Packages

class NGraphBackend extends Add with DataSource with Constant with ArgMin with ArgMax with Equal with GlobalAveragePool with Log with Softmax with Max with Min with Abs with Conv with Sigmoid with Gemm with Gather with Mul with Relu with MaxPool with Concat with Dropout with AveragePool with Reshape with AutoCloseable

Linear Supertypes
AutoCloseable, Reshape, AveragePool, Dropout, Concat, MaxPool, Relu, Mul, Gather, Gemm, Sigmoid, Conv, Abs, Min, Max, Softmax, Log, GlobalAveragePool, Equal, ArgMax, ArgMin, Constant, DataSource, Add, Operator, AnyRef, Any
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Inherited
  1. NGraphBackend
  2. AutoCloseable
  3. Reshape
  4. AveragePool
  5. Dropout
  6. Concat
  7. MaxPool
  8. Relu
  9. Mul
  10. Gather
  11. Gemm
  12. Sigmoid
  13. Conv
  14. Abs
  15. Min
  16. Max
  17. Softmax
  18. Log
  19. GlobalAveragePool
  20. Equal
  21. ArgMax
  22. ArgMin
  23. Constant
  24. DataSource
  25. Add
  26. Operator
  27. AnyRef
  28. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new NGraphBackend(onnxBytes: Array[Byte])

