jax.numpy.equal
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jax.numpy.equal#
- jax.numpy.equal(x,y,/)[source]#
Returns element-wise truth value of
x==y.JAX implementation of
numpy.equal. This function provides the implementationof 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.not_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.equal(0.,-0.)Array(True, dtype=bool, weak_type=True)>>>jnp.equal(1,1.)Array(True, dtype=bool, weak_type=True)>>>jnp.equal(5,jnp.array(5))Array(True, dtype=bool, weak_type=True)>>>jnp.equal(2,-2)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.equal(x,y)Array([[ True, False, False], [False, True, False], [False, False, True]], dtype=bool)>>>x==yArray([[ True, False, False], [False, True, False], [False, False, True]], dtype=bool)
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