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running error! #39

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lqniunjunlper opened this issue Sep 5, 2016 · 4 comments
Closed

running error! #39

lqniunjunlper opened this issue Sep 5, 2016 · 4 comments

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@lqniunjunlper
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When i run the quick_start, i have the following error:
paddle_trainer: error while loading shared libraries: libgflags.so.2: cannot open shared object file: No such file or directory
But i have installed gflags.2.2.0, which includes the following libs:
/usr/local/lib/libgflags.so /usr/local/lib/libgflags.so.2.2.0 /usr/local/lib/libgflags_nothreads.so.2.2
/usr/local/lib/libgflags.so.2.2 /usr/local/lib/libgflags_nothreads.so /usr/local/lib/libgflags_nothreads.so.2.2.0

why paddle use libgflags.so.2 instead of libgflags2.2.0???

Besides, when i installed gflags2.0, which includes libgflags.so.2, but i also have another running error:
paddle: line 46: 1877 Illegal instruction ${DEBUGGER} $MYDIR/../opt/paddle/bin/paddle_trainer ${@:2}

why?

@hedaoyuan
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Contributor

libgflags.so.2 is a symbolic link of libgflags.so.2.2.0.
The reason for paddle use libgflags.so.2 instead of libgflags2.2.0, is libgflags2.1.0 is also ok.
You can add a symbolic link of libgflags, like this: ln -s libgflags.so.2.1.0 libgflags.so.2

@lqniunjunlper
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Thanks @hedaoyuan
I reinstall gflags using gflags-2.1.2 ( [https://github.com/gflags/gflags/releases] ) and these exists libgflags.so,2.
But when i run quick_start demo, i have the another error like this:
/paddle: line 46: 14445 Illegal instruction ${DEBUGGER} $MYDIR/../opt/paddle/bin/paddle_trainer ${@:2}

@emailweixu
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Make sure your cpu support avx instructions. Otherwise you need to compile PaddlePaddle with WITh_AVX turning off for cmake

@lqniunjunlper
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Thanks @emailweixu . The reason is my CPU do not support avx instructions, after turning WITH_AVX OFF, paddle run successfully.

@reyoung reyoung closed this as completed Sep 7, 2016
qingqing01 pushed a commit to qingqing01/Paddle that referenced this issue Apr 30, 2020
thisjiang pushed a commit to thisjiang/Paddle that referenced this issue Aug 31, 2021
* using template for visitor

* remove unused head file and format code

* set except=false
XiaoguangHu01 pushed a commit that referenced this issue Sep 18, 2021
* 1. add interface for fft;
2. add data type predicate;
3. fix paddle.roll.

* add fft c2c cufft kernel

* implement argument checking & op calling parts for fft_c2c and fftn_c2c

* add operator and opmaker definitions

* only register float and double for cpu.

* add common code for implementing FFT, add pocketfft as a dependency

* add fft c2c cufft kernel function

* fix bugs in python interface

* add support for c2r, r2c operators, op makers, kernels and kernel functors.

* test and fix bugs

* 1. fft_c2c function: add support for onesided=False;
2. add complex<float>, complex<double> support for concat and flip.

* 1. fft: fix python api bugs;
2. shape_op: add support for complex data types.

* fft c2c cufft kernel done with complie and link

* fix shape_op, add mkl placeholder

* remove mkl

* complete fft c2c in gpu

* 1. implement mkl-based fft, FFTC2CFunctor and common function exec_fft;
2. change the design, add input and output typename as template parameter for all FFTFunctors, update pocketfft-based implementation.

* complete fft c2c on gpu in ND

* complete fft c2c on gpu in ND

* complete fft c2c backward in ND

* fix MKL-based implementation

* Add frame op and CPU/GPU kernels.

* Add frame op forward unittest.

* Add frame op forward unittest.

* Remove axis parameter in FrameFunctor.

* Add frame op grad CPU/GPU kernels and unittest.

* Add frame op grad CPU/GPU kernels and unittest.

* Update doc string.

* Update after review and remove librosa requirement in unittest.

* Update grad kernel.

* add fft_c2r op

* Remove data allocation in TransCompute function.

