hierarchical rnn document, add new config example #106
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reyoung
requested changes
Sep 23, 2016
| def hook2(settings, dict_file, **kwargs): | ||
| settings.word_dict = dict_file | ||
| settings.input_types = [integer_value_sub_sequence(len(settings.word_dict)), | ||
| integer_value_sub_sequence(3)] |
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这个，label不一定非要是sequence了呀？
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这里改成integer_value_sequence，表示一个子句一个label
| label = int(''.join(label.split())) | ||
| words = comment.split() | ||
| word_slot = [settings.word_dict[w] for w in words if w in settings.word_dict] | ||
| yield word_slot, [label] |
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这个，label不一定非要是sequence了呀？
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已经改成integer_value类型了
emailweixu
requested changes
Sep 24, 2016
| ``` | ||
| - 双层seq，memory是单层seq： | ||
| - 由于外层每个时间步返回的是一个子句，这些子句的长度往往不等长。因此当外层有is_seq=True的memory时，内层是无法直接使用它的，即内层memory的boot_layer不能链接外层的这个memory。 | ||
| - 如果内层memory想使用单层seq的外层memory，只能通过`pooling_layer`、`last_seq`或`first_seq`将它先变成一个向量。但这种情况下，外层memory必须有boot_layer，否则在第0个时间步时，外层memory全部为0且没有任何seq信息，会出段错误。 |
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"会出段错误"这个需要fix，应该检查所有不支持的场景并报出相应错误，以便于用户排查
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在Average_layer, SequenceLastInstanceLayer中都加了check，用于检查input中的seq信息。
lcy-seso
reviewed
Sep 26, 2016
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| #### 读取双层seq的方法 | ||
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| 首先，我们看一下单测中使用的单双层seq的不同数据组织形式（您也可以采用别的的组织形式）： |
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“您也可以采用别的的组织形式”，这一句多了一个“的”。
lcy-seso
reviewed
Sep 26, 2016
| @@ -0,0 +1,380 @@ | |||
| # 双层RNN教程 | |||
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整体感觉是这个文档对普通用户的友好度不够。
（1）建议在文档的最开始增加一个导引，从直觉就可以理解的角度介绍，（1）为什么需要双层RNN；（2）什么场景可以使用双层RNN；
（2）“单进单出：输入和输出都是单层seq” 和 “双进双出：输入和输出都是双层seq” 这种描述其实都已经含有一定的技术细节了，每个示例下面都可以描述一个场景和例子，帮助用户理解。
luotao1
commented
Sep 26, 2016
| CHECK(outFrameLine.frames[i]->getOutput().sequenceStartPositions) | ||
| << "In hierachical RNN, all out links should be from sequences."; | ||
| } | ||
| } |
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用于检查sequence_nest_rnn.conf中输出是last，但不报错的情况。现在会报错了。
reyoung
approved these changes
Sep 26, 2016
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lcy-seso
approved these changes
Sep 29, 2016
emailweixu
requested changes
Sep 29, 2016
| def outer_step(x): | ||
| # if memory in hierachical rnn is sequence (is_seq=True), it must be read-only | ||
| # memory, since the sequence length of each timestep maybe different. | ||
| readonly_mem = memory(name="outer_rnn_readonly", size=hidden_dim, is_seq=True) |
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最好是一个sequence memory真正有用的例子，否则用户很难理解这有什么用。另外这样的不变的memory应该通过StaticInput来实现。
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删去了这个单测示例，之后会提供一个sequence memory真正有用的demo
| ## 相关概念 | ||
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| ### 基本原理 | ||
| `recurrent_group` 是PaddlePaddle支持的一种任意复杂的RNN单元。使用者只需要关注于设计RNN在一个时间步之内完成的计算，PaddlePaddle负责完成信息和误差在时间序列上的传播。 |
| 在序列生成任务中，decoder RNN总是引用上一时刻预测出的词的词向量，作为当前时刻输入。`GeneratedInput`自动完成这一过程。 | ||
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| ### 输出 | ||
| `step`函数必须返回某个Layer的输出，这个Layer的输出会作为整个`recurrent_group` 最终的输出结果。在输出的过程中，`recurrent_group` 会将每个时间步的输出拼接，这个过程对用户也是透明的。 |
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step函数必须返回一个或多个Layer的输出
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| ## expand_layer | ||
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| expand_layer的使用示例如下，详细见配置API。 |
emailweixu
approved these changes
Oct 14, 2016
sanylcs
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Dec 21, 2016
* refine sparse momentum api and unittest (PaddlePaddle#126) * refine sparse momentum api and unittest * fix unittests bug * Remove main function in some unittest. * Update Mac OS X port * follow comments to fix bugs * Revise some word in build doc * Add automatic check AVX in CMake (PaddlePaddle#145) * Add automatic check AVX in CMake * Revise table format and some words in build docs * Fix cmake/FindAVX.cmake * Update build docs (PaddlePaddle#148) * Add automatic check AVX in CMake * Add indent in FindAVX.cmake * Revise table format and some words in build docs * Update build docs * Fix bug when only support AVX 2 (PaddlePaddle#150) In some situation, for instance, in the virtual machine, it could happen. * add scripts to build ubuntu install package. (PaddlePaddle#132) * also refine install docs, too * some bug fix for sparse matrix (PaddlePaddle#133) * some bug fix for sparse matrix * a minor bug fix * Update build docs (PaddlePaddle#149) * Add automatic check AVX in CMake * Add indent in FindAVX.cmake * Revise table format and some words in build docs * Update build docs * Update build docs * [DOC CHANGE] Rerange Build docs & emphasize them in README.md (PaddlePaddle#151) * Rerange