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modified: src/flux/modules/conditioner.py

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  1. src/flux/__pycache__/__init__.cpython-310.pyc +0 -0
  2. src/flux/__pycache__/_version.cpython-310.pyc +0 -0
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  4. src/flux/__pycache__/model.cpython-310.pyc +0 -0
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  6. src/flux/__pycache__/util.cpython-310.pyc +0 -0
  7. src/flux/modules/__pycache__/autoencoder.cpython-310.pyc +0 -0
  8. src/flux/modules/__pycache__/conditioner.cpython-310.pyc +0 -0
  9. src/flux/modules/__pycache__/layers.cpython-310.pyc +0 -0
  10. src/flux/modules/conditioner.py +2 -1
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src/flux/modules/conditioner.py CHANGED
@@ -35,10 +35,11 @@ class HFEmbedder(nn.Module):
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  flag = 'clip'
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  else:
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  flag = 't5'
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- print('foward {flag}')
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  input_ids = batch_encoding["input_ids"]
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  print(f"input_ids shape: {input_ids.shape}, max_length: {self.max_length}") # Debug
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  assert input_ids.shape[1] == self.max_length, f"Sequence length {input_ids.shape[1]} does not match max_length {self.max_length}"
 
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  outputs = self.hf_module(
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  input_ids=input_ids.to(self.hf_module.device),
 
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  flag = 'clip'
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  else:
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  flag = 't5'
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+ print(f'foward {flag}')
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  input_ids = batch_encoding["input_ids"]
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  print(f"input_ids shape: {input_ids.shape}, max_length: {self.max_length}") # Debug
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  assert input_ids.shape[1] == self.max_length, f"Sequence length {input_ids.shape[1]} does not match max_length {self.max_length}"
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+ print(input_ids)
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  outputs = self.hf_module(
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  input_ids=input_ids.to(self.hf_module.device),