Error while installing pynq-sklearn

Support
1

I am using Pynq 3.0.1, The board I am using is pynq Z2. I am trying to implement linear regression and polynomial regression on the pl. I keep getting the following error when I try to install pynq-sklearn.
This is the code I used

!sudo pip3 install git+https://github.com/sfox14/pynq-sklearn.git

And this is what I get

Collecting git+https://github.com/sfox14/pynq-sklearn.git
  Cloning https://github.com/sfox14/pynq-sklearn.git to /tmp/pip-req-build-m00bxh8g
  Running command git clone --filter=blob:none --quiet https://github.com/sfox14/pynq-sklearn.git /tmp/pip-req-build-m00bxh8g
  Resolved https://github.com/sfox14/pynq-sklearn.git to commit 90819d812578235c84246d31fb134d440c73cf0b
  Installing build dependencies ... done
  Getting requirements to build wheel ... error
  error: subprocess-exited-with-error
  
  × Getting requirements to build wheel did not run successfully.
  │ exit code: 1
  ╰─> [22 lines of output]
      Traceback (most recent call last):
        File "/usr/local/share/pynq-venv/lib/python3.10/site-packages/pip/_vendor/pep517/in_process/_in_process.py", line 363, in <module>
          main()
        File "/usr/local/share/pynq-venv/lib/python3.10/site-packages/pip/_vendor/pep517/in_process/_in_process.py", line 345, in main
          json_out['return_val'] = hook(**hook_input['kwargs'])
        File "/usr/local/share/pynq-venv/lib/python3.10/site-packages/pip/_vendor/pep517/in_process/_in_process.py", line 130, in get_requires_for_build_wheel
          return hook(config_settings)
        File "/usr/lib/python3/dist-packages/setuptools/build_meta.py", line 162, in get_requires_for_build_wheel
          return self._get_build_requires(
        File "/usr/lib/python3/dist-packages/setuptools/build_meta.py", line 143, in _get_build_requires
          self.run_setup()
        File "/usr/lib/python3/dist-packages/setuptools/build_meta.py", line 267, in run_setup
          super(_BuildMetaLegacyBackend,
        File "/usr/lib/python3/dist-packages/setuptools/build_meta.py", line 158, in run_setup
          exec(compile(code, __file__, 'exec'), locals())
        File "setup.py", line 7, in <module>
          import pynq_sklearn
        File "/tmp/pip-req-build-m00bxh8g/pynq_sklearn/__init__.py", line 2, in <module>
          from .base import PynqMixin
        File "/tmp/pip-req-build-m00bxh8g/pynq_sklearn/base.py", line 1, in <module>
          from pynq import Overlay, PL, Xlnk
      ModuleNotFoundError: No module named 'pynq'
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
error: subprocess-exited-with-error

× Getting requirements to build wheel did not run successfully.
│ exit code: 1
╰─> See above for output.

note: This error originates from a subprocess, and is likely not a problem with pip.

I thought it was becase pynq wasn’t installed, but pynq is installed on the board.
I am new to this, so it would be great if anyone of you could help me with this.
The project I am working on is the implementation of linear regression and polynomial regression on pynq z2 . So if there are any resources on doing it, it would be great if you could send it please.
Thank you for your time.

1 Like
2

Please note that Xlnk() is obsolete since PYNQ v2.5. And the pynq-sklearn repository, as said in its README.md, should be only used with PYNQ v2.1.

3

Okay so in order to build a linear regression model on the pl, is there no other way to do it?

4

You can use Vitis HLS to write your own linear regression IP.

Specifically, you can use Vitis HLS to turn your C++ code into RTL design and pack it into an IP. Then, you can integrate the IP into your hardware system in Vivado, and export a bitstream file. Finally, you can download the bitstream to PL and access your IP from PS using the PYNQ library.

5

Do you know where I can get PYNQ Z2 v2.1 from? I do not have the time to design the ip since my project is due this week. It would be of great help if someone could help me with it.

6

You can take a look at PYNQ/boards at image_v2.1 · Xilinx/PYNQ · GitHub.

However, there was only BSP files for PYNQ-Z1, not PYNQ-Z2. PYNQ-Z2 BSP files were not present until v2.2. Also, the git repo GitHub - sfox14/pynq-sklearn: Library for PYNQ-based ML accelerators was designed for PYNQ-Z1.

So I guess there’s no way around. Maybe you can try with PYNQ v2.2, though I don’t think it is a good idea to use such legacy versions.

Anyway, good luck with your project. I’d recommend HLS, which is fast and easy to use.