| import torch |
| from .Module import Module |
| |
| |
| class HardShrink(Module): |
| |
| def __init__(self, lambd=0.5): |
| assert type(lambd) == float |
| super(HardShrink, self).__init__() |
| self.lambd = lambd |
| |
| def updateOutput(self, input): |
| self._backend.HardShrink_updateOutput( |
| self._backend.library_state, |
| input, |
| self.output, |
| self.lambd |
| ) |
| return self.output |
| |
| def updateGradInput(self, input, gradOutput): |
| self._backend.HardShrink_updateGradInput( |
| self._backend.library_state, |
| input, |
| gradOutput, |
| self.gradInput, |
| self.lambd |
| ) |
| return self.gradInput |
