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Skip ssd_mobilenet_v1 due to subgraph shape inference enhancement (on…
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…nx#5700)

### Description
<!-- - Describe your changes. -->
Skip ssd_mobilenet_v1 due to recent subgraph shape inference
enhancement.

### Motivation and Context
<!-- - Why is this change required? What problem does it solve? -->
<!-- - If it fixes an open issue, please link to the issue here. -->
The CI of `Weekly CI with the latest ONNX and ONNX Model Zoo` started
failing after Aug 27 (passed on Aug 20) probably due to this sugraph
shape inference enhancement: onnx#5488
(merged on Aug 21).

The root cause is track in Model Zoo repo:
onnx/models#628 and will be fixed there. For
now we can just skip this test in ONNX repo.

cc @gramalingam since we have discussed it yesterday.

---------

Signed-off-by: Chun-Wei Chen <jacky82226@gmail.com>
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jcwchen authored and isdanni committed Nov 2, 2023
1 parent 93bb539 commit 98d220b
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6 changes: 6 additions & 0 deletions workflow_scripts/config.py
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"vision/classification/vgg/model/vgg16-bn-7.onnx", # version_converter/adapters/transformers.h:30: operator(): Assertion `node->i(attr) == value` failed: Attribute spatial must have value 1
"vision/classification/vgg/model/vgg19-bn-7.onnx", # version_converter/adapters/transformers.h:30: operator(): Assertion `node->i(attr) == value` failed: Attribute spatial must have value 1
"vision/object_detection_segmentation/mask-rcnn/model/MaskRCNN-12-int8.onnx", # unordered_map::at: key not found
"vision/object_detection_segmentation/ssd-mobilenetv1/model/ssd_mobilenet_v1_10.onnx", # starts failing after ONNX 1.15.0 due to subgraph shape inference enhancement:
# [ShapeInferenceError] Inference error(s): (op_type:Loop, node name: generic_loop_Loop__48):
# [ShapeInferenceError] Inference error(s): (op_type:If, node name: Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/cond_If__115):
# [ShapeInferenceError] Inference error(s): (op_type:Concat, node name: Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/cond/concat):
# [ShapeInferenceError] All inputs to Concat must have same rank. Input 1 has rank 1 != 2
# TODO: remove this skip. Tracking by https://github.com/onnx/models/issues/628
}

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