def test_add_function_name_override():
"""@TODO: Docs. Contribution is welcome."""
r = Registry("")
r.add(foo, name="bar")
assert "bar" in r._factories # noqa: WPS437
def test_add_lambda_override():
"""@TODO: Docs. Contribution is welcome."""
r = Registry("")
r.add(lambda x: x, name="bar")
assert "bar" in r._factories # noqa: WPS437
def test_add_function():
"""@TODO: Docs. Contribution is welcome."""
r = Registry("")
r.add(foo)
assert "foo" in r._factories # noqa: WPS437
def test_decorator():
"""@TODO: Docs. Contribution is welcome."""
r = Registry("")
@r.add
def bar():
pass
r.get("bar")
def _samplers_loader(r: Registry):
from torch.utils.data import sampler as s
factories = {
k: v
for k, v in s.__dict__.items() if "Sampler" in k and k != "Sampler"
}
r.add(**factories)
from catalyst.data import sampler
r.add_from_module(sampler)
def _model_loader(r: Registry):
from catalyst.contrib import models as m
r.add_from_module(m)
try:
import segmentation_models_pytorch as smp
r.add_from_module(smp, prefix="smp.")
except ImportError as ex:
if SETTINGS.segmentation_models_required:
logger.warning("segmentation_models_pytorch not available,"
" to install segmentation_models_pytorch,"
" run `pip install segmentation-models-pytorch`.")
raise ex
def _transforms_loader(r: Registry):
from torch.jit.frontend import UnsupportedNodeError
from catalyst.data.cv.transforms import torch as t
r.add_from_module(t, prefix=["catalyst.", "C."])
try:
import albumentations as m
r.add_from_module(m, prefix=["A.", "albu.", "albumentations."])
from albumentations import pytorch as p
r.add_from_module(p, prefix=["A.", "albu.", "albumentations."])
from catalyst.data.cv.transforms import albumentations as t
r.add_from_module(t, prefix=["catalyst.", "C."])
except ImportError as ex:
if SETTINGS.albumentations_required:
logger.warning(
"albumentations not available, to install albumentations, "
"run `pip install albumentations`."
)
raise ex
try:
from kornia import augmentation as k
r.add_from_module(k, prefix=["kornia."])
except ImportError as ex:
if SETTINGS.kornia_required:
logger.warning(
"kornia not available, to install kornia, "
"run `pip install kornia`."
)
raise ex
except UnsupportedNodeError as ex:
logger.warning(
"kornia has requirement torch>=1.5.0, probably you have"
" an old version of torch which is incompatible.\n"
"To update pytorch, run `pip install -U 'torch>=1.5.0'`."
)
if SETTINGS.kornia_required:
raise ex
def test_add_module():
"""@TODO: Docs. Contribution is welcome."""
r = Registry("")
r.add_from_module(module)
r.get("foo")
with pytest.raises(RegistryException):
r.get_instance("bar")
def _experiments_loader(r: Registry):
from catalyst.core import IExperiment, IStageBasedRunner
r.add(IExperiment)
r.add(IStageBasedRunner)
from catalyst.dl import experiment as m # noqa: WPS347
r.add_from_module(m)
from catalyst.contrib.dl import experiment as m # noqa: WPS347
r.add_from_module(m)
def _runners_loader(r: Registry):
from catalyst.core import IRunner, IStageBasedRunner
r.add(IRunner)
r.add(IStageBasedRunner)
from catalyst.dl import runner as m # noqa: WPS347
r.add_from_module(m)
from catalyst.contrib.dl import runner as m # noqa: WPS347
r.add_from_module(m)
def test_kwargs():
"""@TODO: Docs. Contribution is welcome."""
r = Registry("")
r.add(bar=foo)
r.get("bar")
def test_double_add_same_nofail():
"""@TODO: Docs. Contribution is welcome."""
r = Registry("")
r.add(foo)
# It's ok to add same twice, forced by python relative import
# implementation
# https://github.com/catalyst-team/catalyst/issues/135
r.add(foo)
def _callbacks_loader(r: Registry):
from catalyst.core.callback import Callback, CallbackWrapper
r.add(Callback)
r.add(CallbackWrapper)
from catalyst import callbacks as m # noqa: WPS347
r.add_from_module(m)
def test_fail_instantiation():
"""@TODO: Docs. Contribution is welcome."""
