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davit_small.msft_in1k-turbo-tiny-green-smashed

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• "timm.models.davit.DaVit.forward",
• "timm.models.davit.Stem",
• "torch.storage._load_from_bytes",
• "torch.nn.modules.activation.Softmax",
• "timm.layers.mlp.Mlp",
• "timm.models.davit.ConvPosEnc",
• "timm.models.davit.ChannelBlock",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "pit.x_fast.compile.X_Fast_Compiler",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.dropout.Dropout",
• "pit.half.half.HalfHelper",
• "torch.nn.modules.linear.Identity",
• "timm.models.davit.Downsample",
• "torch._utils._rebuild_tensor_v2",
• "timm.models.davit.DaVit",
• "torch.nn.modules.conv.Conv2d",
• "timm.models.davit.DaVitStage",
• "timm.models.davit.SpatialBlock",
• "dill._dill._load_type",
• "torch.nn.modules.flatten.Flatten",
• "timm.layers.norm.LayerNorm",
• "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "timm.models.davit.WindowAttention",
• "timm.layers.norm.LayerNorm2d",
• "timm.layers.classifier.NormMlpClassifierHead",
• "torch._utils._rebuild_parameter",
• "timm.models.davit.ChannelAttention",
• "torch.nn.modules.activation.GELU",
• "collections.OrderedDict"

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