Move the Tensorflow import in coach_launcher.py inside the _save_tf_model function #1652
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ajaykarpur
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Dec 1, 2020
* GluonCV YoloV3 Darknet53 example training and inference with Neo (#1266) * upgrade MNIST experiment notebook to SDK v2 (#1576) * GluonCV YoloV3 Darknet53 example minor fixes (#1582) * Code cell type corrected. Removed empty cell * Unzip datasets if not available in the notebook's folder * fix invalid json in MNIST notetook (#1594) * Kkoppolu inference examples (#1587) * Compilation examples changes for new inference containers Update examples for PyTorch - to use the new inference containers - Use SageMaker 2.x * Clear outputs Clear outputs in the notebook * Fix typo Fix typo in text box * Undo change to iterations in old way Undo change to iterations in old way * Code Review feedback Organize imports Code Review feedback * CR Use new inference containers for both uncompiled and compiled flows. * CR Remove incorrect code comments * Update versions of torch and torchvision Co-authored-by: EC2 Default User <[email protected]> * add template notebook (#1570) * add template notebook * resolve comments * Bump tensorflow (#1574) Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 1.13.1 to 1.15.4. - [Release notes](https://github.com/tensorflow/tensorflow/releases) - [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md) - [Commits](tensorflow/tensorflow@v1.13.1...v1.15.4) Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * mxnet_mnist.ipynb fix (#1597) * Update mxnet_mnist.ipynb Set notebook to default to CPU training * Update mxnet_mnist.ipynb * updated birds dataset download source (#1593) * fix pandas errors in notebooks (#1490) * Refactor the Debugger detect_stalled_training_job_and_stop.ipynb notebook (#1592) * publish BYOC with Debugger notebook * some test change * revert the kernel names in the metadata * fix typos * incorporate feedback * incorporate comments * pin to pysdk v1 * remove installation output logs * refactor the stalled training job notebook * remove unnecessary module imports / minor fix * incorporate feedback * minor fix * fix typo * minor fix * fix unfinished sentence * incorporate feedback * minor fix Co-authored-by: Miyoung Choi <[email protected]> * Make RL training compatible with PyTorch (#1520) * Make RLEstimator() PyTorch compatible & modify cartpole notebook * set use_pytorch to False by default * minor refactor; check in first unit test * indent correction * Verify sagemaker SDK version (#1606) * updating mxnet_mnist notebook (#1588) * updating mxnet_mnist notebook * typo fix * refactoring * refactored mnist.py * updated bucket paths in the notebook for better organization * notebook updated to handle sdk upgrade Co-authored-by: EC2 Default User <[email protected]> Co-authored-by: EC2 Default User <[email protected]> * fixing Model Package ARNs and removing region specific dependency (#1611) * fixing Model Package ARNs and removing region specific dependency * Adding a disclaimer on reference notebooks Co-authored-by: kwwaikar <[email protected]> * Fix: add 'import tensorflow as tf' required by _save_tf_model (#1560) Co-authored-by: Felipe Antunes <[email protected]> * Update xgboost churn neo example for sagemaker v2 (#1591) * Update xgboost churn neo example for sagemaker v2 * Remove use of latest version * Add sagemaker installation command and remove duplicate import * Use sagemaker pysdk v2 * Add setup and cleanup steps * clear output * Revert kernel metadata Co-authored-by: Nikhil Kulkarni <[email protected]> * Add integration tests using Papermill library for RL notebooks. List of notebooks covered in the tests: (#1580) 1. rl_cartpole_coach/rl_cartpole_coach_gymEnv.ipynb 2. rl_cartpole_ray/rl_cartpole_ray_gymEnv.ipynb Co-authored-by: Akash Goel <[email protected]> * Delete KernelExplainerWrapper and remove importing LogitLink and IdentityLink (#1603) * update-neo-mxnet-notebooks (#1625) * update-neo-mxnet-notebooks * refactoring and typo fixes * Add Ground Truth Streaming notebooks (#1617) * Add Ground Truth Streaming