* add fft r2c onesided with cpu(pocketfft/mkl) and gpu

* last fft c2r functor

* fix C2R and R2C for cufft, becase the direction is not an option in these cases.

* add fft r2c onesided with cpu(pocketfft/mkl) and gpu

* fix bugs in python APIs

* fix fft_c2r grad kernal

* fix bugs in python APIs

* add cuda fft c2r grad kernal functor

* clean code

* fix fft_c2r python API

* fill fft r2c result with conjugate symmetry (#19)

fill fft r2c result with conjugate symmetry

* add placeholder for unittests (#24)

* simple parameterize test function by auto generate test case from parm list (#25)

* miscellaneous fixes for python APIs (#26)

* add placeholder for unittests

* resize fft inputs before computation is n or s is provided.

* add complex kernels for pad and pad_grad

* simplify argument checking.

* add type promotion

* add int to float or complex promotion

* fix output data type for static mode

* fix fft's input dtype dispatch, import fft to paddle

* fix typos in axes checking (#27)

* fix typos in axes checking

* fix argument checking (#28)

* fix argument checking

* Add C2R Python layer normal and abnormal use cases (#29)

* documents and single case

* test c2r case

* New C2R Python layer normal and exception use cases

* complete rfft,rfft2,rfftn,ihfft,ihfft2,ihfftn unittest and doc string (#30)

* Documentation of the common interfaces of c2r and c2c (#31)

* Documentation of the common interfaces of c2r and c2c

* clean c++ code  (#32)

* clean code

* Add numpy-based implementation of spectral ops (#33)

* add numpy reference implementation of spectral ops

* Add fft_c2r numpy based implementation for unittest. (#34)

* add fft_c2r numpy implementation

* Add deframe op and stft/istft api. (#23)

* Add frame api

* Add deframe op and kernels.

* Add stft and istft apis.

* Add deframe api. Update stft and istft apis.

* Fix bug in frame_from_librosa function when input dims >= 3

* Rename deframe to overlap_add.

* Update istft.

* Update after code review.

* Add overlap_add op and stft/istft api unittest (#35)

* Add overlap_add op unittest.

* Register complex kernels of squeeze/unsquuze op.

* Add stft/istft api unittest.

* Add unittest for fft helper functions (#36)

* add unittests for fft helper functions. add complex kernel for roll op.

* complete static graph unittest for all public api (#37)

* Unittest of op with FFT C2C, C2R and r2c added (#38)

* documents and single case

* test c2r case

* New C2R Python layer normal and exception use cases

* Documentation of the common interfaces of c2r and c2c

* Unittest of op with FFT C2C, C2R and r2c added

Co-authored-by: lijiaqi <lijiaqi0612@163.com>

* add fft related options to CMakeLists.txt

* fix typos and clean code (#39)

* fix invisible character in mkl branch and fix error in error message

* clean code: remove docstring from unittest for signal.py.

* always convert numpy array to paddle.Tensor to avoid comparing numpy dtype with paddle dtype. (#40)

* always convert numpy array to paddle.Tensor to avoid comparing numpy dtype with paddle dtype.

* fix CI Errors: numpy dtype comparison, thrust when cuda is not available (#41)

1. always convert numpy array to paddle.Tensor to avoid comparing numpy dtype with paddle dtype.
2. promote floating point tensor to complex tensor ior fft_c2c and fft_c2r;
3. fix unittest to catch UnImplementedError and RuntimeError;
4. fix compile error by avoid using thrust when cuda is not available.
5.  fix sample code, use paddle.fft instead of paddle.tensor.fft

* remove inclusion of thrust, add __all__ list for fft (#42)

* Add api doc and update unittest. (#43)

* Add doc strings.
* Update overlap_add op unittest

* fix MKL-based FFT implementation (#44)

* fix MKL-based FFT implementation, MKL CDFT's FORWARD DOMAIN is always REAL for R2C and C2R

* remove code for debug (#45)

* use dynload for cufft (#46)

* use std::ptrdiff_t as datatype of stride (instead of int64_t) to avoid argument mismatch on some platforms.

* add complex support for fill_zeros_like

* use dynload for cufft

* Update doc and unittest. (#47)

* Add doc of frame op and overlap_add op.

* Update unittest.

