Thouph

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experimental_efficientnetv2_m_8038

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• "timm.models._efficientnet_blocks.InvertedResidual",
• "torch.nn.modules.activation.SiLU",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "torch.LongStorage",
• "timm.models._efficientnet_blocks.ConvBnAct",
• "timm.layers.norm_act.BatchNormAct2d",
• "torch.FloatStorage",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.linear.Identity",
• "torch._utils._rebuild_parameter",
• "timm.layers.conv2d_same.Conv2dSame",
• "torch.nn.modules.flatten.Flatten",
• "torch.nn.modules.linear.Linear",
• "timm.models._efficientnet_blocks.EdgeResidual",
• "timm.models._efficientnet_blocks.SqueezeExcite",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "torch.nn.modules.activation.Sigmoid",
• "torch.nn.modules.container.Sequential",
• "__builtin__.set",
• "timm.models.efficientnet.EfficientNet"

How to fix it?