trait Clip extends AnyRef
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- def clipByAverageNorm[T](input: Output[T], clipNorm: Output[T], name: String = "ClipByAverageNorm")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
- def clipByGlobalNorm[T](inputs: Seq[OutputLike[T]], clipNorm: Output[T], globalNorm: Output[T] = null, name: String = "ClipByGlobalNorm")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): (Seq[OutputLike[T]], Output[T])
- def clipByNorm[T, I](input: Output[T], clipNorm: Output[T], axes: Output[I] = null, name: String = "ClipByNorm")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): Output[T]
- def clipByValue[T](input: Output[T], clipValueMin: Output[T], clipValueMax: Output[T], name: String = "ClipByValue")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
- def clipByValueGradient[T](op: Op[(Output[T], Output[T], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (Output[T], Output[T], Output[T])
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- def clone(): AnyRef
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- def globalNorm[T](inputs: Seq[OutputLike[T]], name: String = "GlobalNorm")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): Output[T]
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