* use dynload for cufft (#48)

1. use dynload for cufft
2. fix unittest;
3. temporarily disable Rocm.

* fix conflicts and merge upstream (#49)

fix conflicts and merge upstream

* fix compile error: only link dyload_cuda when cuda is available (#50)

* fix compile error: only link dyload_cuda when cuda is available

* fix dynload for cufft on windows (#51)

1. fix dynload for cufft on windows;
2. fix unittests.

* add NOMINMAX to compile on windows (#52)

 add NOMINMAX to compile on windows

* explicitly specify capture mode for lambdas (#55)

 explicitly specify capture mode for lambdas

* fix fft sample (#53)

* fix fft sample

* update scipy and numpy version for unittests of fft (#56)

update scipy and numpy version for unittests of fft

* Add static graph unittests of frame and overlap_add api. (#57)

* Remove cache of cuFFT & Disable ONEMKL (#59)

1. replace numpy.fft with scipy.fft as numpy<1.20 not support ortho norm
2. remove cache of cufft plans;
3. enhance error checking.
4. default WITH_ONEMKL to OFF

Co-authored-by: jeff41404 <jeff41404@gmail.com>
Co-authored-by: root <root@bjyz-sys-gpu-kongming9.bjyz.baidu.com>
Co-authored-by: KP <109694228@qq.com>
Co-authored-by: lijiaqi <lijiaqi0612@163.com>
Co-authored-by: Xiaoxu Chen <chenxx_id@163.com>
Co-authored-by: lijiaqi0612 <33169170+lijiaqi0612@users.noreply.github.com>
AnnaTrainingG pushed a commit to AnnaTrainingG/Paddle that referenced this issue Sep 29, 2021
* 1. add interface for fft;
2. add data type predicate;
3. fix paddle.roll.

* add fft c2c cufft kernel

* implement argument checking & op calling parts for fft_c2c and fftn_c2c

* add operator and opmaker definitions

* only register float and double for cpu.

* add common code for implementing FFT, add pocketfft as a dependency

* add fft c2c cufft kernel function

* fix bugs in python interface

* add support for c2r, r2c operators, op makers, kernels and kernel functors.

* test and fix bugs

* 1. fft_c2c function: add support for onesided=False;
2. add complex<float>, complex<double> support for concat and flip.

* 1. fft: fix python api bugs;
2. shape_op: add support for complex data types.

* fft c2c cufft kernel done with complie and link

* fix shape_op, add mkl placeholder

* remove mkl

* complete fft c2c in gpu

* 1. implement mkl-based fft, FFTC2CFunctor and common function exec_fft;
2. change the design, add input and output typename as template parameter for all FFTFunctors, update pocketfft-based implementation.

* complete fft c2c on gpu in ND

* complete fft c2c on gpu in ND

* complete fft c2c backward in ND

* fix MKL-based implementation

* Add frame op and CPU/GPU kernels.

* Add frame op forward unittest.

* Add frame op forward unittest.

* Remove axis parameter in FrameFunctor.

* Add frame op grad CPU/GPU kernels and unittest.

* Add frame op grad CPU/GPU kernels and unittest.

* Update doc string.

* Update after review and remove librosa requirement in unittest.

* Update grad kernel.

* add fft_c2r op

* Remove data allocation in TransCompute function.

* add fft r2c onesided with cpu(pocketfft/mkl) and gpu

* last fft c2r functor

* fix C2R and R2C for cufft, becase the direction is not an option in these cases.

* add fft r2c onesided with cpu(pocketfft/mkl) and gpu

* fix bugs in python APIs

* fix fft_c2r grad kernal

* fix bugs in python APIs

* add cuda fft c2r grad kernal functor

* clean code

* fix fft_c2r python API

* fill fft r2c result with conjugate symmetry (#19)

fill fft r2c result with conjugate symmetry

* add placeholder for unittests (#24)

* simple parameterize test function by auto generate test case from parm list (#25)

* miscellaneous fixes for python APIs (#26)

* add placeholder for unittests

* resize fft inputs before computation is n or s is provided.

* add complex kernels for pad and pad_grad

* simplify argument checking.

