Forward function. Args: inputs (tuple): Input data. kwargs (dict): Args for ``mmcv.parallel.scatter_gather.scatter_kwargs``.
(self, *inputs, **kwargs)
| 100 | return scatter_kwargs(inputs, kwargs, device_ids, dim=self.dim) |
| 101 | |
| 102 | def forward(self, *inputs, **kwargs): |
| 103 | """Forward function. |
| 104 | |
| 105 | Args: |
| 106 | inputs (tuple): Input data. |
| 107 | kwargs (dict): Args for |
| 108 | ``mmcv.parallel.scatter_gather.scatter_kwargs``. |
| 109 | """ |
| 110 | inputs, kwargs = self.scatter(inputs, kwargs, |
| 111 | [torch.cuda.current_device()]) |
| 112 | return self.module(*inputs[0], **kwargs[0]) |
| 113 | |
| 114 | def train_step(self, *inputs, **kwargs): |
| 115 | """Train step function. |