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def Abs1[T](name: String, consumed_inputs: Option[Array[Int]] = None, X: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UByte) ⇒ Nothing with (UShort) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Byte) ⇒ Nothing with (Short) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]
    Definition Classes
    NGraphBackend → Abs
  5. def Abs6[T](name: String, X: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UByte) ⇒ Nothing with (UShort) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Byte) ⇒ Nothing with (Short) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]
    Definition Classes
    NGraphBackend → Abs
  6. def Add1[T](name: String, axis: Option[Int] = None, broadcast: Option[Int] = None, consumed_inputs: Option[Array[Int]] = None, A: Option[Tensor[T]], B: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]
    Definition Classes
    NGraphBackend → Add
  7. def Add6[T](name: String, axis: Option[Int] = None, broadcast: Option[Int] = None, A: Option[Tensor[T]], B: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]
    Definition Classes
    NGraphBackend → Add
  8. def Add7[T](name: String, A: Option[Tensor[T]], B: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]
    Definition Classes
    NGraphBackend → Add
  9. def ArgMax1[T](name: String, axis: Option[Int] = None, keepdims: Option[Int] = None, data: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((UByte) ⇒ Nothing with (UShort) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Byte) ⇒ Nothing with (Short) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[Long]
    Definition Classes
    NGraphBackend → ArgMax
  10. def ArgMax11[T](name: String, axis: Option[Int] = None, keepdims: Option[Int] = None, data: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((UByte) ⇒ Nothing with (UShort) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Byte) ⇒ Nothing with (Short) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[Long]
    Definition Classes
    NGraphBackend → ArgMax
  11. def ArgMin1[T](name: String, axis: Option[Int] = None, keepdims: Option[Int] = None, data: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((UByte) ⇒ Nothing with (UShort) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Byte) ⇒ Nothing with (Short) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[Long]
    Definition Classes
    NGraphBackend → ArgMin
  12. def ArgMin11[T](name: String, axis: Option[Int] = None, keepdims: Option[Int] = None, data: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((UByte) ⇒ Nothing with (UShort) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Byte) ⇒ Nothing with (Short) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[Long]
    Definition Classes
    NGraphBackend → ArgMin
  13. def AveragePool1[T](name: String, auto_pad: Option[String] = None, kernel_shape: Option[Array[Int]], pads: Option[Array[Int]] = None, strides: Option[Array[Int]] = None, X: 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]
    Definition Classes
    NGraphBackend → AveragePool
  14. def AveragePool10[T](name: String, auto_pad: Option[String] = None, ceil_mode: Option[Int] = None, count_include_pad: Option[Int] = None, kernel_shape: Option[Array[Int]], pads: Option[Array[Int]] = None, strides: Option[Array[Int]] = None, X: 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]
    Definition Classes
    NGraphBackend → AveragePool
  15. def AveragePool11[T](name: String, auto_pad: Option[String] = None, ceil_mode: Option[Int] = None, count_include_pad: Option[Int] = None, kernel_shape: Option[Array[Int]], pads: Option[Array[Int]] = None, strides: Option[Array[Int]] = None, X: 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]
    Definition Classes
    NGraphBackend → AveragePool
  16. def AveragePool7[T](name: String, auto_pad: Option[String] = None, count_include_pad: Option[Int] = None, kernel_shape: Option[Array[Int]], pads: Option[Array[Int]] = None, strides: Option[Array[Int]] = None, X: 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]
    Definition Classes
    NGraphBackend → AveragePool
  17. def Concat4[T](name: String, axis: Option[Int], inputs: Seq[Option[Tensor[T]]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UByte) ⇒ Nothing with (UShort) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Byte) ⇒ Nothing with (Short) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (String) ⇒ Nothing with (Boolean) ⇒ Nothing with (Complex[Float]) ⇒ Nothing with (Complex[Double]) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]
    Definition Classes
    NGraphBackend → Concat
  18. def Constant1[T](name: String, value: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UByte) ⇒ Nothing with (UShort) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Byte) ⇒ Nothing with (Short) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (String) ⇒ Nothing with (Boolean) ⇒ Nothing with (Complex[Float]) ⇒ Nothing with (Complex[Double]) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]
    Definition Classes
    NGraphBackend → Constant
  19. def Constant11[T](name: String, sparse_value: Option[SparseTensor[T]] = None, value: Option[Tensor[T]] = None)(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UByte) ⇒ Nothing with (UShort) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Byte) ⇒ Nothing with (Short) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (String) ⇒ Nothing with (Boolean) ⇒ Nothing with (Complex[Float]) ⇒ Nothing with (Complex[Double]) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]
    Definition Classes
    NGraphBackend → Constant
