nemo2riva is not working with virtual env

[santhosh-sp]

Hello folks,

I have been trying with python3.8 virtual env to convert from .nemo to .riva. Unfortunately I am getting an error below.

ValueError: You selected an invalid accelerator name: accelerator=TrainerConfig(logger=False, callbacks=None, default_root_dir=None, gradient_clip_val=0, num_nodes=1, gpus=1, auto_select_gpus=False, tpu_cores=None, enable_progress_bar=True, overfit_batches=0.0, track_grad_norm=-1, check_val_every_n_epoch=1, fast_dev_run=False, accumulate_grad_batches=1, max_epochs=1000, min_epochs=1, max_steps=-1, min_steps=None, limit_train_batches=1.0, limit_val_batches=1.0, limit_test_batches=1.0, val_check_interval=1.0, log_every_n_steps=50, accelerator='ddp', sync_batchnorm=False, precision=32, num_sanity_val_steps=2, resume_from_checkpoint=None, profiler=None, benchmark=False, deterministic=False, auto_lr_find=False, replace_sampler_ddp=True, detect_anomaly=False, auto_scale_batch_size=False, amp_backend='native', amp_level=None, plugins=None, move_metrics_to_cpu=False, multiple_trainloader_mode='max_size_cycle', limit_predict_batches=1.0, gradient_clip_algorithm='norm', max_time=None, reload_dataloaders_every_n_epochs=0, ipus=None, devices=None, strategy=None, enable_checkpointing=False, enable_model_summary=True, inference_mode=True). Available names are: auto, cpu, cuda, hpu, ipu, mps, tpu.

Will it work only with conda along GPU.?

Your thoughts please.

Thanks