Xunkai
Xunkai
Upvote this issue. I'm currently building a test with bazel, whose most dependencies require PY3.
We've also seen people complained about the performance of NormalizeOp in TFLite Support. Weirdly though, I remembered that I didn't reproduce the bad performance. Thanks for the information. I will...
I got the same bug. When I set XFORMERS_MORE_DETAILS=1, it implies a linkage error. ``` WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for: PyTorch 2.0.0+nv23.05 with CUDA 1104...
It smells largely related with `torch.distributed`, as the torch version (`2.0.0+nv23.05`) doesn't carry some distribution related things.
In the docker built on Orin, when I inspected `torch.distributed.ProcessGroup`, it said ``` >>> torch.distributed.ProcessGroup >>> torch.distributed.is_available() False ``` When I inspected the thing on my laptop (mac osx), it...
Okay, I got `xformers` worked. Here's the finding: **main reason**: `xformers` requires `pytorch-distributed`. My steps: 1. Use jeston-container's `build.sh` to build a `pytorch:2.0-distributed` (change the version according to the L4T...
Most likely you need `pytorch:2.0-distributed` rather than `pytorch:2.0`
@arturdryomov I agree with that saving images could be very useful, at least for debugging purposes I can imagine. If adding implementation to `getBitmap` on `MediaImageContainer` is all your need,...
Asking @multiverse-tf for help.
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