Ben
Ben
@zogojogo You probably need to build the runtime with custom parameters: https://forums.developer.nvidia.com/t/issue-using-onnxruntime-with-cudaexecutionprovider-on-orin/219457/8
@qasfb would you be able to publish some loss curves that you expected to be perfectly valid? Did you measure the performance of knn and linear classification during the training...
@qasfb that is super helpful. Just for Clarification for knn/linear: You had a: 1. set of test images of different classes, known eg. cats and dogs 2. You ran these...
@qasfb great, thanks for the super quick turn around. that helps clarify a lot, I guess knn is a lot easier to replicate than the linear part. Unless you would...
I would love to be able to fine tune the model for specific datasets as well.
+1 would love to see WandB integration
@patricklabatut and @usryokousha Any reason to use `python -m torch.distributed.launch` over `torchrun` ? At least to the [pytorch documentation](https://pytorch.org/docs/stable/elastic/run.html) Torchrun offers more fault tolerance etc.
I'm having the same problem on Ubuntu 20.04. Has anyone found a solution for this?
take a look at this issue @agn-7 https://github.com/idosal/git-mcp/issues/158#issuecomment-3037457364
Yes multi Agent support especially A2A protocol would be awesome. This way we could also integrate other Agents and orchestrate them nicely together.