ERROR: No matching distribution found for torch==1.3.1

Hello I’m a newbie learning ml and I’m facing this issue while installing dependencies of a project. I’m using conda env with python 3.6 conda create -n mlenv python=3.6 pip install -r requirements.txt requirements.txt

librosa==0.8.1
tgt==1.4.4
pyloudnorm==0.1.0
praatio==3.8.0
tensorboardX==1.9
torch==1.3.1

output

Collecting librosa==0.8.1
  Using cached librosa-0.8.1-py3-none-any.whl (203 kB)
Collecting tgt==1.4.4
  Using cached tgt-1.4.4.tar.gz (21 kB)
Collecting pyloudnorm==0.1.0
  Using cached pyloudnorm-0.1.0-py3-none-any.whl (9.3 kB)
Collecting praatio==3.8.0
  Using cached praatio-3.8.0-py3-none-any.whl (67 kB)
Collecting tensorboardX==1.9
  Using cached tensorboardX-1.9-py2.py3-none-any.whl (190 kB)
ERROR: Could not find a version that satisfies the requirement torch==1.3.1 (from versions: 1.7.0, 1.7.1, 1.8.0, 1.8.1, 1.9.0, 1.9.1, 1.10.0, 1.10.1, 1.10.2)
ERROR: No matching distribution found for torch==1.3.1

why is this happening?

You can find the old 1.3.1 release for Python 3.6 here, but note that it was released in Nov. 2019 and also note that Python 3.6 is at its EOL, so I would recommend sticking to a newer release.