code stringlengths 66 870k | docstring stringlengths 19 26.7k | func_name stringlengths 1 138 | language stringclasses 1
value | repo stringlengths 7 68 | path stringlengths 5 324 | url stringlengths 46 389 | license stringclasses 7
values |
|---|---|---|---|---|---|---|---|
def GetMemoryStorePassword(self) -> str:
"""Returns the access password of the managed memory store, if any."""
if not self._password:
self._password = self._GetDatabase()['security']['password']
logging.info('Database password: %s', self._password)
return self._password | Returns the access password of the managed memory store, if any. | GetMemoryStorePassword | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcp_redis_enterprise.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcp_redis_enterprise.py | Apache-2.0 |
def _ValidateSpec(self):
"""Validates PostgreSQL spec for CPU and memory.
Raises:
data.ResourceNotFound: On missing memory or cpus in postgres benchmark
config.
"""
if not hasattr(self.spec.db_spec, 'cpus') or not self.spec.db_spec.cpus:
raise data.ResourceNotFound(
'Must ... | Validates PostgreSQL spec for CPU and memory.
Raises:
data.ResourceNotFound: On missing memory or cpus in postgres benchmark
config.
| _ValidateSpec | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcp_relational_db.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcp_relational_db.py | Apache-2.0 |
def _ValidateMachineType(self, memory, cpus):
"""Validates the custom machine type configuration.
Memory and CPU must be within the parameters described here:
https://cloud.google.com/sql/docs/postgres/instance-settings
Args:
memory: (int) in MiB
cpus: (int)
Raises:
ValueError o... | Validates the custom machine type configuration.
Memory and CPU must be within the parameters described here:
https://cloud.google.com/sql/docs/postgres/instance-settings
Args:
memory: (int) in MiB
cpus: (int)
Raises:
ValueError on invalid configuration.
| _ValidateMachineType | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcp_relational_db.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcp_relational_db.py | Apache-2.0 |
def _IsReady(self, timeout=IS_READY_TIMEOUT):
"""Return true if the underlying resource is ready.
Supplying this method is optional. Use it when a resource can exist
without being ready. If the subclass does not implement
it then it just returns true.
Args:
timeout: how long to wait when c... | Return true if the underlying resource is ready.
Supplying this method is optional. Use it when a resource can exist
without being ready. If the subclass does not implement
it then it just returns true.
Args:
timeout: how long to wait when checking if the DB is ready.
Returns:
True ... | _IsReady | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcp_relational_db.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcp_relational_db.py | Apache-2.0 |
def _ParseEndpoint(self, describe_instance_json):
"""Returns the IP of the resource given the metadata as JSON.
Args:
describe_instance_json: JSON output.
Returns:
public IP address (string)
"""
if describe_instance_json is None:
return ''
try:
selflink = describe_insta... | Returns the IP of the resource given the metadata as JSON.
Args:
describe_instance_json: JSON output.
Returns:
public IP address (string)
| _ParseEndpoint | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcp_relational_db.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcp_relational_db.py | Apache-2.0 |
def _GetEngineVersionString(engine, version):
"""Returns CloudSQL-specific version string for givin database engine.
Args:
engine: database engine
version: engine version
Returns:
(string): CloudSQL-specific name for requested engine and version.
Raises:
NotImplementedError on... | Returns CloudSQL-specific version string for givin database engine.
Args:
engine: database engine
version: engine version
Returns:
(string): CloudSQL-specific name for requested engine and version.
Raises:
NotImplementedError on invalid engine / version combination.
| _GetEngineVersionString | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcp_relational_db.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcp_relational_db.py | Apache-2.0 |
def _Create(self) -> None:
"""Creates the instance, the database, and update the schema."""
cmd = util.GcloudCommand(
self, 'spanner', 'instances', 'create', self.instance_id
)
cmd.flags['description'] = self._description
cmd.flags['config'] = self._config
if self.spec.db_tier:
cm... | Creates the instance, the database, and update the schema. | _Create | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcp_spanner.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcp_spanner.py | Apache-2.0 |
def CreateTables(self, ddl: str) -> None:
"""Creates the tables specified by the DDL.
If the table already exists, this is a no-op.
Args:
ddl: The DDL statement used to create the table schema.
Raises:
errors.Benchmarks.RunError if updating the DDL fails.
"""
cmd = util.GcloudComm... | Creates the tables specified by the DDL.
If the table already exists, this is a no-op.
Args:
ddl: The DDL statement used to create the table schema.
Raises:
errors.Benchmarks.RunError if updating the DDL fails.
| CreateTables | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcp_spanner.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcp_spanner.py | Apache-2.0 |
def _Exists(self, instance_only: bool = False) -> bool:
"""Returns true if the instance and the database exists."""
_, retcode = self._DescribeInstance(raise_on_failure=False)
if retcode != 0:
logging.info('Could not find GCP Spanner instance %s.', self.instance_id)
return False
if instance... | Returns true if the instance and the database exists. | _Exists | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcp_spanner.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcp_spanner.py | Apache-2.0 |
def GetApiEndPoint(self) -> str:
"""Returns the API endpoint override for Cloud Spanner."""
if self._api_endpoint:
return self._api_endpoint
cmd = util.GcloudCommand(
self, 'config', 'get-value', 'api_endpoint_overrides/spanner'
)
stdout, _, retcode = cmd.Issue(raise_on_failure=False)... | Returns the API endpoint override for Cloud Spanner. | GetApiEndPoint | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcp_spanner.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcp_spanner.py | Apache-2.0 |
def _WaitUntilInstanceReady(self) -> None:
"""Waits until the instance is ready."""
# TODO(user): Refactor Spanner instance to use this method in Create
while True:
instance, _ = self._DescribeInstance()
if json.loads(instance)['state'] == 'READY':
break | Waits until the instance is ready. | _WaitUntilInstanceReady | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcp_spanner.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcp_spanner.py | Apache-2.0 |
def _SetNodes(self, nodes: int) -> None:
"""Sets the number of nodes on the Spanner instance."""
