cn

odl.space.space_utils.cn(shape, dtype=None, impl='numpy', \*\*kwargs)[source]

Return a space of complex tensors.

Parameters
shapepositive int or sequence of positive ints

Number of entries per axis for elements in this space. A single integer results in a space with 1 axis.

dtypeoptional

Data type of each element. Can be provided in any way the numpy.dtype function understands, e.g. as built-in type or as a string. Only complex floating-point data types are allowed. For None, the TensorSpace.default_dtype of the created space is used in the form default_dtype(ComplexNumbers()).

implstr, optional

Impmlementation back-end for the space. See tensor_space_impl_names for available options.

kwargs :

Extra keyword arguments passed to the space constructor.

Returns
cnTensorSpace

See also

tensor_space

Space of tensors with arbitrary scalar data type.

rn

Real tensor space.

Examples

Space of complex 3-tuples with complex64 entries:

>>> odl.cn(3, dtype='complex64')
cn(3, dtype='complex64')

Complex 2x3 tensors with complex64 entries:

>>> odl.cn((2, 3), dtype='complex64')
cn((2, 3), dtype='complex64')

The default data type depends on the implementation. For impl='numpy', it is 'complex128':

>>> space = odl.cn((2, 3))
>>> space
cn((2, 3))
>>> space.dtype
dtype('complex128')