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cyrilzakka avatar cyrilzakka commented on July 26, 2024 1

Here's how I fixed it:

def init_weights(self, pretrained=None):
        """Initialize the weights in backbone.
        Args:
            pretrained (str, optional): Path to pre-trained weights.
                Defaults to None.
        """

        def _init_weights(m):
            if isinstance(m, nn.Linear):
                trunc_normal_(m.weight, std=.02)
                if isinstance(m, nn.Linear) and m.bias is not None:
                    nn.init.constant_(m.bias, 0)
            elif isinstance(m, nn.LayerNorm):
                nn.init.constant_(m.bias, 0)
                nn.init.constant_(m.weight, 1.0)

        pretrained = 'pretrained/xcit_small_12_cp16_dino.pth'
        print("Loading pretrained weights from checkpoint", pretrained)
        checkpoint = torch.load(pretrained, map_location='cpu')

        checkpoint_model = checkpoint['model']
        state_dict = self.state_dict()
        self.load_state_dict(checkpoint_model, strict=False)

from xcit.

frdnd avatar frdnd commented on July 26, 2024

This is a fix which works for checkpoints provided as local files, it fails however for models given by URL.

I think this is due internals of mmcv-fulls load_checkpoint handling. It succeeds with local checkpoints, since the internally called load_from_local returns a checkpoint, whereas URL triggers load_from_http which returns the state_dict directly and crashes.

Which version of mmcv-full did you use for your project, maybe this error is only present in the latest version I'm using (mmcv-full==1.3.7)?

from xcit.

cyrilzakka avatar cyrilzakka commented on July 26, 2024

Tried your fix but still getting an error where none of the weights are loaded from the pretrained model. Will try load_checkpoint() from here and report back.

from xcit.

frdnd avatar frdnd commented on July 26, 2024

Did you succeed? The fix also uses load_checkpoint via the init-weights (see here), which loads the backbone weights in the xcit-model. The weights for the neck included in the checkpoint aren't loaded with this approach, but this was better than nothing and helped with transfer learning.

from xcit.

