ProbleminconvertingssdinceptionmodelfrommxnettoIR.

作者：红烧大青虫 | 来源：互联网 | 2023-10-12 19:47

Platform(likeubuntu16.04):Pythonversion:2.7.12Sourceframeworkwithv

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:

1	root:/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:

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[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&＃061;[&＃039;softmax_label&＃039;]) but input with name &＃039;softmax_label&＃039; 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**

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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

_main()

File "/usr/local/lib/python2.7/dist-packages/mmdnn/conversion/_script/convertToIR.py", line 154, in _main

ret &＃061; _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 &＃061; sym.infer_shape(data &＃061; self.data_shape)

File "/mxnet/python/mxnet/symbol/symbol.py", line 965, in infer_shape

res &＃061; 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**

该提问来源于开源项目：microsoft/MMdnn

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.

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ai-mxnet/lib/python3.6/site-packages/mxnet/module/base_module.py:55: UserWarning: You created Module with Module(..., label_names&＃061;[&＃039;softmax_label&＃039;]) but input with name &＃039;softmax_label&＃039; 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!

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