PrunaAI

/

gcvit_small.in1k-turbo-green-smashed

like 0

Follow

Pruna AI 119

• "dill._dill._load_type",
• "torch.storage._load_from_bytes",
• "torch.nn.modules.linear.Identity",
• "timm.models.gcvit.GlobalContextVitBlock",
• "timm.layers.classifier.ClassifierHead",
• "timm.layers.norm.LayerNorm2d",
• "timm.models.gcvit.Stem",
• "timm.models.gcvit.GlobalContextVitStage",
• "timm.models.gcvit.LayerScale",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.pooling.MaxPool2d",
• "pit.x_fast.compile.X_Fast_Compiler",
• "timm.layers.norm.LayerNorm",
• "timm.models.gcvit.Downsample2d",
• "torch.nn.modules.activation.GELU",
• "timm.models.gcvit.MbConvBlock",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.flatten.Flatten",
• "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "timm.layers.activations.Sigmoid",
• "timm.models.gcvit.GlobalContextVit.forward",
• "timm.models.gcvit.GlobalContextVit",
• "pit.half.half.HalfHelper",
• "timm.layers.squeeze_excite.SEModule",
• "timm.layers.pos_embed_rel.RelPosBias",
• "torch.nn.modules.linear.Linear",
• "timm.layers.mlp.Mlp",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "timm.models.gcvit.FeatureBlock",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.container.Sequential",
• "timm.models.gcvit.WindowAttentionGlobal",
• "collections.OrderedDict",
• "timm.layers.activations.GELU"

How to fix it?