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I try to train a pytorch model on amazon sagemaker studio.

It's working when I use an EC2 for training with:

estimator = PyTorch(entry_point='train_script.py',
                role=role,
                sagemaker_session = sess,
                train_instance_count=1,
                train_instance_type='ml.c5.xlarge',
                framework_version='1.4.0', 
                source_dir='.',
                git_config=git_config, 
               )
estimator.fit({'stockdata': data_path})

and it's work on local mode in classic sagemaker notebook (non studio) with:

 estimator = PyTorch(entry_point='train_script.py',
                role=role,
                train_instance_count=1,
                train_instance_type='local',
                framework_version='1.4.0', 
                source_dir='.',
                git_config=git_config, 
               )
estimator.fit({'stockdata': data_path})

But when I use it the same code (with train_instance_type='local') on sagemaker studio it doesn't work and I have the following error: No such file or directory: 'docker': 'docker'

I tried to install docker with pip install but the docker command is not found if use it in terminal

Answers

This indicates that there is a problem finding the Docker service.

By default, the Docker is not installed in the SageMaker Studio (confirming github ticket response).