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Upgrade the TF2 version to 2.4.1 and also update the py_version to 3.7
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3 files changed

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-8
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3 files changed

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training/distributed_training/tensorflow/data_parallel/bert/tensorflow2_smdataparallel_bert_demo.ipynb

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@@ -244,8 +244,8 @@
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" role=role,\n",
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" image_uri=docker_image,\n",
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" source_dir='deep-learning-models/models/nlp',\n",
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" framework_version='2.3.1',\n",
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" py_version='py3',\n",
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" framework_version='2.4.1',\n",
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" py_version='py37',\n",
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" instance_count=instance_count,\n",
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" instance_type=instance_type,\n",
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" sagemaker_session=sagemaker_session,\n",
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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}

training/distributed_training/tensorflow/data_parallel/maskrcnn/tensorflow2_smdataparallel_maskrcnn_demo.ipynb

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@@ -238,8 +238,8 @@
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" role=role,\n",
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" image_uri=docker_image,\n",
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" source_dir='.',\n",
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" framework_version='2.3.1',\n",
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" py_version='py3',\n",
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" framework_version='2.4.1',\n",
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" py_version='py37',\n",
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" instance_count=instance_count,\n",
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" instance_type=instance_type,\n",
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" sagemaker_session=sagemaker_session,\n",
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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}

training/distributed_training/tensorflow/data_parallel/mnist/tensorflow2_smdataparallel_mnist_demo.ipynb

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@@ -104,7 +104,7 @@
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" entry_point='train_tensorflow_smdataparallel_mnist.py',\n",
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" role=role,\n",
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" py_version='py37',\n",
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" framework_version='2.3.1',\n",
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" framework_version='2.4.1',\n",
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" # For training with multinode distributed training, set this count. Example: 2\n",
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" instance_count=2,\n",
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" # For training with p3dn instance use - ml.p3dn.24xlarge, with p4dn instance use - ml.p4d.24xlarge\n",
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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}

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