notebooks * Made below changes * Replace .format with f-strings * Added pip sagemaker isntall * Download image from public url * Minor comments * Minor f-string updates to chained notebook Co-authored-by: Gopalakrishna, Priyanka <[email protected]> * Added downgrade to SDK 1.72 and edited the text. Verified notebook runs through with no errors. (#1633) * Add SDK version rollback code. (#1634) * Running tests in parallel for RL notebooks. (#1624) Co-authored-by: Akash Goel <[email protected]> * fix: resolve breaking changes of neo container, adding `softmax_label` to `compile_model` (#1635) * Fixes #902 (#1632) * fix probability out of bound * fixed probability out of bound * cleared the notebook output * fix of probabilities out of bound * adding an example for Linear Learner regression use case with abalone dataset and input csv format (#1622) * infra: add PR buildspec (#1642) * add notebook instance buildspec * Update HPO_Analyze_TuningJob_Results.ipynb on where to retrieve a HP job (#1637) * Update HPO_Analyze_TuningJob_Results.ipynb Adding instructions on where to find the hyperparameter jobs needed as input. * Update hyperparameter_tuning/analyze_results/HPO_Analyze_TuningJob_Results.ipynb Co-authored-by: Aaron Markham <[email protected]> * infra: update buildspec (#1649) * update buildspec * terminate early if no notebooks in PR * reformat command * move conditional to build phase as one command * removing object2vec_multilabel_genre_classification.ipynb (#1648) * adding preprocessing tabular data notebooks * incorporating changes * incorporating changes * incorporating changes * incorporating few changes * minor fix to persist sagemaker version * minor fix to persist sagemaker version * removing notebook Co-authored-by: Ajay Karpur <[email protected]> * fix: move the Tensorflow import in coach_launcher.py inside the _save_tf_model fn (#1652) Co-authored-by: Akash Goel <[email protected]> * delete extra common folder inside rl_game_server_autopilot/sagemaker directory (#1653) Co-authored-by: Akash Goel <[email protected]> * Removed pip install, edited for clarity, tested on JupyterLab (#1660) * doc: fix typos in PyTorch CIFAR-10 notebook (#1650) * fix typos in PyTorch CIFAR-10 notebook * deliberately raise error to test PR build * Revert "deliberately raise error to test PR build" This reverts commit 7c2bac3. * Update mm byo (#1663) * Added note that nb won't run in studio, add note about kernel and sdk version testing details * changed kernel metadata back to conda_mxnet_p36 * Removed conda command to install s3fs. (#1659) * change: updated for sagemaker python sdk 2.x (#1667) * min_df was larger than max_df and outside of the acceptable range of 0.0-1.0 (#1601) * min_df was larger than max_df and outside of the acceptable range of 0.0 to 1.0. This gave me an error but changing the min_df to 0.2 or 0.02 resolved the error. It is unclear if the author intended min_df to be 0.2 or 0.02. * Update ntm_20newsgroups_topic_model.ipynb remove output and changed min_df to a likely better default of 0.2 Co-authored-by: Aaron Markham <[email protected]> * Neo pytorch inf1 notebook (#1583) * Add Neo notebook for PT model on Inf1 * Change target to inf1 * resolve comments * Add revert sm version * Add multiple cores instruction and fix revert sagemaker version * polish instructions * one more polish * make sm version at least 2.11.0 * change to upgrade only * remove fixed pytorch version Co-authored-by: EC2 Default User <[email protected]> Co-authored-by: EC2 Default User <[email protected]> Co-authored-by: Aaron Markham <[email protected]> * Update generate_example_data.py (#1077) Added code solution for Bug in the Multinomial lines: theta = np.asarray(theta).astype('float64') theta = theta / np.sum(theta) and lines: topic_word_distribution = np.asarray(topic_word_distribution).astype('float64') topic_word_distribution = topic_word_distribution / np.sum(topic_word_distribution) Co-authored-by: Aaron Markham <[email protected]> * Fix boolean argument parsing (#1681) * Fixed predictions showing as array of False instead of a single True or False value (#1679) * Fixed