(py310) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modelmaker$ pyenv virtualenv 3.10  modelqt
(py310) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modelmaker$ pyenv activate modelqt 
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modelmaker$ cd .
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modelmaker$ cd ..
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti$ cd edgeai-m
edgeai-mmdetection/ edgeai-modelmaker/  edgeai-modelzoo/    
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti$ cd edgeai-m
edgeai-mmdetection/ edgeai-modelmaker/  edgeai-modelzoo/    
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti$ cd edgeai-
edgeai-benchmark/   edgeai-mmdetection/ edgeai-modelmaker/  edgeai-modelzoo/    edgeai-tidl-tools/  edgeai-torchvision/ edgeai-yolox/       
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti$ git clone https://github.com/TexasInstruments/edgeai-modeloptimization.git
Cloning into 'edgeai-modeloptimization'...
remote: Enumerating objects: 3890, done.
remote: Counting objects: 100% (1450/1450), done.
remote: Compressing objects: 100% (385/385), done.
remote: Total 3890 (delta 1115), reused 1363 (delta 1059), pack-reused 2440 (from 1)
Receiving objects: 100% (3890/3890), 43.05 MiB | 13.11 MiB/s, done.
Resolving deltas: 100% (2662/2662), done.
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti$ ls
edgeai-benchmark  edgeai-mmdetection  edgeai-modelmaker  edgeai-modeloptimization  edgeai-modelzoo  edgeai-tidl-tools  edgeai-torchvision  edgeai-yolox
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti$ cd edgeai-m
edgeai-mmdetection/       edgeai-modelmaker/        edgeai-modeloptimization/ edgeai-modelzoo/          
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti$ cd edgeai-m
edgeai-mmdetection/       edgeai-modelmaker/        edgeai-modeloptimization/ edgeai-modelzoo/          
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti$ cd edgeai-modeloptimization/
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization$ ls
LICENSE  README.md  torchmodelopt
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization$ pip3 install "git+https://github.com/TexasInstruments/edgeai-modeloptimization.git#subdirectory=torchmodelopt"
Collecting git+https://github.com/TexasInstruments/edgeai-modeloptimization.git#subdirectory=torchmodelopt
  Cloning https://github.com/TexasInstruments/edgeai-modeloptimization.git to /tmp/pip-req-build-g7r6bqz1
  Running command git clone --filter=blob:none --quiet https://github.com/TexasInstruments/edgeai-modeloptimization.git /tmp/pip-req-build-g7r6bqz1
  Resolved https://github.com/TexasInstruments/edgeai-modeloptimization.git to commit 0532969072b66ec1a1de0e38c0c29acbe986679d
  Preparing metadata (setup.py) ... done
Collecting progressbar
  Using cached progressbar-2.5-py3-none-any.whl
Collecting colorama
  Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)
Collecting opencv-python
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Collecting kiwisolver>=1.3.1
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Collecting cycler>=0.10
  Downloading cycler-0.12.1-py3-none-any.whl (8.3 kB)
Collecting pillow>=8
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Collecting numpy>=1.23
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Collecting rich
  Downloading rich-13.9.4-py3-none-any.whl (242 kB)
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Collecting onnx
  Downloading onnx-1.17.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (16.0 MB)
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Collecting six>=1.5
  Downloading six-1.16.0-py2.py3-none-any.whl (11 kB)
Collecting protobuf>=3.20.2
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Collecting markdown-it-py>=2.2.0
  Downloading markdown_it_py-3.0.0-py3-none-any.whl (87 kB)
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Collecting typing-extensions<5.0,>=4.0.0
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Collecting mdurl~=0.1
  Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)
Installing collected packages: progressbar, typing-extensions, torchinfo, six, pyyaml, pyparsing, pygments, protobuf, pillow, packaging, numpy, mdurl, kiwisolver, fonttools, cycler, colorama, scipy, python-dateutil, pydot, opencv-python, onnx, markdown-it-py, contourpy, rich, matplotlib, onnxsim, edgeai-torchmodelopt
  DEPRECATION: edgeai-torchmodelopt is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559
  Running setup.py install for edgeai-torchmodelopt ... done
Successfully installed colorama-0.4.6 contourpy-1.3.1 cycler-0.12.1 edgeai-torchmodelopt-10.0.0+532969 fonttools-4.55.0 kiwisolver-1.4.7 markdown-it-py-3.0.0 matplotlib-3.9.2 mdurl-0.1.2 numpy-2.1.3 onnx-1.17.0 onnxsim-0.4.36 opencv-python-4.10.0.84 packaging-24.2 pillow-11.0.0 progressbar-2.5 protobuf-5.28.3 pydot-3.0.2 pygments-2.18.0 pyparsing-3.2.0 python-dateutil-2.9.0.post0 pyyaml-6.0.2 rich-13.9.4 scipy-1.14.1 six-1.16.0 torchinfo-1.8.0 typing-extensions-4.12.2

[notice] A new release of pip is available: 23.0.1 -> 24.3.1
[notice] To update, run: python -m pip install --upgrade pip
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization$ cd 
.git/          torchmodelopt/ 
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization$ cd 
.git/          torchmodelopt/ 
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization$ cd 
.git/          torchmodelopt/ 
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization$ cd torchmodelopt/
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization/torchmodelopt$ ./setup.sh 
installing the pytorch model optimization toolkit...
version_file=/home/zxb/Desktop/ti/edgeai-modeloptimization/torchmodelopt/version.py
/home/zxb/.pyenv/versions/modelqt/lib/python3.10/site-packages/setuptools/dist.py:530: UserWarning: Normalizing '10.0.0+0532969' to '10.0.0+532969'
  warnings.warn(tmpl.format(**locals()))
running develop
/home/zxb/.pyenv/versions/modelqt/lib/python3.10/site-packages/setuptools/command/easy_install.py:144: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools.
  warnings.warn(
/home/zxb/.pyenv/versions/modelqt/lib/python3.10/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
  warnings.warn(
running egg_info
creating edgeai_torchmodelopt.egg-info
writing edgeai_torchmodelopt.egg-info/PKG-INFO
writing dependency_links to edgeai_torchmodelopt.egg-info/dependency_links.txt
writing requirements to edgeai_torchmodelopt.egg-info/requires.txt
writing top-level names to edgeai_torchmodelopt.egg-info/top_level.txt
writing manifest file 'edgeai_torchmodelopt.egg-info/SOURCES.txt'
reading manifest file 'edgeai_torchmodelopt.egg-info/SOURCES.txt'
writing manifest file 'edgeai_torchmodelopt.egg-info/SOURCES.txt'
running build_ext
Creating /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages/edgeai-torchmodelopt.egg-link (link to .)
Adding edgeai-torchmodelopt 10.0.0+532969 to easy-install.pth file

