# flax.linen.softmax#

flax.linen.softmax(x, axis=- 1, where=None, initial=None)[source]#

Softmax function.

Computes the function which rescales elements to the range $$[0, 1]$$ such that the elements along axis sum to $$1$$.

$\mathrm{softmax}(x) = \frac{\exp(x_i)}{\sum_j \exp(x_j)}$
Parameters
• x – input array

• axis – the axis or axes along which the softmax should be computed. The softmax output summed across these dimensions should sum to $$1$$. Either an integer or a tuple of integers.

• where – Elements to include in the softmax.

• initial – The minimum value used to shift the input array. Must be present when where is not None.