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author | Rémi Flamary <remi.flamary@gmail.com> | 2018-09-28 09:41:22 +0200 |
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committer | Rémi Flamary <remi.flamary@gmail.com> | 2018-09-28 09:41:22 +0200 |
commit | ee8ed4fa101861eec9e578f09aee4367af593af1 (patch) | |
tree | 1996b7edaafe5f671a5275a37d6fd5cf7bf2051a /ot/gpu/bregman.py | |
parent | 5e7bfbcbc99ce5915873147677b434c0b1d10fc8 (diff) |
update documentation
Diffstat (limited to 'ot/gpu/bregman.py')
-rw-r--r-- | ot/gpu/bregman.py | 7 |
1 files changed, 6 insertions, 1 deletions
diff --git a/ot/gpu/bregman.py b/ot/gpu/bregman.py index 600ead4..978b307 100644 --- a/ot/gpu/bregman.py +++ b/ot/gpu/bregman.py @@ -16,7 +16,10 @@ from . import utils def sinkhorn_knopp(a, b, M, reg, numItermax=1000, stopThr=1e-9, verbose=False, log=False, to_numpy=True, **kwargs): """ - Solve the entropic regularization optimal transport problem and return the OT matrix + Solve the entropic regularization optimal transport on GPU + + If the input matrix are in numpy format, they will be uploaded to the + GPU first which can incur significant time overhead. The function solves the following optimization problem: @@ -56,6 +59,8 @@ def sinkhorn_knopp(a, b, M, reg, numItermax=1000, stopThr=1e-9, Print information along iterations log : bool, optional record log if True + to_numpy : boolean, optional (default True) + If true convert back the GPU array result to numpy format. Returns |