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cuDNN's RNN library supports variable length inputs. The RNN functions such as LSTM and GRU in chainer does not support that in native (users can support this feature with where function). Its specification is simple and useful, and it is required to keep compatibility with cuDNN's.
I write the detail below:
For example there are three input sequences, a, b and c:
a = [a1, a2, a3, a4]
b = [b1, b2, b3]
c = [c1]
where each element is a vector. These sequences need to be sorted by descending length.
A RNN function gets four variables, x1, x2, x3 and x4:
x1 = [a1, b1, c1]
x2 = [a2, b2]
x3 = [a3, b3]
x4 = [a4]
The text was updated successfully, but these errors were encountered:
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cuDNN's RNN library supports variable length inputs. The RNN functions such as LSTM and GRU in chainer does not support that in native (users can support this feature with
where
function). Its specification is simple and useful, and it is required to keep compatibility with cuDNN's.I write the detail below:
For example there are three input sequences, a, b and c:
where each element is a vector. These sequences need to be sorted by descending length.
A RNN function gets four variables, x1, x2, x3 and x4:
The text was updated successfully, but these errors were encountered: