Sagemaker pytorch example. PyTorch, created by Facebook's AI Research lab, is praised for its simplicity and flexibility. To turn on SageMaker Training Compiler, add the compiler_config parameter to the SageMaker AI estimators. Step 1: Launch the Studio Open Amazon SageMaker Unified Studio Create a project named pytorch-ssd-object-detection-example Select Models from AI/ML section from the left panel and search for Pytorch SSD model. These notebooks run on EC2 instances and offer pre-installed libraries such as TensorFlow, PyTorch, and Scikit-learn (Sklearn). In this blog 1 day ago ยท The goal here is simple, run a PyTorch SSD (Single Shot MultiBox Detector) example for object detection in an image. For documentation, see Train a Model with PyTorch. For more information, see Deploy PyTorch models. . The following code examples show the structure of For a sample Jupyter notebook, see the PyTorch example notebook in the Amazon SageMaker AI Examples GitHub repository. Import the TrainingCompilerConfig class and pass an instance of it to the compiler_config parameter.
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