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import torch.nn as nn | |
import torch.nn.functional as F | |
import torch | |
from huggingface_hub import PyTorchModelHubMixin | |
class Generator(nn.Module, PyTorchModelHubMixin): | |
def __init__(self): | |
super(Generator, self).__init__() | |
def block(in_feat, out_feat, norm=False): | |
pass | |
self.model = nn.Sequential() | |
def forward(self, x, y): | |
pass | |