{"id":14958853,"url":"https://github.com/novasush/parallelization-with-tfds","last_synced_at":"2026-02-14T21:31:06.134Z","repository":{"id":129487998,"uuid":"245554622","full_name":"novasush/Parallelization-with-TFDS","owner":"novasush","description":"We are going to use CPU for Extract , Transform and Load, and GPU for training model parallelly","archived":false,"fork":false,"pushed_at":"2020-03-09T14:58:03.000Z","size":23,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-07-25T04:09:31.205Z","etag":null,"topics":["tensorflow","tensorflow-data-pipeline","tensorflow-dataset","tensorflow-dataset-api","tensorflow-datasets","tensorflow-examples","tensorflow-experiments","tensorflow-models","tensorflow-tutorials","tensorflow2"],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/novasush.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-03-07T02:29:57.000Z","updated_at":"2024-12-03T01:05:13.000Z","dependencies_parsed_at":"2023-04-18T22:02:55.651Z","dependency_job_id":null,"html_url":"https://github.com/novasush/Parallelization-with-TFDS","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/novasush/Parallelization-with-TFDS","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/novasush%2FParallelization-with-TFDS","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/novasush%2FParallelization-with-TFDS/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/novasush%2FParallelization-with-TFDS/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/novasush%2FParallelization-with-TFDS/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/novasush","download_url":"https://codeload.github.com/novasush/Parallelization-with-TFDS/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/novasush%2FParallelization-with-TFDS/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279002685,"owners_count":26083442,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-10T02:00:06.843Z","response_time":62,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["tensorflow","tensorflow-data-pipeline","tensorflow-dataset","tensorflow-dataset-api","tensorflow-datasets","tensorflow-examples","tensorflow-experiments","tensorflow-models","tensorflow-tutorials","tensorflow2"],"created_at":"2024-09-24T13:18:24.034Z","updated_at":"2025-10-10T04:16:44.011Z","avatar_url":"https://github.com/novasush.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# ETL data on CPU and simultaneously Training model on GPU using TFDS\n### We are going to use CPU for Extract , Transform and Load data from Tensorflow Dataset, and parallelly GPU for training model parallelly.\n\n## The code is available for the same in notebook file present in this notebook.\n\n* This code will not work on Google Colab as you cannot use both cpu and gpu in colab.\n* Make sure you are running this code on Machine containing both CPU and GPU and tensorflow with GPU support. You can find tensorflow gpu installation documentation [here](https://towardsdatascience.com/how-to-install-tensorflow-gpu-on-ubuntu-18-04-1c1d2d6d6fd2).\n* If you are getting \n```python\nValueError: No data provided for \"input_1\". Need data for each key in: ['input_1']\n```\nThen you are either running code on google colab or on a machine which has either cpu or gpu only.\n\nYou can also refer my blog from [here](https://medium.com/@novasush/data-pipelining-for-effective-use-of-cpu-and-gpu-with-tensorflow-and-tfds-3c9cad39a03e).","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnovasush%2Fparallelization-with-tfds","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnovasush%2Fparallelization-with-tfds","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnovasush%2Fparallelization-with-tfds/lists"}