[doc] Fix typo under colossalai and doc(#3618)

* Fixed several spelling errors under colossalai

* Fix the spelling error in colossalai and docs directory

* Cautious Changed the spelling error under the example folder

* Update runtime_preparation_pass.py

revert autograft to autograd

* Update search_chunk.py

utile to until

* Update check_installation.py

change misteach to mismatch in line 91

* Update 1D_tensor_parallel.md

revert to perceptron

* Update 2D_tensor_parallel.md

revert to perceptron in line 73

* Update 2p5D_tensor_parallel.md

revert to perceptron in line 71

* Update 3D_tensor_parallel.md

revert to perceptron in line 80

* Update README.md

revert to resnet in line 42

* Update reorder_graph.py

revert to indice in line 7

* Update p2p.py

revert to megatron in line 94

* Update initialize.py

revert to torchrun in line 198

* Update routers.py

change to detailed in line 63

* Update routers.py

change to detailed in line 146

* Update README.md

revert  random number in line 402

colossalai/tensor/colo_tensor.py

@@ -184,7 +184,7 @@ class ColoTensor(torch.Tensor):
             # we have to capture the `backward` function
             # and make sure that it does not in `torch._C.DisableTorchFunction()` context
             if func is torch.Tensor.backward:
-                assert len(args) == 1    # only has 1 paramter
+                assert len(args) == 1    # only has 1 parameter
                 backward_tensor = torch.Tensor(args[0])
                 tensor_kwargs = {k: torch.Tensor(v) if torch.is_tensor(v) else v for k, v in kwargs.items()}
                 return backward_tensor.backward(**tensor_kwargs)
@@ -228,7 +228,7 @@ class ColoTensor(torch.Tensor):
         2. If the pg is not not None and not equal to the current process group.
         First, convert the tensor as replicated among the TP process group.
         Second, reset the process group to the new pg.
-        Third, conver the tensor (new replicated both among the tp process group) to the new dist_spec.
+        Third, convert the tensor (new replicated both among the tp process group) to the new dist_spec.
 
         Args:
             dist_spec (_DistSpec): the new dist spec.
@@ -297,7 +297,7 @@ class ColoTensor(torch.Tensor):
     def size_global(self, *args) -> torch.Size:
         """size_global
 
-        override the torch buildin size()
+        override the torch building size()
         the shape passed in must be in a replicate placement.
 
         Returns: