numpy 1.24.1 incompatible with numba

SteveC commented 1 year ago

I do

python3 setup.py install

Ubuntu 22.10

Installed /usr/local/lib/python3.10/dist-packages/TorToiSe-2.4.2-py3.10.egg
Processing dependencies for TorToiSe==2.4.2
Searching for numpy>=1.17
Reading https://pypi.org/simple/numpy/
/usr/lib/python3/dist-packages/pkg_resources/__init__.py:116: PkgResourcesDeprecationWarning:  is an invalid version and will not be supported in a future release
  warnings.warn(
Downloading https://files.pythonhosted.org/packages/3d/17/2cc40e1ed44f37b0bab7d62e0c6ba88362da23f48e52833ffdd1b9dfc220/numpy-1.24.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=0e3463e6ac25313462e04aea3fb8a0a30fb906d5d300f58b3bc2c23da6a15398
Best match: numpy 1.24.1
Processing numpy-1.24.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Installing numpy-1.24.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /usr/local/lib/python3.10/dist-packages
Adding numpy 1.24.1 to easy-install.pth file
Installing f2py script to /usr/local/bin
Installing f2py3 script to /usr/local/bin
Installing f2py3.10 script to /usr/local/bin

Installed /usr/local/lib/python3.10/dist-packages/numpy-1.24.1-py3.10-linux-x86_64.egg
error: numpy 1.24.1 is installed but numpy<1.24,>=1.18 is required by {'numba'}

ilovefreesw commented 1 year ago

Same on Windows 11 in Virtual Env

removing 'd:\tortoise-tts\lib\site-packages\TorToiSe-2.4.2-py3.10.egg' (and everything under it)
creating d:\tortoise-tts\lib\site-packages\TorToiSe-2.4.2-py3.10.egg
Extracting TorToiSe-2.4.2-py3.10.egg to d:\tortoise-tts\lib\site-packages
TorToiSe 2.4.2 is already the active version in easy-install.pth
Installing tortoise_tts.py script to D:\tortoise-tts\Scripts

Installed d:\tortoise-tts\lib\site-packages\tortoise-2.4.2-py3.10.egg
Processing dependencies for TorToiSe==2.4.2
Searching for numpy>=1.17
Reading https://pypi.org/simple/numpy/
D:\tortoise-tts\lib\site-packages\pkg_resources\__init__.py:123: PkgResourcesDeprecationWarning:  is an invalid version and will not be supported in a future release
  warnings.warn(
Downloading https://files.pythonhosted.org/packages/ee/70/c9055fe381e9e5103222e2f5efeb0cfb4524ab3c7d75b4eedc330380f9f5/numpy-1.24.1-cp310-cp310-win_amd64.whl#sha256=b07b40f5fb4fa034120a5796288f24c1fe0e0580bbfff99897ba6267af42def2
Best match: numpy 1.24.1
Processing numpy-1.24.1-cp310-cp310-win_amd64.whl
Installing numpy-1.24.1-cp310-cp310-win_amd64.whl to d:\tortoise-tts\lib\site-packages
Adding numpy 1.24.1 to easy-install.pth file
Installing f2py-script.py script to D:\tortoise-tts\Scripts
Installing f2py.exe script to D:\tortoise-tts\Scripts

Installed d:\tortoise-tts\lib\site-packages\numpy-1.24.1-py3.10-win-amd64.egg
error: numpy 1.24.1 is installed but numpy<1.24,>=1.18 is required by {'numba'}

SteveC commented 1 year ago

FWIW I am halfway there by

Installing pyenv
install 3.9.0 (dont ask but 3.8.16 and 3.9.16 and 3.10.x seem to have other issues
install numpy==1.2.23
run the first two cell from the tortoise-tts.ipynb repeatedly, killing jupyter each time so that it reloads whatever magic is required that is installed/downloaded each time
ln -s tortoise-tts/tortoise because it also wants to be in that directory despite downloading it there and can't find files otherwise

I don't have it working yet, it's still downloading tons of stuff but some progress...

ilovefreesw commented 1 year ago

I added numpy<1.24,>=1.18 in the requirements.txt file and before running python setup.py install, i ran pip install numpy<1.24,>=1.18

It worked after that, but took more than 25 mins to execute the sample command in the README.

god-s-perfect-idiot commented 1 year ago

i have the same exact issue but @ilovefreesw's fix didnt work for me. Using ubuntu 20.04.

sbersier commented 1 year ago

The requirements.txt file insists on having numpy==1.20.0 and numba==0.48.0 Which posed problems in my case. So, I simply removed these version requirements.

