def get_op_specification(
self, params=None, profile=None, queue=None, nocache=None
) -> V1Operation:
job_data = {"version": self.config.version, "kind": kinds.OPERATION}
if params:
if not isinstance(params, Mapping):
raise PolyaxonfileError(
"Params: `{}` must be a valid mapping".format(params)
)
job_data["params"] = params
if profile:
job_data["profile"] = profile
if queue:
job_data["queue"] = queue
if nocache is not None:
job_data["cache"] = {"disable": nocache}
if self.config.kind == kinds.OPERATION:
config = get_specification(data=[self.config.to_dict(), job_data])
else:
job_data["component"] = self.config.to_dict()
config = get_specification(data=[job_data])
params = copy.deepcopy(config.params)
# Sanity check if params were passed
run_config = OperationSpecification.compile_operation(config)
run_config.validate_params(params=params, is_template=False)
if run_config.is_dag_run:
CompiledOperationSpecification.apply_context(run_config)
return config
def test_tf_passes(self):
run_config = CompiledOperationSpecification.read(
[
os.path.abspath("tests/fixtures/plain/distributed_tensorflow_file.yml"),
{"kind": "compiled_operation"},
]
)
run_config = CompiledOperationSpecification.apply_operation_contexts(run_config)
assert run_config.version == 1.1
assert run_config.termination is not None
assert run_config.termination.ttl == 12
assert run_config.is_tf_job_run
assert run_config.run.worker.replicas == 5
assert run_config.run.worker.environment.affinity is not None
assert run_config.run.worker.environment.restart_policy == "OnFailure"
assert run_config.run.worker.container.resources == {
"requests": {"memory": "300Mi"},
"limits": {"memory": "300Mi"},
}
assert run_config.run.ps.replicas == 10
assert run_config.run.ps.environment.affinity is None
assert isinstance(run_config.run.ps.environment.tolerations, list)
assert run_config.run.ps.environment.restart_policy == "OnFailure"
assert run_config.run.ps.container.resources == {
"requests": {"cpu": 3, "memory": "256Mi"},
"limits": {"cpu": 3, "memory": "256Mi"},
}
def test_simple_file_passes(self):
run_config = CompiledOperationSpecification.read([
os.path.abspath("tests/fixtures/plain/simple_job.yml"),
{
"kind": "compiled_operation"
},
])
run_config = CompiledOperationSpecification.apply_context(run_config)
assert run_config.version == 1.05
assert run_config.tags is None
assert len(run_config.run.volumes) == 1
assert run_config.run.to_dict()["volumes"][0] == {
"name": "foo",
"secret": {
"secretName": "mysecret"
},
}
assert run_config.run.container.image == "python-with-boto3"
assert run_config.run.container.command == "python download-s3-bucket"
assert run_config.run.container.resources == {
"requests": {
"nvidia.com/gpu": 1
},
"limits": {
"nvidia.com/gpu": 1
},
}
assert run_config.run.container.volume_mounts == [{
"name": "foo",
"mount_path": "~/.aws/credentials",
"readOnly": True
}]
def test_job_file_with_environment_passes(self):
run_config = CompiledOperationSpecification.read(
[
os.path.abspath("tests/fixtures/plain/job_file_with_environment.yml"),
{"kind": "compiled_operation"},
]
)
run_config = CompiledOperationSpecification.apply_operation_contexts(run_config)
assert run_config.version == 1.1
assert isinstance(run_config.run.environment, V1Environment)
assert run_config.run.environment.node_selector == {"polyaxon.com": "core"}
assert run_config.run.container.resources == {
"requests": {"cpu": 1, "memory": 200},
"limits": {"cpu": 2, "memory": 200},
}
assert run_config.run.environment.affinity.node_affinity == {
"requiredDuringSchedulingIgnoredDuringExecution": {}
}
assert run_config.run.environment.tolerations[0].key == "key"
assert run_config.run.environment.tolerations[0].operator == "Exists"
assert run_config.run.environment.labels == {
"label_key1": "val1",
"label_key2": "val2",
