* Add the check for whether CUDA Driver and NVRTC is available for the runtime system.
* Call cuInit to initialize the CUDA Driver API before all CUDA callings.
test=develop
* Change the behavior when libnvrtc.so can not be found, printing a warning instead of exiting.
test=develop
* Do not initialize CUDA Driver API for windows and macos.
test=develop
* Remove the call of cuInit when entering paddle and enable the test_code_generator.
test=develop
* Add some built-in functions for __half.
test=develop
* Change save_intermediate_out to false in unittest.
test=develop
* Fix error reference to tempropary variable when seting including path for device_code.
test=develop
* add new macro BOOST_GET_SAFELY & unittests, test=develop
* add different macro type, test=develop
* fix get macro type in executor, test=develop
* four macro part change backup
* using one macro for all case, test=develop
* revert attribute change, test=develop
* change to three func to solve gcc4.8 bug, test=develop
* polish some details, test=develop
* Fix cusolver loader for Windows in dynamic_loader.cc. test=develop
* Fix missing CUSOLVER_ROUTINE_EACH_R1.
test=gpu
test=develop
* Add unsupprot for cusolver on Windows temporarily. test=develop
* Fix GetCusolverDsoHandle error message. test=develop
* update the analysis predictor, test=develop
* update the unit test, test=develop
* no priority set before the inferface determined, test=develop
* interface name generalization, test=develop
* Optimize the error messages of paddle CUDA API, test=develop
* fix the error messages of paddle CUDA API, test=develop
* Refactoring PADDLE_ENFORCE_CUDA_SUCCESS, and apply to curand/cudnn/cublas/NCCL,test=develop
* remove build_ex_string,test=develop
* merge conflict,test=develop
* Initial FP32 DNNL MatMul Implementation
* Implement int8 DNNL MatMul
* Unify in-kernel-naming, clean UTs
* MatmuL: Introduce op caching
* Final adjustments
test=develop
* Remove dy_graph disablement
test=develop
* Change dnnl header name to new one
test=develop
* Contrain multi head check to prevent fails
test=develop
* Resolve dnnl header problems on MAC CI
* Variable namings to kernel and skip_grad_ci added
test=develop
* Prevent MAC CI from failing
* Prevent windows build from failing
test=develop
* Modify UTs to conform to the rules
* Modify MatMul aux functions namings
test=develop
* Remove the NGraph engine from PDPD repository
1. Each operator was removed from the operator's directory
2. Each test was removed from the unittest directory
3. The parallel executor support was removed from the PDPD
4. The CMake file was removed from the PDPD
5. The NG flags were removed from the repository
test=develop
* Remove ngraph from:
1. Cmake file
2. Python file
test=develop
* Enable quantize to reorder to nchw as well
* Correct FC MKL-DNN input dim requirements to accept 3D
* Improve DNNL FC format, error and 3D input handling
test=develop
* Improve error checking in FC
test=develop
* Improve PADDLE_ENFORCE messages in fc-related files
* Remove data layout attribute from obligatory pass args
test=develop
* Fix message in fc_mkldnn_pass to be logically correct
test=develop
* Polish the PADDLE_ENFORCE in fusion_group pass related codes.
test=develop
* Correct the unittest because of the change relu_grad's formula.
test=develop
* Add the dynamic load of nvrtc, and support runtime compiling of CUDA kernel using nvrtc.
test=develop
* Call CUDA driver api to launch the kernel compiled by nvrtc.
test=develop
* Disable for mac and windows.
test=develop
* Refine the codes to support manually specified num_threads and workload_per_thread.
test=develop
* Refine the CUDA kernel to support large dims.
test=develop
* Add DeviceCodePool to manage all device codes.
* Add the first implementation fusion_group op.
* Add unit-test for fusion_group op.
* Add the check of result.
* Add the check of nvrtc in unit-test.
test=develop
* Add comment to explain the inputs, outputs and features of fusion_group op.
test=develop
* Disable fusion_group op for mac and windows.
test=develop
* Make the compiling of device code return status instead of hanging up.
test=develop
* Add the check of whether there is CUDA driver library, and do not core dump when failing to call the CUDA driver API.
* Unify fusion_group_op's input and output names.
test=develop
* Add the check of CUDA driver library in unittest.
test=develop
* Refine the calling of PADDLE_ENFORCE.
test=develop
* Enrich the type of error and declare the error type interfaces, test=develop
* adjust tests to adapt new form, test=develop
* add inference deps with error_codes.pb.h, test=develop
* restore stack iter start pos, test=develop
* polish code based review comments, test=develop
* Add asymetric padding support for mkldnn pooling
test=develop
* Add asymetric padding support for mkldnn conv
test=develop
* Add asymetric padding support for mkldnn conv_transpose
test=develop
* - Flushing mkl-dnn cache
test=develop
- Disabled clearing cache for LoadModel
- Added clearing of mkl-dnn cache when Executor is created
test=develop
- Do not clear for GPU places
test=develop
- compilation fix
test=develop
* - Moved clearing of mkl-dnn cache in destructor of executor
test=develop
* - Compilation fix
test=develop
- Reverted conditional clearing of mkl-dnn cache in Executors's
destructor
test=develop
- compilation fix
* How to write custom op needs to follow framework OP spec.
