- 06 8月, 2017 1 次提交
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由 Yan Chunwei 提交于
* init cross entropy graident * add crossentropy grad op * remove details * fix static compile
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- 05 8月, 2017 1 次提交
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由 Yu Yang 提交于
Make ci pass
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- 04 8月, 2017 2 次提交
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由 qijun 提交于
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由 dangqingqing 提交于
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- 03 8月, 2017 3 次提交
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由 Qiao Longfei 提交于
* init softmax grad op * add compute code * export Backward to python * update test ,export op.type to python * update python test, fix compute bug * update unit test * use eigen * optimize eigen code * add gpu test * register softmax_grad GPU kernel and fix test bug * typo * follow comments
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由 Yu Yang 提交于
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由 Qiao Longfei 提交于
* export Backward to python
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- 02 8月, 2017 3 次提交
- 01 8月, 2017 2 次提交
- 31 7月, 2017 3 次提交
- 29 7月, 2017 1 次提交
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由 Yan Chunwei 提交于
* add rnn op interfaces * add Run * rename state -> memory * change state -> memory * make compilable * add .cc * init test * add op fake implementation * add CreateStepNet and CreateScopes implementation. * add TODO list * init memory attributes. * add LinkMemories * add PlainNet fake implementation * Use std::shared_ptr<Scope> in the OpRunContext. * add test * disable mutable_data * finist segmentInput function * enable mutable_data with a trick * RNNOp test. * enable LinkMemories with mutable_data * update SegmentInput function with comments * finish ConcatOutput function * reformat inputs and attributes boot_memories * Refine unit test. * Refine unit test. * modify inlinks. * add OpDesc to Net * fix bug and update unit test. * move step scopes from inputs to outputs * fix merge conflict, update SegmentInput function * add RecurrentOpProtoAndCheckerMaker. * clean the codes * Abstract GetStepScopes and GetMaxSeqLen function * refine LinkMemories * Refine code and add some comments. * add backward core * update for develop branch. * add forward core * add forward algorithm * Add RecurrentGradientAlgorithm implenmention. * use CopyFrom and Slice function in RecurrentOp * add unit test for LinkMemories. * fix unit test. * use the latest tensor.h, solve conflict * add maker * move SegmentInput and ConcatOutput to details nameplace * unit test for RecurrentGradientAlgorithm. * apply OperatorBase * apply net operator. * move memorys to attributes * add RecurrentGradientOp * open test unit test in recurrent_network_op_test. * revert some files. * add RecurrentArgument and Link struct to simplify member variable. * rename. * move recurrent_op from framework to operators * add RecurrentGradientOp Init * fix name * fix Link.interal/external name * use namespace operators instead of framework * clean the code * use the latest add_op and mul_op, don't test backward now * Remove ScopePtr and OperatorPtr * add get_net to pybind * add test_recurrent_op.py * add random into gen_tensor * update to develop branch and refine some code. * add some comments.
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- 25 7月, 2017 3 次提交
- 24 7月, 2017 5 次提交
- 21 7月, 2017 2 次提交
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由 qijun 提交于
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由 Qiao Longfei 提交于
* add cross-entropy-op * add infershape and compute * implement Infershape and compute of onehotcrossentropy op
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- 20 7月, 2017 1 次提交
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由 Yu Yang 提交于
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- 19 7月, 2017 2 次提交
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由 Qiao Longfei 提交于
* a simplest SGD op
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由 Yu Yang 提交于
* Expose PlainNet to Python, make python can add_op, complete_add_op * Provide a low level api to manipulate Net * Unittest for Net::DebugString
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- 18 7月, 2017 3 次提交
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由 Yu Yang 提交于
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由 Yu Yang 提交于
* Fc operator is a grouped operator, which combined by may internal operators. * InferShape & Run a FC operator in Python.
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由 Yu Yang 提交于
* Follow review comments to seperate Tensor Numpy interactive methods in tensor.h. * Simplify logic for `CastToPyBufferImpl`, make it as one struct and in details namespace. * Remove `Scope` expose in Python, since it currently is useless. * Remove some debug functions.
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- 17 7月, 2017 1 次提交
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由 Yu Yang 提交于
Basically following http://pybind11.readthedocs.io/en/stable/advanced/pycpp/numpy.html * Use buffer protocol to return a view of Tensor. It can be cast to numpy array in Python. * Set a numpy array to a tensor.
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- 15 7月, 2017 1 次提交
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由 Yu Yang 提交于
All OpCreation method are generated by `create_op_creation_methods::__bootstrap__` method, and stores in `op_creations` object and its methods. There are three parts to implement this feature. 1. Get all registered `OpProto` from C++ side. It is implemented in `get_all_op_protos` method. 1. Create a function to convert `kwargs` to `OpDesc` base on each op's `OpProto`. The `OpDescCreationMethod` class. 1. Convert `OpProto` to `docstring` by `get_docstring_from_op_proto` method. All three methods are unit tested. The `__bootstrap__` just combines them together and create a method in runtime. For details, please reference the doc string in `create_op_creation_methods.py` and the unit test `test_op_creation_methods.py`.
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- 14 7月, 2017 2 次提交
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由 Yu Yang 提交于
* PyBind and SWIG of paddle cannot be load in a single Python process, lazy import all SWIG library of Paddle. Otherwise, the glog, gflags are imported twice in a same Python process. * Note that all PyBind11 return C++ std::string as an unicode. For protobuf, it is need be cast to `str` before use them. * Add unit test for Get `OpProtos`
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由 Yu Yang 提交于
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- 11 7月, 2017 2 次提交
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由 Yu Yang 提交于
`Paddle` manages Scope as programming language's scope. It just a thread-local stack of Scope. Top of that stack is current scope, the bottom of that stack is all scopes' parent. Invoking `create_var/get_var` can `create/get` variable in current scope. Invoking `enter_local_scope/leave_local_scope` can create or destroy local scope. A `scoped_function` will take a `function` as input. That function will be invoked in a new local scope.
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由 Yu Yang 提交于
* 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
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- 06 7月, 2017 1 次提交
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由 Yu Yang 提交于
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.
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