jax.numpy.not_equal
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jax.numpy.not_equal#
- jax.numpy.not_equal(x,y,/)[source]#
Returns element-wise truth value of
x!=y.JAX implementation of
numpy.not_equal. This function provides theimplementation of the!=operator for JAX arrays.- Parameters:
x (ArrayLike) – input array or scalar.
y (ArrayLike) – input array or scalar.
xandyshould either have same shape or bebroadcast compatible.
- Returns:
A boolean array containing
Truewhere the elements ofx!=yandFalseotherwise.- Return type:
See also
jax.numpy.equal(): Returns element-wise truth value ofx==y.jax.numpy.greater_equal(): Returns element-wise truth value ofx>=y.jax.numpy.less_equal(): Returns element-wise truth value ofx<=y.jax.numpy.greater(): Returns element-wise truth value ofx>y.jax.numpy.less(): Returns element-wise truth value ofx<y.
Examples
>>>jnp.not_equal(0.,-0.)Array(False, dtype=bool, weak_type=True)>>>jnp.not_equal(-2,2)Array(True, dtype=bool, weak_type=True)>>>jnp.not_equal(1,1.)Array(False, dtype=bool, weak_type=True)>>>jnp.not_equal(5,jnp.array(5))Array(False, dtype=bool, weak_type=True)>>>x=jnp.array([[1,2,3],...[4,5,6],...[7,8,9]])>>>y=jnp.array([1,5,9])>>>jnp.not_equal(x,y)Array([[False, True, True], [ True, False, True], [ True, True, False]], dtype=bool)>>>x!=yArray([[False, True, True], [ True, False, True], [ True, True, False]], dtype=bool)
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