Comments (1)
Thank you for checking.
Forward propagation seems to be working, so I hope there is no problem installing nnabla...
If you can use docker, could you please try to run with docker?
cd nvcnet
./scripts/docker_build.sh
docker run --gpus all -u $(id -u):$(id -g) -v $HOME:$HOME -w $(pwd) --rm -it nvcnet:latest /bin/bash
export NUMBA_CACHE_DIR=/tmp
python main.py -c cudnn -d 0
If this is same error, could you please provide GPU information by nvidia-smi -L
?
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Related Issues (20)
- Chinese supported? HOT 2
- Adding additional speakers - transfer learning
- NVC-Net Training HOT 3
- [Mixed Precision DNNs]: ImageNet codebase? HOT 1
- 【NVC-Net】ImportError: libcudart.so.10.2: cannot open shared object file: No such file or directory HOT 6
- 【NVC-Net】Mutli-GPU training multiple models? HOT 2
- No pretrained NVC model HOT 5
- Memory allocation failed HOT 16
- MobileNet implementation for Mixed Precision DNNs
- Segmentation fault and RuntimeError: value error in setup_impl HOT 3
- resuming training from checkpoint HOT 2
- Question about Mixed Precision DNNs HOT 5
- [Quantized Depth Completion] Questions about implementation details HOT 5
- pretrained NVC model HOT 1
- NVCnet g_loss_con=0.0000 while training HOT 2
- [NVC-Net] About 16 kHz training and model convergence HOT 2
- [NVC-NET]Inference in CPU environment HOT 2
- [X-UMX] Bad performance when using --targets HOT 1
- hi,where is tvc-gmm code? HOT 2
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