feature request : Docker image for deepspeed-mii about deepspeed-mii

[mrwyattii]

I think this a great idea. We have something similar right now via the DeploymentType.AML pathway, however the Docker image we build there is intended for AzureML. We may be able to adapt the work we have done there to create a Docker image for easier deployment.

In the meantime, could you please share what errors you are running into with installing deepspeed-mii? is the error related to protobuf versioning? We may have a bug in our requirements or packaging that should be resolved.

[Thytu]

I think this a great idea. We have something similar right now via the DeploymentType.AML pathway, however the Docker image we build there is intended for AzureML. We may be able to adapt the work we have done there to create a Docker image for easier deployment.

Nice! If I can help in anyway I would be happy to! This would be useful for me to have a proper image to deploy 🙂

In the meantime, could you please share what errors you are running into with installing deepspeed-mii? is the error related to protobuf versioning? We may have a bug in our requirements or packaging that should be resolved

Yes, here are the steps followed with there respective outputs:

- conda create -n mii

- conda activate mii

- conda install pip

- pip install deepspeed-mii

- python main.py:
File "/home/vdmatos/miniconda3/envs/mii-2/lib/python3.10/site-packages/mii/models/providers/diffusers.py", line 6, in diffusers_provider
    from diffusers import DiffusionPipeline
ModuleNotFoundError: No module named 'diffusers'

- pip install diffusers

- python main.py:
File "/home/vdmatos/miniconda3/envs/mii-2/lib/python3.10/site-packages/deepspeed/ops/transformer/inference/attention.py", line 22, in load_triton_flash_attn
    raise ImportError("Please install triton 2.0+ or `pip install deepspeed[sd]`")

- pip install deepspeed[sd]

- python main.py:
File "/home/vdmatos/miniconda3/envs/mii-2/lib/python3.10/site-packages/deepspeed/inference/engine.py", line 238, in _validate_args
    raise ValueError(f"model must be a torch.nn.Module, got {type(self.module)}")
ValueError: model must be a torch.nn.Module, got <class 'diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline'>

(still by running this example)

Feel free to let me know if :

• I did any mistake in my installation step
• You want me to open a proper issue relating this error (rather than following it on this feature request)

[mrwyattii]

@Thytu there were some recent updates to MII and DeepSpeed with regards to Stable Diffusion. Your installation methods look fine, could you try running again with latest of each?