diff --git a/vllm/_custom_ops.py b/vllm/_custom_ops.py
index 4e98cd2d73d..b18e6c156c4 100644
--- a/vllm/_custom_ops.py
+++ b/vllm/_custom_ops.py
@@ -573,4 +573,4 @@ def dispatch_bgmv_low_level(
         names_and_values_to_update[k] = hint_on_error(v)
 
 names_and_values.update(names_and_values_to_update)
-del names_and_values_to_update, names_and_values, v, k, fn_type
\ No newline at end of file
+del names_and_values_to_update, names_and_values, v, k, fn_type
diff --git a/vllm/attention/selector.py b/vllm/attention/selector.py
index 07f1264b1db..48128155470 100644
--- a/vllm/attention/selector.py
+++ b/vllm/attention/selector.py
@@ -62,8 +62,8 @@ def get_attn_backend(
             ROCmFlashAttentionBackend)
         return ROCmFlashAttentionBackend
     elif backend == _Backend.TORCH_SDPA:
-        assert is_cpu(), RuntimeError(
-            "Torch SDPA backend is only used for the CPU device.")
+        # assert is_cpu(), RuntimeError(
+        #     "Torch SDPA backend is only used for the CPU device.")
         logger.info("Using Torch SDPA backend.")
         from vllm.attention.backends.torch_sdpa import TorchSDPABackend
         return TorchSDPABackend
diff --git a/vllm/spec_decode/spec_decode_worker.py b/vllm/spec_decode/spec_decode_worker.py
index 56e6901f760..2d9ad9a3719 100644
--- a/vllm/spec_decode/spec_decode_worker.py
+++ b/vllm/spec_decode/spec_decode_worker.py
@@ -67,7 +67,7 @@ def create_spec_worker(*args, **kwargs) -> "SpecDecodeWorker":
         typical_acceptance_sampler_posterior_threshold=speculative_config.
         typical_acceptance_sampler_posterior_threshold,
         typical_acceptance_sampler_posterior_alpha=speculative_config.
-        typical_acceptance_sampler_posterior_alpha
+        typical_acceptance_sampler_posterior_alpha,
         cpu_draft_worker=speculative_config.cpu_draft_worker)
 
     return spec_decode_worker
@@ -132,8 +132,8 @@ def create_worker(
             draft_tp = draft_parallel_config.tensor_parallel_size
             target_tp = scorer_worker.parallel_config.tensor_parallel_size
 
-            if draft_tp == 1:
-                draft_worker_kwargs["model_runner_cls"] = TP1DraftModelRunner
+            # if draft_tp == 1:
+            #     draft_worker_kwargs["model_runner_cls"] = TP1DraftModelRunner
             if cpu_draft_worker:
                 cpu_draft_worker_kwargs = copy.deepcopy(draft_worker_kwargs)
                 from vllm.executor.cpu_executor import (