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from hypothesis import given, settings
import numpy as np
from caffe2.python import core, workspace
import caffe2.python.hypothesis_test_util as hu
class TestEnforceFinite(hu.HypothesisTestCase):
@given(
X=hu.tensor(
# allow empty
min_value=0,
elements=hu.floats(allow_nan=True, allow_infinity=True),
),
**hu.gcs
)
@settings(deadline=10000)
def test_enforce_finite(self, X, gc, dc):
def all_finite_value(X):
if X.size <= 0:
return True
return np.isfinite(X).all()
net = core.Net('test_net')
net.Const(array=X, blob_out="X")
net.EnforceFinite("X", [])
if all_finite_value(X):
self.assertTrue(workspace.RunNetOnce(net))
else:
with self.assertRaises(RuntimeError):
workspace.RunNetOnce(net)
@given(
X=hu.tensor(
elements=hu.floats(min_value=0, max_value=10, allow_nan=False, allow_infinity=False),
),
**hu.gcs
)
def test_enforce_finite_device_check(self, X, gc, dc):
op = core.CreateOperator(
"EnforceFinite",
["X"],
[],
)
self.assertDeviceChecks(dc, op, [X], [])
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