}
assert run_config.run.environment.annotations == {
"annotation_key1": "val1",
"annotation_key2": "val2",
}
assert run_config.run.environment.service_account_name == "new_sa"
assert run_config.run.environment.image_pull_secrets == ["secret1", "secret2"]
assert run_config.run.environment.security_context.run_as_user == 1000
assert run_config.run.environment.security_context.run_as_group == 3000
assert isinstance(run_config.plugins, V1Plugins)
assert run_config.plugins.log_level == "DEBUG"
def test_specification_with_quotes(self):
run_config = CompiledOperationSpecification.read([
os.path.abspath(
"tests/fixtures/plain/polyaxonfile_with_quotes.yaml"),
{
"kind": "compiled_operation"
},
])
run_config = CompiledOperationSpecification.apply_operation_contexts(
run_config)
expected_run = {
"kind": V1RunKind.JOB,
"container": {
"image": "continuumio/miniconda3",
"command": ["python"],
"args": ["-c \"print('Tweet tweet')\""],
"name": "polyaxon-main",
},
}
assert run_config.run.to_dict() == expected_run
run_config = V1CompiledOperation.read(run_config.to_dict())
run_config = CompiledOperationSpecification.apply_operation_contexts(
run_config)
assert run_config.run.to_dict() == expected_run
def test_passing_params_overrides_polyaxonfiles(self):
run_config = CompiledOperationSpecification.read([
os.path.abspath("tests/fixtures/typing/required_inputs.yml"),
{
"kind": "compiled_operation"
},
])
with self.assertRaises(ValidationError):
CompiledOperationSpecification.apply_context(run_config)
assert run_config.inputs[0].value is None
assert run_config.inputs[1].value is None
run_config.apply_params(params={
"flag": {
"value": True
},
"loss": {
"value": "some-loss"
}
})
assert run_config.inputs[0].value == "some-loss"
assert run_config.inputs[1].value is True
run_config = CompiledOperationSpecification.apply_context(run_config)
run_config = CompiledOperationSpecification.apply_run_contexts(
run_config)
assert run_config.version == 1.05
assert run_config.tags == ["foo", "bar"]
assert run_config.run.container.image == "my_image"
assert run_config.run.container.command == ["/bin/sh", "-c"]
assert (run_config.run.container.args ==
"video_prediction_train --loss=some-loss --flag")
def test_mpi_passes(self):
run_config = CompiledOperationSpecification.read(
[
os.path.abspath("tests/fixtures/plain/distributed_mpi_file.yml"),
{"kind": "compiled_operation"},
]
)
run_config = CompiledOperationSpecification.apply_operation_contexts(run_config)
assert run_config.version == 1.1
assert run_config.is_mpi_job_run
assert run_config.termination is None
assert run_config.run.launcher.replicas == 1
assert run_config.run.launcher.to_dict() == {
"replicas": 1,
"container": {
"name": "polyaxon-main",
"image": "mpioperator/tensorflow-benchmarks:latest",
"command": ["mpirun", "python", "run.py"],
},
}
assert run_config.run.launcher.environment is None
assert run_config.run.worker.replicas == 2
assert run_config.run.worker.environment.affinity is None
assert run_config.run.worker.environment.node_selector is not None
assert isinstance(run_config.run.worker.environment.tolerations, list)
assert run_config.run.worker.to_dict()["container"] == {
"name": "polyaxon-main",
"image": "mpioperator/tensorflow-benchmarks:latest",
"command": ["mpirun", "python", "run.py"],
"resources": {"limits": {"nvidia.com/gpu": 1}},
}
def test_job_file_with_init_passes(self):
run_config = CompiledOperationSpecification.read([
os.path.abspath("tests/fixtures/plain/job_file_with_init.yml"),
{
"kind": "compiled_operation"
},
])
run_config = CompiledOperationSpecification.apply_context(run_config)
assert run_config.version == 1.05
assert isinstance(run_config.plugins, V1Plugins)
assert run_config.plugins.log_level == "INFO"
assert run_config.plugins.auth is True
assert run_config.plugins.shm is True
