AttributeError: 'module' object has no attribute 'img_rnorm_layer' - while running image_classification demo training #31

deepcodingman · 2016-09-02T23:03:58Z

I am trying to run image_classification demo but I am getting error during running train.sh (see log at the end).
I will appreciate your help in figuring out what is going wrong here.

Mandeep

[17:54 ~/paddle/src/paddle/demo/image_classification] > ./train.sh
I0902 17:54:59.306221 16647 Util.cpp:144] commandline: /home/deepbeast/paddle/bin/bin/../opt/paddle/bin/paddle_trainer --config=vgg_16_cifar.py --dot_period=10 --log_period=100 --test_all_data_in_one_period=1 --use_gpu=1 --trainer_count=1 --num_passes=200 --save_dir=./cifar_vgg_model
I0902 17:55:04.945137 16647 Util.cpp:113] Calling runInitFunctions
I0902 17:55:04.945307 16647 Util.cpp:126] Call runInitFunctions done.
Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/paddle/trainer/config_parser.py", line 3113, in parse_config_and_serialize
config = parse_config(config_file, config_arg_str)
File "/usr/local/lib/python2.7/dist-packages/paddle/trainer/config_parser.py", line 3089, in parse_config
execfile(config_file, make_config_environment(config_file, config_args))
File "vgg_16_cifar.py", line 15, in
from paddle.trainer_config_helpers import *
File "/usr/local/lib/python2.7/dist-packages/paddle/trainer_config_helpers/init.py", line 19, in
from layers import *
AttributeError: 'module' object has no attribute 'img_rnorm_layer'
F0902 17:55:05.116209 16647 PythonUtil.cpp:130] Check failed: (ret) != nullptr Python Error: <type 'exceptions.AttributeError'> : 'module' object has no attribute 'img_rnorm_layer'
Python Callstack:
/usr/local/lib/python2.7/dist-packages/paddle/trainer/config_parser.py : 3113
/usr/local/lib/python2.7/dist-packages/paddle/trainer/config_parser.py : 3089
vgg_16_cifar.py : 15
/usr/local/lib/python2.7/dist-packages/paddle/trainer_config_helpers/init.py : 19
Call Object failed.
*** Check failure stack trace: ***
@ 0x7fd2bd0f65cd google::LogMessage::Fail()
@ 0x7fd2bd0f8433 google::LogMessage::SendToLog()
@ 0x7fd2bd0f615b google::LogMessage::Flush()
@ 0x7fd2bd0f8e1e google::LogMessageFatal::~LogMessageFatal()
@ 0x89fcb2 paddle::callPythonFuncRetPyObj()
@ 0x8a0176 paddle::callPythonFunc()
@ 0x6fb681 paddle::TrainerConfigHelper::TrainerConfigHelper()
@ 0x6fc99d paddle::TrainerConfigHelper::createFromFlags()
@ 0x547dc4 main
@ 0x7fd2bc280830 __libc_start_main
@ 0x5501a9 _start
@ (nil) (unknown)
/home/deepbeast/paddle/bin/bin/paddle: line 46: 16647 Aborted (core dumped) ${DEBUGGER} $MYDIR/../opt/paddle/bin/paddle_trainer ${@:2}
No data to plot. Exiting!

qingqing01 · 2016-09-02T23:23:19Z

You just need to remove img_rnorm_layer in line 39 in python/paddle/trainer_config_helpers/layers.py. We have fixed it and will merge it soon.

deepcodingman · 2016-09-02T23:48:48Z

Thanks. that problem got resolved but now I am getting another error.

