Computes the logarithm of sum of exponentials of elements in a tensor.
tf.keras.ops.logsumexp(
x, axis=None, keepdims=False
)
Args |
x
|
Input tensor.
|
axis
|
An integer or a tuple of integers specifying the axis/axes
along which to compute the sum. If None , the sum is computed
over all elements. Defaults toNone .
|
keepdims
|
A boolean indicating whether to keep the dimensions of
the input tensor when computing the sum. Defaults toFalse .
|
Returns |
A tensor containing the logarithm of the sum of exponentials of
elements in x .
|
Example:
x = keras.ops.convert_to_tensor([1., 2., 3.])
logsumexp(x)
3.407606