Note: 1) I'm using Ubuntu 22.04 with python 3.10.9. 2) I created a conda environnment (named TTS) with python 3.10.9 3) I conda installed torch, torchaudio and torchvision according to https://pytorch.org/get-started/locally/ (cuda11.6, 1.13.0+cu116) (see below for the complete list of packages installed in my environnment)

But, in requirements.txt, I replaced the two following lines:

numpy==1.20.0
numba==0.48.0

with:

numpy
numba

Then, python -m pip install -r ./requirements.txt. Without specifying the versions, pip decided to install numpy 1.23.5 and numba 0.55.2 and it worked.

For completeness: I give the result of conda list:

# packages in environment at /home/steph/anaconda3/envs/TTS:
#
# Name                    Version                   Build  Channel
_libgcc_mutex             0.1                        main  
_openmp_mutex             5.1                       1_gnu  
blas                              1.0                         mkl  
brotlipy                      0.7.0           py310h7f8727e_1002  
bzip2                          1.0.8                h7b6447c_0  
ca-certificates       2023.01.10           h06a4308_0  
certifi                     2022.12.7       py310h06a4308_0  
cffi                             1.15.1          py310h5eee18b_3  
charset-normalizer  2.0.4              pyhd3eb1b0_0  
cryptography          38.0.4          py310h9ce1e76_0  
cuda                         11.6.1                        0    nvidia
cuda-cccl                11.6.55              hf6102b2_0    nvidia
cuda-command-line-tools   11.6.2                        0    nvidia
cuda-compiler        11.6.2                        0    nvidia
cuda-cudart            11.6.55              he381448_0    nvidia
cuda-cudart-dev      11.6.55              h42ad0f4_0    nvidia
cuda-cuobjdump      11.6.124             h2eeebcb_0    nvidia
cuda-cupti                11.6.124             h86345e5_0    nvidia
cuda-cuxxfilt             11.6.124             hecbf4f6_0    nvidia
cuda-driver-dev       11.6.55                       0    nvidia
cuda-gdb                  12.0.90                       0    nvidia
cuda-libraries            11.6.1                        0    nvidia
cuda-libraries-dev        11.6.1                        0    nvidia
cuda-memcheck             11.8.86                       0    nvidia
cuda-nsight               12.0.78                       0    nvidia
cuda-nsight-compute       12.0.0                        0    nvidia
cuda-nvcc                 11.6.124             hbba6d2d_0    nvidia
cuda-nvdisasm             12.0.76                       0    nvidia
cuda-nvml-dev             11.6.55              haa9ef22_0    nvidia
cuda-nvprof               12.0.90                       0    nvidia
cuda-nvprune              11.6.124             he22ec0a_0    nvidia
cuda-nvrtc                11.6.124             h020bade_0    nvidia
cuda-nvrtc-dev            11.6.124             h249d397_0    nvidia
cuda-nvtx                 11.6.124             h0630a44_0    nvidia
cuda-nvvp                 12.0.90                       0    nvidia
cuda-runtime              11.6.1                        0    nvidia
cuda-samples              11.6.101             h8efea70_0    nvidia
cuda-sanitizer-api        12.0.90                       0    nvidia
cuda-toolkit              11.6.1                        0    nvidia
cuda-tools                11.6.1                        0    nvidia
cuda-visual-tools         11.6.1                        0    nvidia
ffmpeg                    4.3                  hf484d3e_0    pytorch
flit-core                 3.6.0              pyhd3eb1b0_0  
freetype                  2.12.1               h4a9f257_0  
gds-tools                 1.5.0.59                      0    nvidia
giflib                    5.2.1                h7b6447c_0  
gmp                       6.2.1                h295c915_3  
gnutls                    3.6.15               he1e5248_0  
idna                      3.4             py310h06a4308_0  
intel-openmp              2021.4.0          h06a4308_3561  
jpeg                      9e                   h7f8727e_0  
lame                      3.100                h7b6447c_0  
lcms2                     2.12                 h3be6417_0  
ld_impl_linux-64          2.38                 h1181459_1  
lerc                      3.0                  h295c915_0  
libcublas                 11.9.2.110           h5e84587_0    nvidia
libcublas-dev             11.9.2.110           h5c901ab_0    nvidia
libcufft                  10.7.1.112           hf425ae0_0    nvidia
libcufft-dev              10.7.1.112           ha5ce4c0_0    nvidia
libcufile                 1.5.0.59                      0    nvidia
libcufile-dev             1.5.0.59                      0    nvidia