cyrilzakka avatar cyrilzakka commented on July 26, 2024

No luck! I get this:
missing keys in source state_dict:
patch_embed.proj.0.0.weight, patch_embed.proj.0.1.weight, patch_embed.proj.0.1.bias, patch_embed.proj.0.1.running_mean, patch_embed.proj.0.1.running_var, patch_embed.proj.2.0.weight, patch_embed.proj.2.1.weight, patch_embed.proj.2.1.bias, patch_embed.proj.2.1.running_mean, patch_embed.proj.2.1.running_var, patch_embed.proj.4.0.weight, patch_embed.proj.4.1.weight, patch_embed.proj.4.1.bias, patch_embed.proj.4.1.running_mean, patch_embed.proj.4.1.running_var, patch_embed.proj.6.0.weight, patch_embed.proj.6.1.weight, patch_embed.proj.6.1.bias, patch_embed.proj.6.1.running_mean, patch_embed.proj.6.1.running_var, blocks.0.gamma1, blocks.0.gamma2, blocks.0.gamma3, blocks.0.norm1.weight, blocks.0.norm1.bias, blocks.0.attn.temperature, blocks.0.attn.qkv.weight, blocks.0.attn.qkv.bias, blocks.0.attn.proj.weight, blocks.0.attn.proj.bias, blocks.0.norm2.weight, blocks.0.norm2.bias, blocks.0.mlp.fc1.weight, blocks.0.mlp.fc1.bias, blocks.0.mlp.fc2.weight, blocks.0.mlp.fc2.bias, blocks.0.norm3.weight, blocks.0.norm3.bias, blocks.0.local_mp.conv1.weight, blocks.0.local_mp.conv1.bias, blocks.0.local_mp.bn.weight, blocks.0.local_mp.bn.bias, blocks.0.local_mp.bn.running_mean, blocks.0.local_mp.bn.running_var, blocks.0.local_mp.conv2.weight, blocks.0.local_mp.conv2.bias, blocks.1.gamma1, blocks.1.gamma2, blocks.1.gamma3, blocks.1.norm1.weight, blocks.1.norm1.bias, blocks.1.attn.temperature, blocks.1.attn.qkv.weight, blocks.1.attn.qkv.bias, blocks.1.attn.proj.weight, blocks.1.attn.proj.bias, blocks.1.norm2.weight, blocks.1.norm2.bias, blocks.1.mlp.fc1.weight, blocks.1.mlp.fc1.bias, blocks.1.mlp.fc2.weight, blocks.1.mlp.fc2.bias, blocks.1.norm3.weight, blocks.1.norm3.bias, blocks.1.local_mp.conv1.weight, blocks.1.local_mp.conv1.bias, blocks.1.local_mp.bn.weight, blocks.1.local_mp.bn.bias, blocks.1.local_mp.bn.running_mean, blocks.1.local_mp.bn.running_var, blocks.1.local_mp.conv2.weight, blocks.1.local_mp.conv2.bias, blocks.2.gamma1, blocks.2.gamma2, blocks.2.gamma3, blocks.2.norm1.weight, blocks.2.norm1.bias, blocks.2.attn.temperature, blocks.2.attn.qkv.weight, blocks.2.attn.qkv.bias, blocks.2.attn.proj.weight, blocks.2.attn.proj.bias, blocks.2.norm2.weight, blocks.2.norm2.bias, blocks.2.mlp.fc1.weight, blocks.2.mlp.fc1.bias, blocks.2.mlp.fc2.weight, blocks.2.mlp.fc2.bias, blocks.2.norm3.weight, blocks.2.norm3.bias, blocks.2.local_mp.conv1.weight, blocks.2.local_mp.conv1.bias, blocks.2.local_mp.bn.weight, blocks.2.local_mp.bn.bias, blocks.2.local_mp.bn.running_mean, blocks.2.local_mp.bn.running_var, blocks.2.local_mp.conv2.weight, blocks.2.local_mp.conv2.bias, blocks.3.gamma1, blocks.3.gamma2, blocks.3.gamma3, blocks.3.norm1.weight, blocks.3.norm1.bias, blocks.3.attn.temperature, blocks.3.attn.qkv.weight, blocks.3.attn.qkv.bias, blocks.3.attn.proj.weight, blocks.3.attn.proj.bias, blocks.3.norm2.weight, blocks.3.norm2.bias, blocks.3.mlp.fc1.weight, blocks.3.mlp.fc1.bias, blocks.3.mlp.fc2.weight, blocks.3.mlp.fc2.bias, blocks.3.norm3.weight, blocks.3.norm3.bias, blocks.3.local_mp.conv1.weight, blocks.3.local_mp.conv1.bias, blocks.3.local_mp.bn.weight, blocks.3.local_mp.bn.bias, blocks.3.local_mp.bn.running_mean, blocks.3.local_mp.bn.running_var, blocks.3.local_mp.conv2.weight, blocks.3.local_mp.conv2.bias, blocks.4.gamma1, blocks.4.gamma2, blocks.4.gamma3, blocks.4.norm1.weight, blocks.4.norm1.bias, blocks.4.attn.temperature, blocks.4.attn.qkv.weight, blocks.4.attn.qkv.bias, blocks.4.attn.proj.weight, blocks.4.attn.proj.bias, blocks.4.norm2.weight, blocks.4.norm2.bias, blocks.4.mlp.fc1.weight, blocks.4.mlp.fc1.bias, blocks.4.mlp.fc2.weight, blocks.4.mlp.fc2.bias, blocks.4.norm3.weight, blocks.4.norm3.bias, blocks.4.local_mp.conv1.weight, blocks.4.local_mp.conv1.bias, blocks.4.local_mp.bn.weight, blocks.4.local_mp.bn.bias, blocks.4.local_mp.bn.running_mean, blocks.4.local_mp.bn.running_var, blocks.4.local_mp.conv2.weight, blocks.4.local_mp.conv2.bias, blocks.5.gamma1, blocks.5.gamma2, blocks.5.gamma3, blocks.5.norm1.weight, blocks.5.norm1.bias, blocks.5.attn.temperature, blocks.5.attn.qkv.weight, blocks.5.attn.qkv.bias, blocks.5.attn.proj.weight, blocks.5.attn.proj.bias, blocks.5.norm2.weight, blocks.5.norm2.bias, blocks.5.mlp.fc1.weight, blocks.5.mlp.fc1.bias, blocks.5.mlp.fc2.weight, blocks.5.mlp.fc2.bias, blocks.5.norm3.weight, blocks.5.norm3.bias, blocks.5.local_mp.conv1.weight, blocks.5.local_mp.conv1.