Unexpected Exception happened: No module named 'generator'

rainfld commented 5 years ago

I encountered a problem when using model-optimizer to convert the alexnet caffe model to the format which can be taken by inference-engine.

Any suggestions are appreciated.

Command I use: python3.5 mo.py --framework caffe --input_model ../../open_model_zoo/model_downloader/classification/alexnet/caffe/alexnet.caffemodel

OUTPUT: Model Optimizer arguments: Common parameters:

Path to the Input Model: /home/xxxxx/workspace/openvino_work/dldt/model-optimizer/../../open_model_zoo/model_downloader/classification/alexnet/caffe/alexnet.caffemodel
Path for generated IR: /home/xxxxx/workspace/openvino_work/dldt/model-optimizer/.
IR output name: alexnet
Log level: ERROR
Batch: Not specified, inherited from the model
Input layers: Not specified, inherited from the model
Output layers: Not specified, inherited from the model
Input shapes: Not specified, inherited from the model
Mean values: Not specified
Scale values: Not specified
Scale factor: Not specified
Precision of IR: FP32
Enable fusing: True
Enable grouped convolutions fusing: True
Move mean values to preprocess section: False
Reverse input channels: False Caffe specific parameters:
Enable resnet optimization: True
Path to the Input prototxt: /home/xxxxx/workspace/openvino_work/dldt/model-optimizer/../../open_model_zoo/model_downloader/classification/alexnet/caffe/alexnet.prototxt
Path to CustomLayersMapping.xml: Default
Path to a mean file: Not specified
Offsets for a mean file: Not specified Model Optimizer version: 1.5.12.49d067a0 [ ERROR ] ------------------------------------------------- [ ERROR ] ----------------- INTERNAL ERROR ---------------- [ ERROR ] Unexpected exception happened. [ ERROR ] Please contact Model Optimizer developers and forward the following information: [ ERROR ] No module named 'generator' [ ERROR ] Traceback (most recent call last): File "/home/xxxxx/workspace/openvino_work/dldt/model-optimizer/mo/main.py", line 325, in main return driver(argv) File "/home/xxxxx/workspace/openvino_work/dldt/model-optimizer/mo/main.py", line 272, in driver import_extensions.load_dirs(argv.framework, extensions, update_registration) File "/home/xxxxx/workspace/openvino_work/dldt/model-optimizer/mo/utils/import_extensions.py", line 83, in load_dirs load_dir(framework, path, update_registration) File "/home/xxxxx/workspace/openvino_work/dldt/model-optimizer/mo/utils/import_extensions.py", line 64, in load_dir import_by_path(os.path.join(path, p), [ext, p]) File "/home/xxxxx/workspace/openvino_work/dldt/model-optimizer/mo/utils/import_extensions.py", line 26, in import_by_path importlib.import_module('{}.{}'.format('.'.join(middle_names), name)) File "/usr/lib/python3.5/importlib/init.py", line 126, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "", line 986, in _gcd_import File "", line 969, in _find_and_load File "", line 958, in _find_and_load_unlocked File "", line 673, in _load_unlocked File "", line 665, in exec_module File "", line 222, in _call_with_frames_removed File "/home/xxxxx/workspace/openvino_work/dldt/model-optimizer/mo/ops/flatten_onnx_test.py", line 20, in from generator import generator, generate ImportError: No module named 'generator'

[ ERROR ] ---------------- END OF BUG REPORT -------------- [ ERROR ] -------------------------------------------------

sevhabert commented 5 years ago

Install the following Python packages: coverage, m2r, pyenchant, pylint, Sphinx, safety, test-generator . In the current version, we are missing one requirement file that enables the unit tests.

rainfld commented 5 years ago

That works for me. Thanks!

portgasray commented 4 years ago

python3 -m pip install coverage m2r pyenchant pylint Sphinx safety test-generator

xingshuojing commented 4 years ago

thanks

esmirno commented 4 years ago

python3 -m pip install coverage m2r pyenchant pylint Sphinx safety test-generator

please note that pyenchant for x64 platform cannot be easily installed, havechecked on my side that pyenchant and pylint can be skipped in order to fix issue.

psyhtest commented 4 years ago

In my case, only the test-generator was truly needed for successfully converting SSD-MobileNet for MLPerf Inference:

$ python3.6 -m pip show coverage m2r pyenchant pylint Sphinx safety test-generator
WARNING: Package(s) not found: Sphinx, coverage, m2r, pyenchant, pylint, safety
Name: test-generator
Version: 0.1.2
Summary: Generator is a helper for generating test methods for nose while still using unittest
Home-page: https://github.com/kevinastone/generator
Author: Kevin Stone
Author-email: kevinastone@gmail.com
License: ISCL
Location: /usr/local/lib/python3.6/dist-packages
Requires: six
Required-by:

openvinotoolkit / openvino

Unexpected Exception happened: No module named 'generator' #82