Some model parameters or buffers are not found in the checkpoint:Please read & provide the following

[WZR8277]

从官网下载'ibn_50x': 'https://github.com/XingangPan/IBN-Net/releases/download/v1.0/resnet50_ibn_a-d9d0bb7b.pth'到指定文件夹，训练时报如下错误后，加载checkpoints无效从头训练了： Some model parameters or buffers are not found in the checkpoint: NL_2.0.g.{weight, bias} NL_2.0.W.0.{weight, bias} NL_2.0.W.1.{weight, bias, running_mean, running_var} NL_2.0.theta.{weight, bias} NL_2.0.phi.{weight, bias} NL_2.1.g.{weight, bias} NL_2.1.W.0.{weight, bias} NL_2.1.W.1.{weight, bias, running_mean, running_var} NL_2.1.theta.{weight, bias} NL_2.1.phi.{weight, bias} NL_3.0.g.{weight, bias} NL_3.0.W.0.{weight, bias} NL_3.0.W.1.{weight, bias, running_mean, running_var} NL_3.0.theta.{weight, bias} NL_3.0.phi.{weight, bias} NL_3.1.g.{weight, bias} NL_3.1.W.0.{weight, bias} NL_3.1.W.1.{weight, bias, running_mean, running_var} NL_3.1.theta.{weight, bias} NL_3.1.phi.{weight, bias} NL_3.2.g.{weight, bias} NL_3.2.W.0.{weight, bias} NL_3.2.W.1.{weight, bias, running_mean, running_var} NL_3.2.theta.{weight, bias} NL_3.2.phi.{weight, bias}

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[gyh420]

从官网下载'ibn_50x': 'https://github.com/XingangPan/IBN-Net/releases/download/v1.0/resnet50_ibn_a-d9d0bb7b.pth'到指定文件夹，训练时报如下错误后，加载checkpoints无效从头训练了： Some model parameters or buffers are not found in the checkpoint: NL_2.0.g.{weight, bias} NL_2.0.W.0.{weight, bias} NL_2.0.W.1.{weight, bias, running_mean, running_var} NL_2.0.theta.{weight, bias} NL_2.0.phi.{weight, bias} NL_2.1.g.{weight, bias} NL_2.1.W.0.{weight, bias} NL_2.1.W.1.{weight, bias, running_mean, running_var} NL_2.1.theta.{weight, bias} NL_2.1.phi.{weight, bias} NL_3.0.g.{weight, bias} NL_3.0.W.0.{weight, bias} NL_3.0.W.1.{weight, bias, running_mean, running_var} NL_3.0.theta.{weight, bias} NL_3.0.phi.{weight, bias} NL_3.1.g.{weight, bias} NL_3.1.W.0.{weight, bias} NL_3.1.W.1.{weight, bias, running_mean, running_var} NL_3.1.theta.{weight, bias} NL_3.1.phi.{weight, bias} NL_3.2.g.{weight, bias} NL_3.2.W.0.{weight, bias} NL_3.2.W.1.{weight, bias, running_mean, running_var} NL_3.2.theta.{weight, bias} NL_3.2.phi.{weight, bias

请问您解决了吗