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com.intel.analytics.bigdl.tensor

DenseTensorConv

object DenseTensorConv

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  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 clone(): AnyRef
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  6. def conv2Dmul[T](alpha: T, t: Tensor[T], k: Tensor[T], srow: Int, scol: Int, vf: Char, xc: Char)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
  7. def conv2d[T](output: Storage[T], _outputOffset: Int, alpha: T, input: Storage[T], _inputOffset: Int, nInputRows: Int, nInputCols: Int, kernel: Storage[T], _kernelOffset: Int, nKernelRows: Int, nKernelCols: Int, srow: Int, scol: Int, vf: Char, xc: Char)(implicit ev: TensorNumeric[T]): Unit
  8. def convSize(x: Int, k: Int, s: Int, vf: Char): Int
  9. final def eq(arg0: AnyRef): Boolean
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  10. def equals(arg0: Any): Boolean
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  11. def finalize(): Unit
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  12. def fullConv2Dptr[T](output: Storage[T], _outputOffset: Int, alpha: T, input: Storage[T], _inputOffset: Int, nInputRows: Int, nInputCols: Int, kernel: Storage[T], _kernelOffset: Int, nKernelRows: Int, nKernelCols: Int, srow: Int, scol: Int)(implicit ev: TensorNumeric[T]): Unit
  13. def fullXCorr2Dptr[T](output: Storage[T], _outputOffset: Int, alpha: T, input: Storage[T], _inputOffset: Int, nInputRows: Int, nInputCols: Int, kernel: Storage[T], _kernelOffset: Int, nKernelRows: Int, nKernelCols: Int, srow: Int, scol: Int)(implicit ev: TensorNumeric[T]): Unit
  14. final def getClass(): Class[_]
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  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. def validConv2Dptr[T](output: Storage[T], _outputOffset: Int, alpha: T, input: Storage[T], _inputOffset: Int, nInputRows: Int, nInputCols: Int, kernel: Storage[T], _kernelOffset: Int, nKernelRows: Int, nKernelCols: Int, srow: Int, scol: Int)(implicit ev: TensorNumeric[T]): Unit
  23. def validXCorr2DRevptr[T](gradWeight: Storage[T], _gradWeightOffset: Int, alpha: T, input: Storage[T], _inputOffset: Int, ir: Int, ic: Int, output: Storage[T], _outputOffset: Int, kr: Int, kc: Int, sr: Int, sc: Int)(implicit ev: TensorNumeric[T]): Unit
  24. def validXCorr2Dptr[T](output: Storage[T], _outputOffset: Int, alpha: T, input: Storage[T], _inputOffset: Int, nInputRows: Int, nInputCols: Int, kernel: Storage[T], _kernelOffset: Int, nKernelRows: Int, nKernelCols: Int, srow: Int, scol: Int)(implicit ev: TensorNumeric[T]): Unit
  25. final def wait(): Unit
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  26. final def wait(arg0: Long, arg1: Int): Unit
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  27. final def wait(arg0: Long): Unit
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