Error during training

[saxobroko]

Global seed set to 23
Running on GPUs 0,
Loading model from model.ckpt
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.52 M params.
making attention of type 'vanilla' with 512 in_channels
Working with z of shape (1, 4, 64, 64) = 16384 dimensions.
making attention of type 'vanilla' with 512 in_channels
Downloading: 100% 961k/961k [00:00<00:00, 5.55MB/s]
Downloading: 100% 525k/525k [00:00<00:00, 3.50MB/s]
Downloading: 100% 389/389 [00:00<00:00, 277kB/s]
Downloading: 100% 905/905 [00:00<00:00, 651kB/s]
Downloading: 100% 4.52k/4.52k [00:00<00:00, 2.79MB/s]
Downloading: 100% 1.71G/1.71G [00:34<00:00, 49.3MB/s]
Some weights of the model checkpoint at openai/clip-vit-large-patch14 were not used when initializing CLIPTextModel: ['vision_model.encoder.layers.16.self_attn.q_proj.bias', 'vision_model.encoder.layers.5.self_attn.q_proj.bias', 'vision_model.encoder.layers.16.self_attn.v_proj.bias', 'vision_model.encoder.layers.18.self_attn.k_proj.bias', 'vision_model.encoder.layers.5.self_attn.out_proj.bias', 'vision_model.encoder.layers.19.mlp.fc2.bias', 'vision_model.encoder.layers.2.mlp.fc2.bias', 'vision_model.encoder.layers.15.mlp.fc1.bias', 'vision_model.encoder.layers.15.self_attn.v_proj.weight', 'vision_model.encoder.layers.22.self_attn.k_proj.weight', 'vision_model.encoder.layers.8.self_attn.k_proj.weight', 'vision_model.encoder.layers.7.self_attn.k_proj.weight', 'vision_model.encoder.layers.2.self_attn.q_proj.weight', 'vision_model.encoder.layers.12.layer_norm1.weight', 'vision_model.encoder.layers.10.self_attn.k_proj.weight', 'vision_model.encoder.layers.14.mlp.fc2.weight', 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'vision_model.encoder.layers.13.mlp.fc1.weight', 'vision_model.encoder.layers.22.self_attn.k_proj.bias', 'vision_model.encoder.layers.1.self_attn.v_proj.bias', 'vision_model.encoder.layers.0.layer_norm1.bias', 'vision_model.encoder.layers.22.self_attn.v_proj.weight', 'vision_model.encoder.layers.21.mlp.fc1.bias', 'vision_model.encoder.layers.2.self_attn.out_proj.bias', 'vision_model.encoder.layers.15.mlp.fc2.weight', 'vision_model.encoder.layers.19.self_attn.v_proj.weight', 'vision_model.encoder.layers.6.layer_norm1.bias']
- This IS expected if you are initializing CLIPTextModel 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 CLIPTextModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
^C

After this it exits

[toonpeters]

it is not an error, you just have to wait and not press ctr+C to end the process

[saxobroko]

My issue is, that I am not doing ctrl+c

[hannibalbarx]

same issue for a few weeks now on the Colab notebook

[cRejon]

Same issue on Google Colab. The cell stops running after that

[balintdecsi]

"^C" means your script's running was killed. This is due to a lack of RAM (not necessarily vRAM, just conventional CPU RAM). I ran into the same issue and switching to Premium GPUs and runtime on Colab helped it.