Class: Google::Cloud::AutoML::V1beta1::ModelExportOutputConfig
- Inherits:
-
Object
- Object
- Google::Cloud::AutoML::V1beta1::ModelExportOutputConfig
- Defined in:
- lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/io.rb
Overview
Output configuration for ModelExport Action.
Instance Attribute Summary collapse
-
#gcr_destination ⇒ Google::Cloud::AutoML::V1beta1::GcrDestination
The GCR location where model image is to be pushed to.
-
#gcs_destination ⇒ Google::Cloud::AutoML::V1beta1::GcsDestination
The Google Cloud Storage location where the model is to be written to.
-
#model_format ⇒ String
The format in which the model must be exported.
-
#params ⇒ Hash{String => String}
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.
Instance Attribute Details
#gcr_destination ⇒ Google::Cloud::AutoML::V1beta1::GcrDestination
Returns 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.
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# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/io.rb', line 1021 class ModelExportOutputConfig; end |
#gcs_destination ⇒ Google::Cloud::AutoML::V1beta1::GcsDestination
Returns 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-
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# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/io.rb', line 1021 class ModelExportOutputConfig; end |
#model_format ⇒ String
Returns 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). Formats description:
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.
docker - Used for Docker containers. Use the params field to customize the container. The container is verified to work correctly on ubuntu 16.04 operating system. See more at [containers
quickstart](https: //cloud.google.com/vision/automl/docs/containers-gcs-quickstart)
- core_ml - Used for iOS mobile devices.
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# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/io.rb', line 1021 class ModelExportOutputConfig; end |
#params ⇒ Hash{String => String}
Returns 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".
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# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/io.rb', line 1021 class ModelExportOutputConfig; end |