Tensor3

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 apply(layer: Int, row: Int, column: Int): Float

   

   Read location ("slice", "row", "column").

5. def asArrays(axis: Int): Array[Array[VirtualArray]]

   

   View the matrix as though it were a 2D array of arrays oriented along the specified "axis" (0 => layer axis, 1 => row axis, 2 => col axis).

   View the matrix as though it were a 2D array of arrays oriented along the specified "axis" (0 => layer axis, 1 => row axis, 2 => col axis).

   These arrays are both readable and writable and access the elements in this matrix.

6. final def asInstanceOf[T0]: T0

   

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7. def clone(): AnyRef

   

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8. val columns: Int

   

9. def copy: Tensor3

   

   Make an exact copy of "this".

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

    

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11. def equals(arg0: Any): Boolean

    

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12. def expand(bigShape: geometry.Shape, borderFill: Boolean = false): Tensor3

    

    Expand the matrix, optionally extending the border into the expanded region.

    Expand the matrix, optionally extending the border into the expanded region.

    This operation is a key part of the FFT. The new matrix is of size "bigRows" x "bigColumns" and element (0, 0) of this is anchored at (0, 0) in the larger matrix. If "borderFill" is true, then the four edges of the matrix are extended evenly in all directions, as though the bigger matrix were actually a torus with opposite edges touching.

13. def finalize(): Unit

    

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14. def flip: Tensor3

    

    Flip the matrix across each axis, needed for convolution.

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

    

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16. def hashCode(): Int

    

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17. final def isInstanceOf[T0]: Boolean

    

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18. val layers: Int

    

19. def map(f: (Float) ⇒ Float): Tensor3

    

    Map each element of "this" using "f".

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

    

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21. final def notify(): Unit

    

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22. final def notifyAll(): Unit

    

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23. def print: Unit

    

    Print out a matrix 3d for debugging.

24. val rows: Int

    

25. def shift(deltaSlice: Int, deltaRow: Int, deltaCol: Int): Tensor3

    

    Shift the values in "this" as though "this" were a torus with wrap around at the edges, top to bottom, left to right.

    Shift the values in "this" as though "this" were a torus with wrap around at the edges, top to bottom, left to right. The shifting is negative, so the value in this at location ("deltaRows", "deltaColumns") gets shifted to location (0, 0) in the result.

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

    

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27. def toString(): String

    

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28. def update(layer: Int, row: Int, column: Int, value: Float): Unit

    

    Write location ("layer", "row", "column") with "value".

29. final def wait(): Unit

    

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

    

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

    

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