Fix get distributed config (#122)

* fix(utils): get distributed deepspeed config error

* fix(contributing.md): dangling links

Author: maxreciprocate

CONTRIBUTING.md

@@ -49,11 +49,11 @@ Follow these steps to start contributing code:
 
 Finally ... 🥁 ... Create a [pull request](https://docs.github.com/en/github/collaborating-with-issues-and-pull-requests/creating-a-pull-request) to the `trlX` repository! Make sure to include a description of your changes and link to any relevant issues.
 
-> __Tip__: If you're looking to introduce an experimental feature, we suggest testing the behavior of your proposed feature on some of the existing [examples](https://github.com/CarperAI/trlx/tree/master/examples), such as [random walks](https://github.com/CarperAI/trlx/blob/master/examples/randomwalks.py). This will help you get a better sense of how the feature would work in practice and will also help you identify any potential flaws in the implementation.
+> __Tip__: If you're looking to introduce an experimental feature, we suggest testing the behavior of your proposed feature on some of the existing [examples](https://github.com/CarperAI/trlx/tree/master/examples), such as [random walks](https://github.com/CarperAI/trlx/blob/master/examples/randomwalks). This will help you get a better sense of how the feature would work in practice and will also help you identify any potential flaws in the implementation.
 
 ## Asking questions
 
-Have a question? Rather than opening an issue, you can readily chat with the core team on our [Discord server](https://discord.gg/X2gHZMRP6m).
+Have a question? Rather than opening an issue, you can readily chat with the core team on our [Discord server](https://discord.gg/canadagoose).
 
 ## Code of conduct
 

trlx/utils/__init__.py

@@ -71,9 +71,9 @@ def get_distributed_config(accelerator: Accelerator):
         "num_gpus": accelerate_config.num_processes,
     }
 
-    if hasattr(accelerator.state, "deepspeed_plugin"):
+    if accelerator.state.deepspeed_plugin is not None:
         ds_plugin = accelerator.state.deepspeed_plugin
-        dist_config.upate(
+        dist_config.update(
             {
                 "gradient_accumulation_steps": ds_plugin.gradient_accumulation_steps,
                 "gradient_clipping": ds_plugin.gradient_clipping,