ggml_glu_split: Generic GLU Split (Graph)
In ggmlR: 'GGML' Tensor Operations for Machine Learning
ggml_glu_split R Documentation
Generic GLU Split (Graph)
Description
Creates a graph node for GLU with separate input and gate tensors.
Unlike standard GLU which splits a single tensor, this takes two separate tensors.
Usage
ggml_glu_split(ctx, a, b, op)
Arguments
ctx
GGML context
a
Input tensor (the values to be gated)
b
Gate tensor (same shape as a)
op
GLU operation type (GGML_GLU_OP_REGLU, GGML_GLU_OP_GEGLU, etc.)
Value
Tensor with same shape as input tensors
ggmlR documentation built on July 14, 2026, 1:08 a.m.
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| ggml_glu_split | R Documentation |
Generic GLU Split (Graph)
Description
Creates a graph node for GLU with separate input and gate tensors. Unlike standard GLU which splits a single tensor, this takes two separate tensors.
Usage
ggml_glu_split(ctx, a, b, op)
Arguments
ctx |
GGML context |
a |
Input tensor (the values to be gated) |
b |
Gate tensor (same shape as a) |
op |
GLU operation type (GGML_GLU_OP_REGLU, GGML_GLU_OP_GEGLU, etc.) |
Value
Tensor with same shape as input tensors
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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