ArgMax

public final class ArgMax

Returns the index with the largest value across dimensions of a tensor.

Note that in case of ties the identity of the return value is not guaranteed.

Usage:

import tensorflow as tf
   a = [1, 10, 26.9, 2.8, 166.32, 62.3]
   b = tf.math.argmax(input = a)
   c = tf.keras.backend.eval(b)
   # c = 4
   # here a[4] = 166.32 which is the largest element of a across axis 0
   

Constants

String

OP_NAME

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

Public Methods

Output<V>	asOutput() Returns the symbolic handle of the tensor.
static <V extends TNumber> ArgMax<V>	create(Scope scope, Operand<? extends TType> input, Operand<? extends TNumber> dimension, Class<V> outputType) Factory method to create a class wrapping a new ArgMax operation.
static ArgMax<TInt64>	create(Scope scope, Operand<? extends TType> input, Operand<? extends TNumber> dimension) Factory method to create a class wrapping a new ArgMax operation using default output types.
Output<V>	output()

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<V extends TNumber>	asOutput() Returns the symbolic handle of the tensor.
abstract V extends TNumber	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<V extends TNumber>	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: "ArgMax"

Public Methods

public Output<V> 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 ArgMax<V> create (Scope scope, Operand<? extends TType> input, Operand<? extends TNumber> dimension, Class<V> outputType)

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

Parameters

scope	current scope
dimension	int32 or int64, must be in the range `[-rank(input), rank(input))`. Describes which dimension of the input Tensor to reduce across. For vectors, use dimension = 0.

Returns

• a new instance of ArgMax

public static ArgMax<TInt64> create (Scope scope, Operand<? extends TType> input, Operand<? extends TNumber> dimension)

Factory method to create a class wrapping a new ArgMax operation using default output types.

Parameters

scope	current scope
dimension	int32 or int64, must be in the range `[-rank(input), rank(input))`. Describes which dimension of the input Tensor to reduce across. For vectors, use dimension = 0.

Returns

• a new instance of ArgMax

public Output<V> output ()