Train step function. Args: inputs (Tensor): Input Tensor. kwargs (dict): Args for ``mmcv.parallel.sca

The iteration step during training. This method defines an iteration step during training, except for the back propagation and optimiz

Validation step function. Args: inputs (tuple): Input data. kwargs (dict): Args for ``scatter_kwargs``.

The iteration step during validation. This method shares the same signature as :func:`train_step`, but used during val epochs. Note th

Create a weighted version of a given loss function. To use this decorator, the loss function must have the signature like `loss_func(pred, tar

Init random seed for each worker.