def forward(self, input):
"""
Forward pass of the function.
"""
return Func.sqnl(input)
def forward(self, x):
# make sure the input tensor is flattened
x = x.view(x.shape[0], -1)
# apply custom activation function
if self.activation == WEIGHTED_TANH:
x = self.fc1(x)
if self.inplace:
Func.weighted_tanh(x, weight=1, inplace=self.inplace)
else:
x = Func.weighted_tanh(x, weight=1, inplace=self.inplace)
if self.activation == MISH:
x = self.fc1(x)
if self.inplace:
Func.mish(x, inplace=self.inplace)
else:
x = Func.mish(x, inplace=self.inplace)
if self.activation == SILU:
x = self.fc1(x)
if self.inplace:
Func.silu(x, inplace=self.inplace)
else:
x = Func.silu(x, inplace=self.inplace)
if self.activation == ARIA2:
x = Func.aria2(self.fc1(x))
if self.activation == ESWISH:
x = Func.eswish(self.fc1(x))
if self.activation == SWISH:
x = Func.swish(self.fc1(x))
if self.activation == BMISH:
x = Func.beta_mish(self.fc1(x))
if self.activation == ELISH:
x = Func.elish(self.fc1(x))
if self.activation == HELISH:
x = Func.hard_elish(self.fc1(x))
if self.activation == MILA:
x = Func.mila(self.fc1(x))
if self.activation == SINERELU:
x = Func.sineReLU(self.fc1(x))
if self.activation == FTS:
x = Func.fts(self.fc1(x))
if self.activation == SQNL:
x = Func.sqnl(self.fc1(x))
if self.activation == ISRU:
x = Func.isru(self.fc1(x))
if self.activation == ISRLU:
x = Func.isrlu(self.fc1(x))
if self.activation == BENTID:
x = Func.bent_id(self.fc1(x))
if self.activation == SC:
x = Func.soft_clipping(self.fc1(x))
x = F.relu(self.fc2(x))
x = F.relu(self.fc3(x))
x = F.log_softmax(self.fc4(x), dim=1)
return x
def forward(self, input):
'''
Forward pass of the function.
'''
return Func.sqnl(input)