- 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 theend
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
inmy-bucket
as well as theother-instances1
bucket, whilegs://my-bucket/instance-dir/*
will match any objects in the
instance-dir
"directory" (since directories aren't a first-class Cloud Storage concept) ofmy-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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Last updated 2024-02-06 UTC.