training with horovod
Hi, I am trying to use horovod for accelerator. Training steps:

1. cd NeMo/examples/nlp/text_classification
2. python text_classification_with_bert.py

This steps works without any problem. However when I try to use horovod:

1. cd NeMo/examples/nlp/text_classification
2.change pl Trainer:
pl.Trainer(plugins=[NLPDDPPlugin()], **cfg.trainer) to trainer = pl.Trainer(strategy="horovod", accelerator="gpu", devices=1, plugins=[NLPDDPPlugin()], **cfg.trainer) in `text_classification_with_bert.py`
3. horovodrun -np 1 -H server1:1 --verbose --start-timeout 300 python text_classification_with_bert.py

I got this error:

```
(nemo)$ horovodrun -np 1 -H server1:1 --verbose --start-timeout 300 python text_classification_with_bert.py
Filtering local host names.
Remote host found: server1
Checking ssh on all remote hosts.
SSH was successful into all the remote hosts.
Testing interfaces on all the hosts.
Launched horovod server.
Launching horovod task function: ssh -o PasswordAuthentication=no -o StrictHostKeyChecking=no server1 path/to/miniconda3/envs/nemo/bin/python -m horovod.runner.task_fn ...
Attempted to launch horovod task servers.
Waiting for the hosts to acknowledge.
Launching horovod task function was not successful:
bash: path/to/miniconda3/envs/nemo/bin/python: No such file or directory
```

**Environment overview**
PyTorch version: 1.11.0
CUDA used to build PyTorch: 10.2

OS: Ubuntu 18.04.3

Python version: 3.8.13
Is CUDA available: True
CUDA runtime version: 11.3.58

Versions of relevant libraries:
[pip3] numpy==1.21.5
[pip3] pytorch-lightning==1.6.1
[pip3] torch==1.11.0
[pip3] torch-stft==0.1.4
[pip3] torchaudio==0.11.0
[pip3] torchmetrics==0.8.0
[pip3] torchvision==0.12.0
[conda] pytorch                   1.11.0          py3.8_cuda10.2_cudnn7.6.5_0    pytorch
[conda] pytorch-lightning         1.6.1                    pypi_0    pypi
[conda] pytorch-mutex             1.0                        cuda    pytorch
[conda] torch-stft                0.1.4                    pypi_0    pypi
[conda] torchaudio                0.11.0               py38_cu102    pytorch
[conda] torchmetrics              0.8.0                    pypi_0    pypi
[conda] torchvision               0.12.0               py38_cu102    pytorch


Note: I run an [mnist example with Horovod](https://github.com/horovod/horovod/blob/master/examples/pytorch/pytorch_mnist.py) itself directly without a problem.