* Update train_nsf_sim_cache_sid_load_pretrain.py
patch to unblock cpu training. CPU training took ~12 hours for me.
* Update train_nsf_sim_cache_sid_load_pretrain.py
Co-authored-by: Nato Boram <NatoBoram@users.noreply.github.com>
---------
Co-authored-by: 源文雨 <41315874+fumiama@users.noreply.github.com>
Co-authored-by: Nato Boram <NatoBoram@users.noreply.github.com>
× Building wheel for pyworld (pyproject.toml) 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 pyworld (pyproject.toml) ... error
ERROR: Failed building wheel for pyworld
Building wheel for antlr4-python3-runtime (setup.py) ... done
Created wheel for antlr4-python3-runtime: filename=antlr4_python3_runtime-4.8-py3-none-any.whl size=141210 sha256=e81137dc4dd676c814cbce5303bf5b687232f3bd7861df8d666cfe05ae199b3e
Stored in directory: /root/.cache/pip/wheels/a7/20/bd/e1477d664f22d99989fd28ee1a43d6633dddb5cb9e801350d5
Successfully built fairseq antlr4-python3-runtime
Failed to build pyworld
ERROR: Could not build wheels for pyworld, which is required to install pyproject.toml-based projects
The conflict is caused by:
The user requested starlette>=0.25.0
fastapi 0.88.0 depends on starlette==0.22.0
fastapi 0.88.0 package will resolve dependency automatically, remove the starlette>=0.25.0 will fix the conflict.
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
lightning 2.0.2 requires fastapi<0.89.0,>=0.69.0, but you have fastapi 0.100.0 which is incompatible.
so-vits-svc-fork 3.14.1 requires fastapi==0.88, but you have fastapi 0.100.0 which is incompatible.
