[Build] Add build info (#1386)

Add static build_info py file to show soc and sleep mode info. It helps
to make the code clean and the error info will be more friendly for
users

This PR also added the unit test for vllm_ascend/utils.py

This PR also added the base test class for all ut in tests/ut/base.py

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

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

@@ -0,0 +1,12 @@
+from tests.ut.base import TestBase
+
+
+class TestPatchDistributed(TestBase):
+
+    def test_GroupCoordinator_patched(self):
+        from vllm.distributed.parallel_state import GroupCoordinator
+
+        from vllm_ascend.patch.worker.patch_common.patch_distributed import \
+            GroupCoordinatorPatch
+
+        self.assertIs(GroupCoordinator, GroupCoordinatorPatch)

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

@@ -0,0 +1,28 @@
+import importlib
+import os
+import unittest
+from unittest import mock
+
+import torch
+from vllm.v1.sample.ops import topk_topp_sampler
+
+
+class TestTopKTopPSamplerOptimize(unittest.TestCase):
+
+    @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):
+        import vllm_ascend.patch.worker.patch_common.patch_sampler
+        importlib.reload(vllm_ascend.patch.worker.patch_common.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)