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While training 3D CNN with amp, I found that very weird result (accuracy drops around 6%) specifically on pytorch version 1.4.0 , V100 gpu, and amp opt-level O1 and O2.
On pytorch version 1.1.0, it …
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Hi, there is a question in the introdution about "How to improve object detection" :
"Increase network-resolution by set in your .cfg-file (height=608 and width=608) or (height=832 and width=832) o…
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Hello,
I'm very interested in this work and have been attempting to reproduce the results, but even after fixing label mismatch issue in #4 , I have been unable to reproduce a mAP score of 47.1 af…
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I noticed that the `DistributedDataParallel` module has the option `mixed_precision` which is for mixed precision training. We don't use that, even if the user specifies `torch_amp` to use mixed preci…
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## 👩🔬 Yapılanlar
- [📍 Buradaki](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md#coco-trained-models) `ssd_mobilenet_v1_quantized_coco ☆` medel…
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Ref: https://www.openvehicles.com/node/2942
I've found multiple sections like this is Peter's log:
```
2022-01-18 08:15:55 C rx msg S 98.0,M,220,10.00,charging,standard,129,88,27,64,0,0,3,1,0,0,0…
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Have the following options configurable per piece type to allow more flexibility:
* initial move region, i.e., double steps, etc.
* promotion region
* drop region
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## 🐛 Bug
For a few models ( Platypus-30B with FSDP zero3, Gemma7b with DDP and vicuna-33b-v1.3 with FSDP zero3) we get segmentation fault error when trying to use fp8 with thunder_cudnn. When usi…
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## Data visualization:
2-component PCA on Hall dataset. red circles are relevant, blue crosses are irrelevant
![pca](https://user-images.githubusercontent.com/13929197/32448411-d5eb1212-c2dc-11e7-92…