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openvino/ngraph/python/tests/__init__.py
Mateusz Tabaka 56a7a67dd2 Remove xfail_issue_36533 from ngraph tests (#2436)
2020-09-28 18:55:50 +03:00

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# ******************************************************************************
# Copyright 2017-2020 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ******************************************************************************
import pytest
# test.BACKEND_NAME is a configuration variable determining which
# nGraph backend tests will use. It's set during pytest configuration time.
# See `pytest_configure` hook in `conftest.py` for more details.
BACKEND_NAME = None
# test.MODEL_ZOO_DIR is a configuration variable providing the path
# to the ZOO of ONNX models to test. It's set during pytest configuration time.
# See `pytest_configure` hook in `conftest.py` for more
# details.
MODEL_ZOO_DIR = None
# test.MODEL_ZOO_XFAIL is a configuration variable which enable xfails for model zoo.
MODEL_ZOO_XFAIL = False
def xfail_test(reason="Mark the test as expected to fail", strict=True):
return pytest.mark.xfail(reason=reason, strict=strict)
skip_segfault = pytest.mark.skip(reason="Segmentation fault error")
xfail_issue_33540 = xfail_test(reason="RuntimeError: GRUCell operation has a form that is not supported "
"GRUCell_<number> should be converted to GRUCellIE operation")
xfail_issue_33616 = xfail_test(reason="Add ceil_mode for Max and Avg pooling (reference implementation)")
xfail_issue_34310 = xfail_test(reason="RuntimeError: Error of validate layer: LSTMSequence_<number> with "
"type: LSTMSequence. Layer is not instance of RNNLayer class")
xfail_issue_34314 = xfail_test(reason="RuntimeError: RNNCell operation has a form that is not "
"supported.RNNCell_<number> should be converted to RNNCellIE operation")
xfail_issue_34323 = xfail_test(reason="RuntimeError: data [value] doesn't exist")
xfail_issue_34327 = xfail_test(reason="RuntimeError: '<value>' layer has different "
"IN and OUT channels number")
xfail_issue_35911 = xfail_test(reason="Assertion error: Pad model mismatch error")
xfail_issue_35912 = xfail_test(reason="RuntimeError: Error of validate layer: B with type: "
"Pad. Cannot parse parameter pads_end from IR for layer B. "
"Value -1,0 cannot be casted to int.")
xfail_issue_35914 = xfail_test(reason="IndexError: too many indices for array: "
"array is 0-dimensional, but 1 were indexed")
xfail_issue_35915 = xfail_test(reason="RuntimeError: Eltwise node with unsupported combination "
"of input and output types")
xfail_issue_35916 = xfail_test(reason="RuntimeError: Unsupported input dims count for layer Z")
xfail_issue_35917 = xfail_test(reason="RuntimeError: Unsupported input dims count for "
"layer MatMul")
xfail_issue_35918 = xfail_test(reason="onnx.onnx_cpp2py_export.checker.ValidationError: "
"Mismatched attribute type in 'test_node : alpha'")
xfail_issue_35921 = xfail_test(reason="ValueError - shapes mismatch in gemm")
xfail_issue_35923 = xfail_test(reason="RuntimeError: PReLU without weights is not supported")
xfail_issue_35924 = xfail_test(reason="Assertion error - elu results mismatch")
xfail_issue_35925 = xfail_test(reason="Assertion error - reduction ops results mismatch")
xfail_issue_35926 = xfail_test(reason="RuntimeError: [NOT_IMPLEMENTED] Input image format I64 is "
"not supported yet...")
xfail_issue_35927 = xfail_test(reason="RuntimeError: B has zero dimension that is not allowable")
xfail_issue_35929 = xfail_test(reason="RuntimeError: Incorrect precision f64!")
xfail_issue_35930 = xfail_test(reason="onnx.onnx_cpp2py_export.checker.ValidationError: "
"Required attribute 'to' is missing.")
xfail_issue_35932 = xfail_test(reason="Assertion error - logsoftmax results mismatch")
xfail_issue_36437 = xfail_test(reason="RuntimeError: Cannot find blob with name: <value>")
xfail_issue_36476 = xfail_test(reason="RuntimeError: [NOT_IMPLEMENTED] Input image format U32 is "
"not supported yet...")