assert run_config.plugins.docker is True
assert run_config.plugins.collect_artifacts is True
assert run_config.plugins.collect_logs is None
assert isinstance(run_config.run.environment, V1Environment)
assert run_config.run.environment.labels == {"key": "value"}
assert isinstance(run_config.run.init, list)
assert len(run_config.run.connections) == 2
assert run_config.run.connections == ["data1", "data2"]
assert len(run_config.run.volumes) == 2
assert run_config.run.volumes[0].name == "my_ssh_secret"
assert run_config.run.volumes[0].secret == {"secretName": "mysecret"}
assert run_config.run.volumes[1].name == "config_map"
assert run_config.run.volumes[1].config_map == {
"configName": "config_map2"
}
def test_pytorch_passes(self):
run_config = CompiledOperationSpecification.read(
[
os.path.abspath("tests/fixtures/plain/distributed_pytorch_file.yml"),
{"kind": "compiled_operation"},
]
)
run_config = CompiledOperationSpecification.apply_operation_contexts(run_config)
assert run_config.version == 1.1
assert run_config.termination is not None
assert run_config.termination.ttl == 12
assert run_config.is_pytorch_job_run
assert run_config.run.master.replicas == 5
assert run_config.run.master.environment.to_dict() == {
"restartPolicy": "OnFailure",
"nodeName": "foo",
"serviceAccountName": "sa1",
}
assert run_config.run.master.container.image == "my_image"
assert run_config.run.master.container.resources == {
"requests": {"memory": "300Mi"},
"limits": {"memory": "300Mi"},
}
assert run_config.run.worker.replicas == 10
assert run_config.run.worker.environment.affinity is None
assert run_config.run.worker.environment.restart_policy == "OnFailure"
assert isinstance(run_config.run.worker.environment.tolerations, list)
assert run_config.run.worker.container.resources == {
"requests": {"cpu": 3, "memory": "256Mi"},
"limits": {"cpu": 3, "memory": "256Mi"},
}
def test_pipeline_with_no_ops_raises(self):
run_config = V1CompiledOperation.read(
[
os.path.abspath("tests/fixtures/pipelines/pipeline_with_no_ops.yml"),
{"kind": "compiled_operation"},
]
)
with self.assertRaises(PolyaxonSchemaError):
CompiledOperationSpecification.apply_context(run_config)
def test_apply_params_extends_connections_and_init(self):
content = {
"version":
1.1,
"kind":
"compiled_operation",
"inputs": [
{
"name": "docker_image",
"type": types.IMAGE
},
{
"name": "git_repo",
"type": types.GIT
},
],
"run": {
"kind": V1RunKind.JOB,
"connections": ["{{ params.docker_image.connection }}"],
"container": {
"name": "polyaxon-main",
"image": "{{ docker_image }}",
"command": "train",
},
},
}
run_config = V1CompiledOperation.read(content)
# no params
with self.assertRaises(ValidationError):
CompiledOperationSpecification.apply_operation_contexts(run_config)
params = {
"docker_image": {
"value": "destination:tag",
"connection": "docker-registry",
},
"git_repo": {
"value": V1GitType(revision="foo"),
"connection": "repo-connection",
},
}
assert run_config.inputs[0].value is None
assert run_config.inputs[1].value is None
validated_params = run_config.validate_params(params=params)
run_config.apply_params(params=params)
assert params == {p.name: p.param.to_dict() for p in validated_params}
assert run_config.inputs[0].connection == "docker-registry"
assert run_config.inputs[1].connection == "repo-connection"
run_config = CompiledOperationSpecification.apply_operation_contexts(
run_config)
run_config = CompiledOperationSpecification.apply_params(run_config)
run_config = CompiledOperationSpecification.apply_runtime_contexts(
run_config)
assert run_config.run.connections == ["docker-registry"]
assert run_config.run.container.image == "destination:tag"
def test_cyclic_pipeline_raises(self):
run_config = V1CompiledOperation.read(
[
os.path.abspath("tests/fixtures/pipelines/cyclic_pipeline.yml"),
