Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://docs.jax.dev/en/latest/_autosummary/jax.numpy.minimum.html below:

jax.numpy.minimum — JAX documentation

jax.numpy.minimum = <jnp.ufunc 'minimum'>#

Return element-wise minimum of the input arrays.

JAX implementation of numpy.minimum.

Parameters:

• x – input array or scalar.

• y – input array or scalar. Both x and y should either have same shape or be broadcast compatible.

• args (ArrayLike)

• out (None)

• where (None)

Returns:

An array containing the element-wise minimum of x and y.

Return type:

Any

Note

For each pair of elements, jnp.minimum returns:

• smaller of the two if both elements are finite numbers.

• nan if one element is nan.

Examples

Inputs with x.shape == y.shape:

>>> x = jnp.array([2, 3, 5, 1])
>>> y = jnp.array([-3, 6, -4, 7])
>>> jnp.minimum(x, y)
Array([-3,  3, -4,  1], dtype=int32)

Inputs having broadcast compatibility:

>>> x1 = jnp.array([[1, 5, 2],
...                 [-3, 4, 7]])
>>> y1 = jnp.array([-2, 3, 6])
>>> jnp.minimum(x1, y1)
Array([[-2,  3,  2],
       [-3,  3,  6]], dtype=int32)

Inputs with nan:

>>> nan = jnp.nan
>>> x2 = jnp.array([[2.5, nan, -2],
...                 [nan, 5, 6],
...                 [-4, 3, 7]])
>>> y2 = jnp.array([1, nan, 5])
>>> jnp.minimum(x2, y2)
Array([[ 1., nan, -2.],
       [nan, nan,  5.],
       [-4., nan,  5.]], dtype=float32)

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4