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Update README.md

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README.md
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...@@ -36,10 +36,17 @@ docker pull image.sourcefind.cn:5000/dcu/admin/base/jax:0.4.23-ubuntu20.04-dtk24 ...@@ -36,10 +36,17 @@ docker pull image.sourcefind.cn:5000/dcu/admin/base/jax:0.4.23-ubuntu20.04-dtk24
docker run -it --network=host --privileged=true --name=docker_name --device=/dev/kfd --device=/dev/dri --group-add video --shm-size=32G --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v /path/your_code_data/:/path/your_code_data/ imageID /bin/bash docker run -it --network=host --privileged=true --name=docker_name --device=/dev/kfd --device=/dev/dri --group-add video --shm-size=32G --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v /path/your_code_data/:/path/your_code_data/ imageID /bin/bash
cd /your_code_path/timesfm cd /your_code_path/timesfm
pip install praxis==1.2.0
pip install paxml==1.2.0
pip install -r requirements.txt pip install -r requirements.txt
pip install tensorflow-2.13.1+das1.0+git429d21b.abi1.dtk2404-cp310-cp310-manylinux2014_x86_64.whl（或 tensorflow-cpu==2.13.1） wget https://cancon.hpccube.com:65024/directlink/4/tensorflow/DAS1.0/tensorflow-2.13.1+das1.0+git429d21b.abi1.dtk2404-cp310-cp310-manylinux2014_x86_64.whl #（或 tensorflow-cpu==2.13.1）
pip uninstall protobuf wget https://cancon.hpccube.com:65024/directlink/4/pytorch/DAS1.0/torch-2.1.0+das1.0+git00661e0.abi0.dtk2404-cp310-cp310-manylinux2014_x86_64.whl
pip install protobuf==3.20.3 wget https://cancon.hpccube.com:65024/directlink/4/jax/DAS1.1/jax-0.4.23+das1.1.git387bd43.abi1.dtk2404-py3-none-any.whl
wget https://cancon.hpccube.com:65024/directlink/4/jax/DAS1.0/jaxlib-0.4.23+das1.0+git97306ab.abi1.dtk2404-cp310-cp310-manylinux2014_x86_64.whl
pip install tensorflow-2.13.1+das1.0+git429d21b.abi1.dtk2404-cp310-cp310-manylinux2014_x86_64.whl #（或 tensorflow-cpu==2.13.1）
pip install torch-2.1.0+das1.0+git00661e0.abi0.dtk2404-cp310-cp310-manylinux2014_x86_64.whl
pip install jax-0.4.23+das1.1.git387bd43.abi1.dtk2404-py3-none-any.whl
pip install jaxlib-0.4.23+das1.0+git97306ab.abi1.dtk2404-cp310-cp310-manylinux2014_x86_64.whl
``` ```
### Dockerfile（方法二） ### Dockerfile（方法二）
``` ```
...@@ -48,10 +55,17 @@ docker build --no-cache -t timesfm:latest . ...@@ -48,10 +55,17 @@ docker build --no-cache -t timesfm:latest .
