[BE][2/16] fix typos in torch/ (torch/_*/) (#156312)

Pull Request resolved: https://github.com/pytorch/pytorch/pull/156312
Approved by: https://github.com/albanD

torch/_numpy/_dtypes_impl.py

@@ -1,6 +1,6 @@
 # mypy: ignore-errors
 
-"""Dtypes/scalar type implementaions with torch dtypes.
+"""Dtypes/scalar type implementations with torch dtypes.
 
 Here `dtype` is always a torch.dtype, this module knows nothing about
 scalar types, wrapper dtypes or anything like that. PyTorch only.

torch/_numpy/_funcs_impl.py

@@ -96,7 +96,7 @@ def _concat_cast_helper(tensors, out=None, dtype=None, casting="same_kind"):
     else:
         out_dtype = _dtypes_impl.result_type_impl(*tensors)
 
-    # cast input arrays if necessary; do not broadcast them agains `out`
+    # cast input arrays if necessary; do not broadcast them against `out`
     tensors = _util.typecast_tensors(tensors, out_dtype, casting)
 
     return tensors
@@ -1290,7 +1290,7 @@ def cross(a: ArrayLike, b: ArrayLike, axisa=-1, axisb=-1, axisc=-1, axis=None):
 
 def einsum(*operands, out=None, dtype=None, order="K", casting="safe", optimize=False):
     # Have to manually normalize *operands and **kwargs, following the NumPy signature
-    # We have a local import to avoid poluting the global space, as it will be then
+    # We have a local import to avoid polluting the global space, as it will be then
     # exported in funcs.py
     from ._ndarray import ndarray
     from ._normalizations import (

torch/_numpy/_util.py

@@ -204,7 +204,7 @@ def _coerce_to_tensor(obj, dtype=None, copy=False, ndmin=0):
 
     Notes
     -----
-    This is almost a "tensor_like" coersion function. Does not handle wrapper
+    This is almost a "tensor_like" coercive function. Does not handle wrapper
     ndarrays (those should be handled in the ndarray-aware layer prior to
     invoking this function).
     """