diff options
Diffstat (limited to 'ot/utils.py')
| -rw-r--r-- | ot/utils.py | 26 |
1 files changed, 21 insertions, 5 deletions
diff --git a/ot/utils.py b/ot/utils.py index 725ca00..a23ce7e 100644 --- a/ot/utils.py +++ b/ot/utils.py @@ -15,7 +15,7 @@ from scipy.spatial.distance import cdist import sys import warnings from inspect import signature -from .backend import get_backend +from .backend import get_backend, Backend __time_tic_toc = time.time() @@ -51,7 +51,8 @@ def kernel(x1, x2, method='gaussian', sigma=1, **kwargs): def laplacian(x): r"""Compute Laplacian matrix""" - L = np.diag(np.sum(x, axis=0)) - x + nx = get_backend(x) + L = nx.diag(nx.sum(x, axis=0)) - x return L @@ -136,7 +137,7 @@ def unif(n, type_as=None): return np.ones((n,)) / n else: nx = get_backend(type_as) - return nx.ones((n,)) / n + return nx.ones((n,), type_as=type_as) / n def clean_zeros(a, b, M): @@ -296,7 +297,8 @@ def cost_normalization(C, norm=None): def dots(*args): r""" dots function for multiple matrix multiply """ - return reduce(np.dot, args) + nx = get_backend(*args) + return reduce(nx.dot, args) def label_normalization(y, start=0): @@ -314,8 +316,9 @@ def label_normalization(y, start=0): y : array-like, shape (`n1`, ) The input vector of labels normalized according to given start value. """ + nx = get_backend(y) - diff = np.min(np.unique(y)) - start + diff = nx.min(nx.unique(y)) - start if diff != 0: y -= diff return y @@ -482,6 +485,19 @@ class BaseEstimator(object): arguments (no ``*args`` or ``**kwargs``). """ + nx: Backend = None + + def _get_backend(self, *arrays): + nx = get_backend( + *[input_ for input_ in arrays if input_ is not None] + ) + if nx.__name__ in ("jax", "tf"): + raise TypeError( + """JAX or TF arrays have been received but domain + adaptation does not support those backend.""") + self.nx = nx + return nx + @classmethod def _get_param_names(cls): r"""Get parameter names for the estimator""" |