fix test_air_top_p_sampling name (#3211)

Author: ckl117

test/operators/test_air_topp_sampling.py renamed to test/operators/test_air_top_p_sampling.py

@@ -11,7 +11,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""UT for air_topp_sampling kernel"""
+"""UT for air_top_p_sampling kernel"""
 
 import subprocess
 import unittest
@@ -36,19 +36,19 @@ def setUp(self):
         release_idx = output.index("release") + 1
         self.nvcc_cuda_version = float(output[release_idx].split(",")[0])
 
-    def test_air_topp_sampling(self):
+    def test_air_top_p_sampling(self):
         """
-        Check air_topp_sampling output with paddle.tensor.top_p_sampling.
+        Check air_top_p_sampling output with paddle.tensor.top_p_sampling.
         """
         if self.nvcc_cuda_version < 12.0:
-            self.skipTest("air_topp_sampling only support cu12+")
+            self.skipTest("air_top_p_sampling only support cu12+")
         bsz = 8
         vocab_size = 103424
         x = paddle.randn([bsz, vocab_size])
         x = paddle.nn.functional.softmax(x)
         x = paddle.cast(x, "float32")
         top_ps = paddle.to_tensor(np.random.uniform(0, 1, [bsz]).astype(np.float32))
-        _, next_tokens = fastdeploy.model_executor.ops.gpu.air_topp_sampling(
+        _, next_tokens = fastdeploy.model_executor.ops.gpu.air_top_p_sampling(
             x.cuda(), top_ps.cuda(), None, None, seed=0, k=1, mode="truncated"
         )
         print(next_tokens)