I am using Paperspace for programming. I want to import AutoModelForCausalLMWithValueHead, PPOConfig, PPOTrainer
from trl but I I encountered an error. I installed the required libraries such as torch==1.9.0 or 2.0.1
,
transformers==4.18.0
, and trl
. After importing the libraries as shown below:
import pandas as pd
import os
import torch
from transformers import GPT2Tokenizer
from trl import AutoModelForCausalLMWithValueHead, PPOConfig, PPOTrainer
I got the error:
ImportError: cannot import name 'GenerationConfig' from 'transformers' (/usr/local/lib/python3.9/dist-packages/transformers/__init__.py)
Please be aware that the code functions correctly when using Google Colab
. However, when running it on Paperspace
, I encountered an error. It seems that the version of PyTorch
on Paperspace is 1.12.1
, which is not suitable for my requirements. I attempted to create a virtual environment to install a different version of PyTorch, but unfortunately, the version remains 1.12.1
. Although I managed to update PyTorch to higher versions like 2.0.1
, I encountered a conflicting dependency error:
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behavior is the source of the following dependency conflicts.
torchvision 0.13.1+cu116 requires torch==1.12.1, but you have torch 2.0.1 which is incompatible.
torchaudio 0.12.1+cu116 requires torch==1.12.1, but you have torch 2.0.1 which is incompatible.
Even with the latest version of PyTorch, the error persists, and I am still unable to resolve the issue.
It looks like torchvision
and torchaudio
are not compatible with your current torch
version. Try to install pytorch's stable version (2.0.1) using this command:
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
or generate the desired combination from https://pytorch.org/get-started/locally/.
See also my answer to a similar question.