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)
Exemplo n.º 2
0
async def create_container_mapping(
    container_mapping: ContainerMapping,
    session: AsyncSession = Depends(get_db_session),  # noqa: B008
):
    """Add a new infrastructure"""

    # The following uses a different driver as the app itself.
    # Meaning that this query goes to the real DB and ignores the
    # temporary test db for the API when testing.
    driver = Driver()
    mapper = Mapper(driver)

    mapper.add_optcontainer(
        {
            "name": container_mapping.opt_dsl_code,
            "app_name": container_mapping.app_name,
            "build": {
                "enable_opt_build": container_mapping.enable_opt_build,
                **container_mapping.target.dict(),
            },
            "optimisation": container_mapping.selectors,
            "container_file": container_mapping.container_name,
            "image_type": container_mapping.container_type,
            "image_hub": container_mapping.container_registry,
        }
    )
    return container_mapping
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"
class test_driver(unittest.TestCase):
    def setUp(self):
        self.driver = Driver()

    def tearDown(self):
        pass

    def test_driver(self):
        data = self.driver.select_sql(
            select(Optimisation.opt_dsl_code, Optimisation.app_name).where(
                Optimisation.app_name == "pytorch"))
        self.assertEqual(data[0][1], "pytorch")
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_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"
def test_enforce_opt():
    """
    Check that Enforcer.enforce_opt returns a non-empty set of and location for a DB entry
    """

    driver = Driver()
    enforcer = Enforcer(driver)
    scripts, _ = enforcer.enforce_opt(
        "tensorflow",
        Job.construct(target=Target(name="test", job_scheduler_type="slurm")),
        ["version:2.1", "xla:true"],
    )

    assert scripts, "empty set returned"
def modak_driver_fixture(dbengine):
    """Get a Driver instance tied to an in-memory DB engine"""
    yield Driver(dbengine)
 def setUp(self):
     self.driver = Driver()
     self.m = Mapper(self.driver)
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"
 def setUp(self):
     self.driver = Driver()
def test_scaler_no_dsl_code(dbengine):
    driver = Driver(dbengine)

    scaler = Scaler(driver)
    app = Application.construct(app_tag="testapp", mpi_ranks=256)
    assert not scaler.scale(app)