Comments (2)
You need recent Bazel.
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Thank You !
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Related Issues (20)
- API for clearing XLA:CUDA cached memory. HOT 2
- xm.mark_step() RuntimeError: Bad StatusOr access: RESOURCE_EXHAUSTED HOT 14
- Confusion between xla_model.xla_device() and runtime.xla_device()
- 80B model how to shard restore in spmd training HOT 2
- [torchbench] `hf_BigBird` (inference and training) fails to run on dynamo.
- Make `tpu-info` more visible to the community HOT 5
- While loop can't yet handle additional tensors HOT 1
- Make profiler server static in torch_xla.debug.profiler.start_server()
- Test Script Not Utilizing All XLA Devices HOT 1
- xla-smi similar to nvidia-smi/nvitop or rocm-smi HOT 1
- [StableHLO] Failed to export GPT-J model from HF Transformers HOT 1
- Is pytorch xla spmd working as expected? HOT 3
- Is it possible free TPU memory without restarting in pytorch xla? HOT 6
- SPMD - how to use different dataloader on each VM of a TPU pod in SPMD HOT 8
- Crash when using auto SPMD on TPU pod with more than 1 VM HOT 2
- Using mark_sharding vs. MpDeviceLoader with input_sharding=xs.ShardingSpec HOT 4
- How to sync TPUs when using a pod with more than 1 VM in SPMD HOT 3
- Why do the communication in my spmd training have control-predecessors HOT 2
- [Bug] Notebook `Stable Diffusion with PyTorch/XLA 2.0` is outdated
- unsqueeze returns wrong results when input is a sliced tensor with non-trivial offset HOT 4
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