Is there a way to force a Python script on GPU? In my code I use tensorflow and keras, and I have already the tensorflow-gpu version, but my code runs on CPU anyway. I'd like to know if there is a way to force the running on GPU independently on Tensorflow, Numpy or others.
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- There are pyopencl and pycuda; is that something you're looking for?9769953– 97699532019-12-30 22:44:48 +00:00Commented Dec 30, 2019 at 22:44
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2 Answers
For TensorFlow (but not python in general) there is a good description of how to do this here: https://www.tensorflow.org/guide/gpu
To force a function to be performed on a specific processor (CPU or GPU) use the TensorFlow call to tf.device() as follows:
import tensorflow as tf with tf.device('/GPU:0'): a = tf.constant([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]]) b = tf.constant([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]) c = tf.matmul(a, b) in this case the data for a and b will be stored on GPU0, and the operation "matmul" will be performed on the GPU0 as well.
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There maybe an issue with your tensorflow-gpu installation. Try creating a separate environment and reinstall only tensorflow-gpu.