predictions matched showing as array of False instead of showing whether prediction is correct (True or False). * Fixed predictions matched showing as array of False * Fixed predictions showing as array of False instead of a single True or False * Dev branch (#1688) * Adding new project gpt-2 * Reviewed. Reset Kernel. * made fix to reflect region names in model_package_arns * Minor notebook content rearrangement * fixed region-specific arns * Update README.md Added description for new project 'creative-writing-using-gpt-2-text-generation' under 'using_model_packages' * Update README.md added description for new project 'creative-writing-using-gpt-2-text-generation' under 'aws_marketplace/using_model_packages' Co-authored-by: Alex Ignatov <[email protected]> * fix: use image_uris module for retrieval (#1698) * added autogluon v0.0.14 support, changed the build method (#1640) * added autogluon v0.0.14 support, changed the build method * changed the bash execution Co-authored-by: Eric Johnson <[email protected]> * added data ingestion notebooks (#1602) * added data ingestion notebooks data ingestion notebooks v1 * Added image for Athena and Redshift notebook Added images displayed in two data ingestion notebooks -- Athena and Redshift * Text Data Pre-processing Notebook New notebook added for text data pre-processing, feedback incorporated * Include Data Aggregation to text data ingestion (S3) include the text data aggregation content to the text data ingestion notebook * Modified Data Ingestion Notebooks and Text preprocessing Notebooks Modified all seven (7) data ingestion and text preprocessing notebooks to incorporate feedback * Modified the image data ingestion notebook Added some note to downloading COCO dataset from online resources * updated all the links in the notebooks links to notebooks are changed to relative links; links to videos are removed for now and can be added later. Citations to data sources and existing aws notebooks are added. * modified some links that were not working modified links that's not working (refer to another folder) * Modified 012 for running error Removed a typo in 012 * updated SageMaker SDK, clear output, added data downloading added data downloading to the beginning of each notebook; update SageMaker SDK at the beginning of each notebook; output cleared. * Modified packages used in notebooks modified packages used in 011, 012, 02, 04 and text data pre-processing. Co-authored-by: ZoeMa <[email protected]> Co-authored-by: Talia <[email protected]> Co-authored-by: Aaron Markham <[email protected]> Co-authored-by: Ajay Karpur <[email protected]> * * Add framework_version to SKLearn estimator (#1716) Co-authored-by: Sean Morgan <[email protected]> * Fix autopilot_customer_churn.ipynb notebook for Sagemaker V2 SDK (#1699) * Fix notebook for Sagemaker V2 SDK * revert account change Co-authored-by: Michele Ricciardi <[email protected]> * Notebook fixed and cleaned (#1726) * Notebook fixed and cleaned * Comment reformatted * Fixed notebooks for errors due to syntax change and cleaned notebooks (#1723) * Revert "Fixed notebooks for errors due to syntax change and cleaned notebooks (#1723)" (#1730) This reverts commit e691349. * Revert "Notebook fixed and cleaned (#1726)" (#1732) This reverts commit b68acb4. * Sample notebook fix 2 (#1675) * Reducing the random hpo resource values We've specified the total number of training jobs to be only 20 and the maximum number of parallel jobs to be 2. * Edited the text to be consistent with the new parameter values. With the new parameter values, this notebook now runs without error. * fixed typo fixed a typo * Updated Neo compilation notebook for GluonCV Yolo example (#1638) * Updated Neo compilation notebook for GluonCV Yolo example * Minor fixes to comments and logging Co-authored-by: Eric Johnson <[email protected]> Co-authored-by: Ajay Karpur <[email protected]> * Fixed malformed TensorFlow estimator declaration. (#1628) * Fixed malformed TensorFlow estimator declaration. * Removed extraneous output. Co-authored-by: Eric Johnson <[email protected]> * logx=False plots data as User_Score is <=10 (#1265) logx=True