How to represent the [variable_scope] and [get_variable] in tensorflow java ?

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Assessment

Difficulty
3/5
Estimated time
1-2 days
Newbie friendliness
30/100
Issue type
Documentation
Clarity
Needs clarification
Activity status
Stale
Tech stack
java, tensorflow
Domain
machine-learning

Research direction

Start by checking the TensorFlow Java API documentation for equivalents to the Python variable_scope and get_variable APIs shown in the issue. Provide a Java example covering the requested variable creation and scoping behavior, and clarify whether a direct equivalent exists.

Written by the indexing model from the issue text.

Description

HI :
write the tensorflow code in python ,we always use with the variable_scope and get_variable method , like this

        with tf.compat.v1.variable_scope('Qifficulty'):
            question_difficulty_weights = tf.compat.v1.get_variable('weights', [q.get_shape()[-1], 1],
                                                          initializer= tf.initializers.glorot_uniform(seed=0))
                                                          # layers.xavier_initializer(seeed=0))
            question_difficulty_biases = tf.compat.v1.get_variable('biases', [1],
                                                         initializer=tf.compat.v1.zeros_initializer())
            question_difficulty = tf.nn.tanh(tf.matmul(q, question_difficulty_weights) + question_difficulty_biases)

 but in  java ,we can not use  with key word , and   I also can not  find [variable_scope] and [get_variable]  two apis.

I just want to know How to represent the [variable_scope] and [get_variable] in tensorflow java ,could we give me a damo about these?

Dominant language
Java
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