linalg.py

from cupy.linalg import * # noqa: F403

# https://github.com/cupy/cupy/issues/9749
from cupy.linalg import lstsq  # noqa: F401

# cupy.linalg doesn't have __all__ in cupy<14. If it is added, replace this with
#
# from cupy.linalg import __all__ as linalg_all
_n: dict[str, object] = {}
exec('from cupy.linalg import *', _n)
del _n['__builtins__']
linalg_all = list(_n)  + ['lstsq']
del _n

try:
    # cupy 14 exports it, cupy 13 does not
    from cupy.linalg import annotations   # noqa: F401
    linalg_all += ['annotations']
except ImportError:
    pass


from ..common import _linalg
from .._internal import get_xp

import cupy as cp

# These functions are in both the main and linalg namespaces
from ._aliases import matmul, matrix_transpose, tensordot, vecdot # noqa: F401

cross = get_xp(cp)(_linalg.cross)
outer = get_xp(cp)(_linalg.outer)
EighResult = _linalg.EighResult
QRResult = _linalg.QRResult
SlogdetResult = _linalg.SlogdetResult
SVDResult = _linalg.SVDResult
eigh = get_xp(cp)(_linalg.eigh)
qr = get_xp(cp)(_linalg.qr)
slogdet = get_xp(cp)(_linalg.slogdet)
svd = get_xp(cp)(_linalg.svd)
cholesky = get_xp(cp)(_linalg.cholesky)
matrix_rank = get_xp(cp)(_linalg.matrix_rank)
pinv = get_xp(cp)(_linalg.pinv)
matrix_norm = get_xp(cp)(_linalg.matrix_norm)
svdvals = get_xp(cp)(_linalg.svdvals)
diagonal = get_xp(cp)(_linalg.diagonal)
trace = get_xp(cp)(_linalg.trace)

# These functions are completely new here. If the library already has them
# (i.e., numpy 2.0), use the library version instead of our wrapper.
if hasattr(cp.linalg, 'vector_norm'):
    vector_norm = cp.linalg.vector_norm
else:
    vector_norm = get_xp(cp)(_linalg.vector_norm)

__all__ = linalg_all + _linalg.__all__

# cupy 13 does not have __all__, cupy 14 has it: remove duplicates
__all__ = sorted(set(__all__))

def __dir__() -> list[str]:
    return __all__