# Cloud AutoML V1 Client - Class ModelExportOutputConfig (2.1.3) 2.1.3 (latest) 2.1.2 2.0.5 1.6.5 1.5.4 1.4.17 Reference documentation and code samples for the Cloud AutoML V1 Client class ModelExportOutputConfig. Output configuration for ModelExport Action. Generated from protobuf message `google.cloud.automl.v1.ModelExportOutputConfig` ## Namespace Google \\ Cloud \\ AutoMl \\ V1 ## Methods ### __construct Constructor. | **Parameters** || |---|---| | **Name** | **Description** | | `data` | `array` Optional. Data for populating the Message object. | | `↳ gcs_destination` | `https://docs.cloud.google.com/php/docs/reference/cloud-automl/latest/V1.GcsDestination` Required. 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- | | `↳ model_format` | `string` 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". Formats description: \* \* tflite - Used for Android mobile devices. \* \* edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/) devices. \* \* tf_saved_model - A tensorflow model in SavedModel format. \* \* tf_js - A [TensorFlow.js](https://www.tensorflow.org/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. | | `↳ params` | `array|https://protobuf.dev/reference/php/api-docs/Google/Protobuf/Internal/MapField` 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". | ### getGcsDestination Required. 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- | **Returns** || |---|---| | **Type** | **Description** | | `https://docs.cloud.google.com/php/docs/reference/cloud-automl/latest/V1.GcsDestination|null` | | ### hasGcsDestination ### setGcsDestination Required. 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- | **Parameter** || |---|---| | **Name** | **Description** | | `var` | `https://docs.cloud.google.com/php/docs/reference/cloud-automl/latest/V1.GcsDestination` | | **Returns** || |---|---| | **Type** | **Description** | | `$this` | | ### getModelFormat 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". Formats description: - tflite - Used for Android mobile devices. - edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/) devices. - tf_saved_model - A tensorflow model in SavedModel format. - tf_js - A [TensorFlow.js](https://www.tensorflow.org/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. | **Returns** || |---|---| | **Type** | **Description** | | `string` | | ### setModelFormat 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". Formats description: - tflite - Used for Android mobile devices. - edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/) devices. - tf_saved_model - A tensorflow model in SavedModel format. - tf_js - A [TensorFlow.js](https://www.tensorflow.org/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. | **Parameter** || |---|---| | **Name** | **Description** | | `var` | `string` | | **Returns** || |---|---| | **Type** | **Description** | | `$this` | | ### getParams 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". | **Returns** || |---|---| | **Type** | **Description** | | `https://protobuf.dev/reference/php/api-docs/Google/Protobuf/Internal/MapField` | | ### setParams 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". | **Parameter** || |---|---| | **Name** | **Description** | | `var` | `array|https://protobuf.dev/reference/php/api-docs/Google/Protobuf/Internal/MapField` | | **Returns** || |---|---| | **Type** | **Description** | | `$this` | | ### getDestination | **Returns** || |---|---| | **Type** | **Description** | | `string` | |