delegate.Nnapi',
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
    ],
    extensions=[
    ],
    nested_types=[],
    enum_types=[
    ],
    serialized_options=None,
    is_extendable=False,
    syntax='proto2',
    extension_ranges=[],
    oneofs=[
    ],
    serialized_start=892,
    serialized_end=899,
  )
  
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_XNNPACK = _descriptor.Descriptor(
    name='Xnnpack',
    full_name='mediapipe.TfLiteInferenceCalculatorOptions.Delegate.Xnnpack',
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
      _descriptor.FieldDescriptor(
        name='num_threads', full_name='mediapipe.TfLiteInferenceCalculatorOptions.Delegate.Xnnpack.num_threads', index=0,
        number=1, type=5, cpp_type=1, label=1,
        has_default_value=True, default_value=-1,
        message_type=None, enum_type=None, containing_type=None,
        is_extension=False, extension_scope=None,
        serialized_options=None, file=DESCRIPTOR),
    ],
    extensions=[
    ],
    nested_types=[],
    enum_types=[
    ],
    serialized_options=None,
    is_extendable=False,
    syntax='proto2',
    extension_ranges=[],
    oneofs=[
    ],
    serialized_start=901,
    serialized_end=935,
  )
  
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE = _descriptor.Descriptor(
    name='Delegate',
    full_name='mediapipe.TfLiteInferenceCalculatorOptions.Delegate',
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
      _descriptor.FieldDescriptor(
        name='tflite', full_name='mediapipe.TfLiteInferenceCalculatorOptions.Delegate.tflite', 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,
        serialized_options=None, file=DESCRIPTOR),
      _descriptor.FieldDescriptor(
        name='gpu', full_name='mediapipe.TfLiteInferenceCalculatorOptions.Delegate.gpu', 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,
        serialized_options=None, file=DESCRIPTOR),
      _descriptor.FieldDescriptor(
        name='nnapi', full_name='mediapipe.TfLiteInferenceCalculatorOptions.Delegate.nnapi', index=2,
        number=3, 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,
        serialized_options=None, file=DESCRIPTOR),
      _descriptor.FieldDescriptor(
        name='xnnpack', full_name='mediapipe.TfLiteInferenceCalculatorOptions.Delegate.xnnpack', index=3,
        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,
        serialized_options=None, file=DESCRIPTOR),
    ],
    extensions=[
    ],
    nested_types=[_TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_TFLITE, _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_GPU, _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_NNAPI, _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_XNNPACK, ],
    enum_types=[
    ],
    serialized_options=None,
    is_extendable=False,
    syntax='proto2',
    extension_ranges=[],
    oneofs=[
      _descriptor.OneofDescriptor(
        name='delegate', full_name='mediapipe.TfLiteInferenceCalculatorOptions.Delegate.delegate',
        index=0, containing_type=None, fields=[]),
    ],
    serialized_start=331,
    serialized_end=947,
  )
  
  _TFLITEINFERENCECALCULATOROPTIONS = _descriptor.Descriptor(
    name='TfLiteInferenceCalculatorOptions',
    full_name='mediapipe.TfLiteInferenceCalculatorOptions',
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
      _descriptor.FieldDescriptor(
        name='model_path', full_name='mediapipe.TfLiteInferenceCalculatorOptions.model_path', 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,
        serialized_options=None, file=DESCRIPTOR),
      _descriptor.FieldDescriptor(
        name='use_gpu', full_name='mediapipe.TfLiteInferenceCalculatorOptions.use_gpu', index=1,
        number=2, type=8, cpp_type=7, label=1,
        has_default_value=True, default_value=False,
        message_type=None, enum_type=None, containing_type=None,
        is_extension=False, extension_scope=None,
        serialized_options=_b('\030\001'), file=DESCRIPTOR),
      _descriptor.FieldDescriptor(
        name='use_nnapi', full_name='mediapipe.TfLiteInferenceCalculatorOptions.use_nnapi', index=2,
        number=3, type=8, cpp_type=7, label=1,
        has_default_value=True, default_value=False,
        message_type=None, enum_type=None, containing_type=None,
        is_extension=False, extension_scope=None,
        serialized_options=_b('\030\001'), file=DESCRIPTOR),
      _descriptor.FieldDescriptor(
        name='cpu_num_thread', full_name='mediapipe.TfLiteInferenceCalculatorOptions.cpu_num_thread', index=3,
        number=4, type=5, cpp_type=1, label=1,
        has_default_value=True, default_value=-1,
        message_type=None, enum_type=None, containing_type=None,
        is_extension=False, extension_scope=None,
        serialized_options=None, file=DESCRIPTOR),
      _descriptor.FieldDescriptor(
        name='delegate', full_name='mediapipe.TfLiteInferenceCalculatorOptions.delegate', index=4,
        number=5, 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,
        serialized_options=None, file=DESCRIPTOR),
    ],
    extensions=[
      _descriptor.FieldDescriptor(
        name='ext', full_name='mediapipe.TfLiteInferenceCalculatorOptions.ext', index=0,
        number=233867213, 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=True, extension_scope=None,
        serialized_options=None, file=DESCRIPTOR),
    ],
    nested_types=[_TFLITEINFERENCECALCULATOROPTIONS_DELEGATE, ],
    enum_types=[
    ],
    serialized_options=None,
    is_extendable=False,
    syntax='proto2',
    extension_ranges=[],
    oneofs=[
    ],
    serialized_start=116,
    serialized_end=1038,
  )
  
