Cannot train Tao Toolkit UNet model in version v4.0.0 and v4.0.1 - TAO Toolkit - NVIDIA Developer Forums

Excuse me @Bin_Zhao_NV @Morganh I’ve changed gpus from Tesla P100 to Tesla V100 and tried to train Tao Toolkit UNet model with 4 gpus in version v4.0.0 and v4.0.1 again. However. I still got the error message: device CUDA:0 not supported by XLA service while setting up XLA_GPU_JIT device number 0. This is the result in the process of training UNet when I ran the command nvidia-smi. Is this a bug for Tao Toolkit v4.0.0 and v4.0.1 ? When I trained UNet in the version v3.22.05, it seemed tha

TypeError: get_calibrator() got an unexpected keyword argument 'image_mean' - TAO Toolkit - NVIDIA Developer Forums

Blogs Dell Technologies Info Hub

TAO Toolkit exits with Kill without reason - TAO Toolkit - NVIDIA Developer Forums

TAO Toolkit NVIDIA Developer

The training process of Tao-Toolkit-API unet is always in Inf status - TAO Toolkit - NVIDIA Developer Forums

TAO Toolkit NVIDIA Developer

Exported model can't move to jetson tx2 - TAO Toolkit - NVIDIA Developer Forums

Jetson Nan-TAO Toolkit - TAO Toolkit - NVIDIA Developer Forums

Resnet50 is not UTF-8 encoded - TAO Toolkit - NVIDIA Developer Forums

TAO Toolkit Launcher - NVIDIA Docs

Mean average precision of 0.00 for detectnet_v2 using Tao Toolkit - TAO Toolkit - NVIDIA Developer Forums

Get Started with TAO Toolkit, NVIDIA Developer

Applied Sciences, Free Full-Text

Integrating TAO Models into DeepStream - NVIDIA Docs

Training Like an AI Pro Using NVIDIA TAO AutoML