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examples/imagenet/README.md
@@ -58,7 +58,7 @@ $ python main_amp.py -a resnet50 --b 224 --workers 4 --opt-level O2 ./
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$ python main_amp.py -a resnet50 --b 224 --workers 4 --opt-level O2 --loss-scale 128.0 ./
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$ python -m torch.distributed.launch --nproc_per_node=2 main_amp.py -a resnet50 --b 224 --workers 4 --opt-level O2 ./
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```
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-Options are explained below.
+Options are explained below. Again, the [updated API guide](https://nvidia.github.io/apex/amp.html) provides more detail.
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#### `--opt-level O0` (FP32 training) and `O3` (FP16 training)
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