  20. def Constant9[T](name: String, value: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UByte) ⇒ Nothing with (UShort) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Byte) ⇒ Nothing with (Short) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (String) ⇒ Nothing with (Boolean) ⇒ Nothing with (Complex[Float]) ⇒ Nothing with (Complex[Double]) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]
    Definition Classes
    NGraphBackend → Constant
  21. def Conv1[T](name: String, auto_pad: Option[String] = None, dilations: Option[Array[Int]] = None, group: Option[Int] = None, kernel_shape: Option[Array[Int]] = None, pads: Option[Array[Int]] = None, strides: Option[Array[Int]] = None, X: Option[Tensor[T]], W: Option[Tensor[T]], B: Option[Tensor[T]] = None)(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]
    Definition Classes
    NGraphBackend → Conv
  22. def Conv11[T](name: String, auto_pad: Option[String] = None, dilations: Option[Array[Int]] = None, group: Option[Int] = None, kernel_shape: Option[Array[Int]] = None, pads: Option[Array[Int]] = None, strides: Option[Array[Int]] = None, X: Option[Tensor[T]], W: Option[Tensor[T]], B: Option[Tensor[T]] = None)(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]
    Definition Classes
    NGraphBackend → Conv
  23. def Dropout1[T](name: String, consumed_inputs: Option[Array[Int]] = None, is_test: Option[Int] = None, ratio: Option[Float] = None, data: 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], Tensor[T])
    Definition Classes
    NGraphBackend → Dropout
  24. def Dropout10[T, T1](name: String, ratio: Option[Float] = None, data: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], arg2: Numeric[T1], arg3: ClassTag[T1], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing], evT1: Contains[T1, ((Boolean) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): (Tensor[T], Tensor[T1])
    Definition Classes
    NGraphBackend → Dropout
  25. def Dropout6[T](name: String, is_test: Option[Int] = None, ratio: Option[Float] = None, data: 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], Tensor[T])
    Definition Classes
    NGraphBackend → Dropout
  26. def Dropout7[T](name: String, ratio: Option[Float], data: 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], Tensor[T])
    Definition Classes
    NGraphBackend → Dropout
  27. def Equal1[T, T1](name: String, axis: Option[Int] = None, broadcast: Option[Int] = None, A: Option[Tensor[T]], B: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], arg2: Numeric[T1], arg3: ClassTag[T1], evT: Contains[T, ((Boolean) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (UByte) ⇒ Nothing with (UShort) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Byte) ⇒ Nothing with (Short) ⇒ Nothing with (Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing], evT1: Contains[T1, ((Boolean) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T1]
    Definition Classes
    NGraphBackend → Equal
  28. def Equal11[T, T1](name: String, A: Option[Tensor[T]], B: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], arg2: Numeric[T1], arg3: ClassTag[T1], evT: Contains[T, ((Boolean) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (UByte) ⇒ Nothing with (UShort) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Byte) ⇒ Nothing with (Short) ⇒ Nothing with (Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing], evT1: Contains[T1, ((Boolean) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T1]
    Definition Classes
    NGraphBackend → Equal
  29. def Equal7[T, T1](name: String, A: Option[Tensor[T]], B: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], arg2: Numeric[T1], arg3: ClassTag[T1], evT: Contains[T, ((Boolean) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (UByte) ⇒ Nothing with (UShort) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Byte) ⇒ Nothing with (Short) ⇒ Nothing with (Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing], evT1: Contains[T1, ((Boolean) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T1]
    Definition Classes
    NGraphBackend → Equal
  30. def Gather1[T, Tind](name: String, axis: Option[Int], data: Option[Tensor[T]], indices: Option[Tensor[Tind]])(implicit arg0: Numeric[T], arg1: ClassTag[T], arg2: Numeric[Tind], arg3: ClassTag[Tind], evT: Contains[T, ((UByte) ⇒ Nothing with (UShort) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Byte) ⇒ Nothing with (Short) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (String) ⇒ Nothing with (Boolean) ⇒ Nothing with (Complex[Float]) ⇒ Nothing with (Complex[Double]) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing], evTind: Contains[Tind, ((Int) ⇒ Nothing with (Long) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]
    Definition Classes
    NGraphBackend → Gather
  31. def Gather11[T, Tind](name: String, axis: Option[Int] = None, data: Option[Tensor[T]], indices: Option[Tensor[Tind]])(implicit arg0: Numeric[T], arg1: ClassTag[T], arg2: Numeric[Tind], arg3: ClassTag[Tind], evT: Contains[T, ((UByte) ⇒ Nothing with (UShort) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Byte) ⇒ Nothing with (Short) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (String) ⇒ Nothing with (Boolean) ⇒ Nothing with (Complex[Float]) ⇒ Nothing with (Complex[Double]) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing], evTind: Contains[Tind, ((Int) ⇒ Nothing with (Long) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]
    Definition Classes
    NGraphBackend → Gather
  32. def Gemm1[T](name: String, alpha: Option[Float] = None, beta: Option[Float] = None, broadcast: Option[Int] = None, transA: Option[Int] = None, transB: Option[Int] = None, A: Option[Tensor[T]], B: Option[Tensor[T]], C: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]
