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FIx the incorrect expected exception type (#5396)

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Tomasz Dołbniak 2021-04-28 21:15:35 +02:00 committed by GitHub
parent 3a8eaaaef1
commit 31b161097d
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2 changed files with 4 additions and 6 deletions
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2
ngraph/python/tests/__init__.py
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@ -56,8 +56,6 @@ xfail_issue_35912 = xfail_test(reason="RuntimeError: Error of validate layer: B
xfail_issue_35923 = xfail_test(reason="RuntimeError: PReLU without weights is not supported")
xfail_issue_35925 = xfail_test(reason="Assertion error - reduction ops results mismatch")
xfail_issue_35927 = xfail_test(reason="RuntimeError: B has zero dimension that is not allowable")
xfail_issue_35930 = xfail_test(reason="onnx.onnx_cpp2py_export.checker.ValidationError: "
"Required attribute 'to' is missing.")
xfail_issue_36480 = xfail_test(reason="RuntimeError: [NOT_FOUND] Unsupported property dummy_option "
"by CPU plugin")
xfail_issue_36485 = xfail_test(reason="RuntimeError: Check 'm_group >= 1' failed at "

8
ngraph/python/tests/test_onnx/test_ops_unary.py
View File

@ -10,7 +10,6 @@ from onnx.helper import make_graph, make_model, make_node, make_tensor_value_inf
from ngraph.exceptions import NgraphTypeError
from tests.runtime import get_runtime
from tests.test_onnx.utils import get_node_model, import_onnx_model, run_model, run_node
from tests import xfail_issue_35930
@pytest.mark.parametrize(
@ -378,8 +377,9 @@ def test_cast_to_uint(val_type):
assert np.allclose(result, expected)
@xfail_issue_35930
def test_cast_errors():
from onnx.onnx_cpp2py_export.checker import ValidationError
np.random.seed(133391)
input_data = np.ceil(np.random.rand(2, 3, 4) * 16)
@ -396,7 +396,7 @@ def test_cast_errors():
graph = make_graph([node], "compute_graph", input_tensors, output_tensors)
model = make_model(graph, producer_name="NgraphBackend")
with pytest.raises(RuntimeError):
with pytest.raises(ValidationError):
import_onnx_model(model)
# unsupported data type representation
@ -412,7 +412,7 @@ def test_cast_errors():
graph = make_graph([node], "compute_graph", input_tensors, output_tensors)
model = make_model(graph, producer_name="NgraphBackend")
with pytest.raises(RuntimeError):
with pytest.raises(ValidationError):
import_onnx_model(model)
# unsupported input tensor data type: