And

And  // Elementwise logical-and operation

Description

Produces tensor with boolean element type and shape as the two inputs, which must themselves have boolean element type, where the value at each coordinate of output is 1 (true) if arg0 and arg1 are both nonzero, 0 otherwise.

Inputs

Name Element Type Shape
arg0 ngraph::element::boolean any
arg1 ngraph::element::boolean same as arg0

Outputs

Name Element Type Shape
output ngraph::element::boolean same as arg0

Mathematical Definition

\[\mathtt{output}_{i_0, \ldots, i_{n-1}} = \mathtt{arg0}_{i_0, \ldots, i_{n-1}}\, \mathtt{&&}\, \mathtt{arg1}_{i_0, \ldots, i_{n-1}}\]

C++ Interface

class And : public ngraph::op::util::BinaryElementwiseLogical

Elementwise logical-and operation.

Public Functions

const std::string &description() const

Get the string name for the type of the node, such as Add or Multiply. The class name, must not contain spaces as it is used for codegen.

Return
A const reference to the node’s type name

And()

Constructs a logical-and operation.

And(const Output<Node> &arg0, const Output<Node> &arg1, const AutoBroadcastSpec &autob = AutoBroadcastSpec())

Constructs a logical-and operation.

Output [d0, ...]

Parameters
  • arg0: Output that produces the first input tensor.[d0, ...]
  • arg1: Output that produces the second input tensor.[d0, ...]
  • autob: Auto broadcast specification