# Not yet supported for user managed instances since instance attributes
# are not discovered.
if self.user_managed:
return
# Cannot set nodes with autoscaler.
if self._autoscaler:
retur... | Sets the number of nodes on the Spanner instance. | _SetNodes | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcp_spanner.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcp_spanner.py | Apache-2.0 |
def _DescribeInstance(self, raise_on_failure=True) -> tuple[str, int]:
"""Returns `spanner instances describe` output for this instance."""
cmd = util.GcloudCommand(
self, 'spanner', 'instances', 'describe', self.instance_id
)
stdout, _, retcode = cmd.Issue(raise_on_failure=raise_on_failure)
... | Returns `spanner instances describe` output for this instance. | _DescribeInstance | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcp_spanner.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcp_spanner.py | Apache-2.0 |
def GetResourceMetadata(self) -> Dict[Any, Any]:
"""Returns useful metadata about the instance."""
metadata = {
'gcp_spanner_name': self.instance_id,
'gcp_spanner_database': self.database,
'gcp_spanner_database_dialect': self.dialect,
'gcp_spanner_config': self._config,
'... | Returns useful metadata about the instance. | GetResourceMetadata | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcp_spanner.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcp_spanner.py | Apache-2.0 |
def GetAverageCpuUsage(
self, duration_minutes: int, end_time: datetime.datetime
) -> float:
"""Gets the average high priority CPU usage through the time duration.
Note that there is a delay for the API to get data, so this returns the
average CPU usage in the period ending at `end_time` with missi... | Gets the average high priority CPU usage through the time duration.
Note that there is a delay for the API to get data, so this returns the
average CPU usage in the period ending at `end_time` with missing data
in the last CPU_API_DELAY_SECONDS.
Args:
duration_minutes: The time duration for whic... | GetAverageCpuUsage | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcp_spanner.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcp_spanner.py | Apache-2.0 |
def _Exists(self):
"""Returns true if the cloud TPU exists."""
_, retcode = self._GetTpuDescription()
return retcode == 0 | Returns true if the cloud TPU exists. | _Exists | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcp_tpu.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcp_tpu.py | Apache-2.0 |
def GetMasterGrpcAddress(self):
"""Gets the grpc address of the 0th NetworkEndpoint."""
master_network_endpoint = self._GetTpuDescription()[0]['networkEndpoints'][
0
]
return 'grpc://{ip_address}:{port}'.format(
ip_address=master_network_endpoint['ipAddress'],
port=master_networ... | Gets the grpc address of the 0th NetworkEndpoint. | GetMasterGrpcAddress | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcp_tpu.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcp_tpu.py | Apache-2.0 |
def GetNumShards(self):
"""Gets the number of TPU shards."""
num_tpus = len(self._GetTpuDescription()[0]['networkEndpoints'])
return num_tpus * FLAGS.tpu_cores_per_donut | Gets the number of TPU shards. | GetNumShards | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcp_tpu.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcp_tpu.py | Apache-2.0 |
def GetResourceMetadata(self):
"""Returns the metadata associated with the resource.
All keys will be prefaced with tpu before
being published (done in publisher.py).
Returns:
metadata: dict of GCP cloud TPU metadata.
"""
metadata = super().GetResourceMetadata()
metadata.update({'pro... | Returns the metadata associated with the resource.
All keys will be prefaced with tpu before
being published (done in publisher.py).
Returns:
metadata: dict of GCP cloud TPU metadata.
| GetResourceMetadata | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcp_tpu.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcp_tpu.py | Apache-2.0 |
def MakeBucket(self, bucket_name, raise_on_failure=True, tag_bucket=True):
"""Creates a GCS bucket.
Args:
bucket_name: The name of the bucket to create, without gs:// prefix.
raise_on_failure: If False, exceptions are swallowed.
tag_bucket: If True, tag the bucket with default tags.
"""
... | Creates a GCS bucket.
Args:
bucket_name: The name of the bucket to create, without gs:// prefix.
raise_on_failure: If False, exceptions are swallowed.
tag_bucket: If True, tag the bucket with default tags.
| MakeBucket | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcs.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcs.py | Apache-2.0 |
def Copy(self, src_url, dst_url, recursive=False, timeout=None):
"""See base class.
Args:
src_url: The source url to copy from. Both url parameters need a schema
prefix, e.g. gs://, local, or other.
dst_url: The destination url to copy to.
recursive: If True, copy the directory recurs... | See base class.
Args:
src_url: The source url to copy from. Both url parameters need a schema
prefix, e.g. gs://, local, or other.
dst_url: The destination url to copy to.
recursive: If True, copy the directory recursively.
timeout: The timeout for the copy command.
| Copy | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcs.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcs.py | Apache-2.0 |
def CopyToBucket(self, src_path, bucket_name, object_path):
"""See base class.
Args:
src_path: The source path to copy from. Needs a schema prefix, e.g. gs://,
local, or other.
bucket_name: GCS bucket, without gs://.
object_path: Path within the bucket to the object.
"""
dst_u... | See base class.
Args:
src_path: The source path to copy from. Needs a schema prefix, e.g. gs://,
local, or other.
bucket_name: GCS bucket, without gs://.
object_path: Path within the bucket to the object.
| CopyToBucket | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcs.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcs.py | Apache-2.0 |
def MakeRemoteCliDownloadUrl(self, bucket_name, object_path):
"""See base class.
Args:
bucket_name: GCS bucket, without gs://.
object_path: Path within the bucket to the object.
Returns:
The full gs:// URL.
"""
path = posixpath.join(bucket_name, object_path)
return 'gs://' + ... | See base class.
Args:
bucket_name: GCS bucket, without gs://.
object_path: Path within the bucket to the object.
Returns:
The full gs:// URL.
| MakeRemoteCliDownloadUrl | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcs.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcs.py | Apache-2.0 |
def ListTopLevelSubfolders(self, bucket_name):
"""Lists the top level folders (not files) in a bucket_name.
