ggml_cross_entropy_loss_back: Cross-Entropy Loss Backward (Graph)
In ggmlR: 'GGML' Tensor Operations for Machine Learning
ggml_cross_entropy_loss_back R Documentation
Cross-Entropy Loss Backward (Graph)
Description
Gradient node for ggml_cross_entropy_loss.
Usage
ggml_cross_entropy_loss_back(ctx, a, b, c)
Arguments
ctx
GGML context
a
Upstream gradient
b
Logits from the forward pass
c
Labels from the forward pass
Details
ggml_build_backward_expand() inserts this automatically, so it is
rarely needed directly; it is exposed for hand-built backward graphs.
Value
Gradient w.r.t. the logits
See Also
ggml_cross_entropy_loss
ggmlR documentation built on Oct. 23, 2026, 1:07 a.m.
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| ggml_cross_entropy_loss_back | R Documentation |
Cross-Entropy Loss Backward (Graph)
Description
Gradient node for ggml_cross_entropy_loss.
Usage
ggml_cross_entropy_loss_back(ctx, a, b, c)
Arguments
ctx |
GGML context |
a |
Upstream gradient |
b |
Logits from the forward pass |
c |
Labels from the forward pass |
Details
ggml_build_backward_expand() inserts this automatically, so it is
rarely needed directly; it is exposed for hand-built backward graphs.
Value
Gradient w.r.t. the logits
See Also
ggml_cross_entropy_loss
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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