vision: Torchvision 0.6.0 doesn't work on Ubuntu 16.04.3 with Python 3.5.2

🐛 Bug

To Reproduce

Steps to reproduce the behavior: Create a virtual environment python -m venv venv Activate the virtual environment pip install torchvision Run the following line: import torchvision

Python 3.5.2 (default, Apr 16 2020, 17:47:17)
[GCC 5.4.0 20160609] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import torchvision
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/var/www/rabbit.goodtrees.com/env/lib/python3.5/site-packages/torchvision/__init__.py", line 3, in <module>
    from torchvision import models
  File "/var/www/rabbit.goodtrees.com/env/lib/python3.5/site-packages/torchvision/models/__init__.py", line 12, in <module>
    from . import detection
  File "/var/www/rabbit.goodtrees.com/env/lib/python3.5/site-packages/torchvision/models/detection/__init__.py", line 1, in <module>
    from .faster_rcnn import *
  File "/var/www/rabbit.goodtrees.com/env/lib/python3.5/site-packages/torchvision/models/detection/faster_rcnn.py", line 14, in <module>
    from .roi_heads import RoIHeads
  File "/var/www/rabbit.goodtrees.com/env/lib/python3.5/site-packages/torchvision/models/detection/roi_heads.py", line 210, in <module>
    @torch.jit.script
  File "/var/www/rabbit.goodtrees.com/env/lib/python3.5/site-packages/torch/jit/__init__.py", line 1290, in script
    fn = torch._C._jit_script_compile(qualified_name, ast, _rcb, get_default_args(obj))
  File "/var/www/rabbit.goodtrees.com/env/lib/python3.5/site-packages/torch/jit/_recursive.py", line 568, in try_compile_fn
    return torch.jit.script(fn, _rcb=rcb)
  File "/var/www/rabbit.goodtrees.com/env/lib/python3.5/site-packages/torch/jit/__init__.py", line 1290, in script
    fn = torch._C._jit_script_compile(qualified_name, ast, _rcb, get_default_args(obj))
  File "/var/www/rabbit.goodtrees.com/env/lib/python3.5/site-packages/torch/jit/__init__.py", line 2030, in _get_overloads
    compiled_fns.append(_compile_function_with_overload(overload_fn, qual_name, obj))
  File "/var/www/rabbit.goodtrees.com/env/lib/python3.5/site-packages/torch/jit/__init__.py", line 2010, in _compile_function_with_overload
    overload_signature = torch.jit.annotations.get_signature(overload_fn, None, None, inspect.ismethod(overload_fn))
  File "/var/www/rabbit.goodtrees.com/env/lib/python3.5/site-packages/torch/jit/annotations.py", line 79, in get_signature
    signature = parse_type_line(type_line, rcb, loc)
  File "/var/www/rabbit.goodtrees.com/env/lib/python3.5/site-packages/torch/jit/annotations.py", line 165, in parse_type_line
    arg_types = [ann_to_type(ann, loc) for ann in arg_ann]
  File "/var/www/rabbit.goodtrees.com/env/lib/python3.5/site-packages/torch/jit/annotations.py", line 165, in <listcomp>
    arg_types = [ann_to_type(ann, loc) for ann in arg_ann]
  File "/var/www/rabbit.goodtrees.com/env/lib/python3.5/site-packages/torch/jit/annotations.py", line 303, in ann_to_type
    the_type = try_ann_to_type(ann, loc)
  File "/var/www/rabbit.goodtrees.com/env/lib/python3.5/site-packages/torch/jit/annotations.py", line 296, in try_ann_to_type
    the_type = torch._C._resolve_type_from_object(ann, loc, fake_rcb)
TypeError: _resolve_type_from_object(): incompatible function arguments. The following argument types are supported:
    1. (arg0: object, arg1: torch._C._jit_tree_views.SourceRange, arg2: Callable[[str], function]) -> torch._C.Type

Invoked with: typing.Union[int, NoneType], None, <function try_ann_to_type.<locals>.fake_rcb at 0x7f566909fd90>
>>>

Expected behavior

Expected it to import successfully

Environment

Please copy and paste the output from our environment collection script (or fill out the checklist below manually).

You can get the script and run it with:

wget https://raw.githubusercontent.com/pytorch/pytorch/master/torch/utils/collect_env.py
# For security purposes, please check the contents of collect_env.py before running it.
python collect_env.py

Collecting environment information… PyTorch version: 1.5.0 Is debug build: No CUDA used to build PyTorch: 10.2

OS: Ubuntu 16.04.3 LTS GCC version: (Ubuntu 5.4.0-6ubuntu1~16.04.12) 5.4.0 20160609 CMake version: Could not collect

Python version: 3.5 Is CUDA available: No CUDA runtime version: No CUDA GPU models and configuration: No CUDA Nvidia driver version: No CUDA cuDNN version: No CUDA

Versions of relevant libraries: [pip3] numpy==1.18.3 [pip3] torch==1.5.0 [pip3] torchvision==0.6.0 [conda] Could not collect

Additional context

I tried it with pip install torchvision==0.5 and it worked.