Installed /home/zxb/Desktop/ti/edgeai-modeloptimization/torchmodelopt
Processing dependencies for edgeai-torchmodelopt==10.0.0+532969
Searching for pydot==3.0.2
Best match: pydot 3.0.2
Adding pydot 3.0.2 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for onnxsim==0.4.36
Best match: onnxsim 0.4.36
Adding onnxsim 0.4.36 to easy-install.pth file
Installing onnxsim script to /home/zxb/.pyenv/versions/modelqt/bin

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for torchinfo==1.8.0
Best match: torchinfo 1.8.0
Adding torchinfo 1.8.0 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for PyYAML==6.0.2
Best match: PyYAML 6.0.2
Adding PyYAML 6.0.2 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for matplotlib==3.9.2
Best match: matplotlib 3.9.2
Adding matplotlib 3.9.2 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for scipy==1.14.1
Best match: scipy 1.14.1
Adding scipy 1.14.1 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for opencv-python==4.10.0.84
Best match: opencv-python 4.10.0.84
Adding opencv-python 4.10.0.84 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for colorama==0.4.6
Best match: colorama 0.4.6
Adding colorama 0.4.6 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for progressbar==2.5
Best match: progressbar 2.5
Adding progressbar 2.5 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for pyparsing==3.2.0
Best match: pyparsing 3.2.0
Adding pyparsing 3.2.0 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for rich==13.9.4
Best match: rich 13.9.4
Adding rich 13.9.4 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for onnx==1.17.0
Best match: onnx 1.17.0
Adding onnx 1.17.0 to easy-install.pth file
Installing backend-test-tools script to /home/zxb/.pyenv/versions/modelqt/bin
Installing check-model script to /home/zxb/.pyenv/versions/modelqt/bin
Installing check-node script to /home/zxb/.pyenv/versions/modelqt/bin

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for python-dateutil==2.9.0.post0
Best match: python-dateutil 2.9.0.post0
Adding python-dateutil 2.9.0.post0 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for pillow==11.0.0
Best match: pillow 11.0.0
Adding pillow 11.0.0 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for packaging==24.2
Best match: packaging 24.2
Adding packaging 24.2 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for numpy==2.1.3
Best match: numpy 2.1.3
Adding numpy 2.1.3 to easy-install.pth file
Installing f2py script to /home/zxb/.pyenv/versions/modelqt/bin
Installing numpy-config script to /home/zxb/.pyenv/versions/modelqt/bin

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for kiwisolver==1.4.7
Best match: kiwisolver 1.4.7
Adding kiwisolver 1.4.7 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for fonttools==4.55.0
Best match: fonttools 4.55.0
Adding fonttools 4.55.0 to easy-install.pth file
Installing fonttools script to /home/zxb/.pyenv/versions/modelqt/bin
Installing pyftmerge script to /home/zxb/.pyenv/versions/modelqt/bin
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Installing ttx script to /home/zxb/.pyenv/versions/modelqt/bin

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for cycler==0.12.1
Best match: cycler 0.12.1
Adding cycler 0.12.1 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for contourpy==1.3.1
Best match: contourpy 1.3.1
Adding contourpy 1.3.1 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for typing-extensions==4.12.2
Best match: typing-extensions 4.12.2
Adding typing-extensions 4.12.2 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for pygments==2.18.0
Best match: pygments 2.18.0
Adding pygments 2.18.0 to easy-install.pth file
Installing pygmentize script to /home/zxb/.pyenv/versions/modelqt/bin

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for markdown-it-py==3.0.0
Best match: markdown-it-py 3.0.0
Adding markdown-it-py 3.0.0 to easy-install.pth file
Installing markdown-it script to /home/zxb/.pyenv/versions/modelqt/bin

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for protobuf==5.28.3
Best match: protobuf 5.28.3
Adding protobuf 5.28.3 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for six==1.16.0
Best match: six 1.16.0
Adding six 1.16.0 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Searching for mdurl==0.1.2
Best match: mdurl 0.1.2
Adding mdurl 0.1.2 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Finished processing dependencies for edgeai-torchmodelopt==10.0.0+532969
For running demo, run demo/setup.sh otherwise ignore this message
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization/torchmodelopt$ ls
demo  docs  edgeai_torchmodelopt  edgeai_torchmodelopt.egg-info  example_notebooks  main  __pycache__  README.md  requirements.txt  setup.py  setup.sh  surgery_dict.json  version.py
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization/torchmodelopt$ jupyter notebook
pyenv: jupyter: command not found

The `jupyter' command exists in these Python versions:
  3.10.15/envs/benchmark
  3.10.15/envs/py310
  benchmark
  py310

Note: See 'pyenv help global' for tips on allowing both
      python2 and python3 to be found.
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization/torchmodelopt$ pip install jupyter noteboot
^CERROR: Operation cancelled by user

