Nathan Margaglio

The .cache issue appears to be unrelated to this. Even when you avoid the .cache access issue, it will still fail to import the module from dm_helper.py I'm getting that...

> The resolution of running on a larger instance does not work. I am using Nvidia Tesla A100 on GCP, with a CUDA 11.3 (not 11.6) by pulling the prebuilt...

Seeing the same kind of issue on an AWS g5.xlarge instance running Deep Learning AMI (Ubuntu 18.04) Version 61.0. GPUs appear to be accessible from within Docker, CUDA versions all...

@hanxiao Yup, tried it a number of times, double checking that I'm doing everything correctly. I can get it to build and run fine, and the GPU appears to be...

@javialon26 Did you find a fix for the copy-anything issue you commented about? I was able to work around it for development by editing the module directling in `node_modules`, but...

Greetings @ShishirPatil ! Any update on this? I'm also curious about this design decision, if you care to explain the thought process. I know I'm not too keen on letting...

Any updates on this? Or maybe recommendations for alternative approaches? I definitely appreciate this project for what it offers, but the `function_call`-like responses just seems like the more obvious approach...