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speed update

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Glenn Jocher 2020-05-02 10:23:40 -07:00
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@ -58,15 +58,15 @@ Python 3.7 or later with all `pip install -U -r requirements.txt` packages inclu
## Speed
https://cloud.google.com/deep-learning-vm/
**Machine type:** preemptible [n1-standard-16](https://cloud.google.com/compute/docs/machine-types) (16 vCPUs, 60 GB memory)
**Machine type:** preemptible [n1-standard-8](https://cloud.google.com/compute/docs/machine-types) (8 vCPUs, 30 GB memory)
**CPU platform:** Intel Skylake
**GPUs:** K80 ($0.14/hr), T4 ($0.11/hr), V100 ($0.74/hr) CUDA with [Nvidia Apex](https://github.com/NVIDIA/apex) FP16/32
**HDD:** 1 TB SSD
**Dataset:** COCO train 2014 (117,263 images)
**Model:** `yolov3-spp.cfg`
**Command:** `python3 train.py --img 416 --batch 32 --accum 2`
**Command:** `python3 train.py --data coco2017.data --img 416 --batch 32`
GPU |n| `--batch --accum` | img/s | epoch<br>time | epoch<br>cost
GPU | n | `--batch-size` | img/s | epoch<br>time | epoch<br>cost
--- |--- |--- |--- |--- |---
K80 |1| 32 x 2 | 11 | 175 min | $0.41
T4 |1<br>2| 32 x 2<br>64 x 1 | 41<br>61 | 48 min<br>32 min | $0.09<br>$0.11