Update torch to 1.11.0

[AlanACruz]

python:latest does not support the old version of torch

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docker run -it --rm -v ~/git:/root/git/:Z python:latest /bin/bash

root@d90a2e105924:~/git/AIPND-revision# pip3 install -r requirements.txt
ERROR: Could not find a version that satisfies the requirement torch==1.4.0 (from versions: 1.11.0)
ERROR: No matching distribution found for torch==1.4.0

root@d90a2e105924:~/git/AIPND-revision# pip3 install -r requirements.txt
Collecting torch==1.11.0
Downloading torch-1.11.0-cp310-cp310-manylinux1_x86_64.whl (750.6 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 750.6/750.6 MB 1.2 MB/s eta 0:00:00
Collecting Pillow==7.1.2
Downloading Pillow-7.1.2.tar.gz (38.9 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 38.9/38.9 MB 13.3 MB/s eta 0:00:00
Preparing metadata (setup.py) ... done
Collecting torchvision==0.2.1
Downloading torchvision-0.2.1-py2.py3-none-any.whl (54 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 54.6/54.6 KB 215.6 kB/s eta 0:00:00
Collecting typing-extensions
Downloading typing_extensions-4.1.1-py3-none-any.whl (26 kB)
Collecting six
Downloading six-1.16.0-py2.py3-none-any.whl (11 kB)
Collecting numpy
Downloading numpy-1.22.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (16.8 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 16.8/16.8 MB 20.2 MB/s eta 0:00:00
Building wheels for collected packages: Pillow
Building wheel for Pillow (setup.py) ... done
Created wheel for Pillow: filename=Pillow-7.1.2-cp310-cp310-linux_x86_64.whl size=1343757 sha256=404372c7f771cb6ea297747b743216bbaaa67bb7136cf3d46d6072f66325d91d
Stored in directory: /root/.cache/pip/wheels/b1/33/ce/d1c30cb9fc3ba1b8e60a01d4f49e35a1e65b6911bd3722e3e9
Successfully built Pillow
Installing collected packages: typing-extensions, six, Pillow, numpy, torch, torchvision
Successfully installed Pillow-7.1.2 numpy-1.22.3 six-1.16.0 torch-1.11.0 torchvision-0.2.1 typing-extensions-4.1.1
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv`