jax.numpy.full

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

Create an array full of a specified value.

JAX implementation of numpy.full().

Parameters:

• shape (Any) – int or sequence of ints specifying the shape of the created array.

• fill_value (Array | ndarray | bool | number | bool | int | float | complex) – scalar or array with which to fill the created array.

• dtype (str | type[Any] | dtype | SupportsDType | None) – optional dtype for the created array; defaults to the dtype of the fill value.

• device (Device | Sharding | 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_like()

• jax.numpy.empty()

• jax.numpy.zeros()

• jax.numpy.ones()

Examples

>>> jnp.full(4, 2, dtype=float)
Array([2., 2., 2., 2.], dtype=float32)
>>> jnp.full((2, 3), 0, dtype=bool)
Array([[False, False, False],
       [False, False, False]], dtype=bool)

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

>>> jnp.full((2, 3), fill_value=jnp.arange(3))
Array([[0, 1, 2],
       [0, 1, 2]], dtype=int32)