doesn't seem appropriate since User_Score is <=10 the plot shows nothing Co-authored-by: Aaron Markham <[email protected]> Co-authored-by: Ajay Karpur <[email protected]> * Update detect_stalled_training_job_and_stop.ipynb (#1735) * Updated sagemaker attribute configurations for V2 SDK support (#1636) Co-authored-by: Aaron Markham <[email protected]> * Update Batch Transform - breast cancer prediction with high level SDK.ipynb (#1138) Fix a small bug. Before specifying content_type='text/csv' in sm_transformer.transform, I get error that "Loading libsvm data failed with Exception, please ensure data is in libsvm format: <class 'ValueError'>" Co-authored-by: Aaron Markham <[email protected]> * Edit xgboost_customer_churn_studio.ipynb (#1060) Co-authored-by: Aaron Markham <[email protected]> * added a feature selection notebook (#1664) * added a feature selection notebook * addressed comments and renamed files for CI * used model.model_data to index last trained model in s3 * added pip sagemaker>=2.15.0 * add lineage example notebooks (#90) * add example notebook skeleton for fairness and explainability (#91) Co-authored-by: Xinyu Liu <[email protected]> Co-authored-by: Bartek Pawlik <[email protected]> Co-authored-by: Dana Benson <[email protected]> Co-authored-by: Krishna Chaitanya Koppolu <[email protected]> Co-authored-by: EC2 Default User <[email protected]> Co-authored-by: Aaron Markham <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: IvyBazan <[email protected]> Co-authored-by: chenonit <[email protected]> Co-authored-by: Valentin Flunkert <[email protected]> Co-authored-by: Miyoung <[email protected]> Co-authored-by: Miyoung Choi <[email protected]> Co-authored-by: Anna Luo <[email protected]> Co-authored-by: Pratyush Bagaria <[email protected]> Co-authored-by: EC2 Default User <[email protected]> Co-authored-by: EC2 Default User <[email protected]> Co-authored-by: Kanchan Waikar <[email protected]> Co-authored-by: kwwaikar <[email protected]> Co-authored-by: Felipe Antunes <[email protected]> Co-authored-by: Felipe Antunes <[email protected]> Co-authored-by: Nikhil Kulkarni <[email protected]> Co-authored-by: Nikhil Kulkarni <[email protected]> Co-authored-by: Akash Goel <[email protected]> Co-authored-by: Akash Goel <[email protected]> Co-authored-by: Somnath Sarkar <[email protected]> Co-authored-by: gopalakp <[email protected]> Co-authored-by: Gopalakrishna, Priyanka <[email protected]> Co-authored-by: Laren-AWS <[email protected]> Co-authored-by: Chuyang <[email protected]> Co-authored-by: Hongshan Li <[email protected]> Co-authored-by: moagaber <[email protected]> Co-authored-by: Roald Bradley Severtson <[email protected]> Co-authored-by: Paul B <[email protected]> Co-authored-by: Eric Slesar <[email protected]> Co-authored-by: PaulC-AWS <[email protected]> Co-authored-by: Corvus LEE <[email protected]> Co-authored-by: aserfass <[email protected]> Co-authored-by: minlu1021 <[email protected]> Co-authored-by: EC2 Default User <[email protected]> Co-authored-by: EC2 Default User <[email protected]> Co-authored-by: hbono2019 <[email protected]> Co-authored-by: H. Furkan Bozkurt <[email protected]> Co-authored-by: Eitan Sela <[email protected]> Co-authored-by: awsmrud <[email protected]> Co-authored-by: Alex Ignatov <[email protected]> Co-authored-by: Eric Johnson <[email protected]> Co-authored-by: Yohei Nakayama <[email protected]> Co-authored-by: ZoeMa <[email protected]> Co-authored-by: ZoeMa <[email protected]> Co-authored-by: Talia <[email protected]> Co-authored-by: Sean Morgan <[email protected]> Co-authored-by: Sean Morgan <[email protected]> Co-authored-by: Michele Ricciardi <[email protected]> Co-authored-by: Michele Ricciardi <[email protected]> Co-authored-by: vivekmadan2 <[email protected]> Co-authored-by: playphil <[email protected]> Co-authored-by: Gili Nachum <[email protected]> Co-authored-by: sdoyle <[email protected]> Co-authored-by: fyang1234 <[email protected]> Co-authored-by: annbech <[email protected]> Co-authored-by: Xinyu <[email protected]> Co-authored-by: Xinyu Liu <[email protected]>
ajaykarpur
added a commit
that referenced
