Summary:
Pull Request resolved: pytorch/pytorch#12036

Sometimes you have a TypeIdentifier, and no way to get to
the TypeMeta.  Still nice to be able to read out the name.

This should be obsoleted by smessmer's patches.

Reviewed By: gchanan, mingzhe09088

Differential Revision: D10024554

fbshipit-source-id: 42cdceefd5c59be0441254665f66f5edc829f422

* upstream/master: (117 commits)
  Add full namespace resolution in CAFFE_DURATION (pytorch#12065)
  T33898723: Simple put operators for caffe2 stats (pytorch#12057)
  add narrow() support for sparse tensors re: pytorch#8853 (pytorch#11342)
  Fix ONNX bug, add symbolic for full
  Enable tracing of tensor factories with an out argument
  Fix warnings emitted when testing distributions (pytorch#12038)
  Unify versions across setup.py, libtorch, and libcaffe2 (pytorch#12053)
  add autodiff expressions for common operations (pytorch#11832)
  Blob doesn't allow access to destroyCall anymore (pytorch#11548)
  IValue can store Blob (pytorch#11414)
  Move Blob to ATen/core (pytorch#11924)
  Use tempfile during serialized test comparison (pytorch#12021)
  fix segfault when grad to a hook fn is None (pytorch#12028)
  Fallback CreateMutex/AtomicIter operators for mkl-dnn
  Unify all *_EXPORT and *_IMPORT macros across c++ backend (pytorch#12019)
  Add safety asserts for methods on TensorImpl which don't work on Variable. (pytorch#12058)
  Make USE_IDEEP work again (pytorch#12026)
  Fix "identifier following the 'template' keyword does not refer to a template" (pytorch#12037)
  Delete some unused variables. (pytorch#12059)
  Support TypeIdentifier::name() (pytorch#12036)
  ...