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_TFLITE.containing_type = _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_GPU.fields_by_name['api'].enum_type = _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_GPU_API
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_GPU.containing_type = _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_GPU_API.containing_type = _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_GPU
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_NNAPI.containing_type = _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_XNNPACK.containing_type = _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE.fields_by_name['tflite'].message_type = _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_TFLITE
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE.fields_by_name['gpu'].message_type = _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_GPU
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE.fields_by_name['nnapi'].message_type = _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_NNAPI
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE.fields_by_name['xnnpack'].message_type = _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_XNNPACK
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE.containing_type = _TFLITEINFERENCECALCULATOROPTIONS
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE.oneofs_by_name['delegate'].fields.append(
    _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE.fields_by_name['tflite'])
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE.fields_by_name['tflite'].containing_oneof = _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE.oneofs_by_name['delegate']
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE.oneofs_by_name['delegate'].fields.append(
    _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE.fields_by_name['gpu'])
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE.fields_by_name['gpu'].containing_oneof = _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE.oneofs_by_name['delegate']
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE.oneofs_by_name['delegate'].fields.append(
    _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE.fields_by_name['nnapi'])
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE.fields_by_name['nnapi'].containing_oneof = _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE.oneofs_by_name['delegate']
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE.oneofs_by_name['delegate'].fields.append(
    _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE.fields_by_name['xnnpack'])
  _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE.fields_by_name['xnnpack'].containing_oneof = _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE.oneofs_by_name['delegate']
  _TFLITEINFERENCECALCULATOROPTIONS.fields_by_name['delegate'].message_type = _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE
  DESCRIPTOR.message_types_by_name['TfLiteInferenceCalculatorOptions'] = _TFLITEINFERENCECALCULATOROPTIONS
  _sym_db.RegisterFileDescriptor(DESCRIPTOR)
  
  TfLiteInferenceCalculatorOptions = _reflection.GeneratedProtocolMessageType('TfLiteInferenceCalculatorOptions', (_message.Message,), dict(
  
    Delegate = _reflection.GeneratedProtocolMessageType('Delegate', (_message.Message,), dict(
  
      TfLite = _reflection.GeneratedProtocolMessageType('TfLite', (_message.Message,), dict(
        DESCRIPTOR = _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_TFLITE,
        __module__ = 'mediapipe.calculators.tflite.tflite_inference_calculator_pb2'
        # @@protoc_insertion_point(class_scope:mediapipe.TfLiteInferenceCalculatorOptions.Delegate.TfLite)
        ))
      ,
  
      Gpu = _reflection.GeneratedProtocolMessageType('Gpu', (_message.Message,), dict(
        DESCRIPTOR = _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_GPU,
        __module__ = 'mediapipe.calculators.tflite.tflite_inference_calculator_pb2'
        # @@protoc_insertion_point(class_scope:mediapipe.TfLiteInferenceCalculatorOptions.Delegate.Gpu)
        ))
      ,
  
      Nnapi = _reflection.GeneratedProtocolMessageType('Nnapi', (_message.Message,), dict(
        DESCRIPTOR = _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_NNAPI,
        __module__ = 'mediapipe.calculators.tflite.tflite_inference_calculator_pb2'
        # @@protoc_insertion_point(class_scope:mediapipe.TfLiteInferenceCalculatorOptions.Delegate.Nnapi)
        ))
      ,
  
      Xnnpack = _reflection.GeneratedProtocolMessageType('Xnnpack', (_message.Message,), dict(
        DESCRIPTOR = _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE_XNNPACK,
        __module__ = 'mediapipe.calculators.tflite.tflite_inference_calculator_pb2'
        # @@protoc_insertion_point(class_scope:mediapipe.TfLiteInferenceCalculatorOptions.Delegate.Xnnpack)
        ))
      ,
      DESCRIPTOR = _TFLITEINFERENCECALCULATOROPTIONS_DELEGATE,
      __module__ = 'mediapipe.calculators.tflite.tflite_inference_calculator_pb2'
      # @@protoc_insertion_point(class_scope:mediapipe.TfLiteInferenceCalculatorOptions.Delegate)
      ))
    ,
    DESCRIPTOR = _TFLITEINFERENCECALCULATOROPTIONS,
    __module__ = 'mediapipe.calculators.tflite.tflite_inference_calculator_pb2'
    # @@protoc_insertion_point(class_scope:mediapipe.TfLiteInferenceCalculatorOptions)
    ))
  _sym_db.RegisterMessage(TfLiteInferenceCalculatorOptions)
  _sym_db.RegisterMessage(TfLiteInferenceCalculatorOptions.Delegate)
  _sym_db.RegisterMessage(TfLiteInferenceCalculatorOptions.Delegate.TfLite)
  _sym_db.RegisterMessage(TfLiteInferenceCalculatorOptions.Delegate.Gpu)
  _sym_db.RegisterMessage(TfLiteInferenceCalculatorOptions.Delegate.Nnapi)
  _sym_db.RegisterMessage(TfLiteInferenceCalculatorOptions.Delegate.Xnnpack)
  
  _TFLITEINFERENCECALCULATOROPTIONS.extensions_by_name['ext'].message_type = _TFLITEINFERENCECALCULATOROPTIONS
  mediapipe_dot_framework_dot_calculator__options__pb2.CalculatorOptions.RegisterExtension(_TFLITEINFERENCECALCULATOROPTIONS.extensions_by_name['ext'])
  
  _TFLITEINFERENCECALCULATOROPTIONS.fields_by_name['use_gpu']._options = None
  _TFLITEINFERENCECALCULATOROPTIONS.fields_by_name['use_nnapi']._options = None
  # @@protoc_insertion_point(module_scope)
  