def testVMNotCreatedByExecGroup(self):
instance_helper = tpu_utils.Instance(self.track)
instance = instance_helper.BuildInstanceSpec('fake-instance',
'fake-zone',
'fake-machine-type', -1,
False, 'default')
instance.labels = self.instances_messages.Instance.LabelsValue()
self.assertFalse(instance_helper._VMCreatedByExecGroup(instance))
def testInstanceIsRunning(self):
instance_helper = tpu_utils.Instance(self.track)
instance = instance_helper.BuildInstanceSpec('fake-instance',
'fake-zone',
'fake-machine-type', -1,
False, 'default')
instance.status = self.instances_messages.Instance.StatusValueValuesEnum.RUNNING
self.assertEqual(instance_helper.IsRunning(instance), True)
def testVMCreatedByExecGroup(self):
instance_helper = tpu_utils.Instance(self.track)
instance = instance_helper.BuildInstanceSpec('fake-instance',
'fake-zone',
'fake-machine-type', -1,
False, 'default')
instance.labels = self.instances_messages.Instance.LabelsValue(
additionalProperties=self.createMultipleLabels())
self.assertTrue(instance_helper._VMCreatedByExecGroup(instance))
def testImageFamilyFromTensorflowVersion(self):
tests = [
['1.6', True, 'tf-1-6-gpu'],
['1.6.35', False, 'tf-1-6-35'],
['1.6', False, 'tf-1-6'],
]
instance_helper = tpu_utils.Instance(self.track)
for test in tests:
got = instance_helper._ImageFamilyFromTensorflowVersion(
test[0], test[1])
self.assertEqual(got, test[2])
def testInstanceIsNotRunning(self):
instance_helper = tpu_utils.Instance(self.track)
instance = instance_helper.BuildInstanceSpec('fake-instance',
'fake-zone',
'fake-machine-type', -1,
False, 'default')
state_enum = self.instances_messages.Instance.StatusValueValuesEnum
for state in state_enum:
if state != state_enum.RUNNING:
instance.status = state
self.assertFalse(instance_helper.IsRunning(instance))
def Run(self, args):
tpu_utils.DefaultArgs.ValidateZone(args)
responses = []
instance_helper = tpu_utils.Instance(self.ReleaseTrack())
try:
instance = instance_helper.Get(args.execution_group_name,
args.zone)
except HttpNotFoundError:
# As it stands, we provide vm-only option but no tpu-only option. So if
# there is no VM, then we can safely short-circuit and claim the
# execution group is not found.
responses.append(GetResult('Execution Group Status:', 'Not Found'))
return responses
responses.append(
GetResult(
'Compute Engine Instance IP Address:',
instance.networkInterfaces and instance.networkInterfaces[0]
and instance.networkInterfaces[0].networkIP))
responses.append(
GetResult('Compute Engine Created:', instance.creationTimestamp))
responses.append(
GetResult('Compute Engine Machine Type:', instance.machineType))
node_helper = tpu_utils.TPUNode(self.ReleaseTrack())
node = None
try:
node = node_helper.Get(args.execution_group_name, args.zone)
except HttpNotFoundError:
responses.append(GetResult('TPU Node status:', 'Not Found'))
if node:
responses.append(
GetResult('TPU Accelerator Type:', node.acceleratorType))
responses.append(
GetResult(
'TPU IP Address:', node.networkEndpoints
and node.networkEndpoints[0]
and node.networkEndpoints[0].ipAddress))
responses.append(
GetResult('TPU TF Version:', node.tensorflowVersion))
responses.append(
GetResult('TPU Service Account:', node.serviceAccount))
responses.append(GetResult('TPU Created:', node.createTime))
responses.append(GetResult('TPU State:', node.state))
responses.append(GetResult('TPU Health:', node.health))
responses.append(
GetResult(
'TPU Preemptible:', node.schedulingConfig
and node.schedulingConfig.preemptible))
return responses
def testImageFamilyResolutionFromTensorflowVersion(self):
instance_helper = tpu_utils.Instance(self.track)
self.ExpectComputeImagesGetFamily('tf-1-6-gpu', 'fake-project',
'fake-image-self-link')
instance_helper.ResolveImageFromTensorflowVersion(
'1.6', 'fake-project', True)
self.ExpectComputeImagesGetFamily('tf-1-7-35', 'fake-project-2',
'fake-image-self-link')
instance_helper.ResolveImageFromTensorflowVersion(
'1.7.35', 'fake-project-2', False)
def testImageFamilyFromTensorflowVersionWithParseError(self):
instance_helper = tpu_utils.Instance(self.track)
with self.assertRaisesRegex(
tpu_utils.TensorflowVersionParser.ParseError,
r'Invalid tensorflow version:1.7-RC3 \(non-empty modifier\); please '
'set the --gce-image flag'):
instance_helper._ImageFamilyFromTensorflowVersion('1.7-RC3', False)
with self.assertRaisesRegex(
tpu_utils.TensorflowVersionParser.ParseError,
r'Invalid tensorflow version:1.6-RC1 \(non-empty modifier\); please set '
'the --gce-image flag'):
instance_helper._ImageFamilyFromTensorflowVersion('1.6-RC1', True)
def _makeTestInstanceSpec(self,
instance_name,
preemptible_vm,
source_image,
network='default'):
instance_helper = tpu_utils.Instance(self.track)
return instance_helper.BuildInstanceSpec(instance_name,
'central2-a',
'n1-standard-1',
250,
preemptible=preemptible_vm,
source_image=source_image,
