帮助我与tensorflow 模型部署部分。I“我遇到了与最后期限有关问题。
Exception in thread Thread-3:
stream1 | Traceback (most recent call last):
stream1 | File "/usr/lib/python3.6/threading.py", line 916, in _bootstrap_inner
stream1 | self.run()
stream1 | File "/usr/lib/python3.6/threading.py", line 864, in run
stream1 | self._target(*self._args, **self._kwargs)
stream1 | File "/app/camAppTF2.py", line 270, in frames
stream1 | boxes, pred_conf = do_inference(image=image_data)
stream1 | File "/app/tensorflow_client.py", line 36, in do_inference
stream1 | result = stub.Predict(pred_request, 10) # 10 secs timeout
stream1 | File "/usr/local/lib/python3.6/dist-packages/grpc/_channel.py", line 826, in __call__
stream1 | return _end_unary_response_blocking(state, call, False, None)
stream1 | File "/usr/local/lib/python3.6/dist-packages/grpc/_channel.py", line 729, in _end_unary_response_blocking
stream1 | raise _InactiveRpcError(state)
stream1 | grpc._channel._InactiveRpcError: <_InactiveRpcError of RPC that terminated with:
stream1 | status = StatusCode.DEADLINE_EXCEEDED
stream1 | details = "Deadline Exceeded"
stream1 | debug_error_string = " {"created":"@1611235122.120446804","description":"Error received from peer ipv4:192.168.112.3:8500","file":"src/core/lib/surface/call.cc","file_line":1056,"grpc_message":"Deadline Exceeded","grpc_status":4}"这是运行tensorflow服务时发生的错误
1条答案
按热度按时间pqwbnv8z1#
当tensorflow服务客户端无法与服务器通信时会发生这种情况。或者这也可能是由于网络错误造成的。如果您使用Docker托管您的tensorflow模型服务器，您需要按照下面提到的打开容器中的端口。您也可以延长默认时间，因为在某些情况下，模型服务器在请求到达之前就关闭了。谢谢！