* Package fluid_framework.so and headers into whl.
* Add paddle.sysconfig.get_include() and paddle.sysconfig.get_lib() to get include dir and lib dir.
* Export some C-APIs to merge OpInfo between core.so and custom_op.so.
* Add unit testing.
* Update API.spec.
* fix pool2d pool3d:
1. support asymmetric padding;
2. support padding algorithm:"SAME" and "VALID";
3. support channel_last: data_format NHWC and NDHWC;
4. support inferring shape when input with negative dims in compile time;
5. change doc of python API and c++;
6. fix bug in cuda kernel when Attr(adaptive) is true.
test=develop,test=document_preview
* fix 'tensors' to 'Tensors'. test=develop,test=document_preview
* add test for converage ValueError.test=develop,test=document_preview
* resolve conflict in test_pool2d. test=develop
* Fix conv2d+dequantize squash for residual fusion
test=develop
* Correct int8 input
test=develop
* Add if exclude or include padding in pool2d mkldnn
test=develop
* fix conflicts
test=develop
* change mask_bias_reorder
test=develop
* add ComputeMask function to make code clear
test=develop
* change according to reviews
test=develop
* change according to reviews
test=develop
TemporaryAllocator is a singleton used for allocating memory for Cudnn. Since it is a singleton, we can delete it for better performance in memory.
We replace TemporaryAllocator by CUDADeviceContextAllocator and CUDADeviceContextAllocation, which uses stream callback to delete the memory allocated for the stream to avoid singleton.
Also added data_feed_proto to operator to fix CI in CPU compilation
* Add the dynamic load of nvrtc, and support runtime compiling of CUDA kernel using nvrtc.
test=develop
* Call CUDA driver api to launch the kernel compiled by nvrtc.
test=develop
* Disable for mac and windows.
test=develop
* Refine the codes to support manually specified num_threads and workload_per_thread.
test=develop
* Refine the CUDA kernel to support large dims.
test=develop
* - First set of modifications
- Compilation fixes
- compilation fix
- Another compilation fix
- Moved AcquireSoftmaxPrimitiveDescriptor call into handler
- MKL-DNN Softmax PD refactor
test=develop
- Compilation fix
test=develop
- another compilation fix
- cosmetcis
test=develop
- Compilation fix
- Fix to crash when softmax backward is created
* - Fixes after review of softmax refactoring
test=develop
- Refactor step 1
- Compilation fix
- Yet another compilation fix
- Even more compilation fix
- Lint fixes
test=develop
- Removed deprectaed PADDLE_ENFORCE occurance
test=develop
- Candidate fix to BN forward
- Lint fixes
test=develop
- Refactoring in data_layout_transform
- compilation fix
- Another comppilation fix
- Step further into darkness
- Yet another compilation fix
- Yet another compilation fix
- missing header
- compilation fix
- Added MKLDNN -> Paddle conversion in fetch op
test=develop
- Compilation fix
test=develop
- Lint
test=develop
- Mul fix
- Fix to MKLDNN MUL op and Elementwise MUL UT
test=develop
- Workaround for diffrent weights with groups representation Paddle vs
MKL-DNN.
test=develop
- Candidate fix for 5D convolution with groups
- Refactor of fix for conv3d and conv2d in fetch op
test=develop
- Compilation fix
- Still same compilation fix
- Compilation fix
- Compilation fix
- Reverted refactoring of fixes
- Adapted test_conv2d_int8_mkldnn so it exects data in NCHW format
not NHWC
test=develop
- minor fix in UT
test=develop
- Lint fixes
test=develop
* supports multiple NCCL communicators preserved in NCCLCommContext
test=develop
* add ut for c_comm_init_all operator and fix cuda resource release problem
test=develop
* replace part of PADDLE_ASSERT to PADDLE_ENFORCE
test=develop
* remove unused fallback_alloc_size_
* add unit-test of CUDAPinnedAllocator
test=develop
* Implement the operator with sprase matrix multiply
* Update the URL of mklml library.
test=develop
* Disable MKLML implematation when using no-linux.