Each folder is returned as its full uri, eg. "gs://pkbtpch1/customer/", so
just the folder name is extracted. When there's more than one, splitting
on the newline returns a final blank row, so bl... | Lists the top level folders (not files) in a bucket_name.
Each folder is returned as its full uri, eg. "gs://pkbtpch1/customer/", so
just the folder name is extracted. When there's more than one, splitting
on the newline returns a final blank row, so blank values are skipped.
Args:
bucket_name: ... | ListTopLevelSubfolders | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcs.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcs.py | Apache-2.0 |
def AclBucket(self, entity: str, roles: TList[str], bucket_name: str):
"""Updates access control lists.
Args:
entity: the user or group to grant permission.
roles: the IAM roles to be granted.
bucket_name: the name of the bucket to change
"""
vm_util.IssueCommand([
'gsutil',
... | Updates access control lists.
Args:
entity: the user or group to grant permission.
roles: the IAM roles to be granted.
bucket_name: the name of the bucket to change
| AclBucket | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcs.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcs.py | Apache-2.0 |
def AcquireWritePermissionsWindows(cls, vm):
"""Prepare boto file on a remote Windows instance.
If the boto file specifies a service key file, copy that service key file to
the VM and modify the .boto file on the VM to point to the copied file.
Args:
vm: gce virtual machine object.
"""
i... | Prepare boto file on a remote Windows instance.
If the boto file specifies a service key file, copy that service key file to
the VM and modify the .boto file on the VM to point to the copied file.
Args:
vm: gce virtual machine object.
| AcquireWritePermissionsWindows | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcs.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcs.py | Apache-2.0 |
def AcquireWritePermissionsLinux(cls, vm):
"""Prepare boto file on a remote Linux instance.
If the boto file specifies a service key file, copy that service key file to
the VM and modify the .boto file on the VM to point to the copied file.
Args:
vm: gce virtual machine object.
"""
if GC... | Prepare boto file on a remote Linux instance.
If the boto file specifies a service key file, copy that service key file to
the VM and modify the .boto file on the VM to point to the copied file.
Args:
vm: gce virtual machine object.
| AcquireWritePermissionsLinux | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcs.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcs.py | Apache-2.0 |
def _PrepareGcsServiceKey(
cls, vm, boto_src, service_key_src, service_key_des
):
"""Copy GS service key file to remote VM and update key path in boto file.
Args:
vm: gce virtual machine object.
boto_src: string, the boto file path in local machine.
service_key_src: string, the gs ser... | Copy GS service key file to remote VM and update key path in boto file.
Args:
vm: gce virtual machine object.
boto_src: string, the boto file path in local machine.
service_key_src: string, the gs service key file in local machine.
service_key_des: string, the gs service key file in remote ... | _PrepareGcsServiceKey | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/gcs.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/gcs.py | Apache-2.0 |
def GetMonitoringLink(self):
"""Returns link to internal Cloud Run Jobsmonitoring page."""
utc_end = int(time.time()) + _TWO_HOURS - 5 * 60
return (
'https://monitoring.corp.google.com/dashboard/run/jobs%2Finstances?'
f'scope=cloud_project_number%3D{self.project_number}&'
f'duratio... | Returns link to internal Cloud Run Jobsmonitoring page. | GetMonitoringLink | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/google_cloud_run_jobs.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/google_cloud_run_jobs.py | Apache-2.0 |
def _RunClusterCreateCommand(self, cmd: util.GcloudCommand):
"""Adds flags to the cluster create command and runs it."""
# All combinations of cluster-version and release-channel are supported.
# Specifying one uses default for the other. Specifying both can be needed
# as some versions are only support... | Adds flags to the cluster create command and runs it. | _RunClusterCreateCommand | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/google_kubernetes_engine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/google_kubernetes_engine.py | Apache-2.0 |
def _IssueResourceCreationCommand(self, cmd: util.GcloudCommand):
"""Issues a command to gcloud to create resources."""
# This command needs a long timeout due to the many minutes it
# can take to provision a large GPU-accelerated GKE cluster.
_, stderr, retcode = cmd.Issue(timeout=ONE_HOUR, raise_on_f... | Issues a command to gcloud to create resources. | _IssueResourceCreationCommand | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/google_kubernetes_engine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/google_kubernetes_engine.py | Apache-2.0 |
def _Exists(self):
"""Returns True if the cluster exits."""
cmd = self._GcloudCommand('container', 'clusters', 'describe', self.name)
_, _, retcode = cmd.Issue(raise_on_failure=False)
return retcode == 0 | Returns True if the cluster exits. | _Exists | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/google_kubernetes_engine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/google_kubernetes_engine.py | Apache-2.0 |
def GetDefaultStorageClass(self) -> str:
"""Gets the default storage class for the provider."""
# https://cloud.google.com/kubernetes-engine/docs/how-to/persistent-volumes/gce-pd-csi-driver
# PD-SSD
return 'premium-rwo' | Gets the default storage class for the provider. | GetDefaultStorageClass | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/google_kubernetes_engine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/google_kubernetes_engine.py | Apache-2.0 |
def GetNodePoolNames(self) -> list[str]:
"""Get node pool names for the cluster."""
# Command `gcloud container node-pools list` does not work for Autopilot
# clusters - node pools are hidden and command results in 4xx.
cmd = self._GcloudCommand('container', 'clusters', 'describe', self.name)
cmd.fl... | Get node pool names for the cluster. | GetNodePoolNames | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/google_kubernetes_engine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/google_kubernetes_engine.py | Apache-2.0 |
def _CreateNodePools(self):
"""Creates additional nodepools for the cluster, if applicable."""
for name, nodepool in self.nodepools.items():
cmd = self._GcloudCommand(
'container', 'node-pools', 'create', name, '--cluster', self.name
)
self._AddNodeParamsToCmd(
nodepool,
... | Creates additional nodepools for the cluster, if applicable. | _CreateNodePools | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/google_kubernetes_engine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/google_kubernetes_engine.py | Apache-2.0 |
def _AddNodeParamsToCmd(
self,
nodepool_config: container_service.BaseNodePoolConfig,
cmd: util.GcloudCommand,
):
"""Modifies cmd to include node specific command arguments."""
