Bolts Vision Models not working

🐛 Bug- Image GPT Bolts models not getting imported. Same issue for segment models

To Reproduce

Steps to reproduce the behavior:

1. Go to '…'pip install
2. Run ‘…’ import
3. Scroll down to ‘…’
4. See error

Code sample

Expected behavior

Environment

• PyTorch Version (e.g., 1.0):
• OS (e.g., Linux):
• How you installed PyTorch (conda, pip, source):
• Build command you used (if compiling from source):
• Python version:
• CUDA/cuDNN version:
• GPU models and configuration:
• Any other relevant information:

Additional context

[maulberto3]

I tried to run on kaggle.com the CIFAR tutorial, but still have not yet successfully installed the pl bolts package: ImportError: cannot import name ‘emnist_normalization’ from ‘pl_bolts.transforms.dataset_normalizations’

[akihironitta]

documentation on “vision” models is lacking. Its not clear how to get output from them (like imagegpt2). We have to revert to full github code for it. While image GPT2 import worked, there is a new issue now;

@kunal-savvy I agree, the docs could be better for sure. Could you submit an issue describing what’s lacking and can be improved?

The kitty module import still throws same error even after upgrade.

Could you run the command and share the output like below?

$ wget https://raw.githubusercontent.com/PyTorchLightning/pytorch-lightning/master/tests/collect_env_details.py
$ python collect_env_details.py
* CUDA:
	- GPU:
	- available:         False
	- version:           10.2
* Packages:
	- numpy:             1.20.1
	- pyTorch_debug:     False
	- pyTorch_version:   1.7.1
	- pytorch-lightning: 1.1.8
	- tqdm:              4.57.0
* System:
	- OS:                Linux
	- architecture:
		- 64bit
		- ELF
	- processor:         
	- python:            3.8.5
	- version:           #1 SMP Debian 4.19.171-2 (2021-01-30)