[notice] A new release of pip is available: 23.0.1 -> 24.3.1
[notice] To update, run: python -m pip install --upgrade pip
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization/torchmodelopt$ ^C
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization/torchmodelopt$ pip install jupyter notebook
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[notice] A new release of pip is available: 23.0.1 -> 24.3.1
[notice] To update, run: python -m pip install --upgrade pip
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization/torchmodelopt$ jupyter notebook
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[I 2024-11-27 09:15:25.642 LabApp] JupyterLab application directory is /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/share/jupyter/lab
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(py310) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modelmaker$ pyenv virtualenv 3.10  modelqt
(py310) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modelmaker$ pyenv activate modelqt 
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modelmaker$ cd .
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modelmaker$ cd ..
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti$ cd edgeai-m
edgeai-mmdetection/ edgeai-modelmaker/  edgeai-modelzoo/    
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti$ cd edgeai-m
edgeai-mmdetection/ edgeai-modelmaker/  edgeai-modelzoo/    
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti$ cd edgeai-
edgeai-benchmark/   edgeai-mmdetection/ edgeai-modelmaker/  edgeai-modelzoo/    edgeai-tidl-tools/  edgeai-torchvision/ edgeai-yolox/       
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti$ git clone https://github.com/TexasInstruments/edgeai-modeloptimization.git
Cloning into 'edgeai-modeloptimization'...
remote: Enumerating objects: 3890, done.
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remote: Compressing objects: 100% (385/385), done.
remote: Total 3890 (delta 1115), reused 1363 (delta 1059), pack-reused 2440 (from 1)
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(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti$ ls
edgeai-benchmark  edgeai-mmdetection  edgeai-modelmaker  edgeai-modeloptimization  edgeai-modelzoo  edgeai-tidl-tools  edgeai-torchvision  edgeai-yolox
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti$ cd edgeai-m
edgeai-mmdetection/       edgeai-modelmaker/        edgeai-modeloptimization/ edgeai-modelzoo/          
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti$ cd edgeai-m
edgeai-mmdetection/       edgeai-modelmaker/        edgeai-modeloptimization/ edgeai-modelzoo/          
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti$ cd edgeai-modeloptimization/
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization$ ls
LICENSE  README.md  torchmodelopt
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization$ pip3 install "git+https://github.com/TexasInstruments/edgeai-modeloptimization.git#subdirectory=torchmodelopt"
Collecting git+https://github.com/TexasInstruments/edgeai-modeloptimization.git#subdirectory=torchmodelopt
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Installing collected packages: progressbar, typing-extensions, torchinfo, six, pyyaml, pyparsing, pygments, protobuf, pillow, packaging, numpy, mdurl, kiwisolver, fonttools, cycler, colorama, scipy, python-dateutil, pydot, opencv-python, onnx, markdown-it-py, contourpy, rich, matplotlib, onnxsim, edgeai-torchmodelopt
  DEPRECATION: edgeai-torchmodelopt is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559
  Running setup.py install for edgeai-torchmodelopt ... done
Successfully installed colorama-0.4.6 contourpy-1.3.1 cycler-0.12.1 edgeai-torchmodelopt-10.0.0+532969 fonttools-4.55.0 kiwisolver-1.4.7 markdown-it-py-3.0.0 matplotlib-3.9.2 mdurl-0.1.2 numpy-2.1.3 onnx-1.17.0 onnxsim-0.4.36 opencv-python-4.10.0.84 packaging-24.2 pillow-11.0.0 progressbar-2.5 protobuf-5.28.3 pydot-3.0.2 pygments-2.18.0 pyparsing-3.2.0 python-dateutil-2.9.0.post0 pyyaml-6.0.2 rich-13.9.4 scipy-1.14.1 six-1.16.0 torchinfo-1.8.0 typing-extensions-4.12.2

[notice] A new release of pip is available: 23.0.1 -> 24.3.1
[notice] To update, run: python -m pip install --upgrade pip
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization$ cd 
.git/          torchmodelopt/ 
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization$ cd 
.git/          torchmodelopt/ 
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization$ cd 
.git/          torchmodelopt/ 
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization$ cd torchmodelopt/
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization/torchmodelopt$ ./setup.sh 
installing the pytorch model optimization toolkit...
version_file=/home/zxb/Desktop/ti/edgeai-modeloptimization/torchmodelopt/version.py
/home/zxb/.pyenv/versions/modelqt/lib/python3.10/site-packages/setuptools/dist.py:530: UserWarning: Normalizing '10.0.0+0532969' to '10.0.0+532969'
  warnings.warn(tmpl.format(**locals()))
running develop
/home/zxb/.pyenv/versions/modelqt/lib/python3.10/site-packages/setuptools/command/easy_install.py:144: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools.
  warnings.warn(
/home/zxb/.pyenv/versions/modelqt/lib/python3.10/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
  warnings.warn(
running egg_info
creating edgeai_torchmodelopt.egg-info
writing edgeai_torchmodelopt.egg-info/PKG-INFO
writing dependency_links to edgeai_torchmodelopt.egg-info/dependency_links.txt
writing requirements to edgeai_torchmodelopt.egg-info/requires.txt
writing top-level names to edgeai_torchmodelopt.egg-info/top_level.txt
writing manifest file 'edgeai_torchmodelopt.egg-info/SOURCES.txt'
reading manifest file 'edgeai_torchmodelopt.egg-info/SOURCES.txt'
writing manifest file 'edgeai_torchmodelopt.egg-info/SOURCES.txt'
running build_ext
Creating /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages/edgeai-torchmodelopt.egg-link (link to .)
Adding edgeai-torchmodelopt 10.0.0+532969 to easy-install.pth file

Installed /home/zxb/Desktop/ti/edgeai-modeloptimization/torchmodelopt
Processing dependencies for edgeai-torchmodelopt==10.0.0+532969
Searching for pydot==3.0.2
Best match: pydot 3.0.2
Adding pydot 3.0.2 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
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Best match: onnxsim 0.4.36
Adding onnxsim 0.4.36 to easy-install.pth file
Installing onnxsim script to /home/zxb/.pyenv/versions/modelqt/bin

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
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Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
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Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
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Adding progressbar 2.5 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
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Adding pyparsing 3.2.0 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
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Adding python-dateutil 2.9.0.post0 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
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Adding pillow 11.0.0 to easy-install.pth file

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Adding packaging 24.2 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
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Adding numpy 2.1.3 to easy-install.pth file
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Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
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Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Finished processing dependencies for edgeai-torchmodelopt==10.0.0+532969
For running demo, run demo/setup.sh otherwise ignore this message
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization/torchmodelopt$ ls
demo  docs  edgeai_torchmodelopt  edgeai_torchmodelopt.egg-info  example_notebooks  main  __pycache__  README.md  requirements.txt  setup.py  setup.sh  surgery_dict.json  version.py
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization/torchmodelopt$ jupyter notebook
pyenv: jupyter: command not found

The `jupyter' command exists in these Python versions:
  3.10.15/envs/benchmark
  3.10.15/envs/py310
  benchmark
  py310

Note: See 'pyenv help global' for tips on allowing both
      python2 and python3 to be found.
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization/torchmodelopt$ pip install jupyter noteboot
^CERROR: Operation cancelled by user