    Definition Classes
    NGraphBackend → Gemm
  33. def Gemm11[T](name: String, alpha: Option[Float] = None, beta: Option[Float] = None, transA: Option[Int] = None, transB: Option[Int] = None, A: Option[Tensor[T]], B: Option[Tensor[T]], C: Option[Tensor[T]] = None)(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]
    Definition Classes
    NGraphBackend → Gemm
  34. def Gemm6[T](name: String, alpha: Option[Float] = None, beta: Option[Float] = None, broadcast: Option[Int] = None, transA: Option[Int] = None, transB: Option[Int] = None, A: Option[Tensor[T]], B: Option[Tensor[T]], C: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]
    Definition Classes
    NGraphBackend → Gemm
  35. def Gemm7[T](name: String, alpha: Option[Float] = None, beta: Option[Float] = None, transA: Option[Int] = None, transB: Option[Int] = None, A: Option[Tensor[T]], B: Option[Tensor[T]], C: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]
    Definition Classes
    NGraphBackend → Gemm
  36. def Gemm9[T](name: String, alpha: Option[Float] = None, beta: Option[Float] = None, transA: Option[Int] = None, transB: Option[Int] = None, A: Option[Tensor[T]], B: Option[Tensor[T]], C: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]
    Definition Classes
    NGraphBackend → Gemm
  37. def GlobalAveragePool1[T](name: String, X: 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]
    Definition Classes
    NGraphBackend → GlobalAveragePool
  38. def Log1[T](name: String, consumed_inputs: Option[Array[Int]] = None, input: 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]
    Definition Classes
    NGraphBackend → Log
  39. def Log6[T](name: String, input: 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]
    Definition Classes
    NGraphBackend → Log
  40. def Max6[T](name: String, data_0: Seq[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]
    Definition Classes
    NGraphBackend → Max
  41. def Max8[T](name: String, data_0: Seq[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]
    Definition Classes
    NGraphBackend → Max
  42. def MaxPool1[T](name: String, auto_pad: Option[String] = None, kernel_shape: Option[Array[Int]], pads: Option[Array[Int]] = None, strides: Option[Array[Int]] = None, X: 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]
    Definition Classes
    NGraphBackend → MaxPool
  43. def MaxPool10[T, I](name: String, auto_pad: Option[String] = None, ceil_mode: Option[Int] = None, dilations: Option[Array[Int]] = None, kernel_shape: Option[Array[Int]], pads: Option[Array[Int]] = None, storage_order: Option[Int] = None, strides: Option[Array[Int]] = None, X: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], arg2: Numeric[I], arg3: ClassTag[I], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing], evI: Contains[I, ((Long) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): (Tensor[T], Tensor[I])
    Definition Classes
    NGraphBackend → MaxPool
  44. def MaxPool11[T, I](name: String, auto_pad: Option[String] = None, ceil_mode: Option[Int] = None, dilations: Option[Array[Int]] = None, kernel_shape: Option[Array[Int]], pads: Option[Array[Int]] = None, storage_order: Option[Int] = None, strides: Option[Array[Int]] = None, X: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], arg2: Numeric[I], arg3: ClassTag[I], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing], evI: Contains[I, ((Long) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): (Tensor[T], Tensor[I])
    Definition Classes
    NGraphBackend → MaxPool
  45. def MaxPool8[T, I](name: String, auto_pad: Option[String] = None, kernel_shape: Option[Array[Int]], pads: Option[Array[Int]] = None, storage_order: Option[Int] = None, strides: Option[Array[Int]] = None, X: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], arg2: Numeric[I], arg3: ClassTag[I], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing], evI: Contains[I, ((Long) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): (Tensor[T], Tensor[I])
    Definition Classes
    NGraphBackend → MaxPool
  46. def Min6[T](name: String, data_0: Seq[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]
    Definition Classes
    NGraphBackend → Min
  47. def Min8[T](name: String, data_0: Seq[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]
    Definition Classes
    NGraphBackend → Min
  48. def Mul1[T](name: String, axis: Option[Int] = None, broadcast: Option[Int] = None, consumed_inputs: Option[Array[Int]] = None, A: Option[Tensor[T]], B: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]
    Definition Classes
    NGraphBackend → Mul
  49. def Mul6[T](name: String, axis: Option[Int] = None, broadcast: Option[Int] = None, A: Option[Tensor[T]], B: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]
    Definition Classes
    NGraphBackend → Mul
  50. def Mul7[T](name: String, A: Option[Tensor[T]], B: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]
    Definition Classes
    NGraphBackend → Mul
  51. def Relu1[T](name: String, consumed_inputs: Option[Array[Int]], X: 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]
    Definition Classes
    NGraphBackend → Relu
  52. def Relu6[T](name: String, X: 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]
    Definition Classes
    NGraphBackend → Relu
  53. def Reshape1[T](name: String, consumed_inputs: Option[Array[Int]] = None, shape: Option[Array[Int]] = None, data: Option[Tensor[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UByte) ⇒ Nothing with (UShort) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Byte) ⇒ Nothing with (Short) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (String) ⇒ Nothing with (Boolean) ⇒ Nothing with (Complex[Float]) ⇒ Nothing with (Complex[Double]) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]
