Detectron2 - Same Code / Different platforms / highly divergent results

Hello!

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.

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**1.Environment**

`Microsoft Azure - Machine Learning`

`STANDARD_NC6`

`Torch: 1.9.0+cu111`

Results:

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https://preview.redd.it/2horcrkrhi891.png?width=426&format=png&auto=webp&s=6b28f01a6357f90a340b3c3f3766a9119b3c17ac

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**2.Environment**

`GoogleColab free`

`Torch: 1.9.0+cu111`

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Results:

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https://preview.redd.it/0k0u2kkqhi891.png?width=426&format=png&auto=webp&s=9a6f738bc910c92fbdc9370bcd788b19fe6ee290

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**Detectron2 Parameters:**

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`cfg = get_cfg()`

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

`cfg.DATASETS.TRAIN = …

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