[examples] consistently use --gpus, instead of --n_gpu (#6315)
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@@ -249,7 +249,7 @@ The results are the following:
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Run `bash run_pl.sh` from the `glue` directory. This will also install `pytorch-lightning` and the requirements in `examples/requirements.txt`. It is a shell pipeline that will automatically download, pre-process the data and run the specified models. Logs are saved in `lightning_logs` directory.
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Pass `--n_gpu` flag to change the number of GPUs. Default uses 1. At the end, the expected results are:
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Pass `--gpus` flag to change the number of GPUs. Default uses 1. At the end, the expected results are:
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```
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TEST RESULTS {'val_loss': tensor(0.0707), 'precision': 0.852427800698191, 'recall': 0.869537067011978, 'f1': 0.8608974358974358}
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@@ -294,7 +294,3 @@ Training with the previously defined hyper-parameters yields the following resul
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```bash
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acc = 0.7093812375249501
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```
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