如何使用python向tensorflow服务器(tensorflow-serving)发送请求？

pip install tensorflow tensorflow-serving-api

import grpc
import tensorflow as tf
from tensorflow_serving.apis import predict_pb2
from tensorflow_serving.apis import prediction_service_pb2_grpc

server_ip = 'localhost'  # TensorFlow Serving服务器的IP地址
server_port = '8500'  # TensorFlow Serving服务器的端口号

channel = grpc.insecure_channel(f'{server_ip}:{server_port}')

stub = prediction_service_pb2_grpc.PredictionServiceStub(channel)

request = predict_pb2.PredictRequest()
request.model_spec.name = 'your_model_name'  # 指定模型的名称
request.model_spec.signature_name = 'serving_default'  # 指定模型的签名名称

# 构建输入数据
request.inputs['input_name'].CopyFrom(tf.make_tensor_proto(your_input_data))

response = stub.Predict(request)

output = response.outputs['output_name']
output_data = tf.make_ndarray(output)