viam.gen.app.mltraining.v1.ml_training_pb2

@generated by mypy-protobuf. Do not edit manually! isort:skip_file

Attributes

`DESCRIPTOR`
`MODEL_TYPE_UNSPECIFIED`
`MODEL_TYPE_SINGLE_LABEL_CLASSIFICATION`
`MODEL_TYPE_MULTI_LABEL_CLASSIFICATION`
`MODEL_TYPE_OBJECT_DETECTION`
`Global___ModelType`
`MODEL_FRAMEWORK_UNSPECIFIED`
`MODEL_FRAMEWORK_TFLITE`
`MODEL_FRAMEWORK_TENSORFLOW`
`MODEL_FRAMEWORK_PYTORCH`
`MODEL_FRAMEWORK_ONNX`
`Global___ModelFramework`
`TRAINING_STATUS_UNSPECIFIED`
`TRAINING_STATUS_PENDING`
`TRAINING_STATUS_IN_PROGRESS`
`TRAINING_STATUS_COMPLETED`
`TRAINING_STATUS_FAILED`
`TRAINING_STATUS_CANCELED`
`TRAINING_STATUS_CANCELING`
`Global___TrainingStatus`
`Global___SubmitTrainingJobRequest`
`Global___SubmitTrainingJobResponse`
`Global___SubmitCustomTrainingJobRequest`
`Global___SubmitCustomTrainingJobResponse`
`Global___GetTrainingJobRequest`
`Global___GetTrainingJobResponse`
`Global___ListTrainingJobsRequest`
`Global___ListTrainingJobsResponse`
`Global___TrainingJobMetadata`
`Global___CancelTrainingJobRequest`
`Global___CancelTrainingJobResponse`
`Global___DeleteCompletedTrainingJobRequest`
`Global___DeleteCompletedTrainingJobResponse`
`Global___TrainingJobLogEntry`
`Global___GetTrainingJobLogsRequest`
`Global___GetTrainingJobLogsResponse`
`Global___ListSupportedContainersRequest`
`Global___ListSupportedContainersResponse`
`Global___Container`

Classes

`ModelType`
`ModelFramework`
`TrainingStatus`
`SubmitTrainingJobRequest`	Abstract base class for protocol messages.
`SubmitTrainingJobResponse`	Abstract base class for protocol messages.
`SubmitCustomTrainingJobRequest`	Abstract base class for protocol messages.
`SubmitCustomTrainingJobResponse`	Abstract base class for protocol messages.
`GetTrainingJobRequest`	Abstract base class for protocol messages.
`GetTrainingJobResponse`	Abstract base class for protocol messages.
`ListTrainingJobsRequest`	Abstract base class for protocol messages.
`ListTrainingJobsResponse`	Abstract base class for protocol messages.
`TrainingJobMetadata`	Abstract base class for protocol messages.
`CancelTrainingJobRequest`	Abstract base class for protocol messages.
`CancelTrainingJobResponse`	Abstract base class for protocol messages.
`DeleteCompletedTrainingJobRequest`	Abstract base class for protocol messages.
`DeleteCompletedTrainingJobResponse`	Abstract base class for protocol messages.
`TrainingJobLogEntry`	Abstract base class for protocol messages.
`GetTrainingJobLogsRequest`	Abstract base class for protocol messages.
`GetTrainingJobLogsResponse`	Abstract base class for protocol messages.
`ListSupportedContainersRequest`	Abstract base class for protocol messages.
`ListSupportedContainersResponse`	Abstract base class for protocol messages.
`Container`	Abstract base class for protocol messages.

Module Contents

viam.gen.app.mltraining.v1.ml_training_pb2.DESCRIPTOR: google.protobuf.descriptor.FileDescriptor

class viam.gen.app.mltraining.v1.ml_training_pb2.ModelType: Bases: _ModelType

viam.gen.app.mltraining.v1.ml_training_pb2.MODEL_TYPE_UNSPECIFIED: ModelType

viam.gen.app.mltraining.v1.ml_training_pb2.MODEL_TYPE_SINGLE_LABEL_CLASSIFICATION: ModelType

viam.gen.app.mltraining.v1.ml_training_pb2.MODEL_TYPE_MULTI_LABEL_CLASSIFICATION: ModelType

viam.gen.app.mltraining.v1.ml_training_pb2.MODEL_TYPE_OBJECT_DETECTION: ModelType

type viam.gen.app.mltraining.v1.ml_training_pb2.Global___ModelType = ModelType

class viam.gen.app.mltraining.v1.ml_training_pb2.ModelFramework: Bases: _ModelFramework

