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paddle.trainer .config_parser #6
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paddlepaddle has not been tested against anaconda python. Can you check which python paddlepaddle is linked with by looking at build/CMakeCache file? |
Maybe you need install PaddlePaddle's python package manually. Try to find the file paddle*.whl in your install directory. It normally at "/usr/local/opt/paddle/share/wheels/" if you did not change DESTDIR or CMAKE_INSTALL_PREFIX. During make process, PaddlePaddle will install some python package to default python interpreter in system, not anaconda. |
I added this to build: cmake -DWITH_GPU=ON -DWITH_DOC=OFF -DWITH_SWIG_PY=ON -DCMAKE_INSTALL_PREFIX=/home/youhost -DPYTHON_INCLUDE_DIR=/home/youhost/anaconda/include/python2.7 -DPYTHON_LIBRARY=/home/youhost/anaconda/lib/libpython2.7.so .. From cmake file , I found this: build successed -- Found PythonLibs: /home/youhost/anaconda/lib/libpython2.7.so (found suitable version "2.7.12", minimum required is "2.7") but But still has this error ... F0831 20:01:44.284020 28877 PythonUtil.cpp:120] Check failed: (pyModule) != nullptr Python Error: <type 'exceptions.ImportError'> : No module named paddle.trainer.config_parser 太多坑了啊. Another: gflags no found . -- No preference for use of exported gflags CMake configuration set, and no hints for include/library directories provided. Defaulting to preferring an installed/exported gflags CMake configuration if available. Hope your team slove this , Thank you every much~ |
@reyoung yes . pypaddle_.whl and paddle_.whl in my install path. |
@mingtop Just run anaconda's pip install these wheels, and will solve this problem like this http://stackoverflow.com/questions/28002897/wheel-file-installation |
I'm having the same problem when calling train.sh |
@mingtop @Xiaomi2008 I have tested against anaconda2 python, I can run train.sh successfully. And the python package is installed in @Xiaomi2008 You may need to install PaddlePaddle's python package manually as @reyoung mentioned above. |
@qingqing01 |
@Xiaomi2008 You should ensure that the python used for compiling and running PaddlePaddle is the same. Then if you have install paddle-xxx.wh successfully. You maybe see the package like: You can test it as follows. If there is no problem when importing, then installation is successful and I think it will be ok when run train.sh.
|
@qingqing01 I did see paddle in xxx/lib/python2.7/site-packages/paddle-0.8.0b0-py2.7.egg/ |
@Xiaomi2008 Will the latest PaddlePaddle get this error? We did some fixes in 674d69c . |
还是有 ImportError: No module named _sysconfigdata_nd的错误 |
…amework_proto Feature/refactorize framework proto
* initial tensor design & sign kernel demo * add move constructor for meta & add lodtensor * add dirs & sign xpu kernel * add mean cpu&cuda kernel impl * move sign & mean xpu & npu kernel * add selected_rows basic impl * refactor design, BaseTensor to DenseTensor, etc. * add scale mkldnn kernel * polish xpu & npu impl details * fix mkldnn reuse compile failed * change tensor operation lib name * rename util filename * add more comments * change TensorImplInterface to TensorInterface * add kernel key and factory * remove MKLDNNTensorMeta, add MKLDNNDenseTensor * change XXDeviceContext to XXContext * add base kernel registrar utils & test on sign * replace boost::any by paddle::any * fix several ci failed * fix npu compile error * add ordered map util * fix multiple ordered_map compile errors * move dev into include dir * support sign op in static op run * fix static op run error * fix new executor compile failed * add dygraph branch & remove sign_op.h * fix test_infer_no_need_buffer_slots * fix rocm compile link error * fix unitybuild error & clear glog * fix npu compile failed * skip quant trans test * fix part windows compile problem * fix xpu enforce error * fix inference test failed * remove ordered_map to solve quant failed * fix part of rcom compile faild * add more register kernels * revert scale kernel temporarily * fix code format error * add new kernel registrar marco * rename top to tcmpt * revert xpu, npu, mkldnn impl & remove op def * add kernel args parse functor to auto parse args * revert some change & add scale kernels * add op proto in dygraph kernelcontext building * polish kernel dispatch logic & nameing rule * fix scale