* add type promotion

* add int to float or complex promotion

* fix output data type for static mode

* fix fft's input dtype dispatch, import fft to paddle

* fix typos in axes checking (#27)

* fix typos in axes checking

* fix argument checking (#28)

* fix argument checking

* Add C2R Python layer normal and abnormal use cases (#29)

* documents and single case

* test c2r case

* New C2R Python layer normal and exception use cases

* complete rfft,rfft2,rfftn,ihfft,ihfft2,ihfftn unittest and doc string (PaddlePaddle#30)

* Documentation of the common interfaces of c2r and c2c (PaddlePaddle#31)

* Documentation of the common interfaces of c2r and c2c

* clean c++ code  (PaddlePaddle#32)

* clean code

* Add numpy-based implementation of spectral ops (PaddlePaddle#33)

* add numpy reference implementation of spectral ops

* Add fft_c2r numpy based implementation for unittest. (PaddlePaddle#34)

* add fft_c2r numpy implementation

* Add deframe op and stft/istft api. (#23)

* Add frame api

* Add deframe op and kernels.

* Add stft and istft apis.

* Add deframe api. Update stft and istft apis.

* Fix bug in frame_from_librosa function when input dims >= 3

* Rename deframe to overlap_add.

* Update istft.

* Update after code review.

* Add overlap_add op and stft/istft api unittest (PaddlePaddle#35)

* Add overlap_add op unittest.

* Register complex kernels of squeeze/unsquuze op.

* Add stft/istft api unittest.

* Add unittest for fft helper functions (PaddlePaddle#36)

* add unittests for fft helper functions. add complex kernel for roll op.

* complete static graph unittest for all public api (PaddlePaddle#37)

* Unittest of op with FFT C2C, C2R and r2c added (PaddlePaddle#38)

* documents and single case

* test c2r case

* New C2R Python layer normal and exception use cases

* Documentation of the common interfaces of c2r and c2c

* Unittest of op with FFT C2C, C2R and r2c added

Co-authored-by: lijiaqi <lijiaqi0612@163.com>

* add fft related options to CMakeLists.txt

* fix typos and clean code (PaddlePaddle#39)

* fix invisible character in mkl branch and fix error in error message

* clean code: remove docstring from unittest for signal.py.

* always convert numpy array to paddle.Tensor to avoid comparing numpy dtype with paddle dtype. (PaddlePaddle#40)

* always convert numpy array to paddle.Tensor to avoid comparing numpy dtype with paddle dtype.

* fix CI Errors: numpy dtype comparison, thrust when cuda is not available (PaddlePaddle#41)

1. always convert numpy array to paddle.Tensor to avoid comparing numpy dtype with paddle dtype.
2. promote floating point tensor to complex tensor ior fft_c2c and fft_c2r;
3. fix unittest to catch UnImplementedError and RuntimeError;
4. fix compile error by avoid using thrust when cuda is not available.
5.  fix sample code, use paddle.fft instead of paddle.tensor.fft

* remove inclusion of thrust, add __all__ list for fft (PaddlePaddle#42)

* Add api doc and update unittest. (PaddlePaddle#43)

* Add doc strings.
* Update overlap_add op unittest

* fix MKL-based FFT implementation (PaddlePaddle#44)

* fix MKL-based FFT implementation, MKL CDFT's FORWARD DOMAIN is always REAL for R2C and C2R

* remove code for debug (PaddlePaddle#45)

* use dynload for cufft (PaddlePaddle#46)

* use std::ptrdiff_t as datatype of stride (instead of int64_t) to avoid argument mismatch on some platforms.

* add complex support for fill_zeros_like

* use dynload for cufft

* Update doc and unittest. (PaddlePaddle#47)

* Add doc of frame op and overlap_add op.

* Update unittest.

* use dynload for cufft (PaddlePaddle#48)

1. use dynload for cufft
2. fix unittest;
3. temporarily disable Rocm.

* fix conflicts and merge upstream (PaddlePaddle#49)

fix conflicts and merge upstream

* fix compile error: only link dyload_cuda when cuda is available (PaddlePaddle#50)

* fix compile error: only link dyload_cuda when cuda is available

* fix dynload for cufft on windows (PaddlePaddle#51)

1. fix dynload for cufft on windows;
2. fix unittests.

