ggml_rms_norm_back: RMS Norm Backward (Graph)
In ggmlR: 'GGML' Tensor Operations for Machine Learning
ggml_rms_norm_back R Documentation
RMS Norm Backward (Graph)
Description
Creates a graph node for backward pass of RMS normalization.
Used in training for computing gradients.
Usage
ggml_rms_norm_back(ctx, a, b, eps = 1e-05)
Arguments
ctx
GGML context
a
Input tensor (x from forward pass)
b
Gradient tensor (dy)
eps
Epsilon for numerical stability (default 1e-5)
Value
Tensor representing the gradient with respect to input
ggmlR documentation built on July 14, 2026, 1:08 a.m.
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| ggml_rms_norm_back | R Documentation |
RMS Norm Backward (Graph)
Description
Creates a graph node for backward pass of RMS normalization. Used in training for computing gradients.
Usage
ggml_rms_norm_back(ctx, a, b, eps = 1e-05)
Arguments
ctx |
GGML context |
a |
Input tensor (x from forward pass) |
b |
Gradient tensor (dy) |
eps |
Epsilon for numerical stability (default 1e-5) |
Value
Tensor representing the gradient with respect to 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.
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