Class ModelExportOutputConfig (2.4.2)

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

Output configuration for ModelExport Action. .. attribute:: gcs_destination

The Google Cloud Storage location where the model is to be written to. This location may only be set for the following model formats: "tflite", "edgetpu_tflite", "tf_saved_model", "tf_js", "core_ml".

Under the directory given as the destination a new one with name "model-export--", where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format, will be created. Inside the model and any of its supporting files will be written.

:type: google.cloud.automl_v1beta1.types.GcsDestination

Attributes

Name	Description
`gcr_destination`	`google.cloud.automl_v1beta1.types.GcrDestination` The GCR location where model image is to be pushed to. This location may only be set for the following model formats: "docker". The model image will be created under the given URI.
`model_format`	`str` The format in which the model must be exported. The available, and default, formats depend on the problem and model type (if given problem and type combination doesn't have a format listed, it means its models are not exportable): - For Image Classification mobile-low-latency-1, mobile-versatile-1, mobile-high-accuracy-1: "tflite" (default), "edgetpu_tflite", "tf_saved_model", "tf_js", "docker". - For Image Classification mobile-core-ml-low-latency-1, mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1: "core_ml" (default). - For Image Object Detection mobile-low-latency-1, mobile-versatile-1, mobile-high-accuracy-1: "tflite", "tf_saved_model", "tf_js". - For Video Classification cloud, "tf_saved_model". - For Video Object Tracking cloud, "tf_saved_model". - For Video Object Tracking mobile-versatile-1: "tflite", "edgetpu_tflite", "tf_saved_model", "docker". - For Video Object Tracking mobile-coral-versatile-1: "tflite", "edgetpu_tflite", "docker". - For Video Object Tracking mobile-coral-low-latency-1: "tflite", "edgetpu_tflite", "docker". - For Video Object Tracking mobile-jetson-versatile-1: "tf_saved_model", "docker". - For Tables: "docker". Formats description: - tflite - Used for Android mobile devices. - edgetpu_tflite - Used for `Edge TPU
`params`	`Sequence[google.cloud.automl_v1beta1.types.ModelExportOutputConfig.ParamsEntry]` Additional model-type and format specific parameters describing the requirements for the to be exported model files, any string must be up to 25000 characters long. - For `docker` format: `cpu_architecture` - (string) "x86_64" (default). `gpu_architecture` - (string) "none" (default), "nvidia".

Classes

ParamsEntry

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

The abstract base class for a message.

Parameters

Name	Description
`kwargs`	`dict` Keys and values corresponding to the fields of the message.
`mapping`	`Union[dict, .Message]` A dictionary or message to be used to determine the values for this message.
`ignore_unknown_fields`	`Optional(bool)` If True, do not raise errors for unknown fields. Only applied if `mapping` is a mapping type or there are keyword parameters.