Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::PythonPackageSpec.
The spec of a Python packaged code.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#args
def args() -> ::Array<::String>
Returns
- (::Array<::String>) — Command line arguments to be passed to the Python task.
#args=
def args=(value) -> ::Array<::String>
Parameter
- value (::Array<::String>) — Command line arguments to be passed to the Python task.
Returns
- (::Array<::String>) — Command line arguments to be passed to the Python task.
#env
def env() -> ::Array<::Google::Cloud::AIPlatform::V1::EnvVar>
Returns
- (::Array<::Google::Cloud::AIPlatform::V1::EnvVar>) — Environment variables to be passed to the python module. Maximum limit is 100.
#env=
def env=(value) -> ::Array<::Google::Cloud::AIPlatform::V1::EnvVar>
Parameter
- value (::Array<::Google::Cloud::AIPlatform::V1::EnvVar>) — Environment variables to be passed to the python module. Maximum limit is 100.
Returns
- (::Array<::Google::Cloud::AIPlatform::V1::EnvVar>) — Environment variables to be passed to the python module. Maximum limit is 100.
#executor_image_uri
def executor_image_uri() -> ::String
Returns
- (::String) — 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.
#executor_image_uri=
def executor_image_uri=(value) -> ::String
Parameter
- value (::String) — 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.
Returns
- (::String) — 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.
#package_uris
def package_uris() -> ::Array<::String>
Returns
- (::Array<::String>) — 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.
#package_uris=
def package_uris=(value) -> ::Array<::String>
Parameter
- value (::Array<::String>) — 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.
Returns
- (::Array<::String>) — 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
def python_module() -> ::String
Returns
- (::String) — Required. The Python module name to run after installing the packages.
#python_module=
def python_module=(value) -> ::String
Parameter
- value (::String) — Required. The Python module name to run after installing the packages.
Returns
- (::String) — Required. The Python module name to run after installing the packages.