jax.lax.reduce_xor

jax.lax.reduce_xor(operand, axes)

Compute the bitwise XOR of elements over one or more array axes.

Parameters:

• operand (ArrayLike) – array over which to compute the reduction. Must have boolean or integer dtype.

• axes (Sequence[int]) – sequence of zero or more unique integers specifying the axes over which to reduce. Each entry must satisfy 0 <= axis < operand.ndim.

Returns:

An array of the same dtype as operand, with shape corresponding to the dimensions of operand.shape with axes removed.

Return type:

Array

See also

• jax.numpy.bitwise_xor.reduce(): more flexible NumPy-style logical reduction API, built around jax.lax.reduce_xor().

• Other low-level jax.lax reduction operators: jax.lax.reduce_sum(), jax.lax.reduce_prod(), jax.lax.reduce_max(), jax.lax.reduce_min(), jax.lax.reduce_and(), jax.lax.reduce_or().