LSNetModelLoader
Error(s) in loading state_dict for LSNetArtist:
size mismatch for blocks4.3.mixer.m.attention_biases: copying a param with shape torch.Size([6, 49]) from checkpoint, the shape in current model is torch.Size([6, 16]).
size mismatch for blocks4.3.mixer.m.attention_bias_idxs: copying a param with shape torch.Size([49, 49]) from checkpoint, the shape in current model is torch.Size([16, 16]).
size mismatch for blocks4.5.mixer.m.attention_biases: copying a param with shape torch.Size([6, 49]) from checkpoint, the shape in current model is torch.Size([6, 16]).
size mismatch for blocks4.5.mixer.m.attention_bias_idxs: copying a param with shape torch.Size([49, 49]) from checkpoint, the shape in current model is torch.Size([16, 16]).
size mismatch for blocks4.7.mixer.m.attention_biases: copying a param with shape torch.Size([6, 49]) from checkpoint, the shape in current model is torch.Size([6, 16]).
size mismatch for blocks4.7.mixer.m.attention_bias_idxs: copying a param with shape torch.Size([49, 49]) from checkpoint, the shape in current model is torch.Size([16, 16]).
size mismatch for blocks4.9.mixer.m.attention_biases: copying a param with shape torch.Size([6, 49]) from checkpoint, the shape in current model is torch.Size([6, 16]).
size mismatch for blocks4.9.mixer.m.attention_bias_idxs: copying a param with shape torch.Size([49, 49]) from checkpoint, the shape in current model is torch.Size([16, 16]).
size mismatch for blocks4.11.mixer.m.attention_biases: copying a param with shape torch.Size([6, 49]) from checkpoint, the shape in current model is torch.Size([6, 16]).
size mismatch for blocks4.11.mixer.m.attention_bias_idxs: copying a param with shape torch.Size([49, 49]) from checkpoint, the shape in current model is torch.Size([16, 16]).
size mismatch for blocks4.13.mixer.m.attention_biases: copying a param with shape torch.Size([6, 49]) from checkpoint, the shape in current model is torch.Size([6, 16]).
size mismatch for blocks4.13.mixer.m.attention_bias_idxs: copying a param with shape torch.Size([49, 49]) from checkpoint, the shape in current model is torch.Size([16, 16]).
size mismatch for blocks4.15.mixer.m.attention_biases: copying a param with shape torch.Size([6, 49]) from checkpoint, the shape in current model is torch.Size([6, 16]).
size mismatch for blocks4.15.mixer.m.attention_bias_idxs: copying a param with shape torch.Size([49, 49]) from checkpoint, the shape in current model is torch.Size([16, 16]).
size mismatch for blocks4.17.mixer.m.attention_biases: copying a param with shape torch.Size([6, 49]) from checkpoint, the shape in current model is torch.Size([6, 16]).
size mismatch for blocks4.17.mixer.m.attention_bias_idxs: copying a param with shape torch.Size([49, 49]) from checkpoint, the shape in current model is torch.Size([16, 16]).
size mismatch for blocks4.19.mixer.m.attention_biases: copying a param with shape torch.Size([6, 49]) from checkpoint, the shape in current model is torch.Size([6, 16]).
size mismatch for blocks4.19.mixer.m.attention_bias_idxs: copying a param with shape torch.Size([49, 49]) from checkpoint, the shape in current model is torch.Size([16, 16]).
size mismatch for blocks4.21.mixer.m.attention_biases: copying a param with shape torch.Size([6, 49]) from checkpoint, the shape in current model is torch.Size([6, 16]).
size mismatch for blocks4.21.mixer.m.attention_bias_idxs: copying a param with shape torch.Size([49, 49]) from checkpoint, the shape in current model is torch.Size([16, 16]).
LSNetModelLoader
Error(s) in loading state_dict for LSNetArtist:
size mismatch for blocks4.3.mixer.m.attention_biases: copying a param with shape torch.Size([6, 49]) from checkpoint, the shape in current model is torch.Size([6, 16]).
size mismatch for blocks4.3.mixer.m.attention_bias_idxs: copying a param with shape torch.Size([49, 49]) from checkpoint, the shape in current model is torch.Size([16, 16]).
size mismatch for blocks4.5.mixer.m.attention_biases: copying a param with shape torch.Size([6, 49]) from checkpoint, the shape in current model is torch.Size([6, 16]).
size mismatch for blocks4.5.mixer.m.attention_bias_idxs: copying a param with shape torch.Size([49, 49]) from checkpoint, the shape in current model is torch.Size([16, 16]).
size mismatch for blocks4.7.mixer.m.attention_biases: copying a param with shape torch.Size([6, 49]) from checkpoint, the shape in current model is torch.Size([6, 16]).
size mismatch for blocks4.7.mixer.m.attention_bias_idxs: copying a param with shape torch.Size([49, 49]) from checkpoint, the shape in current model is torch.Size([16, 16]).
size mismatch for blocks4.9.mixer.m.attention_biases: copying a param with shape torch.Size([6, 49]) from checkpoint, the shape in current model is torch.Size([6, 16]).
size mismatch for blocks4.9.mixer.m.attention_bias_idxs: copying a param with shape torch.Size([49, 49]) from checkpoint, the shape in current model is torch.Size([16, 16]).
size mismatch for blocks4.11.mixer.m.attention_biases: copying a param with shape torch.Size([6, 49]) from checkpoint, the shape in current model is torch.Size([6, 16]).
size mismatch for blocks4.11.mixer.m.attention_bias_idxs: copying a param with shape torch.Size([49, 49]) from checkpoint, the shape in current model is torch.Size([16, 16]).
size mismatch for blocks4.13.mixer.m.attention_biases: copying a param with shape torch.Size([6, 49]) from checkpoint, the shape in current model is torch.Size([6, 16]).
size mismatch for blocks4.13.mixer.m.attention_bias_idxs: copying a param with shape torch.Size([49, 49]) from checkpoint, the shape in current model is torch.Size([16, 16]).
size mismatch for blocks4.15.mixer.m.attention_biases: copying a param with shape torch.Size([6, 49]) from checkpoint, the shape in current model is torch.Size([6, 16]).
size mismatch for blocks4.15.mixer.m.attention_bias_idxs: copying a param with shape torch.Size([49, 49]) from checkpoint, the shape in current model is torch.Size([16, 16]).
size mismatch for blocks4.17.mixer.m.attention_biases: copying a param with shape torch.Size([6, 49]) from checkpoint, the shape in current model is torch.Size([6, 16]).
size mismatch for blocks4.17.mixer.m.attention_bias_idxs: copying a param with shape torch.Size([49, 49]) from checkpoint, the shape in current model is torch.Size([16, 16]).
size mismatch for blocks4.19.mixer.m.attention_biases: copying a param with shape torch.Size([6, 49]) from checkpoint, the shape in current model is torch.Size([6, 16]).
size mismatch for blocks4.19.mixer.m.attention_bias_idxs: copying a param with shape torch.Size([49, 49]) from checkpoint, the shape in current model is torch.Size([16, 16]).
size mismatch for blocks4.21.mixer.m.attention_biases: copying a param with shape torch.Size([6, 49]) from checkpoint, the shape in current model is torch.Size([6, 16]).
size mismatch for blocks4.21.mixer.m.attention_bias_idxs: copying a param with shape torch.Size([49, 49]) from checkpoint, the shape in current model is torch.Size([16, 16]).