AttentionAugmentationLayer2D: Attention augmentation layer (2-D)
In ANTsX/ANTsRNet: Neural Networks for Medical Image Processing
AttentionAugmentationLayer2D R Documentation
Attention augmentation layer (2-D)
Description
Attention augmentation layer (2-D)
Value
output of tensor shape batchSize, height, width, depthOfQueries.
Arguments
- depthOfQueries
number of filters for queries.
- depthOfValues
number of filters for values.
- numberOfHeads
number of attention heads to use. It is required
that depthOfQueries/numberOfHeads > 0.
- isRelative
whether or not to use relative encodings.
Details
$initialize instantiates a new class.
$call main body.
$compute_output_shape computes the output shape.
Author(s)
Tustison NJ
ANTsX/ANTsRNet documentation built on Nov. 21, 2024, 4:07 a.m.
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| AttentionAugmentationLayer2D | R Documentation |
Attention augmentation layer (2-D)
Description
Attention augmentation layer (2-D)
Value
output of tensor shape batchSize, height, width, depthOfQueries.
Arguments
- depthOfQueries
number of filters for queries.
- depthOfValues
number of filters for values.
- numberOfHeads
number of attention heads to use. It is required that depthOfQueries/numberOfHeads > 0.
- isRelative
whether or not to use relative encodings.
Details
$initialize instantiates a new class.
$call main body.
$compute_output_shape computes the output shape.
Author(s)
Tustison NJ
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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