Inzynierka_Gwiazdy/machine_learning/Lib/site-packages/scipy/fft/_backend.py
2023-09-20 19:46:58 +02:00

192 lines
6.2 KiB
Python

import scipy._lib.uarray as ua
from . import _fftlog
from . import _pocketfft
class _ScipyBackend:
"""The default backend for fft calculations
Notes
-----
We use the domain ``numpy.scipy`` rather than ``scipy`` because ``uarray``
treats the domain as a hierarchy. This means the user can install a single
backend for ``numpy`` and have it implement ``numpy.scipy.fft`` as well.
"""
__ua_domain__ = "numpy.scipy.fft"
@staticmethod
def __ua_function__(method, args, kwargs):
fn = getattr(_pocketfft, method.__name__, None)
if fn is None:
fn = getattr(_fftlog, method.__name__, None)
if fn is None:
return NotImplemented
return fn(*args, **kwargs)
_named_backends = {
'scipy': _ScipyBackend,
}
def _backend_from_arg(backend):
"""Maps strings to known backends and validates the backend"""
if isinstance(backend, str):
try:
backend = _named_backends[backend]
except KeyError as e:
raise ValueError('Unknown backend {}'.format(backend)) from e
if backend.__ua_domain__ != 'numpy.scipy.fft':
raise ValueError('Backend does not implement "numpy.scipy.fft"')
return backend
def set_global_backend(backend, coerce=False, only=False, try_last=False):
"""Sets the global fft backend
This utility method replaces the default backend for permanent use. It
will be tried in the list of backends automatically, unless the
``only`` flag is set on a backend. This will be the first tried
backend outside the :obj:`set_backend` context manager.
Parameters
----------
backend : {object, 'scipy'}
The backend to use.
Can either be a ``str`` containing the name of a known backend
{'scipy'} or an object that implements the uarray protocol.
coerce : bool
Whether to coerce input types when trying this backend.
only : bool
If ``True``, no more backends will be tried if this fails.
Implied by ``coerce=True``.
try_last : bool
If ``True``, the global backend is tried after registered backends.
Raises
------
ValueError: If the backend does not implement ``numpy.scipy.fft``.
Notes
-----
This will overwrite the previously set global backend, which, by default, is
the SciPy implementation.
Examples
--------
We can set the global fft backend:
>>> from scipy.fft import fft, set_global_backend
>>> set_global_backend("scipy") # Sets global backend. "scipy" is the default backend.
>>> fft([1]) # Calls the global backend
array([1.+0.j])
"""
backend = _backend_from_arg(backend)
ua.set_global_backend(backend, coerce=coerce, only=only, try_last=try_last)
def register_backend(backend):
"""
Register a backend for permanent use.
Registered backends have the lowest priority and will be tried after the
global backend.
Parameters
----------
backend : {object, 'scipy'}
The backend to use.
Can either be a ``str`` containing the name of a known backend
{'scipy'} or an object that implements the uarray protocol.
Raises
------
ValueError: If the backend does not implement ``numpy.scipy.fft``.
Examples
--------
We can register a new fft backend:
>>> from scipy.fft import fft, register_backend, set_global_backend
>>> class NoopBackend: # Define an invalid Backend
... __ua_domain__ = "numpy.scipy.fft"
... def __ua_function__(self, func, args, kwargs):
... return NotImplemented
>>> set_global_backend(NoopBackend()) # Set the invalid backend as global
>>> register_backend("scipy") # Register a new backend
>>> fft([1]) # The registered backend is called because the global backend returns `NotImplemented`
array([1.+0.j])
>>> set_global_backend("scipy") # Restore global backend to default
"""
backend = _backend_from_arg(backend)
ua.register_backend(backend)
def set_backend(backend, coerce=False, only=False):
"""Context manager to set the backend within a fixed scope.
Upon entering the ``with`` statement, the given backend will be added to
the list of available backends with the highest priority. Upon exit, the
backend is reset to the state before entering the scope.
Parameters
----------
backend : {object, 'scipy'}
The backend to use.
Can either be a ``str`` containing the name of a known backend
{'scipy'} or an object that implements the uarray protocol.
coerce : bool, optional
Whether to allow expensive conversions for the ``x`` parameter. e.g.,
copying a NumPy array to the GPU for a CuPy backend. Implies ``only``.
only : bool, optional
If only is ``True`` and this backend returns ``NotImplemented``, then a
BackendNotImplemented error will be raised immediately. Ignoring any
lower priority backends.
Examples
--------
>>> import scipy.fft as fft
>>> with fft.set_backend('scipy', only=True):
... fft.fft([1]) # Always calls the scipy implementation
array([1.+0.j])
"""
backend = _backend_from_arg(backend)
return ua.set_backend(backend, coerce=coerce, only=only)
def skip_backend(backend):
"""Context manager to skip a backend within a fixed scope.
Within the context of a ``with`` statement, the given backend will not be
called. This covers backends registered both locally and globally. Upon
exit, the backend will again be considered.
Parameters
----------
backend : {object, 'scipy'}
The backend to skip.
Can either be a ``str`` containing the name of a known backend
{'scipy'} or an object that implements the uarray protocol.
Examples
--------
>>> import scipy.fft as fft
>>> fft.fft([1]) # Calls default SciPy backend
array([1.+0.j])
>>> with fft.skip_backend('scipy'): # We explicitly skip the SciPy backend
... fft.fft([1]) # leaving no implementation available
Traceback (most recent call last):
...
BackendNotImplementedError: No selected backends had an implementation ...
"""
backend = _backend_from_arg(backend)
return ua.skip_backend(backend)
set_global_backend('scipy', try_last=True)