dpnp.ndarray.copy

method

ndarray.copy(order='C', *, device=None, usm_type=None, sycl_queue=None)

Return a copy of the array.

Refer to dpnp.copy for full documentation.

Parameters:

  • order ({None, "C", "F", "A", "K"}, optional) --

    Memory layout of the newly output array.

    Default: "C".

  • device ({None, string, SyclDevice, SyclQueue, Device}, optional) --

    An array API concept of device where the output array is created. device can be None, a oneAPI filter selector string, an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device, an instance of dpctl.SyclQueue, or a dpctl.tensor.Device object returned by dpnp.ndarray.device.

    Default: None.

  • usm_type ({None, "device", "shared", "host"}, optional) --

    The type of SYCL USM allocation for the output array.

    Default: None.

  • sycl_queue ({None, SyclQueue}, optional) --

    A SYCL queue to use for output array allocation and copying. The sycl_queue can be passed as None (the default), which means to get the SYCL queue from device keyword if present or to use a default queue.

    Default: None.

Returns:

out -- A copy of the array.

Return type:

dpnp.ndarray

See also

dpnp.copy

Similar function with different default behavior

dpnp.copyto

Copies values from one array to another.

Notes

This function is the preferred method for creating an array copy. The function dpnp.copy() is similar, but it defaults to using order "K".

Examples

>>> import dpnp as np
>>> x = np.array([[1, 2, 3], [4, 5, 6]], order='F')
>>> y = x.copy()
>>> x.fill(0)

>>> x
array([[0, 0, 0],
       [0, 0, 0]])

>>> y
array([[1, 2, 3],
       [4, 5, 6]])

>>> y.flags['C_CONTIGUOUS']
True