gcloud ai-platform jobs submit prediction <JOB>

Start an AI Platform batch prediction job


JOBName of the batch prediction job


--account <ACCOUNT>Google Cloud Platform user account to use for invocation. Overrides the default *core/account* property value for this command invocation
--batch-size <BATCH_SIZE>The number of records per batch. The service will buffer batch_size number of records in memory before invoking TensorFlow. Defaults to 64 if not specified
--billing-project <BILLING_PROJECT>The Google Cloud Platform project that will be charged quota for operations performed in gcloud. If you need to operate on one project, but need quota against a different project, you can use this flag to specify the billing project. If both `billing/quota_project` and `--billing-project` are specified, `--billing-project` takes precedence. Run `$ gcloud config set --help` to see more information about `billing/quota_project`
--configuration <CONFIGURATION>The configuration to use for this command invocation. For more information on how to use configurations, run: `gcloud topic configurations`. You can also use the CLOUDSDK_ACTIVE_CONFIG_NAME environment variable to set the equivalent of this flag for a terminal session
--data-format <DATA_FORMAT>Data format of the input files. _DATA_FORMAT_ must be one of: + *text*::: Text and JSON files; for text files, see https://www.tensorflow.org/guide/datasets#consuming_text_data, for JSON files, see https://cloud.google.com/ai-platform/prediction/docs/overview#batch_prediction_input_data *tf-record*::: TFRecord files; see https://www.tensorflow.org/guide/datasets#consuming_tfrecord_data *tf-record-gzip*::: GZIP-compressed TFRecord files. ::: +
--flags-file <YAML_FILE>A YAML or JSON file that specifies a *--flag*:*value* dictionary. Useful for specifying complex flag values with special characters that work with any command interpreter. Additionally, each *--flags-file* arg is replaced by its constituent flags. See $ gcloud topic flags-file for more information
--flatten <KEY>Flatten _name_[] output resource slices in _KEY_ into separate records for each item in each slice. Multiple keys and slices may be specified. This also flattens keys for *--format* and *--filter*. For example, *--flatten=abc.def* flattens *abc.def[].ghi* references to *abc.def.ghi*. A resource record containing *abc.def[]* with N elements will expand to N records in the flattened output. This flag interacts with other flags that are applied in this order: *--flatten*, *--sort-by*, *--filter*, *--limit*
--format <FORMAT>Set the format for printing command output resources. The default is a command-specific human-friendly output format. The supported formats are: `config`, `csv`, `default`, `diff`, `disable`, `flattened`, `get`, `json`, `list`, `multi`, `none`, `object`, `table`, `text`, `value`, `yaml`. For more details run $ gcloud topic formats
--helpDisplay detailed help
--impersonate-service-account <SERVICE_ACCOUNT_EMAIL>For this gcloud invocation, all API requests will be made as the given service account instead of the currently selected account. This is done without needing to create, download, and activate a key for the account. In order to perform operations as the service account, your currently selected account must have an IAM role that includes the iam.serviceAccounts.getAccessToken permission for the service account. The roles/iam.serviceAccountTokenCreator role has this permission or you may create a custom role. Overrides the default *auth/impersonate_service_account* property value for this command invocation
--input-paths <INPUT_PATH>Cloud Storage paths to the instances to run prediction on. + Wildcards (```*```) accepted at the *end* of a path. More than one path can be specified if multiple file patterns are needed. For example, + gs://my-bucket/instances*,gs://my-bucket/other-instances1 + will match any objects whose names start with `instances` in `my-bucket` as well as the `other-instances1` bucket, while + gs://my-bucket/instance-dir/* + will match any objects in the `instance-dir` "directory" (since directories aren't a first-class Cloud Storage concept) of `my-bucket`
--labels <KEY=VALUE>List of label KEY=VALUE pairs to add. + Keys must start with a lowercase character and contain only hyphens (`-`), underscores (```_```), lowercase characters, and numbers. Values must contain only hyphens (`-`), underscores (```_```), lowercase characters, and numbers
--log-httpLog all HTTP server requests and responses to stderr. Overrides the default *core/log_http* property value for this command invocation
--max-worker-count <MAX_WORKER_COUNT>The maximum number of workers to be used for parallel processing. Defaults to 10 if not specified
--model <MODEL>Name of the model to use for prediction
--model-dir <MODEL_DIR>Cloud Storage location where the model files are located
--output-path <OUTPUT_PATH>Cloud Storage path to which to save the output. Example: gs://my-bucket/output
--project <PROJECT_ID>The Google Cloud Platform project ID to use for this invocation. If omitted, then the current project is assumed; the current project can be listed using `gcloud config list --format='text(core.project)'` and can be set using `gcloud config set project PROJECTID`. + `--project` and its fallback `core/project` property play two roles in the invocation. It specifies the project of the resource to operate on. It also specifies the project for API enablement check, quota, and billing. To specify a different project for quota and billing, use `--billing-project` or `billing/quota_project` property
--quietDisable all interactive prompts when running gcloud commands. If input is required, defaults will be used, or an error will be raised. Overrides the default core/disable_prompts property value for this command invocation. This is equivalent to setting the environment variable `CLOUDSDK_CORE_DISABLE_PROMPTS` to 1
--region <REGION>The Compute Engine region to run the job in
--runtime-version <RUNTIME_VERSION>AI Platform runtime version for this job. Must be specified unless --master-image-uri is specified instead. It is defined in documentation along with the list of supported versions: https://cloud.google.com/ai-platform/prediction/docs/runtime-version-list
--signature-name <SIGNATURE_NAME>Name of the signature defined in the SavedModel to use for this job. Defaults to DEFAULT_SERVING_SIGNATURE_DEF_KEY in https://www.tensorflow.org/api_docs/python/tf/compat/v1/saved_model/signature_constants, which is "serving_default". Only applies to TensorFlow models
--trace-token <TRACE_TOKEN>Token used to route traces of service requests for investigation of issues. Overrides the default *core/trace_token* property value for this command invocation
--user-output-enabledPrint user intended output to the console. Overrides the default *core/user_output_enabled* property value for this command invocation. Use *--no-user-output-enabled* to disable
--verbosity <VERBOSITY>Override the default verbosity for this command. Overrides the default *core/verbosity* property value for this command invocation. _VERBOSITY_ must be one of: *debug*, *info*, *warning*, *error*, *critical*, *none*