{"id":27595945,"url":"https://github.com/chagmgang/how_to_deploy_tensorflow","last_synced_at":"2026-04-28T16:01:56.724Z","repository":{"id":95666862,"uuid":"150024373","full_name":"chagmgang/how_to_deploy_tensorflow","owner":"chagmgang","description":null,"archived":false,"fork":false,"pushed_at":"2018-10-07T04:48:11.000Z","size":90885,"stargazers_count":4,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-04-22T12:37:40.663Z","etag":null,"topics":["docker","flask","seq2seq","tensorflow","tensorflow-serving","tf-serving"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/chagmgang.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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,"zenodo":null}},"created_at":"2018-09-23T20:49:18.000Z","updated_at":"2019-02-26T07:42:51.000Z","dependencies_parsed_at":"2023-03-24T03:03:17.673Z","dependency_job_id":null,"html_url":"https://github.com/chagmgang/how_to_deploy_tensorflow","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/chagmgang/how_to_deploy_tensorflow","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/chagmgang%2Fhow_to_deploy_tensorflow","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/chagmgang%2Fhow_to_deploy_tensorflow/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/chagmgang%2Fhow_to_deploy_tensorflow/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/chagmgang%2Fhow_to_deploy_tensorflow/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/chagmgang","download_url":"https://codeload.github.com/chagmgang/how_to_deploy_tensorflow/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/chagmgang%2Fhow_to_deploy_tensorflow/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32387923,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-28T14:34:11.604Z","status":"ssl_error","status_checked_at":"2026-04-28T14:32:37.009Z","response_time":56,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["docker","flask","seq2seq","tensorflow","tensorflow-serving","tf-serving"],"created_at":"2025-04-22T12:37:35.391Z","updated_at":"2026-04-28T16:01:56.719Z","avatar_url":"https://github.com/chagmgang.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# how_to_deploy_tensorflow\n\n\n## Make toy tensorflow model\n\n```\npython toy_model.py\n```\n\n## Fetch the variables you need from your stored model(.ckpt)\n\n```\npython serve.py\n```\n\n## Download a Docker image with TensorFlow serving already compile on it\n\n```\ndocker run -it -p \u003cPORT\u003e:\u003cPORT\u003e — name \u003cCONTAINER_NAME\u003e -v \u003cABSOLUTE_PATH_TO_SERVE_DIR\u003e:\u003cSERVE_DIR\u003e epigramai/model-server:light-universal-1.7 — port=\u003cPORT\u003e — model_name=\u003cMODEL_NAME\u003e — model_base_path=\u003cMODEL_DIR\u003e\n```\n\nfor example\n\n\n```\ndocker run -it -p 9000:9000 --name tf-serve -v $(pwd)/serve/:/serve/ epigramai/model-server:light-universal-1.7 --port=9000 --model_name=test --model_base_path=/serve/test\n```\n\nor\n\n```\ndocker run -it -p 9000:9000 --name tf-serve -v $(pwd)/serve/:/serve/ chagmgang/tensorflow_deploy:1.7 --port=9000 --model_name=test --model_base_path=/serve/test\n```\n\n## Create a client in order to send the gRPC request\n\nInstall library python for make client and end-point\n\n```\npip install git+https://github.com/chagmgang/tfserving-python-predict-client.git\n```\n\nor\n\n```\npip install git+https://github.com/epigramai/tfserving-python-predict-client.git\n```\n## Test the response of docker\n\n```\npython client.py\n```\n\n## Make a API endpoint via Flask\n\n```\nimport numpy as np\nfrom predict_client.prod_client import ProdClient\nfrom flask import Flask\nfrom flask import request\nfrom flask import jsonify\n\nHOST = 'localhost:9000'\nMODEL_NAME = 'test'\nMODEL_VERSION = 1\n\napp = Flask(__name__)\nclient = ProdClient(HOST, MODEL_NAME, MODEL_VERSION)\n\ndef convert_data(raw_data):\n    return np.array(raw_data, dtype=np.float32)\n\ndef get_prediction_from_model(data):\n    req_data = [{'in_tensor_name': 'inputs', 'in_tensor_dtype': 'DT_FLOAT', 'data': data}]\n\n    prediction = client.predict(req_data, request_timeout=10)\n\n    return prediction\n\n\n@app.route(\"/prediction\", methods=['POST'])\ndef get_prediction():\n    req_data = request.get_json()\n    raw_data = req_data['data']\n\n    data = convert_data(raw_data)\n    prediction = get_prediction_from_model(data)\n\n    # ndarray cannot be converted to JSON\n    return jsonify({ 'predictions': prediction['outputs'].tolist() })\n\nif __name__ == '__main__':\n    app.run(host='localhost',port=3000)\n```\nor\n```\npython api_endpoint.py\n```\n\n## test via postman\n![image](./mnist_deploy/src/1_OxCFwpBMGspD_AwEuaZwxQ.png)\n\n## without docker(only can be done in ubuntu)\n```\necho \"deb [arch=amd64] http://storage.googleapis.com/tensorflow-serving-apt stable tensorflow-model-server tensorflow-model-server-universal\" | sudo tee /etc/apt/sources.list.d/tensorflow-serving.list\n\ncurl https://storage.googleapis.com/tensorflow-serving-apt/tensorflow-serving.release.pub.gpg | sudo apt-key add -\n```\n\n```\nsudo apt-get update \u0026\u0026 sudo apt-get install tensorflow-model-server\n```\n\n```\ntensorflow_model_server --port=port_number --model_name=model_name --model_base_path=absolute/path/to/model\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchagmgang%2Fhow_to_deploy_tensorflow","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fchagmgang%2Fhow_to_deploy_tensorflow","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchagmgang%2Fhow_to_deploy_tensorflow/lists"}