ggml_silu_back: SiLU Backward (Graph)
In ggmlR: 'GGML' Tensor Operations for Machine Learning
ggml_silu_back R Documentation
SiLU Backward (Graph)
Description
Computes the backward pass for SiLU (Swish) activation.
Used during training for gradient computation.
Usage
ggml_silu_back(ctx, a, b)
Arguments
ctx
GGML context
a
Forward input tensor
b
Gradient tensor from upstream
Value
Gradient tensor for the input
ggmlR documentation built on July 14, 2026, 1:08 a.m.
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.
| ggml_silu_back | R Documentation |
SiLU Backward (Graph)
Description
Computes the backward pass for SiLU (Swish) activation. Used during training for gradient computation.
Usage
ggml_silu_back(ctx, a, b)
Arguments
ctx |
GGML context |
a |
Forward input tensor |
b |
Gradient tensor from upstream |
Value
Gradient tensor for the input
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.