viam.gen.app.mltraining.v1.ml_training_pb2.MODEL_FRAMEWORK_UNSPECIFIED: ModelFramework

viam.gen.app.mltraining.v1.ml_training_pb2.MODEL_FRAMEWORK_TFLITE: ModelFramework

viam.gen.app.mltraining.v1.ml_training_pb2.MODEL_FRAMEWORK_TENSORFLOW: ModelFramework

viam.gen.app.mltraining.v1.ml_training_pb2.MODEL_FRAMEWORK_PYTORCH: ModelFramework

viam.gen.app.mltraining.v1.ml_training_pb2.MODEL_FRAMEWORK_ONNX: ModelFramework

type viam.gen.app.mltraining.v1.ml_training_pb2.Global___ModelFramework = ModelFramework

class viam.gen.app.mltraining.v1.ml_training_pb2.TrainingStatus: Bases: _TrainingStatus

viam.gen.app.mltraining.v1.ml_training_pb2.TRAINING_STATUS_UNSPECIFIED: TrainingStatus

viam.gen.app.mltraining.v1.ml_training_pb2.TRAINING_STATUS_PENDING: TrainingStatus

viam.gen.app.mltraining.v1.ml_training_pb2.TRAINING_STATUS_IN_PROGRESS: TrainingStatus

viam.gen.app.mltraining.v1.ml_training_pb2.TRAINING_STATUS_COMPLETED: TrainingStatus

viam.gen.app.mltraining.v1.ml_training_pb2.TRAINING_STATUS_FAILED: TrainingStatus

viam.gen.app.mltraining.v1.ml_training_pb2.TRAINING_STATUS_CANCELED: TrainingStatus

viam.gen.app.mltraining.v1.ml_training_pb2.TRAINING_STATUS_CANCELING: TrainingStatus

type viam.gen.app.mltraining.v1.ml_training_pb2.Global___TrainingStatus = TrainingStatus

class viam.gen.app.mltraining.v1.ml_training_pb2.SubmitTrainingJobRequest(*, dataset_id: str = ..., organization_id: str = ..., model_name: str = ..., model_version: str = ..., model_type: Global___ModelType = ..., model_framework: Global___ModelFramework = ..., tags: collections.abc.Iterable[str] | None = ...)

Bases: google.protobuf.message.Message

Abstract base class for protocol messages.

Protocol message classes are almost always generated by the protocol compiler. These generated types subclass Message and implement the methods shown below.

dataset_id: str

organization_id: str

model_name: str

model_version: str

model_type: Global___ModelType

model_framework: Global___ModelFramework

tags() → google.protobuf.internal.containers.RepeatedScalarFieldContainer[str]

type viam.gen.app.mltraining.v1.ml_training_pb2.Global___SubmitTrainingJobRequest = SubmitTrainingJobRequest

class viam.gen.app.mltraining.v1.ml_training_pb2.SubmitTrainingJobResponse(*, id: str = ...)

Bases: google.protobuf.message.Message

Abstract base class for protocol messages.

Protocol message classes are almost always generated by the protocol compiler. These generated types subclass Message and implement the methods shown below.

id: str

type viam.gen.app.mltraining.v1.ml_training_pb2.Global___SubmitTrainingJobResponse = SubmitTrainingJobResponse

class viam.gen.app.mltraining.v1.ml_training_pb2.SubmitCustomTrainingJobRequest(*, dataset_id: str = ..., registry_item_id: str = ..., registry_item_version: str = ..., organization_id: str = ..., model_name: str = ..., model_version: str = ..., arguments: collections.abc.Mapping[str, str] | None = ..., container_version: str = ...)

Bases: google.protobuf.message.Message

Abstract base class for protocol messages.

Protocol message classes are almost always generated by the protocol compiler. These generated types subclass Message and implement the methods shown below.

class ArgumentsEntry(*, key: str = ..., value: str = ...)

Bases: google.protobuf.message.Message

Abstract base class for protocol messages.

Protocol message classes are almost always generated by the protocol compiler. These generated types subclass Message and implement the methods shown below.

key: str

value: str

dataset_id: str

registry_item_id: str

registry_item_version: str

organization_id: str

model_name: str

model_version: str

container_version: str

arguments() → google.protobuf.internal.containers.ScalarMap[str, str]

type viam.gen.app.mltraining.v1.ml_training_pb2.Global___SubmitCustomTrainingJobRequest = SubmitCustomTrainingJobRequest

class viam.gen.app.mltraining.v1.ml_training_pb2.SubmitCustomTrainingJobResponse(*, id: str = ...)

