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.
You must use an image from this list.
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.
[[["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 2025-08-14 UTC."],[[["\u003cp\u003eThis document provides reference information for the \u003ccode\u003ePythonPackageSpec\u003c/code\u003e class within the Vertex AI v1beta1 API, specifically for the .NET environment.\u003c/p\u003e\n"],["\u003cp\u003e\u003ccode\u003ePythonPackageSpec\u003c/code\u003e is a class that defines the specifications for a Python packaged code, inheriting from \u003ccode\u003eobject\u003c/code\u003e and implementing several interfaces including \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, \u003ccode\u003eIDeepCloneable\u003c/code\u003e, and \u003ccode\u003eIBufferMessage\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eThe class includes properties such as \u003ccode\u003eArgs\u003c/code\u003e, \u003ccode\u003eEnv\u003c/code\u003e, \u003ccode\u003eExecutorImageUri\u003c/code\u003e, \u003ccode\u003ePackageUris\u003c/code\u003e, and \u003ccode\u003ePythonModule\u003c/code\u003e, which define the arguments, environment variables, container image URI, package locations, and the main Python module to be executed, respectively.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003ePythonPackageSpec\u003c/code\u003e allows users to customize their training programs by specifying a container image from a list of pre-built containers provided by Vertex AI, along with the location of their code and the desired entry module.\u003c/p\u003e\n"],["\u003cp\u003eThere are two versions available within this document, the latest version \u003ccode\u003e1.0.0-beta21\u003c/code\u003e and an older version \u003ccode\u003e1.0.0-beta20\u003c/code\u003e.\u003c/p\u003e\n"]]],[],null,[]]
