jax.numpy.ones_like

jax.numpy.ones_like(a, dtype=None, shape=None, *, device=None, out_sharding=None)

Create an array of ones with the same shape and dtype as an array.

JAX implementation of numpy.ones_like().

Parameters:

• a (Array | ndarray | bool | number | bool | int | float | complex | TypedNdArray | DuckTypedArray) – Array-like object with shape and dtype attributes.

• shape (Any) – optionally override the shape of the created array.

• dtype (str | type[Any] | dtype | SupportsDType | None) – optionally override the dtype of the created array.

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

• out_sharding (NamedSharding | PartitionSpec | None)

Returns:

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

Return type:

Array

See also

• jax.numpy.empty()

• jax.numpy.zeros_like()

• jax.numpy.ones_like()

• jax.numpy.full_like()

Examples

>>> x = jnp.arange(4)
>>> jnp.ones_like(x)
Array([1, 1, 1, 1], dtype=int32)
>>> jnp.ones_like(x, dtype=bool)
Array([ True,  True,  True,  True], dtype=bool)
>>> jnp.ones_like(x, shape=(2, 3))
Array([[1, 1, 1],
       [1, 1, 1]], dtype=int32)