* add test_fit_a_line
* Update
* fix persistable bug
* fix elementwise add bug
* set correct attr for bias op in fc layer
* set correct attr for bias op in fc layer
* Update
1. Add init_program to hold initializers
2. bug fix
* add test_fit_a_line
* fix persistable bug
* fix elementwise add bug
* fix type
* add gitignore
* Complete fit_a_line test
* revert code
* Clean up
* Revert "revert code"
This reverts commit eb1aa015cda4fc12b6dc778ada6c3507b98134f5.
* Refine
* Fix unit test
* Implement FC layer with helper
* Update LayerHelper
* Add debug string for Python ProtoBuf
and Rename `Sync` to `Flush`
* Add check of ProtoBuf initialization
* Layer wrapper for FC
* Fix unittest
* Fix CI
* Add code generator
* AttributeChecker Better error log and speicalize bool
Since lots of types can be cast to bool
* Complete mlp, fit_a_line
* Expose get global scope
* Make global scope not thread-safe
1. It is no need to make global scope thread-safe, since it will be
invoked in Python main thread.
2. Do not free the global scope when C++ exit. Let the OS free memories,
otherwise, we need to handle the destroy dependencies.
See
https://google.github.io/styleguide/cppguide.html#Static_and_Global_Variables
* Fix
* Implementation of simple conv_2d layer
* Stash
* Remove private data members in OpRegister
* Fix bugs
* Stash
* Expose FeedFetchList as VarType
* Change ProgramDesc not a global variable
* Polish code style
* Stash
* Correct implement BlockDesc destructor
* Correct implement BlockDesc destructor
* Unify program as parameter name
* Fix bugs
* Add unittest
* Fix unit test error
* Remove unused functions
* Add clone for Python Program
* Working on executor
* Stash
* Add glog as dependencies of ops
* Use VLOG to logging some information is helpful when we debug Paddle
* Expose VarDesc::persistable to Python
* Test executor
* Complete unittest
* Polish code
* Fix merge error
* Follow comment
* Polish Python Code
* Implement FC layer with helper
* Update LayerHelper
* Add debug string for Python ProtoBuf
and Rename `Sync` to `Flush`
* Add check of ProtoBuf initialization
* Layer wrapper for FC
* Fix unittest
* Fix CI
* Add code generator
* AttributeChecker Better error log and speicalize bool
Since lots of types can be cast to bool
* Complete mlp, fit_a_line
* Implementation of simple conv_2d layer
* Fix bugs
* Change ProgramDesc not a global variable
* Polish code style
* Stash
* Correct implement BlockDesc destructor
* Correct implement BlockDesc destructor
* Unify program as parameter name
* Fix bugs
* Add unittest
* Fix unit test error
* Remove unused functions
* Add clone for Python Program
* Compare OpDescBind directly
* Implement FC layer with helper
* Update LayerHelper
* Add debug string for Python ProtoBuf
and Rename `Sync` to `Flush`
* Add check of ProtoBuf initialization
* Layer wrapper for FC
* Fix unittest
* Fix CI
* Add code generator
* AttributeChecker Better error log and speicalize bool
Since lots of types can be cast to bool
* Complete mlp, fit_a_line
* Implementation of simple conv_2d layer
* Fix bugs
* Correct implement BlockDesc destructor
* Fix bugs
* Fix unit test error
* Follow comments
* Implement FC layer with helper
* Update LayerHelper
* Add debug string for Python ProtoBuf
and Rename `Sync` to `Flush`
* Add check of ProtoBuf initialization
* Layer wrapper for FC
* Fix unittest
* Fix CI
* Add code generator
* AttributeChecker Better error log and speicalize bool
Since lots of types can be cast to bool
* Complete mlp, fit_a_line
* Implementation of simple conv_2d layer
* Fix bugs
* Remove debug code
* initial matmul operator
Similar to np.matmul, but also has transpose_X and transpose_Y flags,
and only supports tensors from rank 1 to 3 inclusive.
For GPU, uses cublas?gemmStridedBatched. For CPU, uses
cblas_?gemm_batch if available via MKL; otherwise a simple serial
implementation that loops over the batch dimension is employed for now.
* init parameter base class
* optimize the Comments of optimizer
* basic implimentation of optimizer
* add test_optimizer
* add no_grad_set to interface
* update optimizer.py
* python code can run
* fix some problem
* add sync_with_cpp to Python Program and Block
* sync vars and ops in block from cpp
* optimize code and add some comment
* add more check for sync
* update optimizer with return value of Backward
* rm unused code
* infer shape when create gradient vairiable
* update test_optimizer
* update test_program.py
* update backward test
* follow comment
* Implement FC layer with helper
* Update LayerHelper
* Add debug string for Python ProtoBuf
and Rename `Sync` to `Flush`
* Add check of ProtoBuf initialization
* Layer wrapper for FC
* Fix unittest
* Fix CI
* Add code generator
* AttributeChecker Better error log and speicalize bool
Since lots of types can be cast to bool
* Complete mlp, fit_a_line
* add target to Backward, generate var in block when call backward
* modify backward_test
* fix executor_test
* set var desc default type to LOD_TENSOR
* update backward_test
* insert loss in the top level of backward
* create grad vars for all blocks in current program
* optimize code
* update test_program.py
* only create var for newly create blocks when backward
Peng LI
wanghaoshuang
chengduoZH
Yu Yang
Peng Li
Zhuoyuan
Dong Zhihong
Yang Yang(Tony)
QI JUN
dangqingqing
武毅
Luo Tao
Guo Sheng
kexinzhao
Kexin Zhao
fengjiayi
Yan Chunwei
kavyasrinet
guosheng
Abhinav Arora
Qiao Longfei
Markus Kliegl
dzhwinter
chengduo
Cao Ying
Yibing Liu