fix variable type for top_p

applications/Colossal-LLaMA-2/inference_example.py

@@ -51,7 +51,7 @@ def generate(args):
     parser.add_argument('--do_sample', type=bool, default=True, help="Set whether or not to use sampling")
     parser.add_argument('--temperature', type=float, default=0.3, help="Set temperature value")
     parser.add_argument('--top_k', type=int, default=50, help="Set top_k value for top-k-filtering")
-    parser.add_argument('--top_p', type=int, default=0.95, help="Set top_p value for generation")
+    parser.add_argument('--top_p', type=float, default=0.95, help="Set top_p value for generation")
     parser.add_argument('--input_txt', type=str, default="明月松间照，", help="The prompt input to the model")
     args = parser.parse_args()
     generate(args)