How to properly install and utilize torch 1.1.0?

1

I am installing torchvision, pandas, PIL and other things, here is a glimpse -

!pip install -q pandas
# http://pytorch.org/
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'

!pip install -q http://download.pytorch.org/whl/{accelerator}/torch-1.0.0-{platform}-linux_x86_64.whl torchvision
import torch
!pip install -q Pillow==4.3.0
!pip install -q PIL
!pip install -q image
import PIL

#%reload_ext autoreload        <------------— comment out 
#%autoreload 0                 <------------— comment out
%matplotlib inline

!pip install --no-cache-dir -I pillow

But when I run this, the result is this -

ERROR: torchvision 0.3.0 has requirement torch>=1.1.0, but you’ll have torch 1.0.0 which is incompatible.
ERROR: albumentations 0.1.12 has requirement imgaug<0.2.7,>=0.2.5, but you’ll have imgaug 0.2.9 which is incompatible.
ERROR: Could not find a version that satisfies the requirement PIL (from versions: none)
ERROR: No matching distribution found for PIL

But I have torch 1.1.0 successfully installed -

!pip install -q torch

import torch
print(torch.__version__)

The result of the print is 1.1.0. Then why it is showing this result? I am doing all this in google colab. Thanks in advance.

2

You could use the cmd in the official PyTorch’s website.

3

Solved, the main problem was in torch vision versions. Just had to update torchvision version to the latest edition.

4

How did you update torchvision?

5

pip install torchvision==version or pip install torchvision --upgrade ? For Linux, you can now get torchvision 0.4.0 directly as well with PyTorch-v1.2.0