Sagemaker-pytorch-training

Latest version: v2.8.1

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1.0.3

Bug fixes and other changes

* modify buildspecs and tox files

1.0.2

Bug fixes and other changes

* freeze dependency versions

1.0.1

Bug fixes and other changes

* add buildspec-release file and upgrade cuda version
* upgrade PyTorch to 1.1
* disable test_mnist_gpu for py2 for now
* fix broken line of buildspec
* prevent hidden errors in buildspec
* Add AWS CodeBuild buildspec for pull request
* Bump minimum SageMaker Containers version to 2.4.6 and pin SageMaker Python SDK to 1.18.16
* fix broken link in README
* Add timeout to test_mnist_gpu test
* Use dummy role in tests and update local failure integ test
* Use the SageMaker Python SDK for local serving integ tests
* Use the SageMaker Python SDK for local integ distributed training tests
* Use the SageMaker Python SDK for local integ single-machine training tests
* Pin fastai version to 1.0.39 in CPU dockerfile
* Use the SageMaker Python SDK for SageMaker integration tests
* Add missing rendering dependencies for opencv and a simple test.
* Add opencv support.
* Freeze PyYAML version to avoid conflict with Docker Compose
* Unfreeze numpy version.
* Freeze TorchVision to 0.2.1
* Specify region when creating S3 resource in integ tests
* Read framework version from Python SDK for integ test default
* Fix unicode display problem in py2 container
* freeze pip <=18.1, fastai == 1.0.39, numpy <= 1.15.4
* Add support for fastai (https://github.com/fastai/fastai) library.
* Remove "requsests" from tests dependencies to avoid regular conflicts with "requests" package from "sagemaker" dependencies.
* Add support for PyTorch-1.0.

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