Method scatter

train.py:159–166

(self, inputs, kwargs, device_ids)

    
    """
    def scatter(self, inputs, kwargs, device_ids):
        # More like scatter and data prep at the same time. The point is we prep the data in such a way
        # that no scatter is necessary, and there's no need to shuffle stuff around different GPUs.
        devices = ['cuda:' + str(x) for x in device_ids]
        splits = self.prepare_data(inputs[0], devices, allocation=args.batch_alloc)

        return [[split[device_idx] for split in splits] for device_idx in range(len(devices))], \
            [kwargs] * len(devices)

    def gather(self, outputs, output_device):
        out = {}