Variable is now a subclass of at::Tensor backed by a VariableImpl* pImpl. The implementation of the ATen functions is defined in the auto-generated VariableType.h/cpp file.
Currently, only functions which fall through to the base type, such as sizes() and isCuda() are implemented. Differentiable ops like add() and mul() will be added in a subsequent PR.
* add SharedFunctionMaker to create Function shared in the graph
* Clean shared_ptr usage for only function that will be used in the graph
* make Function binding match Varible one
* remove unnecessary changes
* fix comments
* proper weakref implementation
* add call to clear in dealloc
* Fix clang warnings
* Raise errors when unsupported ConvNd configurations are used
* Properly handle Variable indexing with LongTensors
* Support both tensors and variables in Variable.type_as
Because of this Variables can no longer appear in the graph.
Every usage of a leaf Variable will leave an AccumulateGrad
function that has no outputs, but modifies var.grad as a side
effect.
The core autograd Variable, Function, and Engine no longer depend on the
Python API. This let's us implement functions in C++. In the future, we
can also multithread engine and release the GIL for most of the
non-Python backwards.
