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Glenn Jocher 2020-04-27 15:06:26 -07:00
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@ -60,17 +60,17 @@ Python 3.7 or later with all `pip install -U -r requirements.txt` packages inclu
https://cloud.google.com/deep-learning-vm/ 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-16](https://cloud.google.com/compute/docs/machine-types) (16 vCPUs, 60 GB memory)
**CPU platform:** Intel Skylake **CPU platform:** Intel Skylake
**GPUs:** K80 ($0.20/hr), T4 ($0.35/hr), V100 ($0.83/hr) CUDA with [Nvidia Apex](https://github.com/NVIDIA/apex) FP16/32 **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 **HDD:** 1 TB SSD
**Dataset:** COCO train 2014 (117,263 images) **Dataset:** COCO train 2014 (117,263 images)
**Model:** `yolov3-spp.cfg` **Model:** `yolov3-spp.cfg`
**Command:** `python3 train.py --img 416 --batch 32 --accum 2` **Command:** `python3 train.py --img 416 --batch 32 --accum 2`
GPU |n| `--batch --accum` | img/s | epoch<br>time | epoch<br>cost GPU |n| `--batch --accum` | img/s | epoch<br>time | epoch<br>cost
--- |--- |--- |--- |--- |--- --- |--- |--- |--- |--- |---
K80 |1| 32 x 2 | 11 | 175 min | $0.58 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 | $0.28<br>$0.36 T4 |1<br>2| 32 x 2<br>64 x 1 | 41<br>61 | 48 min<br>32 min | $0.09<br>$0.11
V100 |1<br>2| 32 x 2<br>64 x 1 | 122<br>**178** | 16 min<br>**11 min** | **$0.23**<br>$0.31 V100 |1<br>2| 32 x 2<br>64 x 1 | 122<br>**178** | 16 min<br>**11 min** | **$0.21**<br>$0.28
2080Ti |1<br>2| 32 x 2<br>64 x 1 | 81<br>140 | 24 min<br>14 min | -<br>- 2080Ti |1<br>2| 32 x 2<br>64 x 1 | 81<br>140 | 24 min<br>14 min | -<br>-
# Inference # Inference