tf.keras.ops.nansum

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

Main aliases

tf.keras.ops.numpy.nansum

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

Args
`x`	Input tensor.
`axis`	Axis or axes along which the sum is computed. The default is to compute the sum 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.

Returns
Output tensor containing the sum, with NaN values ignored.

import numpy as np
from keras import ops
x = np.array([[1.0, np.nan, 3.0],
              [np.nan, 2.0, 1.0]])
ops.nansum(x)
7.0

ops.nansum(x, axis=1)
array([4., 3.])

ops.nansum(x, axis=1, keepdims=True)
array([[4.],
       [3.]])

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Last updated 2026-10-31 UTC.

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