kaczmarj

/

prostate-tumor-resnet34.tcga-prad

like 3

• "__torch__.timm.models.resnet.___torch_mangle_174.BasicBlock",
• "__torch__.torch.nn.modules.conv.___torch_mangle_145.Conv2d",
• "__torch__.torch.nn.modules.activation.ReLU",
• "__torch__.timm.models.resnet.___torch_mangle_179.BasicBlock",
• "__torch__.torch.nn.modules.container.___torch_mangle_177.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_150.Conv2d",
• "__torch__.timm.models.resnet.___torch_mangle_178.BasicBlock",
• "__torch__.torch.nn.modules.conv.___torch_mangle_163.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_165.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.BatchNorm2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_156.BatchNorm2d",
• "collections.OrderedDict",
• "__torch__.timm.models.resnet.BasicBlock",
• "__torch__.timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_180.Sequential",
• "__torch__.timm.models.resnet.___torch_mangle_183.BasicBlock",
• "torch.LongStorage",
• "__torch__.torch.nn.modules.conv.___torch_mangle_158.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_164.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_149.Conv2d",
• "__torch__.torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_173.Sequential",
• "torch.jit._pickle.build_intlist",
• "__torch__.torch.nn.modules.flatten.Flatten",
• "__torch__.timm.models.resnet.___torch_mangle_182.BasicBlock",
• "torch._utils._rebuild_tensor_v2",
• "__torch__.torch.nn.modules.conv.___torch_mangle_166.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_181.Sequential",
• "__torch__.torch.nn.modules.pooling.___torch_mangle_144.MaxPool2d",
• "__torch__.timm.models.resnet.___torch_mangle_189.ResNet",
• "__torch__.torch.nn.modules.conv.___torch_mangle_157.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_147.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_184.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_143.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_176.Sequential",
• "__torch__.torch.nn.modules.linear.Identity",
• "__torch__.torch.nn.modules.conv.___torch_mangle_155.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_148.BatchNorm2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_172.Sequential",
• "torch.FloatStorage",
• "__torch__.timm.models.resnet.___torch_mangle_175.BasicBlock",
• "__torch__.torch.nn.modules.linear.___torch_mangle_188.Linear"

How to fix it?