--account <ACCOUNT> | Google Cloud Platform user account to use for invocation. Overrides the default *core/account* property value for this command invocation |
--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 |
--distributed | Runs the provided code in distributed mode by providing cluster configurations as environment variables to subprocesses |
--evaluator-count <EVALUATOR_COUNT> | Number of evaluators with which to run. Ignored if --distributed is not specified. Default: 0 |
--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 |
--help | Display 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 |
--job-dir <JOB_DIR> | Cloud Storage path or local_directory in which to store training outputs and other data
needed for training.
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This path will be passed to your TensorFlow program as the `--job-dir` command-line
arg. The benefit of specifying this field is that AI Platform will validate
the path for use in training. However, note that your training program will need
to parse the provided `--job-dir` argument |
--log-http | Log all HTTP server requests and responses to stderr. Overrides the default *core/log_http* property value for this command invocation |
--module-name <MODULE_NAME> | Name of the module to run |
--package-path <PACKAGE_PATH> | Path to a Python package to build. This should point to a *local* directory
containing the Python source for the job. It will be built using *setuptools*
(which must be installed) using its *parent* directory as context. If the parent
directory contains a `setup.py` file, the build will use that; otherwise,
it will use a simple built-in one |
--parameter-server-count <PARAMETER_SERVER_COUNT> | Number of parameter servers with which to run. Ignored if --distributed is not specified. Default: 2 |
--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`.
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`--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 |
--quiet | Disable 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 |
--start-port <START_PORT> | Start of the range of ports reserved by the local cluster. This command will use
a contiguous block of ports equal to parameter-server-count + worker-count + 1.
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If --distributed is not specified, this flag is ignored |
--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-enabled | Print 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* |
--worker-count <WORKER_COUNT> | Number of workers with which to run. Ignored if --distributed is not specified. Default: 2 |