    Definition Classes
    NGraphBackend → Reshape
  54. def Reshape5[T](name: String, data: Option[Tensor[T]], shape: Option[Tensor[Long]])(implicit arg0: Numeric[T], arg1: ClassTag[T], evT: Contains[T, ((Float16) ⇒ Nothing with (Float) ⇒ Nothing with (Double) ⇒ Nothing with (UByte) ⇒ Nothing with (UShort) ⇒ Nothing with (UInt) ⇒ Nothing with (ULong) ⇒ Nothing with (Byte) ⇒ Nothing with (Short) ⇒ Nothing with (Int) ⇒ Nothing with (Long) ⇒ Nothing with (String) ⇒ Nothing with (Boolean) ⇒ Nothing with (Complex[Float]) ⇒ Nothing with (Complex[Double]) ⇒ Nothing with (UNil) ⇒ Nothing) ⇒ Nothing]): Tensor[T]
    Definition Classes
    NGraphBackend → Reshape
  55. def Sigmoid1[T](name: String, consumed_inputs: Option[Array[Int]] = None, X: 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]
    Definition Classes
    NGraphBackend → Sigmoid
  56. def Sigmoid6[T](name: String, X: 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]
    Definition Classes
    NGraphBackend → Sigmoid
  57. def Softmax1[T](name: String, axis: Option[Int] = None, input: 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]
    Definition Classes
    NGraphBackend → Softmax
  58. def Softmax11[T](name: String, axis: Option[Int] = None, input: 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]
    Definition Classes
    NGraphBackend → Softmax
  59. def addInputToGraph[A](input: Option[Tensor[A]], inputName: String, graph: GraphProto): Unit
  60. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  61. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  62. def close(): Unit
    Definition Classes
    NGraphBackend → AutoCloseable
  63. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  64. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  65. def fullModel[T, T1, T2, T3](A: Option[Tensor[T]], B: Option[Tensor[T1]], C: Option[Tensor[T2]])(implicit arg0: ClassTag[T], arg1: ClassTag[T1], arg2: ClassTag[T2], arg3: ClassTag[T3]): Tensor[T3]
  66. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  67. def getParams[T](name: String)(implicit arg0: Numeric[T], arg1: ClassTag[T]): Tensor[T]
    Definition Classes
    NGraphBackend → DataSource
  68. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  69. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  70. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  71. val ngraphBackend: Backend
  72. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  73. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  74. val onnxHelper: ONNXHelper
  75. def opFromByteArray[T, T1, T2, T3](opModel: Array[Byte], A: Option[Tensor[T]], B: Option[Tensor[T1]], C: Option[Tensor[T2]])(implicit arg0: ClassTag[T], arg1: ClassTag[T1], arg2: ClassTag[T2], arg3: ClassTag[T3]): Tensor[T3]
  76. def opFromModel[T, T1, T2, T3](opModel: ModelProto, A: Option[Tensor[T]], B: Option[Tensor[T1]], C: Option[Tensor[T2]])(implicit arg0: ClassTag[T], arg1: ClassTag[T1], arg2: ClassTag[T2], arg3: ClassTag[T3]): Tensor[T3]
  77. def paramsMap[T](implicit arg0: Numeric[T], arg1: ClassTag[T]): Map[String, (String, Array[T], Array[Int])]
  78. val scope: PointerScope
  79. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  80. def tensorToInputShape[T](tens: Option[Tensor[T]])(implicit arg0: ClassTag[T]): bytedeco.ngraph.Shape
  81. def tensorToPointerAndType[T](tens: Option[Tensor[T]])(implicit arg0: ClassTag[T]): (Pointer, Type)
  82. def tensorVectorToOutputTensor[T3](tensVec: TensorVector, outputShape: bytedeco.ngraph.Shape)(implicit arg0: ClassTag[T3]): Tensor[T3]
  83. def toString(): String
    Definition Classes
    AnyRef → Any
  84. def trinaryOp[T, T1, T2, T3](name: String, opName: String, A: Option[Tensor[T]], B: Option[Tensor[T1]], C: Option[Tensor[T2]], attrs: Map[String, Any])(implicit arg0: ClassTag[T], arg1: ClassTag[T1], arg2: ClassTag[T2], arg3: ClassTag[T3]): Tensor[T3]
  85. def trinaryOpModel[T, T1, T2](name: String, opName: String, A: Option[Tensor[T]], aName: String, B: Option[Tensor[T1]], bName: String, C: Option[Tensor[T2]], cName: String, outName: String, attrs: Map[String, Any])(implicit arg0: ClassTag[T], arg1: ClassTag[T1], arg2: ClassTag[T2]): ModelProto
  86. def trinaryOpNoAttrs[T, T1, T2](name: String, opName: String, A: Option[Tensor[T]], B: Option[Tensor[T1]], C: Option[Tensor[T2]])(implicit arg0: ClassTag[T], arg1: ClassTag[T1], arg2: ClassTag[T2]): Tensor[T]
  87. def trinaryOpNode[T, T1, T2](name: String, opName: String, A: Option[Tensor[T]], aName: String, B: Option[Tensor[T1]], bName: String, C: Option[Tensor[T2]], cName: String, outName: String, attrs: Map[String, Any])(implicit arg0: ClassTag[T], arg1: ClassTag[T1], arg2: ClassTag[T2]): NodeProto
  88. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  89. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  90. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] ) @Deprecated @deprecated
    Deprecated

    (Since version ) see corresponding Javadoc for more information.

Inherited from AutoCloseable

Inherited from Reshape

Inherited from AveragePool

Inherited from Dropout

Inherited from Concat

Inherited from MaxPool

Inherited from Relu

Inherited from Mul

Inherited from Gather

Inherited from Gemm

Inherited from Sigmoid

Inherited from Conv

Inherited from Abs

Inherited from Min

Inherited from Max

Inherited from Softmax

Inherited from Log

Inherited from GlobalAveragePool

Inherited from Equal

Inherited from ArgMax

Inherited from ArgMin

Inherited from Constant

Inherited from DataSource

Inherited from Add

Inherited from Operator

Inherited from AnyRef

Inherited from Any

Ungrouped