From 59c4cd9128215967d3b5096c1784ca5e0a1ab1d2 Mon Sep 17 00:00:00 2001 From: Loki Date: Tue, 14 Jun 2022 17:30:35 +0000 Subject: [PATCH] Fixing typo in trcomp notebook --- .../single_gpu_single_node/vision-transformer.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/sagemaker-training-compiler/tensorflow/single_gpu_single_node/vision-transformer.ipynb b/sagemaker-training-compiler/tensorflow/single_gpu_single_node/vision-transformer.ipynb index 6de8d245fe..5ee7a352c4 100644 --- a/sagemaker-training-compiler/tensorflow/single_gpu_single_node/vision-transformer.ipynb +++ b/sagemaker-training-compiler/tensorflow/single_gpu_single_node/vision-transformer.ipynb @@ -45,7 +45,7 @@ "\n", "In this demo, you'll use Amazon SageMaker Training Compiler to train the `Vision Transformer` model on the `Caltech-256` dataset. To get started, we need to set up the environment with a few prerequisite steps, for permissions, configurations, and so on. \n", "\n", - "**NOTE:** You can run this demo in SageMaker Studio, SageMaker notebook instances, or your local machine with AWS CLI set up. If using SageMaker Studio or SageMaker notebook instances, make sure you choose one of the TensorFlow-based kernels, `Python 3 (TensorFlow x.y Python 3.x CPU Optimized)` or `conda_tesorflow_p39` respectively.\n", + "**NOTE:** You can run this demo in SageMaker Studio, SageMaker notebook instances, or your local machine with AWS CLI set up. If using SageMaker Studio or SageMaker notebook instances, make sure you choose one of the TensorFlow-based kernels, `Python 3 (TensorFlow x.y Python 3.x CPU Optimized)` or `conda_tensorflow_p39` respectively.\n", "\n", "**NOTE:** This notebook uses a `ml.p3.2xlarge` instance with a single GPU. However, it can easily be extended to multiple GPUs on a single node. If you don't have enough quota, see [Request a service quota increase for SageMaker resources](https://docs.aws.amazon.com/sagemaker/latest/dg/regions-quotas.html#service-limit-increase-request-procedure). " ] @@ -341,7 +341,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f9217c89", + "id": "c7b7c215", "metadata": {}, "outputs": [], "source": [