[18:40 ~/paddle/src/paddle/demo/image_classification] > ./train.sh
I0902 18:40:26.984419 27728 Util.cpp:144] commandline: /home/deepbeast/paddle/bin/bin/../opt/ paddle/bin/paddle_trainer --config=vgg_16_cifar.py --dot_period=10 --log_period=100 --test_al l_data_in_one_period=1 --use_gpu=1 --trainer_count=1 --num_passes=200 --save_dir=./cifar_vgg_ model
I0902 18:40:29.325484 27728 Util.cpp:113] Calling runInitFunctions
I0902 18:40:29.325641 27728 Util.cpp:126] Call runInitFunctions done.
[INFO 2016-09-02 18:40:29,394 layers.py:1435] channels=3 size=3072
[INFO 2016-09-02 18:40:29,394 layers.py:1435] output size for conv_0 is 32
[INFO 2016-09-02 18:40:29,397 layers.py:1435] channels=64 size=65536
[INFO 2016-09-02 18:40:29,398 layers.py:1435] output size for conv_1 is 32
[INFO 2016-09-02 18:40:29,400 layers.py:1496] output size for pool_0 is 16_16
[INFO 2016-09-02 18:40:29,401 layers.py:1435] channels=64 size=16384
[INFO 2016-09-02 18:40:29,401 layers.py:1435] output size for conv_2 is 16
[INFO 2016-09-02 18:40:29,404 layers.py:1435] channels=128 size=32768
[INFO 2016-09-02 18:40:29,404 layers.py:1435] output size for conv_3 is 16
[INFO 2016-09-02 18:40:29,406 layers.py:1496] output size for pool_1 is 8_8
[INFO 2016-09-02 18:40:29,407 layers.py:1435] channels=128 size=8192
[INFO 2016-09-02 18:40:29,408 layers.py:1435] output size for conv_4 is 8
[INFO 2016-09-02 18:40:29,410 layers.py:1435] channels=256 size=16384
[INFO 2016-09-02 18:40:29,410 layers.py:1435] output size for conv_5 is 8
[INFO 2016-09-02 18:40:29,413 layers.py:1435] channels=256 size=16384
[INFO 2016-09-02 18:40:29,413 layers.py:1435] output size for conv_6 is 8
[INFO 2016-09-02 18:40:29,415 layers.py:1496] output size for pool_2 is 4_4
[INFO 2016-09-02 18:40:29,416 layers.py:1435] channels=256 size=4096
[INFO 2016-09-02 18:40:29,417 layers.py:1435] output size for conv_7 is 4
[INFO 2016-09-02 18:40:29,419 layers.py:1435] channels=512 size=8192
[INFO 2016-09-02 18:40:29,419 layers.py:1435] output size for conv_8 is 4
[INFO 2016-09-02 18:40:29,421 layers.py:1435] channels=512 size=8192
[INFO 2016-09-02 18:40:29,422 layers.py:1435] output size for conv_9 is 4
[INFO 2016-09-02 18:40:29,424 layers.py:1496] output size for pool_3 is 2_2
[INFO 2016-09-02 18:40:29,424 layers.py:1496] output size for pool_4 is 1_1
[INFO 2016-09-02 18:40:29,428 networks.py:1122] The input order is [image, label]
[INFO 2016-09-02 18:40:29,429 networks.py:1125] The output order is [cost_0]
I0902 18:40:29.442795 27728 Trainer.cpp:169] trainer mode: Normal
F0902 18:40:29.443608 27728 hl_gpu_matrix_kernel.cuh:181] Check failed: cudaSuccess == err (0 vs. 8) [hl_gpu_apply_unary_op failed] CUDA error: invalid device function
*_* Check failure stack trace: ***
@ 0x7feafca9f5cd google::LogMessage::Fail()
@ 0x7feafcaa1433 google::LogMessage::SendToLog()
@ 0x7feafca9f15b google::LogMessage::Flush()
@ 0x7feafcaa1e1e google::LogMessageFatal::~LogMessageFatal()
@ 0x7ed69c hl_gpu_apply_unary_op<>()
@ 0x7b3c3b paddle::BaseMatrixT<>::applyUnary<>()
@ 0x7b37c5 paddle::BaseMatrixT<>::applyUnary<>()
@ 0x7952ec paddle::BaseMatrixT<>::zero()
@ 0x65e3a0 paddle::Parameter::enableType()
@ 0x66e001 paddle::parameterInitNN()
@ 0x671ca5 paddle::NeuralNetwork::init()
@ 0x66797b paddle::GradientMachine::create()
@ 0x6f1cfd paddle::TrainerInternal::init()
@ 0x6eb38b paddle::Trainer::init()
@ 0x547e65 main
@ 0x7feafbc29830 __libc_start_main
@ 0x5501a9 _start
@ (nil) (unknown)
/home/deepbeast/paddle/bin/bin/paddle: line 46: 27728 Aborted (core dumped) $ {DEBUGGER} $MYDIR/../opt/paddle/bin/paddle_trainer ${@:2}
No data to plot. Exiting!

