support multiheadedattention

[Michael J Clark]

I noticed this doesn't support multiheadedattention. I plan to fix this, so no need for help, this is just a placeholder to make people aware of the issue.

import torch
from torch import nn
from torchsummaryX import summary
embedding = torch.nn.MultiheadAttention(2, 2) 
x = torch.zeros((2, 2, 2))
summary(embedding, x, x, x)

similar setup

import torch
from torch import nn
from torchsummaryX import summary
class Model(nn.Module):
    def __init__(self):
        super().__init__()
        self.embedding = torch.nn.MultiheadAttention(2, 2) 
    def forward(self, x):
        return self.embedding(x, x, x)
model = Model()
x = torch.zeros((2, 2, 2))
summary(model, x)

output: error due to empty dataframe

[Michael J Clark]

Looks like it's because it's a module, which we skip, but the action happen in the module, not in the children. I fixed it in #11