Summary: Add check that every time we register a caffe operator to CPU or GPU that documentation is added for the particular operator.
Reviewed By: dzhulgakov
Differential Revision: D5443110
fbshipit-source-id: 3793c3d29bea1228078cb30bdf8243ac0ab90664
Summary: Add lint rule to check that every time we register a caffe operator to CPU or GPU that documentation is added for the particular operator.
Reviewed By: dzhulgakov
Differential Revision: D5348078
fbshipit-source-id: c3fa22fc7ca8066d5fc8fa780b23d7867fd3380e
Summary: Chatted with pietern today, figured it is an easy change.
Reviewed By: pietern
Differential Revision: D4688275
fbshipit-source-id: a2751f1ff9f192ba6f2bd961be6ad1c693c8b5c6
(1) Registry now uses std::function for more flexible use cases.
(2) dropout adds an "is_test" keyword.
(3) Making all gradient registered via C++. Python still provides gradient wrapper.
TODO item is to make the autograd SSA in C++ if possible. Problem is if we want to dynamically
register python gradients we will be sort of screwed because in c++ things are registered
via static variables.
(1) various bugfixes.
(2) Tensor is now a class independent from its data type. This allows us
to write easier type-independent operators.
(3) code convention changes a bit: dtype -> T, Tensor<*Context> -> Tensor* alias.
(4) ParallelNet -> DAGNet to be more consistent with what it does.
(5) Caffe's own flags library instead of gflags.
(6) Caffe's own logging library instead of glog, but glog can be chosen with
compile-time definition -DCAFFE2_USE_GOOGLE_GLOG. As a result, glog macros
like CHECK, DCHECK now have prefix CAFFE_, and LOG(*) now becomes
CAFFE_LOG_*.
(7) an optional protobuf inclusion, which can be chosen with USE_SYSTEM_PROTOBUF
in build_env.py.