network=network)
def Run(self, args):
responses = []
tpu_operation_ref = None
instance_operation_ref = None
tpu_utils.DefaultArgs.ValidateZone(args)
if not args.tpu_only:
instance = tpu_utils.Instance(self.ReleaseTrack())
try:
instance_operation_ref = instance.Delete(args.execution_group_name,
args.zone)
except HttpNotFoundError:
log.status.Print(
'Instance:{} not found, possibly already deleted.'.format(
args.execution_group_name))
tpu = tpu_utils.TPUNode(self.ReleaseTrack())
try:
tpu_operation_ref = tpu.Delete(args.execution_group_name, args.zone)
except HttpNotFoundError:
log.status.Print(
'TPU Node:{} not found, possibly already deleted.'.format(
args.execution_group_name))
if instance_operation_ref:
try:
instance_delete_response = instance.WaitForOperationNoResources(
instance_operation_ref, 'Deleting GCE VM')
responses.append(instance_delete_response)
except HttpNotFoundError:
log.status.Print(
'Instance:{} not found, possibly already deleted.'.format(
args.execution_group_name))
if tpu_operation_ref:
try:
responses.append(
tpu.WaitForOperationNoResources(
tpu_operation_ref, 'Deleting TPU node'))
except HttpNotFoundError:
log.status.Print(
'TPU Node:{} not found, possibly already deleted.'.format(
args.execution_group_name))
return responses
def Run(self, args):
responses = []
instances = {}
nodes = {}
instance_helper = tpu_utils.Instance(self.ReleaseTrack())
for instance in instance_helper.List(args.zone):
instances[instance.name] = instance
node_helper = tpu_utils.TPUNode(self.ReleaseTrack())
for node in node_helper.List(args.zone):
nodes[node_helper.NodeName(node)] = node
for name, instance in instances.items():
if name not in nodes.keys():
responses.append(ListResult(name, 'Paused'))
elif instance_helper.IsRunning(instance) and node_helper.IsRunning(
nodes[name]):
responses.append(ListResult(name, 'Running'))
else:
responses.append(ListResult(name, 'Unknown Status'))
return sorted(responses)
def Run(self, args):
tpu_utils.DefaultArgs.ValidateZone(args)
responses = []
tpu = tpu_utils.TPUNode(self.ReleaseTrack())
tpu_operation_ref = None
instance_operation_ref = None
if not args.vm_only:
try:
tpu_operation_ref = tpu.Create(args.execution_group_name,
args.accelerator_type,
args.tf_version, args.zone,
args.preemptible, args.network)
except HttpConflictError:
log.status.Print('TPU Node with name:{} already exists, '
'try a different name'.format(
args.execution_group_name))
return responses
instance = tpu_utils.Instance(self.ReleaseTrack())
try:
instance_operation_ref = instance.Start(args.execution_group_name,
args.zone)
except HttpNotFoundError:
log.status.Print('Instance:{} not found, possibly deleted.'.format(
args.execution_group_name))
return responses
if instance_operation_ref:
instance_start_response = instance.WaitForOperation(
instance_operation_ref, 'Starting GCE VM')
responses.append(instance_start_response)
if tpu_operation_ref:
responses.append(
tpu.WaitForOperation(
tpu_operation_ref,
'Creating TPU node:{}'.format(args.execution_group_name)))
return responses
def Run(self, args):
responses = []
if args.dry_run:
self.DryRun(args)
return responses
tpu = tpu_utils.TPUNode(self.ReleaseTrack())
if not args.tf_version:
try:
args.tf_version = tpu.LatestStableTensorflowVersion(args.zone)
except HttpNotFoundError:
log.err.Print(
'Could not find stable Tensorflow version, please '
'set tensorflow version flag using --tf-version')
return responses
if not args.vm_only:
try:
tpu_operation_ref = tpu.Create(args.name,
args.accelerator_type,
args.tf_version, args.zone,
args.preemptible, args.network)
except HttpConflictError:
log.err.Print('TPU Node with name:{} already exists, '
'try a different name'.format(args.name))
return responses
if not args.tpu_only:
instance = tpu_utils.Instance(self.ReleaseTrack())
gce_image = args.gce_image
if not gce_image:
gce_image = instance.ResolveImageFromTensorflowVersion(
args.tf_version, 'ml-images', args.use_dl_images)
try:
instance_operation_ref = instance.Create(
args.name, args.zone, args.machine_type,
utils.BytesToGb(args.disk_size), args.preemptible_vm,
gce_image, args.network)
except HttpConflictError:
err_msg = ('VM with name:{} already exists, '
'try a different name.').format(args.name)
if not args.vm_only:
err_msg += (' TPU Node:{} creation is underway and will '
'need to be deleted.'.format(args.name))
log.err.Print(err_msg)
return responses
if not args.vm_only:
responses.append(
tpu.WaitForOperation(tpu_operation_ref,
'Creating TPU node:{}'.format(args.name)))
if not args.tpu_only:
instance_create_response = instance.WaitForOperation(
instance_operation_ref, 'Creating GCE VM:{}'.format(args.name))
responses.append(instance_create_response)
ssh_helper = tpu_utils.SSH(self.ReleaseTrack())
responses.append(
ssh_helper.SSHToInstance(args, instance_create_response))
return responses
