jax.numpy.full_like

jax.numpy.full_like(a, fill_value, dtype=None, shape=None, *, device=None)

Create an array full of a specified value with the same shape and dtype as an array.

JAX implementation of numpy.full_like().

Parameters:

• a (ArrayLike | DuckTypedArray) – Array-like object with shape and dtype attributes.

• fill_value (ArrayLike) – scalar or array with which to fill the created array.

• shape (Any | None) – optionally override the shape of the created array.

• dtype (DTypeLike | None | None) – optionally override the dtype of the created array.

• device (xc.Device | Sharding | None | None) – (optional) Device or Sharding to which the created array will be committed.

Returns:

Array of the specified shape and dtype, on the specified device if specified.

Return type:

Array

See also

• jax.numpy.full()

• jax.numpy.empty_like()

• jax.numpy.zeros_like()

• jax.numpy.ones_like()

Examples

>>> x = jnp.arange(4.0)
>>> jnp.full_like(x, 2)
Array([2., 2., 2., 2.], dtype=float32)
>>> jnp.full_like(x, 0, shape=(2, 3))
Array([[0., 0., 0.],
       [0., 0., 0.]], dtype=float32)

fill_value may also be an array that is broadcast to the specified shape:

>>> x = jnp.arange(6).reshape(2, 3)
>>> jnp.full_like(x, fill_value=jnp.array([[1], [2]]))
Array([[1, 1, 1],
       [2, 2, 2]], dtype=int32)