Updated torch version to 1.13 and torchvision version to 0.14, previous versions were causing compile errors
Co-authored-by: atqy <95724753+atqy@users.noreply.github.com>
* Added notebook and inference code to compile and benchmark a HuggingFace BERT model for Inf1
* Added missing torch import and refformated notebook with black-nb
* Addressed all comments from PR review
* Added details regarding return_dict parameter, and cleared pygmentize outputs
Co-authored-by: EC2 Default User <ec2-user@ip-172-16-83-106.eu-west-1.compute.internal>
Co-authored-by: EC2 Default User <ec2-user@ip-172-16-58-86.eu-west-1.compute.internal>
Co-authored-by: Shreya Pandit <shreya.pandit25@gmail.com>
* remove denied dataset and restore neo notebooks
* remove specific version of framework
* remove pytorch_vgg19_bn notebook for now
* remove pytorch vgg19 in non-studio notebooks
* restore existing notebook
* Address comments
* reset kernel of tensorflow_distributed_mnist_neo.ipynb to conda_tensorflow2_p36
* reset kernel of tensorflow_distributed_mnist_neo_inf1.ipynb to conda_tensorflow2_p36
* reset kernel of sagemaker-neo-tf-unet.ipynb to conda_tensorflow2_p36
* reset kernel of sagemaker-spark-processing.ipynb to pysparkkernel
* reset kernel of feature_transformation_with_sagemaker_processing.ipynb to pysparkkernel
* reset hyperparams
* reset kernel of sagemaker-spark-processing.ipynb to pysparkkernel
* reset kernel of hpo_tensorflow2_mnist.ipynb to conda_tensorflow2_p36
* reset kernel of hpo_bring_your_own_keras_container.ipynb to conda_tensorflow2_p36
* reset kernel of hpo_pytorch_mnist.ipynb to conda_pytorch_p36
* reset kernel of hpo_image_classification_warmstart.ipynb to conda_mxnet_p36
* reset hyperparams
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* reset kernel of hpo_pytorch_mnist.ipynb to conda_pytorch_p36
* reset kernel of HPO_Analyze_TuningJob_Results.ipynb to conda_mxnet_p36
* reset kernel of hpo_mxnet_mnist.ipynb to conda_mxnet_p36
* reset kernel of hpo_tensorflow_mnist.ipynb to conda_tensorflow2_p36
* reset hyperparams
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* reset kernel of hpo_pytorch_mnist.ipynb to conda_pytorch_p36
* reset kernel of tensorflow-serving-tfrecord.cli.ipynb to conda_tensorflow2_p36
* reset kernel of tensorflow-serving-tfrecord-python-sdk.ipynb to conda_tensorflow2_p36
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* reset kernel of tensorflow-serving-jpg-cli.ipynb to conda_tensorflow2_p36
* reset kernel of working-with-tfrecords.ipynb to conda_tensorflow2_p36
* reset kernel of tensorflow-serving-cifar10-python-sdk.ipynb to conda_tensorflow2_p36
* reset kernel of 04c_pytorch_training.ipynb to conda_pytorch_p36
* reset hyperparams
* reset kernel of hpo_tensorflow2_mnist.ipynb to conda_tensorflow2_p36
* reset kernel of 03c_pytorch_preprocessing.ipynb to conda_pytorch_p36
* reset kernel of 03a_builtin_preprocessing.ipynb to conda_mxnet_p36
* reset kernel of pt-resnet-profiling-multi-gpu-multi-node.ipynb to conda_pytorch_p36
* reset kernel of pt-resnet-profiling-single-gpu-single-node.ipynb to conda_pytorch_p36
* reset hyperparams
* reset kernel of pt-resnet-profiling-multi-gpu-single-node.ipynb to conda_pytorch_p36