[notice] A new release of pip is available: 23.0.1 -> 24.3.1
[notice] To update, run: python -m pip install --upgrade pip
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization/torchmodelopt$ ^C
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization/torchmodelopt$ pip install jupyter notebook
Collecting jupyter
  Downloading jupyter-1.1.1-py2.py3-none-any.whl (2.7 kB)
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Installing collected packages: webencodings, wcwidth, pure-eval, ptyprocess, fastjsonschema, widgetsnbextension, websocket-client, webcolors, urllib3, uri-template, types-python-dateutil, traitlets, tornado, tomli, tinycss2, soupsieve, sniffio, send2trash, rpds-py, rfc3986-validator, rfc3339-validator, pyzmq, python-json-logger, pycparser, psutil, prompt-toolkit, prometheus-client, platformdirs, pexpect, parso, pandocfilters, overrides, nest-asyncio, mistune, markupsafe, jupyterlab-widgets, jupyterlab-pygments, jsonpointer, json5, idna, h11, fqdn, executing, exceptiongroup, defusedxml, decorator, debugpy, charset-normalizer, certifi, bleach, babel, attrs, async-lru, asttokens, terminado, stack-data, requests, referencing, matplotlib-inline, jupyter-core, jinja2, jedi, httpcore, comm, cffi, beautifulsoup4, arrow, anyio, jupyter-server-terminals, jupyter-client, jsonschema-specifications, isoduration, ipython, httpx, argon2-cffi-bindings, jsonschema, ipywidgets, ipykernel, argon2-cffi, nbformat, jupyter-console, nbclient, jupyter-events, nbconvert, jupyter-server, notebook-shim, jupyterlab-server, jupyter-lsp, jupyterlab, notebook, jupyter
Successfully installed anyio-4.6.2.post1 argon2-cffi-23.1.0 argon2-cffi-bindings-21.2.0 arrow-1.3.0 asttokens-2.4.1 async-lru-2.0.4 attrs-24.2.0 babel-2.16.0 beautifulsoup4-4.12.3 bleach-6.2.0 certifi-2024.8.30 cffi-1.17.1 charset-normalizer-3.4.0 comm-0.2.2 debugpy-1.8.9 decorator-5.1.1 defusedxml-0.7.1 exceptiongroup-1.2.2 executing-2.1.0 fastjsonschema-2.20.0 fqdn-1.5.1 h11-0.14.0 httpcore-1.0.7 httpx-0.27.2 idna-3.10 ipykernel-6.29.5 ipython-8.29.0 ipywidgets-8.1.5 isoduration-20.11.0 jedi-0.19.2 jinja2-3.1.4 json5-0.10.0 jsonpointer-3.0.0 jsonschema-4.23.0 jsonschema-specifications-2024.10.1 jupyter-1.1.1 jupyter-client-8.6.3 jupyter-console-6.6.3 jupyter-core-5.7.2 jupyter-events-0.10.0 jupyter-lsp-2.2.5 jupyter-server-2.14.2 jupyter-server-terminals-0.5.3 jupyterlab-4.2.6 jupyterlab-pygments-0.3.0 jupyterlab-server-2.27.3 jupyterlab-widgets-3.0.13 markupsafe-3.0.2 matplotlib-inline-0.1.7 mistune-3.0.2 nbclient-0.10.0 nbconvert-7.16.4 nbformat-5.10.4 nest-asyncio-1.6.0 notebook-7.2.2 notebook-shim-0.2.4 overrides-7.7.0 pandocfilters-1.5.1 parso-0.8.4 pexpect-4.9.0 platformdirs-4.3.6 prometheus-client-0.21.0 prompt-toolkit-3.0.48 psutil-6.1.0 ptyprocess-0.7.0 pure-eval-0.2.3 pycparser-2.22 python-json-logger-2.0.7 pyzmq-26.2.0 referencing-0.35.1 requests-2.32.3 rfc3339-validator-0.1.4 rfc3986-validator-0.1.1 rpds-py-0.21.0 send2trash-1.8.3 sniffio-1.3.1 soupsieve-2.6 stack-data-0.6.3 terminado-0.18.1 tinycss2-1.4.0 tomli-2.1.0 tornado-6.4.2 traitlets-5.14.3 types-python-dateutil-2.9.0.20241003 uri-template-1.3.0 urllib3-2.2.3 wcwidth-0.2.13 webcolors-24.11.1 webencodings-0.5.1 websocket-client-1.8.0 widgetsnbextension-4.0.13

[notice] A new release of pip is available: 23.0.1 -> 24.3.1
[notice] To update, run: python -m pip install --upgrade pip
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization/torchmodelopt$ jupyter notebook
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[I 2024-11-27 09:15:25.642 LabApp] JupyterLab application directory is /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/share/jupyter/lab
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[I 2024-11-27 09:15:25.687 ServerApp] Serving notebooks from local directory: /home/zxb/Desktop/ti/edgeai-modeloptimization/torchmodelopt
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(py310) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modelmaker$ pyenv virtualenv 3.10  modelqt
(py310) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modelmaker$ pyenv activate modelqt 
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modelmaker$ cd .
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modelmaker$ cd ..
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti$ cd edgeai-m
edgeai-mmdetection/ edgeai-modelmaker/  edgeai-modelzoo/    
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti$ cd edgeai-m
edgeai-mmdetection/ edgeai-modelmaker/  edgeai-modelzoo/    
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti$ cd edgeai-
edgeai-benchmark/   edgeai-mmdetection/ edgeai-modelmaker/  edgeai-modelzoo/    edgeai-tidl-tools/  edgeai-torchvision/ edgeai-yolox/       
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti$ git clone https://github.com/TexasInstruments/edgeai-modeloptimization.git
Cloning into 'edgeai-modeloptimization'...
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(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti$ ls
edgeai-benchmark  edgeai-mmdetection  edgeai-modelmaker  edgeai-modeloptimization  edgeai-modelzoo  edgeai-tidl-tools  edgeai-torchvision  edgeai-yolox
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti$ cd edgeai-m
edgeai-mmdetection/       edgeai-modelmaker/        edgeai-modeloptimization/ edgeai-modelzoo/          
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti$ cd edgeai-m
edgeai-mmdetection/       edgeai-modelmaker/        edgeai-modeloptimization/ edgeai-modelzoo/          
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti$ cd edgeai-modeloptimization/
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization$ ls
LICENSE  README.md  torchmodelopt
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization$ pip3 install "git+https://github.com/TexasInstruments/edgeai-modeloptimization.git#subdirectory=torchmodelopt"
Collecting git+https://github.com/TexasInstruments/edgeai-modeloptimization.git#subdirectory=torchmodelopt
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Installing collected packages: progressbar, typing-extensions, torchinfo, six, pyyaml, pyparsing, pygments, protobuf, pillow, packaging, numpy, mdurl, kiwisolver, fonttools, cycler, colorama, scipy, python-dateutil, pydot, opencv-python, onnx, markdown-it-py, contourpy, rich, matplotlib, onnxsim, edgeai-torchmodelopt
  DEPRECATION: edgeai-torchmodelopt is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559
  Running setup.py install for edgeai-torchmodelopt ... done
Successfully installed colorama-0.4.6 contourpy-1.3.1 cycler-0.12.1 edgeai-torchmodelopt-10.0.0+532969 fonttools-4.55.0 kiwisolver-1.4.7 markdown-it-py-3.0.0 matplotlib-3.9.2 mdurl-0.1.2 numpy-2.1.3 onnx-1.17.0 onnxsim-0.4.36 opencv-python-4.10.0.84 packaging-24.2 pillow-11.0.0 progressbar-2.5 protobuf-5.28.3 pydot-3.0.2 pygments-2.18.0 pyparsing-3.2.0 python-dateutil-2.9.0.post0 pyyaml-6.0.2 rich-13.9.4 scipy-1.14.1 six-1.16.0 torchinfo-1.8.0 typing-extensions-4.12.2

