installation issue

[SaharHusseini]

when I try
conda install --file requirements.txt

Solving environment: failed with initial frozen solve. Retrying with flexible solve.

PackagesNotFoundError: The following packages are not available from current channels:

• mkl_random==1.1.0=py37hb3f55d8_0
• lame==3.100=h14c3975_1001
• xorg-libice==1.0.10=h516909a_0
• xorg-libxext==1.3.4=h516909a_0
• x264==1!152.20180806=h14c3975_0
• nettle==3.4.1=h1bed415_1002
• fontconfig==2.13.1=h86ecdb6_1001
• libxkbcommon==0.9.1=hebb1f50_0
• glib==2.58.3=py37h6f030ca_1002
• harfbuzz==2.4.0=h9f30f68_3
• icu==64.2=he1b5a44_1
• blas==2.14=openblas
• libclang==9.0.0=default_hde54327_4
• libllvm9==9.0.0=hc9558a2_3
• xorg-xextproto==7.3.0=h14c3975_1002
• bzip2==1.0.8=h516909a_2
• nss==3.47=he751ad9_0
• xorg-kbproto==1.0.7=h14c3975_1002
• py-opencv==4.1.2=py37h5ca1d4c_2
• pthread-stubs==0.4=h14c3975_1001
• kiwisolver==1.1.0=pypi_0
• xorg-libsm==1.2.3=h84519dc_1000
• gstreamer==1.14.5=h36ae1b5_0
• hdf5==1.10.5=nompi_h3c11f04_1104
• nspr==4.24=he1b5a44_0
• libwebp==1.0.2=h576950b_1
• libopencv==4.1.2=py37_2
• tqdm==4.40.2=pypi_0
• torchvision==0.2.2=py_3
• pytorch==1.0.1=py3.7_cuda10.0.130_cudnn7.4.2_2
• cycler==0.10.0=pypi_0
• libiconv==1.15=h516909a_1005
• graphite2==1.3.13=hf484d3e_1000
• gst-plugins-base==1.14.5=h0935bb2_0
• mkl_fft==1.0.15=py37h516909a_1
• pyparsing==2.4.5=pypi_0
• xorg-libxdmcp==1.1.3=h516909a_0
• pretrainedmodels==0.7.4=pypi_0
• openssl==1.1.1=h7b6447c_0
• pixman==0.38.0=h516909a_1003
• expat==2.2.5=he1b5a44_1004
• jasper==1.900.1=h07fcdf6_1006
• dbus==1.13.6=he372182_0
• munch==2.5.0=pypi_0
• xorg-libxrender==0.9.10=h516909a_1002
• xorg-renderproto==0.11.1=h14c3975_1002
• libopenblas==0.3.7=h5ec1e0e_5
• protobuf==3.11.1=py37he1b5a44_0
• xorg-libxau==1.0.9=h14c3975_0
• libxml2==2.9.10=hee79883_0
• xorg-xproto==7.0.31=h14c3975_1007
• liblapacke==3.8.0=14_openblas
• tensorboardx==1.9=py_0
• giflib==5.1.9=h516909a_0
• libcblas==3.8.0=14_openblas
• libxcb==1.13=h14c3975_1002
• libuuid==2.32.1=h14c3975_1000
• gnutls==3.6.5=hd3a4fd2_1002
• xorg-libx11==1.6.9=h516909a_0
• liblapack==3.8.0=14_openblas
• libblas==3.8.0=14_openblas
• gmp==6.1.2=hf484d3e_1000
• matplotlib==3.1.2=pypi_0
• opencv==4.1.2=py37_2
• jpeg==9c=h14c3975_1001
• cairo==1.16.0=hfb77d84_1002
• pcre==8.43=he1b5a44_0
• numpy==1.17.3=py37h95a1406_0
• libprotobuf==3.11.1=h8b12597_0
• qt==5.12.5=hd8c4c69_1
• gettext==0.19.8.1=hc5be6a0_1002
• ffmpeg==4.1.3=h167e202_0
• openh264==1.8.0=hdbcaa40_1000

Current channels:

• https://repo.anaconda.com/pkgs/main/linux-64
• https://repo.anaconda.com/pkgs/main/noarch
• https://repo.anaconda.com/pkgs/r/linux-64
• https://repo.anaconda.com/pkgs/r/noarch

Is there any other way to install these packages?

[usmancheema89]

try pip install -r requirements.txt
maybe you will find these on pip

[kjczarne]

I was only able to run the demo notebook using the following environment:

dependencies:
  - python=3.10
  - pip
  - pip:
    - numba
    - six
    - face-alignment
    - tqdm
    - matplotlib
    - gdown
    - jupyterlab

Then I had to manually install a nightly version of Pytorch with CUDA 11.8 support (because I'm using an RTX 4090 at the moment):

pip install --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu118

The requirements file is a mish-mash of packages that are partly only available on PyPI, partly in Anaconda channels. I've spent a few hours trying to get it to work and no dice. Even the Pytorch version listed in requirements.txt seems to be wrong as you get huggingface/transformers#869 with the version listed. Surprisingly, nightly Pytorch 2.0 seems to work!

My suggestion for the requirements file would be to refactor it into a pip-compatible format with a minimal number of packages that are required for the project to work. Could anyone test my solution to this on a machine with an older version of CUDA, where no --pre flag for pip would be required (i.e. with Pytorch 1.13.1)? If this works with Pytorch 1.13.1 just as well, then one could just use the following environment.yml file:

dependencies:
  - python=3.10
  - pip
  - pip:
    - numba
    - six
    - face-alignment
    - tqdm
    - matplotlib
    - gdown
    - jupyterlab
    - torch==1.13.1
    - torchvision
    - torchaudio

Hope this helps! :)