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Is there any way to prevent full GPU memory allocation for MXNet? So that it only allocates what it needs and not the whole GPU memory.

I want to use another model in Tensorflow/Keras on the same GPU alongside MXNet and it seems that the whole memory gets reserved by MXNet.

talonmies
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Cypher
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1 Answers1

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MXNet allocates memory as needed. Perhaps there is a memory leak in your program or Tensorflow is trying to pre-allocate the memory on the entire GPU which is the default behavior. That behavior is configurable with tf.GPUOptions. See the links on how to use those options.

Hope that helps, Vishaal

Vishaal
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