download history blame contribute delete
Detected Pickle imports (80)
- "__torch__.timm.models._efficientnet_blocks.___torch_mangle_43.InvertedResidual",
- "__torch__.timm.layers.norm_act.___torch_mangle_11.BatchNormAct2d",
- "__torch__.timm.layers.norm_act.___torch_mangle_17.BatchNormAct2d",
- "__torch__.timm.models._efficientnet_blocks.___torch_mangle_37.SqueezeExcite",
- "__torch__.timm.models._efficientnet_blocks.___torch_mangle_29.SqueezeExcite",
- "__torch__.torch.nn.modules.container.___torch_mangle_32.Sequential",
- "torch.jit._pickle.build_intlist",
- "__torch__.timm.models._efficientnet_blocks.DepthwiseSeparableConv",
- "__torch__.timm.models._efficientnet_blocks.___torch_mangle_49.SqueezeExcite",
- "__torch__.timm.models._efficientnet_blocks.___torch_mangle_23.InvertedResidual",
- "__torch__.torch.nn.modules.flatten.Flatten",
- "__torch__.torch.nn.modules.conv.___torch_mangle_5.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_46.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_3.Conv2d",
- "__torch__.torch.nn.modules.linear.Linear",
- "__torch__.timm.layers.norm_act.___torch_mangle_45.BatchNormAct2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_21.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_26.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_0.Conv2d",
- "__torch__.torch.nn.modules.linear.Identity",
- "__torch__.timm.models.mobilenetv3.MobileNetV3",
- "__torch__.torch.nn.modules.container.___torch_mangle_57.Sequential",
- "__torch__.torch.nn.modules.conv.___torch_mangle_55.Conv2d",
- "__torch__.torch.nn.modules.dropout.Dropout",
- "__torch__.timm.layers.norm_act.___torch_mangle_25.BatchNormAct2d",
- "__torch__.timm.layers.norm_act.___torch_mangle_9.BatchNormAct2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_35.Conv2d",
- "__torch__.timm.layers.norm_act.___torch_mangle_4.BatchNormAct2d",
- "__torch__.torch.nn.modules.container.Sequential",
- "__torch__.timm.models._efficientnet_blocks.ConvBnAct",
- "__torch__.torch.nn.modules.conv.___torch_mangle_47.Conv2d",
- "__torch__.timm.models._efficientnet_blocks.InvertedResidual",
- "__torch__.timm.layers.norm_act.BatchNormAct2d",
- "__torch__.timm.models._efficientnet_blocks.___torch_mangle_14.InvertedResidual",
- "__torch__.timm.models._efficientnet_blocks.___torch_mangle_20.SqueezeExcite",
- "collections.OrderedDict",
- "__torch__.timm.models._efficientnet_blocks.___torch_mangle_31.InvertedResidual",
- "__torch__.timm.layers.norm_act.___torch_mangle_1.BatchNormAct2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_48.Conv2d",
- "__torch__.timm.models._efficientnet_blocks.___torch_mangle_38.InvertedResidual",
- "__torch__.torch.nn.modules.conv.___torch_mangle_40.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_10.Conv2d",
- "__torch__.torch.nn.modules.activation.Hardswish",
- "__torch__.torch.nn.modules.conv.___torch_mangle_30.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_44.Conv2d",
- "__torch__.torch.nn.modules.linear.___torch_mangle_56.Linear",
- "__torch__.torch.nn.modules.container.___torch_mangle_15.Sequential",
- "__torch__.torch.nn.modules.conv.___torch_mangle_2.Conv2d",
- "__torch__.torch.nn.modules.conv.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_7.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_18.Conv2d",
- "__torch__.torch.nn.modules.container.___torch_mangle_54.Sequential",
- "__torch__.torch.nn.modules.conv.___torch_mangle_28.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_19.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_8.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_33.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_50.Conv2d",
- "__torch__.timm.layers.norm_act.___torch_mangle_42.BatchNormAct2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_13.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_27.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_16.Conv2d",
- "torch.LongStorage",
- "torch.FloatStorage",
- "__torch__.torch.nn.modules.container.___torch_mangle_52.Sequential",
- "__torch__.torch.nn.modules.conv.___torch_mangle_12.Conv2d",
- "__torch__.torch.nn.modules.activation.ReLU",
- "__torch__.timm.models._efficientnet_blocks.SqueezeExcite",
- "__torch__.torch.nn.modules.conv.___torch_mangle_41.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_36.Conv2d",
- "__torch__.timm.layers.norm_act.___torch_mangle_6.BatchNormAct2d",
- "__torch__.timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
- "__torch__.timm.layers.norm_act.___torch_mangle_22.BatchNormAct2d",
- "__torch__.timm.models._efficientnet_blocks.___torch_mangle_51.InvertedResidual",
- "__torch__.torch.nn.modules.conv.___torch_mangle_24.Conv2d",
- "__torch__.torch.nn.modules.activation.Hardsigmoid",
- "__torch__.torch.nn.modules.pooling.AdaptiveAvgPool2d",
- "__torch__.torch.nn.modules.container.___torch_mangle_39.Sequential",
- "torch._utils._rebuild_tensor_v2",
- "__torch__.timm.layers.norm_act.___torch_mangle_34.BatchNormAct2d",
- "__torch__.torch.nn.modules.container.___torch_mangle_53.Sequential"
3.55 MB
- Xet hash:
- 317cf8696fa170eda30446079d05badeec827257e25063b1e965402bc0c089b2
- Size of remote file:
- 3.55 MB
- SHA256:
- df1bdd02aec479aefa9beceb97a56a66eb13ceaf7033f32f20603e0e839dc82c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.