[TPU] update torch_xla pin (#19231)

Signed-off-by: Chengji Yao <chengjiyao@google.com>

requirements/tpu.txt

@@ -18,9 +18,9 @@ setuptools==78.1.0
 --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/jaxlib_nightly_releases.html
-torch==2.8.0.dev20250529
-torchvision==0.22.0.dev20250529
-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.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.dev20250529-cp311-cp311-linux_x86_64.whl ; python_version == "3.11"
+torch==2.8.0.dev20250605
+torchvision==0.23.0.dev20250605
+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.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.dev20250605-cp311-cp311-linux_x86_64.whl ; python_version == "3.11"
 

tests/tpu/test_moe_pallas.py

@@ -27,7 +27,7 @@ TOP_KS = [2, 6]
 # 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("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("topk", TOP_KS)
 @pytest.mark.parametrize("ep_size", EP_SIZE)

vllm/v1/worker/tpu_worker.py

@@ -100,7 +100,8 @@ class TPUWorker:
         # `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.
         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_default_dtype(self.model_config.dtype)