nn_functional_weight_elements: Count the weight elements a functional node will allocate
In ggmlR: 'GGML' Tensor Operations for Machine Learning
View source: R/nn_functional.R
nn_functional_weight_elements R Documentation
Count the weight elements a functional node will allocate
Description
Mirrors the tensor shapes nn_build_functional_node creates in
ctx_weights, so the context can be sized before the tensors exist.
Weights do not scale with the batch, which is what makes this a separate
count from the activations rather than a factor applied to them.
Usage
nn_functional_weight_elements(node, parent_shapes)
Details
Returns a double: a wide dense layer can exceed integer range on its own.
Value
A double, the number of float elements the node's weights occupy.
ggmlR documentation built on Oct. 23, 2026, 1:07 a.m.
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View source: R/nn_functional.R
| nn_functional_weight_elements | R Documentation |
Count the weight elements a functional node will allocate
Description
Mirrors the tensor shapes nn_build_functional_node creates in
ctx_weights, so the context can be sized before the tensors exist.
Weights do not scale with the batch, which is what makes this a separate
count from the activations rather than a factor applied to them.
Usage
nn_functional_weight_elements(node, parent_shapes)
Details
Returns a double: a wide dense layer can exceed integer range on its own.
Value
A double, the number of float elements the node's weights occupy.
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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