ggml_cont: Make Contiguous (Graph)
In ggmlR: 'GGML' Tensor Operations for Machine Learning
ggml_cont R Documentation
Make Contiguous (Graph)
Description
Makes a tensor contiguous in memory. Required after permute/transpose
before some operations.
Usage
ggml_cont(ctx, a)
Arguments
ctx
GGML context
a
Input tensor
Value
Contiguous tensor
Examples
ctx <- ggml_init(16 * 1024 * 1024)
a <- ggml_new_tensor_2d(ctx, GGML_TYPE_F32, 3, 4)
ggml_set_f32(a, 1:12)
transposed <- ggml_transpose(ctx, a)
contiguous <- ggml_cont(ctx, transposed)
ggml_free(ctx)
ggmlR documentation built on July 14, 2026, 1:08 a.m.
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.
| ggml_cont | R Documentation |
Make Contiguous (Graph)
Description
Makes a tensor contiguous in memory. Required after permute/transpose before some operations.
Usage
ggml_cont(ctx, a)
Arguments
ctx |
GGML context |
a |
Input tensor |
Value
Contiguous tensor
Examples
ctx <- ggml_init(16 * 1024 * 1024)
a <- ggml_new_tensor_2d(ctx, GGML_TYPE_F32, 3, 4)
ggml_set_f32(a, 1:12)
transposed <- ggml_transpose(ctx, a)
contiguous <- ggml_cont(ctx, transposed)
ggml_free(ctx)
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.