kernel match error * fix scale test failed * add mean API and unittest * test mean api success * add branch to solve compiled error * skip clang format error * add mean skip rule in op_library * add dot kernel, api and unittest (#6) * remove old kernel and add symbol link * fix dot compiled failed * add merco for module declare * fix npu and xpu compile error * revert sign, mean, scale, dot kernel removing * add comment for keeping old kernel impl * fix mutable_data error * fix bfloat16 conflit * fix inference undef error * adapt to msvc compile rules * polish comment for template inst * add cmake template instantiation for win * fix backend to place device id bug * fix ifdef error * Op2functor (#7) * add kernel args maker class * make args maker non-const * remove debug log * modify codes by review options * split constructPrKernelContext function * fix output name bug * fix test_mean_op test_sign_op failed * fill_any_like kernel refactor (#10) * fill_any_like kernel refactor * remove useless code of full_like c++ api * skip dtype for fill_any_like * add attrs for kernel key constrcut * add use_pt_kernel Flags to control whether to use pt kernel (#13) * add use_pt_kernel Flags to control whether to use pt kernel * change the default value to true for cheking pt kernels * fix mutable_data cuda place error * move high level apis into hapi * remove selectedrows adapting temporarily * Support Scalar in Tensor Compute Library (#14) * fill_any_like kernel refactor * remove useless code of full_like c++ api * Support Scalar in Tensor Compute Library * add scalar in dygraph and static graph mode * keep the basic type for attr, instead of using scalar for all * merge the code * remove mkldnn tensor & polish details * use flat_hash_map and small_vector in kernel factory * Refactor flatten kernel (#12) * refactor flatten kernel * update infershape function * fix compile bugs * fix bugs when merge * fix compiler bugs * fix bugs when run test_flatten_api * fix bugs when run test * Revert "use flat_hash_map and small_vector in kernel factory" This reverts commit 2309149. * Move cpu, cuda and other device code into kernels (#15) * fill_any_like kernel refactor * remove useless code of full_like c++ api * Support Scalar in Tensor Compute Library * add scalar in dygraph and static graph mode * keep the basic type for attr, instead of using scalar for all * merge the code * start refactor matmul * move cpu, cuda and other device modules into kernels * merge code * polish code in operator.cc * Perfect unitests (#16) * perfect unittest * update license * replace with flat_hash_map, small_vector (#19) * fix small_vector build error on windows platform * replace with flat_hash_map, small_vector * remove todo * Perfect unitests (#20) * perfect unittest * update license * fix bug when run tcmpt_utils_test * refactor execution adapting impl * fix insert conflit * Fix CI bug of test_yolov3 (#21) * fill_any_like kernel refactor * remove useless code of full_like c++ api * Support Scalar in Tensor Compute Library * add scalar in dygraph and static graph mode * keep the basic type for attr, instead of using scalar for all * merge the code * start refactor matmul * move cpu, cuda and other device modules into kernels * merge code * polish code in operator.cc * Fix CI bug of test_yolov3 * add the tensor base class, test=develop (#17) * update the tensor base class, test=develop * remove two funcs, test=develop * update the error msg, test=develop Co-authored-by: Chen Weihang <chenweihang@baidu.com> * [no-verify] commit backend and tensor signature changes * Rename tcmpt to pten (#23) * rename tcmpt to pten * update omitted files for rename to pten * update omitted file for rename to pten * remove k of all enum var * remove kernel_instantiate (#26) * remove symbols and spatial_tensor * change common to functions * readd share tensor impl methods * add a candidate dense tensor class, test=develop (#28) * change all Pt to Pten * resolve conflit with xiaowei * Op2functor opt1 (#27) * replace to small vector and change to const & * add std::move Co-authored-by: Chen Weihang <chenweihang@baidu.com> * polish kernel factory and kernel registry * fix operator test error msg mismatch * remove tensor signature and backend set member * move scalar and polish enforce * revert dtype layout change to fix error * fix enum operator override error * Add