xfail_issue_36478 = xfail_test(reason="RuntimeError: [NOT_IMPLEMENTED] Input image format U64 is "
"not supported yet...")
xfail_issue_36479 = xfail_test(reason="Assertion error - basic computation on ndarrays mismatch")
xfail_issue_36480 = xfail_test(reason="RuntimeError: [NOT_FOUND] Unsupported property dummy_option "
"by CPU plugin")
xfail_issue_36481 = xfail_test(reason="TypeError: _get_node_factory() takes from 0 to 1 positional "
"arguments but 2 were given")
xfail_issue_36483 = xfail_test(reason="RuntimeError: Unsupported primitive of type: "
"Ceiling name: <value>")
xfail_issue_36485 = xfail_test(reason="RuntimeError: Check 'm_group >= 1' failed at "
"/openvino/ngraph/core/src/op/shuffle_channels.cpp:77:")
xfail_issue_36486 = xfail_test(reason="RuntimeError: HardSigmoid operation should be converted "
"to HardSigmoid_IE")
xfail_issue_36487 = xfail_test(reason="Assertion error - mvn operator computation mismatch")
xfail_issue_38084 = xfail_test(reason="RuntimeError: AssertionFailed: layer->get_output_partial_shape(i) "
"is_static() nGraph NonZero operation with name: result cannot be"
"converted to NonZero layer with name: result because output"
"with index 0 contains dynamic shapes: {2,?}. Try to use "
"CNNNetwork::reshape() method in order to specialize shapes "
"before the conversion.")
xfail_issue_38085 = xfail_test(reason="RuntimeError: Interpolate operation should be converted to Interp")
xfail_issue_38086 = xfail_test(reason="RuntimeError: Quantize layer input '<value>' doesn't have blobs")
xfail_issue_38087 = xfail_test(reason="RuntimeError: Cannot cast to tensor desc. Format is unsupported!")
xfail_issue_38088 = xfail_test(reason="RuntimeError: Check '((axis >= axis_range_min) && "
"(axis <= axis_range_max))' failed at "
"/openvino/ngraph/core/src/validation_util.cpp:913: "
"Split Parameter axis <value> out of the tensor rank range <value>.")
xfail_issue_38089 = xfail_test(reason="RuntimeError: Node 2 contains empty child edge for index 0")
xfail_issue_38090 = xfail_test(reason="AssertionError: Items types are not equal")
xfail_issue_38091 = xfail_test(reason="AssertionError: Mismatched elements")
xfail_issue_38699 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations:"
"ai.onnx.preview.training.Gradient")
xfail_issue_38700 = xfail_test(reason="RuntimeError: nGraph does not support different sequence operations:"
"ConcatFromSequence, SequenceConstruct, SequenceAt, SplitToSequence,"
"SequenceEmpty, SequenceInsert, SequenceErase, SequenceLength ")
xfail_issue_38701 = xfail_test(reason="RuntimeError: unsupported element type: STRING")
xfail_issue_38702 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations:"
"Unique")
xfail_issue_38704 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations:"
"TfIdfVectorizer")
xfail_issue_38705 = xfail_test(reason="IndexError: deque::_M_range_check: __n (which is 0)"
">= this->size() (which is 0)")
xfail_issue_38706 = xfail_test(reason="RuntimeError: output_3.0 has zero dimension which is not allowed")
xfail_issue_38707 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations:"
"SoftmaxCrossEntropyLoss")
xfail_issue_38708 = xfail_test(reason="RuntimeError: While validating ONNX node '<Node(Slice): y>': "
"Axes input must be constant")
xfail_issue_38709 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations:"
"Scan")
xfail_issue_38710 = xfail_test(reason="RuntimeError: roi has zero dimension which is not allowed")
xfail_issue_38711 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations:"
"GatherElements")
xfail_issue_38712 = xfail_test(reason="RuntimeError: Check '(fmod == 1) "
"While validating ONNX node '<Node(Mod): z>': "
"Only 'fmod=1' mode is supported for mod operator.")
