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However, if you install tensorflow-gpu via conda, it installs the CUDA and cudNN etc. (Yes, in TF 2 there's both, a CPU and GPU support, in the "normal" library.
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If you want to use your GPU, do it the same way as described above, with the only difference to install tensorflow-gpu instead if tensorflow.Īnd, you must install the newest NVIDIA driver for your GPU, you can find and choose the right one here.
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If the output you got is 'Hello, TensorFlow!',that means you have successfully install your Tensorflow. Hello = tf.constant('Hello, TensorFlow!') Validate installation by entering following command in your Python environment: import tensorflow as tf Install the Tensorflow by using following command: (tensorflow)C:>pip install C:\Users\Joshua\Downloads\ tensorflow-1.0.1-cp36-cp36m-win_amd64.whl (For my case, the file will be located in “C:\Users\Joshua\Downloads” once after downloaded). (tensorflow)C:> # Your prompt should changeĭownload “tensorflow-1.0.1-cp36-cp36m-win_amd64.whl” from here. This is what I did for Installing Anaconda Python 3.6 version and Tensorflow on Window 10 64bit.And It was success!ĭownload Anaconda Python 3.6 version for Window 64bit.Ĭreate a conda environment named tensorflow by invoking the following command: C:> conda create -n tensorflowĪctivate the conda environment by issuing the following command: C:> activate tensorflow
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