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I'm pretty new with tensorflow serving, now I'm working with client-end coding.

With the basic tutorial, I know I need to build a feature dictionary like:

feature_dict=
 'input_content':tf.train.Feature(...)
 'input_label':tf.train.Feature(...)

Then,

model_input=tf.train.Example(feature=tf.train.Features(feature=feature_dict))

Now, my question is, how can I put a list into the feature_dict?
Like, I have a 10 dimension list, I want to set it as the 'input_content', how can I get that?

A tf.train.Feature contains lists which may hold zero or more values. The lists could be of type BytesList, FloatList, or Int64List.

The following code adds a single float element (float_element) to the tf.train.Feature

tf.train.Feature(float_list=tf.train.FloatList(value=[float_element]))

Notice that the float_element is surrounded by square brackets (), i.e., a list is being created with a single element.
While trying to add a list (float_list), one should not use square brackets like the following code snippet.

tf.train.Feature(float_list=tf.train.FloatList(value=float_list))