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author | Edoardo Pasca <edo.paskino@gmail.com> | 2019-01-10 14:51:51 +0000 |
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committer | Edoardo Pasca <edo.paskino@gmail.com> | 2019-01-10 14:52:03 +0000 |
commit | 35c1ed097876b80f6de8f88da966d763162c04ff (patch) | |
tree | bfc574f6d89944d4f451631b8e211a3661385123 | |
parent | 4c1cdbe58a441a27e46da0d6983851740db94939 (diff) | |
download | regularization-35c1ed097876b80f6de8f88da966d763162c04ff.tar.gz regularization-35c1ed097876b80f6de8f88da966d763162c04ff.tar.bz2 regularization-35c1ed097876b80f6de8f88da966d763162c04ff.tar.xz regularization-35c1ed097876b80f6de8f88da966d763162c04ff.zip |
remove print
closes #86
-rw-r--r-- | Wrappers/Python/src/cpu_regularisers.pyx | 1 |
1 files changed, 0 insertions, 1 deletions
diff --git a/Wrappers/Python/src/cpu_regularisers.pyx b/Wrappers/Python/src/cpu_regularisers.pyx index 33d6eb7..7d57ed1 100644 --- a/Wrappers/Python/src/cpu_regularisers.pyx +++ b/Wrappers/Python/src/cpu_regularisers.pyx @@ -203,7 +203,6 @@ def TGV_CPU(inputData, regularisation_parameter, alpha1, alpha0, iterations, Lip iterations, LipshitzConst) elif inputData.ndim == 3: shape = inputData.shape - print (shape) out = inputData.copy() for i in range(shape[0]): out[i,:,:] = TGV_2D(inputData[i,:,:], regularisation_parameter, |