docker run -it --network=host --privileged=true --name=docker_name --device=/dev/kfd --device=/dev/dri --group-add video --shm-size=32G --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v /path/your_code_data/:/path/your_code_data/ imageID /bin/bash docker run -it --network=host --privileged=true --name=docker_name --device=/dev/kfd --device=/dev/dri --group-add video --shm-size=32G --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v /path/your_code_data/:/path/your_code_data/ imageID /bin/bash
cd /your_code_path/timesfm cd /your_code_path/timesfm
pip install praxis==1.2.0
pip install paxml==1.2.0
pip install -r requirements.txt pip install -r requirements.txt
pip install tensorflow-2.13.1+das1.0+git429d21b.abi1.dtk2404-cp310-cp310-manylinux2014_x86_64.whl （或 tensorflow-cpu==2.13.1） wget https://cancon.hpccube.com:65024/directlink/4/tensorflow/DAS1.0/tensorflow-2.13.1+das1.0+git429d21b.abi1.dtk2404-cp310-cp310-manylinux2014_x86_64.whl #（或 tensorflow-cpu==2.13.1）
pip uninstall protobuf wget https://cancon.hpccube.com:65024/directlink/4/pytorch/DAS1.0/torch-2.1.0+das1.0+git00661e0.abi0.dtk2404-cp310-cp310-manylinux2014_x86_64.whl
pip install protobuf==3.20.3 wget https://cancon.hpccube.com:65024/directlink/4/jax/DAS1.1/jax-0.4.23+das1.1.git387bd43.abi1.dtk2404-py3-none-any.whl
wget https://cancon.hpccube.com:65024/directlink/4/jax/DAS1.0/jaxlib-0.4.23+das1.0+git97306ab.abi1.dtk2404-cp310-cp310-manylinux2014_x86_64.whl
pip install tensorflow-2.13.1+das1.0+git429d21b.abi1.dtk2404-cp310-cp310-manylinux2014_x86_64.whl #（或 tensorflow-cpu==2.13.1）
pip install torch-2.1.0+das1.0+git00661e0.abi0.dtk2404-cp310-cp310-manylinux2014_x86_64.whl
pip install jax-0.4.23+das1.1.git387bd43.abi1.dtk2404-py3-none-any.whl
pip install jaxlib-0.4.23+das1.0+git97306ab.abi1.dtk2404-cp310-cp310-manylinux2014_x86_64.whl
``` ```
### Anaconda（方法三） ### Anaconda（方法三）
1、关于本项目DCU显卡所需的特殊深度学习库可从光合开发者社区下载安装: https://developer.hpccube.com/tool/ 1、关于本项目DCU显卡所需的特殊深度学习库可从光合开发者社区下载安装: https://developer.hpccube.com/tool/
...@@ -60,15 +74,20 @@ DTK软件栈：dtk24.04 ...@@ -60,15 +74,20 @@ DTK软件栈：dtk24.04
python：python3.10 python：python3.10
jax：0.4.23 jax：0.4.23
tensorflow：2.13.1 （或 tensorflow-cpu==2.13.1） tensorflow：2.13.1 （或 tensorflow-cpu==2.13.1）
torch：2.1.0
``` ```
`Tips：以上dtk软件栈、python、jax等DCU相关工具版本需要严格一一对应` `Tips：以上dtk软件栈、python、jax等DCU相关工具版本需要严格一一对应`
2、其他非特殊库直接按照下面步骤进行安装 2、其他非特殊库直接按照下面步骤进行安装
``` ```
cd /your_code_path/timesfm cd /your_code_path/timesfm
pip install praxis==1.2.0
pip install paxml==1.2.0
pip install -r requirements.txt pip install -r requirements.txt
pip uninstall protobuf pip install tensorflow-2.13.1+das1.0+git429d21b.abi1.dtk2404-cp310-cp310-manylinux2014_x86_64.whl #（或 tensorflow-cpu==2.13.1）
pip install protobuf==3.20.3 pip install torch-2.1.0+das1.0+git00661e0.abi0.dtk2404-cp310-cp310-manylinux2014_x86_64.whl
pip install jax-0.4.23+das1.1.git387bd43.abi1.dtk2404-py3-none-any.whl
pip install jaxlib-0.4.23+das1.0+git97306ab.abi1.dtk2404-cp310-cp310-manylinux2014_x86_64.whl
``` ```
## 数据集 ## 数据集
基准测试数据集运行时会gluonts自动下载，长期基准测试数据集需从Google Drive手动下载（需要魔法）： 基准测试数据集运行时会gluonts自动下载，长期基准测试数据集需从Google Drive手动下载（需要魔法）：
...@@ -110,10 +129,6 @@ DATA_DICT = { ...@@ -110,10 +129,6 @@ DATA_DICT = {
-https://hf-mirror.com/google/timesfm-1.0-200m -https://hf-mirror.com/google/timesfm-1.0-200m
``` ```
# "model"是存储目录，可自订 # "model"是存储目录，可自订
1、通过git
cd timesfm
git clone https://hf-mirror.com/google/timesfm-1.0-200m model
2、通过huggingface-cli
cd timesfm cd timesfm
export HF_DATASETS_CACHE="path/timesfm/model" export HF_DATASETS_CACHE="path/timesfm/model"
export HF_ENDPOINT=https://hf-mirror.com # 设置下载地址 export HF_ENDPOINT=https://hf-mirror.com # 设置下载地址
......
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