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[02:31:24] src/nnvm/legacy_json_util.cc:209: Loading symbol saved by previous version v1.5.0. Attempting to upgrade...
[02:31:24] src/nnvm/legacy_json_util.cc:217: Symbol successfully upgraded!
/usr/local/lib/python3.5/dist-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
yolov39_yolooutputv30_offset_0
yolov39_yolooutputv30_anchor_0
yolov39_yolooutputv31_offset_1
yolov39_yolooutputv31_anchor_1
yolov39_yolooutputv32_offset_2
yolov39_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 _arange with name yolov39_yolooutputv30__arange0.
Traceback (most recent call last):
File "/usr/lib/python3.5/runpy.py", line 184, in _run_module_as_main
"main", mod_spec)
File "/usr/lib/python3.5/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/usr/local/lib/python3.5/dist-packages/mmdnn/conversion/_script/convertToIR.py", line 197, in
_main()
File "/usr/local/lib/python3.5/dist-packages/mmdnn/conversion/_script/convertToIR.py", line 192, in _main
ret = _convert(args)
File "/usr/local/lib/python3.5/dist-packages/mmdnn/conversion/_script/convertToIR.py", line 115, in _convert
parser.run(args.dstPath)
File "/usr/local/lib/python3.5/dist-packages/mmdnn/conversion/common/DataStructure/parser.py", line 22, in run
self.gen_IR()
File "/usr/local/lib/python3.5/dist-packages/mmdnn/conversion/mxnet/mxnet_parser.py", line 263, in gen_IR
self.rename_UNKNOWN(current_node)
File "/usr/local/lib/python3.5/dist-packages/mmdnn/conversion/mxnet/mxnet_parser.py", line 374, in rename_UNKNOWN
raise NotImplementedError()
NotImplementedError
The text was updated successfully, but these errors were encountered:
最近试了您的mxnet的模型,感觉还可以,想在TensorFlow或者Cafee平台下试试,不过自己使用mmdnn转失败,不知道您是否有TensorFlow或Cafee的模型。
mmdnn报错如下:
root@ubuntu:/home/model# python3 -m mmdnn.conversion._script.convertToIR -f mxnet -n darknet53-symbol.json -w darknet53-0000.params -d resnet50 --inputShape 3,112,112
[02:31:24] src/nnvm/legacy_json_util.cc:209: Loading symbol saved by previous version v1.5.0. Attempting to upgrade...
[02:31:24] src/nnvm/legacy_json_util.cc:217: Symbol successfully upgraded!
/usr/local/lib/python3.5/dist-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
yolov39_yolooutputv30_offset_0
yolov39_yolooutputv30_anchor_0
yolov39_yolooutputv31_offset_1
yolov39_yolooutputv31_anchor_1
yolov39_yolooutputv32_offset_2
yolov39_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 _arange with name yolov39_yolooutputv30__arange0.
Traceback (most recent call last):
File "/usr/lib/python3.5/runpy.py", line 184, in _run_module_as_main
"main", mod_spec)
File "/usr/lib/python3.5/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/usr/local/lib/python3.5/dist-packages/mmdnn/conversion/_script/convertToIR.py", line 197, in
_main()
File "/usr/local/lib/python3.5/dist-packages/mmdnn/conversion/_script/convertToIR.py", line 192, in _main
ret = _convert(args)
File "/usr/local/lib/python3.5/dist-packages/mmdnn/conversion/_script/convertToIR.py", line 115, in _convert
parser.run(args.dstPath)
File "/usr/local/lib/python3.5/dist-packages/mmdnn/conversion/common/DataStructure/parser.py", line 22, in run
self.gen_IR()
File "/usr/local/lib/python3.5/dist-packages/mmdnn/conversion/mxnet/mxnet_parser.py", line 263, in gen_IR
self.rename_UNKNOWN(current_node)
File "/usr/local/lib/python3.5/dist-packages/mmdnn/conversion/mxnet/mxnet_parser.py", line 374, in rename_UNKNOWN
raise NotImplementedError()
NotImplementedError
The text was updated successfully, but these errors were encountered: