Fix several typos (pytorch#83823)

Fixes #ISSUE_NUMBER

Pull Request resolved: pytorch#83823
Approved by: https://github.com/ngimel, https://github.com/kit1980

Author: asdfghjklxd

aten/src/ATen/Dispatch.h

@@ -200,7 +200,7 @@ inline void deprecated_AT_DISPATCH_ALL_TYPES_AND_HALF_AND_COMPLEX() {}
 //    conditionally compile fragments of the case statements such
 //    that the kernel functions are specialized only for the dtypes
 //    that are needed. The NAME parameter *must* be a build time
-//    cons char* (can't be std::string, etc...)
+//    const char* (can't be std::string, etc...)
 //
 // Please ensure that the NAME is unique for every implementation
 // or you run the risk of over-including code for the kernel

c10/core/ScalarType.h

@@ -103,7 +103,7 @@ struct ScalarTypeToCPPType;
     /* This is a workaround for the CUDA bug which prevents */               \
     /* ::detail::ScalarTypeToCType<T>::type being used directly due to */    \
     /* ambiguous reference which can't to be resolved. For some reason it */ \
-    /* cant pick between at::detail and at::cuda::detail. */                 \
+    /* can't pick between at::detail and at::cuda::detail. */                \
     /* For repro example, please see: */                                     \
     /* https://gist.github.com/izdeby/952ae7cf256ddb740a73776d39a7e7ba */    \
     /* TODO: remove once the bug is fixed. */                                \

torch/csrc/TypeInfo.cpp

@@ -108,7 +108,7 @@ PyObject* THPDTypeInfo_compare(THPDTypeInfo* a, THPDTypeInfo* b, int op) {
 
 static PyObject* THPDTypeInfo_bits(THPDTypeInfo* self, void*) {
   // NOLINTNEXTLINE(bugprone-narrowing-conversions,cppcoreguidelines-narrowing-conversions,cppcoreguidelines-avoid-magic-numbers)
-  int bits = elementSize(self->type) * 8;
+  int64_t bits = elementSize(self->type) * 8;
   return THPUtils_packInt64(bits);
 }
 
@@ -220,13 +220,10 @@ PyObject* THPFInfo_str(THPFInfo* self) {
 }
 
 PyObject* THPIInfo_str(THPIInfo* self) {
-  auto type = self->type;
-  std::string primary_name, legacy_name;
-  std::tie(primary_name, legacy_name) = torch::utils::getDtypeNames(type);
   std::ostringstream oss;
 
-  oss << "iinfo(min=" << PyFloat_AsDouble(THPIInfo_min(self, nullptr));
-  oss << ", max=" << PyFloat_AsDouble(THPIInfo_max(self, nullptr));
+  oss << "iinfo(min=" << PyLong_AsDouble(THPIInfo_min(self, nullptr));
+  oss << ", max=" << PyLong_AsDouble(THPIInfo_max(self, nullptr));
   oss << ", dtype=" << PyUnicode_AsUTF8(THPIInfo_dtype(self, nullptr)) << ")";
 
   return THPUtils_packString(oss.str().c_str());