[D][P] Detectron2 - Same Code | Different platforms | highly divergent results

Hello everyone!

I used different hardware/platforms to benchmark multiple possibilites. The Code runs in a jupyter Notebook.

When i evaluate the different losses i get highly divergent results.

I also checked the full .cfg with \`cfg.dump()\` - it is completely consistent.

I appreciate any help. Thanks in advance.

​

**1.Environment**

`Microsoft Azure - Machine Learning`

`STANDARD_NC6`

`Torch: 1.9.0+cu111`

Results:

​

https://preview.redd.it/hnqvi864kk891.png?width=426&format=png&auto=webp&s=e5c32c9e3599afca9c270074b8e3adf2bae0c3ad

**2.Environment**

`GoogleColab free`

`Torch: 1.9.0+cu111`

​

Results:

​

https://preview.redd.it/bdibdvk4kk891.png?width=426&format=png&auto=webp&s=4cfe775ad48262be7a0c29f8367fc17b9b7f71d6

​

**Detectron2 Parameters:**

​

`cfg = get_cfg()`

`cfg.merge_from_file(model_zoo.get_config_file("COCO-Detection/retinanet_R_101_FPN_3x.yaml"))`

`cfg.DATASETS.TRAIN = …

code machinelearning platforms