BitwiseOr

public final class BitwiseOr

Elementwise computes the bitwise OR of `x` and `y`.

The result will have those bits set, that are set in `x`, `y` or both. The computation is performed on the underlying representations of `x` and `y`.

For example: 

import tensorflow as tf
 from tensorflow.python.ops import bitwise_ops
 dtype_list = [tf.int8, tf.int16, tf.int32, tf.int64,
               tf.uint8, tf.uint16, tf.uint32, tf.uint64]
 
 for dtype in dtype_list:
   lhs = tf.constant([0, 5, 3, 14], dtype=dtype)
   rhs = tf.constant([5, 0, 7, 11], dtype=dtype)
   exp = tf.constant([5, 5, 7, 15], dtype=tf.float32)
 
   res = bitwise_ops.bitwise_or(lhs, rhs)
   tf.assert_equal(tf.cast(res,  tf.float32), exp)  # TRUE

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output<T>
asOutput()
Returns the symbolic handle of the tensor.
static <T extends TNumber> BitwiseOr<T>
create(Scope scope, Operand<T> x, Operand<T> y)
Factory method to create a class wrapping a new BitwiseOr operation.
Output<T>
z()

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "BitwiseOr"

Public Methods

public Output<T> asOutput ()

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.

public static BitwiseOr<T> create (Scope scope, Operand<T> x, Operand<T> y)

Factory method to create a class wrapping a new BitwiseOr operation.

Parameters
scope current scope
Returns
  • a new instance of BitwiseOr

public Output<T> z ()