{"kind": "compiled_operation"},
]
)
assert run_config.is_dag_run is True
assert run_config.has_pipeline is True
with self.assertRaises(PolyaxonSchemaError):
CompiledOperationSpecification.apply_context(run_config)
def test_pipeline_ops_not_corresponding_to_components(self):
run_config = V1CompiledOperation.read(
[
reader.read(
os.path.abspath(
"tests/fixtures/pipelines/pipeline_ops_not_corresponding_to_components.yml"
)
),
{"kind": "compiled_operation"},
]
)
with self.assertRaises(PolyaxonSchemaError):
CompiledOperationSpecification.apply_context(run_config)
def get_op_specification(
config: Union[V1Component, V1Operation] = None,
hub: str = None,
params: Dict = None,
profile: str = None,
queue: str = None,
nocache: bool = None,
path_context: str = None,
validate_params: bool = True,
) -> V1Operation:
job_data = {
"version": config.version if config else pkg.SCHEMA_VERSION,
"kind": kinds.OPERATION,
}
if params:
if not isinstance(params, Mapping):
raise PolyaxonfileError(
"Params: `{}` must be a valid mapping".format(params)
)
job_data["params"] = params
if profile:
job_data["profile"] = profile
if queue:
# Check only
get_queue_info(queue)
job_data["queue"] = queue
if nocache is not None:
job_data["cache"] = {"disable": nocache}
if config and config.kind == kinds.COMPONENT:
job_data["component"] = config.to_dict()
config = get_specification(data=[job_data])
elif config and config.kind == kinds.OPERATION:
config = get_specification(data=[config.to_dict(), job_data])
elif hub:
job_data["hubRef"] = hub
config = get_specification(data=[job_data])
if hub and config.hub_ref is None:
config.hub_ref = hub
hub = config.hub_ref
public_hub = config.has_public_hub_reference
params = copy.deepcopy(config.params)
# Sanity check if params were passed and we are not dealing with a hub component
if validate_params and not (hub and not public_hub):
run_config = OperationSpecification.compile_operation(config)
run_config.validate_params(params=params, is_template=False)
if run_config.is_dag_run:
run_config.run.set_path_context(path_context)
CompiledOperationSpecification.apply_operation_contexts(run_config)
return config
def test_apply_context_raises_with_required_inputs(self):
content = {
"version": 1.1,
"kind": "component",
"inputs": [
{"name": "lr", "type": types.FLOAT},
{"name": "num_steps", "type": types.INT},
],
"run": {
"kind": V1RunKind.JOB,
"container": {
"name": "polyaxon-main",
"image": "test/test:latest",
"command": "train",
},
},
}
component_config = V1Component.read(content)
assert component_config.to_dict() == content
content = {
"version": 1.1,
"kind": "compiled_operation",
"inputs": [
{"name": "lr", "type": types.FLOAT},
{"name": "num_steps", "type": types.INT},
],
"run": {
"kind": V1RunKind.JOB,
"container": {
"name": "polyaxon-main",
"image": "test/test:latest",
"command": "train",
},
},
}
run_config = V1CompiledOperation.read(content)
# Raise because required inputs are not met
with self.assertRaises(ValidationError):
CompiledOperationSpecification.apply_operation_contexts(run_config)
# Validation for template should pass
validated_params = run_config.validate_params()
assert {"lr": None, "num_steps": None} == {
p.name: p.param.value for p in validated_params
}
# Validation for non template should raise
with self.assertRaises(ValidationError):
run_config.validate_params(is_template=False)
def test_job_file_with_termination_passes(self):
run_config = CompiledOperationSpecification.read(
[
os.path.abspath("tests/fixtures/plain/job_file_with_termination.yml"),
{"kind": "compiled_operation"},
]
)
run_config = CompiledOperationSpecification.apply_operation_contexts(run_config)
assert run_config.version == 1.1
assert isinstance(run_config.termination, V1Termination)
assert run_config.termination.max_retries == 5
assert run_config.termination.timeout == 500
