Clip

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. final def asInstanceOf[T0]: T0

   

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5. def clipByAverageNorm(input: Output, clipNorm: Output, name: String = "ClipByAverageNorm"): Output

   

   $OpDocClipClipByAverageNorm

   $OpDocClipClipByAverageNorm

   input

   Input tensor.

   clipNorm

   0-D (scalar) tensor > 0, specifying the maximum clipping value.

   name

   Name prefix for created ops.

   returns

   Created op output.

   Definition Classes

   Clip

6. def clipByGlobalNorm(inputs: Seq[OutputLike], clipNorm: Output, globalNorm: Output = null, name: String = "ClipByGlobalNorm"): (Seq[OutputLike], Output)

   

   $OpDocClipClipByGlobalNorm

   $OpDocClipClipByGlobalNorm

   inputs

   Input tensors.

   clipNorm

   0-D (scalar) tensor > 0, specifying the maximum clipping value.

   globalNorm

   0-D (scalar) tensor containing the global norm to use. If not provided, globalNorm() is used to compute the norm.

   name

   Name prefix for created ops.

   returns

   Tuple containing the clipped tensors as well as the global norm that was used for the clipping.

   Definition Classes

   Clip

7. def clipByNorm(input: Output, clipNorm: Output, axes: Output = null, name: String = "ClipByNorm"): Output

   

   $OpDocClipClipByNorm

   $OpDocClipClipByNorm

   input

   Input tensor.

   clipNorm

   0-D (scalar) tensor > 0, specifying the maximum clipping value.

   axes

   1-D (vector) INT32 tensor containing the dimensions to use for computing the l2-norm. If null (the default), all dimensions are used.

   name

   Name prefix for created ops.

   returns

   Created op output.

   Definition Classes

   Clip

8. def clipByValue(input: Output, clipValueMin: Output, clipValueMax: Output, name: String = "ClipByValue"): Output

   

   $OpDocClipClipByValue

   $OpDocClipClipByValue

   input

   Input tensor.

   clipValueMin

   0-D (scalar) tensor, or a tensor with the same shape as input, specifying the minimum value to clip by.

   clipValueMax

   0-D (scalar) tensor, or a tensor with the same shape as input, specifying the maximum value to clip by.

   name

   Name prefix for created ops.

   returns

   Created op output.

   Definition Classes

   Clip

9. def clone(): AnyRef

   

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   protected[java.lang]

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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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    protected[java.lang]

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

    

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14. def globalNorm(inputs: Seq[OutputLike], name: String = "GlobalNorm"): Output

    

    $OpDocClipGlobalNorm

    $OpDocClipGlobalNorm

    inputs

    Input tensors.

    name

    Name prefix for created ops.

    returns

    Created op output.

    Definition Classes

    Clip

15. def hashCode(): Int

    

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16. final def isInstanceOf[T0]: Boolean

    

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

    

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18. final def notify(): Unit

    

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19. final def notifyAll(): Unit

    

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

    

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21. def toString(): String

    

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22. final def wait(): Unit

    

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

    

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

    

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