[notice] A new release of pip is available: 23.0.1 -> 24.3.1
[notice] To update, run: python -m pip install --upgrade pip
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization$ cd 
.git/          torchmodelopt/ 
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization$ cd 
.git/          torchmodelopt/ 
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization$ cd 
.git/          torchmodelopt/ 
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization$ cd torchmodelopt/
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization/torchmodelopt$ ./setup.sh 
installing the pytorch model optimization toolkit...
version_file=/home/zxb/Desktop/ti/edgeai-modeloptimization/torchmodelopt/version.py
/home/zxb/.pyenv/versions/modelqt/lib/python3.10/site-packages/setuptools/dist.py:530: UserWarning: Normalizing '10.0.0+0532969' to '10.0.0+532969'
  warnings.warn(tmpl.format(**locals()))
running develop
/home/zxb/.pyenv/versions/modelqt/lib/python3.10/site-packages/setuptools/command/easy_install.py:144: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools.
  warnings.warn(
/home/zxb/.pyenv/versions/modelqt/lib/python3.10/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
  warnings.warn(
running egg_info
creating edgeai_torchmodelopt.egg-info
writing edgeai_torchmodelopt.egg-info/PKG-INFO
writing dependency_links to edgeai_torchmodelopt.egg-info/dependency_links.txt
writing requirements to edgeai_torchmodelopt.egg-info/requires.txt
writing top-level names to edgeai_torchmodelopt.egg-info/top_level.txt
writing manifest file 'edgeai_torchmodelopt.egg-info/SOURCES.txt'
reading manifest file 'edgeai_torchmodelopt.egg-info/SOURCES.txt'
writing manifest file 'edgeai_torchmodelopt.egg-info/SOURCES.txt'
running build_ext
Creating /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages/edgeai-torchmodelopt.egg-link (link to .)
Adding edgeai-torchmodelopt 10.0.0+532969 to easy-install.pth file

Installed /home/zxb/Desktop/ti/edgeai-modeloptimization/torchmodelopt
Processing dependencies for edgeai-torchmodelopt==10.0.0+532969
Searching for pydot==3.0.2
Best match: pydot 3.0.2
Adding pydot 3.0.2 to easy-install.pth file

Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
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Adding onnxsim 0.4.36 to easy-install.pth file
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Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
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Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
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Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
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Adding pillow 11.0.0 to easy-install.pth file

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Using /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages
Finished processing dependencies for edgeai-torchmodelopt==10.0.0+532969
For running demo, run demo/setup.sh otherwise ignore this message
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization/torchmodelopt$ ls
demo  docs  edgeai_torchmodelopt  edgeai_torchmodelopt.egg-info  example_notebooks  main  __pycache__  README.md  requirements.txt  setup.py  setup.sh  surgery_dict.json  version.py
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization/torchmodelopt$ jupyter notebook
pyenv: jupyter: command not found

The `jupyter' command exists in these Python versions:
  3.10.15/envs/benchmark
  3.10.15/envs/py310
  benchmark
  py310

Note: See 'pyenv help global' for tips on allowing both
      python2 and python3 to be found.
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization/torchmodelopt$ pip install jupyter noteboot
^CERROR: Operation cancelled by user

