ArgMin

public final class ArgMin

Returns the index with the smallest 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.argmin(input = a)
   c = tf.keras.backend.eval(b)
   # c = 0
   # here a[0] = 1 which is the smallest 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 > ArgMin <V>
create ( Scope scope, Operand <? extends TType > input, Operand <? extends TNumber > dimension, Class<V> outputType)
Factory method to create a class wrapping a new ArgMin operation.
static ArgMin < TInt64 >
create ( Scope scope, Operand <? extends TType > input, Operand <? extends TNumber > dimension)
Factory method to create a class wrapping a new ArgMin operation using default output types.
Output <V>

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "ArgMin"

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

Factory method to create a class wrapping a new ArgMin 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 ArgMin

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

Factory method to create a class wrapping a new ArgMin 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 ArgMin

public Output <V> output ()