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BitwiseAnd

public final class BitwiseAnd

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

The result will have those bits set, that are set in both `x` and `y`. 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([0, 0, 3, 10], dtype=tf.float32)
 
   res = bitwise_ops.bitwise_and(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 > BitwiseAnd <T>
create ( Scope scope, Operand <T> x, Operand <T> y)
Factory method to create a class wrapping a new BitwiseAnd 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: "BitwiseAnd"

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 BitwiseAnd <T> create ( Scope scope, Operand <T> x, Operand <T> y)

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

Parameters
scope current scope
Returns
  • a new instance of BitwiseAnd

public Output <T> z ()