* add NOMINMAX to compile on windows (PaddlePaddle#52)

 add NOMINMAX to compile on windows

* explicitly specify capture mode for lambdas (PaddlePaddle#55)

 explicitly specify capture mode for lambdas

* fix fft sample (PaddlePaddle#53)

* fix fft sample

* update scipy and numpy version for unittests of fft (PaddlePaddle#56)

update scipy and numpy version for unittests of fft

* Add static graph unittests of frame and overlap_add api. (PaddlePaddle#57)

* Remove cache of cuFFT & Disable ONEMKL (PaddlePaddle#59)

1. replace numpy.fft with scipy.fft as numpy<1.20 not support ortho norm
2. remove cache of cufft plans;
3. enhance error checking.
4. default WITH_ONEMKL to OFF

Co-authored-by: jeff41404 <jeff41404@gmail.com>
Co-authored-by: root <root@bjyz-sys-gpu-kongming9.bjyz.baidu.com>
Co-authored-by: KP <109694228@qq.com>
Co-authored-by: lijiaqi <lijiaqi0612@163.com>
Co-authored-by: Xiaoxu Chen <chenxx_id@163.com>
Co-authored-by: lijiaqi0612 <33169170+lijiaqi0612@users.noreply.github.com>
thisjiang pushed a commit to thisjiang/Paddle that referenced this issue Oct 28, 2021
zhoutianzi666 pushed a commit to zhoutianzi666/Paddle that referenced this issue May 23, 2022
DesmonDay pushed a commit to DesmonDay/Paddle that referenced this issue Jun 28, 2022
* fix adam with multi dim; test=develop
zmxdream pushed a commit to zmxdream/Paddle that referenced this issue Jul 7, 2022
AnnaTrainingG pushed a commit to AnnaTrainingG/Paddle that referenced this issue Sep 19, 2022
refine loss related code and align to the newest develop api
YuanRisheng added a commit to YuanRisheng/Paddle that referenced this issue Oct 21, 2022
chenwhql added a commit that referenced this issue Nov 1, 2022
* add extra attr property set

* add type_info for all context

* add onednn context to all context

* fix context compile error

* simplify conv kernel args

* pass runtime attr into dev_ctx

* fix marco error

* clear conv_grad_kernel extra args

* merge conv_grad_grad into conv_grad

* clear conv2d_grad_grad extra attrs

* clear yaml and eager extra attr

* fix conv1d error

* change to thread local

* fix npu compile failed

* try to fix windows compile failed

* add conv2d onednn phi kernel

* fix ci bugs (#36)

* fix compile bugs (#38)

* fix extra input transform bug (#39)

* support dynamic created attr (#40)

* reset extra info gen code

* rm conv_grad_grad kernel

* reimpl pass attr adapting

* add int attr support

* remove vector inputnames creating

* fix map at error

* Update paddle/phi/kernels/onednn/conv_grad_kernel.cc

Co-authored-by: Sławomir Siwek <slawomir.siwek@intel.com>

* remove useless extra attrs

* replace mkldnn_engine by onednn_engine

Co-authored-by: YuanRisheng <yuanrisheng@baidu.com>
Co-authored-by: Sławomir Siwek <slawomir.siwek@intel.com>
YuanRisheng added a commit that referenced this issue Nov 3, 2022
* add extra attr property set

* add type_info for all context

* add onednn context to all context

* fix context compile error

* simplify conv kernel args

* pass runtime attr into dev_ctx

* fix marco error

* clear conv_grad_kernel extra args

* merge conv_grad_grad into conv_grad

* clear conv2d_grad_grad extra attrs

* remove redundant imports

* migrate softmax

* clear yaml and eager extra attr

* fix conv1d error

* change to thread local

* fix npu compile failed

* try to fix windows compile failed

* add conv2d onednn phi kernel

* fix ci bugs (#36)

* fix compile bugs (#38)

* fix extra input transform bug (#39)

* support dynamic created attr (#40)