Bases: google.protobuf.message.Message

Abstract base class for protocol messages.

Protocol message classes are almost always generated by the protocol compiler. These generated types subclass Message and implement the methods shown below.

id: str

type viam.gen.app.mltraining.v1.ml_training_pb2.Global___SubmitCustomTrainingJobResponse = SubmitCustomTrainingJobResponse

class viam.gen.app.mltraining.v1.ml_training_pb2.GetTrainingJobRequest(*, id: str = ...)

Bases: google.protobuf.message.Message

Abstract base class for protocol messages.

Protocol message classes are almost always generated by the protocol compiler. These generated types subclass Message and implement the methods shown below.

id: str

type viam.gen.app.mltraining.v1.ml_training_pb2.Global___GetTrainingJobRequest = GetTrainingJobRequest

class viam.gen.app.mltraining.v1.ml_training_pb2.GetTrainingJobResponse(*, metadata: Global___TrainingJobMetadata | None = ...)

Bases: google.protobuf.message.Message

Abstract base class for protocol messages.

Protocol message classes are almost always generated by the protocol compiler. These generated types subclass Message and implement the methods shown below.

metadata() → Global___TrainingJobMetadata

HasField(field_name: _HasFieldArgType) → bool

Checks if a certain field is set for the message.

For a oneof group, checks if any field inside is set. Note that if the field_name is not defined in the message descriptor, ValueError will be raised.

Parameters:: field_name (str) – The name of the field to check for presence.
Returns:: Whether a value has been set for the named field.
Return type:: bool
Raises:: ValueError – if the field_name is not a member of this message.

type viam.gen.app.mltraining.v1.ml_training_pb2.Global___GetTrainingJobResponse = GetTrainingJobResponse

class viam.gen.app.mltraining.v1.ml_training_pb2.ListTrainingJobsRequest(*, organization_id: str = ..., status: Global___TrainingStatus = ...)

Bases: google.protobuf.message.Message

Abstract base class for protocol messages.

Protocol message classes are almost always generated by the protocol compiler. These generated types subclass Message and implement the methods shown below.

organization_id: str

status: Global___TrainingStatus

type viam.gen.app.mltraining.v1.ml_training_pb2.Global___ListTrainingJobsRequest = ListTrainingJobsRequest

class viam.gen.app.mltraining.v1.ml_training_pb2.ListTrainingJobsResponse(*, jobs: collections.abc.Iterable[Global___TrainingJobMetadata] | None = ...)

Bases: google.protobuf.message.Message

Abstract base class for protocol messages.

Protocol message classes are almost always generated by the protocol compiler. These generated types subclass Message and implement the methods shown below.

jobs() → google.protobuf.internal.containers.RepeatedCompositeFieldContainer[Global___TrainingJobMetadata]

type viam.gen.app.mltraining.v1.ml_training_pb2.Global___ListTrainingJobsResponse = ListTrainingJobsResponse

class viam.gen.app.mltraining.v1.ml_training_pb2.TrainingJobMetadata(*, id: str = ..., dataset_id: str = ..., organization_id: str = ..., model_name: str = ..., model_version: str = ..., model_type: Global___ModelType = ..., model_framework: Global___ModelFramework = ..., is_custom_job: bool = ..., registry_item_id: str = ..., registry_item_version: str = ..., status: Global___TrainingStatus = ..., error_status: google.rpc.status_pb2.Status | None = ..., created_on: google.protobuf.timestamp_pb2.Timestamp | None = ..., last_modified: google.protobuf.timestamp_pb2.Timestamp | None = ..., training_started: google.protobuf.timestamp_pb2.Timestamp | None = ..., training_ended: google.protobuf.timestamp_pb2.Timestamp | None = ..., synced_model_id: str = ..., tags: collections.abc.Iterable[str] | None = ..., arguments: collections.abc.Mapping[str, str] | None = ..., container_version: str = ...)

Bases: google.protobuf.message.Message

Abstract base class for protocol messages.

Protocol message classes are almost always generated by the protocol compiler. These generated types subclass Message and implement the methods shown below.

class ArgumentsEntry(*, key: str = ..., value: str = ...)

Bases: google.protobuf.message.Message

Abstract base class for protocol messages.

