modelscope
using docker to deploy but raise the killed no error response
Environment
Docker
Reproduce step
- docker pull registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-cuda11.7.1-py38-torch2.0.1-tf1.15.5-1.8.1
- docker run -it --name facechain -p 7860:7860 --gpus all registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-cuda11.7.1-py38-torch2.0.1-tf1.15.5-1.8.1 /bin/bash
- pip3 install gradio==3.47.1 controlnet_aux==0.0.6 python-slugify pip3 install controlnet_aux==0.0.6 pip3 install python-slugify
- GIT_LFS_SKIP_SMUDGE=1 git clone https://github.com/modelscope/facechain.git --depth 1 cd facechain python3 app.py
Issue
After Download model artifact, raise those messages:
2024-07-05 22:38:26,664 - modelscope - INFO - Use user-specified model revision: v2.0.2 2024-07-05 22:38:26,920 - modelscope - INFO - initiate model from /mnt/workspace/.cache/modelscope/damo/cv_resnet34_face-attribute-recognition_fairface 2024-07-05 22:38:26,920 - modelscope - INFO - initiate model from location /mnt/workspace/.cache/modelscope/damo/cv_resnet34_face-attribute-recognition_fairface. 2024-07-05 22:38:26,923 - modelscope - WARNING - No preprocessor field found in cfg. 2024-07-05 22:38:26,923 - modelscope - WARNING - No val key and type key found in preprocessor domain of configuration.json file. 2024-07-05 22:38:26,923 - modelscope - WARNING - Cannot find available config to build preprocessor at mode inference, current config: {'model_dir': '/mnt/workspace/.cache/modelscope/damo/cv_resnet34_face-attribute-recognition_fairface'}. trying to build by task and model information. 2024-07-05 22:38:26,923 - modelscope - WARNING - Find task: face-attribute-recognition, model type: None. Insufficient information to build preprocessor, skip building preprocessor 2024-07-05 22:38:27,206 - modelscope - INFO - Model revision not specified, use the latest revision: v1.1 2024-07-05 22:38:27,456 - modelscope - INFO - initiate model from /mnt/workspace/.cache/modelscope/damo/cv_ddsar_face-detection_iclr23-damofd 2024-07-05 22:38:27,456 - modelscope - INFO - initiate model from location /mnt/workspace/.cache/modelscope/damo/cv_ddsar_face-detection_iclr23-damofd. 2024-07-05 22:38:27,457 - modelscope - INFO - initialize model from /mnt/workspace/.cache/modelscope/damo/cv_ddsar_face-detection_iclr23-damofd 2024-07-05 22:38:27,519 - mmcv - INFO - initialize PAFPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} 2024-07-05 22:38:27,522 - mmcv - INFO - lateral_convs.0.conv.weight - torch.Size([16, 64, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0
2024-07-05 22:38:27,523 - mmcv - INFO -
lateral_convs.0.conv.bias - torch.Size([16]):
The value is the same before and after calling init_weights of PAFPN
2024-07-05 22:38:27,523 - mmcv - INFO - lateral_convs.1.conv.weight - torch.Size([16, 120, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0
2024-07-05 22:38:27,523 - mmcv - INFO -
lateral_convs.1.conv.bias - torch.Size([16]):
The value is the same before and after calling init_weights of PAFPN
2024-07-05 22:38:27,523 - mmcv - INFO - lateral_convs.2.conv.weight - torch.Size([16, 160, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0
2024-07-05 22:38:27,523 - mmcv - INFO -
lateral_convs.2.conv.bias - torch.Size([16]):
The value is the same before and after calling init_weights of PAFPN
2024-07-05 22:38:27,523 - mmcv - INFO - fpn_convs.0.conv.weight - torch.Size([16, 16, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0
2024-07-05 22:38:27,523 - mmcv - INFO -
fpn_convs.0.conv.bias - torch.Size([16]):
The value is the same before and after calling init_weights of PAFPN
2024-07-05 22:38:27,523 - mmcv - INFO - fpn_convs.1.conv.weight - torch.Size([16, 16, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0
2024-07-05 22:38:27,523 - mmcv - INFO -
fpn_convs.1.conv.bias - torch.Size([16]):
The value is the same before and after calling init_weights of PAFPN
2024-07-05 22:38:27,523 - mmcv - INFO - fpn_convs.2.conv.weight - torch.Size([16, 16, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0
2024-07-05 22:38:27,523 - mmcv - INFO -
fpn_convs.2.conv.bias - torch.Size([16]):
The value is the same before and after calling init_weights of PAFPN
2024-07-05 22:38:27,523 - mmcv - INFO - downsample_convs.0.conv.weight - torch.Size([16, 16, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0
2024-07-05 22:38:27,523 - mmcv - INFO -
downsample_convs.0.conv.bias - torch.Size([16]):
The value is the same before and after calling init_weights of PAFPN
2024-07-05 22:38:27,523 - mmcv - INFO - downsample_convs.1.conv.weight - torch.Size([16, 16, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0
2024-07-05 22:38:27,524 - mmcv - INFO -
downsample_convs.1.conv.bias - torch.Size([16]):
The value is the same before and after calling init_weights of PAFPN
2024-07-05 22:38:27,524 - mmcv - INFO - pafpn_convs.0.conv.weight - torch.Size([16, 16, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0
2024-07-05 22:38:27,524 - mmcv - INFO -
pafpn_convs.0.conv.bias - torch.Size([16]):
The value is the same before and after calling init_weights of PAFPN
2024-07-05 22:38:27,524 - mmcv - INFO - pafpn_convs.1.conv.weight - torch.Size([16, 16, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0
2024-07-05 22:38:27,524 - mmcv - INFO -
pafpn_convs.1.conv.bias - torch.Size([16]):
The value is the same before and after calling init_weights of PAFPN
2024-07-05 22:38:27,524 - modelscope - INFO - loading model from /mnt/workspace/.cache/modelscope/damo/cv_ddsar_face-detection_iclr23-damofd/pytorch_model.pt load checkpoint from local path: /mnt/workspace/.cache/modelscope/damo/cv_ddsar_face-detection_iclr23-damofd/pytorch_model.pt 2024-07-05 22:38:27,568 - modelscope - INFO - load model done 2024-07-05 22:38:27,575 - modelscope - INFO - loading model from /mnt/workspace/.cache/modelscope/damo/cv_resnet34_face-attribute-recognition_fairface/pytorch_model.pt 2024-07-05 22:38:28,189 - modelscope - INFO - load model done 2024-07-05 22:38:28,370 - modelscope - INFO - Use user-specified model revision: v1.0.0 已杀死 root@5c6a779cfac8:/facechain#
It may comes from CPU out of memory (OOM) error. Please check if the CPU memory is above 20GB.
It may comes from CPU out of memory (OOM) error. Please check if the CPU memory is above 20GB.
CPU memory？not the GPU memory? I use the AWS g5.xlarge with NVIDIA A10, GPU memory is 24GB
