how to use tf.variable() in tf session eager mode ?

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
15/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
java, tensorflow
Domain
machine-learning

Research direction

Start with TestSession.createTestSession(TestSession.Mode.EAGER), EagerSession.create(), session.getTF, and tf.variable in the reported example. Determine whether updating weightInputGate is supported in eager mode and document or define the required API behavior for the VariableV2 error.

Written by the indexing model from the issue text.

Description

implicit val session = TestSession.createTestSession(TestSession.Mode.EAGER) // EagerSession.create()
implicit val tf = session.getTF // Ops.create(session).withName("test")
implicit val scope = **tf.scope()*

val weightInputGate = tf.variable(getWeightMatrix(weightGatesDims, scope))
the console error : Op VariableV2 is not valid in eager mode. ,because I need update the weight about weightInputGate,how to do in eagerSession model ,thanks

Dominant language
Java
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