nn_permute_output_shape: Apply a permute layer's 'dims' to a per-sample shape
In ggmlR: 'GGML' Tensor Operations for Machine Learning
nn_permute_output_shape R Documentation
Apply a permute layer's 'dims' to a per-sample shape
Description
Shared by the sequential and functional shape passes so the two cannot
disagree.
Usage
nn_permute_output_shape(dims, shape)
Arguments
dims
Permutation in 'aperm' (source) order.
shape
Per-sample input shape.
Value
The permuted per-sample shape.
ggmlR documentation built on Oct. 23, 2026, 1:07 a.m.
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| nn_permute_output_shape | R Documentation |
Apply a permute layer's 'dims' to a per-sample shape
Description
Shared by the sequential and functional shape passes so the two cannot disagree.
Usage
nn_permute_output_shape(dims, shape)
Arguments
dims |
Permutation in 'aperm' (source) order. |
shape |
Per-sample input shape. |
Value
The permuted per-sample shape.
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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