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[TPU] update torch_xla pin (#19231)

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Signed-off-by: Chengji Yao <chengjiyao@google.com>
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Chengji Yao 2025-06-05 21:27:38 -07:00 committed by GitHub
parent f8a1a2d108
commit b61dc5f972
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3 changed files with 8 additions and 7 deletions
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10
requirements/tpu.txt
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@ -18,9 +18,9 @@ setuptools==78.1.0
--find-links https://storage.googleapis.com/libtpu-releases/index.html --find-links https://storage.googleapis.com/libtpu-releases/index.html
--find-links https://storage.googleapis.com/jax-releases/jax_nightly_releases.html --find-links https://storage.googleapis.com/jax-releases/jax_nightly_releases.html
--find-links https://storage.googleapis.com/jax-releases/jaxlib_nightly_releases.html --find-links https://storage.googleapis.com/jax-releases/jaxlib_nightly_releases.html
torch==2.8.0.dev20250529 torch==2.8.0.dev20250605
torchvision==0.22.0.dev20250529 torchvision==0.23.0.dev20250605
torch_xla[tpu, pallas] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.8.0.dev20250529-cp39-cp39-linux_x86_64.whl ; python_version == "3.9" torch_xla[tpu, pallas] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.8.0.dev20250605-cp39-cp39-linux_x86_64.whl ; python_version == "3.9"
torch_xla[tpu, pallas] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.8.0.dev20250529-cp310-cp310-linux_x86_64.whl ; python_version == "3.10" torch_xla[tpu, pallas] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.8.0.dev20250605-cp310-cp310-linux_x86_64.whl ; python_version == "3.10"
torch_xla[tpu, pallas] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.8.0.dev20250529-cp311-cp311-linux_x86_64.whl ; python_version == "3.11" torch_xla[tpu, pallas] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.8.0.dev20250605-cp311-cp311-linux_x86_64.whl ; python_version == "3.11"

2
tests/tpu/test_moe_pallas.py
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@ -27,7 +27,7 @@ TOP_KS = [2, 6]
# The Pallas GMM kernel requires num_tokens * topk to be a multiple of 16 # The Pallas GMM kernel requires num_tokens * topk to be a multiple of 16
@pytest.mark.parametrize("m", [8, 16, 64, 2048]) @pytest.mark.parametrize("m", [8, 16, 64, 2048])
@pytest.mark.parametrize("n", [128, 1024, 2048]) @pytest.mark.parametrize("n", [128, 1024, 2048])
@pytest.mark.parametrize("k", [128, 512, 1024]) @pytest.mark.parametrize("k", [128, 511, 1024])
@pytest.mark.parametrize("e", NUM_EXPERTS) @pytest.mark.parametrize("e", NUM_EXPERTS)
@pytest.mark.parametrize("topk", TOP_KS) @pytest.mark.parametrize("topk", TOP_KS)
@pytest.mark.parametrize("ep_size", EP_SIZE) @pytest.mark.parametrize("ep_size", EP_SIZE)

3
vllm/v1/worker/tpu_worker.py
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@ -100,7 +100,8 @@ class TPUWorker:
# `xla_tpu_force_1d_allreduce_at_chunk_count` is a temporary solution to # `xla_tpu_force_1d_allreduce_at_chunk_count` is a temporary solution to
# fix this. It will be removed after the bug in XLA compiler is fixed. # fix this. It will be removed after the bug in XLA compiler is fixed.
os.environ["LIBTPU_INIT_ARGS"] = ( os.environ["LIBTPU_INIT_ARGS"] = (
"--xla_tpu_force_1d_allreduce_at_chunk_count=1") os.environ.get("LIBTPU_INIT_ARGS", "") +
" --xla_tpu_force_1d_allreduce_at_chunk_count=1")
torch.set_grad_enabled(False) torch.set_grad_enabled(False)
torch.set_default_dtype(self.model_config.dtype) torch.set_default_dtype(self.model_config.dtype)