this pull request
Dec 1, 2020
* GluonCV YoloV3 Darknet53 example training and inference with Neo (#1266) * upgrade MNIST experiment notebook to SDK v2 (#1576) * GluonCV YoloV3 Darknet53 example minor fixes (#1582) * Code cell type corrected. Removed empty cell * Unzip datasets if not available in the notebook's folder * fix invalid json in MNIST notetook (#1594) * Kkoppolu inference examples (#1587) * Compilation examples changes for new inference containers Update examples for PyTorch - to use the new inference containers - Use SageMaker 2.x * Clear outputs Clear outputs in the notebook * Fix typo Fix typo in text box * Undo change to iterations in old way Undo change to iterations in old way * Code Review feedback Organize imports Code Review feedback * CR Use new inference containers for both uncompiled and compiled flows. * CR Remove incorrect code comments * Update versions of torch and torchvision Co-authored-by: EC2 Default User <[email protected]> * add template notebook (#1570) * add template notebook * resolve comments * Bump tensorflow (#1574) Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 1.13.1 to 1.15.4. - [Release notes](https://github.com/tensorflow/tensorflow/releases) - [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md) - [Commits](tensorflow/tensorflow@v1.13.1...v1.15.4) Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * mxnet_mnist.ipynb fix (#1597) * Update mxnet_mnist.ipynb Set notebook to default to CPU training * Update mxnet_mnist.ipynb * updated birds dataset download source (#1593) * fix pandas errors in notebooks (#1490) * Refactor the Debugger detect_stalled_training_job_and_stop.ipynb notebook (#1592) * publish BYOC with Debugger notebook * some test change * revert the kernel names in the metadata * fix typos * incorporate feedback * incorporate comments * pin to pysdk v1 * remove installation output logs * refactor the stalled training job notebook * remove unnecessary module imports / minor fix * incorporate feedback * minor fix * fix typo * minor fix * fix unfinished sentence * incorporate feedback * minor fix Co-authored-by: Miyoung Choi <[email protected]> * Make RL training compatible with PyTorch (#1520) * Make RLEstimator() PyTorch compatible & modify cartpole notebook * set use_pytorch to False by default * minor refactor; check in first unit test * indent correction * Verify sagemaker SDK version (#1606) * updating mxnet_mnist notebook (#1588) * updating mxnet_mnist notebook * typo fix * refactoring * refactored mnist.py * updated bucket paths in the notebook for better organization * notebook updated to handle sdk upgrade Co-authored-by: EC2 Default User <[email protected]> Co-authored-by: EC2 Default User <[email protected]> * fixing Model Package ARNs and removing region specific dependency (#1611) * fixing Model Package ARNs and removing region specific dependency * Adding a disclaimer on reference notebooks Co-authored-by: kwwaikar <[email protected]> * Fix: add 'import tensorflow as tf' required by _save_tf_model (#1560) Co-authored-by: Felipe Antunes <[email protected]> * Update xgboost churn neo example for sagemaker v2 (#1591) * Update xgboost churn neo example for sagemaker v2 * Remove use of latest version * Add sagemaker installation command and remove duplicate import * Use sagemaker pysdk v2 * Add setup and cleanup steps * clear output * Revert kernel metadata Co-authored-by: Nikhil Kulkarni <[email protected]> * Add integration tests using Papermill library for RL notebooks. List of notebooks covered in the tests: (#1580) 1. rl_cartpole_coach/rl_cartpole_coach_gymEnv.ipynb 2. rl_cartpole_ray/rl_cartpole_ray_gymEnv.ipynb Co-authored-by: Akash Goel <[email protected]> * Delete KernelExplainerWrapper and remove importing LogitLink and IdentityLink (#1603) * update-neo-mxnet-notebooks (#1625) * update-neo-mxnet-notebooks * refactoring and typo fixes * Add Ground Truth Streaming notebooks (#1617) * Add Ground Truth Streaming notebooks * Made below changes * Replace .format with f-strings * Added pip sagemaker isntall * Download image from public url * Minor comments * Minor f-string updates to chained