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building error #24

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lixx1746 opened this issue Sep 2, 2016 · 6 comments
Closed

building error #24

lixx1746 opened this issue Sep 2, 2016 · 6 comments
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compile error

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@lixx1746
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lixx1746 commented Sep 2, 2016

Hi,
When building paddle with gcc4.8.2, there is an error:
Building CXX object paddle/utils/CMakeFiles/paddle_utils.dir/PythonUtil.cpp.o
/usr/local/include/python2.7/pyport.h:871:76: error: 'PyArg_ParseTuple' is an unrecognized format function type [-Werror=format=]

Thanks.
@qingqing01
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qingqing01 commented Sep 2, 2016 •
edited

@lixx1746 Hi, maybe, you can add -Wformat in COMMON_FLAGS of paddle/cmake/flags.cmake like:

set(COMMON_FLAGS
-fPIC
-fno-omit-frame-pointer
-Wall
-Wextra
-Werror
-Wformat
-Wnon-virtual-dtor
-Wdelete-non-virtual-dtor
-Wno-unused-parameter
-Wno-error=literal-suffix
-Wno-error=unused-local-typedefs)

And I refer this link.

@lixx1746
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lixx1746 commented Sep 2, 2016

@qingqing01 Thank you so much. But it still doesn't work.

@reyoung
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reyoung commented Sep 2, 2016 •
edited

@lixx1746 You can actually use docker image to use PaddlePaddle without build it. Links are https://hub.docker.com/r/paddledev/paddle/tags/

@gangliao
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gangliao commented Sep 2, 2016 •
edited

You can use PaddlePaddle's Docker Image to dig deeper too. If you still want to compile code locally,
maybe the following two ways will help you:

  1. Using -Wno-format to bypass this problem.
    or
  2. you can either upgrade or downgrade you python.

@emailweixu
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There is related problem here. https://bugzilla.redhat.com/show_bug.cgi?id=927358. Perhaps you can try update your python2.7.

@lixx1746
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lixx1746 commented Sep 3, 2016

Thank you guys, I fix it with -Wno-format.

@gangliao gangliao closed this as completed Sep 3, 2016
@xiehongweiscut xiehongweiscut mentioned this issue Aug 3, 2017
Closed
@kangzhangqi kangzhangqi mentioned this issue Jun 26, 2019
Closed
@houj04 houj04 mentioned this issue Aug 12, 2019
Closed
zhhsplendid pushed a commit to zhhsplendid/Paddle that referenced this issue Sep 25, 2019
@reyoung
Merge pull request PaddlePaddle#24 from PaddlePaddle/add-visualdl
f989d32 
add visualdl doc
@xiuechen xiuechen mentioned this issue Oct 28, 2019
Closed
@lost-little-lamb lost-little-lamb mentioned this issue Dec 2, 2019
Closed
qingqing01 pushed a commit to qingqing01/Paddle that referenced this issue Apr 30, 2020
@heavengate
Merge pull request PaddlePaddle#24 from huangjun12/bmn-model
d8d5176 
Add bmn model
ForFishes pushed a commit to ForFishes/Paddle that referenced this issue Sep 16, 2020
@qingshui
Paddlebox Fix calculate_bucket_error (PaddlePaddle#24)
632825d
@DemoMoon DemoMoon mentioned this issue Mar 24, 2021
Closed
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>
thisjiang pushed a commit to thisjiang/Paddle that referenced this issue Oct 28, 2021
@Superjomn
Merge pull request PaddlePaddle#24 from Superjomn/fea/add-operation
faf65e6 
add operation
paddle-bot-old bot pushed a commit that referenced this issue Nov 19, 2021
@JiabinYang
Merge pull request #24 from JiabinYang/fix_context_bug
dfcd566
Thunderbrook pushed a commit to Thunderbrook/Paddle that referenced this issue Jun 12, 2022
@miaoli06
Gpugraph (PaddlePaddle#24)
3bde5e4 
* load edge parallel

* load node and edge parallel

* add node and edge parallel

* comment slot fea parse

* clear some log

* add some log

Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com>
jack603047588 referenced this issue in jack603047588/Paddle Nov 9, 2022
@qingshui
Merge pull request #24 from jiaoxuewu/paddlebox
c4270b5 
ins key
jack603047588 referenced this issue in jack603047588/Paddle Nov 9, 2022
@qingshui
Merge pull request #24 from zjhyj/zhaojunhao
495be05 
index_select_gather
@marsbzp marsbzp mentioned this issue Jan 11, 2023
Open
@chlyzzo chlyzzo mentioned this issue Mar 29, 2023
Closed
zyfncg pushed a commit to zyfncg/Paddle that referenced this issue Sep 5, 2023
@yuanlehome
Merge pull request PaddlePaddle#24 from zyfncg/drr_pass
91a5036 
Fix merge confilct of fused_gemm_epilogue_pass
zmxdream pushed a commit to zmxdream/Paddle that referenced this issue Nov 27, 2023
@tiancaitzp
Merge pull request PaddlePaddle#24 from tiancaitzp/paddlebox
ce2aa4f 
update bkcl to version v1.1.6.1.
lizexu123 pushed a commit to lizexu123/Paddle that referenced this issue Feb 23, 2024
@vincentXiyu @wanghaoshuang
Add English-version README (PaddlePaddle#24)
95edffb
hanhaowen-mt pushed a commit to hanhaowen-mt/Paddle that referenced this issue Feb 29, 2024
@caizhi-mt @mt-robot
Merge pull request PaddlePaddle#24 from mthreads/support_dynload
6a656f5 
Support dynload module for MUSA
feifei-111 pushed a commit to feifei-111/Paddle that referenced this issue Mar 6, 2024
@tc20042008
Merge pull request PaddlePaddle#24 from tc20042008/xk-cinn-trivalop-fuse
83ba3d5 
op_topo_pattern_fronten
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@reyoung @gangliao @lixx1746 @qingqing01 @emailweixu