ag_device: Set the default compute device for ag_* operations
In ggmlR: 'GGML' Tensor Operations for Machine Learning
ag_device R Documentation
Set the default compute device for ag_* operations
Description
Switches all subsequent ag_tensor / ag_param operations to run
on the specified device. Calling ag_device("gpu") initialises the
best available ggml backend (Vulkan, Metal, CUDA, or CPU fallback) the first
time it is called.
Usage
ag_device(device)
Arguments
device
"cpu" (default) or "gpu"
Details
Switching to the CPU moves every ag_buffer on the GPU
to the host first; plan for host memory of about twice the buffers' device
size (R stores the values as doubles).
Value
Invisibly the previous device string
ggmlR documentation built on Oct. 23, 2026, 1:07 a.m.
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| ag_device | R Documentation |
Set the default compute device for ag_* operations
Description
Switches all subsequent ag_tensor / ag_param operations to run
on the specified device. Calling ag_device("gpu") initialises the
best available ggml backend (Vulkan, Metal, CUDA, or CPU fallback) the first
time it is called.
Usage
ag_device(device)
Arguments
device |
|
Details
Switching to the CPU moves every ag_buffer on the GPU
to the host first; plan for host memory of about twice the buffers' device
size (R stores the values as doubles).
Value
Invisibly the previous device string
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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