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downgrade TF version for PR test tensorflow_multi_worker_mirrored_strategy.ipynb
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training/distributed_training/tensorflow/multi_worker_mirrored_strategy/tensorflow_multi_worker_mirrored_strategy.ipynb

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@@ -122,7 +122,7 @@
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"\n",
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"The `sagemaker.tensorflow.TensorFlow` estimator handles locating the training container based on the framework version and the job type (Inference or Training), uploading your script to a S3 location and creating a SageMaker training job. Let's call out a couple important parameters here:\n",
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"\n",
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"* `framework_version` is set to `'2.14.1'` to indicate the TensorFlow version we want to use for executing your model training code. This will indicate to SageMaker which DLC should be used. Here's the list of the [available Deep Learning Container Images](https://github.com/aws/deep-learning-containers/blob/master/available_images.md).\n",
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"* `framework_version` is set to `'2.13.0'` to indicate the TensorFlow version we want to use for executing your model training code. This will indicate to SageMaker which DLC should be used. Here's the list of the [available Deep Learning Container Images](https://github.com/aws/deep-learning-containers/blob/master/available_images.md).\n",
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"\n",
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"* `entry_point` is the absolute or relative path to the local Python source file that should be executed as the entry point to training. \n",
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"\n"
@@ -152,7 +152,7 @@
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" role=role,\n",
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" instance_count=instance_count,\n",
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" instance_type=instance_type,\n",
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" framework_version=\"2.14.1\",\n",
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" framework_version=\"2.13.0\",\n",
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" py_version=\"py310\",\n",
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")"
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]
@@ -314,7 +314,7 @@
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" role=role,\n",
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" instance_count=instance_count,\n",
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" instance_type=instance_type,\n",
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" framework_version=\"2.14.1\",\n",
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" framework_version=\"2.13.0\",\n",
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" py_version=\"py310\",\n",
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" distribution={\"multi_worker_mirrored_strategy\": {\"enabled\": True}},\n",
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")"

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