NAME
    gcloud ai-platform jobs submit prediction - start an AI Platform batch
        prediction job

SYNOPSIS
    gcloud ai-platform jobs submit prediction JOB --data-format=DATA_FORMAT
        --input-paths=INPUT_PATH,[INPUT_PATH,...] --output-path=OUTPUT_PATH
        --region=REGION (--model=MODEL | --model-dir=MODEL_DIR)
        [--batch-size=BATCH_SIZE] [--labels=[KEY=VALUE,...]]
        [--max-worker-count=MAX_WORKER_COUNT]
        [--runtime-version=RUNTIME_VERSION] [--signature-name=SIGNATURE_NAME]
        [--version=VERSION] [GCLOUD_WIDE_FLAG ...]

DESCRIPTION
    Start an AI Platform batch prediction job.

POSITIONAL ARGUMENTS
     JOB
        Name of the batch prediction job.

REQUIRED FLAGS
     --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.

     --input-paths=INPUT_PATH,[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.

     --output-path=OUTPUT_PATH
        Cloud Storage path to which to save the output. Example:
        gs://my-bucket/output.

     --region=REGION
        The Compute Engine region to run the job in.

     Exactly one of these must be specified:

       --model=MODEL
          Name of the model to use for prediction.

       --model-dir=MODEL_DIR
          Cloud Storage location where the model files are located.

OPTIONAL FLAGS
     --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.

     --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.

     --max-worker-count=MAX_WORKER_COUNT
        The maximum number of workers to be used for parallel processing.
        Defaults to 10 if not specified.

     --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.

     --version=VERSION
        Model version to be used.

        This flag may only be given if --model is specified. If unspecified,
        the default version of the model will be used. To list versions for a
        model, run

            $ gcloud ai-platform versions list

GCLOUD WIDE FLAGS
    These flags are available to all commands: --access-token-file, --account,
    --billing-project, --configuration, --flags-file, --flatten, --format,
    --help, --impersonate-service-account, --log-http, --project, --quiet,
    --trace-token, --user-output-enabled, --verbosity.

    Run $ gcloud help for details.

NOTES
    These variants are also available:

        $ gcloud alpha ai-platform jobs submit prediction

        $ gcloud beta ai-platform jobs submit prediction