# Apply labels to all nodepools.
cmd.flags['labels'] = util.MakeFormattedDefaultTags()
# Allow a long timeo... | Modifies cmd to include node specific command arguments. | _AddNodeParamsToCmd | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/google_kubernetes_engine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/google_kubernetes_engine.py | Apache-2.0 |
def LabelDisks(self):
"""Sets common labels on PVCs.
GKE does this in the background every hour. Do it immediately in case the
cluster is deleted within that hour.
https://cloud.google.com/kubernetes-engine/docs/how-to/creating-managing-labels#label_propagation
"""
pvcs = self._GetPvcs()
fo... | Sets common labels on PVCs.
GKE does this in the background every hour. Do it immediately in case the
cluster is deleted within that hour.
https://cloud.google.com/kubernetes-engine/docs/how-to/creating-managing-labels#label_propagation
| LabelDisks | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/google_kubernetes_engine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/google_kubernetes_engine.py | Apache-2.0 |
def ResizeNodePool(
self, new_size: int, node_pool: str = container_service.DEFAULT_NODEPOOL
):
"""Changes the number of nodes in the node pool."""
cmd = self._GcloudCommand('container', 'clusters', 'resize', self.name)
cmd.flags['num-nodes'] = new_size
# updates default node pool by default
... | Changes the number of nodes in the node pool. | ResizeNodePool | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/google_kubernetes_engine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/google_kubernetes_engine.py | Apache-2.0 |
def GetNodeSelectors(self) -> list[str]:
"""Node selectors for instance capabilites in AutoPilot clusters."""
selectors = []
# https://cloud.google.com/kubernetes-engine/docs/how-to/autopilot-gpus#request-gpus
if virtual_machine.GPU_TYPE.value:
gpu_count = virtual_machine.GPU_COUNT.value or 1
... | Node selectors for instance capabilites in AutoPilot clusters. | GetNodeSelectors | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/google_kubernetes_engine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/google_kubernetes_engine.py | Apache-2.0 |
def GetProjectNumber(project_id: str | None = None) -> str:
"""Get the number of the default project."""
# All GCP projects have both a project number & a project id. The project id
# is the human-readable name of the project.
if not project_id:
project_id = GetDefaultProject()
cmd = [
FLAGS.gcloud_... | Get the number of the default project. | GetProjectNumber | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/util.py | Apache-2.0 |
def GetZonesInRegion(region) -> Set[str]:
"""Gets a list of zones for the given region."""
cmd = GcloudCommand(None, 'compute', 'zones', 'list')
cmd.flags.update({
'filter': f"region='{region}'",
'format': 'value(name)',
})
stdout, _, _ = cmd.Issue()
return set(stdout.splitlines()) | Gets a list of zones for the given region. | GetZonesInRegion | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/util.py | Apache-2.0 |
def GetZonesFromMachineType(machine_type: str) -> Set[str]:
"""Gets a list of zones for the given machine type."""
cmd = GcloudCommand(None, 'compute', 'machine-types', 'list')
cmd.flags.update({
'filter': f"name='{machine_type}'",
'format': 'value(zone)',
})
stdout, _, _ = cmd.Issue()
zones_wit... | Gets a list of zones for the given machine type. | GetZonesFromMachineType | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/util.py | Apache-2.0 |
def GetMultiRegionFromRegion(region: str):
"""Gets the closest multi-region location to the region."""
if (
region.startswith('us')
or region.startswith('northamerica')
or region.startswith('southamerica')
):
return 'us'
elif region.startswith('europe'):
return 'eu'
elif region.start... | Gets the closest multi-region location to the region. | GetMultiRegionFromRegion | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/util.py | Apache-2.0 |
def IssueCommandFunction(cmd: 'GcloudCommand', **kwargs):
"""Use vm_util to issue the given command.
Args:
cmd: the gcloud command to run
**kwargs: additional arguments for the gcloud command
Returns:
stdout, stderr, retcode tuple from running the command
"""
kwargs['stack_level'] = kwargs.get('... | Use vm_util to issue the given command.
Args:
cmd: the gcloud command to run
**kwargs: additional arguments for the gcloud command
Returns:
stdout, stderr, retcode tuple from running the command
| IssueCommandFunction | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/util.py | Apache-2.0 |
def IssueRetryableCommandFunction(cmd: 'GcloudCommand', **kwargs):
"""Use vm_util to issue the given retryable command.
Args:
cmd: the gcloud command to run
**kwargs: additional arguments for the gcloud command
Returns:
stdout, stderr, tuple from running the command
"""
kwargs['stack_level'] = k... | Use vm_util to issue the given retryable command.
Args:
cmd: the gcloud command to run
**kwargs: additional arguments for the gcloud command
Returns:
stdout, stderr, tuple from running the command
| IssueRetryableCommandFunction | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/util.py | Apache-2.0 |
def SetIssueCommandFunction(func):
"""Set the issue command function to be the given function.
Args:
func: the function to run when issuing a GcloudCommand.
"""
global _issue_command_function
_issue_command_function = func | Set the issue command function to be the given function.
Args:
func: the function to run when issuing a GcloudCommand.
| SetIssueCommandFunction | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/util.py | Apache-2.0 |
def SetIssueRetryableCommandFunction(func):
"""Set the issue retryable command function to be the given function.
Args:
func: the function to run when issuing a GcloudCommand.
"""
global _issue_retryable_command_function
_issue_retryable_command_function = func | Set the issue retryable command function to be the given function.
Args:
func: the function to run when issuing a GcloudCommand.
| SetIssueRetryableCommandFunction | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/util.py | Apache-2.0 |
def __init__(self, common_resource: resource.BaseResource | None, *args):
"""Initializes a GcloudCommand with the provided args and common flags.