[notice] A new release of pip is available: 23.0.1 -> 24.3.1
[notice] To update, run: python -m pip install --upgrade pip
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization/torchmodelopt$ ^C
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization/torchmodelopt$ pip install jupyter notebook
Collecting jupyter
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Installing collected packages: webencodings, wcwidth, pure-eval, ptyprocess, fastjsonschema, widgetsnbextension, websocket-client, webcolors, urllib3, uri-template, types-python-dateutil, traitlets, tornado, tomli, tinycss2, soupsieve, sniffio, send2trash, rpds-py, rfc3986-validator, rfc3339-validator, pyzmq, python-json-logger, pycparser, psutil, prompt-toolkit, prometheus-client, platformdirs, pexpect, parso, pandocfilters, overrides, nest-asyncio, mistune, markupsafe, jupyterlab-widgets, jupyterlab-pygments, jsonpointer, json5, idna, h11, fqdn, executing, exceptiongroup, defusedxml, decorator, debugpy, charset-normalizer, certifi, bleach, babel, attrs, async-lru, asttokens, terminado, stack-data, requests, referencing, matplotlib-inline, jupyter-core, jinja2, jedi, httpcore, comm, cffi, beautifulsoup4, arrow, anyio, jupyter-server-terminals, jupyter-client, jsonschema-specifications, isoduration, ipython, httpx, argon2-cffi-bindings, jsonschema, ipywidgets, ipykernel, argon2-cffi, nbformat, jupyter-console, nbclient, jupyter-events, nbconvert, jupyter-server, notebook-shim, jupyterlab-server, jupyter-lsp, jupyterlab, notebook, jupyter
Successfully installed anyio-4.6.2.post1 argon2-cffi-23.1.0 argon2-cffi-bindings-21.2.0 arrow-1.3.0 asttokens-2.4.1 async-lru-2.0.4 attrs-24.2.0 babel-2.16.0 beautifulsoup4-4.12.3 bleach-6.2.0 certifi-2024.8.30 cffi-1.17.1 charset-normalizer-3.4.0 comm-0.2.2 debugpy-1.8.9 decorator-5.1.1 defusedxml-0.7.1 exceptiongroup-1.2.2 executing-2.1.0 fastjsonschema-2.20.0 fqdn-1.5.1 h11-0.14.0 httpcore-1.0.7 httpx-0.27.2 idna-3.10 ipykernel-6.29.5 ipython-8.29.0 ipywidgets-8.1.5 isoduration-20.11.0 jedi-0.19.2 jinja2-3.1.4 json5-0.10.0 jsonpointer-3.0.0 jsonschema-4.23.0 jsonschema-specifications-2024.10.1 jupyter-1.1.1 jupyter-client-8.6.3 jupyter-console-6.6.3 jupyter-core-5.7.2 jupyter-events-0.10.0 jupyter-lsp-2.2.5 jupyter-server-2.14.2 jupyter-server-terminals-0.5.3 jupyterlab-4.2.6 jupyterlab-pygments-0.3.0 jupyterlab-server-2.27.3 jupyterlab-widgets-3.0.13 markupsafe-3.0.2 matplotlib-inline-0.1.7 mistune-3.0.2 nbclient-0.10.0 nbconvert-7.16.4 nbformat-5.10.4 nest-asyncio-1.6.0 notebook-7.2.2 notebook-shim-0.2.4 overrides-7.7.0 pandocfilters-1.5.1 parso-0.8.4 pexpect-4.9.0 platformdirs-4.3.6 prometheus-client-0.21.0 prompt-toolkit-3.0.48 psutil-6.1.0 ptyprocess-0.7.0 pure-eval-0.2.3 pycparser-2.22 python-json-logger-2.0.7 pyzmq-26.2.0 referencing-0.35.1 requests-2.32.3 rfc3339-validator-0.1.4 rfc3986-validator-0.1.1 rpds-py-0.21.0 send2trash-1.8.3 sniffio-1.3.1 soupsieve-2.6 stack-data-0.6.3 terminado-0.18.1 tinycss2-1.4.0 tomli-2.1.0 tornado-6.4.2 traitlets-5.14.3 types-python-dateutil-2.9.0.20241003 uri-template-1.3.0 urllib3-2.2.3 wcwidth-0.2.13 webcolors-24.11.1 webencodings-0.5.1 websocket-client-1.8.0 widgetsnbextension-4.0.13

[notice] A new release of pip is available: 23.0.1 -> 24.3.1
[notice] To update, run: python -m pip install --upgrade pip
(modelqt) zxb@zxb-virtual-machine:~/Desktop/ti/edgeai-modeloptimization/torchmodelopt$ jupyter notebook
[I 2024-11-27 09:15:25.430 ServerApp] jupyter_lsp | extension was successfully linked.
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[I 2024-11-27 09:15:25.441 ServerApp] notebook | extension was successfully linked.
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[I 2024-11-27 09:15:25.642 LabApp] JupyterLab extension loaded from /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages/jupyterlab
[I 2024-11-27 09:15:25.642 LabApp] JupyterLab application directory is /home/zxb/.pyenv/versions/3.10.15/envs/modelqt/share/jupyter/lab
[I 2024-11-27 09:15:25.642 LabApp] Extension Manager is 'pypi'.
[I 2024-11-27 09:15:25.684 ServerApp] jupyterlab | extension was successfully loaded.
[I 2024-11-27 09:15:25.687 ServerApp] notebook | extension was successfully loaded.
[I 2024-11-27 09:15:25.687 ServerApp] Serving notebooks from local directory: /home/zxb/Desktop/ti/edgeai-modeloptimization/torchmodelopt
[I 2024-11-27 09:15:25.687 ServerApp] Jupyter Server 2.14.2 is running at:
[I 2024-11-27 09:15:25.687 ServerApp] http://localhost:8888/tree?token=2dda5426d362ed78c76d3a605962e33c999da7fcebfac9c1
[I 2024-11-27 09:15:25.687 ServerApp]     http://127.0.0.1:8888/tree?token=2dda5426d362ed78c76d3a605962e33c999da7fcebfac9c1
[I 2024-11-27 09:15:25.687 ServerApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 2024-11-27 09:15:25.711 ServerApp] 
    
    To access the server, open this file in a browser:
        file:///home/zxb/.local/share/jupyter/runtime/jpserver-231775-open.html
    Or copy and paste one of these URLs:
        http://localhost:8888/tree?token=2dda5426d362ed78c76d3a605962e33c999da7fcebfac9c1
        http://127.0.0.1:8888/tree?token=2dda5426d362ed78c76d3a605962e33c999da7fcebfac9c1
[I 2024-11-27 09:15:25.726 ServerApp] Skipped non-installed server(s): bash-language-server, dockerfile-language-server-nodejs, javascript-typescript-langserver, jedi-language-server, julia-language-server, pyright, python-language-server, python-lsp-server, r-languageserver, sql-language-server, texlab, typescript-language-server, unified-language-server, vscode-css-languageserver-bin, vscode-html-languageserver-bin, vscode-json-languageserver-bin, yaml-language-server

[W 2024-11-27 09:15:46.246 ServerApp] Notebook example_notebooks/quantization_ptc.ipynb is not trusted
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model =  edgeai_torchmodelopt.xmodelopt.quantization.v2.PTCFxModule(model,backend='qnnpack', bias_calibration_factor=0.01, num_batch_norm_update_epochs=1, num_observer_update_epochs=2)
---------------------------------------------------------------------------




TypeError                                 Traceback (most recent call last)
Cell In[21], line 1
----> 1 model = edgeai_torchmodelopt.xmodelopt.quantization.v2.PTCFxModule(model, backend='qnnpack', bias_calibration_factor=0.01, num_batch_norm_update_epochs=1, num_observer_update_epochs=2)

