Update distributed.md

docs/en/advanced_tutorials/distributed.md

@@ -23,15 +23,16 @@ We will detail on these APIs in the following chapters.
 
 - [init_dist](mmengine.dist.init_dist): Launch function of distributed training. Currently it supports 3 launchers including pytorch, slurm and MPI. It also setup the given communication backends, defaults to NCCL.
 
-If you need to change the runtime timeout (default=30 minutes) for distributed operations that take very long, you can specify a different timeout in your runtime configuration like this:
+  If you need to change the runtime timeout (default=30 minutes) for distributed operations that take very long, you can specify a different timeout in your `env_cfg` configuration passing in [Runner](mmengine.runner.Runner) like this:
 
-```python
-env_cfg = dict(
-    cudnn_benchmark=True,
-    mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0),
-    dist_cfg=dict(backend='nccl', timeout=10800), # Sets the timeout to 3h (10800 seconds)
-)
-```
+  ```python
+  env_cfg = dict(
+      cudnn_benchmark=True,
+      mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0),
+      dist_cfg=dict(backend='nccl', timeout=10800), # Sets the timeout to 3h (10800 seconds)
+  )
+  runner = Runner(xxx, env_cfg=env_cfg)
+  ```
 
 ## Query and control