cleanup cpu pip install steps (#4042)

Author: NicolasHug

.github/scripts/unittest-linux/install.sh

@@ -24,41 +24,7 @@ esac
 conda create -n ci -y python="${PYTHON_VERSION}"
 conda activate ci
 
-# 1. Install PyTorch
-# if [ -z "${CUDA_VERSION:-}" ] ; then
-#     if [ "${os}" == MacOSX ] ; then
-#         cudatoolkit=''
-#     else
-#         cudatoolkit="cpuonly"
-#     fi
-#     version="cpu"
-# else
-#     version="$(python -c "print('.'.join(\"${CUDA_VERSION}\".split('.')[:2]))")"
-#     export CUDATOOLKIT_CHANNEL="nvidia"
-#     cudatoolkit="pytorch-cuda=${version}"
-# fi
-
-# printf "Installing PyTorch with %s\n" "${cudatoolkit}"
-# (
-#     if [ "${os}" == MacOSX ] ; then
-#       # TODO: this can be removed as soon as linking issue could be resolved
-#       #  see https://github.com/pytorch/pytorch/issues/62424 from details
-#       MKL_CONSTRAINT='mkl==2021.2.0'
-#       pytorch_build=pytorch
-#     else
-#       MKL_CONSTRAINT=''
-#       pytorch_build="pytorch[build="*${version}*"]"
-#     fi
-#     set -x
-
-#     if [[ -z "$cudatoolkit" ]]; then
-#         conda install ${CONDA_CHANNEL_FLAGS:-} -y -c "pytorch-${UPLOAD_CHANNEL}" $MKL_CONSTRAINT "pytorch-${UPLOAD_CHANNEL}::${pytorch_build}"
-#     else
-#         conda install pytorch ${cudatoolkit} ${CONDA_CHANNEL_FLAGS:-} -y -c "pytorch-${UPLOAD_CHANNEL}" -c nvidia  $MKL_CONSTRAINT
-#     fi
-# )
-
-export GPU_ARCH_TYPE="cpu"  # TODO change this
+export GPU_ARCH_TYPE="cpu"
 
 case $GPU_ARCH_TYPE in
   cpu)
@@ -90,14 +56,4 @@ printf "* Installing test tools\n"
 conda install -y "ffmpeg<5"
 python -c "import torch; import torchaudio; import torchcodec; print(torch.__version__, torchaudio.__version__, torchcodec.__version__)"
 
-NUMBA_DEV_CHANNEL=""
-if [[ "$(python --version)" = *3.9* || "$(python --version)" = *3.10* ]]; then
-    # Numba isn't available for Python 3.9 and 3.10 except on the numba dev channel and building from source fails
-    # See https://github.com/librosa/librosa/issues/1270#issuecomment-759065048
-    NUMBA_DEV_CHANNEL="-c numba/label/dev"
-fi
-(
-    set -x
-    conda install -y -c conda-forge ${NUMBA_DEV_CHANNEL} parameterized 'requests>=2.20'
-    pip install coverage pytest pytest-cov scipy expecttest scipy "numpy>=1.26"
-)
+pip3 install parameterized requests coverage pytest pytest-cov scipy numpy expecttest