notebook Co-authored-by: Gopalakrishna, Priyanka <[email protected]> * Added downgrade to SDK 1.72 and edited the text. Verified notebook runs through with no errors. (#1633) * Add SDK version rollback code. (#1634) * Running tests in parallel for RL notebooks. (#1624) Co-authored-by: Akash Goel <[email protected]> * fix: resolve breaking changes of neo container, adding `softmax_label` to `compile_model` (#1635) * Fixes #902 (#1632) * fix probability out of bound * fixed probability out of bound * cleared the notebook output * fix of probabilities out of bound * adding an example for Linear Learner regression use case with abalone dataset and input csv format (#1622) * infra: add PR buildspec (#1642) * add notebook instance buildspec * Update HPO_Analyze_TuningJob_Results.ipynb on where to retrieve a HP job (#1637) * Update HPO_Analyze_TuningJob_Results.ipynb Adding instructions on where to find the hyperparameter jobs needed as input. * Update hyperparameter_tuning/analyze_results/HPO_Analyze_TuningJob_Results.ipynb Co-authored-by: Aaron Markham <[email protected]> * infra: update buildspec (#1649) * update buildspec * terminate early if no notebooks in PR * reformat command * move conditional to build phase as one command * removing object2vec_multilabel_genre_classification.ipynb (#1648) * adding preprocessing tabular data notebooks * incorporating changes * incorporating changes * incorporating changes * incorporating few changes * minor fix to persist sagemaker version * minor fix to persist sagemaker version * removing notebook Co-authored-by: Ajay Karpur <[email protected]> * fix: move the Tensorflow import in coach_launcher.py inside the _save_tf_model fn (#1652) Co-authored-by: Akash Goel <[email protected]> * delete extra common folder inside rl_game_server_autopilot/sagemaker directory (#1653) Co-authored-by: Akash Goel <[email protected]> * Removed pip install, edited for clarity, tested on JupyterLab (#1660) * doc: fix typos in PyTorch CIFAR-10 notebook (#1650) * fix typos in PyTorch CIFAR-10 notebook * deliberately raise error to test PR build * Revert "deliberately raise error to test PR build" This reverts commit 7c2bac3. * Update mm byo (#1663) * Added note that nb won't run in studio, add note about kernel and sdk version testing details * changed kernel metadata back to conda_mxnet_p36 * Removed conda command to install s3fs. (#1659) * change: updated for sagemaker python sdk 2.x (#1667) * min_df was larger than max_df and outside of the acceptable range of 0.0-1.0 (#1601) * min_df was larger than max_df and outside of the acceptable range of 0.0 to 1.0. This gave me an error but changing the min_df to 0.2 or 0.02 resolved the error. It is unclear if the author intended min_df to be 0.2 or 0.02. * Update ntm_20newsgroups_topic_model.ipynb remove output and changed min_df to a likely better default of 0.2 Co-authored-by: Aaron Markham <[email protected]> * Neo pytorch inf1 notebook (#1583) * Add Neo notebook for PT model on Inf1 * Change target to inf1 * resolve comments * Add revert sm version * Add multiple cores instruction and fix revert sagemaker version * polish instructions * one more polish * make sm version at least 2.11.0 * change to upgrade only * remove fixed pytorch version Co-authored-by: EC2 Default User <[email protected]> Co-authored-by: EC2 Default User <[email protected]> Co-authored-by: Aaron Markham <[email protected]> * Update generate_example_data.py (#1077) Added code solution for Bug in the Multinomial lines: theta = np.asarray(theta).astype('float64') theta = theta / np.sum(theta) and lines: topic_word_distribution = np.asarray(topic_word_distribution).astype('float64') topic_word_distribution = topic_word_distribution / np.sum(topic_word_distribution) Co-authored-by: Aaron Markham <[email protected]> * Fix boolean argument parsing (#1681) * Fixed predictions showing as array of False instead of a single True or False value (#1679) * Fixed predictions matched showing as array of False instead of showing whether prediction is correct (True or False). * Fixed predictions matched showing as array of False * Fixed predictions