In this way we can build and test using WITH_FLUID_ONLY flag being set
to ON.
- move paddle.v2.dataset,reader to paddle.dataset,reader
- remove unused code (which depends on v2) in paddle.dataset,reader
* Expose paddle.framework by pybind11
* Export paddle.framework.{Scope, Variable} to paddle.v2.framework.core.
* See python/paddle/v2/framework/tests/test_scope.py for Python usage
* See paddle/pybind/pybind.cc for C++ bind code.
* add copyright
Python should be able to manipulate Protobuf message because:
1. Python's `create_op_creation_methods` take the `OpProto` array to
generate all `op_creation_methods` in RunTime.
2. All `op_creation_methods` will create an `OpDesc` and pass it to
Paddle C++ method `CreateOp` and return the Op handle.
Here is the list of what is added in this commit:
* Add `protobuf_generate_python` if it is not defined.
* Before cmake 3.4, `protobuf_generate_python` is not defined. Just
copy the implementation of that function in `protobuf.cmake`
* Add `py_proto_compile` function in `cmake/generic.cmake`.
* It follows bazel's API interface.
* https://github.com/pubref/rules_protobuf#rules
* Add an empty package named `paddle.v2.framework`, all python code of
`paddle::framework` will be in that package.
* Generate protobuf's python module `__init__.py` by `touch` while
compiling.
* Change setup.py.in, make `paddle.v2.framework.proto` uses the
generated protobuf pythons.
* min_pool_size would be infinite by default.
* add unittest for min_pool_size
* Fix bug in can_over_batch_size
* add unittest for can_over_batch_size
* Add DEFINE_PROVIDER_EX
* Add default value of should_shuffle
* When training, the default value of should_shuffle is True.
* When testing, the default value of should_shuffle is False.
* User a set a provider should_shuffle or not by pass it to `@provider`
* should_shuffle can handle a list of value, not just boolean
* Add input order mapping by using name
* Add unittest
* Add check to check input format.
* Default is close for speed reason.
* User could stop train when check error, or continue train without
this train sample.
* use deque instead of vector in generators pool, make erase
generator faster.
* Add chinese/english documentation
* Make should shuffle = false in unittest
* Add python files to depends.
* install wheels when invoke paddle script if current python don't
have paddle packages, or installed a previous version.
* Also add `make install` to travis
gongweibao
Tao Luo
Lei Wang
Helin Wang
Xin Pan
tensor-tang
typhoonzero
Qiao Longfei
Yi Wang
liaogang
Yu Yang
dongzhihong
Helin Wang
xuwei06
zhangjinchao01