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Professional Machine Learning Engineer

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Topic 1 Question 31
You need to train a computer vision model that predicts the type of government ID present in a given image using a GPU-powered virtual machine on Compute Engine. You use the following parameters: ✑ Optimizer: SGD ✑ Image shape = 224ֳ—224 ✑ Batch size = 64 ✑ Epochs = 10 ✑ Verbose =2 During training you encounter the following error: ResourceExhaustedError: Out Of Memory (OOM) when allocating tensor. What should you do?
- Change the optimizer.
- Reduce the batch size.
- Change the learning rate.
- Reduce the image shape.
解説
Reference: https://github.com/tensorflow/tensorflow/issues/136

ユーザの投票
コメント(13)
- B. I think you want to reduce batch size. Learning rate and optimizer shouldn't really impact memory utilisation. Decreasing image size (A) would work, but might be costly in terms final performance
  
  👍 22
  maartenalexander2021/06/22
- B. https://stackoverflow.com/questions/59394947/how-to-fix-resourceexhaustederror-oom-when-allocating-tensor/59395251#:~:text=OOM%20stands%20for%20%22out%20of,in%20your%20Dense%20%2C%20Conv2D%20layers
  
  👍 9
  guruguru2021/07/24
- B is correct, it uses less memory.
  
  A works too but depending on what you need you will loose perfomance (just like maartenalexander said) so I think it is not recommended.
  
  👍 3
  mousseUwU2021/10/20
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