Preparing metadata (setup.py) ... done
Preparing metadata (setup.py) ... done
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 54.6/54.6 kB 7.8 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 307.7/307.7 kB 36.7 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 69.3 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 311.2/311.2 kB 30.3 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.6/1.6 MB 86.6 MB/s eta 0:00:00
Building wheel for avro-python3 (setup.py) ... done
Building wheel for crepe (setup.py) ... done
error: subprocess-exited-with-error
× python setup.py bdist_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.
Building wheel for numba (setup.py) ... error
ERROR: Failed building wheel for numba
Building wheel for cloudml-hypertune (setup.py) ... done
Building wheel for mir-eval (setup.py) ... done
Building wheel for crcmod (setup.py) ... done
Building wheel for dill (setup.py) ... done
Building wheel for hdfs (setup.py) ... done
Building wheel for intervaltree (setup.py) ... done
error: subprocess-exited-with-error
× python setup.py bdist_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.
Building wheel for llvmlite (setup.py) ... error
ERROR: Failed building wheel for llvmlite
Building wheel for pretty-midi (setup.py) ... done
Building wheel for resampy (setup.py) ... done
Building wheel for pyjsparser (setup.py) ... done
Building wheel for docopt (setup.py) ... done
ERROR: Could not build wheels for numba, llvmlite, which is required to install pyproject.toml-based projects
I'm seeing this warning in the output as well:
WARNING: Generating metadata for package tfds-nightly produced metadata for project name tensorflow-datasets. Fix your #egg=tfds-nightly fragments.
tried to run this on Colab:
https://github.com/magenta/ddsp/blob/main/ddsp/colab/demos/train_autoencoder.ipynb
it doesn't work.
I'm seeing this warning in the output as well:
Might be related to #514