showing as array of False instead of a single True or False * Dev branch (#1688) * Adding new project gpt-2 * Reviewed. Reset Kernel. * made fix to reflect region names in model_package_arns * Minor notebook content rearrangement * fixed region-specific arns * Update README.md Added description for new project 'creative-writing-using-gpt-2-text-generation' under 'using_model_packages' * Update README.md added description for new project 'creative-writing-using-gpt-2-text-generation' under 'aws_marketplace/using_model_packages' Co-authored-by: Alex Ignatov <[email protected]> * fix: use image_uris module for retrieval (#1698) * added autogluon v0.0.14 support, changed the build method (#1640) * added autogluon v0.0.14 support, changed the build method * changed the bash execution Co-authored-by: Eric Johnson <[email protected]> * added data ingestion notebooks (#1602) * added data ingestion notebooks data ingestion notebooks v1 * Added image for Athena and Redshift notebook Added images displayed in two data ingestion notebooks -- Athena and Redshift * Text Data Pre-processing Notebook New notebook added for text data pre-processing, feedback incorporated * Include Data Aggregation to text data ingestion (S3) include the text data aggregation content to the text data ingestion notebook * Modified Data Ingestion Notebooks and Text preprocessing Notebooks Modified all seven (7) data ingestion and text preprocessing notebooks to incorporate feedback * Modified the image data ingestion notebook Added some note to downloading COCO dataset from online resources * updated all the links in the notebooks links to notebooks are changed to relative links; links to videos are removed for now and can be added later. Citations to data sources and existing aws notebooks are added. * modified some links that were not working modified links that's not working (refer to another folder) * Modified 012 for running error Removed a typo in 012 * updated SageMaker SDK, clear output, added data downloading added data downloading to the beginning of each notebook; update SageMaker SDK at the beginning of each notebook; output cleared. * Modified packages used in notebooks modified packages used in 011, 012, 02, 04 and text data pre-processing. Co-authored-by: ZoeMa <[email protected]> Co-authored-by: Talia <[email protected]> Co-authored-by: Aaron Markham <[email protected]> Co-authored-by: Ajay Karpur <[email protected]> * * Add framework_version to SKLearn estimator (#1716) Co-authored-by: Sean Morgan <[email protected]> * Fix autopilot_customer_churn.ipynb notebook for Sagemaker V2 SDK (#1699) * Fix notebook for Sagemaker V2 SDK * revert account change Co-authored-by: Michele Ricciardi <[email protected]> * Notebook fixed and cleaned (#1726) * Notebook fixed and cleaned * Comment reformatted * Fixed notebooks for errors due to syntax change and cleaned notebooks (#1723) * Revert "Fixed notebooks for errors due to syntax change and cleaned notebooks (#1723)" (#1730) This reverts commit e691349. * Revert "Notebook fixed and cleaned (#1726)" (#1732) This reverts commit b68acb4. * Sample notebook fix 2 (#1675) * Reducing the random hpo resource values We've specified the total number of training jobs to be only 20 and the maximum number of parallel jobs to be 2. * Edited the text to be consistent with the new parameter values. With the new parameter values, this notebook now runs without error. * fixed typo fixed a typo * Updated Neo compilation notebook for GluonCV Yolo example (#1638) * Updated Neo compilation notebook for GluonCV Yolo example * Minor fixes to comments and logging Co-authored-by: Eric Johnson <[email protected]> Co-authored-by: Ajay Karpur <[email protected]> * Fixed malformed TensorFlow estimator declaration. (#1628) * Fixed malformed TensorFlow estimator declaration. * Removed extraneous output. Co-authored-by: Eric Johnson <[email protected]> * logx=False plots data as User_Score is <=10 (#1265) logx=True doesn't seem appropriate since User_Score is <=10 the plot shows nothing Co-authored-by: Aaron Markham <[email protected]> Co-authored-by: Ajay Karpur <[email protected]> * Update