emailweixu · 2016-09-02T23:56:27Z

Can you provide your GPU card type and CUDA version? Thanks

deepcodingman · 2016-09-03T00:09:39Z

Please see below:

[19:08 ~] > lspci -nn | grep '[03'
01:00.0 VGA compatible controller [0300]: NVIDIA Corporation GP104 [GeForce GTX 1080] [10de:1b80](rev a1)
02:00.0 VGA compatible controller [0300]: NVIDIA Corporation GP104 [GeForce GTX 1080] [10de:1b80](rev a1)

[19:08 ~] > cat /usr/local/cuda/version.txt
CUDA Version 8.0.27
[19:08 ~] >

gangliao · 2016-09-03T00:59:08Z

Hi, invalid device function indicates that you have a CUDA / GPU incompatibility.
Since you use GTX 1080, you can modify CMake to fix it.

open cmake/flags.cmake and add following code:

if (CUDA_VERSION VERSION_GREATER "8.0")

list(APPEND __arch_flags " -gencode arch=compute_60,code=sm_60")

endif()

then, rebuild the project

deepcodingman · 2016-09-03T16:33:50Z

Now I am getting following error during running 'make -j all'

[ 16%] Built target paddle_utils
[ 16%] Building NVCC (Device) object paddle/gserver/CMakeFiles/paddle_gserver.dir/layers/paddle_gserver_generated_LstmCompute.cu.o
[ 19%] Built target paddle_pserver
[ 19%] Built target paddle_network
[ 19%] Building NVCC (Device) object paddle/gserver/CMakeFiles/paddle_gserver.dir/layers/paddle_gserver_generated_GruCompute.cu.o
[ 23%] Built target paddle_api
[ 26%] Built target paddle_trainer_lib
[ 31%] Built target paddle_parameter
/usr/local/cuda/include/surface_functions.h(134): error: expected a ";"

/usr/local/cuda/include/surface_functions.h(135): error: expected a ";"

/usr/local/cuda/include/surface_functions.h(136): error: expected a ";"

gangliao · 2016-09-04T00:06:57Z

Basically, we do not test PaddlePaddle on cuda 8.0. There maybe exist some incompatibility.
You can use make clean; cmake ..; make VERBOSE=1 to figure out where the problem comes from.

deepcodingman · 2016-09-06T15:53:51Z

Thanks. I will give it a try again later once there is support for CUDA 8.0

hedaoyuan · 2016-09-19T03:23:25Z

CUDA 8.0 has support.

0.15 multi-card support

Add models index

extract input variable from feed

This PR deleted extra test logs of CI

* Documentation of the common interfaces of c2r and c2c

* 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>

* 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>

Co-authored-by: shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>

fea/link isl ast to ir

* 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 Co-authored-by: chentianyu03 <ctychentianyu@gmail.com> Co-authored-by: zyfncg <1370305206@qq.com> Co-authored-by: YuanRisheng <yuanrisheng@baidu.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> * add matmul kernel in pten * add unittest for new matmul_v2 kernel * fix bug of CI compile * fix bug of CI compile * merge conflict * remove useless file 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>

* 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> * support multiply inputs and outputs * rm attrs {} * fix multioutputs bug * merge develop * remove unsed header file * add missing & in const reference * modify inputAt, outputAt to inputBetween, outputBetween Co-authored-by: Chen Weihang <chenweihang@baidu.com> Co-authored-by: zyfncg <1370305206@qq.com> Co-authored-by: YuanRisheng <yuanrisheng@baidu.com> Co-authored-by: 石晓伟 <39303645+Shixiaowei02@users.noreply.github.com>

