tf.compat.v1.argmin

Returns the index with the smallest value across axes of a tensor. (deprecated arguments)

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.math.argmin

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

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

input A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, half, uint32, uint64, qint8, quint8, qint32, qint16, quint16, 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.
name A name for the operation (optional).

A Tensor of type output_type.