jax.numpy.ones
Contents
jax.numpy.ones#
- jax.numpy.ones(shape,dtype=None,*,device=None,out_sharding=None)[source]#
Create an array full of ones.
JAX implementation of
numpy.ones().- Parameters:
shape (Any) – int or sequence of ints specifying the shape of the created array.
dtype (str |type[Any]|dtype |SupportsDType |None) – optional dtype for the created array; defaults to float32 or float64depending on the X64 configuration (seeDefault dtypes and the X64 flag).
device (Device |Sharding |None) – (optional)
DeviceorShardingto which the created array will be committed. This argument exists forcompatibility with thePython Array API standard.out_sharding (NamedSharding |PartitionSpec |None) – (optional)
PartitionSpecorNamedShardingrepresenting the sharding of the created array (seeexplicit sharding for more details).This argument exists for consistency with other array creation routines across JAX.Specifying bothout_shardinganddevicewill result in an error.
- Returns:
Array of the specified shape and dtype, with the given device/sharding if specified.
- Return type:
Examples
>>>jnp.ones(4)Array([1., 1., 1., 1.], dtype=float32)>>>jnp.ones((2,3),dtype=bool)Array([[ True, True, True], [ True, True, True]], dtype=bool)
