- NAME
-
- gcloud alpha ai-platform jobs submit prediction - start an AI Platform batch prediction job
- SYNOPSIS
-
-
gcloud alpha 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
] [--accelerator-count
=ACCELERATOR_COUNT
--accelerator-type
=ACCELERATOR_TYPE
] [GCLOUD_WIDE_FLAG …
]
-
- DESCRIPTION
-
(ALPHA)
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
-
Accelerator Configuration.
--accelerator-count
=ACCELERATOR_COUNT
-
The number of accelerators to attach to the machines. Must be >= 1.
This flag argument must be specified if any of the other arguments in this group are specified.
--accelerator-type
=ACCELERATOR_TYPE
-
The available types of accelerators.
ACCELERATOR_TYPE
must be one of:nvidia-tesla-k80
- NVIDIA Tesla K80 GPU
nvidia-tesla-p100
- NVIDIA Tesla P100 GPU.
- 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 alpha and might change without notice. If this
command fails with API permission errors despite specifying the correct project,
you might be trying to access an API with an invitation-only early access
allowlist. These variants are also available:
gcloud ai-platform jobs submit prediction
gcloud beta ai-platform jobs submit prediction
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2024-02-06 UTC.
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