init v0.23.0

Signed-off-by: Sun Ruoxi <sunruoxi@4paradigm.com>

tests/ut/sample/test_sampler.py

@@ -1,32 +1,10 @@
-from unittest import mock
-
-import torch
-
 from tests.ut.base import TestBase
 from vllm_ascend.sample.sampler import AscendSampler, AscendTopKTopPSampler
 
 
 class TestAscendSampler(TestBase):
-
     def test_init_with_raw_logprobs(self):
         sampler = AscendSampler(logprobs_mode="raw_logprobs")
         self.assertEqual(sampler.logprobs_mode, "raw_logprobs")
-        self.assertTrue(hasattr(sampler, 'topk_topp_sampler'))
+        self.assertTrue(hasattr(sampler, "topk_topp_sampler"))
         self.assertIsInstance(sampler.topk_topp_sampler, AscendTopKTopPSampler)
-
-
-class TestAscendTopKTopPSampler(TestBase):
-
-    @mock.patch("torch_npu.npu_top_k_top_p")
-    def test_npu_topk_topp_called_when_optimized(self, mock_npu_op):
-        mock_npu_op.return_value = (torch.randn(1, 3))
-        sampler = AscendTopKTopPSampler()
-
-        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)