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[18:20:32] D:\Program Files (x86)\Jenkins\workspace\mxnet-tag\mxnet\src\nnvm\legacy_json_util.cc:209: Loading symbol saved by previous version v0.9.4. Attempting to upgrade...
[18:20:32] D:\Program Files (x86)\Jenkins\workspace\mxnet-tag\mxnet\src\nnvm\legacy_json_util.cc:217: Symbol successfully upgraded!
E:\ProgramData\Anaconda2\lib\site-packages\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
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.
Error Message
File "E:\workspace\python\MMdnn\mmdnn\conversion\_script\convertToIR.py", line 140, in <module>
_main()
File "E:\workspace\python\MMdnn\mmdnn\conversion\_script\convertToIR.py", line 135, in _main
ret = _convert(args)
File "E:\workspace\python\MMdnn\mmdnn\conversion\_script\convertToIR.py", line 72, in _convert
parser.run(args.dstPath)
File "E:\ProgramData\Anaconda2\Lib\site-packages\mmdnn\conversion\common\DataStructure\parser.py", line 22, in run
self.gen_IR()
File "E:\ProgramData\Anaconda2\Lib\site-packages\mmdnn\conversion\mxnet\mxnet_parser.py", line 266, in gen_IR
func(current_node)
File "E:\ProgramData\Anaconda2\Lib\site-packages\mmdnn\conversion\mxnet\mxnet_parser.py", line 429, in rename_FullyConnected
channel_first_list = self.trace_shape(source_node, IR_node)
File "E:\ProgramData\Anaconda2\Lib\site-packages\mmdnn\conversion\mxnet\mxnet_parser.py", line 90, in trace_shape
IR_node = self.IR_layer_map[IR_node.input[0]]
File "E:\ProgramData\Anaconda2\Lib\site-packages\google\protobuf\internal\containers.py", line 204, in __getitem__
return self._values[key]
IndexError: list index out of range
The text was updated successfully, but these errors were encountered:
Platform (like ubuntu 16.04/win10):
Win10
Python version:
Python27
Source framework with version (like Tensorflow 1.4.1 with GPU):
MXNet version 1.0.0 (mxnet_cu80), model version is 0.9.4
Destination framework with version (like CNTK 2.3 with GPU):
Caffe
Pre-trained model path (webpath or webdisk path):
http://17064t8y63.51mypc.cn:8000/d/d5c6c4b421/
Running scripts:
python -m mmdnn.conversion._script.convertToIR -f mxnet -n newnet-symbol.json -w newnet-0052.params -d pointnet --inputShape 3 64 64
Running logs
Error Message
The text was updated successfully, but these errors were encountered: