Spaces:

mouadenna

/

pv_segmentor_gradio

like 0

Build error

• "torch.nn.modules.dropout.Dropout",
• "segmentation_models_pytorch.encoders.senet.SENetEncoder",
• "pretrainedmodels.models.senet.SEModule",
• "segmentation_models_pytorch.decoders.deeplabv3.decoder.ASPPPooling",
• "segmentation_models_pytorch.base.modules.Activation",
• "torch.nn.modules.upsampling.UpsamplingBilinear2d",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.container.ModuleList",
• "segmentation_models_pytorch.decoders.deeplabv3.decoder.ASPPSeparableConv",
• "segmentation_models_pytorch.decoders.deeplabv3.decoder.DeepLabV3PlusDecoder",
• "segmentation_models_pytorch.decoders.deeplabv3.decoder.ASPP",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.activation.Sigmoid",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "pretrainedmodels.models.senet.SEResNeXtBottleneck",
• "torch.LongStorage",
• "segmentation_models_pytorch.decoders.deeplabv3.model.DeepLabV3Plus",
• "torch.FloatStorage",
• "torch.nn.modules.conv.Conv2d",
• "segmentation_models_pytorch.base.heads.SegmentationHead",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "segmentation_models_pytorch.decoders.deeplabv3.decoder.SeparableConv2d",
• "__builtin__.set"

How to fix it?