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.
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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]