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Missing key(s) in state_dict: "forward_resblocks.main.2.0.conv1.act_scale_pre", "forward_resblocks.main.2.0.conv1.act_scale", "forward_resblocks.main.2.0.conv2.act_scale", ....................
please,what's the reason?
Conv2D_WN_Pre contains
'self.act_scale_pre = nn.Parameter(torch.ones(in_channels).view(1, -1, 1, 1), requires_grad=True)
self.act_scale = nn.Parameter(torch.ones(out_channels).view(1, -1, 1, 1), requires_grad=True)',
does it need to be defined when training a model without pruning?
The text was updated successfully, but these errors were encountered:
Missing key(s) in state_dict: "forward_resblocks.main.2.0.conv1.act_scale_pre", "forward_resblocks.main.2.0.conv1.act_scale", "forward_resblocks.main.2.0.conv2.act_scale", ....................
please,what's the reason?
Conv2D_WN_Pre contains
'self.act_scale_pre = nn.Parameter(torch.ones(in_channels).view(1, -1, 1, 1), requires_grad=True)
self.act_scale = nn.Parameter(torch.ones(out_channels).view(1, -1, 1, 1), requires_grad=True)',
does it need to be defined when training a model without pruning?
The text was updated successfully, but these errors were encountered: