jax.numpy.greater

jax.numpy.greater(x, y, /)

Return element-wise truth value of x > y.

JAX implementation of numpy.greater.

Parameters:

• x (ArrayLike) – input array or scalar.

• y (ArrayLike) – input array or scalar. x and y must either have same shape or be broadcast compatible.

Returns:

An array containing boolean values. True if the elements of x > y, and False otherwise.

Return type:

Array

See also

• jax.numpy.less(): Returns element-wise truth value of x < y.

• jax.numpy.greater_equal(): Returns element-wise truth value of x >= y.

• jax.numpy.less_equal(): Returns element-wise truth value of x <= y.

Examples

Scalar inputs:

>>> jnp.greater(5, 2)
Array(True, dtype=bool, weak_type=True)

Inputs with same shape:

>>> x = jnp.array([5, 9, -2])
>>> y = jnp.array([4, -1, 6])
>>> jnp.greater(x, y)
Array([ True,  True, False], dtype=bool)

Inputs with broadcast compatibility:

>>> x1 = jnp.array([[5, -6, 7],
...                 [-2, 5, 9]])
>>> y1 = jnp.array([-4, 3, 10])
>>> jnp.greater(x1, y1)
Array([[ True, False, False],
       [ True,  True, False]], dtype=bool)