{"id":728,"date":"2020-03-18T13:05:57","date_gmt":"2020-03-18T06:05:57","guid":{"rendered":"https:\/\/www.linuxid.net\/post\/?p=728"},"modified":"2025-04-18T15:21:02","modified_gmt":"2025-04-18T08:21:02","slug":"cara-install-dan-konfigurasi-tensorflow-di-centos-8","status":"publish","type":"post","link":"https:\/\/www.linuxid.net\/post\/cara-install-dan-konfigurasi-tensorflow-di-centos-8\/","title":{"rendered":"Cara Install dan Konfigurasi TensorFlow di CentOS 8"},"content":{"rendered":"

TensorFlow adalah platform open source untuk machine learning yang dibangun oleh Google. TensorFlow digunakan oleh sejumlah organisasi termasuk Twitter, PayPal, Intel, Lenovo, dan Airbus.<\/p>\n

TensorFlow dapat diinstal di seluruh sistem, dalam Python virtual environment, sebagai\u00a0Docker\u00a0container\u00a0atau dengan\u00a0Anaconda<\/a>.<\/p>\n

TensorFlow mendukung Python 2 dan 3. Kami akan menggunakan Python 3 dan install TensorFlow di dalam virtual environment<\/em>.<\/p>\n

Virtual environment<\/em> memungkinkan Anda untuk memiliki beberapa lingkungan Python terisolasi yang berbeda pada satu komputer dan menginstal versi spesifik modul berdasarkan setiap proyek, tanpa khawatir itu akan mempengaruhi Proyek Anda yang lain.<\/p>\n

Install TensorFlow di CentOS<\/h2>\n

Tidak seperti distribusi Linux lainnya, Python tidak diinstal secara default pada CentOS 8. Untuk install Python 3<\/a> pada CentOS 8, jalankan perintah berikut sebagai user root atau sudo<\/code> <\/a>di terminal Anda:<\/p>\n

sudo dnf install python3<\/pre>\n
Perintah di atas akan menginstal Python 3.6 dan pip<\/a>. Untuk menjalankan Python 3, Anda harus mengetikkan python3<\/code> secara eksplisit, dan untuk menjalankan pip ketik pip3<\/code>.<\/p>\n
Mulai dari Python 3.6, cara yang disarankan untuk membuat virtual environment<\/em> adalah dengan menggunakan modul venv<\/code>.<\/p>\n
Masuk ke direktori<\/a> tempat Anda ingin menyimpan proyek TensorFlow. Ini bisa berada di direktori home Anda atau direktori lain di mana Anda dapat memiliki akses read dan write.<\/p>\n
Buat direktori<\/a> baru untuk proyek TensorFlow dan masuk ke dalamnya:<\/p>\n
mkdir proyek_tensorflow 
\ncd proyek_tensorflow<\/code><\/pre>\n
Di dalam direktori, jalankan perintah berikut untuk membuat virtual environment\u00a0<\/em>:<\/p>\n
python3 -m venv venv<\/pre>\n
Perintah di atas membuat direktori bernama venv<\/code>, berisi salinan Python binary, pip Python library, dan file pendukung lainnya. Anda dapat menggunakan nama apa pun yang Anda inginkan untuk virtual environment.<\/em><\/p>\n
Untuk mulai menggunakan virtual environment<\/em>, aktifkan dengan mengetik:<\/p>\n
source venv\/bin\/activate<\/pre>\n
Setelah diaktifkan, direktori bin <\/code>di\u00a0virtual environment<\/em> akan ditambahkan di awal variabel $PATH<\/code><\/a>. Selain itu, prompt shell Anda akan berubah, dan itu akan menampilkan nama virtual environment<\/em> yang saat ini Anda gunakan. Dalam hal ini adalah venv<\/code>.<\/p>\n
Tensorflow dan pip<\/h2>\n
Instalasi TensorFlow membutuhkan pip<\/code> versi 19 atau lebih tinggi. Jalankan perintah berikut untuk meningkatkan pip<\/code> ke versi terbaru:<\/p>\n
pip install --upgrade pip<\/pre>\n
Setelah virtual environment<\/em> dibuat dan diaktifkan, install TensorFlow library menggunakan perintah berikut:<\/p>\n
pip install --upgrade tensorflow<\/pre>\n
Jika Anda memiliki dedicated NVIDIA GPU dan ingin memanfaatkan kekuatan GPU tersebut untuk pemrosesan, instal paket tensorflow-gpu<\/code>, yang mencakup dan memperluas fungsi tensorflow untuk dukungan GPU.<\/p>\n
Dalam virtual environment<\/em>, Anda dapat menggunakan perintah pip bukan pip3 dan python, bukan python3.<\/p>\n
Untuk memverifikasi instalasi, jalankan perintah berikut, yang akan mencetak versi TensorFlow:<\/p>\n
python -c 'import tensorflow as tf; print(tf.__version__)'<\/pre>\n
Pada saat menulis artikel ini, versi stabil terbaru dari TensorFlow adalah 2.1.0<\/code>:<\/p>\n
2.1.0
\n<\/pre>\n
Versi TensorFlow Anda mungkin berbeda dari versi yang ditampilkan di sini.<\/p>\n
Jika Anda baru menggunakan TensorFlow, kunjungi halaman Memulai<\/a> dengan TensorFlow dan pelajari cara membuat aplikasi Machine Learning pertama Anda. Anda juga dapat clone TensorFlow Models<\/a> atau repositori TensorFlow-Examples dari Github<\/a> dan menjelajahi dan menguji contoh-contoh TensorFlow.<\/p>\n
Setelah selesai dengan pekerjaan Anda, nonaktifkan lingkungan dengan mengetikkan deactivate<\/code>, dan Anda akan kembali ke shell normal Anda.<\/p>\n
deactivate<\/pre>\n
Pada saat ini Anda telah berhasil menginstal TensorFlow, dan Anda dapat mulai menggunakannya.<\/p>\n
Kesimpulan<\/h2>\n
Kami telah menunjukkan kepada Anda cara menginstal TensorFlow di dalam virtual environment<\/em> di CentOS 8.<\/p>\n","protected":false},"excerpt":{"rendered":"
TensorFlow adalah platform open source untuk machine learning yang dibangun oleh Google. 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