问题
I am writing a client python file that uses flask framework and running this inside a docker machine. So this take an input file and produces output of it. But it throws error that it cant convert to tensor.
tf.app.flags.DEFINE_string('server', 'localhost:9000', 'PredictionService host:port')
FLAGS = tf.app.flags.FLAGS
app = Flask(__name__)
class mainSessRunning():
def __init__(self):
host, port = FLAGS.server.split(':')
channel = implementations.insecure_channel(host, int(port))
self.stub = prediction_service_pb2.beta_create_PredictionService_stub(channel)
self.request = predict_pb2.PredictRequest()
self.request.model_spec.name = 'modelX'
self.request.model_spec.signature_name = 'prediction'
def inference(self, val_x):
data = val_x
self.request.inputs['input'].CopyFrom(tf.contrib.util.make_tensor_proto(data))
result = self.stub.Predict(self.request, 5.0)
return result
run = mainSessRunning()
# Define a route for the default URL, which loads the form
@app.route('/pred', methods=['POST'])
def pred():
request_data = request.files['file']
result = run.inference(request_data)
rs = json_format.MessageToJson(result)
return jsonify({'result':rs})
The error says:
TypeError: Failed to convert object of type (class'werkzeug.datastructures.File.Storage') to tensor. Contents: (Filestorage: u'File.txt' ('text/plain')). Consider casting elements to a supported type
This line produces the error:
self.request.inputs['input'].CopyFrom(tf.contrib.util.make_tensor_proto(data))
来源:https://stackoverflow.com/questions/49596937/failed-to-convert-object-of-type-class-werkzeug-datastructures-file-storage-t