Comments (3)
More details about problem 2:
install lddl first, then install boto3:
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. awscli 1.22.55 requires botocore==1.24.0, but you have botocore 1.27.61 which is incompatible. awscli 1.22.55 requires s3transfer<0.6.0,>=0.5.0, but you have s3transfer 0.6.0 which is incompatible.
after install boto3, reinstall lddl:
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. boto3 1.24.61 requires botocore<1.28.0,>=1.27.61, but you have botocore 1.24.0 which is incompatible. boto3 1.24.61 requires s3transfer<0.7.0,>=0.6.0, but you have s3transfer 0.5.2 which is incompatible.
from colossalai-examples.
More details about problem 3:
output.txt
from colossalai-examples.
You can try pip install
with the --no-dependencies
flag to ignore the dependency conflict.
from colossalai-examples.
Related Issues (20)
- Problem with saving model state dict HOT 2
- BERT示例运行错误,ColossalAI-Examples/language/bert/sequene_parallel/ HOT 2
- 运行GPT2案例出现RuntimeError: Could not find 'SLURM_PROCID'问题,是必须要装SLURM环境? HOT 1
- [Compatibility] Runining OPT using PyTorch 1.12 and Gemini placement_policy = 'cuda' failed HOT 3
- 当模型gradient_checkpointing时运行feature/zero/train_v2.py出错 HOT 5
- Cannot find the gradient handler example HOT 1
- ImportError: cannot import name 'colo_state_dict' from 'colossalai.utils.model.colo_init_context' HOT 1
- RuntimeError: CUDA out of memory with cifar10 in data_parallel example HOT 1
- The error happened when I did multi-node distributed training HOT 1
- ImportError running detr HOT 1
- question about import model_zoo.gpt.gpt as col_gpt HOT 2
- It seems the pipeline parallel document is out of date(https://www.colossalai.org/docs/features/pipeline_parallel) HOT 7
- there maybe some bug about the train_gpt.py(https://github.com/hpcaitech/ColossalAI-Examples/blob/main/language/gpt/train_gpt.py) HOT 5
- detr-debug pipelinable.py HOT 1
- Load ColossalAI GPT model as HuggingFace/Transformers Model HOT 2
- Outdated OPT example
- grad is none when run gpt2 with pipeline parallelism only
- cannot import name 'OPTForCausalLM'
- connection failure HOT 2
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from colossalai-examples.