* reset kernel of mxnet-spot-training-with-sagemakerdebugger.ipynb to conda_mxnet_p36
* reset kernel of tf2-keras-default-container.ipynb to conda_tensorflow2_p36
* reset kernel of tf2-keras-custom-container.ipynb to conda_tensorflow2_p36
* reset kernel of tf-mnist-builtin-rule.ipynb to conda_tensorflow2_p36
* reset hyperparams
* reset kernel of tf-resnet-profiling-single-gpu-single-node.ipynb to conda_tensorflow2_p36
* reset kernel of tf-resnet-profiling-multi-gpu-multi-node.ipynb to conda_tensorflow2_p36
* reset kernel of tf-resnet-profiling-multi-gpu-multi-node-boto3.ipynb to conda_tensorflow2_p36
* reset kernel of iterative_model_pruning_resnet.ipynb to conda_mxnet_p36
* reset kernel of iterative_model_pruning_alexnet.ipynb to conda_mxnet_p36
* reset hyperparams
* reset kernel of pytorch_byoc_smdebug.ipynb to conda_pytorch_p36
* reset kernel of tf-keras-custom-rule.ipynb to conda_tensorflow2_p36
* reset kernel of detect_stalled_training_job_and_actions.ipynb to conda_tensorflow2_p36
* reset kernel of tf-mnist-stop-training-job.ipynb to conda_tensorflow2_p36
* reset kernel of sagemaker_edge_example.ipynb to conda_tensorflow2_p36
* reset kernel of object_detection_birds.ipynb to conda_mxnet_p36
* reset kernel of Image-classification-fulltraining-highlevel.ipynb to conda_mxnet_p36
* reset kernel of tensorflow_serving_pretrained_model_elastic_inference.ipynb to conda_tensorflow2_p36
* reset kernel of tensorflow_script_mode_quickstart.ipynb to conda_tensorflow2_p36
* reset kernel of tensorflow_script_mode_training_and_serving.ipynb to conda_tensorflow2_p36
* reset hyperparams
* reset hyperparams
* reset kernel of mxnet_mnist_horovod.ipynb to conda_mxnet_p36
* reset kernel of tensorflow_keras_CIFAR10.ipynb to conda_tensorflow2_p36
* reset kernel of tensorflow_serving_container.ipynb to conda_tensorflow2_p36
* reset kernel of tensorflow_moving_from_framework_mode_to_script_mode.ipynb to conda_tensorflow2_p36
* reset kernel of Bring Your Own DL Framework to Amazon Sagemaker with Model Server for Apache MXNet's (MMS) BYO container.ipynb to conda_mxnet_p36
* reset hyperparams
* reset kernel of pytorch_local_mode_cifar10.ipynb to conda_pytorch_p36
* reset kernel of tf-eager-sm-scriptmode.ipynb to conda_tensorflow2_p36
* reset kernel of managed_spot_training_tensorflow_estimator.ipynb to conda_tensorflow2_p36
* reset kernel of pytorch_mnist_elastic_inference.ipynb to conda_pytorch_p36
* reset kernel of pytorch_mnist.ipynb to conda_pytorch_p36
* reset hyperparams
* reset kernel of tensorflow_script_mode_using_shell_commands.ipynb to conda_tensorflow2_p36
* reset kernel of tensorflow_script_mode_pipe_mode.ipynb to conda_tensorflow2_p36
* reset kernel of tensorflow_script_mode_horovod.ipynb to conda_tensorflow2_p36
* reset kernel of sparkml_serving_emr_mleap_abalone.ipynb to pysparkkernel
* reset kernel of tensorflow_bring_your_own.ipynb to conda_tensorflow2_p36
* reset hyperparams
* reset kernel of mask-rcnn-experiment-trials.ipynb to conda_tensorflow2_p36
* reset kernel of mask-rcnn-inference.ipynb to conda_tensorflow2_p36
* reset kernel of mask-rcnn-fsx.ipynb to conda_tensorflow2_p36
