def forward(self, u_value):
self.u_value = u_value
self.out = tff.sigmoid(u_value)
return self.out
def forward(self, u_value):
self.inputs = [u_value]
self.out = tff.sigmoid(u_value)
return self.out
def forward(self, u_value, is_numba):
self.u_value = u_value
self.out = tff.sigmoid(u_value, is_numba=is_numba)
return self.out
def forward(self, u_value, is_train=True, is_numba=False):
self.u_value = u_value
self.out = tff.sigmoid(u_value, is_numba=is_numba)
return self.out
