dot-compute_attention_component: antecedent: Tensor with shape [batch, length, channels]...
In ifrit98/transformR: An R Implementation of Transformer Model with Self Attention
Description
antecedent: Tensor with shape [batch, length, channels]
depth: specifying projection layer depth
filter_width: how wide should the attention component be
padding: must be in: c("VALID", "SAME", "LEFT")
Usage
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.compute_attention_component(
antecedent,
depth,
filter_width = 1L,
padding = "SAME",
name = "c",
vars_3d_num_heads = 0L
)
ifrit98/transformR documentation built on Nov. 26, 2019, 2:14 a.m.
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Description
antecedent: Tensor with shape [batch, length, channels] depth: specifying projection layer depth filter_width: how wide should the attention component be padding: must be in: c("VALID", "SAME", "LEFT")
Usage
1 2 3 4 5 6 7 8 | .compute_attention_component(
antecedent,
depth,
filter_width = 1L,
padding = "SAME",
name = "c",
vars_3d_num_heads = 0L
)
|
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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