Intermediate API layer * add several base unittests * add pten utils tests * polish some details * Dev/op2func refactor 3 (#30) * add a candidate dense tensor class, test=develop * remove TensorBase::backend(), test=develop * remove some ops, test=develop * cherry-pick the pr of tensor meta, test=develop * moves the dense tensor and some ops, test=develop * update the linalg operator, test=develop * update other operators, test=develop * fix errors, test=develop * fix bugs, test=develop * try to resolve the problem of windows ci, test=develop * updates codes, test=develop * fix the tensor_utils.cc, test=develop * modify the dense tensor, test=develop * fix the data type, test=develop Co-authored-by: shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com> * intermediate api adapt to new dense tensor * add some TODO and delete include header * Support XPU for Flatten Kernel * fix bugs when run kunlun ci * fix compile bugs * fix bugs for kunlun ci * fix compile bugs when run kunlun * fix compile bugs in kunlun * fix compile bugs in kunlun * fix bugs when compile * fix bugs when compile * fix compile bug * delete useless annotation Co-authored-by: Chen Weihang <chenweihang@baidu.com> Co-authored-by: chentianyu03 <ctychentianyu@gmail.com> Co-authored-by: zyfncg <1370305206@qq.com> Co-authored-by: 石晓伟 <39303645+Shixiaowei02@users.noreply.github.com>
* initial tensor design & sign kernel demo * add move constructor for meta & add lodtensor * add dirs & sign xpu kernel * add mean cpu&cuda kernel impl * move sign & mean xpu & npu kernel * add selected_rows basic impl * refactor design, BaseTensor to DenseTensor, etc. * add scale mkldnn kernel * polish xpu & npu impl details * fix mkldnn reuse compile failed * change tensor operation lib name * rename util filename * add more comments * change TensorImplInterface to TensorInterface * add kernel key and factory * remove MKLDNNTensorMeta, add MKLDNNDenseTensor * change XXDeviceContext to XXContext * add base kernel registrar utils & test on sign * replace boost::any by paddle::any * fix several ci failed * fix npu compile error * add ordered map util * fix multiple ordered_map compile errors * move dev into include dir * support sign op in static op run * fix static op run error * fix new executor compile failed * add dygraph branch & remove sign_op.h * fix test_infer_no_need_buffer_slots * fix rocm compile link error * fix unitybuild error & clear glog * fix npu compile failed * skip quant trans test * fix part windows compile problem * fix xpu enforce error * fix inference test failed * remove ordered_map to solve quant failed * fix part of rcom compile faild * add more register kernels * revert scale kernel temporarily * fix code format error * add new kernel registrar marco * rename top to tcmpt * revert xpu, npu, mkldnn impl & remove op def * add kernel args parse functor to auto parse args * revert some change & add scale kernels * add op proto in dygraph kernelcontext building * polish kernel dispatch logic & nameing rule * fix scale kernel match error * fix scale test failed * add mean API and unittest * test mean api success * add branch to solve compiled error * skip clang format error * add mean skip rule in op_library * add dot kernel, api and unittest (#6) * remove old kernel and add symbol link * fix dot compiled failed * add merco for module declare * fix npu and xpu compile error * revert sign, mean, scale, dot kernel removing * add comment for keeping old kernel impl * fix mutable_data error * fix bfloat16 conflit * fix inference undef error * adapt to msvc compile rules * polish comment for template inst * add cmake template instantiation for win * fix backend to place device id bug * fix ifdef error * Op2functor (#7) * add kernel args maker class * make args maker non-const * remove debug log * modify codes by review options * split constructPrKernelContext function * fix output name bug * fix test_mean_op test_sign_op failed * fill_any_like kernel refactor (#10) * fill_any_like kernel refactor * remove useless code of full_like c++ api * skip dtype for fill_any_like * add attrs for kernel key constrcut * add use_pt_kernel Flags to control whether to use pt kernel (#13) * add use_pt_kernel Flags to control whether to use pt kernel * change the default value to true for cheking pt kernels * fix mutable_data cuda place error * move high level apis into