Clean up v0.9.1 code (#1672)

vllm has released 0.9.2. This PR drop 0.9.1 support.

- vLLM version: v0.9.1
- vLLM main:
b942c094e3

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>

tests/ut/patch/worker/patch_common/test_patch_sampler.py

@@ -1,31 +0,0 @@
-import importlib
-import os
-from unittest import mock
-
-import torch
-from vllm.v1.sample.ops import topk_topp_sampler
-
-from tests.ut.base import TestBase
-
-
-class TestTopKTopPSamplerOptimize(TestBase):
-
-    @mock.patch.dict(os.environ, {"VLLM_ASCEND_ENABLE_TOPK_OPTIMIZE": "1"})
-    @mock.patch("torch_npu.npu_top_k_top_p")
-    def test_npu_topk_topp_called_when_optimized(self, mock_npu_op):
-        # We have to patch and reload because the patch will take effect
-        # only after VLLM_ASCEND_ENABLE_TOPK_OPTIMIZE is set.
-        import vllm_ascend.patch.worker.patch_0_9_1.patch_sampler
-        importlib.reload(vllm_ascend.patch.worker.patch_0_9_1.patch_sampler)
-
-        mock_npu_op.return_value = (torch.randn(1, 3))
-        sampler = topk_topp_sampler.TopKTopPSampler()
-
-        logits = torch.tensor([[1.0, 2.0, 3.0]])
-        k = torch.tensor([2])
-        p = torch.tensor([0.9])
-        generators = {0: torch.Generator()}
-        generators[0].manual_seed(42)
-
-        sampler.forward_native(logits, generators, k, p)
-        mock_npu_op.assert_called_once_with(logits, p, k)