* disable ut test_parallel_executor_fetch_isolated_var,test=document_fix
* test for limiting ut exec time as 15S
* fix an error caused by cannot find ut
* fix some error
* can not find test_transformer
* fix error caused by ut not run in windows
* fix error caused by Compiler Options
* fix error caused by setting timeout value as 15 in python/paddle/tests/CMakeLists.txt
* setting timeout value to 120s for old ut
* add the timeout value setting
* fix error caused by ut only run in coverage_ci
* add analyzer_transformer_profile_tester
* fix some error
* fix some error
* fix error with inference option
* fix error with inference option setting as ON_INFER
* add some ut to set timeout
* modified some option
* fix error
* fix some timeout error
* fix error
* fix error
* fix timeout for test_analyzer_bfloat16_resnet50
* fix error
* setting timeout properity for some ut
* first pr for new ut timeout as 15S
* refine jit.save/load to add support for other method, not only forward
* refine the code based on unit tests
* Add unit test for the code
* Add unit test for the code
* Modify the code according to the unit test
* Delete useless comments, save only one info file, etc.
* remove static_mode_white_list.pyc
* edit the code that generate 'extra_var_info'
* fp16 result ok
* change -DWITH_NVINFER_PLUGIN toconfig.EnableTensorRtOSS
* auto detect special slice op converter for ernie with trt oss
* ernie oss only support fp16
* fix special_slice_plugin serialize bug
* matmul in tensorrt ok
* ernie unittest ok
* add matmul tensorrt unittest
* remove demo code
This PR is follow up of #28213. On that PR we tried to decrease GPU usage, however the CI still randomly failed. So I added retry logic for the initialization of nccl and cusolver. If the initialization failed, we can retry to avoid the random failure.
* add + - * / @ [] operator to ComplexVariable, also add unittest
* fix circular reference bug
* fit for py2.7
* remove reverse oprators which not supported now
* Join break cond with while cond
* remove usless code
* refine the if code
* Split into BreakTransfromOptimizer
* add BreakTransformOptimizer in ast_transformer
* add more comment
* Release 2.0rc cherry pick api rename #28108 (#28184)
* rename count_include_pad-->exclusive return_indices-->return_mask
* remove track_running_stats
* fix typo.
* rename xxxd-->xxxxD
* solve conflicts
* 2.0rc api add all any (#28199)
* reduce trt warning message (#28011)
add paddle.enable_static() on sample code
alias recude_all-->all, reduce_any-->any
add import reduce_all and reduce_any in python/paddle/tensor/math.py
import all and any in python/paddle/tensor/__init__.py
remove all and any OP in python/paddle/tensor/logic.py, add all and any OP in python/paddle/tensor/math.py
fix import error
remove TestAllAPI temporary
* fix doc of recdue_all and reduce_any, test=document_fix
* fix typo
* fix unittest for all and any API
Co-authored-by: Pei Yang <peiyang@baidu.com>
* rename conv_transposeXd-->convXd_transpose (#28198)
* fix sample code of reduce_all and reduce_any
Co-authored-by: Pei Yang <peiyang@baidu.com>
Recently, test_parallel_executor_test_while_train randomly failed on CI. On all CI logs, it showed NCCL initialization failed or cusolver initialization failed. I found online that those failure is usually caused by GPU shortage. Those API calls CUDA APIs directly so it shouldn't be the problem of allocator. It may be somewhere in PaddlePaddle increases GPU usage.
However, I run this test for 1000 times on my machine and the CI machine, either of them can reproduce the random failure. Maybe there is something related to the environment only happened in test env.
To verify my assumption that somewhere in PaddlePaddle increases GPU usage and also fix this CI, I decreased the batch_size to see whether the random failure disappears in test env.
