Trait

org.emergentorder.onnx

BatchNormalization

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trait BatchNormalization extends Operator

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Abstract Value Members

  1. abstract def callOp[T, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17](name: String, opName: String, inputs: (T, T1, T2, T3, T4, T5, T6, T7, T8), attrs: Map[String, Any])(implicit arg0: ClassTag[T], arg1: ClassTag[T1], arg2: ClassTag[T2], arg3: ClassTag[T3], arg4: ClassTag[T4], arg5: ClassTag[T5], arg6: ClassTag[T6], arg7: ClassTag[T7], arg8: ClassTag[T8], arg9: ClassTag[T9], arg10: ClassTag[T10], arg11: ClassTag[T11], arg12: ClassTag[T12], arg13: ClassTag[T13], arg14: ClassTag[T14], arg15: ClassTag[T15], arg16: ClassTag[T16], arg17: ClassTag[T17]): T9

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Concrete Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. def BatchNormalization1[T](name: String, consumed_inputs: Option[Array[Int]], epsilon: Option[Float] = None, is_test: Option[Int] = None, momentum: Option[Float] = None, spatial: Option[Int] = None, X: Option[Tensor[T]], scale: Option[Tensor[T]], B: Option[Tensor[T]], mean: Option[Tensor[T]], someVar: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]

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  5. def BatchNormalization6[T](name: String, epsilon: Option[Float] = None, is_test: Option[Int] = None, momentum: Option[Float] = None, spatial: Option[Int] = None, X: Option[Tensor[T]], scale: Option[Tensor[T]], B: Option[Tensor[T]], mean: Option[Tensor[T]], someVar: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]

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  6. def BatchNormalization7[T](name: String, epsilon: Option[Float] = None, momentum: Option[Float] = None, spatial: Option[Int] = None, X: Option[Tensor[T]], scale: Option[Tensor[T]], B: Option[Tensor[T]], mean: Option[Tensor[T]], someVar: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]

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  7. def BatchNormalization9[T](name: String, epsilon: Option[Float] = None, momentum: Option[Float] = None, X: Option[Tensor[T]], scale: Option[Tensor[T]], B: Option[Tensor[T]], mean: Option[Tensor[T]], someVar: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]

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  8. final def asInstanceOf[T0]: T0

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  9. def clone(): AnyRef

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  10. final def eq(arg0: AnyRef): Boolean

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  11. def equals(arg0: Any): Boolean

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  12. def finalize(): Unit

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  13. final def getClass(): Class[_]

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  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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  16. final def ne(arg0: AnyRef): Boolean

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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  19. final def synchronized[T0](arg0: ⇒ T0): T0

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  20. def toString(): String

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  21. final def wait(): Unit

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  22. final def wait(arg0: Long, arg1: Int): Unit

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  23. final def wait(arg0: Long): Unit

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Inherited from Operator

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