【文件属性】：
文件名称：amazon-sagemaker-local-mode：Amazon SageMaker本地模式示例
文件大小：1.59MB
文件格式：ZIP
更新时间：2021-02-05 20:38:01
tensorflow scikit-learn pytorch lightgbm pycharm
Amazon SageMaker本地模式示例
该存储库包含示例和相关资源，向您展示如何预处理，训练，调试带有断点的训练脚本，以及如何使用Amazon SageMaker Local模式在本地计算机上服务以处理作业，训练和服务。
总览
通过更改TensorFlow，PyTorch或MXNet估计器中的单个参数，Amazon SageMaker Python SDK中的本地模式可以模拟CPU（单实例和多实例）和GPU（单实例）SageMaker培训作业。 为此，它使用Docker compose和NVIDIA Docker。 还将从Amazon ECS中提取Amazon SageMaker Ten
【文件预览】：
amazon-sagemaker-local-mode-main
----.gitignore(1KB)
----lightgbm_bring_your_own_container_local_training_and_serving()
--------data()
--------container()
--------build_and_push.sh(1KB)
--------lightgbm_bring_your_own_container_local_training_and_serving.py(3KB)
----scikit_learn_bring_your_own_container_local_processing()
--------scikit_learn_bring_your_own_container_local_processing.py(2KB)
--------container()
--------input_data()
--------processing_script.py(2KB)
----prophet_bring_your_own_container_local_training_and_serving()
--------data()
--------prophet_bring_your_own_container_local_training_and_serving.py(1KB)
--------container()
----CONTRIBUTING.md(3KB)
----CODE_OF_CONDUCT.md(309B)
----LICENSE(927B)
----README.md(5KB)
----tensorflow_script_mode_local_training_and_serving()
--------tensorflow_script_mode_local_training_and_serving.py(6KB)
--------mnist_tf2.py(3KB)
--------requirements.txt(53B)
--------data()
----scikit_learn_local_processing()
--------SKLearnProcessor_local_processing.py(2KB)
--------input_data()
--------processing_script.py(2KB)
----pytorch_script_mode_local_training_and_serving()
--------data()
--------cifar10_pytorch.py(6KB)
--------pytorch_script_mode_local_training_and_serving.py(3KB)
--------utils_cifar.py(1KB)
----tensorflow_script_mode_debug_local_training()
--------requirements.txt(53B)
--------data()
--------README.md(4KB)
--------source_dir()
--------tensorflow_script_mode_debug_local_training.py(4KB)
----img()
--------debug_your_application_2.png(226KB)
--------pycharm_sagemaker_local_training.png(252KB)
--------py_remote_debug.png(11KB)
--------pycharm_sagemaker_local_processing_jobs.png(260KB)
--------pycharm_sagemaker_local_serving.png(225KB)
--------pycharm_sagemaker_local_tf2_debug_create_conf.png(73KB)
--------set_breakpoint.png(84KB)
--------icons.actions.startDebugger.svg(1KB)
--------map_container_code_to_your_project.png(27KB)
--------debug_waiting_for_process_connection.png(43KB)
--------debug_your_application.png(215KB)
--------pydevd_pycharm_install.png(115KB)
--------map_container_code_to_your_project_fixed.png(68KB)
--------debug_and_resume_program.png(49KB)
--------map_container_code_to_your_project_fix.png(35KB)
----catboost_bring_your_own_container_local_training_and_serving()
--------data()
--------container()
--------build_and_push.sh(1KB)
--------catboost_bring_your_own_container_local_training_and_serving.py(2KB)