2-dimensional convolution.
(
model,
blob_in,
blob_out,
dim_in,
dim_out,
kernel,
weight_init=None,
bias_init=None,
WeightInitializer=None,
BiasInitializer=None,
group=1,
transform_inputs=None,
**kwargs
)
| 165 | |
| 166 | |
| 167 | def conv( |
| 168 | model, |
| 169 | blob_in, |
| 170 | blob_out, |
| 171 | dim_in, |
| 172 | dim_out, |
| 173 | kernel, |
| 174 | weight_init=None, |
| 175 | bias_init=None, |
| 176 | WeightInitializer=None, |
| 177 | BiasInitializer=None, |
| 178 | group=1, |
| 179 | transform_inputs=None, |
| 180 | **kwargs |
| 181 | ): |
| 182 | """2-dimensional convolution. |
| 183 | """ |
| 184 | return _ConvBase(model, False, blob_in, blob_out, dim_in, dim_out, kernel, |
| 185 | weight_init, bias_init, WeightInitializer, BiasInitializer, |
| 186 | group, transform_inputs, **kwargs) |
| 187 | |
| 188 | |
| 189 | def conv_transpose( |
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