search

Yuichi-Sasaki / fasion_to_image

Diffusersを使って、平置き画像を着衣画像に変換
0 stars 0 forks source link

CLIP VITのパラメータが読み込まれていない #2

Closed Yuichi-Sasaki closed 1 year ago

Yuichi-Sasaki commented 1 year ago

CLIP VITのパラメータが読み込まれない問題の解決

Yuichi-Sasaki commented 1 year ago

dgx3で新規にconda環境を作って、pip でrequirementsをインストールした後に実行したが、同じ結果。

Yuichi-Sasaki commented 1 year ago 
Some weights of the model checkpoint at openai/clip-vit-large-patch14 were not used when initializing CLIPVisionModel: ['text_model.encoder.layers.10.layer_norm2.weight', 'text_model.encoder.layers.3.mlp.fc2.weight', 'text_model.encoder.layers.7.self_attn.out_proj.bias', 'text_model.encoder.layers.4.self_attn.v_proj.bias', 'text_model.encoder.layers.9.self_attn.k_proj.bias', 'text_model.encoder.layers.0.self_attn.v_proj.weight', 'text_model.encoder.layers.1.mlp.fc2.bias', 'text_model.encoder.layers.5.mlp.fc2.weight', 'text_model.encoder.layers.10.layer_norm2.bias', 'text_model.encoder.layers.3.self_attn.q_proj.bias', 'text_model.embeddings.token_embedding.weight', 'text_model.encoder.layers.10.mlp.fc1.bias', 'text_model.encoder.layers.2.mlp.fc1.bias', 'text_model.encoder.layers.9.self_attn.v_proj.weight', 'text_model.encoder.layers.8.self_attn.q_proj.weight', 'text_model.encoder.layers.11.self_attn.k_proj.bias', 'text_model.encoder.layers.11.self_attn.out_proj.bias', 'text_model.encoder.layers.0.mlp.fc2.bias', 'text_model.encoder.layers.2.self_attn.q_proj.bias', 'text_model.encoder.layers.6.layer_norm2.weight', 'text_model.encoder.layers.8.mlp.fc1.bias', 'text_model.encoder.layers.3.mlp.fc2.bias', 'text_model.encoder.layers.11.mlp.fc2.weight', 'text_model.encoder.layers.8.mlp.fc2.weight', 'text_model.encoder.layers.6.self_attn.k_proj.weight', 'text_model.encoder.layers.6.self_attn.q_proj.bias', 'text_model.encoder.layers.5.self_attn.v_proj.weight', 'text_model.encoder.layers.11.self_attn.out_proj.weight', 'text_model.encoder.layers.0.self_attn.k_proj.bias', 'text_model.encoder.layers.10.self_attn.k_proj.weight', 'text_model.encoder.layers.11.self_attn.v_proj.weight', 'text_model.encoder.layers.6.mlp.fc2.bias', 'text_model.encoder.layers.6.self_attn.k_proj.bias', 'text_model.encoder.layers.5.layer_norm2.weight', 'text_model.encoder.layers.4.layer_norm2.bias', 'text_model.encoder.layers.4.self_attn.v_proj.weight', 'text_model.encoder.layers.9.self_attn.out_proj.bias', 'text_model.encoder.layers.7.layer_norm2.weight', 'text_model.encoder.layers.0.layer_norm2.weight', 'text_model.encoder.layers.4.mlp.fc1.weight', 'text_model.encoder.layers.1.layer_norm2.weight', 'text_model.encoder.layers.10.self_attn.out_proj.weight', 'text_model.encoder.layers.4.layer_norm2.weight', 'text_model.encoder.layers.1.self_attn.out_proj.bias', 'text_model.encoder.layers.9.mlp.fc2.bias', 'text_model.encoder.layers.3.mlp.fc1.weight', 'text_model.encoder.layers.7.mlp.fc1.weight', 'text_model.encoder.layers.3.self_attn.k_proj.bias', 'logit_scale', 'text_model.encoder.layers.9.mlp.fc2.weight', 'text_model.encoder.layers.2.self_attn.k_proj.bias', 'text_model.encoder.layers.5.self_attn.k_proj.weight', 'text_model.encoder.layers.4.mlp.fc2.bias', 'text_model.encoder.layers.7.layer_norm1.bias', 'text_model.encoder.layers.11.layer_norm1.bias', 'text_model.encoder.layers.1.self_attn.v_proj.bias', 'text_model.encoder.layers.6.self_attn.v_proj.weight', 'text_model.encoder.layers.10.self_attn.v_proj.bias', 'text_model.encoder.layers.3.mlp.fc1.bias', 'text_model.encoder.layers.2.self_attn.k_proj.weight', 'text_model.encoder.layers.6.self_attn.out_proj.bias', 'text_model.encoder.layers.8.mlp.fc2.bias', 