[Serving]update np.object to np.object_ (#1021)

np.object to np.object_

Author: heliqi

examples/text/uie/serving/models/uie/1/model.py

@@ -141,7 +141,7 @@ def execute(self, requests):
                 self.uie_model_.set_schema(schema)
             results = self.uie_model_.predict(texts, return_dict=True)
 
-            results = np.array(results, dtype=np.object)
+            results = np.array(results, dtype=np.object_)
             out_tensor = pb_utils.Tensor(self.output_names[0], results)
             inference_response = pb_utils.InferenceResponse(
                 output_tensors=[out_tensor, ])

examples/vision/classification/paddleclas/serving/models/postprocess/1/model.py

@@ -92,7 +92,7 @@ def execute(self, requests):
             results = self.postprocess_.run([infer_outputs, ])
             r_str = fd.vision.utils.fd_result_to_json(results)
 
-            r_np = np.array(r_str, dtype=np.object)
+            r_np = np.array(r_str, dtype=np.object_)
             out_tensor = pb_utils.Tensor(self.output_names[0], r_np)
             inference_response = pb_utils.InferenceResponse(
                 output_tensors=[out_tensor, ])

examples/vision/detection/paddledetection/serving/models/postprocess/1/model.py

@@ -95,7 +95,7 @@ def execute(self, requests):
             results = self.postprocess_.run(infer_outputs)
             r_str = fd.vision.utils.fd_result_to_json(results)
 
-            r_np = np.array(r_str, dtype=np.object)
+            r_np = np.array(r_str, dtype=np.object_)
             out_tensor = pb_utils.Tensor(self.output_names[0], r_np)
             inference_response = pb_utils.InferenceResponse(
                 output_tensors=[out_tensor, ])

examples/vision/detection/yolov5/serving/models/postprocess/1/model.py

@@ -96,7 +96,7 @@ def execute(self, requests):
 
             results = self.postprocessor_.run([infer_outputs], im_infos)
             r_str = fd.vision.utils.fd_result_to_json(results)
-            r_np = np.array(r_str, dtype=np.object)
+            r_np = np.array(r_str, dtype=np.object_)
 
             out_tensor = pb_utils.Tensor(self.output_names[0], r_np)
             inference_response = pb_utils.InferenceResponse(

examples/vision/detection/yolov5/serving/models/preprocess/1/model.py

@@ -95,7 +95,7 @@ def execute(self, requests):
                                                           dlpack_tensor)
             output_tensor_1 = pb_utils.Tensor(
                 self.output_names[1], np.array(
-                    im_infos, dtype=np.object))
+                    im_infos, dtype=np.object_))
             inference_response = pb_utils.InferenceResponse(
                 output_tensors=[output_tensor_0, output_tensor_1])
             responses.append(inference_response)