Tensorflow serving variable file

Question

I'm about to do tensorflow serving.

pb file and variable folder are created. but No file was created under the variable folder.

like this

    └── variables
        ├── variables.data-00000-of-00001
        └── variables.index

After further experimentation, I found that the file only occurs when output is output to tf.Variable.

for example

1) z = tf.Variable(3,dtype=tf.float32)

2) z = tf.constant(3,dtype=tf.float32)

1) is created the file but 2) is not created file

z is output variable

signature_def_map= {
                "serving_default": tf.saved_model.signature_def_utils.predict_signature_def( 
                    inputs= {"egg": x, "bacon":y},
                    outputs= {"spam": z})
            })

Is it right that I found out?

The above explanation is a test result as a simple example.

This is what I really want to do

sIdSorted = tf.gather(sId, indices[::-1])[0:5]
sess=tf.Session()
print sess.run(sIdSorted,feed_dict={userLat:37.12,userLon:127.2}) 

As a result of printing, it was output as follows. ['s7' 's1' 's2' 's3' 's4']

However, in this way, nothing is displayed in the variable folder.....

So I tried to output to tf.variable.

sIdSorted = tf.Variable(tf.gather(sId, indices[::-1])[0:5])

but This will output an error to the following.

initial_value must have a shape specified: Tensor("strided_slice_1:0", dtype=string)

so I tried it as follows.

sIdSorted = tf.Variable(tf.constant(tf.gather(sId, indices[::-1])[0:5],shape=[5])) 

but This will output an error to the following.

List of Tensors when single Tensor expected

I need your help. Thank you for reading.

**tensorflow version :1.3.0 python 2.x

Answer 1

That is correct: only tf.Variables result in variable files being exported. Those files contain the actual values of the variables. The graph structure itself is stored in the saved_model.pb. That's where your gather (and any other ops) are. You should be able to serve the model.