libcurand                 10.3.1.50                     0    nvidia
libcurand-dev             10.3.1.50                     0    nvidia
libcusolver               11.3.4.124           h33c3c4e_0    nvidia
libcusparse               11.7.2.124           h7538f96_0    nvidia
libcusparse-dev           11.7.2.124           hbbe9722_0    nvidia
libdeflate                1.8                  h7f8727e_5  
libffi                    3.4.2                h6a678d5_6  
libgcc-ng                 11.2.0               h1234567_1  
libgomp                   11.2.0               h1234567_1  
libiconv                  1.16                 h7f8727e_2  
libidn2                   2.3.2                h7f8727e_0  
libnpp                    11.6.3.124           hd2722f0_0    nvidia
libnpp-dev                11.6.3.124           h3c42840_0    nvidia
libnvjpeg                 11.6.2.124           hd473ad6_0    nvidia
libnvjpeg-dev             11.6.2.124           hb5906b9_0    nvidia
libpng                    1.6.37               hbc83047_0  
libstdcxx-ng              11.2.0               h1234567_1  
libtasn1                  4.16.0               h27cfd23_0  
libtiff                   4.5.0                hecacb30_0  
libunistring              0.9.10               h27cfd23_0  
libuuid                   1.41.5               h5eee18b_0  
libwebp                   1.2.4                h11a3e52_0  
libwebp-base              1.2.4                h5eee18b_0  
lz4-c                     1.9.4                h6a678d5_0  
mkl                       2021.4.0           h06a4308_640  
mkl-service               2.4.0           py310h7f8727e_0  
mkl_fft                   1.3.1           py310hd6ae3a3_0  
mkl_random                1.2.2           py310h00e6091_0  
ncurses                   6.3                  h5eee18b_3  
nettle                    3.7.3                hbbd107a_1  
nsight-compute            2022.4.0.15                   0    nvidia
numpy                     1.23.5          py310hd5efca6_0  
numpy-base                1.23.5          py310h8e6c178_0  
openh264                  2.1.1                h4ff587b_0  
openssl                   1.1.1s               h7f8727e_0  
pillow                    9.3.0           py310hace64e9_1  
pip                       22.3.1          py310h06a4308_0  
pycparser                 2.21               pyhd3eb1b0_0  
pyopenssl                 22.0.0             pyhd3eb1b0_0  
pysocks                   1.7.1           py310h06a4308_0  
python                    3.10.9               h7a1cb2a_0  
pytorch                   1.13.1          py3.10_cuda11.6_cudnn8.3.2_0    pytorch
pytorch-cuda              11.6                 h867d48c_1    pytorch
pytorch-mutex             1.0                        cuda    pytorch
readline                  8.2                  h5eee18b_0  
requests                  2.28.1          py310h06a4308_0  
setuptools                65.6.3          py310h06a4308_0  
six                       1.16.0             pyhd3eb1b0_1  
sqlite                    3.40.1               h5082296_0  
tk                        8.6.12               h1ccaba5_0  
torchaudio                0.13.1              py310_cu116    pytorch
torchvision               0.14.1              py310_cu116    pytorch
transformers              4.19.0                   pypi_0    pypi
typing_extensions         4.4.0           py310h06a4308_0  
tzdata                    2022g                h04d1e81_0  
urllib3                   1.26.14         py310h06a4308_0  
wheel                     0.37.1             pyhd3eb1b0_0  
xz                        5.2.10               h5eee18b_1  
zlib                      1.2.13               h5eee18b_0  
zstd                      1.5.2                ha4553b6_0

neonbjb commented 1 year ago

That requirement was to fix some dependency conflict when that was present when I originally pushed this repo. I believe librosa did not support the latest version of numba. Maybe they've fixed it now.

Ain't python packaging fun? ....... :/

ottokafka commented 1 year ago

Had the same issue. Used @sbersier suggestions which worked for me additionally I used the latest transformers package.

Ubuntu 22.04 with Python 3.10.6

Steps in order conda create -n tortoise-tts conda activate tortoise-tts edit the requirements file python -m pip install -r ./requirements.txt

usage python tortoise/do_tts.py --text "don't forget to pay your phone bill" --voice random --preset fast

requirements.txt

tqdm rotary_embedding_torch transformers tokenizers inflect progressbar einops==0.4.1 unidecode scipy==1.10.1 librosa==0.9.1 ffmpeg numpy numba torchaudio threadpoolctl llvmlite appdirs

neonbjb / tortoise-tts

numpy 1.24.1 incompatible with numba #240