145 lines
11 KiB
Python
145 lines
11 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import pytest
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# test.BACKEND_NAME is a configuration variable determining which
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# nGraph backend tests will use. It's set during pytest configuration time.
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# See `pytest_configure` hook in `conftest.py` for more details.
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BACKEND_NAME = None
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# test.MODEL_ZOO_DIR is a configuration variable providing the path
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# to the ZOO of ONNX models to test. It's set during pytest configuration time.
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# See `pytest_configure` hook in `conftest.py` for more
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# details.
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MODEL_ZOO_DIR = None
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# test.MODEL_ZOO_XFAIL is a configuration variable which enable xfails for model zoo.
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MODEL_ZOO_XFAIL = False
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def xfail_test(reason="Mark the test as expected to fail", strict=True):
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return pytest.mark.xfail(reason=reason, strict=strict)
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skip_segfault = pytest.mark.skip(reason="Segmentation fault error")
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xfail_accuracy = xfail_test(reason="Accuracy")
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xfail_issue_FLOAT_LIKE = xfail_test(reason="Use of bfloat16 or float16")
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xfail_issue_69444 = xfail_test(reason="failed with accuracy issue")
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xfail_issue_69443 = xfail_test(reason="Error in ref. implementation due to the empty pads_begin, pads_end")
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skip_issue_67415 = pytest.mark.skip(reason="RuntimeError: Unsupported data type for when filling blob!")
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xfail_issue_67415 = xfail_test(reason="RuntimeError: Unsupported data type for when filling blob!")
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xfail_issue_33488 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations: "
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"MaxUnpool")
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xfail_issue_33538 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations: "
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"Scan")
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skip_issue_38084 = pytest.mark.skip(reason="Aborted (core dumped) Assertion "
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"`(layer->get_output_partial_shape(i).is_static())' failed.")
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xfail_issue_33589 = xfail_test(reason="nGraph does not support the following ONNX operations: "
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"IsNaN and isInf")
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xfail_issue_33595 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations: "
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"Unique")
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xfail_issue_33596 = xfail_test(reason="RuntimeError: nGraph does not support different sequence operations: "
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"ConcatFromSequence, SequenceConstruct, SequenceAt, SplitToSequence, "
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"SequenceEmpty, SequenceInsert, SequenceErase, SequenceLength ")
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xfail_issue_33606 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations: "
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"Det")
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xfail_issue_33651 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations: "
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"TfIdfVectorizer")
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xfail_issue_33581 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations: "
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"GatherElements")
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xfail_issue_35923 = xfail_test(reason="RuntimeError: PReLU without weights is not supported")
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xfail_issue_35927 = xfail_test(reason="RuntimeError: B has zero dimension that is not allowable")
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xfail_issue_36486 = xfail_test(reason="RuntimeError: HardSigmoid operation should be converted "
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"to HardSigmoid_IE")
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xfail_issue_38084 = xfail_test(reason="RuntimeError: AssertionFailed: layer->get_output_partial_shape(i)."
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"is_static() nGraph <value> operation with name: <value> cannot be "
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"converted to <value> layer with name: <value> because output "
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"with index 0 contains dynamic shapes: {<value>}. Try to use "
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"CNNNetwork::reshape() method in order to specialize shapes "
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"before the conversion.")
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xfail_issue_38091 = xfail_test(reason="AssertionError: Mismatched elements")
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xfail_issue_38699 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations: "
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"ai.onnx.preview.training.Gradient")
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xfail_issue_38701 = xfail_test(reason="RuntimeError: unsupported element type: STRING")
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xfail_issue_38706 = xfail_test(reason="RuntimeError: output_3.0 has zero dimension which is not allowed")
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xfail_issue_38708 = xfail_test(reason="RuntimeError: While validating ONNX node '<Node(Slice): y>': "
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"Axes input must be constant")
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xfail_issue_38710 = xfail_test(reason="RuntimeError: data has zero dimension which is not allowed")
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xfail_issue_38713 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations: "
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"ai.onnx.preview.training.Momentum")
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xfail_issue_45457 = xfail_test(reason="RuntimeError: Unsupported dynamic ops: v5::Loop "
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"Not constant termination condition body output is not supported")
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xfail_issue_38724 = xfail_test(reason="RuntimeError: While validating ONNX node '<Node(Resize): Y>': "
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"tf_crop_and_resize - this type of coordinate transformation mode "
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"is not supported. Choose one of the following modes: "
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"tf_half_pixel_for_nn, asymmetric, align_corners, pytorch_half_pixel, "
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"half_pixel")
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xfail_issue_38725 = xfail_test(reason="RuntimeError: While validating ONNX node '<Node(Loop): "
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"value info has no element type specified")
