Is z = torch.add(x, y)
and z = torch.cat(x, y)
in pytorch same as
z = keras.layers.add([x, y])
and z = keras.layers.concatenate([x, y])
in keras?
Hi,
torch.add(x, y)
is equivalent to z = x + y
. Similar to keras but only accepts 2 tensors.
torch.cat((x, y), dim)
(note that you need one more pair of parentheses like brackets in keras) will concatenate in given dimension, same as keras.
Bests
You said that torch.add(x, y)
can add only 2 tensors. Why are we not able to person the operation on 3 or more tensors at once? Is it because the value may be affected or is it just how this thing is defined?
Actually, I do not understand why keras has implemented addition as an independent layer. In PyTorch, you can add any number of tensors by simply using +
sign between them. w = x + y + z
will do the same as w = torch.add(x, torch.add(y, z))
.
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