tf.keras.ops.nancumsum
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Returns the cumulative sum of elements along a given axis, treating NaNs as zero.
tf.keras.ops.nancumsum(
x, axis=None, dtype=None
)
Args |
|---|
x
|
Input tensor.
|
axis
|
Axis along which the cumulative sum is computed.
By default the input is flattened.
|
dtype
|
dtype of returned tensor. Defaults to x.dtype.
|
Examples:
import numpy as np
from keras import ops
x = np.array([[1.0, np.nan, 3.0],
[np.nan, 2.0, 1.0]])
ops.nancumsum(x)
array([1., 1., 4., 4., 6., 7.])
ops.nancumsum(x, axis=1)
array([[1., 1., 4.],
[0., 2., 3.]])
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Last updated 2026-10-31 UTC.
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