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xfail_issue_38734 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations: "
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"ai.onnx.preview.training.Adam")
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xfail_issue_38735 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations: "
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"ai.onnx.preview.training.Adagrad")
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xfail_issue_48052 = xfail_test(reason="Dropout op is not supported in traning mode")
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xfail_issue_45180 = xfail_test(reason="RuntimeError: Unsupported dynamic op: ReduceSum")
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xfail_issue_44851 = xfail_test(reason="Expected: Unsupported dynamic op: Broadcast")
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xfail_issue_44854 = xfail_test(reason="Expected: Unsupported dynamic op: VariadicSplit")
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xfail_issue_44858 = xfail_test(reason="Expected: Unsupported dynamic op: Unsqueeze")
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xfail_issue_44956 = xfail_test(reason="Expected: Unsupported dynamic op: Loop")
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xfail_issue_44957 = xfail_test(reason="Expected: Unsupported dynamic op: NonZero")
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xfail_issue_44958 = xfail_test(reason="Expected: Unsupported dynamic op: Interpolate")
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xfail_issue_44965 = xfail_test(reason="Expected: RuntimeError: value info has no element")
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xfail_issue_44968 = xfail_test(reason="Expected: Unsupported dynamic op: Squeeze")
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xfail_issue_47323 = xfail_test(reason="RuntimeError: The plugin does not support FP64")
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xfail_issue_47337 = xfail_test(reason="RuntimeError: Unsupported dynamic ops: v1::OneHot")
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# Model MSFT issues:
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xfail_issue_37957 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations: "
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"com.microsoft.CropAndResize, com.microsoft.GatherND, "
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"com.microsoft.Pad, com.microsoft.Range")
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xfail_issue_39669 = xfail_test(reason="AssertionError: This model has no test data")
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xfail_issue_36534 = xfail_test(reason="RuntimeError: node input index is out of range")
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xfail_issue_36536 = xfail_test(reason="RuntimeError: can't protect")
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xfail_issue_36538 = xfail_test(reason="RuntimeError: Check 'PartialShape::broadcast_merge_into( pshape, "
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"node->get_input_partial_shape(i), autob)' failed at "
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"/openvino/ngraph/src/ngraph/op/util/elementwise_args.cpp:48:")
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xfail_issue_39658 = xfail_test(reason="RuntimeError: Tile operation has a form that is not supported."
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" z should be converted to TileIE operation.")
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xfail_issue_39662 = xfail_test(reason="RuntimeError: 'ScatterElementsUpdate' layer with name 'y' have "
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"indices value that points to non-existing output tensor element")
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xfail_issue_37973 = xfail_test(reason="TF Inception V2 - AssertionError: zoo models results mismatch")
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xfail_issue_47430 = xfail_test(reason="FCN ResNet models - AssertionError: zoo models results mismatch")
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xfail_issue_47495 = xfail_test(reason="BertSquad-10 from MSFT - AssertionError: zoo models results mismatch")
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xfail_issue_49207 = xfail_test(reason="Function references undeclared parameters")
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xfail_issue_48145 = xfail_test(reason="BertSquad-8 - AssertionError: Items are not equal: ACTUAL: 4 "
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"DESIRED: 3")
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xfail_issue_48190 = xfail_test(reason="RobertaBase-11 - AssertionError: Items are not equal: "
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"ACTUAL: dtype('float64') DESIRED: dtype('float32')")
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xfail_issue_49750 = xfail_test(reason="RuntimeError: Unsupported dynamic ops: v4::Interpolate")
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xfail_issue_49752 = xfail_test(reason="RuntimeError: Unsupported dynamic ops: v1::Pad")
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xfail_issue_49753 = xfail_test(reason="RuntimeError: Unsupported dynamic ops: v1::StridedSlice")
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xfail_issue_49754 = xfail_test(reason="RuntimeError: Unsupported dynamic ops: v1::TopKIE")
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xfail_issue_52463 = xfail_test(reason="test_operator_add_size1_singleton_broadcast_cpu - "
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"Not equal to tolerance")
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xfail_issue_58033 = xfail_test(reason="Einsum operation misses support for complex ellipsis equations")
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xfail_issue_58676 = xfail_test(reason="AssertionError: Not equal to tolerance rtol=0.001, atol=1e-07")
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xfail_issue_onnx_models_140 = xfail_test(reason="https://github.com/onnx/models/issues/140")
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xfail_issue_54630 = xfail_test(reason="Gather with negative indices is not yet implemented on CPU")
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xfail_issue_63033 = xfail_test(reason="BatchNormalization: Training mode is not supported")
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xfail_issue_63036 = xfail_test(reason="Changes in ConvTranspose padding")
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xfail_issue_63039 = xfail_test(reason="Result mismatches with UINT8 operations")
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xfail_issue_63043 = xfail_test(reason="Recurrent node expects constants as W, R, B inputs.")
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xfail_issue_63044 = xfail_test(reason="ONNX opset 14 operation: Trilu")
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skip_rng_tests = pytest.mark.skip(reason="Tests use random number generator with no seed.")
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xfail_issue_63136 = xfail_test(reason="Unsupported operation: CastLike")
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xfail_issue_63137 = xfail_test(reason="Unsupported operations: OptionalHasElement, OptionalGetElement")
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xfail_issue_63138 = xfail_test(reason="Missing ONNX Shape-15 support")
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xfail_issue_63643 = xfail_test(reason="RuntimeError: Unsupported operation of type: Convolution name")
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xfail_issue_54663 = xfail_test(reason="Disabled until MaxPool-8 is supported on CPU")
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xfail_issue_68212 = xfail_test(reason="Unsupported reading model with bytes streams")
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