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fix sample gen failed in sdxl training

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Kohya S
2023-08-11 16:58:52 +09:00
parent 12e58ab37f
commit e73d103eca
1 changed files with 1 additions and 0 deletions
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library/train_util.py
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@@ -3896,6 +3896,7 @@ def pool_workaround(
# Use argmax to find the last index of the EOS token for each element in the batch # Use argmax to find the last index of the EOS token for each element in the batch
eos_token_index = torch.argmax(eos_token_mask, dim=1) # this will be 0 if there is no EOS token, it's fine eos_token_index = torch.argmax(eos_token_mask, dim=1) # this will be 0 if there is no EOS token, it's fine
eos_token_index = eos_token_index.to(device=last_hidden_state.device)
# get hidden states for EOS token # get hidden states for EOS token
pooled_output = last_hidden_state[torch.arange(last_hidden_state.shape[0], device=last_hidden_state.device), eos_token_index] pooled_output = last_hidden_state[torch.arange(last_hidden_state.shape[0], device=last_hidden_state.device), eos_token_index]