* reset extra info gen code

* rm conv_grad_grad kernel

* reimpl pass attr adapting

* add int attr support

* remove vector inputnames creating

* merge dev

* fix map at error

* adjust attribute

* adapt funcs to PHI

Co-authored-by: Chen Weihang <chenweihang@baidu.com>
Co-authored-by: YuanRisheng <yuanrisheng@baidu.com>
YuanRisheng added a commit that referenced this issue Nov 4, 2022
* add extra attr property set

* add type_info for all context

* add onednn context to all context

* fix context compile error

* simplify conv kernel args

* pass runtime attr into dev_ctx

* fix marco error

* clear conv_grad_kernel extra args

* merge conv_grad_grad into conv_grad

* clear conv2d_grad_grad extra attrs

* remove redundant imports

* migrate softmax

* clear yaml and eager extra attr

* fix conv1d error

* change to thread local

* fix npu compile failed

* try to fix windows compile failed

* add conv2d onednn phi kernel

* fix ci bugs (#36)

* fix compile bugs (#38)

* fix extra input transform bug (#39)

* support dynamic created attr (#40)

* reset extra info gen code

* rm conv_grad_grad kernel

* reimpl pass attr adapting

* add int attr support

* remove vector inputnames creating

* merge dev

* fix map at error

* adjust attribute

* adapt funcs to PHI

* init

* adjust imports

* support postops

* format codeblocks

* revert changes to softmax

Co-authored-by: Chen Weihang <chenweihang@baidu.com>
Co-authored-by: YuanRisheng <yuanrisheng@baidu.com>
YuanRisheng added a commit that referenced this issue Nov 4, 2022
* add extra attr property set

* add type_info for all context

* add onednn context to all context

* fix context compile error

* simplify conv kernel args

* pass runtime attr into dev_ctx

* fix marco error

* clear conv_grad_kernel extra args

* merge conv_grad_grad into conv_grad

* clear conv2d_grad_grad extra attrs

* clear yaml and eager extra attr

* fix conv1d error

* change to thread local

* fix npu compile failed

* try to fix windows compile failed

* add conv2d onednn phi kernel

* fix ci bugs (#36)

* fix compile bugs (#38)

* fix extra input transform bug (#39)

* support dynamic created attr (#40)

* reset extra info gen code

* rm conv_grad_grad kernel

* reimpl pass attr adapting

* add int attr support

* remove vector inputnames creating

* fix map at error

* Update paddle/phi/kernels/onednn/conv_grad_kernel.cc

Co-authored-by: Sławomir Siwek <slawomir.siwek@intel.com>

* remove useless extra attrs

* replace mkldnn_engine by onednn_engine

* Migrate pool+grad to PHI

* Update paddle/fluid/operators/mkldnn/test_mkldnn_op_nhwc.cc

Co-authored-by: Sławomir Siwek <slawomir.siwek@intel.com>

* Update paddle/phi/kernels/onednn/pool_grad_kernel.cc

Co-authored-by: Sławomir Siwek <slawomir.siwek@intel.com>

* Update paddle/phi/kernels/onednn/pool_kernel.cc

Co-authored-by: Sławomir Siwek <slawomir.siwek@intel.com>

Co-authored-by: Chen Weihang <chenweihang@baidu.com>
Co-authored-by: YuanRisheng <yuanrisheng@baidu.com>
Co-authored-by: Chen Weihang <chenwhpro@163.com>
Co-authored-by: Sławomir Siwek <slawomir.siwek@intel.com>
qizhaoaoe pushed a commit to qizhaoaoe/Paddle that referenced this issue Mar 3, 2023
* add separate docs dir
zyfncg pushed a commit to zyfncg/Paddle that referenced this issue Oct 13, 2023
Update anchor node judgment logic
zmxdream pushed a commit to zmxdream/Paddle that referenced this issue Jan 9, 2024
lizexu123 pushed a commit to lizexu123/Paddle that referenced this issue Feb 23, 2024
hanhaowen-mt pushed a commit to hanhaowen-mt/Paddle that referenced this issue Feb 29, 2024
[MTAI-484] fix(build): disable mublasLt for MUSA
feifei-111 pushed a commit to feifei-111/Paddle that referenced this issue Mar 9, 2024
implement group_pattern_util.GetShardableAxesSignature
kircle888 added a commit to kircle888/Paddle that referenced this issue Jul 7, 2024
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