File ~/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages/edgeai_torchmodelopt/xmodelopt/quantization/v2/quant_module.py:51, in PTCFxModule.__init__(self, backend, is_qat, bias_calibration_factor, num_batch_norm_update_epochs, num_observer_update_epochs, *args, **kwargs)
     49 def __init__(self, *args, backend='qnnpack', is_qat=False, bias_calibration_factor=0.01, num_batch_norm_update_epochs=0, num_observer_update_epochs=1, **kwargs):
     50     # warnings.warn("Fx based quantization wrapper will be depercated in the future after pt2e quantization wrapper is completed.")
---> 51     super().__init__(*args, is_qat=is_qat, backend=backend, bias_calibration_factor=bias_calibration_factor, \
     52         num_batch_norm_update_epochs=num_batch_norm_update_epochs, num_observer_update_epochs=num_observer_update_epochs, **kwargs)

File ~/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages/edgeai_torchmodelopt/xmodelopt/quantization/v2/quant_base.py:45, in QuantFxBaseModule.__init__(self, model, add_methods, *args, **kwargs)
     38 '''
     39 model: input model to be used for QAT / PTC
     40 qconfig_type: qconfig_type can be one of the modes defined in qconfig_types (string)
     41     or it can be a dict that will be passed to qconfig_types.get_config_from_dict()
     42     it can also be an instance of torch.ao.quantization.QConfig as used when using torch.ao.quantization apis
     43 '''
     44 super().__init__()
---> 45 self.module = quant_func.init(model, *args, add_methods=add_methods, **kwargs)

File ~/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages/edgeai_torchmodelopt/xmodelopt/quantization/v2/quant_func.py:135, in init(model, qconfig_type, example_inputs, is_qat, backend, total_epochs, num_batch_norm_update_epochs, num_observer_update_epochs, qconfig_mode, add_methods, dynamo_export, **kwargs)
    133 else:
    134     model.eval()
--> 135     model = quantize_fx.prepare_fx(model, qconfig_mapping, example_inputs)
    136 #
    137 
    138 # a place to put all state variables
    139 model.__quant_params__ = xnn.utils.AttrDict()

File ~/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py:392, in prepare_fx(model, qconfig_mapping, example_inputs, prepare_custom_config, _equalization_config, backend_config)
    260 r""" Prepare a model for post training quantization
    261 
    262 Args:
   (...)
    389     calibrate(prepared_model, sample_inference_data)
    390 """
    391 torch._C._log_api_usage_once("quantization_api.quantize_fx.prepare_fx")
--> 392 return _prepare_fx(
    393     model,
    394     qconfig_mapping,
    395     False,  # is_qat
    396     example_inputs,
    397     prepare_custom_config,
    398     _equalization_config,
    399     backend_config,
    400 )

File ~/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py:146, in _prepare_fx(model, qconfig_mapping, is_qat, example_inputs, prepare_custom_config, _equalization_config, backend_config, is_standalone_module)
    142 fuse_custom_config = FuseCustomConfig().set_preserved_attributes(
    143     prepare_custom_config.preserved_attributes
    144 )
    145 graph_module = _fuse_fx(graph_module, is_qat, fuse_custom_config, backend_config)
--> 146 prepared = prepare(
    147     graph_module,
    148     qconfig_mapping,
    149     is_qat,
    150     tracer.node_name_to_scope,
    151     example_inputs=example_inputs,
    152     prepare_custom_config=prepare_custom_config,
    153     _equalization_config=_equalization_config,
    154     backend_config=backend_config,
    155     is_standalone_module=is_standalone_module,
    156 )  # type: ignore[operator]
    158 attach_preserved_attrs_to_model(prepared, preserved_attrs)
    159 return prepared

File ~/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages/torch/ao/quantization/fx/prepare.py:2148, in prepare(model, qconfig_mapping, is_qat, node_name_to_scope, example_inputs, prepare_custom_config, _equalization_config, backend_config, is_standalone_module)
   2143 # record names for the set of observed node, so that in convert step
   2144 # we know whether we need to convert a floating point module to reference
   2145 # quantized module or not
   2146 observed_node_names: Set[str] = set()
-> 2148 result_node = insert_observers_for_model(
   2149     model,
   2150     node_name_to_match_result_with_qconfig,
   2151     node_name_to_qconfig,
   2152     prepare_custom_config,
   2153     equalization_node_name_to_qconfig,
   2154     backend_config,
   2155     observed_node_names,
   2156     is_qat,
   2157 )
   2158 model = GraphModule(model, model.graph)
   2160 _save_state(
   2161     model,
   2162     node_name_to_qconfig,
   (...)
   2168     observed_node_names,
   2169 )

File ~/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages/torch/ao/quantization/fx/prepare.py:1548, in insert_observers_for_model(model, node_name_to_match_result_with_qconfig, node_name_to_qconfig, prepare_custom_config, equalization_config_map, backend_config, observed_node_names, is_qat)
   1540     (
   1541         last_node,
   1542         matched_node_pattern,
   (...)
   1545         qconfig,
   1546     ) = match_res_with_qconfig
   1547     assert qhandler is not None
-> 1548     _set_target_dtype_info_for_matched_node_pattern(
   1549         matched_node_pattern,
   1550         last_node,
   1551         qconfig,
   1552         qhandler,
   1553         backend_config,
   1554         named_modules,
   1555         cache_for_no_tensor_check,
   1556         processed_nodes,
   1557     )
   1559 # Step 2. Special cases for some operators, we might be able to remove them
   1560 # in the future if we know dtype information of each node better
   1561 
   1562 # Step 2.1. some settings are not based on patterns, we need to process each node
   1563 # instead
   1564 for node in model.graph.nodes:

File ~/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages/torch/ao/quantization/fx/prepare.py:520, in _set_target_dtype_info_for_matched_node_pattern(matched_node_pattern, last_node, qconfig, qhandler, backend_config, named_modules, cache_for_no_tensor_check, processed_nodes)
    518 if isinstance(matched_node_pattern, (list, tuple)):
    519     for node_pattern in matched_node_pattern:
--> 520         _set_target_dtype_info_for_matched_node_pattern(
    521             node_pattern,
    522             last_node,
    523             qconfig,
    524             qhandler,
    525             backend_config,
    526             named_modules,
    527             cache_for_no_tensor_check,
    528             processed_nodes,
    529         )
    531 # set target_dtype_info if matched_node_pattern is a Node
    532 # other types of matched object, e.g. int, float literals, are ignored
    533 elif isinstance(matched_node_pattern, Node):
    534     # for pyre