Args:
common_resource: A GCE resource of type BaseResource.
*args: sequence of strings. Non-flag args to pass to gcloud, typically
specifying an ... | Initializes a GcloudCommand with the provided args and common flags.
Args:
common_resource: A GCE resource of type BaseResource.
*args: sequence of strings. Non-flag args to pass to gcloud, typically
specifying an operation to perform (e.g. ['compute', 'images', 'list']
to list availabl... | __init__ | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/util.py | Apache-2.0 |
def GetCommand(self):
"""Generates the gcloud command.
Returns:
list of strings. When joined by spaces, forms the gcloud shell command.
Raises:
ValueError: if passed a None value
"""
cmd = [FLAGS.gcloud_path]
cmd.extend(self.args)
for flag_name, values in sorted(self.flags.item... | Generates the gcloud command.
Returns:
list of strings. When joined by spaces, forms the gcloud shell command.
Raises:
ValueError: if passed a None value
| GetCommand | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/util.py | Apache-2.0 |
def IssueRetryable(self, **kwargs):
"""Tries running the gcloud command until it succeeds or times out.
Args:
**kwargs: Keyword arguments to forward to vm_util.IssueRetryableCommand
when issuing the gcloud command.
Returns:
(stdout, stderr) pair of strings from running the gcloud comma... | Tries running the gcloud command until it succeeds or times out.
Args:
**kwargs: Keyword arguments to forward to vm_util.IssueRetryableCommand
when issuing the gcloud command.
Returns:
(stdout, stderr) pair of strings from running the gcloud command.
| IssueRetryable | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/util.py | Apache-2.0 |
def _AddCommonFlags(self, common_resource: resource.BaseResource | None):
"""Adds common flags to the command.
Adds common gcloud flags derived from the PKB flags and provided resource.
Args:
common_resource: A GCE resource of type BaseResource.
"""
self.flags['format'] = 'json'
self.fla... | Adds common flags to the command.
Adds common gcloud flags derived from the PKB flags and provided resource.
Args:
common_resource: A GCE resource of type BaseResource.
| _AddCommonFlags | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/util.py | Apache-2.0 |
def CheckGcloudResponseKnownFailures(stderr: str, retcode: int):
"""Checks gcloud responses for quota exceeded errors.
Args:
stderr: The stderr from a gcloud command.
retcode: The return code from a gcloud command.
"""
if retcode:
if _QUOTA_EXCEEDED_REGEX.search(stderr):
message = virtual... | Checks gcloud responses for quota exceeded errors.
Args:
stderr: The stderr from a gcloud command.
retcode: The return code from a gcloud command.
| CheckGcloudResponseKnownFailures | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/util.py | Apache-2.0 |
def AuthenticateServiceAccount(
vm: virtual_machine.BaseVirtualMachine,
vm_gcloud_path: str = 'gcloud',
benchmark: Any = None,
):
"""Authorize gcloud to access Google Cloud Platform with a service account.
If you want gcloud (and other tools in the Cloud SDK) to use service account
credentials to mak... | Authorize gcloud to access Google Cloud Platform with a service account.
If you want gcloud (and other tools in the Cloud SDK) to use service account
credentials to make requests, use this method to authenticate.
Account name is provided by FLAGS.gcp_service_account
Credentials are fetched from a file whose lo... | AuthenticateServiceAccount | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/util.py | Apache-2.0 |
def InstallGcloudComponents(
vm: virtual_machine.BaseVirtualMachine,
vm_gcloud_path: str = 'gcloud',
component: str = 'alpha',
):
"""Install gcloud components on the target vm.
Args:
vm: vm on which the gcloud's alpha components need to be installed.
vm_gcloud_path: Optional path to the gcloud ... | Install gcloud components on the target vm.
Args:
vm: vm on which the gcloud's alpha components need to be installed.
vm_gcloud_path: Optional path to the gcloud binary on the vm.
component: Gcloud component to install.
| InstallGcloudComponents | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/util.py | Apache-2.0 |
def SplitTags(tags: str):
"""Formats a string of joined tags into a dictionary.
Args:
tags: A string containing tags formatted as key1=value1,key2=value2,...
Returns:
An OrderedDict mapping tag keys to values in the order the tags were given.
"""
return collections.OrderedDict(
tag_pair.split(... | Formats a string of joined tags into a dictionary.
Args:
tags: A string containing tags formatted as key1=value1,key2=value2,...
Returns:
An OrderedDict mapping tag keys to values in the order the tags were given.
| SplitTags | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/util.py | Apache-2.0 |
def GetDefaultTags(timeout_minutes: int | None = None):
"""Get the default tags in a dictionary.
Args:
timeout_minutes: Timeout used for setting the timeout_utc tag.
Returns:
A dict of tags, contributed from the benchmark spec.
"""
benchmark_spec = context.GetThreadBenchmarkSpec()
if not benchmark... | Get the default tags in a dictionary.
Args:
timeout_minutes: Timeout used for setting the timeout_utc tag.
Returns:
A dict of tags, contributed from the benchmark spec.
| GetDefaultTags | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/util.py | Apache-2.0 |
def GetAccessToken(application_default: bool = True) -> str:
"""Gets the access token for the default project.
Args:
application_default: whether to use application-default in gcloud args.
Returns:
Text string of the access token.
"""
cmd = [FLAGS.gcloud_path, 'auth']
if application_default:
c... | Gets the access token for the default project.
Args:
application_default: whether to use application-default in gcloud args.
Returns:
Text string of the access token.
| GetAccessToken | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/util.py | Apache-2.0 |
def SetupPrivateServicesAccess(network: str, project: str) -> None:
"""Setup private services access for the network.
Private services access is used by several GCP services and enables VMs to
connect to service producers using internal IP addressses. See
https://cloud.google.com/vpc/docs/configure-private-ser... | Setup private services access for the network.
Private services access is used by several GCP services and enables VMs to
connect to service producers using internal IP addressses. See
https://cloud.google.com/vpc/docs/configure-private-services-access for more
info.
