tensorflow-serving-example

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Hi, can you give difference between tensorflow-serving: 1.12.0 and tensorflow-serving api: 1.12.0 . i want to know the difference between tensorflow serving and tensorflow serving api

amrithadevadiga

Thank you so much for sharing this example. I followed the tutorial step by step and got this error when running the following: ``` TENSORFLOW_SERVER_HOST="0.0.0.0" python python/grpc_mnist_client.py \ --image ./data/0.png...

ChanningPing

AbortionError(code=StatusCode.FAILED_PRECONDITION, details="Attempting to use uninitialized value conv2d/kernel [[Node: conv2d/kernel/read = Identity[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"](conv2d/kernel)]] [[Node: ArgMax/_3 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_94_ArgMax", tensor_type=DT_INT64, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]")

4

Hi, I built the model in TF-serving-gpu, copied it to the server, and it starts fine. When calling I get an error however: root@a0bf24294b1b:/tf-serving-example/tensorflow-serving-example# python python/grpc_mnist_client.py --image ./data/0.png --model mnist...

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