Class: Google::Cloud::AIPlatform::V1::Model::ExportFormat

Inherits:

Object

Object
Google::Cloud::AIPlatform::V1::Model::ExportFormat

show all

Extended by:: Protobuf::MessageExts::ClassMethods

Includes:: Protobuf::MessageExts

Defined in:: proto_docs/google/cloud/aiplatform/v1/model.rb

Overview

Represents export format supported by the Model. All formats export to Google Cloud Storage.

Defined Under Namespace

Modules: ExportableContent

Instance Attribute Summary collapse

#exportable_contents ⇒ ::Array<::Google::Cloud::AIPlatform::V1::Model::ExportFormat::ExportableContent> readonly
Output only.
#id ⇒ ::String readonly
Output only.

Instance Attribute Details

#exportable_contents ⇒ `::Array<::Google::Cloud::AIPlatform::V1::Model::ExportFormat::ExportableContent>` (readonly)

Returns Output only. The content of this Model that may be exported.

Returns:

(::Array<::Google::Cloud::AIPlatform::V1::Model::ExportFormat::ExportableContent>) —
Output only. The content of this Model that may be exported.

# File 'proto_docs/google/cloud/aiplatform/v1/model.rb', line 283

class ExportFormat
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The Model content that can be exported.
  module ExportableContent
    # Should not be used.
    EXPORTABLE_CONTENT_UNSPECIFIED = 0

    # Model artifact and any of its supported files. Will be exported to the
    # location specified by the `artifactDestination` field of the
    # {::Google::Cloud::AIPlatform::V1::ExportModelRequest#output_config ExportModelRequest.output_config} object.
    ARTIFACT = 1

    # The container image that is to be used when deploying this Model. Will
    # be exported to the location specified by the `imageDestination` field
    # of the {::Google::Cloud::AIPlatform::V1::ExportModelRequest#output_config ExportModelRequest.output_config} object.
    IMAGE = 2
  end
end

#id ⇒ `::String` (readonly)

Returns Output only. The ID of the export format. The possible format IDs are:

tflite Used for Android mobile devices.
edgetpu-tflite Used for Edge TPU devices.
tf-saved-model A tensorflow model in SavedModel format.
tf-js A TensorFlow.js model that can be used in the browser and in Node.js using JavaScript.
core-ml Used for iOS mobile devices.
custom-trained A Model that was uploaded or trained by custom code.