'text_model.encoder.layers.9.self_attn.v_proj.bias', 'text_model.encoder.layers.10.layer_norm1.bias', 'text_model.encoder.layers.4.layer_norm1.bias', 'text_model.encoder.layers.3.self_attn.out_proj.bias', 'text_model.encoder.layers.4.mlp.fc2.weight', 'text_model.encoder.layers.5.mlp.fc1.weight', 'text_model.encoder.layers.7.mlp.fc2.weight', 'text_model.encoder.layers.8.layer_norm1.bias', 'text_model.encoder.layers.5.layer_norm1.bias', 'text_model.encoder.layers.3.layer_norm1.weight', 'text_model.encoder.layers.9.layer_norm1.weight', 'text_model.encoder.layers.0.layer_norm2.bias', 'text_model.encoder.layers.0.self_attn.v_proj.bias', 'text_model.encoder.layers.11.mlp.fc1.bias', 'text_model.encoder.layers.8.self_attn.k_proj.bias', 'text_model.encoder.layers.11.self_attn.v_proj.bias', 'text_model.encoder.layers.2.layer_norm2.bias', 'text_model.encoder.layers.3.self_attn.v_proj.bias', 'text_model.encoder.layers.8.self_attn.v_proj.weight', 'text_model.encoder.layers.1.mlp.fc2.weight', 'text_model.encoder.layers.2.mlp.fc1.weight', 'text_model.encoder.layers.8.layer_norm2.weight', 'text_model.encoder.layers.8.self_attn.out_proj.weight', 'text_model.encoder.layers.3.self_attn.k_proj.weight', 'text_model.embeddings.position_ids', 'text_model.encoder.layers.2.layer_norm2.weight', 'text_model.encoder.layers.5.self_attn.q_proj.bias', 'text_model.encoder.layers.1.mlp.fc1.weight', 'text_model.encoder.layers.8.self_attn.v_proj.bias', 'text_model.encoder.layers.2.mlp.fc2.weight', 'text_model.encoder.layers.4.self_attn.out_proj.weight', 'text_model.encoder.layers.5.self_attn.v_proj.bias', 'text_model.encoder.layers.8.mlp.fc1.weight', 'text_model.encoder.layers.0.self_attn.k_proj.weight', 'text_model.encoder.layers.9.self_attn.k_proj.weight', 'text_model.encoder.layers.0.self_attn.q_proj.bias', 'text_model.encoder.layers.10.self_attn.out_proj.bias', 'text_model.encoder.layers.11.self_attn.q_proj.bias', 'text_model.encoder.layers.6.mlp.fc2.weight', 'text_model.encoder.layers.5.mlp.fc2.bias', 'text_model.encoder.layers.0.mlp.fc1.weight', 'text_model.encoder.layers.9.mlp.fc1.weight', 'text_model.encoder.layers.1.layer_norm1.bias', 'text_model.encoder.layers.5.self_attn.out_proj.bias', 'text_model.encoder.layers.2.mlp.fc2.bias', 'text_model.encoder.layers.7.self_attn.k_proj.bias', 'text_model.encoder.layers.4.layer_norm1.weight', 'text_model.final_layer_norm.weight', 'text_model.encoder.layers.10.self_attn.v_proj.weight', 'text_model.encoder.layers.2.self_attn.out_proj.weight', 'text_model.encoder.layers.11.mlp.fc1.weight', 'text_model.encoder.layers.7.self_attn.v_proj.bias', 'text_model.encoder.layers.3.layer_norm1.bias', 'text_model.encoder.layers.9.layer_norm2.bias', 'text_model.encoder.layers.1.self_attn.q_proj.bias', 'text_model.encoder.layers.9.mlp.fc1.bias', 'text_model.encoder.layers.3.self_attn.v_proj.weight', 'text_model.encoder.layers.10.self_attn.q_proj.weight', 'text_model.encoder.layers.8.layer_norm2.bias', 'text_model.encoder.layers.1.mlp.fc1.bias', 'text_model.encoder.layers.3.self_attn.out_proj.weight', 'text_model.encoder.layers.1.self_attn.k_proj.weight', 'text_model.final_layer_norm.bias', 'text_model.encoder.layers.4.self_attn.out_proj.bias', 'text_model.encoder.layers.0.self_attn.out_proj.bias', 'text_model.encoder.layers.8.layer_norm1.weight', 'text_model.encoder.layers.6.layer_norm1.weight', 'text_model.encoder.layers.6.mlp.fc1.bias', 'text_model.encoder.layers.10.self_attn.k_proj.bias', 'text_model.encoder.layers.2.layer_norm1.weight', 'text_model.encoder.layers.7.self_attn.q_proj.weight', 'text_model.encoder.layers.4.mlp.fc1.bias', 