Fix typos, via a Levenshtein-type corrector (pytorch#31523)

Summary:
Should be non-semantic.

Uses https://en.wikipedia.org/wiki/Wikipedia:Lists_of_common_misspellings/For_machines to find likely typos, with https://github.com/bwignall/typochecker to help automate the checking.

Uses an updated version of the tool used in pytorch#30606 .
Pull Request resolved: pytorch#31523

Differential Revision: D19216749

Pulled By: mrshenli

fbshipit-source-id: 7fd489cb9a77cd7e4950c1046f925d57524960ea

Author: bwignall

CMakeLists.txt

@@ -270,7 +270,7 @@ if (MSVC)
     endif()
 
     # /bigobj increases number of sections in .obj file, which is needed to link
-    # against libaries in Python 2.7 under Windows
+    # against libraries in Python 2.7 under Windows
     set(${flag_var} "${${flag_var}} /MP /bigobj")
   endforeach(flag_var)
 

CODEOWNERS

@@ -10,7 +10,7 @@
 /test/test_c10d.py @pietern @mrshenli @zhaojuanmao
 /torch/utils/cpp_extension.py @goldsborough @fmassa @soumith @ezyang
 
-# Not there to stricly require the approval, but to be tagged as a reviewer
+# Not there to strictly require the approval, but to be tagged as a reviewer
 # on the PRs to push them into a high priority inbox.
 /torch/csrc/api/data/ @apaszke
 /torch/csrc/autograd/ @apaszke

aten/src/ATen/CMakeLists.txt

@@ -24,7 +24,7 @@ else()
   set(CAFFE2_STATIC_LINK_CUDA_INT 0)
 endif()
 CONFIGURE_FILE(Config.h.in "${CMAKE_CURRENT_SOURCE_DIR}/Config.h")
-# TODO: Don't unconditionally generate CUDAConfig.h.in.  Unfortuantely,
+# TODO: Don't unconditionally generate CUDAConfig.h.in.  Unfortunately,
 # this file generates AT_ROCM_ENABLED() which is required by the miopen
 # files, which are compiled even if we are doing a vanilla CUDA build.
 # Once we properly split CUDA and HIP in ATen, we can remove this code.

aten/src/ATen/core/boxing/kernel_lambda.h

@@ -8,7 +8,7 @@ namespace c10 {
 namespace detail {
   // WrapRuntimeKernelFunctor: Wraps any runtime functor into a functor that
   // inherits from c10::OperatorKernel, so it can be used as a c10 kernel.
-  // This can, for example, be used for lamdas, functors or even function pointers.
+  // This can, for example, be used for lambdas, functors or even function pointers.
   // In the case of function pointers, since it is a runtime function pointer,
   // there is an overhead for calling it whenever the kernel is invoked.
   template<class FuncType, class ReturnType, class ParameterList> class WrapRuntimeKernelFunctor_ {};

aten/src/ATen/core/function_schema.h

@@ -184,7 +184,7 @@ struct FunctionSchema {
   std::vector<Argument> returns_;
   // if true then this schema takes an arbitrary number of additional arguments
   // after the argument specified in arguments
-  // currently this is used primarily to represent 'primtive' operators whose
+  // currently this is used primarily to represent 'primitive' operators whose
   // arguments are not checked by schema
   bool is_vararg_;
   bool is_varret_;

aten/src/ATen/core/jit_type.h

@@ -1366,7 +1366,7 @@ struct getTypePtr_<at::optional<T>> final {
 } // namespace detail
 template <class T>
 inline TypePtr getTypePtr() {
-  // TODO: static_assert that a templated function exists, and throw a friendy
+  // TODO: static_assert that a templated function exists, and throw a friendly
   // error message if not
   return detail::getTypePtr_<T>::call();
 }

aten/src/ATen/cpu/vec256/vec256_base.h

@@ -84,7 +84,7 @@ struct Vec256 {
   // a constexpr variable if we never odr-use it.  But it seems that some
   // versions GCC/Clang have buggy determinations on whether or not an
   // identifier is odr-used or not, and in any case it's hard to tell if
-  // a variable is odr-used or not.  So best to just cut the probem at the root.
+  // a variable is odr-used or not.  So best to just cut the problem at the root.
   static constexpr int size() {
     return 32 / sizeof(T);
   }

aten/src/ATen/cuda/CUDAGenerator.cpp

@@ -94,7 +94,7 @@ uint64_t CUDAGenerator::current_seed() const {
 }
 
 /**
- * Gets a nondeterminstic random number from /dev/urandom or time,
+ * Gets a nondeterministic random number from /dev/urandom or time,
  * seeds the CPUGenerator with it and then returns that number.
  * 
  * FIXME: You can move this function to Generator.cpp if the algorithm

aten/src/ATen/cuda/nvrtc_stub/ATenNVRTC.h

@@ -53,7 +53,7 @@ namespace at { namespace cuda {
 // NOTE [ ATen NVRTC Stub and HIP ]
 //
 // ATen's NVRTC stub library, caffe2_nvrtc, provides dynamic loading of both
-// NVRTC and driver APIs. While the former is not yet suppoted for HIP, the
+// NVRTC and driver APIs. While the former is not yet supported for HIP, the
 // later is supported and needed (e.g., in CUDAHooks::getDeviceWithPrimaryContext()
 // used by tensor.pin_memory()).
 //

aten/src/ATen/cudnn/Descriptors.h

@@ -76,7 +76,7 @@ class TORCH_CUDA_API Descriptor
   T* desc() const { return desc_.get(); }
   T* desc() { return desc_.get(); }
 
-  // Use mut_desc() to access the underlying desciptor pointer
+  // Use mut_desc() to access the underlying descriptor pointer
   // if you intend to modify what it points to (e.g., using
   // cudnnSetFooDescriptor).  This will ensure that the descriptor
   // is initialized.  Code in this file will use this function.