[Misc] Remove some parts of metrics patch (#603)

### What this PR does / why we need it?
Remove some parts of metrics patch, since the `cuda` hard code has been
fixed by https://github.com/vllm-project/vllm/pull/14411.

Signed-off-by: shen-shanshan <467638484@qq.com>

vllm_ascend/patch/worker/patch_common/patch_metrics.py

@@ -15,46 +15,13 @@
 # limitations under the License.
 #
 
-from typing import Callable, Optional, Union
+from typing import Callable
 
 import torch
-import torch_npu
-from vllm.spec_decode.metrics import (AsyncMetricsCollector,
-                                      SpecDecodeWorkerMetrics)
+from vllm.spec_decode.metrics import AsyncMetricsCollector
 
 Timer = Callable[[], float]
 
-# TODO: revert this patch when the cuda hard code is removed in vllm
-# init_tensors: Modified the hard-coded cuda judgment logic to npu;
-# maybe_collect_rejsample_metrics: Removed the check for current_platform.is_cuda_alike()
-
-
-def init_tensors(self,
-                 rank: int,
-                 device_type: Union[torch.device, str] = 'npu') -> None:
-    self._rank = rank
-    if isinstance(device_type, torch.device):
-        device_type = device_type.type
-    if device_type == 'npu':
-        self._copy_stream = torch_npu.npu.Stream()
-
-
-def maybe_collect_rejsample_metrics(
-        self, k: int) -> Optional[SpecDecodeWorkerMetrics]:
-
-    # If a copy was initiated in the previous call, collect and return.
-    if self._in_flight_copy is not None:
-        ready_event = self._in_flight_copy
-        self._in_flight_copy = None
-        return self._collect_rejsample_metrics(k, ready_event)
-
-    # Otherwise, check if we should start a new copy.
-    if self._should_collect_rejsample_metrics(self._timer()):
-        assert self._in_flight_copy is None
-        self._in_flight_copy = self._copy_rejsample_metrics_async()
-
-    return None
-
 
 def _copy_rejsample_metrics_async(self) -> torch.npu.Event:
     """
@@ -83,6 +50,4 @@ def _copy_rejsample_metrics_async(self) -> torch.npu.Event:
     return aggregate_metrics_ready
 
 
-AsyncMetricsCollector.init_tensors = init_tensors
-AsyncMetricsCollector.maybe_collect_rejsample_metrics = maybe_collect_rejsample_metrics
 AsyncMetricsCollector._copy_rejsample_metrics_async = _copy_rejsample_metrics_async