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authorEdoardo Pasca <edo.paskino@gmail.com>2019-04-16 07:27:27 -0400
committerEdoardo Pasca <edo.paskino@gmail.com>2019-04-16 07:27:27 -0400
commite61ec15dfd3d5082e2c29194165b48245a6ac8a2 (patch)
treebdabfcd7059908dc781a9778bde4af77a37584ff
parent8150daa22398fb0f6308c5a39a06ec116c4c2532 (diff)
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removed TV2D
-rwxr-xr-xWrappers/Python/ccpi/optimisation/funcs.py7
1 files changed, 0 insertions, 7 deletions
diff --git a/Wrappers/Python/ccpi/optimisation/funcs.py b/Wrappers/Python/ccpi/optimisation/funcs.py
index efc465c..b2b9791 100755
--- a/Wrappers/Python/ccpi/optimisation/funcs.py
+++ b/Wrappers/Python/ccpi/optimisation/funcs.py
@@ -17,7 +17,6 @@
# See the License for the specific language governing permissions and
# limitations under the License.
-from ccpi.optimisation.ops import Identity, FiniteDiff2D
import numpy
from ccpi.framework import DataContainer
import warnings
@@ -99,12 +98,6 @@ class Norm2(Function):
raise ValueError ('Wrong size: x{0} out{1}'.format(x.shape,out.shape) )
-class TV2D(Norm2):
-
- def __init__(self, gamma):
- super(TV2D,self).__init__(gamma, 0)
- self.op = FiniteDiff2D()
- self.L = self.op.get_max_sing_val()
# Define a class for squared 2-norm