def test_scaler_max(dbengine):
driver = Driver(dbengine)
stmt = insert(db.Optimisation).values(
opt_dsl_code="test01",
app_name="testapp",
target="enable_opt_build:false",
)
driver.update_sql(stmt)
MAX_NRANKS = 16
MAX_NTHREADS = 4
stmt = insert(db.ScalingModel).values(
opt_dsl_code="test01",
model={
"name": "max",
"max_nranks": MAX_NRANKS,
"max_nthreads": MAX_NTHREADS
},
)
driver.update_sql(stmt)
scaler = Scaler(driver)
app = Application.construct(app_tag="testapp", mpi_ranks=256, threads=8)
assert scaler.scale(app) # the scaling should run
assert app.mpi_ranks == MAX_NRANKS
assert app.threads == MAX_NTHREADS
def test_scaler_no_model(dbengine):
driver = Driver(dbengine)
stmt = insert(db.Optimisation).values(
opt_dsl_code="test01",
app_name="testapp",
target="enable_opt_build:false",
)
driver.update_sql(stmt)
scaler = Scaler(driver)
app = Application.construct(app_tag="testapp", mpi_ranks=256)
assert not scaler.scale(app)
def test_enforce_infra_storage_pref(dbengine):
"""
Check that Enforcer.enforce_opt returns the storage location from an infra
"""
driver = Driver(dbengine)
enforcer = Enforcer(driver)
infra = InfrastructureIn(
name="testinfra",
configuration={
"storage": {
"file:///var/tmp": {
"storage_class": "default-ssd"
},
"file:///data": {
"storage_class": "default-common"
},
}
},
)
stmt = insert(db.Infrastructure).values(**infra.dict())
driver.update_sql(stmt)
_, tenv = enforcer.enforce_opt(
"fancy",
Job.construct(
target=Target(name="testinfra", job_scheduler_type="slurm"),
application=Application.construct(storage_class_pref=None),
),
["myfeat:true"],
)
# no spec will return the "slowest" (cheaptest) storage class first
assert tenv["preferred_storage_location"] == "file:///data"
_, tenv = enforcer.enforce_opt(
"fancy",
Job.construct(
target=Target(name="testinfra", job_scheduler_type="slurm"),
application=Application.construct(
storage_class_pref="default-ssd"),
),
["myfeat:true"],
)
assert tenv["preferred_storage_location"] == "file:///var/tmp"
def test_enforce_app_script(dbengine):
"""
Check that Enforcer.enforce_opt returns an app-conditioned script
"""
driver = Driver(dbengine)
enforcer = Enforcer(driver)
script = ScriptIn(
conditions={"application": {
"name": "fancy"
}},
data={
"stage": "pre",
"raw": "echo hello"
},
)
stmt = insert(db.Script).values(**script.dict())
driver.update_sql(stmt)
scripts, _ = enforcer.enforce_opt(
"inexistentapp",
Job.construct(
target=Target(name="testinfra", job_scheduler_type="slurm")),
[],
)
assert not scripts, "scripts returned while it should not have"
# despite target and myfeat, this should return the script
scripts, _ = enforcer.enforce_opt(
"fancy",
Job.construct(
target=Target(name="testinfra", job_scheduler_type="slurm")),
["myfeat:true"],
)
assert scripts, "scripts not found"
def test_enforce_infra_script(dbengine):
"""
Check that Enforcer.enforce_opt returns an infra-conditioned script
"""
driver = Driver(dbengine)
enforcer = Enforcer(driver)
stmt = insert(db.Script).values(
conditions={"infrastructure": {
"name": "testinfra"
}},
data={
"stage": "pre",
"raw": "echo hello"
},
)
driver.update_sql(stmt)
scripts, _ = enforcer.enforce_opt(
"inexistentapp",
Job.construct(
target=Target(name="testinfra", job_scheduler_type="slurm")),
[],
)
assert scripts, "empty list of scripts returned"
assert scripts[0].conditions.infrastructure
assert scripts[0].conditions.infrastructure.name == "testinfra"
scripts, _ = enforcer.enforce_opt(
"inexistentapp",
Job.construct(
target=Target(name="wrongtestinfra", job_scheduler_type="slurm")),
[],
)
assert not scripts, "scripts returned while it should not have"
class test_mapper(unittest.TestCase):
def setUp(self):
self.driver = Driver()
self.m = Mapper(self.driver)
def tearDown(self):
pass
def test_add_opt(self):
target_string = '{"cpu_type":"x86","acc_type":"nvidia"}'
