ggml_soft_max_ext_back: Softmax Backward Extended (Graph)
In ggmlR: 'GGML' Tensor Operations for Machine Learning
ggml_soft_max_ext_back R Documentation
Softmax Backward Extended (Graph)
Description
Backward pass for extended softmax operation.
Usage
ggml_soft_max_ext_back(ctx, a, b, scale = 1, max_bias = 0)
Arguments
ctx
GGML context
a
Softmax output tensor (from forward pass)
b
Gradient tensor from upstream
scale
Scale factor (same as forward pass)
max_bias
Maximum ALiBi bias (same as forward pass)
Value
Gradient tensor for the input
ggmlR documentation built on July 14, 2026, 1:08 a.m.
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| ggml_soft_max_ext_back | R Documentation |
Softmax Backward Extended (Graph)
Description
Backward pass for extended softmax operation.
Usage
ggml_soft_max_ext_back(ctx, a, b, scale = 1, max_bias = 0)
Arguments
ctx |
GGML context |
a |
Softmax output tensor (from forward pass) |
b |
Gradient tensor from upstream |
scale |
Scale factor (same as forward pass) |
max_bias |
Maximum ALiBi bias (same as forward pass) |
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.
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