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First, I am not sure my computer(macbook pro) is capable of running tensor flow on GPU. I have checked system/hardware/Graphics-Display settings. You can find below related infos.

Graphics: Intel Iris Pro 1536 MB

enter image description here

So, Is it possible to run tensor flow on GPU with this computer graphics capabilities?

Second question, I am using conda environment to install tensor flow. On tensorflow installation page I could only find pip package for cpu. How could I install tensor gpu package? tensorflow installarion page

https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.3.0-py3-none-any.whl

clockworks
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2 Answers2

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The newest version of tensorflow does not have gpu support for mac os, as seen here.

DJK
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  • what about first part of the question? is it a suitable computer using GPU on machine learning? (Tensorflow does not support but for supporting libraries) – clockworks Sep 09 '17 at 18:15
  • That's a different question entirely "Is my GPU good enough for machine learning". They cant run tensorflow GPU, you need a nivida graphics card because there is no [open cl support yet](https://github.com/tensorflow/tensorflow/issues/22) . In general, your CPU will probably be just as efficient – DJK Sep 09 '17 at 19:28
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I havent found any way to run my application (which uses tensorflow) with gpu support in my Mac. It has an "Intel Iris Ghaphics 6100" graphic card. In this report (Can I run Cuda or opencl on intel iris?) says that only NVDIA ghaphic cards have CUDA supports, then likely I wont be able to do ..

But I have installed tensorflow-gpu without problems following this ways: https://wangpei.ink/2019/03/29/Install-TensorFlow-GPU-by-Anaconda(conda-install-tensorflow-gpu)/

desertnaut
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mmonlab
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