tf.keras.ops.nanargmin

Returns the indices of the minimum values along an axis, ignoring NaNs.

View aliases

Main aliases

tf.keras.ops.numpy.nanargmin

tf.keras.ops.nanargmin(
    x, axis=None, keepdims=False
)

Args
x	Input tensor.
axis	By default, the index is into the flattened tensor, otherwise along the specified axis.
keepdims	If this is set to True, the axes which are reduced are left in the result as dimensions with size one. Defaults to False.

Returns
Tensor of indices. It has the same shape as x, with the dimension along axis removed. NaN values are ignored when computing the minimum.

Examples:

import numpy as np
from keras import ops
x = np.array([[1.0, np.nan, 3.0],
              [np.nan, 2.0, 0.0]])

ops.nanargmin(x)
array(5, dtype=int32)

ops.nanargmin(x, axis=0)
array([0, 1, 1], dtype=int32)

ops.nanargmin(x, axis=1)
array([0, 2], dtype=int32)

ops.nanargmin(x, axis=1, keepdims=True)
array([[0],
       [2]], dtype=int32)