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SSola8
New Contributor I
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Exception during running replacer ONNXMaskRCNNReplacement in conversion of MaskRCNN from ONNX to IR

 

Hi,

In an attempt to convert a MaskRCNN model from Pytorch ==>  ONNX ==> IR, it's failing in the conversion from ONNX to IR (ONNXMaskRCNNReplacement is attempting to access a node that's not in the graph). I am using OpenVINO version 2020.1.

CONVERSION DETAILS -

I used ONNX 1.6 and opset version 11 for the conversion to ONNX. 

For converting to IR, this was the input command: 

sudo python3 mo.py --input_model mask_rcnn_R_50_FPN_1x.onnx --input_shape "[1,3,960,1280]"  --transformations_config ./extensions/front/onnx/mask_rcnn.json --log_level DEBUG --input "0:2"

Error log:

[ ERROR ]  -------------------------------------------------
[ ERROR ]  ----------------- INTERNAL ERROR ----------------
[ ERROR ]  Unexpected exception happened.
[ ERROR ]  Please contact Model Optimizer developers and forward the following information:
[ ERROR ]  Exception occurred during running replacer "ONNXMaskRCNNReplacement (<class 'extensions.front.onnx.mask_rcnn_conversion.ObjectDetectionAPIOutputReplacement'>)": Attempt to access node 6795 that not in graph
[ ERROR ]  Traceback (most recent call last):
  File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/utils/class_registration.py", line 287, in apply_transform
    for_graph_and_each_sub_graph_recursively(graph, replacer.find_and_replace_pattern)
  File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/middle/pattern_match.py", line 58, in for_graph_and_each_sub_graph_recursively
    func(graph)
  File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/front/tf/replacement.py", line 48, in find_and_replace_pattern
    self.transform_graph(graph, desc._replacement_desc['custom_attributes'])
  File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/extensions/front/onnx/mask_rcnn_conversion.py", line 49, in transform_graph
    insert_ExperimentalDetectronROIFeatureExtractor1(graph)
  File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/extensions/front/onnx/mask_rcnn_conversion.py", line 87, in insert_ExperimentalDetectronROIFeatureExtractor1
    old_output_node = Node(graph, '6795')
  File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/graph/graph.py", line 38, in __init__
    assert node in graph, "Attempt to access node {} that not in graph".format(node)
AssertionError: Attempt to access node 6795 that not in graph

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/main.py", line 314, in main
    return driver(argv)
  File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/main.py", line 281, in driver
    ret_res = emit_ir(prepare_ir(argv), argv)
  File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/main.py", line 246, in prepare_ir
    graph = mo_onnx.driver(argv)
  File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/pipeline/onnx.py", line 72, in driver
    class_registration.ClassType.BACK_REPLACER
  File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/utils/class_registration.py", line 324, in apply_replacements
    num_transforms=len(replacers_order))
  File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/utils/logger.py", line 124, in wrapper
    function(*args, **kwargs)
  File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/utils/class_registration.py", line 309, in apply_transform
    )) from err
Exception: Exception occurred during running replacer "ONNXMaskRCNNReplacement (<class 'extensions.front.onnx.mask_rcnn_conversion.ObjectDetectionAPIOutputReplacement'>)": Attempt to access node 6795 that not in graph

Please advise on how to solve this problem.

Thank you

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1 Reply
SIRIGIRI_V_Intel
Employee
66 Views

A similar query has been posted. Please refer this comment and let us know in case of any questions.

Regards,

Ram prasad

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