'text_model.encoder.layers.0.mlp.fc1.bias', 'text_model.encoder.layers.0.layer_norm1.weight', 'text_model.encoder.layers.7.self_attn.out_proj.weight', 'text_model.encoder.layers.7.mlp.fc2.bias', 'text_model.encoder.layers.1.self_attn.q_proj.weight', 'text_model.encoder.layers.1.self_attn.v_proj.weight', 'text_model.encoder.layers.3.layer_norm2.bias', 'text_model.encoder.layers.10.self_attn.q_proj.bias', 'text_projection.weight', 'text_model.encoder.layers.3.layer_norm2.weight', 'text_model.encoder.layers.6.self_attn.q_proj.weight', 'text_model.encoder.layers.11.mlp.fc2.bias', 'text_model.encoder.layers.7.layer_norm2.bias', 'text_model.encoder.layers.2.self_attn.out_proj.bias', 'text_model.embeddings.position_embedding.weight', 'text_model.encoder.layers.4.self_attn.q_proj.weight', 'text_model.encoder.layers.5.self_attn.k_proj.bias', 'text_model.encoder.layers.1.self_attn.out_proj.weight', 'text_model.encoder.layers.11.self_attn.q_proj.weight', 'text_model.encoder.layers.6.self_attn.v_proj.bias', 'text_model.encoder.layers.9.self_attn.out_proj.weight', 'visual_projection.weight', 'text_model.encoder.layers.8.self_attn.out_proj.bias', 'text_model.encoder.layers.0.mlp.fc2.weight', 'text_model.encoder.layers.1.layer_norm2.bias', 'text_model.encoder.layers.5.mlp.fc1.bias', 'text_model.encoder.layers.9.layer_norm1.bias', 'text_model.encoder.layers.9.layer_norm2.weight', 'text_model.encoder.layers.6.layer_norm1.bias', 'text_model.encoder.layers.11.self_attn.k_proj.weight', 'text_model.encoder.layers.6.mlp.fc1.weight', 'text_model.encoder.layers.1.self_attn.k_proj.bias', 'text_model.encoder.layers.4.self_attn.q_proj.bias', 'text_model.encoder.layers.0.layer_norm1.bias', 'text_model.encoder.layers.3.self_attn.q_proj.weight', 'text_model.encoder.layers.5.self_attn.out_proj.weight', 'text_model.encoder.layers.7.self_attn.q_proj.bias', 'text_model.encoder.layers.9.self_attn.q_proj.bias', 'text_model.encoder.layers.10.layer_norm1.weight', 'text_model.encoder.layers.5.layer_norm1.weight', 'text_model.encoder.layers.5.layer_norm2.bias', 'text_model.encoder.layers.1.layer_norm1.weight', 'text_model.encoder.layers.7.mlp.fc1.bias', 'text_model.encoder.layers.2.layer_norm1.bias', 'text_model.encoder.layers.11.layer_norm1.weight', 'text_model.encoder.layers.9.self_attn.q_proj.weight', 'text_model.encoder.layers.2.self_attn.q_proj.weight', 'text_model.encoder.layers.7.self_attn.v_proj.weight', 'text_model.encoder.layers.8.self_attn.k_proj.weight', 'text_model.encoder.layers.0.self_attn.out_proj.weight', 'text_model.encoder.layers.7.layer_norm1.weight', 'text_model.encoder.layers.2.self_attn.v_proj.bias', 'text_model.encoder.layers.6.layer_norm2.bias', 'text_model.encoder.layers.10.mlp.fc2.bias', 'text_model.encoder.layers.0.self_attn.q_proj.weight', 'text_model.encoder.layers.11.layer_norm2.weight', 'text_model.encoder.layers.7.self_attn.k_proj.weight', 'text_model.encoder.layers.6.self_attn.out_proj.weight', 'text_model.encoder.layers.5.self_attn.q_proj.weight', 'text_model.encoder.layers.4.self_attn.k_proj.weight', 'text_model.encoder.layers.10.mlp.fc2.weight', 'text_model.encoder.layers.10.mlp.fc1.weight', 'text_model.encoder.layers.8.self_attn.q_proj.bias', 'text_model.encoder.layers.4.self_attn.k_proj.bias', 'text_model.encoder.layers.2.self_attn.v_proj.weight', 'text_model.encoder.layers.11.layer_norm2.bias']
- This IS expected if you are initializing CLIPVisionModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing CLIPVisionModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).

よく見ると、text encoderの方なので大丈夫。