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[TPU][Bugfix] Use XLA rank for persistent cache path (#8137)

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Woosuk Kwon 2024-09-03 18:35:33 -07:00 committed by GitHub
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commit 61f4a93d14
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2 changed files with 3 additions and 2 deletions
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2
docs/source/getting_started/tpu-installation.rst
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@ -59,7 +59,7 @@ First, install the dependencies:
$ export DATE="20240828"
$ export TORCH_VERSION="2.5.0"
$ pip install https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch-${TORCH_VERSION}.dev${DATE}-cp310-cp310-linux_x86_64.whl
$ pip3 install https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-${TORCH_VERSION}.dev${DATE}-cp310-cp310-linux_x86_64.whl
$ pip install https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-${TORCH_VERSION}.dev${DATE}-cp310-cp310-linux_x86_64.whl
$ # Install JAX and Pallas.
$ pip install torch_xla[tpu] -f https://storage.googleapis.com/libtpu-releases/index.html

3
vllm/worker/tpu_worker.py
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@ -102,8 +102,9 @@ class TPUWorker(LoraNotSupportedWorkerBase, LocalOrDistributedWorkerBase):
# NOTE(woosuk): Set per-rank cache path since different ranks
# can have slightly different XLA graphs.
world_size = self.parallel_config.world_size
rank = xr.global_ordinal()
per_rank_path = os.path.join(envs.VLLM_XLA_CACHE_PATH,
f"tp{world_size}_rank{self.rank}")
f"tp{world_size}_rank{rank}")
xr.initialize_cache(per_rank_path, readonly=False)
def load_model(self):