assert run_config.termination.ttl == 400
assert run_config.run.environment.restart_policy == "Never"
def test_matrix_file_passes_int_float_types(self):
run_config = V1CompiledOperation.read(
[
os.path.abspath(
"tests/fixtures/pipelines/matrix_file_with_int_float_types.yml"
),
{"kind": "compiled_operation"},
]
)
run_config = CompiledOperationSpecification.apply_context(run_config)
assert run_config.version == 1.05
assert run_config.is_dag_run is True
assert run_config.has_pipeline is True
assert run_config.schedule is None
assert run_config.run.concurrency == 4
assert isinstance(run_config.run, V1Dag)
assert run_config.run.early_stopping is None
assert run_config.run.kind == V1Dag.IDENTIFIER
assert len(run_config.run.operations) == 2
assert len(run_config.run.components) == 1
template_grid = run_config.run.operations[1].parallel
assert isinstance(template_grid, V1GridSearch)
assert isinstance(template_grid.params["param1"], V1HpChoice)
assert isinstance(template_grid.params["param2"], V1HpChoice)
assert template_grid.params["param1"].to_dict() == {
"kind": "choice",
"value": [1, 2],
}
assert template_grid.params["param2"].to_dict() == {
"kind": "choice",
"value": [3.3, 4.4],
}
assert template_grid.concurrency == 2
assert template_grid.early_stopping is None
def test_mapping_early_stopping_file_passes(self):
plx_file = check_polyaxonfile(
polyaxonfile=os.path.abspath(
"tests/fixtures/plain/mapping_job_file_early_stopping.yml"),
is_cli=False,
to_op=False,
)
# Get compiled_operation data
config_run = OperationSpecification.compile_operation(plx_file)
config_run = CompiledOperationSpecification.apply_context(config_run)
assert config_run.version == 1.05
assert isinstance(config_run.parallel, V1Mapping)
assert config_run.parallel.values == [
{
"lr": 0.001,
"loss": "MeanSquaredError"
},
{
"lr": 0.1,
"loss": "AbsoluteDifference"
},
]
assert config_run.parallel.concurrency == 2
assert isinstance(config_run.parallel, V1Mapping)
assert config_run.parallel.kind == V1Mapping.IDENTIFIER
assert len(config_run.parallel.early_stopping) == 1
assert isinstance(config_run.parallel.early_stopping[0],
V1MetricEarlyStopping)
def test_matrix_file_passes_int_float_types(self):
plx_file = check_polyaxonfile(
polyaxonfile=os.path.abspath(
"tests/fixtures/plain/matrix_job_file_with_int_float_types.yml"
),
is_cli=False,
)
# Get compiled_operation data
run_config = OperationSpecification.compile_operation(plx_file)
run_config = CompiledOperationSpecification.apply_context(run_config)
assert run_config.version == 1.05
assert isinstance(run_config.parallel, V1GridSearch)
assert isinstance(run_config.parallel.params["param1"], V1HpChoice)
assert isinstance(run_config.parallel.params["param2"], V1HpChoice)
assert run_config.parallel.params["param1"].to_dict() == {
"kind": "choice",
"value": [1, 2],
}
assert run_config.parallel.params["param2"].to_dict() == {
"kind": "choice",
"value": [3.3, 4.4],
}
assert run_config.parallel.concurrency == 2
assert isinstance(run_config.parallel, V1GridSearch)
assert run_config.parallel.kind == V1GridSearch.IDENTIFIER
assert run_config.parallel.early_stopping is None
def test_matrix_early_stopping_file_passes(self):
plx_file = check_polyaxonfile(
polyaxonfile=os.path.abspath(
"tests/fixtures/plain/matrix_job_file_early_stopping.yml"),
is_cli=False,
to_op=False,
)
# Get compiled_operation data
run_config = OperationSpecification.compile_operation(plx_file)
run_config = CompiledOperationSpecification.apply_context(run_config)
assert run_config.version == 1.05
assert isinstance(run_config.parallel, V1RandomSearch)
assert isinstance(run_config.parallel.params["lr"], V1HpLinSpace)
assert isinstance(run_config.parallel.params["loss"], V1HpChoice)
assert run_config.parallel.params["lr"].to_dict() == {
"kind": "linspace",
"value": {
