{"action":"opened","issue":{"url":"https://api.github.com/repos/tensorflow/serving/issues/1039","repository_url":"https://api.github.com/repos/tensorflow/serving","labels_url":"https://api.github.com/repos/tensorflow/serving/issues/1039/labels{/name}","comments_url":"https://api.github.com/repos/tensorflow/serving/issues/1039/comments","events_url":"https://api.github.com/repos/tensorflow/serving/issues/1039/events","html_url":"https://github.com/tensorflow/serving/issues/1039","id":348673915,"node_id":"MDU6SXNzdWUzNDg2NzM5MTU=","number":1039,"title":"AbortionError(code=StatusCode.UNAVAILABLE, details=\"OS Error\")","user":{"login":"uniquezhengjie","id":30591323,"node_id":"MDQ6VXNlcjMwNTkxMzIz","avatar_url":"https://avatars3.githubusercontent.com/u/30591323?v=4","gravatar_id":"","url":"https://api.github.com/users/uniquezhengjie","html_url":"https://github.com/uniquezhengjie","followers_url":"https://api.github.com/users/uniquezhengjie/followers","following_url":"https://api.github.com/users/uniquezhengjie/following{/other_user}","gists_url":"https://api.github.com/users/uniquezhengjie/gists{/gist_id}","starred_url":"https://api.github.com/users/uniquezhengjie/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/uniquezhengjie/subscriptions","organizations_url":"https://api.github.com/users/uniquezhengjie/orgs","repos_url":"https://api.github.com/users/uniquezhengjie/repos","events_url":"https://api.github.com/users/uniquezhengjie/events{/privacy}","received_events_url":"https://api.github.com/users/uniquezhengjie/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-08-08T10:50:39Z","updated_at":"2018-08-08T10:50:39Z","closed_at":null,"author_association":"NONE","body":"i deployment my own model with tensorflow serving ,Usually it can work normally, but sometimes it gets such an error message: AbortionError(code=StatusCode.UNAVAILABLE, details=\"OS Error\") i don't know why,anybody can help me ?\r\n\r\nit my client code:\r\n\r\n\r\nchannel = implementations.insecure_channel(tfserving_food_cls_host, int(tfserving_foodcls_port)) stub = prediction_service_pb2.beta_create_PredictionService_stub(channel) \r\nserving_request = predict_pb2.PredictRequest() \r\nserving_request.model_spec.name = 'default' serving_request.model_spec.signature_name = 'predict_images'\r\n        serving_request.inputs['images'].CopyFrom(\r\n            tf.contrib.util.make_tensor_proto(image299,\r\n                                              shape=[1, 299, 299, 3]))\r\n        serving_results = stub.Predict(serving_request, 10)\r\n\r\n"}}
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