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maxxvitv2_rmlp_base_rw_224.sw_in12k-turbo-tiny-green-smashed

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• "timm.models.maxxvit.AttentionCl",
• "timm.models.maxxvit.MaxxVitBlock",
• "timm.layers.mlp.Mlp",
• "timm.layers.norm.LayerNorm2d",
• "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "timm.layers.mlp.ConvMlp",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch._utils._rebuild_parameter",
• "collections.OrderedDict",
• "torch.nn.modules.flatten.Flatten",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.linear.Linear",
• "timm.models.maxxvit.Stem",
• "timm.models.maxxvit.Downsample2d",
• "timm.layers.pos_embed_rel.RelPosMlp",
• "timm.models.maxxvit.ConvNeXtBlock",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.activation.ReLU",
• "pit.half.half.HalfHelper",
• "timm.models.maxxvit.MaxxVitStage",
• "torch.nn.modules.conv.Conv2d",
• "dill._dill._load_type",
• "torch.storage._load_from_bytes",
• "pit.x_fast.compile.X_Fast_Compiler",
• "timm.layers.activations.GELU",
• "timm.layers.classifier.ClassifierHead",
• "timm.models.maxxvit.LayerScale",
• "timm.models.maxxvit.PartitionAttentionCl",
• "torch.nn.modules.linear.Identity",
• "timm.models.maxxvit.MaxxVit.forward",
• "torch.nn.modules.pooling.AvgPool2d",
• "timm.models.maxxvit.LayerScale2d",
• "timm.layers.norm_act.LayerNormAct2d",
• "torch.nn.modules.dropout.Dropout",
• "timm.models.maxxvit.MaxxVit",
• "timm.layers.norm.LayerNorm"

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