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| import torch | |
| import torch.nn as nn | |
| import torch.functional as F | |
| class batch_norm(nn.Module): | |
| def __init__(self, inp): | |
| super().__init__() | |
| self.batch = nn.BatchNorm2d(inp) | |
| self.relu = nn.ReLU() | |
| def forward(self, x): | |
| b = self.batch(x) | |
| op = self.relu(b) | |
| return op |