sub31

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Subnet 31 Naschain

• "__torch__.torch.nn.modules.conv.___torch_mangle_0.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_16.BatchNorm2d",
• "__torch__.model.efficientnet_a.___torch_mangle_14.MBConv",
• "__torch__.torch.nn.modules.conv.___torch_mangle_20.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_5.Conv2d",
• "__torch__.model.efficientnet_a.___torch_mangle_24.ConvBnAct",
• "__torch__.torch.nn.modules.conv.Conv2d",
• "torch.jit._pickle.build_intlist",
• "__torch__.model.efficientnet_a.___torch_mangle_35.MBConv",
• "__torch__.torch.nn.modules.conv.___torch_mangle_8.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_10.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_13.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_18.Conv2d",
• "__torch__.model.efficientnet_a.___torch_mangle_38.ConvBnAct",
• "__torch__.model.efficientnet_a.___torch_mangle_17.ConvBnAct",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_37.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_36.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_3.Conv2d",
• "__torch__.model.efficientnet_a.MBConv",
• "__torch__.model.efficientnet_a.SEBlock",
• "__torch__.torch.nn.modules.conv.___torch_mangle_23.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_26.BatchNorm2d",
• "__torch__.torch.nn.modules.linear.Linear",
• "__torch__.model.efficientnet_a.___torch_mangle_21.SEBlock",
• "__torch__.torch.nn.modules.conv.___torch_mangle_25.Conv2d",
• "__torch__.model.efficientnet_a.___torch_mangle_27.MBConv",
• "__torch__.model.efficientnet_a.EfficientNetV2",
• "__torch__.torch.nn.modules.conv.___torch_mangle_4.Conv2d",
• "torch._utils._rebuild_tensor_v2",
• "torch.LongStorage",
• "__torch__.model.efficientnet_a.___torch_mangle_9.ConvBnAct",
• "__torch__.torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "__torch__.model.efficientnet_a.___torch_mangle_30.ConvBnAct",
• "collections.OrderedDict",
• "__torch__.model.efficientnet_a.___torch_mangle_32.ConvBnAct",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_6.BatchNorm2d",
• "__torch__.torch.nn.modules.flatten.Flatten",
• "__torch__.torch.nn.modules.conv.___torch_mangle_2.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_28.Conv2d",
• "__torch__.model.efficientnet_a.___torch_mangle_1.ConvBnAct",
• "__torch__.model.efficientnet_a.___torch_mangle_34.SEBlock",
• "__torch__.torch.nn.modules.conv.___torch_mangle_33.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_31.Conv2d",
• "__torch__.torch.nn.modules.linear.Identity",
• "__torch__.model.efficientnet_a.___torch_mangle_22.MBConv",
• "__torch__.model.efficientnet_a.___torch_mangle_7.ConvBnAct",
• "__torch__.model.efficientnet_a.___torch_mangle_11.SEBlock",
• "__torch__.torch.nn.modules.conv.___torch_mangle_15.Conv2d",
• "__torch__.model.efficientnet_a.___torch_mangle_19.ConvBnAct",
• "__torch__.model.efficientnet_a.ConvBnAct",
• "__torch__.torch.nn.modules.conv.___torch_mangle_12.Conv2d",
• "__torch__.torch.nn.modules.activation.GELU",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_29.BatchNorm2d",
• "torch.FloatStorage",
• "__torch__.torch.nn.modules.container.Sequential"

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