File ~/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages/torch/ao/quantization/fx/prepare.py:549, in _set_target_dtype_info_for_matched_node_pattern(matched_node_pattern, last_node, qconfig, qhandler, backend_config, named_modules, cache_for_no_tensor_check, processed_nodes)
    542     return
    543 # TODO: refactor the following code in terms of apply a qconfig to a pattern
    544 # e.g. for a pattern with op1 -> op2 -> op3, and qconfig = QConfig(input_act=obs0, output_act=obs1)
    545 # we set the input_obs_or_fq_ctr for the arguments of op1 to based on qconfig.input_act,
    546 # and set output_obs_or_fq_ctr based on qconfig.output_act
    547 # this also requires we extend the structure of QConfig to support more fine
    548 # grained configurations
--> 549 target_dtype_info: Dict[str, Any] = _get_target_activation_dtype_for_node(
    550     node,
    551     qconfig,
    552     qhandler,
    553     named_modules,
    554     backend_config,
    555     cache_for_no_tensor_check,
    556 )
    557 node.meta["target_dtype_info"] = target_dtype_info

File ~/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages/torch/ao/quantization/fx/prepare.py:602, in _get_target_activation_dtype_for_node(node, qconfig, qhandler, named_modules, backend_config, cache_for_no_tensor_check)
    600 # get qconfig to determine the eventual dtype of this node
    601 if qconfig is not None:
--> 602     act_dtype, weight_dtype, input_act_is_dynamic = get_qconfig_dtypes(qconfig)
    604     # Currently `QConfig` only has one `activation` field.
    605     # For static quantization, it is reused for both input
    606     # and output activation. For dynamic quantization, this
   (...)
    609     # In the future this may change as we add more fields
    610     # to the `QConfig` object.
    611     output_act_dtype = act_dtype if (not input_act_is_dynamic) else torch.float

File ~/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages/torch/ao/quantization/utils.py:352, in get_qconfig_dtypes(qconfig)
    348 r"""returns the qconfig tuple for qconfig:
    349 (activation_dtype, weight_dtype, activation_is_dynamic)
    350 """
    351 assert qconfig is not None
--> 352 activation = qconfig.activation()
    353 weight = qconfig.weight()
    354 act_is_dynamic = getattr(activation, "is_dynamic", False)

File ~/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages/torch/ao/quantization/observer.py:71, in _PartialWrapper.__call__(self, *args, **keywords)
     69     if arg_name not in keywords:
     70         keywords = {**keywords, arg_name: self.callable_args[arg_name]()}
---> 71 return self.p(*args, **keywords)

File ~/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages/edgeai_torchmodelopt/xmodelopt/quantization/v2/fake_quantize_types.py:44, in AdaptiveFakeQuantize.__init__(self, *args, **kwargs)
     43 def __init__(self, *args, **kwargs):
---> 44     super().__init__(*args, **kwargs)
     45     self.detect_change = False
     46     self.smooth_change = True

File ~/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages/torch/ao/quantization/fake_quantize.py:194, in FakeQuantize.__init__(self, observer, quant_min, quant_max, is_dynamic, **observer_kwargs)
    192     observer_kwargs.update({"quant_min": quant_min, "quant_max": quant_max})
    193 observer_kwargs["is_dynamic"] = is_dynamic
--> 194 self.activation_post_process = observer(**observer_kwargs)
    195 # TODO: keeping self.quant_min/max for BC; remove after a couple releases
    196 # Users should use self.activation_post_process.quant_min
    197 self.quant_min = self.activation_post_process.quant_min

File ~/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages/edgeai_torchmodelopt/xmodelopt/quantization/v2/observer_types.py:140, in AdaptiveActivationObserver.__init__(self, quant_min, quant_max, dtype, qscheme, power2_scale, range_max, fixed_range, *args, **kwargs)
    139 def __init__(self, *args, quant_min=0, quant_max=255, dtype=torch.quint8, qscheme=torch.per_tensor_affine, power2_scale=False, range_max=None, fixed_range=False, **kwargs):
--> 140     super().__init__(*args, quant_min=quant_min, quant_max=quant_max, dtype=dtype, qscheme=qscheme, **kwargs)
    141     self.symmetric = (qscheme == torch.per_tensor_symmetric) #(qscheme in (torch.per_channel_symmetric, torch.per_tensor_symmetric))
    142     self.power2_scale = power2_scale

File ~/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages/edgeai_torchmodelopt/xmodelopt/quantization/v2/observer_utils.py:72, in CumulativeMSEHistogramObserver.__init__(self, range_shrink_percentile, fast_mode, *args, **kwargs)
     71 def __init__(self, *args, range_shrink_percentile=None, fast_mode=False, **kwargs):
---> 72     super().__init__(*args, bins=256, upsample_rate=16, **kwargs)
     73     self.fast_mode = fast_mode

File ~/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages/torch/ao/quantization/observer.py:1007, in HistogramObserver.__init__(self, bins, dtype, qscheme, reduce_range, quant_min, quant_max, factory_kwargs, eps, is_dynamic, **kwargs)
   1003     raise NotImplementedError(
   1004         "HistogramObserver doesn't support dynamic quantization"
   1005     )
   1006 # bins: The number of bins used for histogram calculation.
-> 1007 super().__init__(
   1008     dtype=dtype,
   1009     qscheme=qscheme,
   1010     reduce_range=reduce_range,
   1011     quant_min=quant_min,
   1012     quant_max=quant_max,
   1013     factory_kwargs=factory_kwargs,
   1014     eps=eps,
   1015     is_dynamic=is_dynamic,
   1016     **kwargs,
   1017 )
   1018 factory_kwargs = torch.nn.factory_kwargs(factory_kwargs)
   1019 self.bins = bins

File ~/.pyenv/versions/3.10.15/envs/modelqt/lib/python3.10/site-packages/torch/ao/quantization/observer.py:226, in UniformQuantizationObserverBase.__init__(self, dtype, qscheme, reduce_range, quant_min, quant_max, factory_kwargs, eps, is_dynamic, **kwargs)
    213 def __init__(
    214     self,
    215     dtype=torch.quint8,
   (...)
    223     **kwargs,
    224 ) -> None:
    225     factory_kwargs = torch.nn.factory_kwargs(factory_kwargs)
--> 226     super().__init__(dtype=dtype, is_dynamic=is_dynamic, **kwargs)
    227     self.qscheme = qscheme
    228     if reduce_range:

TypeError: ObserverBase.__init__() got an unexpected keyword argument 'upsample_rate'