* reset kernel of mask-rcnn-scriptmode-efs.ipynb to conda_tensorflow2_p36
* reset kernel of mask-rcnn-s3.ipynb to conda_tensorflow2_p36
* reset kernel of mask-rcnn-efs.ipynb to conda_tensorflow2_p36
* reset kernel of mask-rcnn-scriptmode-experiment-trials.ipynb to conda_tensorflow2_p36
* reset kernel of mask-rcnn-scriptmode-s3.ipynb to conda_tensorflow2_p36
* reset kernel of mask-rcnn-scriptmode-fsx.ipynb to conda_tensorflow2_p36
* reset kernel of unity_mlagents_learn.ipynb to conda_tensorflow2_p36
* reset kernel of pytorch_multi_model_endpoint.ipynb to conda_pytorch_p36
* reset kernel of tensorflow_BYOM_iris.ipynb to conda_tensorflow2_p36
* reset kernel of tensorflow_smmodelparallel_mnist.ipynb to conda_tensorflow2_p36
* reset kernel of tensorflow2_smdataparallel_maskrcnn_demo.ipynb to conda_tensorflow2_p36
* reset kernel of tensorflow2_smdataparallel_bert_demo.ipynb to conda_tensorflow2_p36
* reset kernel of infer_tensorflow.ipynb to conda_tensorflow2_p36
* reset kernel of tensorflow2_smdataparallel_mnist_demo.ipynb to conda_tensorflow2_p36
* reset kernel of smp_bert_tutorial.ipynb to conda_pytorch_p36
* reset kernel of pytorch_smmodelparallel_mnist.ipynb to conda_pytorch_p36
* reset kernel of pytorch_smdataparallel_maskrcnn_demo.ipynb to conda_pytorch_p36
* reset kernel of tensorflow_bring_your_own.ipynb to conda_tensorflow2_p36
* reset kernel of mxnet_onnx_ei.ipynb to conda_mxnet_p36
* reset kernel of pytorch_cnn_cifar10.ipynb to conda_pytorch_p36
* reset kernel of mxnet_sentiment_analysis_with_gluon.ipynb to conda_mxnet_p36
* reset kernel of mxnet_mnist_with_batch_transform.ipynb to conda_mxnet_p36
* reset hyperparams
* reset kernel of tensorflow_mnist.ipynb to conda_tensorflow2_p36
* reset kernel of keras_pipe_mode_horovod_cifar10.ipynb to conda_tensorflow2_p36
* reset kernel of gluoncv_ssd_mobilenet_neo_studio.ipynb to conda_mxnet_p36
* reset kernel of tensorflow_distributed_mnist_neo_studio.ipynb to conda_tensorflow2_p36
* reset kernel of Image-classification-fulltraining-highlevel-neo-studio.ipynb to conda_mxnet_p36
* reset hyperparams
* reset kernel of pytorch_torchvision_neo_studio.ipynb to conda_pytorch_p36
* reset kernel of tensorflow_distributed_mnist_neo_inf1_studio.ipynb to conda_tensorflow2_p36
* reset kernel of pytorch-vgg19-bn-studio.ipynb to conda_pytorch_p36
* reset kernel of sagemaker-neo-tf-unet.ipynb to conda_tensorflow2_p36
* reset kernel of Image-classification-transfer-learning-highlevel.ipynb to conda_mxnet_p36
* reset hyperparams
* reset kernel of Image-classification-lst-format-highlevel.ipynb to conda_mxnet_p36
* reset kernel of Image-classification-lst-format.ipynb to conda_mxnet_p36
* reset kernel of Image-classification-transfer-learning.ipynb to conda_mxnet_p36
* reset kernel of Image-classification-fulltraining-highlevel.ipynb to conda_mxnet_p36
* reset kernel of Image-classification-fulltraining.ipynb to conda_mxnet_p36
* reset hyperparams
* reset kernel of tf-mnist-builtin-rule.ipynb to conda_tensorflow2_p36
* reset kernel of mxnet-realtime-analysis.ipynb to conda_mxnet_p36
* reset kernel of mnist-tensor-plot.ipynb to conda_mxnet_p36
* reset kernel of mnist_tensor_analysis.ipynb to conda_mxnet_p36
* reset hyperparams
Zhaoqi