Send feedback
Class MockTensorboardServiceConnection (2.20.0)
Stay organized with collections
Save and categorize content based on your preferences.
Version 2.20.0 keyboard_arrow_down
A class to mock TensorboardServiceConnection
.
Application developers may want to test their code with simulated responses, including errors, from an object of type TensorboardServiceClient
. To do so, construct an object of type TensorboardServiceClient
with an instance of this class. Then use the Google Test framework functions to program the behavior of this mock.
See Also
This example for how to test your application with GoogleTest. While the example showcases types from the BigQuery library, the underlying principles apply for any pair of *Client
and *Connection
.
Functions
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Returns
Type
Description
Options
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::CreateTensorboardRequest const &
Returns
Type
Description
future< StatusOr< google::cloud::aiplatform::v1::Tensorboard > >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::GetTensorboardRequest const &
Returns
Type
Description
StatusOr< google::cloud::aiplatform::v1::Tensorboard >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::UpdateTensorboardRequest const &
Returns
Type
Description
future< StatusOr< google::cloud::aiplatform::v1::Tensorboard > >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::ListTensorboardsRequest
Returns
Type
Description
StreamRange< google::cloud::aiplatform::v1::Tensorboard >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::DeleteTensorboardRequest const &
Returns
Type
Description
future< StatusOr< google::cloud::aiplatform::v1::DeleteOperationMetadata > >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::ReadTensorboardUsageRequest const &
Returns
Type
Description
StatusOr< google::cloud::aiplatform::v1::ReadTensorboardUsageResponse >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::ReadTensorboardSizeRequest const &
Returns
Type
Description
StatusOr< google::cloud::aiplatform::v1::ReadTensorboardSizeResponse >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::CreateTensorboardExperimentRequest const &
Returns
Type
Description
StatusOr< google::cloud::aiplatform::v1::TensorboardExperiment >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::GetTensorboardExperimentRequest const &
Returns
Type
Description
StatusOr< google::cloud::aiplatform::v1::TensorboardExperiment >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::UpdateTensorboardExperimentRequest const &
Returns
Type
Description
StatusOr< google::cloud::aiplatform::v1::TensorboardExperiment >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::ListTensorboardExperimentsRequest
Returns
Type
Description
StreamRange< google::cloud::aiplatform::v1::TensorboardExperiment >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::DeleteTensorboardExperimentRequest const &
Returns
Type
Description
future< StatusOr< google::cloud::aiplatform::v1::DeleteOperationMetadata > >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::CreateTensorboardRunRequest const &
Returns
Type
Description
StatusOr< google::cloud::aiplatform::v1::TensorboardRun >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::BatchCreateTensorboardRunsRequest const &
Returns
Type
Description
StatusOr< google::cloud::aiplatform::v1::BatchCreateTensorboardRunsResponse >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::GetTensorboardRunRequest const &
Returns
Type
Description
StatusOr< google::cloud::aiplatform::v1::TensorboardRun >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::UpdateTensorboardRunRequest const &
Returns
Type
Description
StatusOr< google::cloud::aiplatform::v1::TensorboardRun >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::ListTensorboardRunsRequest
Returns
Type
Description
StreamRange< google::cloud::aiplatform::v1::TensorboardRun >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::DeleteTensorboardRunRequest const &
Returns
Type
Description
future< StatusOr< google::cloud::aiplatform::v1::DeleteOperationMetadata > >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::BatchCreateTensorboardTimeSeriesRequest const &
Returns
Type
Description
StatusOr< google::cloud::aiplatform::v1::BatchCreateTensorboardTimeSeriesResponse >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::CreateTensorboardTimeSeriesRequest const &
Returns
Type
Description
StatusOr< google::cloud::aiplatform::v1::TensorboardTimeSeries >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::GetTensorboardTimeSeriesRequest const &
Returns
Type
Description
StatusOr< google::cloud::aiplatform::v1::TensorboardTimeSeries >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::UpdateTensorboardTimeSeriesRequest const &
Returns
Type
Description
StatusOr< google::cloud::aiplatform::v1::TensorboardTimeSeries >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::ListTensorboardTimeSeriesRequest
Returns
Type
Description
StreamRange< google::cloud::aiplatform::v1::TensorboardTimeSeries >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::DeleteTensorboardTimeSeriesRequest const &
Returns
Type
Description
future< StatusOr< google::cloud::aiplatform::v1::DeleteOperationMetadata > >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::BatchReadTensorboardTimeSeriesDataRequest const &
Returns
Type
Description
StatusOr< google::cloud::aiplatform::v1::BatchReadTensorboardTimeSeriesDataResponse >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::ReadTensorboardTimeSeriesDataRequest const &
Returns
Type
Description
StatusOr< google::cloud::aiplatform::v1::ReadTensorboardTimeSeriesDataResponse >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::ReadTensorboardBlobDataRequest const &
Returns
Type
Description
StreamRange< google::cloud::aiplatform::v1::ReadTensorboardBlobDataResponse >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::WriteTensorboardExperimentDataRequest const &
Returns
Type
Description
StatusOr< google::cloud::aiplatform::v1::WriteTensorboardExperimentDataResponse >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::WriteTensorboardRunDataRequest const &
Returns
Type
Description
StatusOr< google::cloud::aiplatform::v1::WriteTensorboardRunDataResponse >
This function is implemented using gMock 's MOCK_METHOD()
.
Consult the gMock documentation to use this mock in your tests.
Parameter
Name
Description
request
google::cloud::aiplatform::v1::ExportTensorboardTimeSeriesDataRequest
Returns
Type
Description
StreamRange< google::cloud::aiplatform::v1::TimeSeriesDataPoint >
Send feedback
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2025-04-24 UTC.
Need to tell us more?
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-04-24 UTC."],[[["This webpage documents the `MockTensorboardServiceConnection` class, which is designed for application developers to test code with simulated responses from a `TensorboardServiceClient`, including error simulations."],["The `MockTensorboardServiceConnection` class provides a way to mock various functions related to Tensorboard, such as creating, getting, updating, listing, and deleting Tensorboards, experiments, runs, and time series."],["The class utilizes GoogleTest's gMock framework for implementing mock methods, allowing developers to program the behavior of the mock within their tests."],["The documentation includes a list of available versions of the `MockTensorboardServiceConnection` class, ranging from version 2.20.0 to 2.37.0-rc, along with links to the documentation of each version."],["The class can be used to simulate interactions with Tensorboard services like reading usage, size, and blob data, plus writing data into experiments and runs."]]],[]]