def normalize_imagenet(x):
    ' Normalize input images according to ImageNet standards.\n    Args:\n        x (tensor): input images\n    '
    x = x.clone()
    x[:, 0] = ((x[:, 0] - 0.485) / 0.229)
    x[:, 1] = ((x[:, 1] - 0.456) / 0.224)
    x[:, 2] = ((x[:, 2] - 0.406) / 0.225)
    return x
Normalize input images according to ImageNet standards.
Args:
    x (tensor): input images
def normalize_imagenet(x):
    ' Normalize input images according to ImageNet standards.\n    Args:\n        x (tensor): input images\n    '
    x = x.clone()
    x[:, 0] = ((x[:, 0] - 0.485) / 0.229)
    x[:, 1] = ((x[:, 1] - 0.456) / 0.224)
    x[:, 2] = ((x[:, 2] - 0.406) / 0.225)
    return x