ggml_conv_1d_dw: Depthwise 1D Convolution (Graph)
In ggmlR: 'GGML' Tensor Operations for Machine Learning
ggml_conv_1d_dw R Documentation
Depthwise 1D Convolution (Graph)
Description
Applies depthwise 1D convolution: each input channel is convolved with its
own kernel.
Usage
ggml_conv_1d_dw(ctx, a, b, s0 = 1L, p0 = 0L, d0 = 1L)
Arguments
ctx
GGML context
a
Convolution kernel tensor
b
Input data tensor
s0
Stride (default 1)
p0
Padding (default 0)
d0
Dilation (default 1)
Value
Convolved tensor
ggmlR documentation built on July 14, 2026, 1:08 a.m.
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| ggml_conv_1d_dw | R Documentation |
Depthwise 1D Convolution (Graph)
Description
Applies depthwise 1D convolution: each input channel is convolved with its own kernel.
Usage
ggml_conv_1d_dw(ctx, a, b, s0 = 1L, p0 = 0L, d0 = 1L)
Arguments
ctx |
GGML context |
a |
Convolution kernel tensor |
b |
Input data tensor |
s0 |
Stride (default 1) |
p0 |
Padding (default 0) |
d0 |
Dilation (default 1) |
Value
Convolved tensor
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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