…34425) * 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 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#16) * perfect unittest * update license * replace with flat_hash_map, small_vector (PaddlePaddle#19) * fix small_vector build error on windows platform * replace with flat_hash_map, small_vector * remove todo * Perfect unitests (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#26) * remove symbols and spatial_tensor * change common to functions * readd share tensor impl methods * add a candidate dense tensor class, test=develop (PaddlePaddle#28) * change all Pt to Pten * resolve conflit with xiaowei * Op2functor opt1 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#31) Co-authored-by: shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com> * polish some details Co-authored-by: chentianyu03 <ctychentianyu@gmail.com> Co-authored-by: zyfncg <1370305206@qq.com> Co-authored-by: YuanRisheng <yuanrisheng@baidu.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 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#16) * perfect unittest * update license * replace with flat_hash_map, small_vector (PaddlePaddle#19) * fix small_vector build error on windows platform * replace with flat_hash_map, small_vector * remove todo * Perfect unitests (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#26) * remove symbols and spatial_tensor * change common to functions * readd share tensor impl methods * add a candidate dense tensor class, test=develop (PaddlePaddle#28) * change all Pt to Pten * resolve conflit with xiaowei * Op2functor opt1 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#31) Co-authored-by: shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com> * add matmul kernel in pten * add unittest for new matmul_v2 kernel * fix bug of CI compile * fix bug of CI compile * merge conflict * remove useless file 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>

* 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 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#16) * perfect unittest * update license * replace with flat_hash_map, small_vector (PaddlePaddle#19) * fix small_vector build error on windows platform * replace with flat_hash_map, small_vector * remove todo * Perfect unitests (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#26) * remove symbols and spatial_tensor * change common to functions * readd share tensor impl methods * add a candidate dense tensor class, test=develop (PaddlePaddle#28) * change all Pt to Pten * resolve conflit with xiaowei * Op2functor opt1 (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#31) Co-authored-by: shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com> * support multiply inputs and outputs * rm attrs {} * fix multioutputs bug * merge develop * remove unsed header file * add missing & in const reference * modify inputAt, outputAt to inputBetween, outputBetween Co-authored-by: Chen Weihang <chenweihang@baidu.com> Co-authored-by: zyfncg <1370305206@qq.com> Co-authored-by: YuanRisheng <yuanrisheng@baidu.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>

* add ConvertDataType for popart_canonicalization * update ConstantOfShape * add guarg for RegisterHandler * fix conv2d pads attr * fix ReduceMean when reduce_all=True

* Adding XLNet modeling and tokenizer * add fine-tuning code and readme file * Add XLNet fine-tuning code and README file * Fix some bugs and format changes * Fix some codes' style and comments' format * Move pad_token_type_id out of init function * update segment_ids to token_type_ids, input_mask to attention_mask * edit transformers docs with xlnet model * Fix some code style and comment formats * add grad_clip in the optimizer * fix bug: remove eager_run arg, remove labels parameter of the model class, add classifier_dropout config * update the usage of glue dataset * update the usage of glue dataset * update the usage of glue dataset * update clear_grad api, weight_decay param

Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com>

Reproduce transforms module

index_select

fix zero tensor bug

* add set init_token for nas

improve CMakeList.txt for MUSA

MergePattern

gangliao added Bug compile error labels Sep 3, 2016

hedaoyuan closed this as completed Sep 19, 2016

sabreshao added a commit to sabreshao/Paddle that referenced this issue Oct 10, 2018

Merge pull request PaddlePaddle#31 from jichangjichang/0.15.0_1b7e38

f6df82e

0.15 multi-card support

zhhsplendid pushed a commit to zhhsplendid/Paddle that referenced this issue Sep 25, 2019

Merge pull request PaddlePaddle#31 from reyoung/feature/add_models

c46c7ba

Add models index

zhhsplendid pushed a commit to zhhsplendid/Paddle that referenced this issue Sep 25, 2019

Merge pull request PaddlePaddle#31 from reyoung/feature/add_models

594d72e

Add models index

xiuechen mentioned this issue Oct 28, 2019

预测出core，能帮忙看下啥原因不？paddle训练和预测的版本都是v1.3.0 #20859

Closed

qingqing01 pushed a commit to qingqing01/Paddle that referenced this issue Apr 30, 2020