Args:
network: The network (VPC) nam... | SetupPrivateServicesAccess | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/util.py | Apache-2.0 |
def _InitializeNewModel(self) -> 'BaseVertexAiModel':
"""Returns a new instance of the same class."""
return self.__class__(
vm=self.vm,
model_spec=self.model_spec,
name=self.name + '2',
# Reuse the same bucket for the next model.
bucket_uri=self.bucket_uri,
) # pyty... | Returns a new instance of the same class. | _InitializeNewModel | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/vertex_ai.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/vertex_ai.py | Apache-2.0 |
def ListExistingEndpoints(self, region: str | None = None) -> list[str]:
"""Returns a list of existing model endpoint ids in the same region."""
if region is None:
region = self.region
# Expected output example:
# ENDPOINT_ID DISPLAY_NAME
# 12345 some_endpoint_name
... | Returns a list of existing model endpoint ids in the same region. | ListExistingEndpoints | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/vertex_ai.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/vertex_ai.py | Apache-2.0 |
def GetSamples(self) -> list[sample.Sample]:
"""Gets samples relating to the provisioning of the resource."""
samples = super().GetSamples()
metadata = self.GetResourceMetadata()
if self.model_upload_time:
samples.append(
sample.Sample(
'Model Upload Time',
se... | Gets samples relating to the provisioning of the resource. | GetSamples | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/vertex_ai.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/vertex_ai.py | Apache-2.0 |
def _UploadModel(self) -> None:
"""Uploads the model to the model registry."""
raise NotImplementedError(
'_UploadModel is not implemented for this model type.'
) | Uploads the model to the model registry. | _UploadModel | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/vertex_ai.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/vertex_ai.py | Apache-2.0 |
def _DeployModel(self) -> None:
"""Deploys the model to the endpoint."""
raise NotImplementedError(
'_DeployModel is not implemented for this model type.'
) | Deploys the model to the endpoint. | _DeployModel | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/vertex_ai.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/vertex_ai.py | Apache-2.0 |
def _CreateDependencies(self):
"""Creates the endpoint & copies the model to a bucket."""
super()._CreateDependencies()
if self.gcs_client:
gcs_bucket_copy_start_time = time.time()
self.gcs_client.MakeBucket(
self.bucket_uri
) # pytype: disable=attribute-error
self.gcs_cli... | Creates the endpoint & copies the model to a bucket. | _CreateDependencies | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/vertex_ai.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/vertex_ai.py | Apache-2.0 |
def _PreDelete(self) -> None:
"""Deletes dependencies before deleting the underlying resource."""
# Normally _DeleteDependencies is called by parent after _Delete, but we
# need to call it before.
self._DeleteDependencies() | Deletes dependencies before deleting the underlying resource. | _PreDelete | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/vertex_ai.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/vertex_ai.py | Apache-2.0 |
def GetPromptCommand(
self, prompt: str, max_tokens: int, temperature: float, **kwargs: Any
) -> str:
"""Returns the command to send a prompt to the model."""
instances = self.model_spec.ConvertToInstances(
prompt, max_tokens, temperature, **kwargs
)
instances_dict = {'instances': instan... | Returns the command to send a prompt to the model. | GetPromptCommand | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/vertex_ai.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/vertex_ai.py | Apache-2.0 |
def _GetPromptCommand(self, json_file_name: str):
"""Returns the prompting command once json file is written."""
return (
'gcloud ai endpoints predict'
f' {self.endpoint.endpoint_name} --json-request={json_file_name}'
) | Returns the prompting command once json file is written. | _GetPromptCommand | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/vertex_ai.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/vertex_ai.py | Apache-2.0 |
def _UploadModel(self) -> None:
"""Uploads the model via gcloud command."""
upload_cmd = (
f'gcloud ai models upload --display-name={self.name}'
f' --project={self.project} --region={self.region}'
f' --artifact-uri={self.model_bucket_path}'
)
if util.GetDefaultTags():
uploa... | Uploads the model via gcloud command. | _UploadModel | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/vertex_ai.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/vertex_ai.py | Apache-2.0 |
def _DeployModel(self):
"""Deploys the model to the endpoint via gcloud command."""
accelerator_type = self.model_spec.accelerator_type.lower()
accelerator_type = accelerator_type.replace('_', '-')
_, err, code = self.vm.RunCommand(
f'gcloud ai endpoints deploy-model {self.endpoint.endpoint_name... | Deploys the model to the endpoint via gcloud command. | _DeployModel | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/vertex_ai.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/vertex_ai.py | Apache-2.0 |
def __getstate__(self):
"""Override pickling as the AI platform objects are not picklable."""
to_pickle_dict = {
'name': self.name,
'model_name': self.model_name,
'model_bucket_path': self.model_bucket_path,
'region': self.region,
'project': self.project,
'service... | Override pickling as the AI platform objects are not picklable. | __getstate__ | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/vertex_ai.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/vertex_ai.py | Apache-2.0 |
def short_endpoint_name(self) -> str | None:
"""Returns the short name of the endpoint.
Returns: The short name.
ie 1234 rather than projects/123/locations/us-east1/endpoints/1234.
"""
if self.endpoint_name is None:
return None
return self.endpoint_name.split('/')[-1] | Returns the short name of the endpoint.
Returns: The short name.
ie 1234 rather than projects/123/locations/us-east1/endpoints/1234.
| short_endpoint_name | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/vertex_ai.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/vertex_ai.py | Apache-2.0 |
def UpdateLabels(self) -> None:
"""Updates the labels of the endpoint."""
self.vm.RunCommand(
f'gcloud ai endpoints update {self.endpoint_name} '
f' --project={self.project} --region={self.region}'
f' --update-labels={util.MakeFormattedDefaultTags()}',
) | Updates the labels of the endpoint. | UpdateLabels | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/vertex_ai.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/vertex_ai.py | Apache-2.0 |
def _FindRegexInOutput(
output: str,
regex: str,
exception_type: type[errors.Error] | None = None,
group_index: int = 1,
) -> str | None:
"""Returns the 1st match of the regex in the output.
