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[npu] update cann base image and torch 2.4 (#7061)
* Update base npu container image version:The Python version required for Hugging Face Transformers is >= python3.10 * Fix the bug: arg type of INSTALL_DEEPSPEED shoud been string now. * Update Ascend CANN, CANN-Kernel and corresponding torch and torch-npu version * Upgrade torch-npu needs packages' version: torch==2.1.0 and torch-npu==2.4.0.post2 Former-commit-id: d6dafada58412b0c801e576ef4d8d96203f792af
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README.md
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README.md
@ -479,12 +479,12 @@ To install LLaMA Factory on Ascend NPU devices, please upgrade Python to version
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```bash
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```bash
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# replace the url according to your CANN version and devices
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# replace the url according to your CANN version and devices
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# install CANN Toolkit
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# install CANN Toolkit
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wget https://ascend-repo.obs.cn-east-2.myhuaweicloud.com/Milan-ASL/Milan-ASL%20V100R001C17SPC701/Ascend-cann-toolkit_8.0.RC1.alpha001_linux-"$(uname -i)".run
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wget https://ascend-repo.obs.cn-east-2.myhuaweicloud.com/Milan-ASL/Milan-ASL%20V100R001C20SPC702/Ascend-cann-toolkit_8.0.0.alpha002_linux-"$(uname -i)".run
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bash Ascend-cann-toolkit_8.0.RC1.alpha001_linux-"$(uname -i)".run --install
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bash Ascend-cann-toolkit_8.0.0.alpha002_linux-"$(uname -i)".run --install
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# install CANN Kernels
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# install CANN Kernels
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wget https://ascend-repo.obs.cn-east-2.myhuaweicloud.com/Milan-ASL/Milan-ASL%20V100R001C17SPC701/Ascend-cann-kernels-910b_8.0.RC1.alpha001_linux.run
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wget https://ascend-repo.obs.cn-east-2.myhuaweicloud.com/Milan-ASL/Milan-ASL%20V100R001C20SPC702/Ascend-cann-kernels-910b_8.0.0.alpha002_linux-"$(uname -i)".run
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bash Ascend-cann-kernels-910b_8.0.RC1.alpha001_linux.run --install
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bash Ascend-cann-kernels-910b_8.0.0.alpha002_linux-"$(uname -i)".run --install
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# set env variables
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# set env variables
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source /usr/local/Ascend/ascend-toolkit/set_env.sh
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source /usr/local/Ascend/ascend-toolkit/set_env.sh
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@ -492,10 +492,10 @@ source /usr/local/Ascend/ascend-toolkit/set_env.sh
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| Requirement | Minimum | Recommend |
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| Requirement | Minimum | Recommend |
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| ------------ | ------- | ----------- |
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| ------------ | ------- | ----------- |
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| CANN | 8.0.RC1 | 8.0.RC1 |
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| CANN | 8.0.RC1 | 8.0.0.alpha002 |
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| torch | 2.1.0 | 2.1.0 |
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| torch | 2.1.0 | 2.4.0 |
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| torch-npu | 2.1.0 | 2.1.0.post3 |
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| torch-npu | 2.1.0 | 2.4.0.post2 |
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| deepspeed | 0.13.2 | 0.13.2 |
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| deepspeed | 0.13.2 | 0.16.2 |
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Remember to use `ASCEND_RT_VISIBLE_DEVICES` instead of `CUDA_VISIBLE_DEVICES` to specify the device to use.
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Remember to use `ASCEND_RT_VISIBLE_DEVICES` instead of `CUDA_VISIBLE_DEVICES` to specify the device to use.
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@ -1,7 +1,7 @@
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# Use the Ubuntu 22.04 image with CANN 8.0.rc1
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# Use the Ubuntu 22.04 image with CANN 8.0.rc1
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# More versions can be found at https://hub.docker.com/r/ascendai/cann/tags
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# More versions can be found at https://hub.docker.com/r/ascendai/cann/tags
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# FROM ascendai/cann:8.0.rc1-910-ubuntu22.04-py3.8
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# FROM ascendai/cann:8.0.rc1-910-ubuntu22.04-py3.8
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FROM ascendai/cann:8.0.rc1-910b-ubuntu22.04-py3.8
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FROM ascendai/cann:8.0.0-910b-ubuntu22.04-py3.10
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# FROM ascendai/cann:8.0.rc1-910-openeuler22.03-py3.8
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# FROM ascendai/cann:8.0.rc1-910-openeuler22.03-py3.8
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# FROM ascendai/cann:8.0.rc1-910b-openeuler22.03-py3.8
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# FROM ascendai/cann:8.0.rc1-910b-openeuler22.03-py3.8
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@ -4,7 +4,7 @@ services:
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dockerfile: ./docker/docker-npu/Dockerfile
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dockerfile: ./docker/docker-npu/Dockerfile
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context: ../..
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context: ../..
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args:
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args:
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INSTALL_DEEPSPEED: false
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INSTALL_DEEPSPEED: "false"
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PIP_INDEX: https://pypi.org/simple
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PIP_INDEX: https://pypi.org/simple
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container_name: llamafactory
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container_name: llamafactory
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volumes:
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volumes:
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2
setup.py
2
setup.py
@ -44,7 +44,7 @@ def get_console_scripts() -> List[str]:
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extra_require = {
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extra_require = {
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"torch": ["torch>=1.13.1"],
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"torch": ["torch>=1.13.1"],
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"torch-npu": ["torch==2.1.0", "torch-npu==2.1.0.post3", "decorator"],
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"torch-npu": ["torch==2.4.0", "torch-npu==2.4.0.post2", "decorator"],
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"metrics": ["nltk", "jieba", "rouge-chinese"],
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"metrics": ["nltk", "jieba", "rouge-chinese"],
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"deepspeed": ["deepspeed>=0.10.0,<=0.16.2"],
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"deepspeed": ["deepspeed>=0.10.0,<=0.16.2"],
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"liger-kernel": ["liger-kernel"],
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"liger-kernel": ["liger-kernel"],
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