test=develop
* Ignore the deprecated status for windows
test=develop
* fix warpctc.dll not found issue, test=develop
* revert the linux platform change, test=develop
* delete warpctc_lib_path.h.in, test=develop
* add SetPySitePackagePath function
* fix warpctc.dylib not found issue on Mac, test=develop
* improve the paddle lib path setting logic, test=develop
* fix mac ci issue caused by test_warpctc_op unittest, test=develop
* tweak code, test=develop
test=develop
- Extracted key generation from FWD and GRAD into separate function
test=develop
- Compilation fix
test=develop
- another compilation
test=develop
* change INT8 to template so that checking dst_dt with if-else could be removed. CI will be enabled after fixing reviews
* reverse user_residual_memory_p and user_bias_memory_p declaration scope
test=develop
optimize the error reporting information of cuda related API
index on develop: 130ac17 Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into develop
* feature/auto_growth_allocator, test=develop
* add unittest of AlignedAllocator, test=develop
* try to turn on auto_growth to test on CI, test=develop
* fix segmentation fault in mixed_vector.h, test=develop
* add unittests, test=develop
* rename mkldnn set/get_cur_thread_id() to set/get_cur_mkldnn_session_id()
test=develop
* update session id definition and adjust logic for default behavior
test=develop
* reset logic in mkldnn reuse as most of cases work in default.
test=develop
1. Since allreduce op has 4 reduce types, We split these four reduce types into four ops
2. We also refined the collective op code, e.g. we separated the collective op kernel into CPUKernel and CUDAKernel, and remove the device specified DeviceContext parameter in template as we already knew the target DeviceContext
3. We remove the newly added Collective op role to reduce the complexity of program and graph analysis
* Fix bug in quantize kernel which cause crash in vgg16/19 model
test=develop
* refine the code to reduce verbose code; test=develop
* remove useless code; test=develop
1. some key generation method is not aligned with PR#17965
2. enlarge ptr lifetime to avoid memory release if SetBlob fails
otherwise it will get core dump.
test=develop
* fix prepare context redundant code problem, optimize executor by caching create_varaiables
test=develop
* supports collective training in executor
* make fetch_list runable with variables, add more unittest for use_program_cache
test=develop
* fix comment
test=develop
* use unique name for nccl_id
* supports output to stream in program_to_code
* insert sync_comm_stream before regularization; add skip_op_callstack capability in program_to_code
* set op role in collective training
* add collective op role
* remove orig file
* add build optimizer by strategy
* add collective strategy
* refine collective strategy
* add multi-process role maker
* refine strategy building factory so that we can easily plugin more strategy
* scale loss grad in collective sgd transpiler
* add support for distributed fc
* code format
* revert some features for dist fc
* add support for distributed fc training
* fix prepare context redundant code problem, optimize executor by caching create_varaiables
test=develop
* supports collective training in executor
* make fetch_list runable with variables, add more unittest for use_program_cache
test=develop
* use unique name for nccl_id
* supports output to stream in program_to_code
* insert sync_comm_stream before regularization; add skip_op_callstack capability in program_to_code
* set op role in collective training
* add collective op role
* fix comment
test=develop
* remove orig file
* add build optimizer by strategy
* add collective strategy
* refine collective strategy
* add multi-process role maker
* refine strategy building factory so that we can easily plugin more strategy
* scale loss grad in collective sgd transpiler
* add support for distributed fc
* code format
* revert some features for dist fc
* add support for distributed fc training
* test=develop
add collective op unittest standard
* test=develop
remove the test_collective directory
* test=develop
remove the test_collective directory
* remove slicegather test
* code format for reducescatter
* update attr of shard_index_op
* Modify macro nccl_helper
* remove test without distribute
* macro collective_helper
* marcro update
* test=develop
update support python3.5
* test=develop change gpu memory use to 0.1 when test
* test=develop
update ut equal func
* test=develop
set flags to 1.5
* test=develop fix pickle dumple py35
* test=develop
fix divide in slice and add sync_comm_stream
update atol and rtol to 1e-05
rm shard_index op and test
modify read input from file to read from memory
remove origin_program in framework and add i/o in c_sync_calc_stream
* test=develop update unittest sync operator I/O
Adam
Leo Chen
Jacek Czaja
Yiqun Liu
pawelpiotrowicz
Chen Weihang
Pei Yang
Guo Sheng
石晓伟
Sylwester Fraczek
wangchaochaohu
Zhou Wei
Zhang Ting
guofei
Yi Liu
Michał Gallus
littletomatodonkey
Zeng Jinle
silingtong123
Tao Luo
mozga-intel
tianshuo78520a
Wilber
LielinJiang
zhaoyuchen2018
bingyanghuang
Huihuang Zheng
Zhaolong Xing
Jie Fang
gongweibao
liuwei1031
joanna.wozna.intel
123malin
wopeizl
WangXi
lidanqing
633WHU
danleifeng
qingqing01
liym27
chengduo
Yihua Xu
Huihuang Zheng
XiaoguangHu
Yihua Xu
Zhang Ting
Huihuang Zheng
chengduo
Jiabin Yang
Physher
Leo Zhao
Yi Liu
Brian Liu
HaoRen
HaoRen