Comments (2)
More specifically I have TensorFlow based deep neural network model. How should I proceed if I want to upload it as an example?
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Hi, we currently do not support TensorFlow even though it is in our future plan. Currently, you need to implement your model in PyTorch and create an example.
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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
- BERT Data Preprocessing HOT 3
- 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- It seems the pipeline parallel document is out of date(https://www.colossalai.org/docs/features/pipeline_parallel) HOT 7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- Outdated OPT example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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