Class

org.emergentorder.onnx.backends

NGraphBackend

Related Doc: package backends

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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])

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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])

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    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])

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    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])

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    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])

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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]

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    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])

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    Definition Classes
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  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])

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    Definition Classes
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  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])

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    Definition Classes
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  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]

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  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]

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  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]

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    Definition Classes
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  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]

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    Definition Classes
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  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]

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  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]

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    Definition Classes
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  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]

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  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]

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    Definition Classes
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  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]

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  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]

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    Definition Classes
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  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]

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    Definition Classes
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  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]

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    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]

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    Definition Classes
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  59. def addInputToGraph[A](input: Option[Tensor[A]], inputName: String, graph: GraphProto): Unit

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  60. final def asInstanceOf[T0]: T0

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  61. def clone(): AnyRef

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    protected[java.lang]
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    @HotSpotIntrinsicCandidate() @throws( ... )

  62. def close(): Unit

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

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  64. def equals(arg0: Any): Boolean

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  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]

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

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    @HotSpotIntrinsicCandidate()

  67. def getParams[T](name: String)(implicit arg0: Numeric[T], arg1: ClassTag[T]): Tensor[T]

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  68. def hashCode(): Int

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    @HotSpotIntrinsicCandidate()

  69. final def isInstanceOf[T0]: Boolean

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

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  71. val ngraphBackend: Backend

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  72. final def notify(): Unit

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    @HotSpotIntrinsicCandidate()

  73. final def notifyAll(): Unit

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  74. val onnxHelper: ONNXHelper

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  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]

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  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]

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  77. def paramsMap[T](implicit arg0: Numeric[T], arg1: ClassTag[T]): Map[String, (String, Array[T], Array[Int])]

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  78. val scope: PointerScope

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

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  80. def tensorToInputShape[T](tens: Option[Tensor[T]])(implicit arg0: ClassTag[T]): bytedeco.ngraph.Shape

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  81. def tensorToPointerAndType[T](tens: Option[Tensor[T]])(implicit arg0: ClassTag[T]): (Pointer, Type)

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  82. def tensorVectorToOutputTensor[T3](tensVec: TensorVector, outputShape: bytedeco.ngraph.Shape)(implicit arg0: ClassTag[T3]): Tensor[T3]

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  83. def toString(): String

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  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]

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  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

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  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]

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  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

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

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    @throws( ... )

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

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    @throws( ... )

  90. final def wait(): Unit

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Deprecated Value Members

  1. def finalize(): Unit

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    @Deprecated @deprecated @throws( classOf[java.lang.Throwable] )
    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