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)