Note that in case of ties the identity of the return value is not guaranteed.
Usage
importtensorflowastfa=[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
Args
input
A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, complex64, int64, qint8, quint8, qint32, bfloat16, uint16, complex128, half, uint32, uint64, bool.
axis
A Tensor. Must be one of the following types: int32, int64.
int32 or int64, must be in the range [-rank(input), rank(input)).
Describes which axis of the input Tensor to reduce across. For vectors,
use axis = 0.
output_type
An optional tf.DType from: tf.int32, tf.int64. Defaults to tf.int64.