* fix strided_slice_op's GetExpectedKernelType when input tensor is at CUDAPinnedPlace
* add unittest for tensors in cuda pinned place
* skip test for cuda pinned place on cpu machines
* fix bug of fetch_async_op_handle
* revert some changes of test_buffer_shared_memory_reuse_pass
* revert some changes of test_buffer_shared_memory_reuse_pass
* transfer from paddle.fluid.layers.assign() into creation.py,test=develop
* fix ut fail,add support for paddle.assign,test=develop
* fix,test=develop
* fix UT coverage,test=coverage
* fix UT fail,test=coverage
* fix doc,test=develop
* Still has bugs.
* Fixed allclose_op bug, which cannot deal with some cases of fp64 inputs.
* improved CUDA kernel performance.
* Changed CUDA code.
* Fixed a bug in cuda kernel which cannot deal with large dimension input, and added an unittest for it.
* Add a test case for float32 input.
* fix multinomial doc
* fix multinomial error message
* little doc change
* fix Categorical class doc
* optimize format of error message
* fix CPU Kernel error message format
* fix isinf and isnan error in WindowsOPENBLAS CI
* delete inf and nan
* add manual_seed in sample code
* little error message change
* change error message to InvalidArgument
* add full point for error message and add manual_seed in CPU environment
* Add truncated_gaussian_random_op XPU kernel
* Add truncated_gaussian_random_op XPU kernel, test=kunlun
* little change, test=kunlun
* change boost_get to BOOST_GET_CONST
* change boost_get to BOOST_GET_CONST, test=kunlun
* little change, test=kunlun
* use Generator to generate random number and optimize format, test=kunlun
* little change, test=kunlun
* add TODO, test=kunlun
* Add gaussian_random XPU kernels
* commit kunlun, test=kunlun
* new version, test=kunlun
* change boost_get to BOOST_GET_CONST, test=kunlun
* use Generator to generate random number and optimize format, test=kunlun
* add TODO, test=kunlun
* support uniform_random op on Baidu Kunlun
* change dtype of attr shape from int to int64_t
* kunlun ci, test=kunlun
* new version, test=kunlun
* change boost_get to BOOST_GET_CONST
* change boost_get to BOOST_GET_CONST, test=kunlun
* use Generator to generate random number and optimize format
* run Kunlun CI, test=kunlun
* add TODO, test=kunlun
* Incorporate cudnn_lstm into LSTM api.
test=develop
* Make coalesce_tensor support alignment optionally.
test=develop
* Reorganize RNN apis. test=develop
* Fix cudnn rnn layout conversion.
test=develop
* Add sequence_length support for RNN cudnn implement.
Add optional init_h and init_c gradient for cudnn_lstm_op.
test=develop
* Use create_parameter for rnn cudnn impl.
test=develop
* Move `self._flat_weight = self.create_parameter()` in RNNBase to main_program.
test=develop
* Update RNN api unittest to use set_device.
test=develop
* Fix set_place for unit tests of RNN apis.
test=develop
* Fix use_align in coalesce_tensor_op.
test=develop
* Adjust RNN apis arguments according to comments.
test=develop
* Polish documents for SimpleRNN apis.
test=develop
* Refine random seed in cudnn_lstm_op.
Expose rnn params from sublayers to RNN.
test=develop
* Fix RNN saving for jit.save.
Refine cudnn_lstm dropout behavior.
test=develop
* Fix doc of GRU. test=develop
* Use ShareDataWith to avoid copying for cudnn_lstm_op test.
test=develop
* Remove updates on cudnn_lstm temporarily.
test=develop
* Use ShareDataWith to avoid copying for cudnn_lstm_op test.
test=develop
* Refine random seed in cudnn_lstm_op.
test=develop
* Fix test_lstm by adjust ConcreteProgram buffer getter.
test=develop
* Use create_parameter instead of create_var for rnn._flat_weight for static graph usage.
test=develop
* Remove W input for cudnn_lstm to pass unused_var_check.
test=develop
* Add test_predict for RNN unit tests coverage.
test=develop
* Fix code style of rnn.
test=develop
* Fix F.rnn usage in rnn.py.
test=develop
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