src/models/shufflenetv2.py

import torch
import torch.nn as nn
from torchvision.models import shufflenet_v2_x1_0

class ShuffleNetV2Classifier(nn.Module):
    def __init__(self, num_classes=5, pretrained=True):
        super().__init__()
        self.backbone = shufflenet_v2_x1_0(pretrained=pretrained)
        in_features = self.backbone.fc.in_features
        self.backbone.fc = nn.Linear(in_features, num_classes)
    def forward(self, x):
        return self.backbone(x)