nn_build_rms_norm: Build RMS normalization forward pass
In ggmlR: 'GGML' Tensor Operations for Machine Learning
nn_build_rms_norm R Documentation
Build RMS normalization forward pass
Description
RMS-normalize, then scale by gamma and shift by beta. No batch statistics
are involved, so training and inference build the same graph.
Usage
nn_build_rms_norm(ctx, input_tensor, layer)
Value
A ggml_tensor.
ggmlR documentation built on Oct. 23, 2026, 1:07 a.m.
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| nn_build_rms_norm | R Documentation |
Build RMS normalization forward pass
Description
RMS-normalize, then scale by gamma and shift by beta. No batch statistics are involved, so training and inference build the same graph.
Usage
nn_build_rms_norm(ctx, input_tensor, layer)
Value
A ggml_tensor.
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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