get_training_operation_result `async` ¶

get_training_operation_result(
    training_session_name: TrainingSessionName,
    operation_id: OperationId,
    *,
    config_overrides: Optional[AsyncSageMakerTrainingSessionRuntimeClientConfig] = None,
) -> GetTrainingOperationResultOutput

Retrieves the current status and result of a previously submitted training operation. Poll this operation until the status reaches a terminal state (Completed, Failed, or Skipped).

Parameters:

training_session_name (TrainingSessionName) –

The name of the training session that owns the operation.
operation_id (OperationId) –

The unique identifier of the operation to retrieve, returned by ExecuteTrainingOperation.

Raises:

InternalServerException –

An internal service error occurred. Retry the request using exponential backoff.
ResourceNotFoundException –

The specified training session or operation does not exist, or the operation does not belong to the specified training session.
ThrottlingException –

The request was throttled. Retry the request after a brief wait using exponential backoff.
ValidationException –

The request is not valid. Check the request syntax and parameters. Examples include invalid sequence numbers, malformed client tokens, missing required fields, or invalid operation configuration.
UnknownServiceError –

The service returned an error code this client does not model.

Examples:

Get the result of a training operation Retrieves the status and result of a training operation submitted with ExecuteTrainingOperation.

>>> await client.get_training_operation_result(training_session_name='my-training-session', operation_id='a1b2c3d4-5678-90ab-cdef-1234567890ab')

Source code in docs_src/capo_sagemakertrainingsessionruntime/_services/async_sage_maker_training_session_runtime.py

async def get_training_operation_result(
    self,
    training_session_name: "capo_sagemakertrainingsessionruntime.types.training_session_name.TrainingSessionName",
    operation_id: "capo_sagemakertrainingsessionruntime.types.operation_id.OperationId",
    *,
    config_overrides: Optional[
        AsyncSageMakerTrainingSessionRuntimeClientConfig
    ] = None,
) -> "capo_sagemakertrainingsessionruntime.types.get_training_operation_result_output.GetTrainingOperationResultOutput":
    """<p>Retrieves the current status and result of a previously submitted training operation. Poll this operation until the status reaches a terminal state (Completed, Failed, or Skipped).</p>

    Args:
        training_session_name: <p>The name of the training session that owns the operation.</p>
        operation_id: <p>The unique identifier of the operation to retrieve, returned by <code>ExecuteTrainingOperation</code>.</p>

    Raises:
        capo_sagemakertrainingsessionruntime.errors.internal_server_exception.InternalServerException: <p>An internal service error occurred. Retry the request using exponential backoff.</p>
        capo_sagemakertrainingsessionruntime.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified training session or operation does not exist, or the operation does not belong to the specified training session.</p>
        capo_sagemakertrainingsessionruntime.errors.throttling_exception.ThrottlingException: <p>The request was throttled. Retry the request after a brief wait using exponential backoff.</p>
        capo_sagemakertrainingsessionruntime.errors.validation_exception.ValidationException: <p>The request is not valid. Check the request syntax and parameters. Examples include invalid sequence numbers, malformed client tokens, missing required fields, or invalid operation configuration.</p>
        capo_sagemakertrainingsessionruntime.errors.UnknownServiceError: The service returned an error code this client does not model.

    Examples:
        Get the result of a training operation
        Retrieves the status and result of a training operation submitted with ExecuteTrainingOperation.

        >>> await client.get_training_operation_result(training_session_name='my-training-session', operation_id='a1b2c3d4-5678-90ab-cdef-1234567890ab')
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_sagemakertrainingsessionruntime.types.get_training_operation_result_input.GetTrainingOperationResultInput]",
    ) -> AsyncOperationResponse[
        "capo_sagemakertrainingsessionruntime.types.get_training_operation_result_output.GetTrainingOperationResultOutput"
    ]:
        import capo_sagemakertrainingsessionruntime._operations.lego_router_service.get_training_operation_result

        (
            output,
            http_response,
        ) = await capo_sagemakertrainingsessionruntime._operations.lego_router_service.get_training_operation_result.async_get_training_operation_result(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetTrainingOperationResult")
    )
    input_: capo_sagemakertrainingsessionruntime.types.get_training_operation_result_input.GetTrainingOperationResultInput = {
        "training_session_name": training_session_name,
        "operation_id": operation_id,
    }

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output

get_training_operation_result async ¶

get_training_operation_result `async` ¶