Merge pull request PaddlePaddle#31 from heavengate/fix_compile_prune

3c5f074

extract input variable from feed

ForFishes pushed a commit to ForFishes/Paddle that referenced this issue Sep 16, 2020

support multi-node (PaddlePaddle#31)

3d16147

DemoMoon mentioned this issue Mar 24, 2021

oneDNN 如何能提升DeepSpeech的语音处理性能 #31838

Closed

yaoxuefeng6 pushed a commit to yaoxuefeng6/Paddle that referenced this issue May 25, 2021

support multi-node (PaddlePaddle#31)

33918c9

thisjiang pushed a commit to thisjiang/Paddle that referenced this issue Aug 18, 2021

Modify CI Log Format (PaddlePaddle#31)

f342949

This PR deleted extra test logs of CI

KPatr1ck pushed a commit to KPatr1ck/Paddle that referenced this issue Sep 10, 2021

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

c825b1e

* Documentation of the common interfaces of c2r and c2c

paddle-bot-old bot pushed a commit that referenced this issue Oct 27, 2021

fix a bug about offsets of the tensor, test=develop (#31)

be9df70

Co-authored-by: shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>

thisjiang pushed a commit to thisjiang/Paddle that referenced this issue Oct 28, 2021

Merge pull request PaddlePaddle#31 from Superjomn/fea/link-isl-ast-to-ir

7cf7c03

fea/link isl ast to ir

danleifeng pushed a commit to danleifeng/Paddle that referenced this issue Jun 15, 2022

move feature_buf into if-branch (PaddlePaddle#31)

0c33297

Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com>

niuliling123 pushed a commit to niuliling123/Paddle that referenced this issue Sep 19, 2022

Merge pull request PaddlePaddle#31 from LielinJiang/transforms

9ce257c

Reproduce transforms module

jack603047588 referenced this issue in jack603047588/Paddle Nov 9, 2022

Merge pull request #31 from jiaoxuewu/paddlebox

f39b582

index_select

jack603047588 referenced this issue in jack603047588/Paddle Nov 9, 2022

Merge pull request #31 from qingshui/paddlebox

77c533b

fix zero tensor bug

marsbzp mentioned this issue Jan 11, 2023

多线程调用C++推理库进行RNN算子崩溃问题！！！！ #49737

Open

chlyzzo mentioned this issue Mar 29, 2023

paddle/fluid/core_avx.so paddle::memory::allocation::MemoryMapFdSet::Clear() #52269

Closed

lizexu123 pushed a commit to lizexu123/Paddle that referenced this issue Feb 23, 2024

support set init tokens by user for sanas (PaddlePaddle#31)

87d75b9

* add set init_token for nas

hanhaowen-mt pushed a commit to hanhaowen-mt/Paddle that referenced this issue Feb 29, 2024

Merge pull request PaddlePaddle#31 from mthreads/cmake

1f75c99

improve CMakeList.txt for MUSA

tc20042008 pushed a commit to tc20042008/Paddle that referenced this issue Mar 7, 2024

Merge pull request PaddlePaddle#31 from feifei-111/cinn-trivalop-fuse

ab42ae4

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AttributeError: 'module' object has no attribute 'img_rnorm_layer' - while running image_classification demo training #31

AttributeError: 'module' object has no attribute 'img_rnorm_layer' - while running image_classification demo training #31

deepcodingman commented Sep 2, 2016

qingqing01 commented Sep 2, 2016

deepcodingman commented Sep 2, 2016

emailweixu commented Sep 2, 2016

deepcodingman commented Sep 3, 2016

gangliao commented Sep 3, 2016

deepcodingman commented Sep 3, 2016

gangliao commented Sep 4, 2016

deepcodingman commented Sep 6, 2016

hedaoyuan commented Sep 19, 2016

AttributeError: 'module' object has no attribute 'img_rnorm_layer' - while running image_classification demo training #31

AttributeError: 'module' object has no attribute 'img_rnorm_layer' - while running image_classification demo training #31

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