hapi * remove selectedrows adapting temporarily * Support Scalar in Tensor Compute Library (#14) * fill_any_like kernel refactor * remove useless code of full_like c++ api * Support Scalar in Tensor Compute Library * add scalar in dygraph and static graph mode * keep the basic type for attr, instead of using scalar for all * merge the code * remove mkldnn tensor & polish details * use flat_hash_map and small_vector in kernel factory * Refactor flatten kernel (#12) * refactor flatten kernel * update infershape function * fix compile bugs * fix bugs when merge * fix compiler bugs * fix bugs when run test_flatten_api * fix bugs when run test * Revert "use flat_hash_map and small_vector in kernel factory" This reverts commit 2309149. * Move cpu, cuda and other device code into kernels (#15) * fill_any_like kernel refactor * remove useless code of full_like c++ api * Support Scalar in Tensor Compute Library * add scalar in dygraph and static graph mode * keep the basic type for attr, instead of using scalar for all * merge the code * start refactor matmul * move cpu, cuda and other device modules into kernels * merge code * polish code in operator.cc * Perfect unitests (#16) * perfect unittest * update license * replace with flat_hash_map, small_vector (#19) * fix small_vector build error on windows platform * replace with flat_hash_map, small_vector * remove todo * Perfect unitests (#20) * perfect unittest * update license * fix bug when run tcmpt_utils_test * refactor execution adapting impl * fix insert conflit * Fix CI bug of test_yolov3 (#21) * fill_any_like kernel refactor * remove useless code of full_like c++ api * Support Scalar in Tensor Compute Library * add scalar in dygraph and static graph mode * keep the basic type for attr, instead of using scalar for all * merge the code * start refactor matmul * move cpu, cuda and other device modules into kernels * merge code * polish code in operator.cc * Fix CI bug of test_yolov3 * add the tensor base class, test=develop (#17) * update the tensor base class, test=develop * remove two funcs, test=develop * update the error msg, test=develop Co-authored-by: Chen Weihang <chenweihang@baidu.com> * [no-verify] commit backend and tensor signature changes * Rename tcmpt to pten (#23) * rename tcmpt to pten * update omitted files for rename to pten * update omitted file for rename to pten * remove k of all enum var * remove kernel_instantiate (#26) * remove symbols and spatial_tensor * change common to functions * readd share tensor impl methods * add a candidate dense tensor class, test=develop (#28) * change all Pt to Pten * resolve conflit with xiaowei * Op2functor opt1 (#27) * replace to small vector and change to const & * add std::move Co-authored-by: Chen Weihang <chenweihang@baidu.com> * polish kernel factory and kernel registry * fix operator test error msg mismatch * remove tensor signature and backend set member * move scalar and polish enforce * revert dtype layout change to fix error * fix enum operator override error * add several base unittests * add pten utils tests * polish some details * Dev/op2func refactor 3 (#30) * add a candidate dense tensor class, test=develop * remove TensorBase::backend(), test=develop * remove some ops, test=develop * cherry-pick the pr of tensor meta, test=develop * moves the dense tensor and some ops, test=develop * update the linalg operator, test=develop * update other operators, test=develop * fix errors, test=develop * fix bugs, test=develop * try to resolve the problem of windows ci, test=develop * updates codes, test=develop * fix the tensor_utils.cc, test=develop * modify the dense tensor, test=develop * fix the data type, test=develop Co-authored-by: shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com> * polish some details * polish kernel signature details * fix a bug about offsets of the tensor, test=develop (#31) Co-authored-by: shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com> * polish some details * add fill_constant kernel in pten * fix bug of full api (c++) * remove the support for SelectRows in new fill_constant kernel * fix bug of setting fill_any_like kernel key * merge code confilct * modify fill_constant GetExpectedKernelType * fix fill_constant KernelType bug * polish code of build pten KernelContext * refactor code of fill_constant in pten Co-authored-by: Chen Weihang <chenweihang@baidu.com> Co-authored-by: chentianyu03 <ctychentianyu@gmail.com> Co-authored-by: YuanRisheng <yuanrisheng@baidu.com> Co-authored-by: 石晓伟 <39303645+Shixiaowei02@users.noreply.github.com>
