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test_mlvm.py
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test_mlvm.py
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import os
import pkg_resources
from absl.testing import absltest
from absl.testing import parameterized
from integration_tests.dataproc_test_case import DataprocTestCase
class MLVMTestCase(DataprocTestCase):
COMPONENT = "mlvm"
INIT_ACTIONS = ["mlvm/mlvm.sh"]
OPTIONAL_COMPONENTS = ["JUPYTER"]
# Submit using the jobs API, stored in GCS
PYTHON_SCRIPT = "mlvm/scripts/python_packages.py"
R_SCRIPT = "mlvm/scripts/r_packages.R"
SPARK_BQ_SCRIPT = "mlvm/scripts/spark_bq.py"
RAPIDS_SPARK_SCRIPT = "mlvm/scripts/verify_rapids_spark.py"
# Copied from local directories to cluster, then ran
RAPIDS_DASK_SCRIPT = "verify_rapids_dask.py"
DASK_YARN_SCRIPT = "verify_dask_yarn.py"
DASK_STANDALONE_SCRIPT = "verify_dask_standalone.py"
def verify_python(self):
self.assert_dataproc_job(
self.name, "pyspark", "{}/{}".format(self.INIT_ACTIONS_REPO,
self.PYTHON_SCRIPT))
def verify_r(self):
self.assert_dataproc_job(
self.name, "spark-r", "{}/{}".format(self.INIT_ACTIONS_REPO,
self.R_SCRIPT))
def verify_spark_bigquery_connector(self):
self.assert_dataproc_job(
self.name, "pyspark", "{}/{}".format(self.INIT_ACTIONS_REPO,
self.SPARK_BQ_SCRIPT))
def verify_gpu(self):
for machine_suffix in ["m", "w-0", "w-1"]:
self.assert_instance_command("{}-{}".format(self.name, machine_suffix),
"nvidia-smi")
def verify_dask(self, dask_runtime):
if dask_runtime == "standalone":
script = self.DASK_STANDALONE_SCRIPT
else:
script = self.DASK_YARN_SCRIPT
name = "{}-m".format(self.getClusterName())
verify_cmd = "/opt/conda/default/bin/python {}".format(script)
self.upload_test_file(
os.path.join(
os.path.dirname(os.path.abspath(__file__)), "scripts", script),
name)
self.assert_instance_command(name, verify_cmd)
self.remove_test_script(script, name)
def verify_rapids_spark(self):
self.assert_dataproc_job(
self.name, "pyspark", "{}/{}".format(self.INIT_ACTIONS_REPO,
self.RAPIDS_SPARK_SCRIPT))
def verify_rapids_dask(self):
name = "{}-m".format(self.name)
self.upload_test_file(
os.path.join(
os.path.dirname(os.path.abspath(__file__)), "scripts",
self.RAPIDS_DASK_SCRIPT), name)
verify_cmd = "/opt/conda/default/bin/python {}".format(
self.RAPIDS_DASK_SCRIPT)
self.assert_instance_command(name, verify_cmd)
self.remove_test_script(self.RAPIDS_DASK_SCRIPT, name)
def verify_all(self):
self.verify_python()
self.verify_r()
self.verify_spark_bigquery_connector()
@parameterized.parameters(
("STANDARD", None),
("STANDARD", "yarn"),
("STANDARD", "standalone"),
)
def test_mlvm(self, configuration, dask_runtime):
if self.getImageOs() == 'rocky':
self.skipTest("Not supported in Rocky Linux-based images")
# Supported on Dataproc 2.0+
if self.getImageVersion() < pkg_resources.parse_version("2.0"):
self.skipTest("Not supported in pre 2.0 images")
metadata = "init-actions-repo={}".format(self.INIT_ACTIONS_REPO)
if dask_runtime:
metadata += ",dask-runtime={}".format(dask_runtime)
self.createCluster(
configuration,
self.INIT_ACTIONS,
optional_components=self.OPTIONAL_COMPONENTS,
machine_type="n1-standard-4",
timeout_in_minutes=60,
metadata=metadata)
self.verify_all()
self.verify_dask(dask_runtime)
@parameterized.parameters(
("STANDARD", None, None),
("STANDARD", None, "SPARK"),
("STANDARD", "yarn", "DASK"),
("STANDARD", "standalone", "DASK"),
)
def test_mlvm_gpu(self, configuration, dask_runtime, rapids_runtime):
if self.getImageOs() == 'rocky':
self.skipTest("Not supported in Rocky Linux-based images")
# Supported on Dataproc 2.0+
if self.getImageVersion() < pkg_resources.parse_version("2.0"):
self.skipTest("Not supported in pre 2.0 images")
metadata = ("init-actions-repo={},include-gpus=true"
",gpu-driver-provider=NVIDIA").format(self.INIT_ACTIONS_REPO)
cudnn_version = "8.1.1.33"
cuda_version = "11.2"
metadata = ("init-actions-repo={},include-gpus=true"
",gpu-driver-provider=NVIDIA,"
"cuda-version={},cudnn-version={}").format(
self.INIT_ACTIONS_REPO, cuda_version, cudnn_version)
if dask_runtime:
metadata += ",dask-runtime={}".format(dask_runtime)
if rapids_runtime:
metadata += ",rapids-runtime={}".format(rapids_runtime)
self.createCluster(
configuration,
self.INIT_ACTIONS,
optional_components=self.OPTIONAL_COMPONENTS,
machine_type="n1-standard-4",
master_accelerator="type=nvidia-tesla-t4",
worker_accelerator="type=nvidia-tesla-t4",
timeout_in_minutes=60,
metadata=metadata)
self.verify_all()
self.verify_gpu()
if rapids_runtime == "SPARK":
self.verify_rapids_spark()
elif rapids_runtime == "DASK":
self.verify_rapids_dask()
if __name__ == "__main__":
absltest.main()