xfail_issue_38713 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations:"
"ai.onnx.preview.training.Momentum")
xfail_issue_38714 = xfail_test(reason="RuntimeError: While validating ONNX node '<Node(Resize): Y>'"
"Check 'element::Type::merge(element_type, element_type,"
"node->get_input_element_type(i))' "
"While validating node 'v1::<name> (sizes[0]:i64{4},"
"Convert_29306[0]:f32{4}) -> (dynamic?)' with friendly_name '<name>':"
"Argument element types are inconsistent.")
xfail_issue_38715 = xfail_test(reason="RuntimeError: While validating ONNX node '<Node(OneHot): y>':"
"While validating node 'v1::OneHot OneHot_<number>"
"(Convert_13525[0]:i64{3}, depth[0]:f32{},"
"Squeeze_13532[0]:i32{}, Squeeze_13529[0]:i32{}) -> (dynamic?)'"
"with friendly_name 'OneHot_13534':"
"Depth must be integral element type.")
xfail_issue_38716 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations:"
"MaxUnpool")
xfail_issue_38717 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations:"
"GreaterOrEqual")
xfail_issue_38718 = xfail_test(reason="nGraph does not support the following ONNX operations:"
"IsNaN and isInf")
xfail_issue_38719 = xfail_test(reason="nGraph does not support the following ONNX operations: GatherND")
xfail_issue_38720 = xfail_test(reason="nGraph does not support the following ONNX operations:"
"DynamicQuantizeLinear")
xfail_issue_38721 = xfail_test(reason="RuntimeError: While validating ONNX node '<Node(Pow): z>': "
"While validating node 'v1::Power Power_<number>"
"(x[0]:f32{3}, y[0]:i64{3}) -> (dynamic?)' with friendly_name "
"'Power_<number>': Argument element types are inconsistent.")
xfail_issue_38722 = xfail_test(reason="RuntimeError: While validating ONNX nodes MatMulInteger"
"and QLinearMatMul"
"Input0 scale and input0 zero point shape must be same and 1")
xfail_issue_38723 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations:"
"QLinearConv")
xfail_issue_38724 = xfail_test(reason="RuntimeError: While validating ONNX node '<Node(Resize): Y>':"
"tf_crop_and_resize - this type of coordinate transformation mode"
"is not supported. Choose one of the following modes:"
"tf_half_pixel_for_nn, asymmetric, align_corners, pytorch_half_pixel,"
"half_pixel")
xfail_issue_38725 = xfail_test(reason="RuntimeError: While validating ONNX node '<Node(Loop):"
"value info has no element type specified")
xfail_issue_38726 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations:"
"LessOrEqual")
xfail_issue_38727 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations:"
"Einsum")
xfail_issue_38728 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations:"
"Det")
xfail_issue_38729 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations:"
"Compress")
xfail_issue_38731 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations:"
"BitShift")
xfail_issue_38732 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations:"
"ConvInteger")
xfail_issue_38733 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations:"
"Celu")
xfail_issue_38734 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations:"
"ai.onnx.preview.training.Adam")
xfail_issue_38735 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations:"
"ai.onnx.preview.training.Adagrad")
xfail_issue_38736 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations:"
"NegativeLogLikelihoodLoss")
# Model Zoo issues:
xfail_issue_36534 = xfail_test(reason="RuntimeError: node input index is out of range")
xfail_issue_36535 = xfail_test(reason="RuntimeError: get_shape was called on a descriptor::Tensor "
"with dynamic shape")
xfail_issue_36536 = xfail_test(reason="RuntimeError: can't protect")
xfail_issue_36537 = xfail_test(reason="ngraph.exceptions.UserInputError: (Provided tensor's shape: "
"<value> does not match the expected: <value>")
xfail_issue_36538 = xfail_test(reason="RuntimeError: Check 'PartialShape::broadcast_merge_into( pshape, "
"node->get_input_partial_shape(i), autob)' failed at "
"/openvino/ngraph/src/ngraph/op/util/elementwise_args.cpp:48:")
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