"start": 0.01,
"stop": 0.1,
"num": 5
},
}
assert run_config.parallel.params["loss"].to_dict() == {
"kind": "choice",
"value": ["MeanSquaredError", "AbsoluteDifference"],
}
assert run_config.parallel.concurrency == 2
assert run_config.parallel.num_runs == 300
assert isinstance(run_config.parallel, V1RandomSearch)
assert run_config.parallel.kind == V1RandomSearch.IDENTIFIER
assert len(run_config.parallel.early_stopping) == 1
assert isinstance(run_config.parallel.early_stopping[0],
V1MetricEarlyStopping)
def test_matrix_file_with_required_inputs_passes(self):
plx_file = check_polyaxonfile(
polyaxonfile=os.path.abspath(
"tests/fixtures/typing/matrix_job_required_inputs_file.yml"),
is_cli=False,
)
run_config = OperationSpecification.compile_operation(plx_file)
run_config = CompiledOperationSpecification.apply_context(run_config)
assert run_config.version == 1.1
assert isinstance(run_config.matrix, V1Hyperband)
assert isinstance(run_config.matrix.params["lr"], V1HpLinSpace)
assert isinstance(run_config.matrix.params["loss"], V1HpChoice)
assert run_config.matrix.params["lr"].to_dict() == {
"kind": "linspace",
"value": {
"start": 0.01,
"stop": 0.1,
"num": 5
},
}
assert run_config.matrix.params["loss"].to_dict() == {
"kind": "choice",
"value": ["MeanSquaredError", "AbsoluteDifference"],
}
assert run_config.matrix.concurrency == 2
assert isinstance(run_config.matrix, V1Hyperband)
assert run_config.matrix.kind == V1Hyperband.IDENTIFIER
assert run_config.matrix.early_stopping is None
def test_dag_pipeline(self):
run_config = V1CompiledOperation.read(
[
os.path.abspath("tests/fixtures/pipelines/simple_dag_pipeline.yml"),
{"kind": "compiled_operation"},
]
)
run_config = CompiledOperationSpecification.apply_context(run_config)
assert len(run_config.run.operations) == 5
assert run_config.run.operations[0].name == "job1"
assert run_config.run.operations[1].name == "experiment1"
assert run_config.run.operations[1].dependencies == ["job1"]
assert run_config.run.operations[2].name == "experiment2"
assert run_config.run.operations[2].dependencies == ["job1"]
assert run_config.run.operations[3].name == "experiment3"
assert run_config.run.operations[3].dependencies == ["job1"]
assert run_config.run.operations[4].name == "job2"
assert run_config.run.operations[4].dependencies == [
"experiment1",
"experiment2",
"experiment3",
]
dag_strategy = run_config.run
sorted_dag = dag_strategy.sort_topologically(dag_strategy.dag)
assert sorted_dag[0] == ["job1"]
assert set(sorted_dag[1]) == {"experiment1", "experiment2", "experiment3"}
assert sorted_dag[2] == ["job2"]
assert run_config.run.concurrency == 3
assert run_config.schedule is None
def test_parallel_pipeline(self):
run_config = V1CompiledOperation.read(
[
os.path.abspath(
"tests/fixtures/pipelines/simple_parallel_pipeline.yml"
),
{"kind": "compiled_operation"},
]
)
run_config = CompiledOperationSpecification.apply_context(run_config)
assert len(run_config.run.operations) == 4
assert run_config.run.operations[0].name == "job1"
assert run_config.run.operations[0].dependencies is None
assert run_config.run.operations[1].name == "job2"
assert run_config.run.operations[1].dependencies is None
assert run_config.run.operations[2].name == "experiment1"
assert run_config.run.operations[2].dependencies is None
assert run_config.run.operations[3].name == "experiment2"
assert run_config.run.operations[3].dependencies is None
dag_strategy = run_config.run
assert set(dag_strategy.sort_topologically(dag_strategy.dag)[0]) == {
"job1",
"job2",
"experiment1",
"experiment2",
}
assert run_config.run.concurrency == 2
assert run_config.schedule is None
def test_sequential_pipeline(self):
run_config = V1CompiledOperation.read(
[
os.path.abspath(
"tests/fixtures/pipelines/simple_sequential_pipeline.yml"
),
{"kind": "compiled_operation"},
