Source code for snapchat.research.gbml.trained_model_metadata_pb2

"""
@generated by mypy-protobuf.  Do not edit manually!
isort:skip_file
"""
import builtins
import google.protobuf.descriptor
import google.protobuf.message
import sys

if sys.version_info >= (3, 8):
    import typing as typing_extensions
else:
    import typing_extensions

[docs] DESCRIPTOR: google.protobuf.descriptor.FileDescriptor
[docs] class TrainedModelMetadata(google.protobuf.message.Message):
[docs] DESCRIPTOR: google.protobuf.descriptor.Descriptor
[docs] TRAINED_MODEL_URI_FIELD_NUMBER: builtins.int
[docs] SCRIPTED_MODEL_URI_FIELD_NUMBER: builtins.int
[docs] EVAL_METRICS_URI_FIELD_NUMBER: builtins.int
[docs] TENSORBOARD_LOGS_URI_FIELD_NUMBER: builtins.int
[docs] trained_model_uri: builtins.str
"""The path to a trained PyTorch model."""
[docs] scripted_model_uri: builtins.str
"""The path to above model which is TorchScripted."""
[docs] eval_metrics_uri: builtins.str
"""The path where evaluation metrics are stored"""
[docs] tensorboard_logs_uri: builtins.str
"""Path where tensorboard logs will be stored""" def __init__( self, *, trained_model_uri: builtins.str = ..., scripted_model_uri: builtins.str = ..., eval_metrics_uri: builtins.str = ..., tensorboard_logs_uri: builtins.str = ..., ) -> None: ...
[docs] def ClearField(self, field_name: typing_extensions.Literal["eval_metrics_uri", b"eval_metrics_uri", "scripted_model_uri", b"scripted_model_uri", "tensorboard_logs_uri", b"tensorboard_logs_uri", "trained_model_uri", b"trained_model_uri"]) -> None: ...
[docs] global___TrainedModelMetadata = TrainedModelMetadata