[huggingface_pytorch] upgrade PyTorch to 1.7.1

[philschmid]

What is the PR doing?

This PR upgrades the PyTorch version from 1.6.0 to 1.7.1.

Issue #, if available:

PR Checklist

• I've prepended PR tag with frameworks/job this applies to : [mxnet, tensorflow, pytorch] | [ei/neuron] | [build] | [test] | [benchmark] | [ec2, ecs, eks, sagemaker]
• (If applicable) I've documented below the DLC image/dockerfile this relates to
• (If applicable) I've documented below the tests I've run on the DLC image
• (If applicable) I've reviewed the licenses of updated and new binaries and their dependencies to make sure all licenses are on the Apache Software Foundation Third Party License Policy Category A or Category B license list. See https://www.apache.org/legal/resolved.html.
• (If applicable) I've scanned the updated and new binaries to make sure they do not have vulnerabilities associated with them.

Pytest Marker Checklist

• (If applicable) I have added the marker @pytest.mark.model("<model-type>") to the new tests which I have added, to specify the Deep Learning model that is used in the test (use "N/A" if the test doesn't use a model)
• (If applicable) I have added the marker @pytest.mark.integration("<feature-being-tested>") to the new tests which I have added, to specify the feature that will be tested
• (If applicable) I have added the marker @pytest.mark.multinode(<integer-num-nodes>) to the new tests which I have added, to specify the number of nodes used on a multi-node test
• (If applicable) I have added the marker @pytest.mark.processor(<"cpu"/"gpu"/"eia"/"neuron">) to the new tests which I have added, if a test is specifically applicable to only one processor type

EIA/NEURON Checklist

• When creating a PR:

• I've modified src/config/build_config.py in my PR branch by setting ENABLE_EI_MODE = True or ENABLE_NEURON_MODE = True

• When PR is reviewed and ready to be merged:

• I've reverted the code change on the config file mentioned above

Benchmark Checklist

• When creating a PR:

• I've modified src/config/test_config.py in my PR branch by setting ENABLE_BENCHMARK_DEV_MODE = True

• When PR is reviewed and ready to be merged:

• I've reverted the code change on the config file mentioned above

Reviewer Checklist

• For reviewer, before merging, please cross-check:

• I've verified the code change on the config file mentioned above has already been reverted

Description:

This PRs upgrades the PyTorch from 1.6.0 to 1.7.1. Therefore I have created a new buildspec.yaml and renamed the old buildspec.yaml to buildspec-1-6.yml.

Tests run:

https://github.com/huggingface/transformers/tree/master/tests/sagemaker

ID	Description	Platform	#GPUS	Collected & evaluated metrics
pytorch-transfromers-test-single	test bert finetuning using BERT fromtransformerlib+PT	SageMaker createTrainingJob	1	train_runtime, eval_accuracy & eval_loss
pytorch-transfromers-test-2-ddp	test bert finetuning using BERT from transformer lib+ PT DPP	SageMaker createTrainingJob	16	train_runtime, eval_accuracy & eval_loss
pytorch-transfromers-test-2-smd	test bert finetuning using BERT from transformer lib+ PT SM DDP	SageMaker createTrainingJob	16	train_runtime, eval_accuracy & eval_loss
pytorch-transfromers-test-1-smp	test roberta finetuning using BERT from transformer lib+ PT SM MP	SageMaker createTrainingJob	8	train_runtime, eval_accuracy & eval_loss

DLC image/dockerfile:

The Hugging Face DLCs for PyTorch

Test Json files:

pytorch-transfromers-test-1-smp-smtrain-2021-04-12-14-11-39-093.txt
pytorch-transfromers-test-1-smp-trainer-2021-04-12-13-35-45-822.txt
pytorch-transfromers-test-2-ddp-2021-04-12-13-22-48-512.txt
pytorch-transfromers-test-2-smd-2021-04-12-14-11-39-093.txt
pytorch-transfromers-test-single-2021-04-12-13-35-45-177.txt

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