ggml_graph_dup: Duplicate a Computation Graph
In ggmlR: 'GGML' Tensor Operations for Machine Learning
ggml_graph_dup R Documentation
Duplicate a Computation Graph
Description
Copies graph into ctx. With force_grads = TRUE the copy
carries gradient storage even when the original does not, which is one way to
turn a plain forward graph into one that
ggml_build_backward_expand accepts.
Usage
ggml_graph_dup(ctx, graph, force_grads = FALSE)
Arguments
ctx
GGML context to allocate the copy in
graph
Graph to duplicate
force_grads
Logical; give the copy gradient storage (default
FALSE)
Value
A new graph object (external pointer)
See Also
ggml_build_forward_expand_grads
ggmlR documentation built on Oct. 23, 2026, 1:07 a.m.
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| ggml_graph_dup | R Documentation |
Duplicate a Computation Graph
Description
Copies graph into ctx. With force_grads = TRUE the copy
carries gradient storage even when the original does not, which is one way to
turn a plain forward graph into one that
ggml_build_backward_expand accepts.
Usage
ggml_graph_dup(ctx, graph, force_grads = FALSE)
Arguments
ctx |
GGML context to allocate the copy in |
graph |
Graph to duplicate |
force_grads |
Logical; give the copy gradient storage (default
|
Value
A new graph object (external pointer)
See Also
ggml_build_forward_expand_grads
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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