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authorNathan Cassereau <84033440+ncassereau-idris@users.noreply.github.com>2022-08-01 17:38:05 +0200
committerGitHub <noreply@github.com>2022-08-01 17:38:05 +0200
commit0138dcf636c3f3f0e63110b08a8249f065e1fa73 (patch)
tree704ed82dff4c5807ef983c64a60bad6a0e54ef3d /ot
parent818c7ace20da36d8042b0d7ad7a712b27f7afd59 (diff)
[MRG] Solve example throwing an error when executed on a GPU (#391)
* Solve example throwing an error when executed on a GPU * add PR to releases.md * update pep8 command * pep8
Diffstat (limited to 'ot')
-rw-r--r--ot/gromov.py4
-rw-r--r--ot/lp/cvx.py2
-rw-r--r--ot/unbalanced.py4
3 files changed, 5 insertions, 5 deletions
diff --git a/ot/gromov.py b/ot/gromov.py
index 55ab0bd..7de8598 100644
--- a/ot/gromov.py
+++ b/ot/gromov.py
@@ -1581,7 +1581,7 @@ def gromov_barycenters(N, Cs, ps, p, lambdas, loss_fun,
error = []
- while(err > tol and cpt < max_iter):
+ while (err > tol and cpt < max_iter):
Cprev = C
T = [gromov_wasserstein(Cs[s], C, ps[s], p, loss_fun,
@@ -1725,7 +1725,7 @@ def fgw_barycenters(N, Ys, Cs, ps, lambdas, alpha, fixed_structure=False, fixed_
log_['err_structure'] = []
log_['Ts_iter'] = []
- while((err_feature > tol or err_structure > tol) and cpt < max_iter):
+ while ((err_feature > tol or err_structure > tol) and cpt < max_iter):
Cprev = C
Xprev = X
diff --git a/ot/lp/cvx.py b/ot/lp/cvx.py
index fbf3c0e..361ad0f 100644
--- a/ot/lp/cvx.py
+++ b/ot/lp/cvx.py
@@ -80,7 +80,7 @@ def barycenter(A, M, weights=None, verbose=False, log=False, solver='interior-po
if weights is None:
weights = np.ones(A.shape[1]) / A.shape[1]
else:
- assert(len(weights) == A.shape[1])
+ assert len(weights) == A.shape[1]
n_distributions = A.shape[1]
n = A.shape[0]
diff --git a/ot/unbalanced.py b/ot/unbalanced.py
index 90c920c..dd9a36e 100644
--- a/ot/unbalanced.py
+++ b/ot/unbalanced.py
@@ -734,7 +734,7 @@ def barycenter_unbalanced_stabilized(A, M, reg, reg_m, weights=None, tau=1e3,
if weights is None:
weights = nx.ones(n_hists, type_as=A) / n_hists
else:
- assert(len(weights) == A.shape[1])
+ assert len(weights) == A.shape[1]
if log:
log = {'err': []}
@@ -882,7 +882,7 @@ def barycenter_unbalanced_sinkhorn(A, M, reg, reg_m, weights=None,
if weights is None:
weights = nx.ones(n_hists, type_as=A) / n_hists
else:
- assert(len(weights) == A.shape[1])
+ assert len(weights) == A.shape[1]
if log:
log = {'err': []}