[TPU] Enable gemma3-27b with TP>1 on multi-chips. (#17335)

Signed-off-by: Xiongfei Wei <isaacwxf23@gmail.com>

tests/v1/tpu/test_basic.py

@@ -8,6 +8,7 @@ from __future__ import annotations
 from typing import TYPE_CHECKING
 
 import pytest
+from torch_xla._internal import tpu
 
 from vllm.platforms import current_platform
 
@@ -63,3 +64,45 @@ def test_basic(
         output = vllm_outputs[0][1]
 
         assert "1024" in output or "0, 1" in output
+
+
+TP_SIZE_8 = 8
+
+
+@pytest.mark.skipif(not current_platform.is_tpu(),
+                    reason="This is a test for TPU only")
+@pytest.mark.skipif(tpu.num_available_chips() < TP_SIZE_8,
+                    reason=f"This test requires {TP_SIZE_8} TPU chips.")
+def test_gemma3_27b_with_text_input_and_tp(
+    vllm_runner: type[VllmRunner],
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    model = "google/gemma-3-27b-it"
+    max_tokens = 16
+    tensor_parallel_size = TP_SIZE_8
+    max_num_seqs = 4
+    prompts = [
+        "A robot may not injure a human being",
+        "It is only with the heart that one can see rightly;",
+        "The greatest glory in living lies not in never falling,",
+    ]
+    answers = [
+        " or, through inaction, allow a human being to come to harm.",
+        " what is essential is invisible to the eye.",
+        " but in rising every time we fall.",
+    ]
+
+    with monkeypatch.context() as m:
+        m.setenv("VLLM_USE_V1", "1")
+
+        with vllm_runner(
+                model,
+                max_num_batched_tokens=256,
+                max_num_seqs=max_num_seqs,
+                tensor_parallel_size=tensor_parallel_size) as vllm_model:
+            vllm_outputs = vllm_model.generate_greedy(prompts, max_tokens)
+        # vllm_outputs is a list of tuples whose first element is the token id
+        # and the second element is the output (including the prompt).
+        for output, answer in zip(vllm_outputs, answers):
+            generated_text = output[1]
+            assert answer in generated_text

vllm/platforms/tpu.py

@@ -30,6 +30,7 @@ class TpuPlatform(Platform):
     dispatch_key: str = "XLA"
     ray_device_key: str = "TPU"
     device_control_env_var: str = "TPU_VISIBLE_CHIPS"
+    simple_compile_backend: str = "openxla"
 
     supported_quantization: list[str] = ["tpu_int8", "compressed-tensors"]