Class Conj<T extends TType>

java.lang.Object
org.tensorflow.op.RawOp
org.tensorflow.op.math.Conj<T>
All Implemented Interfaces:
Shaped, Op, Operand<T>
@Operator(group="math") public final class Conj<T extends TType> extends RawOp implements Operand<T>
Returns the complex conjugate of a complex number. Given a tensor input of complex numbers, this operation returns a tensor of complex numbers that are the complex conjugate of each element in input. The complex numbers in input must be of the form \(a + bj\), where a is the real part and b is the imaginary part.

The complex conjugate returned by this operation is of the form \(a - bj\).

For example: 

# tensor 'input' is [-2.25 + 4.75j, 3.25 + 5.75j]
tf.conj(input) ==> [-2.25 - 4.75j, 3.25 - 5.75j]

  • Field Details

  • Constructor Details

  • Method Details

    • create

      @Endpoint(describeByClass=true) public static <T extends TType> Conj<T> create(Scope scope, Operand<T> input)
      Factory method to create a class wrapping a new Conj operation.
      Type Parameters:
      T - data type for Conj output and operands
      Parameters:
      scope - current scope
      input - The input value
      Returns:
      a new instance of Conj

    • output

      public Output<T> output()
      Gets output.
      Returns:
      output.

    • asOutput

      public Output<T> asOutput()
      Description copied from interface: Operand
      Returns the symbolic handle of the tensor.

      Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

      Specified by:
      asOutput in interface Operand<T extends TType>
      See Also: