com.intel.analytics.bigdl.nn

NNPrimitive

object NNPrimitive

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

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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  8. def col2imDouble(fInput: Tensor[Double], input: Tensor[Double], kW: Int, kH: Int, dW: Int, dH: Int, padW: Int, padH: Int, nInputPlane: Int, inputWidth: Int, inputHeight: Int, outputWidth: Int, outputHeight: Int): Unit

  9. def col2imFloat(fInput: Tensor[Float], input: Tensor[Float], kW: Int, kH: Int, dW: Int, dH: Int, padW: Int, padH: Int, nInputPlane: Int, inputWidth: Int, inputHeight: Int, outputWidth: Int, outputHeight: Int): Unit

  10. def col2imWithDilationDouble(columns: Tensor[Double], image: Tensor[Double], channels: Int, height: Int, width: Int, kernelH: Int, kernelW: Int, padH: Int, padW: Int, strideH: Int, strideW: Int, dilationH: Int, dilationW: Int): Unit

  11. def col2imWithDilationFloat(columns: Tensor[Float], image: Tensor[Float], channels: Int, height: Int, width: Int, kernelH: Int, kernelW: Int, padH: Int, padW: Int, strideH: Int, strideW: Int, dilationH: Int, dilationW: Int): Unit

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

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  13. def equals(arg0: Any): Boolean

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  14. def finalize(): Unit

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

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  16. def hashCode(): Int

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  17. def im2colDouble(fInput: Tensor[Double], input: Tensor[Double], kW: Int, kH: Int, dW: Int, dH: Int, padW: Int, padH: Int, nInputPlane: Int, inputWidth: Int, inputHeight: Int, outputWidth: Int, outputHeight: Int): Unit

  18. def im2colFloat(fInput: Tensor[Float], input: Tensor[Float], kW: Int, kH: Int, dW: Int, dH: Int, padW: Int, padH: Int, nInputPlane: Int, inputWidth: Int, inputHeight: Int, outputWidth: Int, outputHeight: Int): Unit

  19. def im2colWithDilationDouble(image: Tensor[Double], columns: Tensor[Double], channels: Int, height: Int, width: Int, kernelH: Int, kernelW: Int, padH: Int, padW: Int, strideH: Int, strideW: Int, dilationH: Int, dilationW: Int): Unit

  20. def im2colWithDilationFloat(image: Tensor[Float], columns: Tensor[Float], channels: Int, height: Int, width: Int, kernelH: Int, kernelW: Int, padH: Int, padW: Int, strideH: Int, strideW: Int, dilationH: Int, dilationW: Int): Unit

  21. final def isInstanceOf[T0]: Boolean

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  22. def maxPoolingBackwardDouble(gradInput: Array[Double], gradInputOffset: Int, gradOutput: Array[Double], gradOutputOffset: Int, indices: Array[Double], indicesOffset: Int, nSlices: Int, iwidth: Int, iheight: Int, owidth: Int, oheight: Int): Unit

  23. def maxPoolingBackwardFloat(gradInput: Array[Float], gradInputOffset: Int, gradOutput: Array[Float], gradOutputOffset: Int, indices: Array[Float], indicesOffset: Int, nSlices: Int, iwidth: Int, iheight: Int, owidth: Int, oheight: Int): Unit

  24. def maxPoolingForwardDouble(input: Array[Double], inputOffset: Int, output: Array[Double], outputOffset: Int, indices: Array[Double], indicesOffset: Int, nSlices: Int, iWidth: Int, iHeight: Int, oWidth: Int, oHeight: Int, kW: Int, kH: Int, dW: Int, dH: Int, padW: Int, padH: Int): Unit

  25. def maxPoolingForwardFloat(input: Array[Float], inputOffset: Int, output: Array[Float], outputOffset: Int, indices: Array[Float], indicesOffset: Int, nSlices: Int, iWidth: Int, iHeight: Int, oWidth: Int, oHeight: Int, kW: Int, kH: Int, dW: Int, dH: Int, padW: Int, padH: Int): Unit

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

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  27. final def notify(): Unit

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  28. final def notifyAll(): Unit

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

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  30. def toString(): String

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  31. def unfoldedAccVolDouble(fInput: Tensor[Double], input: Tensor[Double], kT: Int, kW: Int, kH: Int, dT: Int, dW: Int, dH: Int, pT: Int, pW: Int, pH: Int, nInputPlane: Int, inputDepth: Int, inputWidth: Int, inputHeight: Int, outputDepth: Int, outputWidth: Int, outputHeight: Int): Unit

  32. def unfoldedAccVolFloat(fInput: Tensor[Float], input: Tensor[Float], kT: Int, kW: Int, kH: Int, dT: Int, dW: Int, dH: Int, pT: Int, pW: Int, pH: Int, nInputPlane: Int, inputDepth: Int, inputWidth: Int, inputHeight: Int, outputDepth: Int, outputWidth: Int, outputHeight: Int): Unit

  33. def unfoldedCopyVolDouble(fInput: Tensor[Double], input: Tensor[Double], kT: Int, kW: Int, kH: Int, dT: Int, dW: Int, dH: Int, pT: Int, pW: Int, pH: Int, nInputPlane: Int, inputDepth: Int, inputWidth: Int, inputHeight: Int, outputDepth: Int, outputWidth: Int, outputHeight: Int): Unit

  34. def unfoldedCopyVolFloat(fInput: Tensor[Float], input: Tensor[Float], kT: Int, kW: Int, kH: Int, dT: Int, dW: Int, dH: Int, pT: Int, pW: Int, pH: Int, nInputPlane: Int, inputDepth: Int, inputWidth: Int, inputHeight: Int, outputDepth: Int, outputWidth: Int, outputHeight: Int): Unit

  35. final def wait(): Unit

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

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

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