r = Registry("")
r.add(foo)
with pytest.raises(RegistryException) as e_ifo:
r.get_instance("foo", c=1)
assert hasattr(e_ifo.value, "__cause__")
def _experiments_loader(r: Registry):
from catalyst.core.experiment import IExperiment
r.add(IExperiment)
from catalyst import experiments as m
r.add_from_module(m) # noqa: WPS347
r.add_from_module(m)
def test_instantiations():
"""@TODO: Docs. Contribution is welcome."""
r = Registry("")
r.add(foo)
res = r.get_instance("foo", 1, 2)
assert res == {"a": 1, "b": 2}
res = r.get_instance("foo", 1, b=2)
assert res == {"a": 1, "b": 2}
res = r.get_instance("foo", a=1, b=2)
assert res == {"a": 1, "b": 2}
def test_from_config():
"""@TODO: Docs. Contribution is welcome."""
r = Registry("obj")
r.add(foo)
res = r.get_from_params(**{"obj": "foo", "a": 1, "b": 2})
assert res == {"a": 1, "b": 2}
res = r.get_from_params(**{})
assert res is None
def test_fail_double_add_different():
"""@TODO: Docs. Contribution is welcome."""
r = Registry("")
r.add(foo)
with pytest.raises(RegistryException):
def bar():
pass
r.add(foo=bar)
def _callbacks_loader(r: Registry):
from catalyst.core import callbacks as m
r.add_from_module(m)
from catalyst.dl import callbacks as m # noqa: WPS347
r.add_from_module(m)
from catalyst.contrib.dl import callbacks as m # noqa: WPS347
r.add_from_module(m)
def test_meta_factory():
"""@TODO: Docs. Contribution is welcome.""" # noqa: D202
def meta_factory1(fn, args, kwargs):
return fn
def meta_factory2(fn, args, kwargs):
return 1
r = Registry("obj", meta_factory1)
r.add(foo)
res = r.get_from_params(**{"obj": "foo"})
assert res == foo
res = r.get_from_params(**{"obj": "foo"}, meta_factory=meta_factory2)
assert res == 1
r.add_from_module(t, prefix=["catalyst.", "C."])
except ImportError as ex:
if SETTINGS.kornia_required:
logger.warning("kornia not available, to install kornia, "
"run `pip install kornia`.")
raise ex
except UnsupportedNodeError as ex:
logger.warning(
"kornia has requirement torch>=1.5.0, probably you have"
" an old version of torch which is incompatible.\n"
"To update pytorch, run `pip install -U 'torch>=1.5.0'`.")
if SETTINGS.kornia_required:
raise ex
TRANSFORM = Registry("transform")
TRANSFORM.late_add(_transforms_loader)
Transform = TRANSFORM.add
def _samplers_loader(r: Registry):
from torch.utils.data import sampler as s
factories = {
k: v
for k, v in s.__dict__.items() if "Sampler" in k and k != "Sampler"
}
r.add(**factories)
from catalyst.data import sampler
r.add_from_module(sampler)
def test_fail_multiple_with_name():
"""@TODO: Docs. Contribution is welcome."""
r = Registry("")
with pytest.raises(RegistryException):
r.add(foo, foo, name="bar")
def _schedulers_loader(r: Registry):
from catalyst.contrib.nn import schedulers as m
r.add_from_module(m)
def _optimizers_loader(r: Registry):
from catalyst.contrib.nn import optimizers as m
r.add_from_module(m)
def _criterion_loader(r: Registry):
from catalyst.contrib.nn import criterion as m
r.add_from_module(m)
def _modules_loader(r: Registry):
from catalyst.contrib.nn import modules as m
r.add_from_module(m)
def _grad_clip_loader(r: Registry):
from torch.nn.utils import clip_grad as m
r.add_from_module(m)
def test_add_lambda_fail():
"""@TODO: Docs. Contribution is welcome."""
r = Registry("")
with pytest.raises(RegistryException):
r.add(lambda x: x)
