Jenthe

/

ECAPA2

like 9

• "torch.LongStorage",
• "__torch__.transforms.torch.normalize.Normalize",
• "__torch__.torch.nn.modules.linear.___torch_mangle_27.Linear",
• "__torch__.torch.nn.modules.batchnorm.BatchNorm2d",
• "__torch__.torchaudio.transforms._transforms.Spectrogram",
• "__torch__.nets.modules.squeeze_excitation.SEBlock2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_19.Sequential",
• "__torch__.torch.nn.modules.container.___torch_mangle_32.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_0.Conv2d",
• "__torch__.torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_34.Conv1d",
• "__torch__.transforms.torch.log.Log",
• "__torch__.torch.nn.modules.linear.___torch_mangle_28.Linear",
• "__torch__.torch.nn.modules.container.___torch_mangle_3.Sequential",
• "__torch__.torch.nn.modules.container.___torch_mangle_39.Sequential",
• "__torch__.torch.nn.modules.linear.___torch_mangle_1.Linear",
• "torch.device",
• "__torch__.torch.nn.modules.conv.___torch_mangle_33.Conv1d",
• "__torch__.nets.modules.squeeze_excitation.___torch_mangle_15.SEBlock2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_37.Sequential",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_22.BatchNorm1d",
• "__torch__.torch.nn.modules.activation.Sigmoid",
• "__torch__.torch.nn.modules.conv.___torch_mangle_11.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_25.Conv1d",
• "__torch__.torch.nn.modules.linear.___torch_mangle_38.Linear",
• "__torch__.torch.nn.modules.container.___torch_mangle_26.ModuleList",
• "__torch__.torch.nn.modules.linear.___torch_mangle_12.Linear",
• "torch.jit._pickle.build_intlist",
• "torch._utils._rebuild_tensor_v2",
• "torch.FloatStorage",
• "__torch__.nets.modules.res2net_conv.Res2NetConv1d",
• "__torch__.torch.nn.modules.batchnorm.BatchNorm1d",
• "__torch__.torch.nn.modules.container.___torch_mangle_5.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_20.Conv2d",
• "__torch__.torch.nn.modules.conv.Conv1d",
• "torch.jit._pickle.restore_type_tag",
• "__torch__.nets.ecapa2_mixup_final_HF.Net",
• "__torch__.torch.nn.modules.container.___torch_mangle_2.Sequential",
• "__torch__.torch.nn.modules.linear.Linear",
• "__torch__.torch.nn.modules.container.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_7.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_30.Sequential",
• "__torch__.torch.nn.modules.container.ModuleList",
• "__torch__.nets.modules.squeeze_excitation.SEBlock",
• "__torch__.torch.nn.modules.conv.___torch_mangle_31.Conv1d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_9.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_36.BatchNorm1d",
• "__torch__.torch.nn.modules.activation.ReLU",
• "__torch__.torch.nn.modules.container.___torch_mangle_35.Sequential",
• "__torch__.torch.nn.modules.container.___torch_mangle_6.Sequential",
• "__torch__.torch.nn.modules.container.___torch_mangle_16.Sequential",
• "__torch__.nets.modules.statspool_fast.AttentiveStatPoolingContextChannelEfficientVAD",
• "__torch__.torch.nn.modules.conv.___torch_mangle_4.Conv2d",
• "collections.OrderedDict",
• "__torch__.torch.nn.modules.container.___torch_mangle_17.Sequential",
• "__torch__.torch.nn.modules.container.___torch_mangle_21.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_18.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_8.Sequential",
• "__torch__.torch.nn.modules.container.___torch_mangle_23.Sequential",
• "__torch__.torch.nn.modules.linear.___torch_mangle_13.Linear",
• "__torch__.torch.nn.modules.conv.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_29.Sequential",
• "__torch__.torch.nn.modules.container.___torch_mangle_14.Sequential",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_10.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_24.Conv1d"

How to fix it?