how to use tf.variable() in tf session eager mode ?
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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
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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.
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Assessment
- Tech stack
- java, tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100