[MXNet SSD model support] Problem in converting ssd inception model from mxnet to IR.

[pokerface1o1]

Platform (like ubuntu 16.04):

Python version: 2.7.12

Source framework with version: MXNET 1.0.0 with GPU

Destination framework with version: Tensorflow 1.4.1 with GPU

I was able to convert InceptionV3 (mxnet) to IR but I encounter a problem when I try to convert ssd InceptionV3 model(mxnet).

Running scripts:
root@2f2520263ec5:/home/bomo/Desktop# python -m mmdnn.conversion._script.convertToIR -f mxnet -n ssd_inceptionv3_512-symbol.json -d ssd_inceptionv3_512 --inputShape 3 512 512

error:
[14:37:20] src/nnvm/legacy_json_util.cc:209: Loading symbol saved by previous version v0.12.0. Attempting to upgrade... [14:37:20] src/nnvm/legacy_json_util.cc:217: Symbol successfully upgraded! /mxnet/python/mxnet/module/base_module.py:53: UserWarning: You created Module with Module(..., label_names=['softmax_label']) but input with name 'softmax_label' is not found in symbol.list_arguments(). Did you mean one of: data label warnings.warn(msg) Warning: MXNet Parser has not supported operator null with name data. Warning: convert the null operator with name [data] into input layer. Warning: MXNet Parser has not supported operator null with name label. Warning: convert the null operator with name [label] into input layer. [14:37:20] /mxnet/dmlc-core/include/dmlc/./logging.h:308: **[14:37:20] src/c_api/c_api_symbolic.cc:417: InferShapeKeyword argument name data not found. Candidate arguments: [0]label**
infer_shape error. Arguments: data: (1, 3, 512, 512) Traceback (most recent call last): File "/usr/lib/python2.7/runpy.py", line 174, in _run_module_as_main "__main__", fname, loader, pkg_name) File "/usr/lib/python2.7/runpy.py", line 72, in _run_code exec code in run_globals File "/usr/local/lib/python2.7/dist-packages/mmdnn/conversion/_script/convertToIR.py", line 159, in <module> _main() File "/usr/local/lib/python2.7/dist-packages/mmdnn/conversion/_script/convertToIR.py", line 154, in _main ret = _convert(args) File "/usr/local/lib/python2.7/dist-packages/mmdnn/conversion/_script/convertToIR.py", line 95, in _convert parser.gen_IR() File "/usr/local/lib/python2.7/dist-packages/mmdnn/conversion/mxnet/mxnet_parser.py", line 269, in gen_IR self.rename_UNKNOWN(current_node) File "/usr/local/lib/python2.7/dist-packages/mmdnn/conversion/mxnet/mxnet_parser.py", line 388, in rename_UNKNOWN self.set_output_shape(source_node, IR_node) File "/usr/local/lib/python2.7/dist-packages/mmdnn/conversion/mxnet/mxnet_parser.py", line 285, in set_output_shape arg_shape, output_shape, aux_shape = sym.infer_shape(data = self.data_shape) File "/mxnet/python/mxnet/symbol/symbol.py", line 965, in infer_shape res = self._infer_shape_impl(False, *args, **kwargs) File "/mxnet/python/mxnet/symbol/symbol.py", line 1095, in _infer_shape_impl ctypes.byref(complete))) File "/mxnet/python/mxnet/base.py", line 146, in check_call raise MXNetError(py_str(_LIB.MXGetLastError())) **mxnet.base.MXNetError: [14:37:20] src/c_api/c_api_symbolic.cc:417: InferShapeKeyword argument name data not found. Candidate arguments: [0]label**

[kitstar]

Hi @pokerface1o1 , could you provide the model path?

[pokerface1o1]

I get the same error when I try with both network and weights. Both the file are in the same directory from which I run the code.

[kitstar]

er... I mean, could you share your model for us to testing?

[pokerface1o1]

It contains both the symbol and weights file: ssd_inception_512

[kitstar]

I will try it and ping you if there is any progress. Thanks.

[Ztrimus]

@pokerface1o1 Were you able to resolve your issue? I am facing same problem.
@kitstar Is there any modifications related to object detection model support?

Thanks in advance.

[rohit167]

@pokerface1o1 @sbzed @kitstar
Hello, were you able to solve this issue?

I have trained a custom yolo3 darknet-53 (using gluon-cv mxnet)
I need to convert the model to tensorflow for final inference.

I am facing the same issue while converting yolo3_darknet-53 mxnet model to IR.

ai-mxnet/lib/python3.6/site-packages/mxnet/module/base_module.py:55: UserWarning: You created Module with Module(..., label_names=['softmax_label']) but input with name 'softmax_label' is not found in symbol.list_arguments(). Did you mean one of: data _defaultpreprocess0_init_mean _defaultpreprocess0_init_scale yolov30_yolooutputv30_offset_0 yolov30_yolooutputv30_anchor_0 yolov30_yolooutputv31_offset_1 yolov30_yolooutputv31_anchor_1 yolov30_yolooutputv32_offset_2 yolov30_yolooutputv32_anchor_2 warnings.warn(msg) Warning: MXNet Parser has not supported operator null with name data. Warning: convert the null operator with name [data] into input layer. Warning: MXNet Parser has not supported operator null with name _defaultpreprocess0_init_scale. Warning: convert the null operator with name [_defaultpreprocess0_init_scale] into input layer. infer_shape error. Arguments: data: (1, 3, 608, 608) ... call raise MXNetError(py_str(_LIB.MXGetLastError())) mxnet.base.MXNetError: [17:49:07] src/c_api/c_api_symbolic.cc:540: InferShapeKeyword argument name data not found. Candidate arguments: [0]_defaultpreprocess0_init_scale

Thanks!