case class MultiheadAttention(wQ: Constant, wK: Constant, wV: Constant, wO: Constant, dropout: Double, train: Boolean, numHeads: Int, padToken: Long, linearized: Boolean) extends GenericModule[(Variable, Variable, Variable, STen), Variable] with Product with Serializable
Multi-head scaled dot product attention module
Input: (query,key,value,tokens) where query: batch x num queries x query dim key: batch x num k-v x key dim value: batch x num k-v x key value tokens: batch x num queries, long type
Tokens is used to carry over padding information and ignore the padding
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The implementation of the function.
The implementation of the function.
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xit can also use all thestate to compute its value.- Definition Classes
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Computes the gradient of loss with respect to the parameters.
Computes the gradient of loss with respect to the parameters.
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Returns the total number of optimizable parameters.
Returns the total number of optimizable parameters.
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- val numHeads: Int
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Returns the state variables which need gradient computation.
Returns the state variables which need gradient computation.
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List of optimizable, or non-optimizable, but stateful parameters
List of optimizable, or non-optimizable, but stateful parameters
Stateful means that the state is carried over the repeated forward calls.
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