jax.numpy.full
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jax.numpy.full#
- jax.numpy.full(shape,fill_value,dtype=None,*,device=None)[source]#
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 |TypedNdArray) – 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 thefill value.
device (Device |Sharding |None) – (optional)
DeviceorShardingto which the created array will be committed.
- Returns:
Array of the specified shape and dtype, on the specified device if specified.
- Return type:
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)
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