]
)
run_config = CompiledOperationSpecification.apply_context(run_config)
assert run_config.run is not None
assert len(run_config.run.operations) == 4
assert run_config.run.operations[0].name == "job1"
assert run_config.run.operations[1].name == "job2"
assert run_config.run.operations[1].dependencies == ["job1"]
assert run_config.run.operations[2].name == "experiment1"
assert run_config.run.operations[2].dependencies == ["job2"]
assert run_config.run.operations[3].name == "experiment2"
assert run_config.run.operations[3].dependencies == ["experiment1"]
dag_strategy = run_config.run
assert dag_strategy.sort_topologically(dag_strategy.dag) == [
["job1"],
["job2"],
["experiment1"],
["experiment2"],
]
assert run_config.schedule is None
def test_matrix_file_passes(self):
run_config = V1CompiledOperation.read([
os.path.abspath("tests/fixtures/pipelines/matrix_file.yml"),
{
"kind": "compiled_operation"
},
])
run_config = CompiledOperationSpecification.apply_operation_contexts(
run_config)
assert run_config.version == 1.1
assert run_config.is_dag_run is True
assert run_config.has_pipeline is True
assert run_config.schedule is None
assert run_config.run.concurrency == 4
assert isinstance(run_config.run, V1Dag)
assert run_config.run.early_stopping is None
assert run_config.run.kind == V1Dag.IDENTIFIER
assert len(run_config.run.operations) == 2
assert len(run_config.run.components) == 1
template_hyperband = run_config.run.operations[1].matrix
assert isinstance(template_hyperband.params["lr"], V1HpLinSpace)
assert isinstance(template_hyperband.params["loss"], V1HpChoice)
assert template_hyperband.params["lr"].to_dict() == {
"kind": "linspace",
"value": {
"start": 0.01,
"stop": 0.1,
"num": 5
},
}
assert template_hyperband.params["loss"].to_dict() == {
"kind": "choice",
"value": ["MeanSquaredError", "AbsoluteDifference"],
}
assert template_hyperband.params["normal_rate"].to_dict() == {
"kind": "normal",
"value": {
"loc": 0,
"scale": 0.9
},
}
assert template_hyperband.params["dropout"].to_dict() == {
"kind": "qloguniform",
"value": {
"high": 0.8,
"low": 0,
"q": 0.1
},
}
assert template_hyperband.params["activation"].to_dict() == {
"kind": "pchoice",
"value": [["relu", 0.1], ["sigmoid", 0.8]],
}
assert template_hyperband.params["model"].to_dict() == {
"kind": "choice",
"value": ["CDNA", "DNA", "STP"],
}
assert template_hyperband.concurrency == 2
assert isinstance(template_hyperband, V1Hyperband)
def generate(polyaxonfile, python_module, build_context, destination,
copy_path, params, track):
"""Generate a dockerfile given the polyaxonfile."""
from polyaxon.init.dockerfile import create_dockerfile_lineage
from polyaxon.utils.hashing import hash_value
if all([polyaxonfile, build_context]):
Printer.print_error(
"Only a polyaxonfile or a build context option is required.")
sys.exit(1)
if build_context:
try:
build_context = [
V1DockerfileType.from_dict(ConfigSpec.read_from(build_context))
]
except (PolyaxonSchemaError, ValidationError) as e:
Printer.print_error("received a non valid build context.")
Printer.print_error("Error message: {}.".format(e))
sys.exit(1)
else:
specification = check_polyaxonfile(
polyaxonfile=polyaxonfile,
python_module=python_module,
params=params,
log=False,
)
try:
compiled_operation = specification.compile_operation()
compiled_operation.apply_params(params=specification.config.params)
compiled_operation = CompiledOperationSpecification.apply_operation_contexts(
compiled_operation)
except PolyaxonSchemaError:
Printer.print_error(
"Could not run this polyaxonfile locally, "
"a context is required to resolve it dependencies.")
sys.exit(1)
build_context = compiled_operation.init_dockerfiles
for init_dockerfile in build_context:
generator = DockerFileGenerator(build_context=init_dockerfile,
destination=destination or ".")
