From 9c9b8e707b9803a1425ed8dd2f51069b22d9230f Mon Sep 17 00:00:00 2001 From: Philipp Schmid <32632186+philschmid@users.noreply.github.com> Date: Thu, 8 Apr 2021 22:05:53 +0200 Subject: [PATCH] Updates SageMaker docs for updating DLCs (#11140) --- tests/sagemaker/README.md | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/tests/sagemaker/README.md b/tests/sagemaker/README.md index b3c9906cc5f..3d8ab7c2bfe 100644 --- a/tests/sagemaker/README.md +++ b/tests/sagemaker/README.md @@ -136,10 +136,7 @@ images: docker_file: !join [ docker/, *SHORT_VERSION, /, *DOCKER_PYTHON_VERSION, /, *CUDA_VERSION, /Dockerfile., *DEVICE_TYPE ] ``` -2. In the PR comment describe what test we ran and with which framework versions. Here you can copy the table from [Current Tests](#current-tests). - -TODO: Add a screenshot of PR + Text template to make it easy to open. - +2. In the PR comment describe what test we ran and with which framework versions. Here you can copy the table from [Current Tests](#current-tests). You can take a look at this [PR](https://github.com/aws/deep-learning-containers/pull/1016), which information are needed. ## Current Tests @@ -150,4 +147,4 @@ TODO: Add a screenshot of PR + Text template to make it easy to open. | 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 | | tensorflow-transfromers-test-single | Test bert finetuning using BERT from transformer lib+TF | SageMaker createTrainingJob | 1 | train_runtime, eval_accuracy & eval_loss | -| tensorflow-transfromers-test-2-smd | test bert finetuning using BERT from transformer lib+ TF SM DDP | SageMaker createTrainingJob | 16 | train_runtime, eval_accuracy & eval_loss | \ No newline at end of file +| tensorflow-transfromers-test-2-smd | test bert finetuning using BERT from transformer lib+ TF SM DDP | SageMaker createTrainingJob | 16 | train_runtime, eval_accuracy & eval_loss |