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Description
Hello!
I wonder, how does tfdeploy deal with tf queues? I don't use placeholder in my model but a graph like file_name_queue -> data_reader -> dnn. I get these error messages when saving my model:
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File "/usr/local/lib/python3.5/dist-packages/tfdeploy.py", line 194, in __call __
inst = super(TensorRegister, cls).call(tf_tensor, *args, **kwargs)
File "/usr/local/lib/python3.5/dist-packages/tfdeploy.py", line 249, in __init __
self.op = Operation.new(tf_tensor.op, tf_sess, tf_feed_dict=tf_feed_dict)
File "/usr/local/lib/python3.5/dist-packages/tfdeploy.py", line 422, in new
raise UnknownOperationException("unknown operation: %s" % tf_op.type)
tfdeploy.UnknownOperationException: unknown operation: QueueDequeueManyV2