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TensorFlow : स्थापित करें (CPU)2024/06/21 |
TensorFlow स्थापित करें जो मशीन लर्निंग लाइब्रेरी है। इस उदाहरण पर, TensorFlow 2 (केवल CPU) स्थापित करें। |
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[1] | |
[2] | अन्य आवश्यक पैकेज स्थापित करें. |
root@dlp:~# apt -y install python3-dev python3-pip gcc g++ make
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[3] | एक सामान्य उपयोगकर्ता के रूप में लॉगिन करें और TensorFlow को स्थापित करने के लिए पायथन वर्चुअल वातावरण तैयार करें। |
ubuntu@dlp:~$ python3 -m venv --system-site-packages ~/tensorflow ubuntu@dlp:~$ source ./tensorflow/bin/activate (tensorflow) ubuntu@dlp:~$ |
[4] | TensorFlow 2.16 स्थापित करें. |
(tensorflow) ubuntu@dlp:~$
pip3 install --upgrade tensorflow-cpu==2.16.1
# TensorFlow चलाएँ (tensorflow) ubuntu@dlp:~$ python3 -c "import tensorflow as tf;print(tf.reduce_sum(tf.random.normal([1000, 1000])))" 2024-06-21 04:06:40.189271: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2024-06-21 04:06:40.221540: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. tf.Tensor(835.5763, shape=(), dtype=float32) # Hello World on TensorFlow (tensorflow) ubuntu@dlp:~$ python3 -c "import tensorflow as tf; hello = tf.constant('Hello, TensorFlow World'); tf.print(hello)" 2024-06-21 04:07:02.806418: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2024-06-21 04:07:02.838468: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. Hello, TensorFlow World |
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