Args:
output: The output to search.
regex: The regex to search for.
exception_type: The exceptio... | Returns the 1st match of the regex in the output.
Args:
output: The output to search.
regex: The regex to search for.
exception_type: The exception type to raise if no match is found.
group_index: If there are multiple groups in the regex, which one to return.
| _FindRegexInOutput | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/vertex_ai.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/vertex_ai.py | Apache-2.0 |
def GetModelUploadCliArgs(self, **input_args) -> str:
"""Returns the kwargs needed to upload the model."""
env_vars = self.GetEnvironmentVariables(**input_args)
env_vars_str = ','.join(f'{key}={value}' for key, value in env_vars.items())
ports_str = ','.join(str(port) for port in self.serving_container_... | Returns the kwargs needed to upload the model. | GetModelUploadCliArgs | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/vertex_ai.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/vertex_ai.py | Apache-2.0 |
def GetModelDeployKwargs(self) -> dict[str, Any]:
"""Returns the kwargs needed to deploy the model."""
return {
'machine_type': self.machine_type,
'accelerator_type': self.accelerator_type,
'accelerator_count': self.accelerator_count,
} | Returns the kwargs needed to deploy the model. | GetModelDeployKwargs | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/vertex_ai.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/vertex_ai.py | Apache-2.0 |
def GetEnvironmentVariables(self, **kwargs) -> dict[str, str]:
"""Returns container's environment variables needed by Llama2."""
return {
'MODEL_ID': kwargs['model_bucket_path'],
'DEPLOY_SOURCE': 'pkb',
} | Returns container's environment variables needed by Llama2. | GetEnvironmentVariables | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/vertex_ai.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/vertex_ai.py | Apache-2.0 |
def ConvertToInstances(
self, prompt: str, max_tokens: int, temperature: float, **kwargs: Any
) -> list[dict[str, Any]]:
"""Converts input to the form expected by the model."""
instances = {
'prompt': prompt,
'max_tokens': max_tokens,
'temperature': temperature,
}
for par... | Converts input to the form expected by the model. | ConvertToInstances | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/vertex_ai.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/vertex_ai.py | Apache-2.0 |
def GetModelGardenName(self) -> str:
"""Returns the name of the model in Model Garden."""
suffix = self.model_size
if self.model_size == 'scout-17b':
suffix += '-16e'
else:
suffix += '-128e'
return f'meta/llama4@llama-4-{suffix}' | Returns the name of the model in Model Garden. | GetModelGardenName | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/gcp/vertex_ai.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/gcp/vertex_ai.py | Apache-2.0 |
def Attach(self, vm):
"""Attaches the disk to a VM.
Args:
vm: instance of the vm to which the disk will be attached.
"""
if self.vol_id is None:
raise errors.Error(f'Cannot attach remote volume {self.name}')
if vm.vmid is None:
raise errors.Error(
f'Cannot attach remote ... | Attaches the disk to a VM.
Args:
vm: instance of the vm to which the disk will be attached.
| Attach | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/ibmcloud/ibmcloud_disk.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/ibmcloud/ibmcloud_disk.py | Apache-2.0 |
def _WaitForVolumeAttachment(self, vm):
"""Waits and checks until the volume status is attached."""
if self.vol_id is None:
return
volcmd = ibm.IbmAPICommand(self)
volcmd.flags.update(
{'instanceid': self.attached_vm.vmid, 'volume': self.vol_id}
)
logging.info(
'Checking vo... | Waits and checks until the volume status is attached. | _WaitForVolumeAttachment | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/ibmcloud/ibmcloud_disk.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/ibmcloud/ibmcloud_disk.py | Apache-2.0 |
def _GetDeviceFromVDisk(self, vm):
"""Gets device path for the volume."""
cmd = 'fdisk -l'
endtime = time.time() + _MAX_FIND_DEVICE_SECONDS
self.device_path = None
while time.time() < endtime:
stdout, _ = self.attached_vm.RemoteCommand(cmd)
# parse for lines that contain disk size in byt... | Gets device path for the volume. | _GetDeviceFromVDisk | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/ibmcloud/ibmcloud_disk.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/ibmcloud/ibmcloud_disk.py | Apache-2.0 |
def Request(
self, method, path, data=None, headers=None, timeout=None, session=None
):
"""Constructs base rest api calls to run against IBM Cloud regional api server.
Args:
method: one of GET, POST, PUT, PATCH or DELETE.
path: rest api uri.
data: body data.
headers: header data... | Constructs base rest api calls to run against IBM Cloud regional api server.
Args:
method: one of GET, POST, PUT, PATCH or DELETE.
path: rest api uri.
data: body data.
headers: header data if any.
timeout: timeout for the request
session: session object if available.
Return... | Request | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | Apache-2.0 |
def __getattr__(self, name):
"""Handles non standard action method names with underscores."""
if '_' not in name:
raise AttributeError(name)
action, path = name.split('_', 1)
if path in SPEC_PATHS:
paths = path
else:
paths = path.split('_')
if action in ['create', 'show', 'de... | Handles non standard action method names with underscores. | __getattr__ | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | Apache-2.0 |
def Create(
self,
name,
imageid,
profile,
vpcid,
zone=None,
key=None, # pytype: disable=signature-mismatch # overriding-parameter-count-checks
subnet=None,
networks=None,
resource_group=None,
iops=None,
capacity=None,
user_data=None,
... | Construct and send a vm create request.
