Invert

public final class Invert

Invert (flip) each bit of supported types; for example, type `uint8` value 01010101 becomes 10101010.

Flip each bit of supported types. For example, type `int8` (decimal 2) binary 00000010 becomes (decimal -3) binary 11111101. This operation is performed on each element of the tensor argument `x`.

Example:

import tensorflow as tf
 from tensorflow.python.ops import bitwise_ops
 
 # flip 2 (00000010) to -3 (11111101)
 tf.assert_equal(-3, bitwise_ops.invert(2))
 
 dtype_list = [dtypes.int8, dtypes.int16, dtypes.int32, dtypes.int64,
               dtypes.uint8, dtypes.uint16, dtypes.uint32, dtypes.uint64]
 
 inputs = [0, 5, 3, 14]
 for dtype in dtype_list:
   # Because of issues with negative numbers, let's test this indirectly.
   # 1. invert(a) and a = 0
   # 2. invert(a) or a = invert(0)
   input_tensor = tf.constant([0, 5, 3, 14], dtype=dtype)
   not_a_and_a, not_a_or_a, not_0 = [bitwise_ops.bitwise_and(
                                       input_tensor, bitwise_ops.invert(input_tensor)),
                                     bitwise_ops.bitwise_or(
                                       input_tensor, bitwise_ops.invert(input_tensor)),
                                     bitwise_ops.invert(
                                       tf.constant(0, dtype=dtype))]
 
   expected = tf.constant([0, 0, 0, 0], dtype=tf.float32)
   tf.assert_equal(tf.cast(not_a_and_a, tf.float32), expected)
 
   expected = tf.cast([not_0] * 4, tf.float32)
   tf.assert_equal(tf.cast(not_a_or_a, tf.float32), expected)
 
   # For unsigned dtypes let's also check the result directly.
   if dtype.is_unsigned:
     inverted = bitwise_ops.invert(input_tensor)
     expected = tf.constant([dtype.max - x for x in inputs], dtype=tf.float32)
     tf.assert_equal(tf.cast(inverted, tf.float32), tf.cast(expected, tf.float32))
 

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> Invert<T>	create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Invert operation.
Output<T>	y()

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single Operation.
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single Operation.

From interface org.tensorflow.Operand

abstract Output<T>	asOutput() Returns the symbolic handle of the tensor.
abstract T	asTensor() Returns the tensor at this operand.
abstract Shape	shape() Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<T>	type() Returns the tensor type of this operand

From interface org.tensorflow.ndarray.Shaped

abstract int	rank()
abstract Shape	shape()
abstract long	size() Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

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

Constant Value: "Invert"

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 Invert<T> create (Scope scope, Operand<T> x)

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

Parameters

scope	current scope

Returns

• a new instance of Invert

public Output<T> y ()