dpnp.less_equal

dpnp.less_equal(x1, x2, out=None, where=True, order='K', dtype=None, subok=True, **kwargs)

Calculates the less-than or equal-to results for each element x1_i of the input array x1 the respective element x2_i of the input array x2.

For full documentation refer to numpy.less_equal.

Parameters:

• x1 ({dpnp.ndarray, usm_ndarray}) – First input array, expected to have numeric data type.

• x2 ({dpnp.ndarray, usm_ndarray}) – Second input array, also expected to have numeric data type.

• out ({None, dpnp.ndarray}, optional) – Output array to populate. Array must have the correct shape and the expected data type.

• order ({"C", "F", "A", "K"}, optional) – Memory layout of the newly output array, if parameter out is None. Default: “K”.

Returns:

out – An array containing the result of element-wise less-than or equal-to comparison. The data type of the returned array is determined by the Type Promotion Rules.

Return type:

dpnp.ndarray

Limitations

Parameters where and subok are supported with their default values. Otherwise NotImplementedError exception will be raised.

See also

dpnp.greater

Return the truth value of (x1 > x2) element-wise.

dpnp.less

Return the truth value of (x1 < x2) element-wise.

dpnp.greater_equal

Return the truth value of (x1 >= x2) element-wise.

dpnp.equal

Return (x1 == x2) element-wise.

dpnp.not_equal

Return (x1 != x2) element-wise.

Examples

>>> import dpnp as np
>>> x1 = np.array([4, 2, 1])
>>> x2 = np.array([2, 2, 2]
>>> np.less_equal(x1, x2)
array([False,  True,  True])

The <= operator can be used as a shorthand for less_equal on dpnp.ndarray.

>>> a = np.array([4, 2, 1])
>>> b = np.array([2, 2, 2])
>>> a <= b
array([False,  True,  True])