tf.keras.ops.nanmax

Maximum of a tensor over the given axes, ignoring NaNs.

Main aliases

tf.keras.ops.numpy.nanmax

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

Args
`x`	Input tensor.
`axis`	Axis or axes along which the maximum is computed. The default is to compute the maximum of the flattened tensor.
`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
Output tensor containing the maximum, with NaN values ignored. If all values along a reduced axis are NaN, the result is NaN.

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

ops.nanmax(x, axis=1)
array([3., 2.])

ops.nanmax(x, axis=1, keepdims=True)
array([[3.],
       [2.]])

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Last updated 2026-10-31 UTC.

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