Protocol message classes are almost always generated by the protocol compiler. These generated types subclass Message and implement the methods shown below.

key: str

value: str

id: str

dataset_id: str

organization_id: str

model_name: str

model_version: str

model_type: Global___ModelType

model_framework: Global___ModelFramework

is_custom_job: bool

registry_item_id: str

registry_item_version: str

status: Global___TrainingStatus

synced_model_id: str

container_version: str

error_status() → google.rpc.status_pb2.Status

created_on() → google.protobuf.timestamp_pb2.Timestamp

last_modified() → google.protobuf.timestamp_pb2.Timestamp

training_started() → google.protobuf.timestamp_pb2.Timestamp

training_ended() → google.protobuf.timestamp_pb2.Timestamp

tags() → google.protobuf.internal.containers.RepeatedScalarFieldContainer[str]

arguments() → google.protobuf.internal.containers.ScalarMap[str, str]

HasField(field_name: _HasFieldArgType) → bool

Checks if a certain field is set for the message.

For a oneof group, checks if any field inside is set. Note that if the field_name is not defined in the message descriptor, ValueError will be raised.

Parameters:: field_name (str) – The name of the field to check for presence.
Returns:: Whether a value has been set for the named field.
Return type:: bool
Raises:: ValueError – if the field_name is not a member of this message.

type viam.gen.app.mltraining.v1.ml_training_pb2.Global___TrainingJobMetadata = TrainingJobMetadata

class viam.gen.app.mltraining.v1.ml_training_pb2.CancelTrainingJobRequest(*, id: str = ...)

Bases: google.protobuf.message.Message

Abstract base class for protocol messages.

Protocol message classes are almost always generated by the protocol compiler. These generated types subclass Message and implement the methods shown below.

id: str

type viam.gen.app.mltraining.v1.ml_training_pb2.Global___CancelTrainingJobRequest = CancelTrainingJobRequest

class viam.gen.app.mltraining.v1.ml_training_pb2.CancelTrainingJobResponse

Bases: google.protobuf.message.Message

Abstract base class for protocol messages.

Protocol message classes are almost always generated by the protocol compiler. These generated types subclass Message and implement the methods shown below.

type viam.gen.app.mltraining.v1.ml_training_pb2.Global___CancelTrainingJobResponse = CancelTrainingJobResponse

class viam.gen.app.mltraining.v1.ml_training_pb2.DeleteCompletedTrainingJobRequest(*, id: str = ...)

Bases: google.protobuf.message.Message

Abstract base class for protocol messages.

Protocol message classes are almost always generated by the protocol compiler. These generated types subclass Message and implement the methods shown below.

id: str

type viam.gen.app.mltraining.v1.ml_training_pb2.Global___DeleteCompletedTrainingJobRequest = DeleteCompletedTrainingJobRequest

class viam.gen.app.mltraining.v1.ml_training_pb2.DeleteCompletedTrainingJobResponse

Bases: google.protobuf.message.Message

Abstract base class for protocol messages.

Protocol message classes are almost always generated by the protocol compiler. These generated types subclass Message and implement the methods shown below.

type viam.gen.app.mltraining.v1.ml_training_pb2.Global___DeleteCompletedTrainingJobResponse = DeleteCompletedTrainingJobResponse

class viam.gen.app.mltraining.v1.ml_training_pb2.TrainingJobLogEntry(*, level: str = ..., time: google.protobuf.timestamp_pb2.Timestamp | None = ..., message: str = ...)

Bases: google.protobuf.message.Message

Abstract base class for protocol messages.

Protocol message classes are almost always generated by the protocol compiler. These generated types subclass Message and implement the methods shown below.

level: str

message: str

time() → google.protobuf.timestamp_pb2.Timestamp

HasField(field_name: _HasFieldArgType) → bool

Checks if a certain field is set for the message.

For a oneof group, checks if any field inside is set. Note that if the field_name is not defined in the message descriptor, ValueError will be raised.

Parameters:: field_name (str) – The name of the field to check for presence.
Returns:: Whether a value has been set for the named field.
Return type:: bool
Raises:: ValueError – if the field_name is not a member of this message.

type viam.gen.app.mltraining.v1.ml_training_pb2.Global___TrainingJobLogEntry = TrainingJobLogEntry

class viam.gen.app.mltraining.v1.ml_training_pb2.GetTrainingJobLogsRequest(*, id: str = ..., page_token: str | None = ...)

Bases: google.protobuf.message.Message

Abstract base class for protocol messages.

Protocol message classes are almost always generated by the protocol compiler. These generated types subclass Message and implement the methods shown below.

id: str

page_token: str

HasField(field_name: _HasFieldArgType) → bool

Checks if a certain field is set for the message.

