[Bugfix][TPU] Fix CPU cache allocation (#5869)

vllm/attention/backends/pallas.py

@@ -37,11 +37,10 @@ class PallasAttentionBackend(AttentionBackend):
     ) -> None:
         src_k_cache, src_v_cache = src_kv_cache
         dst_k_cache, dst_v_cache = dst_kv_cache
+        src_indices, dst_indices = src_to_dst
+        device = dst_k_cache.device
         torch.ops.xla.dynamo_set_buffer_donor_(dst_k_cache, True)
         torch.ops.xla.dynamo_set_buffer_donor_(dst_v_cache, True)
-
-        device = dst_k_cache.device
-        src_indices, dst_indices = src_to_dst
         dst_k_cache[:, dst_indices] = src_k_cache[:, src_indices].to(device)
         dst_v_cache[:, dst_indices] = src_v_cache[:, src_indices].to(device)
 

vllm/worker/tpu_worker.py

@@ -156,14 +156,18 @@ class TPUWorker(LoraNotSupportedWorkerBase):
         self.tpu_cache = []
         tpu_cache_shape = self.model_runner.attn_backend.get_kv_cache_shape(
             num_gpu_blocks, self.block_size, num_kv_heads, head_size)
+        cpu_cache_shape = self.model_runner.attn_backend.get_kv_cache_shape(
+            num_cpu_blocks, self.block_size, num_kv_heads, head_size)
         for _ in range(num_layers):
             tpu_k_cache = torch.zeros(tpu_cache_shape,
                                       dtype=dtype,
                                       device=self.device)
             tpu_v_cache = torch.zeros_like(tpu_k_cache)
             self.tpu_cache.append((tpu_k_cache, tpu_v_cache))
-            cpu_k_cache = torch.zeros_like(tpu_k_cache, device="cpu")
-            cpu_v_cache = torch.zeros_like(tpu_v_cache, device="cpu")
+            cpu_k_cache = torch.zeros(cpu_cache_shape,
+                                      dtype=dtype,
+                                      device="cpu")
+            cpu_v_cache = torch.zeros_like(cpu_k_cache)
             self.cpu_cache.append((cpu_k_cache, cpu_v_cache))
         self._warmup_model()