Return the number of nonzero elements along a given axis.
JAX implementation of numpy.count_nonzero().
a (ArrayLike) – input array.
axis (Axis) – optional, int or sequence of ints, default=None. Axis along which the number of nonzeros are counted. If None, counts within the flattened array.
keepdims (bool) – bool, default=False. If true, reduced axes are left in the result with size 1.
An array with number of nonzeros elements along specified axis of the input.
Examples
By default, jnp.count_nonzero counts the nonzero values along all axes.
>>> x = jnp.array([[1, 0, 0, 0], ... [0, 0, 1, 0], ... [1, 1, 1, 0]]) >>> jnp.count_nonzero(x) Array(5, dtype=int32)
If axis=1, counts along axis 1.
>>> jnp.count_nonzero(x, axis=1) Array([1, 1, 3], dtype=int32)
To preserve the dimensions of input, you can set keepdims=True.
>>> jnp.count_nonzero(x, axis=1, keepdims=True)
Array([[1],
[1],
[3]], dtype=int32)
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