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specify config file path on README #2140

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Nov 13, 2023
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specify config file path on README #2140

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specify config file path
kwonmha Nov 10, 2023
30a50e1
set the path of generated config file for configuring and executing c…
kwonmha Nov 13, 2023
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12 changes: 6 additions & 6 deletions examples/README.md
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Expand Up @@ -149,8 +149,8 @@ To run it in each of these various modes, use the following commands:
- multi GPUs (using PyTorch distributed mode)
* With Accelerate config and launcher
```bash
accelerate config # This will create a config file on your server
accelerate launch ./cv_example.py --data_dir path_to_data # This will run the script on your server
accelerate config --config_file config.yaml # This will create a config file on your server to `config.yaml`
accelerate launch --config_file config.yaml ./cv_example.py --data_dir path_to_data # This will run the script on your server
```
* With traditional PyTorch launcher (`torch.distributed.launch` can be used with older versions of PyTorch)
```bash
Expand All @@ -159,8 +159,8 @@ To run it in each of these various modes, use the following commands:
- multi GPUs, multi node (several machines, using PyTorch distributed mode)
* With Accelerate config and launcher, on each machine:
```bash
accelerate config # This will create a config file on each server
accelerate launch ./cv_example.py --data_dir path_to_data # This will run the script on each server
accelerate config --config_file config.yaml # This will create a config file on your server to `config.yaml`
accelerate launch --config_file config.yaml ./cv_example.py --data_dir path_to_data # This will run the script on each server
```
* With PyTorch launcher only (`torch.distributed.launch` can be used with older versions of PyTorch)
```bash
Expand All @@ -178,8 +178,8 @@ To run it in each of these various modes, use the following commands:
- (multi) TPUs
* With Accelerate config and launcher
```bash
accelerate config # This will create a config file on your TPU server
accelerate launch ./cv_example.py --data_dir path_to_data # This will run the script on each server
accelerate config --config_file config.yaml # This will create a config file on your server to `config.yaml`
accelerate launch --config_file config.yaml ./cv_example.py --data_dir path_to_data # This will run the script on each server
```
* In PyTorch:
Add an `xmp.spawn` line in your script as you usually do.
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