Comments (2)
Aadyant12
commented on August 26, 2024
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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FrankLeeeee
commented on August 26, 2024
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- It seems the pipeline parallel document is out of date(https://www.colossalai.org/docs/features/pipeline_parallel) HOT 7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- Outdated OPT example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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