tf.keras.ops.nanprod

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

Main aliases

tf.keras.ops.numpy.nanprod

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

Args
`x`	Input tensor.
`axis`	Axis or axes along which the product is computed. The default is to compute the product 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 product, 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.nanprod(x)
6.0

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

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

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Last updated 2026-10-31 UTC.

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