[TPU] Update PyTorch/XLA (#16288)

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

requirements/tpu.txt

@@ -17,10 +17,10 @@ ray[data]
 --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 @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch-2.8.0.dev20250406-cp39-cp39-linux_x86_64.whl ; python_version == "3.9"
-torch @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch-2.8.0.dev20250406-cp310-cp310-linux_x86_64.whl ; python_version == "3.10"
-torch @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch-2.8.0.dev20250406-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.dev20250406-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.dev20250406-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.dev20250406-cp311-cp311-linux_x86_64.whl ; python_version == "3.11"
+torch @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch-2.8.0.dev20250408-cp39-cp39-linux_x86_64.whl ; python_version == "3.9"
+torch @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch-2.8.0.dev20250408-cp310-cp310-linux_x86_64.whl ; python_version == "3.10"
+torch @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch-2.8.0.dev20250408-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.dev20250408-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.dev20250408-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.dev20250408-cp311-cp311-linux_x86_64.whl ; python_version == "3.11"
 

tests/v1/tpu/test_pallas.py

@@ -4,9 +4,7 @@ from unittest.mock import ANY, patch
 import torch
 
 from vllm.attention.backends.abstract import AttentionType
-from vllm.v1.attention.backends.pallas import (NUM_KV_PAGES_PER_BLOCK,
-                                               NUM_QUERIES_PER_BLOCK,
-                                               PallasAttentionBackendImpl,
+from vllm.v1.attention.backends.pallas import (PallasAttentionBackendImpl,
                                                PallasMetadata)
 
 
@@ -32,8 +30,6 @@ def test_ragged_paged_attention():
         logits_soft_cap=logits_soft_cap,
         attn_type=AttentionType.DECODER,
     )
-    mock_vmem_limit_bytes = 1024
-    attn_impl.vmem_limit_bytes = mock_vmem_limit_bytes
 
     class FakeAttentionLayer:
         _k_scale_float: float
@@ -88,9 +84,9 @@ def test_ragged_paged_attention():
             ANY,  # block_tables
             ANY,  # query_start_loc
             ANY,  # num_seqs
-            num_kv_pages_per_block=NUM_KV_PAGES_PER_BLOCK,
-            num_queries_per_block=NUM_QUERIES_PER_BLOCK,
-            vmem_limit_bytes=mock_vmem_limit_bytes,
+            num_kv_pages_per_block=None,
+            num_queries_per_block=None,
+            vmem_limit_bytes=None,
             use_kernel=True,
             sm_scale=scale,
             sliding_window=sliding_window,