[V1] Prevent xgrammar from breaking TPU support (#14575)

Signed-off-by: Russell Bryant <rbryant@redhat.com>

vllm/v1/engine/processor.py

@@ -4,6 +4,7 @@ import time
 from collections.abc import Mapping
 from typing import Optional, Union
 
+import vllm.platforms
 from vllm.config import VllmConfig
 from vllm.inputs import (INPUT_REGISTRY, InputRegistry, ProcessorInputs,
                          PromptType, SingletonInputsAdapter)
@@ -133,6 +134,9 @@ class Processor:
         if self.vllm_config.speculative_config:
             raise ValueError("Structured output is not supported with "
                              "speculative decoding.")
+        if vllm.platforms.current_platform.is_tpu():
+            raise ValueError("Structured output is not supported on TPU.")
+
         validate_structured_output_request(params)
 
     def process_inputs(

vllm/v1/structured_output/__init__.py

@@ -17,6 +17,7 @@ from vllm.v1.structured_output.grammar import (Grammar, StructuredOutputKey,
 if TYPE_CHECKING:
     import numpy as np
     import numpy.typing as npt
+    import torch
     import xgrammar as xgr
 
     from vllm.v1.request import Request
@@ -53,8 +54,7 @@ class StructuredOutputManager:
         # compilation, so we set it to half the number of CPUs.
         max_workers = max(1, (multiprocessing.cpu_count() + 1) // 2)
         self.executor = ThreadPoolExecutor(max_workers=max_workers)
-        self._grammar_bitmask = xgr.allocate_token_bitmask(
-            self.vllm_config.scheduler_config.max_num_seqs, self.vocab_size)
+        self._grammar_bitmask: Optional[torch.Tensor] = None
 
     def __getitem__(self, key: StructuredOutputKey) -> Optional[Grammar]:
         # We need to pop and re-insert the grammar here for LRU cache
@@ -134,6 +134,11 @@ class StructuredOutputManager:
         if not structured_output_request_ids:
             return None
 
+        if self._grammar_bitmask is None:
+            self._grammar_bitmask = xgr.allocate_token_bitmask(
+                self.vllm_config.scheduler_config.max_num_seqs,
+                self.vocab_size)
+
         # Fill the bitmask using the index of each request equal to its
         # position in the batch. Resize the bitmask down to the size of
         # the batch.