P100-PCIE-16GB was added to the GPU of Google Colab before I knew it

※※ This article is as of November 24, 2019. While thinking that everyone may already know. .. .. ..

About GPU gacha of Google colab

I think it is well known that there is a GPU gacha. See below for details. https://qiita.com/koshian2/items/d33edc963ed6cfcad77e

Trigger

I thought that it was faster than usual, and when I checked the GPU, P100 was added as follows. キャプチャ2.JPG

GPU speed comparison

Immediately, I compared the training speed. The code used is the pix2pix code that I picked up from Google Seedbank. https://research.google.com/seedbank/seed/pixpix_with_eager_execution

Click here for Seedbank. https://qiita.com/tomo_makes/items/e5a309687f5054ba471f

Set epoch to 10 and here is the result of speed comparison.

GPU Calculation time/sec
K80 723.3
T4 411.4
P100 250.1

It's really fast. It depends more and more on Colab. .. ..

GPU gacha result (30 times)

By the way, to see how it is distributed I repeated "All runtime resets" → "nvidia-smi" about 30 times.

GPU Number of times probability/%
K80 12 40
T4 4 13.3
P100 14 46.7

With this feeling, it seems to be about the same probability as K80.

Finally

The number of gachas is 30 times, but in fact I thought I would do it about 100 times. However, on the way, I got the following allocation refusal. .. .. image.png

I was curious about what it was, but the disastrous result was that I couldn't proceed that day anymore. Everyone, GPU gacha is moderate! Have a great Google Colab life!

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