Merge branch 'main' into sekyondaMeta-Deadlink-update-4

Author: svekars

beginner_source/ddp_series_theory.rst

@@ -7,7 +7,7 @@
 What is Distributed Data Parallel (DDP)
 =======================================
 
-Authors: `Suraj Subramanian <https://github.com/suraj813>`__
+Authors: `Suraj Subramanian <https://github.com/subramen>`__
 
 .. grid:: 2
 

intermediate_source/process_group_cpp_extension_tutorial.rst

@@ -25,9 +25,8 @@ Basics
 
 PyTorch collective communications power several widely adopted distributed
 training features, including
-`DistributedDataParallel <https://pytorch.org/docs/stable/generated/torch.nn.parallel.DistributedDataParallel.html>`__,
-`ZeroRedundancyOptimizer <https://pytorch.org/docs/stable/distributed.optim.html#torch.distributed.optim.ZeroRedundancyOptimizer>`__,
-`FullyShardedDataParallel <https://github.com/pytorch/pytorch/blob/master/torch/distributed/_fsdp/fully_sharded_data_parallel.py>`__.
+`DistributedDataParallel <https://pytorch.org/docs/stable/generated/torch.nn.parallel.DistributedDataParallel.html>`__ and
+`ZeroRedundancyOptimizer <https://pytorch.org/docs/stable/distributed.optim.html#torch.distributed.optim.ZeroRedundancyOptimizer>`__.
 In order to make the same collective communication API work with
 different communication backends, the distributed package abstracts collective
 communication operations into a