For a oneof group, checks if any field inside is set. Note that if the field_name is not defined in the message descriptor, ValueError will be raised.

Parameters:: field_name (str) – The name of the field to check for presence.
Returns:: Whether a value has been set for the named field.
Return type:: bool
Raises:: ValueError – if the field_name is not a member of this message.

WhichOneof(oneof_group: _WhichOneofArgType__page_token) → _WhichOneofReturnType__page_token | None

Returns the name of the field that is set inside a oneof group.

If no field is set, returns None.

Parameters:: oneof_group (str) – the name of the oneof group to check.
Returns:: The name of the group that is set, or None.
Return type:: str or None
Raises:: ValueError – no group with the given name exists

type viam.gen.app.mltraining.v1.ml_training_pb2.Global___GetTrainingJobLogsRequest = GetTrainingJobLogsRequest

class viam.gen.app.mltraining.v1.ml_training_pb2.GetTrainingJobLogsResponse(*, logs: collections.abc.Iterable[Global___TrainingJobLogEntry] | None = ..., next_page_token: str = ...)

Bases: google.protobuf.message.Message

Abstract base class for protocol messages.

Protocol message classes are almost always generated by the protocol compiler. These generated types subclass Message and implement the methods shown below.

next_page_token: str

logs() → google.protobuf.internal.containers.RepeatedCompositeFieldContainer[Global___TrainingJobLogEntry]

type viam.gen.app.mltraining.v1.ml_training_pb2.Global___GetTrainingJobLogsResponse = GetTrainingJobLogsResponse

class viam.gen.app.mltraining.v1.ml_training_pb2.ListSupportedContainersRequest

Bases: google.protobuf.message.Message

Abstract base class for protocol messages.

Protocol message classes are almost always generated by the protocol compiler. These generated types subclass Message and implement the methods shown below.

type viam.gen.app.mltraining.v1.ml_training_pb2.Global___ListSupportedContainersRequest = ListSupportedContainersRequest

class viam.gen.app.mltraining.v1.ml_training_pb2.ListSupportedContainersResponse(*, container_map: collections.abc.Mapping[str, Global___Container] | None = ...)

Bases: google.protobuf.message.Message

Abstract base class for protocol messages.

Protocol message classes are almost always generated by the protocol compiler. These generated types subclass Message and implement the methods shown below.

class ContainerMapEntry(*, key: str = ..., value: Global___Container | None = ...)

Bases: google.protobuf.message.Message

Abstract base class for protocol messages.

Protocol message classes are almost always generated by the protocol compiler. These generated types subclass Message and implement the methods shown below.

key: str

value() → Global___Container

HasField(field_name: _HasFieldArgType) → bool

Checks if a certain field is set for the message.

For a oneof group, checks if any field inside is set. Note that if the field_name is not defined in the message descriptor, ValueError will be raised.

Parameters:: field_name (str) – The name of the field to check for presence.
Returns:: Whether a value has been set for the named field.
Return type:: bool
Raises:: ValueError – if the field_name is not a member of this message.

container_map() → google.protobuf.internal.containers.MessageMap[str, Global___Container]

ex value: container_map: {

“tf:2.15”: Container {
key: “tf:2.15” uri: “us-docker.pkg.dev/vertex-ai/training/tf-gpu.2-15.py310:latest” description: “Tensorflow 2.15” eol: { seconds: 1772630400, nanos: 0 } // 2026-03-03T00:00:00Z

}

}

type viam.gen.app.mltraining.v1.ml_training_pb2.Global___ListSupportedContainersResponse = ListSupportedContainersResponse

class viam.gen.app.mltraining.v1.ml_training_pb2.Container(*, key: str = ..., uri: str = ..., framework: str = ..., description: str = ..., eol: google.protobuf.timestamp_pb2.Timestamp | None = ...)

Bases: google.protobuf.message.Message

Abstract base class for protocol messages.

Protocol message classes are almost always generated by the protocol compiler. These generated types subclass Message and implement the methods shown below.

key: str

uri: str

framework: str

description: str

eol() → google.protobuf.timestamp_pb2.Timestamp

HasField(field_name: _HasFieldArgType) → bool

Checks if a certain field is set for the message.

For a oneof group, checks if any field inside is set. Note that if the field_name is not defined in the message descriptor, ValueError will be raised.

Parameters:: field_name (str) – The name of the field to check for presence.
Returns:: Whether a value has been set for the named field.
Return type:: bool
Raises:: ValueError – if the field_name is not a member of this message.

type viam.gen.app.mltraining.v1.ml_training_pb2.Global___Container = Container