case class TrainOps[TrainIn, TrainOut, Loss](inputIterator: DatasetIterator[TrainIn], input: TrainIn, output: TrainOut, loss: ops.Output[Loss], gradientsAndVariables: Seq[(ops.OutputLike[Loss], ops.variables.Variable[Any])], trainOp: ops.UntypedOp)(implicit evidence$7: core.types.TF[Loss], evidence$8: core.types.IsFloatOrDouble[Loss]) extends Product with Serializable
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- new TrainOps(inputIterator: DatasetIterator[TrainIn], input: TrainIn, output: TrainOut, loss: ops.Output[Loss], gradientsAndVariables: Seq[(ops.OutputLike[Loss], ops.variables.Variable[Any])], trainOp: ops.UntypedOp)(implicit arg0: core.types.TF[Loss], arg1: core.types.IsFloatOrDouble[Loss])
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- val gradientsAndVariables: Seq[(ops.OutputLike[Loss], ops.variables.Variable[Any])]
- val input: TrainIn
- val inputIterator: DatasetIterator[TrainIn]
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- val loss: ops.Output[Loss]
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- val output: TrainOut
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- val trainOp: ops.UntypedOp
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