{"id":1722,"date":"2019-05-15T16:10:28","date_gmt":"2019-05-15T09:10:28","guid":{"rendered":"https:\/\/www.linuxid.net\/post\/?p=1722"},"modified":"2025-04-18T15:22:00","modified_gmt":"2025-04-18T08:22:00","slug":"cara-install-dan-konfigurasi-tensorflow-di-debian-9","status":"publish","type":"post","link":"https:\/\/www.linuxid.net\/post\/cara-install-dan-konfigurasi-tensorflow-di-debian-9\/","title":{"rendered":"Cara Install dan Konfigurasi TensorFlow di Debian 9"},"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 container Docker<\/a> atau dengan Anaconda. Untuk tujuan pembelajaran, sebaiknya Anda menginstal TensorFlow di Python virtual environment.<\/p>\n

Dengan virtual environment, Anda dapat memiliki beberapa proyek yang terisolasi dan berbeda pada satu komputer. Dengan metode ini,\u00a0Anda tidak perlu khawatir akan mempengaruhi Proyek Anda yang lain.<\/p>\n

Tutorial ini menjelaskan cara install TensorFlow di\u00a0Debian 9.<\/p>\n

Install TensorFlow di Debian 9<\/h2>\n

Bagian berikut memberikan petunjuk langkah demi langkah tentang cara menginstal TensorFlow di Python virtual environment<\/a>\u00a0di Debian 9.<\/p>\n

1. Install Python 3 dan venv<\/h3>\n

Debian 9 secara default dikirimkan dengan Python 3.5. Anda dapat memverifikasi bahwa Python 3 diinstal pada sistem Anda dengan mengetik:<\/p>\n

python3 -V<\/pre>\n
Outputnya akan terlihat seperti ini:<\/p>\n
Python 3.5.3<\/code><\/pre>\n
Jika Anda ingin menggunakan Python 3.7, periksa panduan ini<\/a>.<\/p>\n
Direkomendasikan untuk membuat virtual environment dengan menggunakan modul venv<\/code>. Untuk menginstal paket python3-venv<\/code> yang menyediakan modul venv<\/code>, jalankan perintah berikut:<\/p>\n
sudo apt install python3-venv<\/pre>\n
Setelah modul terinstal, kita siap untuk menciptakan lingkungan virtual untuk proyek TensorFlow.<\/p>\n
2. Menciptakan Lingkungan Virtual<\/h3>\n
Mulailah dengan menavigasi ke direktori tempat Anda ingin menyimpan virtual environments Python 3. Direktori ini menjadi direktori home Anda atau direktori lain di mana user lain memiliki akses read and write.<\/p>\n
Buat direktori<\/a> baru untuk proyek TensorFlow dan masuk<\/a> ke dalamnya:<\/p>\n
mkdir my_tensorflow && cd my_tensorflow<\/pre>\n
Setelah di dalam direktori, jalankan perintah berikut untuk membuat\u00a0virtual environment:<\/p>\n
python3 -m venv venv<\/pre>\n
Perintah di atas membuat direktori bernama venv<\/code>, yang berisi salinan binary Python, Pip package manager<\/a>,\u00a0Python library standar, dan file pendukung lainnya. Anda dapat menggunakan nama apa pun yang Anda inginkan untuk virtual environment.<\/p>\n
Untuk mulai menggunakan virtual environment, Anda harus mengaktifkannya dengan menjalankan skrip activate<\/code>\u00a0dengan perintah source<\/code><\/a>:<\/p>\n
source venv\/bin\/activate<\/pre>\n
Setelah diaktifkan, direktori bin virtual environment akan ditambahkan di awal variabel<\/a> $PATH<\/code>. Selain itu, prompt shell Anda akan berubah dan akan menampilkan nama virtual environment yang saat ini Anda gunakan. Dalam hal ini yaitu venv<\/code>.<\/p>\n
Tingkatkan pip ke versi terbaru untuk menghindari masalah saat instalasi paket:<\/p>\n
pip install --upgrade pip<\/pre>\n
3. Instal TensorFlow<\/h3>\n
Sekarang setelah lvirtual environment diaktifkan, saatnya untuk menginstal paket TensorFlow.<\/p>\n
instal pip --upgrade tensorflow<\/pre>\n
Jika Anda memiliki GPU NVIDIA dan ingin memanfaatkan kekuatan pemrosesan alih-alih tensorflow,<\/code> instal paket tensorflow-gpu<\/code> yang mencakup dukungan GPU.<\/p>\n
Dalam virtual environment, Anda dapat menggunakan perintah pip<\/code> alih-alih\u00a0pip3<\/code> dan python<\/code>alih-alih\u00a0python3<\/code>.<\/p>\n
Untuk memverifikasi instalasi gunakan perintah berikut yang akan mencetak versi TensorFlow:<\/p>\n
python -c 'import tensorflow as tf; print(tf.__version__)'<\/pre>\n
Pada saat penulisan artikel ini, versi stabil terbaru dari TensorFlow adalah 1.13.1<\/p>\n
1.13.1<\/pre>\n
Versi TensorFlow Anda mungkin berbeda dari versi yang ditampilkan di sini.<\/p>\n
Jika Anda baru menggunakan TensorFlow, kunjungi halaman get started with TensorFlow<\/a><\/em> dan pelajari cara membuat aplikasi Machine Learning<\/em> pertama Anda. Anda juga dapat mengkloning TensorFlow Model<\/a><\/em> atau repositori TensorFlow-Examples<\/a><\/em> dari Github dan menjelajahi dan menguji contoh-contoh TensorFlow.<\/p>\n
Setelahselesai dengan pekerjaan Anda, nonaktifkan environment, dengan mengetik deactivate\u00a0<\/code>dan Anda akan kembali ke shell normal.<\/p>\n
deactivate<\/pre>\n
Kesimpulan<\/h2>\n
Dalam tutorial ini, kami telah menunjukkan kepada Anda bagaimana menginstal TensorFlow Debian 9.<\/p>\n","protected":false},"excerpt":{"rendered":"
TensorFlow adalah platform open source untuk machine learning yang dibangun oleh Google. 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