Rating | Name | Duplication | Size | Complexity |
---|---|---|---|---|
F | recurrent_wrapper() | 0 | 141 | 29 |
F | recurrent() | 0 | 190 | 33 |
F | recurrent_apply() | 0 | 135 | 28 |
F | apply_batch_normalization() | 0 | 105 | 12 |
F | GradientDescent.__init__() | 0 | 78 | 16 |
F | Application.apply() | 0 | 75 | 21 |
F | VariableFilter.__call__() | 0 | 47 | 32 |
F | MainLoop.run() | 0 | 66 | 17 |
F | RecurrentStack.do_apply() | 0 | 65 | 15 |
F | skip_if_not_available() | 0 | 44 | 14 |
F | Model.__init__() | 0 | 25 | 13 |
F | ComputationGraph._get_variables() | 0 | 50 | 22 |
F | AttentionRecurrent.__init__() | 0 | 41 | 9 |
F | BatchNormalization._allocate() | 0 | 32 | 10 |
F | Profile.report() | 0 | 44 | 11 |