Thanks alot, I did so, but It just reports False for just everything!:
status :  [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]`
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m0: <class 'torch.nn.parallel.data_parallel.DataParallel'>
m1: <class 'models.simpnet.simpnet'>
m0: <class 'models.simpnet.simpnet'>
m1: <class 'torch.nn.modules.container.Sequential'>
m0: <class 'torch.nn.modules.container.Sequential'>
m1: <class 'torch.nn.modules.conv.Conv2d'>
m0: <class 'torch.nn.modules.conv.Conv2d'>
m1: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m0: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m1: <class 'torch.nn.modules.activation.ReLU'>
m0: <class 'torch.nn.modules.activation.ReLU'>
m1: <class 'torch.nn.modules.conv.Conv2d'>
m0: <class 'torch.nn.modules.conv.Conv2d'>
m1: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m0: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m1: <class 'torch.nn.modules.activation.ReLU'>
m0: <class 'torch.nn.modules.activation.ReLU'>
m1: <class 'torch.nn.modules.conv.Conv2d'>
m0: <class 'torch.nn.modules.conv.Conv2d'>
m1: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m0: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m1: <class 'torch.nn.modules.activation.ReLU'>
m0: <class 'torch.nn.modules.activation.ReLU'>
m1: <class 'torch.nn.modules.conv.Conv2d'>
m0: <class 'torch.nn.modules.conv.Conv2d'>
m1: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m0: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m1: <class 'torch.nn.modules.activation.ReLU'>
m0: <class 'torch.nn.modules.activation.ReLU'>
m1: <class 'torch.nn.modules.conv.Conv2d'>
m0: <class 'torch.nn.modules.conv.Conv2d'>
m1: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m0: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m1: <class 'torch.nn.modules.activation.ReLU'>
m0: <class 'torch.nn.modules.activation.ReLU'>
m1: <class 'torch.nn.modules.pooling.MaxPool2d'>
m0: <class 'torch.nn.modules.pooling.MaxPool2d'>
m1: <class 'torch.nn.modules.dropout.Dropout2d'>
m0: <class 'torch.nn.modules.dropout.Dropout2d'>
m1: <class 'torch.nn.modules.conv.Conv2d'>
m0: <class 'torch.nn.modules.conv.Conv2d'>
m1: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m0: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m1: <class 'torch.nn.modules.activation.ReLU'>
m0: <class 'torch.nn.modules.activation.ReLU'>
m1: <class 'torch.nn.modules.conv.Conv2d'>
m0: <class 'torch.nn.modules.conv.Conv2d'>
m1: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m0: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m1: <class 'torch.nn.modules.activation.ReLU'>
m0: <class 'torch.nn.modules.activation.ReLU'>
m1: <class 'torch.nn.modules.conv.Conv2d'>
m0: <class 'torch.nn.modules.conv.Conv2d'>
m1: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m0: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m1: <class 'torch.nn.modules.activation.ReLU'>
m0: <class 'torch.nn.modules.activation.ReLU'>
m1: <class 'torch.nn.modules.conv.Conv2d'>
m0: <class 'torch.nn.modules.conv.Conv2d'>
m1: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m0: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m1: <class 'torch.nn.modules.activation.ReLU'>
m0: <class 'torch.nn.modules.activation.ReLU'>
m1: <class 'torch.nn.modules.conv.Conv2d'>
m0: <class 'torch.nn.modules.conv.Conv2d'>
m1: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m0: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m1: <class 'torch.nn.modules.activation.ReLU'>
m0: <class 'torch.nn.modules.activation.ReLU'>
m1: <class 'torch.nn.modules.pooling.MaxPool2d'>
m0: <class 'torch.nn.modules.pooling.MaxPool2d'>
m1: <class 'torch.nn.modules.dropout.Dropout2d'>
m0: <class 'torch.nn.modules.dropout.Dropout2d'>
m1: <class 'torch.nn.modules.conv.Conv2d'>
m0: <class 'torch.nn.modules.conv.Conv2d'>
m1: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m0: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m1: <class 'torch.nn.modules.activation.ReLU'>
m0: <class 'torch.nn.modules.activation.ReLU'>
m1: <class 'torch.nn.modules.conv.Conv2d'>
m0: <class 'torch.nn.modules.conv.Conv2d'>
m1: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m0: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m1: <class 'torch.nn.modules.activation.ReLU'>
m0: <class 'torch.nn.modules.activation.ReLU'>
m1: <class 'torch.nn.modules.conv.Conv2d'>
m0: <class 'torch.nn.modules.conv.Conv2d'>
m1: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m0: <class 'torch.nn.modules.batchnorm.BatchNorm2d'>
m1: <class 'torch.nn.modules.activation.ReLU'>
m0: <class 'torch.nn.modules.activation.ReLU'>
m1: <class 'torch.nn.modules.linear.Linear'>

This is weird!!