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按照quick start运行出错 #43

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LooJee opened this issue Sep 6, 2016 · 3 comments
Closed

按照quick start运行出错 #43

LooJee opened this issue Sep 6, 2016 · 3 comments

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@LooJee
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LooJee commented Sep 6, 2016

您好，我按照你们的quick start配置好了环境，运行train.sh的时候报了错误：
/usr/local/bin/paddle: line 46: 4977 Illegal instruction (core dumped) ${DEBUGGER} $MYDIR/../opt/paddle/bin/paddle_trainer ${@:2}
@LooJee
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LooJee commented Sep 6, 2016

我用的是ubuntu14.04的虚拟机。不知道和指令集有没有关系，我先把本地支持的指令集放上来：
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts mmx fxsr sse sse2 ss syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon pebs bts nopl xtopology tsc_reliable nonstop_tsc aperfmperf eagerfpu pni pclmulqdq ssse3 cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer xsave rdrand hypervisor lahf_lm abm arat epb pln pts dtherm fsgsbase tsc_adjust invpcid xsaveopt

@lqniunjunlper
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我之前也遇到过 不支持AVX。CMAKE时关闭WITH_AVX

@LooJee
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LooJee commented Sep 6, 2016

谢谢，确实是因为不支持AVX的原因，在 cmake 的时候加上 -DWITH_AVX=OFF 就行了。

@LooJee LooJee closed this as completed Sep 6, 2016
qingqing01 pushed a commit to qingqing01/Paddle that referenced this issue Apr 30, 2020
@xyzhou-puck
Merge pull request PaddlePaddle#43 from xixiaoyao/master
725536c 
add nlp pretrained models
@DemoMoon DemoMoon mentioned this issue Mar 24, 2021
Closed
CtfGo pushed a commit to CtfGo/Paddle that referenced this issue Sep 2, 2021
add maximum op (PaddlePaddle#43)
023f984 
* add maximum
KPatr1ck added a commit to KPatr1ck/Paddle that referenced this issue Sep 15, 2021
@KPatr1ck
Add api doc and update unittest. (PaddlePaddle#43)
c0289d1 
* Add doc strings.
* Update overlap_add op unittest
XiaoguangHu01 pushed a commit that referenced this issue Sep 18, 2021
@jeff41404 @KPatr1ck
@lijiaqi0612 @cxxly
Add FFT related operators and APIs (#35665)
11518a4 
* 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
@jeff41404 @KPatr1ck
@lijiaqi0612 @cxxly @AnnaTrainingG
Add FFT related operators and APIs (PaddlePaddle#35665)
3a65093 
* 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
@Superjomn
Merge pull request PaddlePaddle#43 from Superjomn/remove/placeholder-…
1033f4f 
…in-schedule

remove placeholder in schedule
gglin001 added a commit to graphcore/Paddle-fork that referenced this issue Dec 8, 2021
@gglin001
Split canonical ops (PaddlePaddle#43)
7234141 
* move popart_canonicalization files
* split popart_canonicalization ops
wangxicoding pushed a commit to wangxicoding/Paddle that referenced this issue Dec 9, 2021
@smallv0221
Add Dureader-robust, CMRC2018, DRCD datasets and example. (PaddlePadd…
f0d517a 
…le#43)

* fix dataset doc and fix roberta tokenizer and update SQuAD example

* Change to relative link

* Update annotation.

* Minor fix

* Add Dureader-robust, CMRC2018, DRCD datasets and example.
Fix tokenizer_utils.py to adapt unk_token.
Simplify dependency.

* Serveral fixes and updates

* minor fix
paddle-bot-old bot pushed a commit that referenced this issue Feb 24, 2022
Merge pull request #43 from haohongxiang/fix_bug_of_recompute
3f27dea 
fix bug of recompute in moe_layer
danleifeng pushed a commit to danleifeng/Paddle that referenced this issue Jun 22, 2022
@huwei02
fix compile error (PaddlePaddle#43)
75630e9 
Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com>
zmxdream added a commit to zmxdream/Paddle that referenced this issue Jul 22, 2022
@zmxdream
[GPUPS]Fix psgpuwrapper initialization (PaddlePaddle#44468) (PaddlePa…
335f083 
…ddle#43)

* Update ps_gpu_wrapper.h

* Update ps_gpu_wrapper.h

* Update ps_gpu_wrapper.cc
AnnaTrainingG pushed a commit to AnnaTrainingG/Paddle that referenced this issue Sep 19, 2022
@qingqing01
Add contribute doc (PaddlePaddle#43)
359db9c 
* Add contribute doc
* Fix comments
zmxdream added a commit to zmxdream/Paddle that referenced this issue Nov 2, 2022
@zmxdream
[GPUPS]Fix psgpuwrapper initialization (PaddlePaddle#44468) (PaddlePa…
de8499c 
…ddle#43)

* Update ps_gpu_wrapper.h

* Update ps_gpu_wrapper.h

* Update ps_gpu_wrapper.cc
jack603047588 referenced this issue in jack603047588/Paddle Nov 9, 2022
@ForFishes
Add cross batch wasq (#43)
ab2db95
jack603047588 referenced this issue in jack603047588/Paddle Nov 9, 2022
@qingshui
Merge pull request #43 from qingshui/paddlebox
1d813ff 
remove FLAGS_padbox_auc_runner_mode gflags, remove same merge pv cond…
qizhaoaoe pushed a commit to qizhaoaoe/Paddle that referenced this issue Mar 3, 2023
fix logger (PaddlePaddle#43)
415329e
AnnaTrainingG pushed a commit to AnnaTrainingG/Paddle that referenced this issue Dec 6, 2023
@tridao
Merge pull request PaddlePaddle#43 from eric-tc-wong/patch-1
04fb198 
Update flash_attention.py
lizexu123 pushed a commit to lizexu123/Paddle that referenced this issue Feb 23, 2024
@heavengate @baiyfbupt
disable guess_language in codehighlite (PaddlePaddle#43)
405a468
hanhaowen-mt pushed a commit to hanhaowen-mt/Paddle that referenced this issue Feb 29, 2024
@caizhi-mt @mt-robot
Merge pull request PaddlePaddle#43 from mthreads/fix_blas
1ee924d 
[MTAI-484] fix(build): modify format for MUSA
feifei-111 pushed a commit to feifei-111/Paddle that referenced this issue Mar 10, 2024
@tc20042008
Merge pull request PaddlePaddle#43 from tc20042008/xk-cinn-trivalop-fuse
97735a1 
fix compiler complaints
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@lqniunjunlper @LooJee