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Hi;
I got the fooling error when trying to load the pretrained model: net.load_state_dict(torch.load( '/tmp/SRFormerLight_SRx2_DIV2K.pth'))
net.load_state_dict(torch.load( '/tmp/SRFormerLight_SRx2_DIV2K.pth'))
RuntimeError Traceback (most recent call last) Input In [39], in <cell line: 1>() ----> 1 net.load_state_dict(torch.load( '/tmp/SRFormerLight_SRx2_DIV2K.pth'))# '/tmp/SRFormer_SRx2_DF2K.pth')) 2 #net= torch.load('/tmp/SRFormer_SRx2_DF2K.pth') 4 img_size= 48 File /home/software/python/AnacondaPython3.9/lib/python3.9/site-packages/torch/nn/modules/module.py:1497, in Module.load_state_dict(self, state_dict, strict) 1492 error_msgs.insert( 1493 0, 'Missing key(s) in state_dict: {}. '.format( 1494 ', '.join('"{}"'.format(k) for k in missing_keys))) 1496 if len(error_msgs) > 0: -> 1497 raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( 1498 self.__class__.__name__, "\n\t".join(error_msgs))) 1499 return _IncompatibleKeys(missing_keys, unexpected_keys) RuntimeError: Error(s) in loading state_dict for SRFormer: Missing key(s) in state_dict: "conv_first.weight", "conv_first.bias", "patch_embed.norm.weight", "patch_embed.norm.bias", "layers.0.residual_group.blocks.0.norm1.weight", "layers.0.residual_group.blocks.0.norm1.bias", "layers.0.residual_group.blocks.0.attn.relative_position_bias_table", "layers.0.residual_group.blocks.0.attn.aligned_relative_position_index", "layers.0.residual_group.blocks.0.attn.kv.weight", "layers.0.residual_group.blocks.0.attn.kv.bias", "layers.0.residual_group.blocks.0.attn.q.weight", "layers.0.residual_group.blocks.0.attn.q.bias", "layers.0.residual_group.blocks.0.attn.proj.weight", 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"layers.5.residual_group.blocks.5.attn.kv.weight", "layers.5.residual_group.blocks.5.attn.kv.bias", "layers.5.residual_group.blocks.5.attn.q.weight", "layers.5.residual_group.blocks.5.attn.q.bias", "layers.5.residual_group.blocks.5.attn.proj.weight", "layers.5.residual_group.blocks.5.attn.proj.bias", "layers.5.residual_group.blocks.5.norm2.weight", "layers.5.residual_group.blocks.5.norm2.bias", "layers.5.residual_group.blocks.5.mlp.fc1.weight", "layers.5.residual_group.blocks.5.mlp.fc1.bias", "layers.5.residual_group.blocks.5.mlp.dwconv.depthwise_conv.0.weight", "layers.5.residual_group.blocks.5.mlp.dwconv.depthwise_conv.0.bias", "layers.5.residual_group.blocks.5.mlp.fc2.weight", "layers.5.residual_group.blocks.5.mlp.fc2.bias", "layers.5.conv.weight", "layers.5.conv.bias", "norm.weight", "norm.bias", "conv_after_body.weight", "conv_after_body.bias", "conv_before_upsample.0.weight", "conv_before_upsample.0.bias", "upsample.0.weight", "upsample.0.bias", "conv_last.weight", "conv_last.bias". Unexpected key(s) in state_dict: "params".
The text was updated successfully, but these errors were encountered:
Sorry for later reply, may be you can do that:
net.load_state_dict(torch.load( '/tmp/SRFormerLight_SRx2_DIV2K.pth')['params'])
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Hi;
I got the fooling error when trying to load the pretrained model:
net.load_state_dict(torch.load( '/tmp/SRFormerLight_SRx2_DIV2K.pth'))
The text was updated successfully, but these errors were encountered: