Comments (3)
Most likely some process is holding a lock on the TPU. I usually do a pkill -f python
and that solved the issue 95% of the time.
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Thank you.
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btw I saw you were trying to run resnet, take a look at our new example dir in https://github.com/pytorch/xla/tree/master/examples which I think it is more concise.
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Related Issues (20)
- Op info test for `ones .. rad2deg`
- Op info test for `reshape_as .. roll`
- Op info test for `rsqrt .. signal.windows.cosine`
- Op info test for `signal.windows.exponential .. signal.windows.hamming`
- Op info test for `signal.windows.hann .. slice_scatter`
- Op info test for `sparse.mm .. special.xlog1py`
- Op info test for `split .. stack`
- Op info test for `sum_to_size .. tril_indices`
- Op info test for `triu_indices .. unsafe_chunk`
- Op info test for `unsafe_split .. view_as`
- Op info test for `view_copy .. zeros`
- Op info test for `view_copy .. zeros`
- `F.embedding_bag(..., mode='max')` yields different results than PyTorch eager. HOT 2
- Print(tensor) takes a very long time! HOT 2
- Pallas on CPU HOT 9
- torch.jit.trace fails with very simple conv layer on tpu but succeeded on both mps and cpu
- How to use spmd to support hybrid shard data parallelism? HOT 3
- How-swaping model weights of torch.complied or traced model HOT 11
- Dynamo persistent cache real-time look-up HOT 2
- How to avoid compilation in a section of code? HOT 5
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