ggml_graph_reset: Reset Graph (for backpropagation)
In ggmlR: 'GGML' Tensor Operations for Machine Learning
ggml_graph_reset R Documentation
Reset Graph (for backpropagation)
Description
Resets the computation graph for a new backward pass.
NOTE: This function requires the graph to have gradients allocated
(used for training/backpropagation). For inference-only graphs,
this function will cause an error.
Usage
ggml_graph_reset(graph)
Arguments
graph
Graph object with gradients allocated
Value
No return value, called for side effects
ggmlR documentation built on July 14, 2026, 1:08 a.m.
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| ggml_graph_reset | R Documentation |
Reset Graph (for backpropagation)
Description
Resets the computation graph for a new backward pass. NOTE: This function requires the graph to have gradients allocated (used for training/backpropagation). For inference-only graphs, this function will cause an error.
Usage
ggml_graph_reset(graph)
Arguments
graph |
Graph object with gradients allocated |
Value
No return value, called for side effects
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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