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Ortamınızı TensorFlow Federated (TFF) kullanacak şekilde ayarlamanın birkaç yolu vardır:
TFF'yi öğrenmenin ve kullanmanın en kolay yolu kurulum gerektirmez; TensorFlow Federated eğitimlerini Google Colaboratory kullanarak doğrudan tarayıcınızda çalıştırın.
TensorFlow Federated'ı yerel bir makinede kullanmak için TFF paketini Python'un pip paket yöneticisiyle yükleyin.
Kaynaktan bir TensorFlow Federasyon Python paketi oluşturmak aşağıdakileri yapmak istediğinizde faydalıdır:
TensorFlow Federated'de değişiklikler yapın ve bu değişiklikleri gönderilmeden veya yayınlanmadan önce TensorFlow Federated kullanan bir bileşende test edin.
TensorFlow Federated'e gönderilen ancak yayınlanmayan değişiklikleri kullanın.
[null,null,["Son güncelleme tarihi: 2025-07-25 UTC."],[],[],null,["# Install TensorFlow Federated\n\n\u003cbr /\u003e\n\nThere are a few ways to set up your environment to use TensorFlow Federated\n(TFF):\n\n- The easiest way to learn and use TFF requires no installation; run the TensorFlow Federated tutorials directly in your browser using [Google Colaboratory](https://colab.research.google.com/notebooks/welcome.ipynb).\n- To use TensorFlow Federated on a local machine, [install the TFF package](#install_tensorflow_federated_using_pip) with Python's `pip` package manager.\n- If you have a unique machine configuration, [build the TFF package from source](#build_the_tensorflow_federated_python_package_from_source) .\n\nInstall TensorFlow Federated using `pip`\n----------------------------------------\n\n### 1. Install the Python development environment.\n\n sudo apt update\n sudo apt install python3-dev python3-pip # Python 3\n\n### 2. Create a virtual environment.\n\n python3 -m venv \"venv\"\n source \"venv/bin/activate\"\n pip install --upgrade \"pip\"\n\n| **Note:** To exit the virtual environment, run `deactivate`.\n\n### 3. Install the released TensorFlow Federated Python package.\n\n pip install --upgrade tensorflow-federated\n\n### 4. Test Tensorflow Federated.\n\n python -c \"import tensorflow_federated as tff; print(tff.tensorflow_computation(lambda: 'Hello World')())\"\n\n| **Success:** The latest TensorFlow Federated Python package is now installed.\n\nBuild the TensorFlow Federated Python package from source\n---------------------------------------------------------\n\nBuilding a TensorFlow Federated Python package from source is helpful when you\nwant to:\n\n- Make changes to TensorFlow Federated and test those changes in a component that uses TensorFlow Federated before those changes are submitted or released.\n- Use changes that have been submitted to TensorFlow Federated but have not been released.\n\n### 1. Install the Python development environment.\n\n sudo apt update\n sudo apt install python3-dev python3-pip # Python 3\n\n### 2. Install Bazel.\n\n[Install Bazel](https://docs.bazel.build/versions/master/install.html), the\nbuild tool used to compile Tensorflow Federated.\n\n### 3. Clone the Tensorflow Federated repository.\n\n git clone https://github.com/google-parfait/tensorflow-federated.git\n cd \"tensorflow-federated\"\n\n### 4. Create a virtual environment.\n\n python3 -m venv \"venv\"\n source \"venv/bin/activate\"\n pip install --upgrade \"pip\"\n pip install numpy\n\n### 5. Build the TensorFlow Federated Python package.\n\n mkdir \"/tmp/tensorflow_federated\"\n bazel run //tools/python_package:build_python_package -- \\\n --output_dir=\"/tmp/tensorflow_federated\"\n\n### 6. Exit the virtual environment\n\n deactivate\n\n### 7. Create a new project.\n\n mkdir \"/tmp/project\"\n cd \"/tmp/project\"\n\n### 8. Create a new virtual environment.\n\n python3 -m venv \"venv\"\n source \"venv/bin/activate\"\n pip install --upgrade \"pip\"\n\n| **Note:** To exit the virtual environment, run `deactivate`.\n\n### 9. Install the TensorFlow Federated Python package.\n\n pip install --upgrade \"/tmp/tensorflow_federated/\"*\".whl\"\n\n### 10. Test Tensorflow Federated.\n\n python -c \"import tensorflow_federated as tff; print(tff.tensorflow_computation(lambda: 'Hello World')())\"\n\n| **Success:** A TensorFlow Federated Python package is now built from source and installed."]]