PyTorch XLA
Named by 4 kept items in this workspace.
Search every workspace for PyTorch XLA. It matches the name as written, so it can find other things that share it.
The items that name it 4
Older route to run PyTorch on Trainium using lazy tensor graph capture. It had no first-class eager mode and no native torch.distributed, DTensor, SimpleFSDP or DDP support.
The older way to run PyTorch on TPUs. It used lazy tensors, could trigger graph recompilations on small changes, and was hard to debug.
Compiler-style backend underlying the earlier Neuron stack: lazy tensors, static shapes, recompilation on graph breaks.
First vLLM TPU prototype backend, using lazy execution to build graphs for XLA.
All technologies in this workspace.