How Do I Create a Training Job When a Dependency Package Is Referenced in a Model?¶
When a model references a dependency package, select a frequently-used framework to create training jobs. In addition, place the required file or installation package in the code directory. The requirements vary based on the dependency package that you use.
Open-source installation package
Note
It is not allowed to install the package using the GitHub source code.
Create a file named pip-requirements.txt in the code directory. In this file, specify the name and version of the dependency package in the format of Package name==Version.
For example, the OBS path specified by Code Directory contains model files and the pip-requirements.txt file. The following shows the code directory structure:
|---OBS path to the model boot file |---model.py #Model boot file |---pip-requirements.txt #Customized configuration file, which specifies the name and version of the dependency package
The following shows the content of the pip-requirements.txt file:
alembic==0.8.6 bleach==1.4.3 click==6.6
Customized WHL file
When you use a customized .whl file, the system cannot automatically download and install the file. Place the .whl file in the code directory, create a file named pip-requirements.txt, and specify the name of the .whl file in the created file. The dependency package must be a .whl file.
For example, the OBS path specified by Code Directory contains model files, .whl file, and pip-requirements.txt file. The following shows the code directory structure:
|---OBS path to the model boot file |---model.py #Model boot file |---XXX.whl #Dependency package. If multiple dependencies are required, place all of them here. |---pip-requirements.txt #Customized configuration file, which specifies the name of the dependency package
The following shows the content of the pip-requirements.txt file:
numpy-1.15.4-cp36-cp36m-manylinux1_x86_64.whl tensorflow-1.8.0-cp36-cp36m-manylinux1_x86_64.whl