Group Convolution. This is essentially the same as Conv with a group argument passed in. We specialize this for backward interface compatibility.
(
model,
blob_in,
blob_out,
dim_in,
dim_out,
kernel,
weight_init=None,
bias_init=None,
group=1,
**kwargs
)
| 245 | |
| 246 | |
| 247 | def group_conv( |
| 248 | model, |
| 249 | blob_in, |
| 250 | blob_out, |
| 251 | dim_in, |
| 252 | dim_out, |
| 253 | kernel, |
| 254 | weight_init=None, |
| 255 | bias_init=None, |
| 256 | group=1, |
| 257 | **kwargs |
| 258 | ): |
| 259 | """Group Convolution. |
| 260 | |
| 261 | This is essentially the same as Conv with a group argument passed in. |
| 262 | We specialize this for backward interface compatibility. |
| 263 | """ |
| 264 | return conv(model, blob_in, blob_out, dim_in, dim_out, kernel, |
| 265 | weight_init=weight_init, bias_init=bias_init, |
| 266 | group=group, **kwargs) |
| 267 | |
| 268 | |
| 269 | def group_conv_deprecated( |
nothing calls this directly
no test coverage detected
searching dependent graphs…