detect_stalled_training_job_and_stop.ipynb (#1735) * Updated sagemaker attribute configurations for V2 SDK support (#1636) Co-authored-by: Aaron Markham <[email protected]> * Update Batch Transform - breast cancer prediction with high level SDK.ipynb (#1138) Fix a small bug. Before specifying content_type='text/csv' in sm_transformer.transform, I get error that "Loading libsvm data failed with Exception, please ensure data is in libsvm format: <class 'ValueError'>" Co-authored-by: Aaron Markham <[email protected]> * Edit xgboost_customer_churn_studio.ipynb (#1060) Co-authored-by: Aaron Markham <[email protected]> * added a feature selection notebook (#1664) * added a feature selection notebook * addressed comments and renamed files for CI * used model.model_data to index last trained model in s3 * added pip sagemaker>=2.15.0 * add lineage example notebooks (#90) * add example notebook skeleton for fairness and explainability (#91) Co-authored-by: Xinyu Liu <[email protected]> Co-authored-by: Bartek Pawlik <[email protected]> Co-authored-by: Dana Benson <[email protected]> Co-authored-by: Krishna Chaitanya Koppolu <[email protected]> Co-authored-by: EC2 Default User <[email protected]> Co-authored-by: Aaron Markham <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: IvyBazan <[email protected]> Co-authored-by: chenonit <[email protected]> Co-authored-by: Valentin Flunkert <[email protected]> Co-authored-by: Miyoung <[email protected]> Co-authored-by: Miyoung Choi <[email protected]> Co-authored-by: Anna Luo <[email protected]> Co-authored-by: Pratyush Bagaria <[email protected]> Co-authored-by: EC2 Default User <[email protected]> Co-authored-by: EC2 Default User <[email protected]> Co-authored-by: Kanchan Waikar <[email protected]> Co-authored-by: kwwaikar <[email protected]> Co-authored-by: Felipe Antunes <[email protected]> Co-authored-by: Felipe Antunes <[email protected]> Co-authored-by: Nikhil Kulkarni <[email protected]> Co-authored-by: Nikhil Kulkarni <[email protected]> Co-authored-by: Akash Goel <[email protected]> Co-authored-by: Akash Goel <[email protected]> Co-authored-by: Somnath Sarkar <[email protected]> Co-authored-by: gopalakp <[email protected]> Co-authored-by: Gopalakrishna, Priyanka <[email protected]> Co-authored-by: Laren-AWS <[email protected]> Co-authored-by: Chuyang <[email protected]> Co-authored-by: Hongshan Li <[email protected]> Co-authored-by: moagaber <[email protected]> Co-authored-by: Roald Bradley Severtson <[email protected]> Co-authored-by: Paul B <[email protected]> Co-authored-by: Eric Slesar <[email protected]> Co-authored-by: PaulC-AWS <[email protected]> Co-authored-by: Corvus LEE <[email protected]> Co-authored-by: aserfass <[email protected]> Co-authored-by: minlu1021 <[email protected]> Co-authored-by: EC2 Default User <[email protected]> Co-authored-by: EC2 Default User <[email protected]> Co-authored-by: hbono2019 <[email protected]> Co-authored-by: H. Furkan Bozkurt <[email protected]> Co-authored-by: Eitan Sela <[email protected]> Co-authored-by: awsmrud <[email protected]> Co-authored-by: Alex Ignatov <[email protected]> Co-authored-by: Eric Johnson <[email protected]> Co-authored-by: Yohei Nakayama <[email protected]> Co-authored-by: ZoeMa <[email protected]> Co-authored-by: ZoeMa <[email protected]> Co-authored-by: Talia <[email protected]> Co-authored-by: Sean Morgan <[email protected]> Co-authored-by: Sean Morgan <[email protected]> Co-authored-by: Michele Ricciardi <[email protected]> Co-authored-by: Michele Ricciardi <[email protected]> Co-authored-by: vivekmadan2 <[email protected]> Co-authored-by: playphil <[email protected]> Co-authored-by: Gili Nachum <[email protected]> Co-authored-by: sdoyle <[email protected]> Co-authored-by: fyang1234 <[email protected]> Co-authored-by: annbech <[email protected]> Co-authored-by: Xinyu <[email protected]> Co-authored-by: Xinyu Liu <[email protected]>
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Description of changes:
This change will fix "ImportError: module 'tensorflow' not found" for Coach RL notebooks.
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