gcloud beta ai-platform jobs submit prediction

NAME
gcloud beta ai-platform jobs submit prediction - start an AI Platform batch prediction job
SYNOPSIS
gcloud beta 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
(BETA) 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
This command is currently in beta and might change without notice. These variants are also available:
  gcloud  
ai-platform  
 jobs 
  
submit  
prediction 
 
  gcloud  
alpha  
ai-platform  
 jobs 
  
submit  
prediction 
 
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