Class PythonPackageSpec (1.3.0)

Version 1.3.0

• 1.48.0 (latest)
• 1.47.0
• 1.46.0
• 1.45.0
• 1.44.0
• 1.43.0
• 1.39.0
• 1.38.1
• 1.37.0
• 1.36.4
• 1.35.0
• 1.34.0
• 1.33.1
• 1.32.0
• 1.31.1
• 1.30.1
• 1.29.0
• 1.28.1
• 1.27.1
• 1.26.1
• 1.25.0
• 1.24.1
• 1.23.0
• 1.22.1
• 1.21.0
• 1.20.0
• 1.19.1
• 1.18.3
• 1.17.1
• 1.16.1
• 1.15.1
• 1.14.0
• 1.13.1
• 1.12.1
• 1.11.0
• 1.10.0
• 1.9.0
• 1.8.1
• 1.7.1
• 1.6.2
• 1.5.0
• 1.4.3
• 1.3.0
• 1.2.0
• 1.1.1
• 1.0.1
• 0.9.0
• 0.8.0
• 0.7.1
• 0.6.0
• 0.5.1
• 0.4.0
• 0.3.1

PythonPackageSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The spec of a Python packaged code. .. attribute:: executor_image_uri

Required. The URI of a container image in Artifact Registry that will run the provided Python package. Vertex AI provides a wide range of executor images with pre-installed packages to meet users' various use cases. See the list of pre-built containers for training <https://cloud.google.com/vertex-ai/docs/training/pre-built-containers>__. You must use an image from this list.

:type: str

Attributes

Name	Description
package_uris	Sequence[str] Required. The Google Cloud Storage location of the Python package files which are the training program and its dependent packages. The maximum number of package URIs is 100.
python_module	str Required. The Python module name to run after installing the packages.
args	Sequence[str] Command line arguments to be passed to the Python task.
env	Sequence[google.cloud.aiplatform_v1.types.EnvVar] Environment variables to be passed to the python module.

Inheritance

builtins.object > proto.message.Message > PythonPackageSpec