Howto: installation on Windows

Part 1 (2018)
438

Same thing.

The python/pytorch dedicates the GPU memory, but does not utilize the GPU itself. Instead - it uses CPU.

On CPU, the first lesson learn.fit_one_cycle(4) - one cycle took me about 1:30 with delays. If num_workers = 0 - 3 minutes.

What I’ve tested so far -

  1. Totally clear Windows 10.
  2. Latest Nvidia driver.
  3. Cuda 10.1 or 10.0.
  4. Different python env’s.
  5. num_workers = 0.
  6. torch.cuda.is_available() is true, but no difference.

The result is the same.

I have an Threadripper CPU and GTX 1080 Ti GPU.

Ended up installing Kubuntu alongside Windows. After all setup - one cycle is 17 seconds.
Totally worth it.

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