manhdofts03

/

PlantTraits

like 0

• "numpy.ndarray",
• "numpy.core.multiarray._reconstruct",
• "numpy.dtype"

How to fix it?

• "numpy.ndarray",
• "numpy.dtype",
• "numpy.core.multiarray._reconstruct"

How to fix it?

• "numpy.ndarray",
• "numpy.core.multiarray._reconstruct",
• "numpy.dtype"

How to fix it?

• "timm.layers.format.Format",
• "__main__.Model",
• "torch.nn.modules.dropout.Dropout",
• "torch.FloatStorage",
• "torch.nn.modules.conv.Conv2d",
• "timm.layers.patch_embed.PatchEmbed",
• "torch.nn.modules.activation.GELU",
• "torch.nn.modules.linear.Identity",
• "collections.OrderedDict",
• "timm.models.swin_transformer.WindowAttention",
• "timm.models.swin_transformer.SwinTransformer",
• "timm.models.swin_transformer.SwinTransformerBlock",
• "torch._utils._rebuild_tensor_v2",
• "__builtin__.set",
• "timm.layers.adaptive_avgmax_pool.FastAdaptiveAvgPool",
• "timm.models.swin_transformer.PatchMerging",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.activation.ReLU",
• "timm.models.swin_transformer.SwinTransformerStage",
• "timm.layers.classifier.ClassifierHead",
• "torch.nn.modules.linear.Linear",
• "torch._utils._rebuild_parameter",
• "__main__.MLP",
• "torch.LongStorage",
• "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "timm.layers.drop.DropPath",
• "torch.nn.modules.activation.Softmax",
• "timm.layers.mlp.Mlp",
• "torch.nn.modules.container.Sequential"

How to fix it?