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backend.py
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backend.py
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__all__ = [
"get_module",
"get_module_name",
"get_array_module",
"get_convolve",
"get_fftconvolve",
"get_oaconvolve",
"get_correlate",
"get_add_at",
"get_block_diag",
"get_toeplitz",
"get_csc_matrix",
"get_sparse_eye",
"get_lstsq",
"get_complex_dtype",
"get_real_dtype",
"to_numpy",
"to_cupy_conditional",
]
from types import ModuleType
from typing import Callable
import numpy as np
import numpy.typing as npt
import scipy.fft as sp_fft
from scipy.linalg import block_diag, lstsq, toeplitz
from scipy.signal import convolve, correlate, fftconvolve, oaconvolve
from scipy.sparse import csc_matrix, eye
from pylops.utils import deps
from pylops.utils.typing import DTypeLike, NDArray
if deps.cupy_enabled:
import cupy as cp
import cupyx
import cupyx.scipy.fft as cp_fft
from cupyx.scipy.linalg import block_diag as cp_block_diag
from cupyx.scipy.linalg import toeplitz as cp_toeplitz
from cupyx.scipy.sparse import csc_matrix as cp_csc_matrix
from cupyx.scipy.sparse import eye as cp_eye
if deps.cusignal_enabled:
import cusignal
cu_message = "cupy package not installed. Use numpy arrays of " "install cupy."
cusignal_message = (
"cusignal package not installed. Use numpy arrays of" "install cusignal."
)
def get_module(backend: str = "numpy") -> ModuleType:
"""Returns correct numerical module based on backend string
Parameters
----------
backend : :obj:`str`, optional
Backend used for dot test computations (``numpy`` or ``cupy``). This
parameter will be used to choose how to create the random vectors.
Returns
-------
mod : :obj:`func`
Module to be used to process array (:mod:`numpy` or :mod:`cupy`)
"""
if backend == "numpy":
ncp = np
elif backend == "cupy":
ncp = cp
else:
raise ValueError("backend must be numpy or cupy")
return ncp
def get_module_name(mod: ModuleType) -> str:
"""Returns name of numerical module based on input numerical module
Parameters
----------
mod : :obj:`func`
Module to be used to process array (:mod:`numpy` or :mod:`cupy`)
Returns
-------
backend : :obj:`str`, optional
Backend used for dot test computations (``numpy`` or ``cupy``). This
parameter will be used to choose how to create the random vectors.
"""
if mod == np:
backend = "numpy"
elif mod == cp:
backend = "cupy"
else:
raise ValueError("module must be numpy or cupy")
return backend
def get_array_module(x: npt.ArrayLike) -> ModuleType:
"""Returns correct numerical module based on input
Parameters
----------
x : :obj:`numpy.ndarray`
Array
Returns
-------
mod : :obj:`func`
Module to be used to process array (:mod:`numpy` or :mod:`cupy`)
"""
if deps.cupy_enabled:
return cp.get_array_module(x)
else:
return np
def get_convolve(x: npt.ArrayLike) -> Callable:
"""Returns correct convolve module based on input
Parameters
----------
x : :obj:`numpy.ndarray`
Array
Returns
-------
mod : :obj:`func`
Module to be used to process array (:mod:`numpy` or :mod:`cupy`)
"""
if not deps.cupy_enabled:
return convolve
if cp.get_array_module(x) == np:
return convolve
else:
if deps.cusignal_enabled:
return cusignal.convolution.convolve
else:
raise ModuleNotFoundError(cusignal_message)
def get_fftconvolve(x: npt.ArrayLike) -> Callable:
"""Returns correct fftconvolve module based on input
Parameters
----------
x : :obj:`numpy.ndarray`
Array
Returns
-------
mod : :obj:`func`
Module to be used to process array (:mod:`numpy` or :mod:`cupy`)
"""
if not deps.cupy_enabled:
return fftconvolve
if cp.get_array_module(x) == np:
return fftconvolve
else:
if deps.cusignal_enabled:
return cusignal.convolution.fftconvolve
else:
raise ModuleNotFoundError(cusignal_message)
def get_oaconvolve(x: npt.ArrayLike) -> Callable:
"""Returns correct oaconvolve module based on input
Parameters
----------
x : :obj:`numpy.ndarray`
Array
Returns
-------
mod : :obj:`func`
Module to be used to process array (:mod:`numpy` or :mod:`cupy`)
"""
if not deps.cupy_enabled:
return oaconvolve
if cp.get_array_module(x) == np:
return oaconvolve
else:
raise NotImplementedError(
"oaconvolve not implemented in "
"cupy/cusignal. Consider using a different"
"option..."
