Unsure of how to implement an equation in PyTorch
$begingroup$
I am trying to implement the SummaRuNNer architecture ( Nallapati et al).
The equation I am stuck at in question is:
$$d = tanh(W_{d}frac{1}{N_{d}}sum_{j=1}^{N^{d}}[h^{f}_{j},h^{b}_{j}] + b)$$
Where,
$N_{d} = $ Num of sentences in the document, $h^{f}_{j}$ and $h^{b}_{j}$ are the forward and backward passes of the $j^{th}$ sentence, $$ is the concatenation operation, $b$ is a bias term and $W_{d}$ is a learnable parameter.
My question is, what is the best way to implement this in PyTorch.
Also, I am aware that there is already a version of this particular architecture implemented in PyTorch here, however, I am not sure if their implementation of this equation is quite right.
pytorch
asked 5 hours ago
YashodhanYashodhan
112
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Yashodhan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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$endgroup$
add a comment |
$begingroup$
I am trying to implement the SummaRuNNer architecture ( Nallapati et al).
The equation I am stuck at in question is:
$$d = tanh(W_{d}frac{1}{N_{d}}sum_{j=1}^{N^{d}}[h^{f}_{j},h^{b}_{j}] + b)$$
Where,
$N_{d} = $ Num of sentences in the document, $h^{f}_{j}$ and $h^{b}_{j}$ are the forward and backward passes of the $j^{th}$ sentence, $$ is the concatenation operation, $b$ is a bias term and $W_{d}$ is a learnable parameter.
My question is, what is the best way to implement this in PyTorch.
Also, I am aware that there is already a version of this particular architecture implemented in PyTorch here, however, I am not sure if their implementation of this equation is quite right.
pytorch
asked 5 hours ago
YashodhanYashodhan
112
New contributor
Yashodhan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I am trying to implement the SummaRuNNer architecture ( Nallapati et al).
The equation I am stuck at in question is:
$$d = tanh(W_{d}frac{1}{N_{d}}sum_{j=1}^{N^{d}}[h^{f}_{j},h^{b}_{j}] + b)$$
Where,
$N_{d} = $ Num of sentences in the document, $h^{f}_{j}$ and $h^{b}_{j}$ are the forward and backward passes of the $j^{th}$ sentence, $$ is the concatenation operation, $b$ is a bias term and $W_{d}$ is a learnable parameter.
My question is, what is the best way to implement this in PyTorch.
Also, I am aware that there is already a version of this particular architecture implemented in PyTorch here, however, I am not sure if their implementation of this equation is quite right.
pytorch
asked 5 hours ago
YashodhanYashodhan
112
New contributor
Yashodhan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I am trying to implement the SummaRuNNer architecture ( Nallapati et al).
The equation I am stuck at in question is:
$$d = tanh(W_{d}frac{1}{N_{d}}sum_{j=1}^{N^{d}}[h^{f}_{j},h^{b}_{j}] + b)$$
Where,
$N_{d} = $ Num of sentences in the document, $h^{f}_{j}$ and $h^{b}_{j}$ are the forward and backward passes of the $j^{th}$ sentence, $$ is the concatenation operation, $b$ is a bias term and $W_{d}$ is a learnable parameter.
My question is, what is the best way to implement this in PyTorch.
Also, I am aware that there is already a version of this particular architecture implemented in PyTorch here, however, I am not sure if their implementation of this equation is quite right.
pytorch
pytorch
asked 5 hours ago
YashodhanYashodhan
112
New contributor
Yashodhan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 5 hours ago
YashodhanYashodhan
112
New contributor
Yashodhan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 5 hours ago
YashodhanYashodhan
112
New contributor
Yashodhan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 5 hours ago
YashodhanYashodhan
112
asked 5 hours ago
YashodhanYashodhan
112
112
New contributor
Yashodhan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Yashodhan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Yashodhan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
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