* merge pretrain and classifier scripts * Fix bigbird classifier model * remove parse_args * use BigbirdTokenizer instead of spm * use paddlenlp.data.Imdb instead of ImdbDataset * remove BertConfig function * use Adam instead of AdamW * use BigBirdForTokenClassification instead of Classifier * * remove useless args * add save model * add multi process training * add help message of --model_name_or_path * add pretraining * finish training * update BigBirdPretrainingCriterion impl * add the tokenizer encode function for the bigbird * temp * temp * fix the pretrain download parameter * fix the bs 32 for pre-train * update the learning_rate for the train * remove the unuse code for the bigbird * fix the dropout and format the code for bigbird * remove the unuse code in run_classifier.py * merge * fix bigbird sparse grad bug * add the readme for the bigbird * remove chinese comment * add the example data for the bigbird pretrain * fix the load model for the bigbird * upgrade Linear3D * remove useless expand;change to zeros_like * update the seed for the finetune model * change the lr in readme * fix the tokenizer index bug for the bigbird * fix the tokenizer for the bigbird * fix readme * fix readme and comment * change model_name_or_path default value * fix doc description;remove useless code Co-authored-by: fangzeyang <fangzeyang@baidu.com> Co-authored-by: wawltor <fangzeyang0904@hotmail.com>
* add dirichlet sample op and cpu backend kernel * add Dirichlet op cuda kernel (#6) * add dirichlet op hip kernel Co-authored-by: Feiyu Chan <chenfeiyu@baidu.com>
…st=allcases (#38811) * Added shared_ptr<Allocation> member & corresponding interfaces to Storage * Removed original pten::Allocation from Storage and adjusted the interfaces accordingly * Fixed issues with storage offset * Used place to malloc allocation for TensorStorage * [Unify Tensors PR #3]Ported framework::Tensor interfaces to pten::DenseTensor * Fixed issues with place * Added comments * Moved mutable_data with stream argument to DenseTensor * Added set_offset interface * Fixed CI issues,test=allcases * [Unify Tensors PR #4] Port LoDTensor interfaces to DenseTensor * Removed friend class EigenTensor/EigenMatrix/EigenVector from Tensor * Modified framework::Tensor to inherit from DenseTensor * Reverted changes too pten_layout() interface * Removed friend classes * Rearranged cfunction calls from tensor.data<void>() to tensor.data() * Fixed CI issues * Fixed lite issues * Fixed data() interface issues,test=allcases * Resolved IsInitialized() issues * Fixed ResetHolder() issues * Fixed MKLDNN & Storage issues * Resolved ShareBufferWith() issues * Fixed LoD issues * Removed interfaces & members from lod_tensor,test=allcases
add default value for prim_enabled api doc
Add the api doc
[GpuGraph] remove useless variables and adjust log level
[AutoParallel] Update to the new strategy impl
根据cvrq需求,修改dump格式,便于cvrq不修改qcal等相关脚本
add fmt support int8 and fix some int8 bug
fix fusion_helper
I0831 15:27:18.271451 18844 Util.cpp:113] Calling runInitFunctions$MYDIR/../opt/paddle/bin/paddle_trainer $ {@:2}
I0831 15:27:18.271617 18844 Util.cpp:126] Call runInitFunctions done.
F0831 15:27:18.277050 18844 PythonUtil.cpp:120] Check failed: (pyModule) != nullptr Python Error: <type 'exceptions.ImportError'> : No module named paddle.trainer.config_parser
Python Callstack:
Import Python Modulepaddle.trainer.config_parser failed.
*** Check failure stack trace: ***
@ 0x7f6f31c25daa (unknown)
@ 0x7f6f31c25ce4 (unknown)
@ 0x7f6f31c256e6 (unknown)
@ 0x7f6f31c28687 (unknown)
@ 0x832e19 paddle::callPythonFuncRetPyObj()
@ 0x832ffc paddle::callPythonFunc()
@ 0x6a94e3 paddle::TrainerConfigHelper::TrainerConfigHelper()
@ 0x6a9b24 paddle::TrainerConfigHelper::createFromFlags()
@ 0x53af73 main
@ 0x7f6f30e31f45 (unknown)
@ 0x5466b5 (unknown)
@ (nil) (unknown)
/home/jamin/Paddle/bin/paddle: line 46: 18844 Aborted (core dumped) ${DEBUGGER}
I used anaconda python , at first I make install to /opt/Paddle.
I think this error is because I use the sudo make install ?
when I use ipython , I can import paddle.trainer.config_parser well , but I can't train by ./train.sh ,
?
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