release code

Dassl.ProGrad.pytorch/dassl/modeling/ops/sequential2.py

@@ -0,0 +1,15 @@
+import torch.nn as nn
+
+
+class Sequential2(nn.Sequential):
+    """An alternative sequential container to nn.Sequential,
+    which accepts an arbitrary number of input arguments.
+    """
+
+    def forward(self, *inputs):
+        for module in self._modules.values():
+            if isinstance(inputs, tuple):
+                inputs = module(*inputs)
+            else:
+                inputs = module(inputs)
+        return inputs