Self-Correction-Human-Parsing/modules/misc.py

import torch.nn as nn
import torch
import torch.distributed as dist

class GlobalAvgPool2d(nn.Module):
    def __init__(self):
        """Global average pooling over the input's spatial dimensions"""
        super(GlobalAvgPool2d, self).__init__()

    def forward(self, inputs):
        in_size = inputs.size()
        return inputs.view((in_size[0], in_size[1], -1)).mean(dim=2)

class SingleGPU(nn.Module):
    def __init__(self, module):
        super(SingleGPU, self).__init__()
        self.module=module

    def forward(self, input):
        return self.module(input.cuda(non_blocking=True))