def Run(self, args):
versions_client = versions_api.VersionsClient()
labels = versions_util.ParseCreateLabels(versions_client, args)
framework = flags.FRAMEWORK_MAPPER.GetEnumForChoice(args.framework)
accelerator = flags.ParseAcceleratorFlag(args.accelerator)
return versions_util.Create(versions_client,
operations.OperationsClient(),
args.version,
model=args.model,
origin=args.origin,
staging_bucket=args.staging_bucket,
runtime_version=args.runtime_version,
config_file=args.config,
asyncronous=args.async_,
labels=labels,
description=args.description,
machine_type=args.machine_type,
framework=framework,
python_version=args.python_version,
prediction_class=args.prediction_class,
package_uris=args.package_uris,
service_account=args.service_account,
accelerator_config=accelerator,
explanation_method=args.explanation_method,
num_integral_steps=args.num_integral_steps,
num_paths=args.num_paths)
def Run(self, args):
region = region_util.GetRegion(args)
with endpoint_util.MlEndpointOverrides(region=region):
client = versions_api.VersionsClient()
labels = versions_util.ParseCreateLabels(client, args)
framework = flags.FRAMEWORK_MAPPER.GetEnumForChoice(args.framework)
accelerator = flags.ParseAcceleratorFlag(args.accelerator)
return versions_util.Create(client,
operations.OperationsClient(),
args.version,
model=args.model,
origin=args.origin,
staging_bucket=args.staging_bucket,
runtime_version=args.runtime_version,
config_file=args.config,
asyncronous=args.async_,
description=args.description,
labels=labels,
machine_type=args.machine_type,
framework=framework,
python_version=args.python_version,
accelerator_config=accelerator,
min_nodes=args.min_nodes,
max_nodes=args.max_nodes,
metrics=args.metric_targets,
autoscaling_hidden=False)
def Run(self, args):
return versions_util.Create(versions_api.VersionsClient('v1'),
operations.OperationsClient('v1'),
args.version,
model=args.model,
origin=args.origin,
staging_bucket=args.staging_bucket,
runtime_version=args.runtime_version,
async_=args. async)
def Run(self, args):
versions_client = versions_api.VersionsClient()
labels = versions_util.ParseCreateLabels(versions_client, args)
return versions_util.Create(versions_client,
operations.OperationsClient(),
args.version,
model=args.model,
origin=args.origin,
staging_bucket=args.staging_bucket,
runtime_version=args.runtime_version,
config_file=args.config,
async_=args. async,
labels=labels)
def Run(self, args):
versions_client = versions_api.VersionsClient()
labels = versions_util.ParseCreateLabels(versions_client, args)
framework = flags.FRAMEWORK_MAPPER.GetEnumForChoice(args.framework)
return versions_util.Create(versions_client,
operations.OperationsClient(),
args.version,
model=args.model,
origin=args.origin,
staging_bucket=args.staging_bucket,
runtime_version=args.runtime_version,
config_file=args.config,
async_=args. async,
description=args.description,
labels=labels,
framework=framework)
def Run(self, args):
with endpoint_util.MlEndpointOverrides(region=args.region):
client = versions_api.VersionsClient()
labels = versions_util.ParseCreateLabels(client, args)
framework = flags.FRAMEWORK_MAPPER.GetEnumForChoice(args.framework)
return versions_util.Create(client,
operations.OperationsClient(),
args.version,
model=args.model,
origin=args.origin,
staging_bucket=args.staging_bucket,
runtime_version=args.runtime_version,
config_file=args.config,
asyncronous=args.async_,
description=args.description,
labels=labels,
framework=framework,
python_version=args.python_version)
def Run(self, args):
versions_client = versions_api.VersionsClient()
labels = versions_util.ParseCreateLabels(versions_client, args)
framework = flags.FRAMEWORK_MAPPER.GetEnumForChoice(args.framework)
return versions_util.Create(versions_client,
operations.OperationsClient(),
args.version,
model=args.model,
origin=args.origin,
staging_bucket=args.staging_bucket,
runtime_version=args.runtime_version,
config_file=args.config,
asyncronous=args. async,
description=args.description,
labels=labels,
machine_type=args.machine_type,
framework=framework,
python_version=args.python_version,
prediction_class=args.prediction_class,
package_uris=args.package_uris)
def Run(self, args):
region = region_util.GetRegion(args)
with endpoint_util.MlEndpointOverrides(region=region):
client = versions_api.VersionsClient()
labels = versions_util.ParseCreateLabels(client, args)
framework = flags.FRAMEWORK_MAPPER.GetEnumForChoice(args.framework)
accelerator = flags.ParseAcceleratorFlag(args.accelerator)
return versions_util.Create(
client,
operations.OperationsClient(),
args.version,
model=args.model,
origin=args.origin,
staging_bucket=args.staging_bucket,
runtime_version=args.runtime_version,
config_file=args.config,
asyncronous=args.async_,
labels=labels,
description=args.description,
machine_type=args.machine_type,
framework=framework,
python_version=args.python_version,
prediction_class=args.prediction_class,
package_uris=args.package_uris,
service_account=args.service_account,
accelerator_config=accelerator,
explanation_method=args.explanation_method,
num_integral_steps=args.num_integral_steps,
num_paths=args.num_paths,
image=args.image,
command=args.command,
container_args=args.args,
env_vars=args.env_vars,
ports=args.ports,
predict_route=args.predict_route,
health_route=args.health_route,
min_nodes=args.min_nodes,
max_nodes=args.max_nodes,
metrics=args.metric_targets,
containers_hidden=False,
autoscaling_hidden=False)