bias, blocks.5.local_mp.bn.weight, blocks.5.local_mp.bn.bias, blocks.5.local_mp.bn.running_mean, blocks.5.local_mp.bn.running_var, blocks.5.local_mp.conv2.weight, blocks.5.local_mp.conv2.bias, blocks.6.gamma1, blocks.6.gamma2, blocks.6.gamma3, blocks.6.norm1.weight, blocks.6.norm1.bias, blocks.6.attn.temperature, blocks.6.attn.qkv.weight, blocks.6.attn.qkv.bias, blocks.6.attn.proj.weight, blocks.6.attn.proj.bias, blocks.6.norm2.weight, blocks.6.norm2.bias, blocks.6.mlp.fc1.weight, blocks.6.mlp.fc1.bias, blocks.6.mlp.fc2.weight, blocks.6.mlp.fc2.bias, blocks.6.norm3.weight, blocks.6.norm3.bias, blocks.6.local_mp.conv1.weight, blocks.6.local_mp.conv1.bias, blocks.6.local_mp.bn.weight, blocks.6.local_mp.bn.bias, blocks.6.local_mp.bn.running_mean, blocks.6.local_mp.bn.running_var, blocks.6.local_mp.conv2.weight, blocks.6.local_mp.conv2.bias, blocks.7.gamma1, blocks.7.gamma2, blocks.7.gamma3, blocks.7.norm1.weight, blocks.7.norm1.bias, blocks.7.attn.temperature, blocks.7.attn.qkv.weight, blocks.7.attn.qkv.bias, blocks.7.attn.proj.weight, blocks.7.attn.proj.bias, blocks.7.norm2.weight, blocks.7.norm2.bias, blocks.7.mlp.fc1.weight, blocks.7.mlp.fc1.bias, blocks.7.mlp.fc2.weight, blocks.7.mlp.fc2.bias, blocks.7.norm3.weight, blocks.7.norm3.bias, blocks.7.local_mp.conv1.weight, blocks.7.local_mp.conv1.bias, blocks.7.local_mp.bn.weight, blocks.7.local_mp.bn.bias, blocks.7.local_mp.bn.running_mean, blocks.7.local_mp.bn.running_var, blocks.7.local_mp.conv2.weight, blocks.7.local_mp.conv2.bias, blocks.8.gamma1, blocks.8.gamma2, blocks.8.gamma3, blocks.8.norm1.weight, blocks.8.norm1.bias, blocks.8.attn.temperature, blocks.8.attn.qkv.weight, blocks.8.attn.qkv.bias, blocks.8.attn.proj.weight, blocks.8.attn.proj.bias, blocks.8.norm2.weight, blocks.8.norm2.bias, blocks.8.mlp.fc1.weight, blocks.8.mlp.fc1.bias, blocks.8.mlp.fc2.weight, blocks.8.mlp.fc2.bias, blocks.8.norm3.weight, blocks.8.norm3.bias, blocks.8.local_mp.conv1.weight, blocks.8.local_mp.conv1.bias, blocks.8.local_mp.bn.weight, blocks.8.local_mp.bn.bias, blocks.8.local_mp.bn.running_mean, blocks.8.local_mp.bn.running_var, blocks.8.local_mp.conv2.weight, blocks.8.local_mp.conv2.bias, blocks.9.gamma1, blocks.9.gamma2, blocks.9.gamma3, blocks.9.norm1.weight, blocks.9.norm1.bias, blocks.9.attn.temperature, blocks.9.attn.qkv.weight, blocks.9.attn.qkv.bias, blocks.9.attn.proj.weight, blocks.9.attn.proj.bias, blocks.9.norm2.weight, blocks.9.norm2.bias, blocks.9.mlp.fc1.weight, blocks.9.mlp.fc1.bias, blocks.9.mlp.fc2.weight, blocks.9.mlp.fc2.bias, blocks.9.norm3.weight, blocks.9.norm3.bias, blocks.9.local_mp.conv1.weight, blocks.9.local_mp.conv1.bias, blocks.9.local_mp.bn.weight, blocks.9.local_mp.bn.bias, blocks.9.local_mp.bn.running_mean, blocks.9.local_mp.bn.running_var, blocks.9.local_mp.conv2.weight, blocks.9.local_mp.conv2.bias, blocks.10.gamma1, blocks.10.gamma2, blocks.10.gamma3, blocks.10.norm1.weight, blocks.10.norm1.bias, blocks.10.attn.temperature, blocks.10.attn.qkv.weight, blocks.10.attn.qkv.bias, blocks.10.attn.proj.weight, blocks.10.attn.proj.bias, blocks.10.norm2.weight, blocks.10.norm2.bias, blocks.10.mlp.fc1.weight, blocks.10.mlp.fc1.bias, blocks.10.mlp.fc2.weight, blocks.10.mlp.fc2.bias, blocks.10.norm3.weight, blocks.10.norm3.bias, blocks.10.local_mp.conv1.weight, blocks.10.local_mp.conv1.bias, blocks.10.local_mp.bn.weight, blocks.10.local_mp.bn.bias, blocks.10.local_mp.bn.running_mean, blocks.10.local_mp.bn.running_var, blocks.10.local_mp.conv2.weight, blocks.10.local_mp.conv2.bias, blocks.11.gamma1, blocks.11.gamma2, blocks.11.gamma3, blocks.11.norm1.weight, blocks.11.norm1.bias, blocks.11.attn.temperature, blocks.11.attn.qkv.weight, blocks.11.attn.qkv.bias, blocks.11.attn.proj.weight, blocks.11.attn.proj.bias, blocks.11.norm2.weight, blocks.11.norm2.bias, blocks.11.mlp.fc1.weight, blocks.11.mlp.fc1.bias, blocks.11.mlp.fc2.weight, blocks.11.mlp.fc2.bias, blocks.11.norm3.weight, blocks.11.norm3.bias, blocks.11.local_mp.conv1.weight, blocks.11.local_mp.conv1.bias, blocks.11.local_mp.bn.weight, blocks.11.local_mp.bn.bias, blocks.11.local_mp.bn.running_mean, blocks.11.local_mp.bn.running_var, blocks.11.local_mp.conv2.weight, blocks.11.local_mp.conv2.bias, pos_embeder.token_projection.weight, pos_embeder.token_projection.bias, fpn1.0.weight, fpn1.0.bias, fpn1.1.weight, fpn1.1.bias, fpn1.1.running_mean, fpn1.1.running_var, fpn1.3.weight, fpn1.3.bias, fpn2.0.weight, fpn2.0.bias

from xcit.

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