Comments (2)
@zpcore can you take a look at this one? I suspect you can repo with the CPU as well.
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@JackCaoG , yes, the issue can be reproduced with the xla CPU also. Meanwhile, I tried the same code with the master branch, the issue doesn't exist. So the issue only exists on the 2.3 release.
The simplest solution is to use the most latest docker build us-central1-docker.pkg.dev/tpu-pytorch-releases/docker/xla:nightly_3.10_cuda_12.1_20240605
. @ajayvohra2005 , can you try this docker instead?
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Related Issues (20)
- [API Usability] Internalize `parse_xla_device`
- [API Usability] Deprecate `get_xla_supported_devices`
- [API Usability] Deprecate `xrt_world_size`
- [API Usability] Deprecate `get_ordinal`
- [API Usability] Deprecate `get_local_ordinal`
- [API Usability] Deprecate xla_real_devices
- [API Usability] Deprecate `xla_device_hw`
- [API Usability] Delete `unlazy`
- [API Usability] Internalize `RateTracker`
- [API Usability] Internalize `ToXlaTensorArena`
- [API Usability] Delete `check_view_sharing`
- [API Usability] Internalize `reduce_gradients`
- [Fori Loop] Inconsistent Shape Behavior HOT 2
- Equivalent of get_worker_info to split an IterableDataset HOT 18
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- Op info test for `T .. arange` HOT 1
- CUDA and GPU-Flavoured Docker/Container Image Missing CUDA Support HOT 1
- Graph dump to optimize HOT 9
- Invalid version identifier in filenames of nightly builds HOT 6
- How to test on a subset of TPUs in a TPU Pod HOT 7
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