jax.numpy.zeros_like

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

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

JAX implementation of numpy.zeros_like().

Parameters:

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

• shape (Any | None) – 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.

Returns:

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

Return type:

Array

See also

• jax.numpy.zeros()

• jax.numpy.empty_like()

• jax.numpy.ones_like()

• jax.numpy.full_like()

Examples

>>> x = jnp.arange(4)
>>> jnp.zeros_like(x)
Array([0, 0, 0, 0], dtype=int32)
>>> jnp.zeros_like(x, dtype=bool)
Array([False, False, False, False], dtype=bool)
>>> jnp.zeros_like(x, shape=(2, 3))
Array([[0, 0, 0],
       [0, 0, 0]], dtype=int32)