Comments (1)
haoyusoong
commented on July 24, 2024
This issue is caused by the TensorFlow environment. I guess that you run this project under an environment where both PyTorch and TensorFlow are installed. If TensorFlow is available, the xlib/pipelines.py will initialize the tf-related libs. These libs were removed from this PyTorch project for simplicity. Therefore, here are two solutions:
- run this project under a no-TensorFlow environment, or
- replace the xlib/pipelines.py with the updated one, which has removed all tf lib initializations.
from bob.
Related Issues (19)
- per_input_ids=persona_input_ids?
- 采用DDP训练代码出错 HOT 1
- `per_input_ids=persona_input_ids` seems not be used when `ul_training` HOT 3
- Could you provide your model? HOT 1
- Which PPL to be used?
- 关于`ul_training`一些理解不到位的地方 HOT 3
- How to get the results of other metrics?
- Question about nliset of PersonaChat HOT 3
- 1
- How to run this project in "pytorch1.8"
- How to calculate and evaluate the ppl of D1 and D2. HOT 9
- Question about C.score
- Question about CUDA out of memory HOT 1
- Question about the PersonaChat data HOT 4
- Could you provide GDR code? HOT 1
- Question about Dist.1 / 2 HOT 4
- Can't use model.generate when beam_size>1 HOT 1
- 数据不一致问题 HOT 3
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from bob.