Typos for explanation

Typos

Author: lucweichen

README.rst

@@ -15,7 +15,7 @@ BlueFog
 
     <p align="center"><img src="https://user-images.githubusercontent.com/65107588/82258821-62d66b80-990f-11ea-9393-bf5456af67e6.png" alt="Logo" width="450"/></p>
 
-BlueFog is a high-performance distributed training framework for PyTorch built with **decentralized optimization** algorithms. The goal of Bluefog is to make decentralized algorithms easy to use, fault-tolerant, friendly to heterogeneous environment, and even faster than training frameworks built with parameter server, or ring-allreduce.
+BlueFog is a high-performance distributed training framework built with **decentralized optimization** algorithms. The goal of Bluefog is to make decentralized algorithms easy to use, fault-tolerant, friendly to heterogeneous environment, and even faster than training frameworks built with parameter server, or ring-allreduce.
 
 Performance
 -----------

bluefog/common/basics.py

@@ -150,7 +150,7 @@ def is_topo_weighted(self) -> bool:
         return self._is_topo_weighted
 
     def load_topology(self) -> networkx.DiGraph:
-        """A funnction that return the virtual topology MPI used.
+        """A funnction that returns the virtual topology MPI used.
 
         Returns:
             topology: networkx.DiGraph.
@@ -187,7 +187,7 @@ def out_neighbor_ranks(self) -> List[int]:
 
     def set_topology(self, topology: Optional[networkx.DiGraph] = None,
                      is_weighted: bool = False) -> bool:
-        """A funnction that set the virtual topology MPI used.
+        """A funnction that sets the virtual topology MPI used.
 
         Args:
           Topo: A networkx.DiGraph object to decide the topology. If not provided

bluefog/torch/mpi_ops.py

@@ -1106,8 +1106,8 @@ def win_get_nonblocking(name: str, src_weights: Optional[Dict[int, float]] = Non
             acquired.
 
     Returns:
-        A handle to the win_get operation that can be used with `poll()` or
-        `synchronize()`.
+        A handle to the win_get operation that can be used with `win_poll()` or
+        `win_wait()`.
     """
     function = "bluefog_torch_win_get"
     src_weights = ({rank: 1.0 for rank in in_neighbor_ranks()}