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Subject [GitHub] [singa] Shashankwer edited a comment on issue #700: Expand the model zoo (example model set)
Date Sat, 30 May 2020 16:21:05 GMT

Shashankwer edited a comment on issue #700:
URL: https://github.com/apache/singa/issues/700#issuecomment-636353079


   Hi, 
   
   Shufflenetv2 for average pooling layer the conversion from onnx fails on below error: 
   ValueError: Not implemented yet for count_include_pad or ceil_mode 
   
   with below stack trace
   
   ValueError                                Traceback (most recent call last)
   <ipython-input-22-f6c52060eea0> in <module>()
   ----> 1 sg_ir = sonnx.prepare(onnx_model, device=dev)
   
   3 frames
   /usr/local/lib/python3.7/site-packages/singa/sonnx.py in prepare(cls, model, device, **kwargs)
      2033                 opset_version = 1
      2034         weights, singa_ops = cls._onnx_model_to_singa_net(
   -> 2035             model, init_inputs, device, opset_version)
      2036         return SingaRep(model, weights, singa_ops,
      2037                         cls.keep_initializers_as_inputs)
   
   /usr/local/lib/python3.7/site-packages/singa/sonnx.py in _onnx_model_to_singa_net(cls,
model, init_inputs, device, opset_version)
      1971             ]
      1972             handle, forward = cls._onnx_node_to_singa_op(
   -> 1973                 node, inputs, opset_version)
      1974             # if it is Constant, we hanlde it as a weight
      1975             # otherwise, we run it and add its output into map for being used by
later operators
   
   /usr/local/lib/python3.7/site-packages/singa/sonnx.py in _onnx_node_to_singa_op(cls, onnx_node,
inputs, opset_version)
      1816         else:
      1817             translator = cls._common_onnx_node_to_singa_op
   -> 1818         return translator(onnx_node, inputs, opset_version)
      1819 
      1820     classmethod
   
   /usr/local/lib/python3.7/site-packages/singa/sonnx.py in _create_max_avg_pool(cls, onnx_node,
inputs, opset_version)
      1635         if "count_include_pad" in onnx_node.attrs or "ceil_mode" in onnx_node.attrs:
      1636             raise ValueError(
   -> 1637                 "Not implemented yet for count_include_pad or ceil_mode")
      1638 
      1639         # only support 2d
   
   ValueError: Not implemented yet for count_include_pad or ceil_mode.
   
   Kindly let us know the further steps to be taken
   
   Thanks and Regards,
   Shashank Nigam


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