update pytorch_local_mode_cifar10.ipynb to 1.7.1

[ChoiByungWook]

Issue #, if available:
The following pull requests in the SageMaker Python SDK repository are failing due to notebook tests in regards to this notebook:

• feature: Allow users to send custom attributes to the model endpoint sagemaker-python-sdk#2198
• change: Do lazy initialization in predictor sagemaker-python-sdk#2206

These notebooks are failing, as some of the older PyTorch images starting from 1.4.0 and above have been updated and the sagemaker_containers library was removed unintentionally:

• [build][pytorch] patch PT1.4 for python and awscli version deep-learning-containers#901

Description of changes:
Update pytorch_local_mode_cifar10.ipynb to use the PyTorch 1.7.1 images for training and inference.

Update references for sagemaker_containers to sagemaker_training and sagemaker_inference.

Testing
I have attached an html of a successfully run notebook with the changes defined below.

test.zip

By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.

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AWS CodeBuild CI Report

• CodeBuild project: amazon-sagemaker-examples-pr
• Commit ID: 895f8b9
• Result: FAILED
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[ChoiByungWook]

AWS CodeBuild CI Report

• CodeBuild project: amazon-sagemaker-examples-pr
• Commit ID: 895f8b9
• Result: FAILED
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The CI tests are failing due to torch not being in the PyTorch conda environment ¯_(ツ)_/¯

*      kernel: Environment (conda_pytorch_p27)
*
*      status: Failed     
*

---------------------------------------------------------------------------
Exception encountered at "In [4]":
---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-4-ed75feccdc2b> in <module>
----> 1 from utils_cifar import get_train_data_loader, get_test_data_loader, imshow, classes
      2 
      3 trainloader = get_train_data_loader()
      4 testloader = get_test_data_loader()

/opt/ml/processing/input/utils_cifar.py in <module>
----> 1 import torch
      2 import torchvision
      3 import torchvision.transforms as transforms
      4 import matplotlib.pyplot as plt
      5 import numpy as np

ModuleNotFoundError: No module named 'torch'

[sagemaker-bot]

AWS CodeBuild CI Report

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• Commit ID: 895f8b9
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failing test

[sagemaker-bot]

AWS CodeBuild CI Report

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[sagemaker-bot]

AWS CodeBuild CI Report

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• Result: FAILED
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• CodeBuild project: amazon-sagemaker-examples-pr
• Commit ID: 895f8b9
• Result: FAILED
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[sagemaker-bot]

AWS CodeBuild CI Report

• CodeBuild project: amazon-sagemaker-examples-pr
• Commit ID: 895f8b9
• Result: FAILED
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[sagemaker-bot]

AWS CodeBuild CI Report

• CodeBuild project: amazon-sagemaker-examples-pr
• Commit ID: 895f8b9
• Result: FAILED
• Build Logs (available for 30 days)

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