Args:
name: name of the vm.
imageid: image id to use.
profile: machine_type.
vpcid: vpc id.
zone: zone name.
key: regional ssh key id.
subnet: subnet id.
networks: optional. additional subnet ids.
resource_group:... | Create | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | Apache-2.0 |
def CreateVolume(self, instance, name, volume, delete) -> Dict[str, Any]:
"""Send a volume create request on a vm."""
inst_uri = self.GetUri(instance) + '/volume_attachments'
return self._g.Request(
'POST',
'%s' % inst_uri,
{
'delete_volume_on_instance_delete': delete,
... | Send a volume create request on a vm. | CreateVolume | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | Apache-2.0 |
def ListVolumes(self, instance) -> Dict[str, Any]:
"""Send a volume list request on a vm."""
inst_uri = self.GetUri(instance) + '/volume_attachments'
return self._g.Request('GET', inst_uri) | Send a volume list request on a vm. | ListVolumes | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | Apache-2.0 |
def ShowVolume(self, instance, volume_attachment) -> Dict[str, Any]:
"""Send a volume get request on a vm."""
inst_uri = (
self.GetUri(instance) + '/volume_attachments/' + volume_attachment
)
return self._g.Request('GET', inst_uri) | Send a volume get request on a vm. | ShowVolume | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | Apache-2.0 |
def DeleteVolume(self, instance, volume_attachment):
"""Send a volume delete request on a vm."""
inst_uri = (
self.GetUri(instance) + '/volume_attachments/' + volume_attachment
)
return self._g.Request('DELETE', inst_uri) | Send a volume delete request on a vm. | DeleteVolume | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | Apache-2.0 |
def Create(self, zone, **kwargs) -> Dict[str, Any]: # pytype: disable=signature-mismatch # overriding-parameter-count-checks
"""Construct and send a vm create request.
Args:
zone: zone name.
**kwargs: name - volume name. profile - volume profile. capacity - boot
volume size. iops - iops o... | Construct and send a vm create request.
Args:
zone: zone name.
**kwargs: name - volume name. profile - volume profile. capacity - boot
volume size. iops - iops on the volume. resource_group - optional.
encryption_key - key to encrypt, optional.
Returns:
created volume.
| Create | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | Apache-2.0 |
def CreatePrefix(self, vpc, zone, cidr, name=None) -> Dict[str, Any]:
"""Send a vpc address prefix create request."""
req_data = {'zone': {'name': zone}, 'cidr': cidr}
if name:
req_data['name'] = name
vpc_uri = self.GetUri(vpc) + '/address_prefixes'
return self._g.Request('POST', '%s' % vpc_ur... | Send a vpc address prefix create request. | CreatePrefix | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | Apache-2.0 |
def DeletePrefix(self, vpc, prefix):
"""Send a vpc address prefix delete request."""
return self._g.Request(
'DELETE', 'vpcs/%s/address_prefixes/%s' % (vpc, prefix)
) | Send a vpc address prefix delete request. | DeletePrefix | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | Apache-2.0 |
def PatchPrefix(
self, vpc, prefix, default=False, name=None
) -> Dict[str, Any]:
"""Send a vpc address prefix patch request."""
req_data = {'is_default': default}
if name:
req_data['name'] = name
return self._g.Request(
'PATCH', 'vpcs/%s/address_prefixes/%s' % (vpc, prefix), req_d... | Send a vpc address prefix patch request. | PatchPrefix | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | Apache-2.0 |
def CreateRoutingTable(
self, vpc, name, routes=None, session=None
) -> Dict[str, Any]:
"""Send a vpc routing table create request."""
req_data = {'name': name}
if routes:
req_data['routes'] = routes
vpc_uri = self.GetUri(vpc) + '/routing_tables'
return self._g.Request('POST', '%s' % v... | Send a vpc routing table create request. | CreateRoutingTable | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | Apache-2.0 |
def ShowRoutingTable(self, vpc, routing, session=None) -> Dict[str, Any]:
"""Send a vpc routing table get request."""
return self._g.Request(
'GET', 'vpcs/%s/routing_tables/%s' % (vpc, routing), session=session
) | Send a vpc routing table get request. | ShowRoutingTable | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | Apache-2.0 |
def PatchRoutingTable(
self, vpc, routing, ingress, flag, session=None
) -> Dict[str, Any]:
"""Send a vpc routing table patch request."""
vpc_uri = self.GetUri(vpc) + '/routing_tables/' + routing
return self._g.Request('PATCH', vpc_uri, {ingress: flag}, session=session) | Send a vpc routing table patch request. | PatchRoutingTable | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | Apache-2.0 |
def DeleteRoutingTable(self, vpc, routing, session=None):
"""Send a vpc routing table delete request."""
vpc_uri = self.GetUri(vpc) + '/routing_tables/' + routing
return self._g.Request('DELETE', '%s' % vpc_uri, session=session) | Send a vpc routing table delete request. | DeleteRoutingTable | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | Apache-2.0 |
def ListRoutingTable(self, vpc, session=None) -> Dict[str, Any]:
"""Send a vpc routing table list request."""
return self._g.Request(
'GET', 'vpcs/%s/routing_tables?limit=100' % vpc, session=session
) | Send a vpc routing table list request. | ListRoutingTable | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | Apache-2.0 |
def Create(self, resource_group, vpcid, **kwargs) -> Dict[str, Any]: # pytype: disable=signature-mismatch # overriding-parameter-count-checks
"""Construct and send a security group create request.
Args:
resource_group: optional.
vpcid: vpc id.
**kwargs: name - name of the vm.
Return... | Construct and send a security group create request.
Args:
resource_group: optional.
vpcid: vpc id.
**kwargs: name - name of the vm.
Returns:
returns created security groups.
| Create | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | Apache-2.0 |
def ShowRule(self, sg, ruleid) -> Dict[str, Any]:
"""Send a security group rule get request."""
sg_uri = self.GetUris(sg) + '/rules/' + ruleid
return self._g.Request('GET', sg_uri) | Send a security group rule get request. | ShowRule | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | Apache-2.0 |
def ListRules(self, sg) -> Dict[str, Any]:
"""Send a security group rule list request."""
sg_uri = self.GetUris(sg) + '/rules'
return self._g.Request('GET', sg_uri) | Send a security group rule list request. | ListRules | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/ibmcloud/ibmcloud_manager.py | Apache-2.0 |
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