opt_string = '{"xla":true,"version":"1.1"}'
stmt = delete(Optimisation).where(
Optimisation.opt_dsl_code == "TF_PIP_XLA"
) # no need to delete Mapper, since DB is set to CASCADE
self.driver.update_sql(stmt)
self.m.add_optimisation(
"TF_PIP_XLA",
"tensorflow",
json.loads(target_string),
json.loads(opt_string),
)
data = self.driver.select_sql(
select(Optimisation.app_name).where(
Optimisation.opt_dsl_code == "TF_PIP_XLA"))
self.assertEqual(len(data), 1)
print(data[0][0])
self.assertEqual(data[0][0], "tensorflow")
def test_add_container(self):
stmt = delete(Map).where(Map.opt_dsl_code == "TF_PIP_XLA")
self.driver.update_sql(stmt)
data = self.driver.select_sql(
select(Map.container_file).where(Map.opt_dsl_code == "TF_PIP_XLA"))
self.assertEqual(len(data), 0)
self.m.add_container("TF_PIP_XLA",
"AI/containers/tensorflow/tensorflow_pip_xla")
data = self.driver.select_sql(
select(Map.container_file).where(Map.opt_dsl_code == "TF_PIP_XLA"))
self.assertEqual(len(data), 1)
self.assertEqual(data[0][0],
"AI/containers/tensorflow/tensorflow_pip_xla")
def test_map_container_ai(self):
dsl_file = SCRIPT_DIR / "input" / "tf_snow.json"
model = JobModel.parse_raw(dsl_file.read_text())
new_container = self.m.map_container(model.job.application,
model.job.optimisation)
self.assertEqual(new_container,
"docker.io://modakopt/modak:tensorflow-2.1-gpu-src")
def test_map_container_hpc(self):
model = JobModel.parse_raw(
SCRIPT_DIR.joinpath("input/mpi_solver.json").read_text())
assert model.job.optimisation
dsl_code = self.m._decode_hpc_opt(model.job.application.app_tag,
model.job.optimisation)
self.assertEqual(dsl_code, "mpich_ub1804_cuda101_mpi314_gnugprof")
def test_map_container_aliased(self):
dsl_file = SCRIPT_DIR / "input" / "tf_snow.json"
with patch.object(Settings, "image_hub_aliases",
{"docker": "docker.invalid"}):
model = JobModel.parse_raw(dsl_file.read_text())
new_container = self.m.map_container(model.job.application,
model.job.optimisation)
self.assertEqual(
new_container,
"docker.invalid://modakopt/modak:tensorflow-2.1-gpu-src",
)
def test_enforce_infra_storage_script(dbengine):
"""
Check that Enforcer.enforce_opt returns an infra- & storage-conditioned script
"""
driver = Driver(dbengine)
enforcer = Enforcer(driver)
# insert a script which should be enabled if the chosen infra provides this storage_class
script = ScriptIn(
conditions={
"infrastructure": {
"name": "testinfra",
"storage_class": "default-ssd"
}
},
data={
"stage": "pre",
"raw": "echo 'hello any storage'"
},
)
stmt = insert(db.Script).values(**script.dict())
driver.update_sql(stmt)
scripts, _ = enforcer.enforce_opt(
"inexistentapp",
Job.construct(
target=Target(name="testinfra", job_scheduler_type="slurm")),
[],
)
assert not scripts, "script returned despite no infrastructure entry"
infra = InfrastructureIn(
name="testinfra",
configuration={
"storage": {
"file:///var/tmp": {
"storage_class": "default-ssd"
}
}
},
)
stmt = insert(db.Infrastructure).values(**infra.dict())
driver.update_sql(stmt)
scripts, _ = enforcer.enforce_opt(
"fancy",
Job.construct(
target=Target(name="testinfra", job_scheduler_type="slurm"),
application=Application.construct(storage_class_pref=None),
),
["myfeat:true"],
)
assert scripts, "scripts not found"
# insert a script which should be enabled if the chosen infra provides this storage_class
script = ScriptIn(
conditions={
"infrastructure": {
"storage_class": "default-ssd"
},
"application": {
"name": "testapp"
},
},
data={
"stage": "pre",
"raw": "echo 'hello ssd-only'"
},
)
stmt = insert(db.Script).values(**script.dict())
driver.update_sql(stmt)
scripts, _ = enforcer.enforce_opt(
"testapp",
Job.construct(
target=Target(name="testinfra", job_scheduler_type="slurm"),
application=Application.construct(storage_class_pref=None),
),
[],
)
assert len(scripts) == 2, "scripts not found"