@@ -238,41 +238,7 @@ If you want to run local integration tests, then use:
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Functional Tests
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~~~~~~~~~~~~~~~~
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- Functional tests require your Docker image to be within an `Amazon ECR repository <https://docs
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- .aws.amazon.com/AmazonECS/latest/developerguide/ECS_Console_Repositories.html> `__.
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- The Docker-base-name is your `ECR repository namespace <https://docs.aws.amazon
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- .com/AmazonECR/latest/userguide/Repositories.html> `__.
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- The instance-type is your specified `Amazon SageMaker Instance Type
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- <https://aws.amazon.com/sagemaker/pricing/instance-types/> `__ that the functional test will run on.
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- Before running functional tests:
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-
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- #. Build your Docker image.
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- #. Push the image to your ECR repository.
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- #. Pass in the correct pytest arguments to run tests on SageMaker against the image within your ECR repository.
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-
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- If you want to run a functional end to end test on `Amazon
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- SageMaker <https://aws.amazon.com/sagemaker/> `__, then use:
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- ::
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- # Required arguments for integration tests are found in test/functional/conftest.py
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- pytest test/functional --aws-id <your_aws_id> \
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- --docker-base-name <your_docker_image> \
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- --instance-type <amazon_sagemaker_instance_type> \
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- --tag <your_docker_image_tag> \
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-
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- ::
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-
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- # Example
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- pytest test/functional --aws-id 12345678910 \
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- --docker-base-name preprod-tensorflow \
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- --instance-type ml.m4.xlarge \
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- --tag 1.0
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+ Functional tests are removed from the current branch, please see them in older branch `r1.0 <https://github.com/aws/sagemaker-tensorflow-container/tree/r1.0#functional-tests >`__.
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Contributing
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------------
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