generator.create()
Printer.print_success("Dockerfile was generated, path: `{}`".format(
generator.dockerfile_path))
dockerfile_path = generator.dockerfile_path
if copy_path:
dockerfile_path = copy_file(dockerfile_path, copy_path)
if track:
hash_content = hash_value(init_dockerfile.to_dict())
create_dockerfile_lineage(dockerfile_path,
summary={"hash": hash_content})
def test_no_params_for_required_inputs_outputs_raises(self):
# Get compiled_operation data
run_config = V1CompiledOperation.read([
os.path.abspath("tests/fixtures/typing/required_inputs.yml"),
{
"kind": "compiled_operation"
},
])
# Inputs don't have delayed validation by default
with self.assertRaises(ValidationError):
CompiledOperationSpecification.apply_context(run_config)
run_config = V1CompiledOperation.read([
os.path.abspath("tests/fixtures/typing/required_outputs.yml"),
{
"kind": "compiled_operation"
},
])
# Outputs have delayed validation by default
CompiledOperationSpecification.apply_context(run_config)
def get_op_specification(
config: Union[V1Component, V1Operation] = None,
hub=None,
params=None,
profile=None,
queue=None,
nocache=None,
) -> V1Operation:
job_data = {
"version": config.version if config else pkg.SCHEMA_VERSION,
"kind": kinds.OPERATION
}
if params:
if not isinstance(params, Mapping):
raise PolyaxonfileError(
"Params: `{}` must be a valid mapping".format(params))
job_data["params"] = params
if profile:
job_data["profile"] = profile
if queue:
job_data["queue"] = queue
if nocache is not None:
job_data["cache"] = {"disable": nocache}
if hub:
job_data["hubRef"] = hub
config = get_specification(data=[job_data])
elif config.kind == kinds.OPERATION:
config = get_specification(data=[config.to_dict(), job_data])
else:
job_data["component"] = config.to_dict()
config = get_specification(data=[job_data])
params = copy.deepcopy(config.params)
# Sanity check if params were passed and we are not dealing with a hub component
if not hub:
run_config = OperationSpecification.compile_operation(config)
run_config.validate_params(params=params, is_template=False)
if run_config.is_dag_run:
CompiledOperationSpecification.apply_context(run_config)
return config
def test_matrix_file_passes(self):
plx_file = check_polyaxonfile(
polyaxonfile=os.path.abspath(
"tests/fixtures/plain/matrix_job_file.yml"),
is_cli=False,
)
run_config = OperationSpecification.compile_operation(plx_file)
run_config = CompiledOperationSpecification.apply_operation_contexts(
run_config)
assert run_config.version == 1.1
assert isinstance(run_config.matrix, V1Hyperband)
assert isinstance(run_config.matrix.params["lr"], V1HpLinSpace)
assert isinstance(run_config.matrix.params["loss"], V1HpChoice)
assert run_config.matrix.params["lr"].to_dict() == {
"kind": "linspace",
"value": {
"start": 0.01,
"stop": 0.1,
"num": 5
},
}
assert run_config.matrix.params["loss"].to_dict() == {
"kind": "choice",
"value": ["MeanSquaredError", "AbsoluteDifference"],
}
assert run_config.matrix.params["normal_rate"].to_dict() == {
"kind": "normal",
"value": {
"loc": 0,
"scale": 0.9
},
}
assert run_config.matrix.params["dropout"].to_dict() == {
"kind": "qloguniform",
"value": {
"high": 0.8,
"low": 0,
"q": 0.1
},
}
assert run_config.matrix.params["activation"].to_dict() == {
"kind": "pchoice",
"value": [["relu", 0.1], ["sigmoid", 0.8]],
}
assert run_config.matrix.params["model"].to_dict() == {
"kind": "choice",
"value": ["CDNA", "DNA", "STP"],
}
assert run_config.matrix.concurrency == 2
assert isinstance(run_config.matrix, V1Hyperband)
assert run_config.matrix.kind == V1Hyperband.IDENTIFIER
assert run_config.matrix.early_stopping is None
def test_cron_pipeline(self):
plx_file = PolyaxonFile(
os.path.abspath("tests/fixtures/pipelines/simple_cron_pipeline.yml")
)
# Get compiled_operation data
run_config = OperationSpecification.compile_operation(plx_file.config)
run_config = CompiledOperationSpecification.apply_context(run_config)
assert run_config.run is not None
assert len(run_config.run.operations) == 1
assert run_config.run.operations[0].name == "cron-task"
assert run_config.schedule is not None
assert run_config.schedule.kind == "cron"
assert run_config.schedule.cron == "0 0 * * *"
