PyTorch v1.0.0 stable was released on 8 December 2018 after being announced 7 months earlier.
I want get a version optimised for the hardware that my IPython kernel is r
With version 1.0.0, PyTorch changed the download URL format from:
https://download.pytorch.org/whl/cu92/torch-1.0.0-cp36-cp36m-linux_x86_64.whl
to
https://download.pytorch.org/whl/cu90/torch-1.0.0-cp36-cp36m-linux_x86_64.whl
(The change is in the CUDA version part, where cu92
changes to cu90
.)
To programmatically generate that URL, I used the following code:
from os.path import exists
from wheel.pep425tags import get_abbr_impl, get_impl_ver, get_abi_tag
platform = '{}{}-{}'.format(get_abbr_impl(), get_impl_ver(), get_abi_tag())
cuda_output = !ldconfig -p|grep cudart.so|sed -e 's/.*\.\([0-9]*\)\.\([0-9]*\)$/cu\10/'
accelerator = cuda_output[0] if exists('/dev/nvidia0') else 'cpu'
torch_url=f"http://download.pytorch.org/whl/{accelerator}/torch-{version}-{platform}-linux_x86_64.whl"
version='1.0.0'
!pip install -U {torch_url} torchvision
You can then change the version
variable as desired as newer versions are released.