Importing DistributedSamplerWrapper will invalidate the setting CUDA_VISIBLE_DEVICE.

[zezhishao]

🐛 Bug Report

After from catalyst.data.sampler import DistributedSamplerWrapper, setting CUDA_VISIBLE_DEVICE will have no effect.
To me, this is a bit counterintuitive. Is this correct, I want to know what is the reason and how to fix it?

How To Reproduce

import os
import torch
from catalyst.data.sampler import DistributedSamplerWrapper

os.environ["CUDA_VISIBLE_DEVICES"] = "0"
device_num = torch.cuda.device_count()
print(device_num) # Ouput: 2

import os
import torch
# from catalyst.data.sampler import DistributedSamplerWrapper

os.environ["CUDA_VISIBLE_DEVICES"] = "0"
device_num = torch.cuda.device_count()
print(device_num) # Ouput: 1

Environment

Catalyst version: 22.04
PyTorch version: 2.2.1+cu118
Is debug build: No
CUDA used to build PyTorch: 11.8
TensorFlow version: N/A
TensorBoard version: 2.16.2

OS: Ubuntu 22.04.2 LTS
GCC version: (Ubuntu 11.3.0-1ubuntu1~22.04.1) 11.3.0
CMake version: Could not collect

Python version: 3.9
Is CUDA available: Yes
CUDA runtime version: Could not collect
GPU models and configuration: 
GPU 0: Tesla V100-PCIE-32GB
GPU 1: Tesla V100-PCIE-32GB

Nvidia driver version: 525.125.06
cuDNN version: Could not collect

Versions of relevant libraries:
[pip3] catalyst==22.4
[pip3] easy-torch==1.3.2
[pip3] numpy==1.22.4
[pip3] pytorch-triton==3.0.0+a9bc1a3647
[pip3] tensorboard==2.16.2
[pip3] tensorboard-data-server==0.7.2
[pip3] tensorboardX==2.6.2.2
[pip3] torch==2.2.1+cu118
[pip3] torchaudio==2.2.1+cu118
[pip3] torchvision==0.17.1+cu118
[conda] catalyst                  22.4                     pypi_0    pypi
[conda] easy-torch                1.3.2                    pypi_0    pypi
[conda] numpy                     1.22.4                   pypi_0    pypi
[conda] pytorch-triton            3.0.0+a9bc1a3647          pypi_0    pypi
[conda] tensorboard               2.16.2                   pypi_0    pypi
[conda] tensorboard-data-server   0.7.2                    pypi_0    pypi
[conda] tensorboardx              2.6.2.2                  pypi_0    pypi
[conda] torch                     2.2.1+cu118              pypi_0    pypi
[conda] torchaudio                2.2.1+cu118              pypi_0    pypi
[conda] torchvision               0.17.1+cu118             pypi_0    pypi

Checklist

• bug description
• steps to reproduce
• expected behavior
• environment
• code sample / screenshots

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