)
def get_correlate(x: npt.ArrayLike) -> Callable:
"""Returns correct correlate module based on input
Parameters
----------
x : :obj:`numpy.ndarray`
Array
Returns
-------
mod : :obj:`func`
Module to be used to process array (:mod:`numpy` or :mod:`cupy`)
"""
if not deps.cupy_enabled:
return correlate
if cp.get_array_module(x) == np:
return correlate
else:
if deps.cusignal_enabled:
return cusignal.convolution.correlate
else:
raise ModuleNotFoundError(cusignal_message)
def get_add_at(x: npt.ArrayLike) -> Callable:
"""Returns correct add.at module based on input
Parameters
----------
x : :obj:`numpy.ndarray`
Array
Returns
-------
mod : :obj:`func`
Module to be used to process array (:mod:`numpy` or :mod:`cupy`)
"""
if not deps.cupy_enabled:
return np.add.at
if cp.get_array_module(x) == np:
return np.add.at
else:
return cupyx.scatter_add
def get_block_diag(x: npt.ArrayLike) -> Callable:
"""Returns correct block_diag module based on input
Parameters
----------
x : :obj:`numpy.ndarray`
Array
Returns
-------
mod : :obj:`func`
Module to be used to process array (:mod:`numpy` or :mod:`cupy`)
"""
if not deps.cupy_enabled:
return block_diag
if cp.get_array_module(x) == np:
return block_diag
else:
return cp_block_diag
def get_toeplitz(x: npt.ArrayLike) -> Callable:
"""Returns correct toeplitz module based on input
Parameters
----------
x : :obj:`numpy.ndarray`
Array
Returns
-------
mod : :obj:`func`
Module to be used to process array (:mod:`numpy` or :mod:`cupy`)
"""
if not deps.cupy_enabled:
return toeplitz
if cp.get_array_module(x) == np:
return toeplitz
else:
return cp_toeplitz
def get_csc_matrix(x: npt.ArrayLike) -> Callable:
"""Returns correct csc_matrix module based on input
Parameters
----------
x : :obj:`numpy.ndarray`
Array
Returns
-------
mod : :obj:`func`
Module to be used to process array (:mod:`numpy` or :mod:`cupy`)
"""
if not deps.cupy_enabled:
return csc_matrix
if cp.get_array_module(x) == np:
return csc_matrix
else:
return cp_csc_matrix
def get_sparse_eye(x: npt.ArrayLike) -> Callable:
"""Returns correct sparse eye module based on input
Parameters
----------
x : :obj:`numpy.ndarray` or :obj:`cupy.ndarray`
Array
Returns
-------
mod : :obj:`func`
Module to be used to process array (:mod:`numpy` or :mod:`cupy`)
"""
if not deps.cupy_enabled:
return eye
if cp.get_array_module(x) == np:
return eye
else:
return cp_eye
def get_lstsq(x: npt.ArrayLike) -> Callable:
"""Returns correct lstsq module based on input
Parameters
----------
x : :obj:`numpy.ndarray`
Array
Returns
-------
mod : :obj:`func`
Module to be used to process array (:mod:`numpy` or :mod:`cupy`)
"""
if not deps.cupy_enabled:
return lstsq
if cp.get_array_module(x) == np:
return lstsq
else:
return cp.linalg.lstsq
def get_sp_fft(x: npt.ArrayLike) -> Callable:
"""Returns correct scipy.fft module based on input
Parameters
----------
x : :obj:`numpy.ndarray`
Array
Returns
-------
mod : :obj:`func`
Module to be used to process array (:mod:`numpy` or :mod:`cupy`)
"""
if not deps.cupy_enabled:
return sp_fft
if cp.get_array_module(x) == np:
return sp_fft
else:
return cp_fft
def get_complex_dtype(dtype: DTypeLike) -> DTypeLike:
"""Returns a complex type in the precision of the input type.
Parameters
----------
dtype : :obj:`numpy.dtype`
Input dtype.
Returns
-------
complex_dtype : :obj:`numpy.dtype`
Complex output type.
"""
return (np.ones(1, dtype=dtype) + 1j * np.ones(1, dtype=dtype)).dtype
def get_real_dtype(dtype: DTypeLike) -> DTypeLike:
"""Returns a real type in the precision of the input type.
Parameters
----------
dtype : :obj:`numpy.dtype`
Input dtype.
Returns
-------
real_dtype : :obj:`numpy.dtype`
Real output type.
"""
return np.real(np.ones(1, dtype)).dtype
def to_numpy(x: NDArray) -> NDArray:
"""Convert x to numpy array
Parameters
----------
x : :obj:`numpy.ndarray` or :obj:`cupy.ndarray`
Array to evaluate
Returns
-------
x : :obj:`cupy.ndarray`
Converted array
"""
if deps.cupy_enabled:
if cp.get_array_module(x) == cp:
x = cp.asnumpy(x)
return x
def to_cupy_conditional(x: npt.ArrayLike, y: npt.ArrayLike) -> NDArray:
"""Convert y to cupy array conditional to x being a cupy array
Parameters
----------
x : :obj:`numpy.ndarray` or :obj:`cupy.ndarray`
Array to evaluate
y : :obj:`numpy.ndarray`
Array to convert
Returns
-------
y : :obj:`cupy.ndarray`
Converted array
"""
if deps.cupy_enabled:
if cp.get_array_module(x) == cp and cp.get_array_module(y) == np:
y = cp.asarray(y)
return y