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I was trying to this project for my school https://www.youtube.com/watch?v=COlbP62-B-U Everything worked smooth till i encountered that pip install tensorflow doesn't work. then I tried this for install tensorflow TensorFlow not found using pip. I could successfully install tensorflow but still tensorflow-gpu couldn't be install.

Any idea how can I do that.

Tushar Amdoskar
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4 Answers4

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Updated for tensorflow 2:

Tensorflow 2.x

There is no separate installation for tensorflow GPU in 2.x, it's a unified installation for both CPU and GPU. The package will be built with GPU support if and only if a compatible GPU is available. To verify, use the command: tf.test.is_built_with_cuda() after installing. Source

Note that you still need a compatible GPU first.

Tensorflow 1.x:

No, you need a compatible GPU to install tensorflow-GPU.

From the docs.

Hardware requirements: NVIDIA® GPU card with CUDA® Compute Capability 3.5 or higher.

Paritosh Singh
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No, but you can use Google Colab (https://colab.research.google.com), which has the option of using GPUs in the notebooks.

PabloCarrera
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  • How i am supposed to link a file located in my local drive. My tensor flow model and protoc files are available in D drive of pc. – Tushar Amdoskar Dec 23 '19 at 11:34
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No, you Can not install Tensorflow gpu without nvidia graphic card.

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No you cannot, its like installing a soul without body. But if you are a curious learner and want to try something amazing with DL try buying GPU-compute instances on Cloud or try out Google Colab.

Narasimha Prasanna HN
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