Build docs & emphasize them in README.md * Rerange Build docs & emphasize them in README.md * Update Readme (PaddlePaddle#153) * Update Readme * Update readme * Update readme * Fix CUDA_VERSION Comparsion (PaddlePaddle#165) * Update readme (PaddlePaddle#155) * Update readme * Apache 2.0 * add interface and test of RecurrentGradientMachine (PaddlePaddle#156) * add interface and unittest of RecurrentGradientMachine for the function of multiple Subsequence inlinks with unequal token length * bug fix for dataprovider for quick start inference (PaddlePaddle#168) * Support MAC OS Sierra (PaddlePaddle#169) * typo in image classification demo (PaddlePaddle#167) * support rectangle padding, stride, window and input for PoolProjection (PaddlePaddle#115) * support rectangle padding, stride, window and input for PoolProjection * Follow comments. 1. Remove start 2. refine img_pool_a/b.conf for test_NetworkCompare 3. Split unit test * Modify the test in img_layers.py * Use C++ 11 atomic_flag in MacOS as spin lock (PaddlePaddle#175) * Use C++ 11 atomic_flag in MacOS as spin lock * Add unittest for it. * Read git sha1 when building Paddle, and add it to PADDLE_VERSION macro * save the model file including git sha1 * add weight for cost layer interface (PaddlePaddle#177) * Should not compile the two files if -DWITH_AVX=OFF. (PaddlePaddle#163) * If cmake -DWITH_AVX=OFF during configuration, should not compile the file src/hl_math.cc and src/hl_avx_functions.cc. * Add travis for osx (PaddlePaddle#189) * set MKL search path with intel64 (PaddlePaddle#188) * Mnist demo (PaddlePaddle#162) * added mnist demo * modified .gitignore for .project files * normalize pixel in mnist_provider.py and set use_gpu=0 * add interface and unittest for nce layer (PaddlePaddle#180) * add interface and unittest for nce layer * follow comments * Merge internal changes (PaddlePaddle#198) * fix DataProvider create function args bug Change-Id: I9e3a1c535c805bf30204a14aea8d5143ff534784 * remove PserverForPython.h which is not used Change-Id: I2b27f1f3c11a42766a92fc689f0f5f1f73ee1d70 * add internal document script Change-Id: Ia0fec79456caea0b271f9903cc13e8a3d32e0774 * hierarchical rnn document, add new config example (PaddlePaddle#106) * hierarchical rnn document, add new config example * update inputs_type of label * add check for unsupported config * refine hierarchical document * refine doc title * update docs, fix paddle to PaddlePaddle * follow comments * remove some copyfrom in AgentLayer and ExpandLayer, fix warning in seq2seq config (PaddlePaddle#183) * remove redundant HPPL_TYPE_DOUBLE (PaddlePaddle#200) * add cost_type constraint to weighted_cost interface (PaddlePaddle#206) * remove unmerged internal documents (PaddlePaddle#205) * Add FAQ (PaddlePaddle#128) * Init commit for doing FAQ * Add speed up training * Add graphviz to ci * Add shared paramter * Tiny refine * Fix bug in yield dictionary in DataProvider. (PaddlePaddle#197) * Fix bug in yield dictionary in DataProvider. * Also make virtualenv work in Paddle. * Update docker_instll.rst docker image name (PaddlePaddle#210) * Fix sparse training for trainer_count=1 (PaddlePaddle#204) * Fix sparse training for trainer_count=1 For trainer_count=1, the gradient machine is NeuralNetwork, which does not create parameter buf for PARAMETER_GRADIENT for sparse update in Parameter::enableType. But gradient parameter buf is still used in SgdThreadUpdater. * Minor update to comment * Supplement doc for RNN (PaddlePaddle#214) * Speed up PyDP2, support numpy.float array (PaddlePaddle#207) * fix bug in some different python environment (PaddlePaddle#220) * Fix install_docker.rst and data_sources file open mode * Follow PaddlePaddle#223 * Fix PaddlePaddle#222 * add base class for seqlastin/max/average layer (PaddlePaddle#187) * Added Bidi-LSTM and DB-LSTM to quick_start demo (PaddlePaddle#226) * add missing layer_attr (PaddlePaddle#234) * fix build bug in gcc46 (PaddlePaddle#236) * error in doc of quick_start (PaddlePaddle#228) * fix error in doc of quick_start * There are some warning when execute preprocess.sh * add maxout layer, including interface and unittest (PaddlePaddle#229) * add maxout layer, including interface and unittest * follow maxout comments * auto setting channels * fix unittest bug in test_RecurrentGradientMachine * remove deprecated start input in img_pool_layer (PaddlePaddle#237) * Fix dataprovider converter for sparse data * FIx check type unmatch in MaxOutLayer (PaddlePaddle#242) Compiled failed on gcc 4.6 * Sequence tagging demo (PaddlePaddle#225) * Update contribute_to_paddle.md (PaddlePaddle#248) * add input sparse data check for sparse layer at runtime (PaddlePaddle#247) * add input sparse data check for sparse layer at runtime, to avoid invalid data access at pserver end while doing prefetch * remote sparse design support binary sparse and float saprse both * Python trainer api (PaddlePaddle#193) * Python trainer API and demo * Adding missing PaddleAPIPrivate.h * Adding api_train.sh * More comments * Bump up patch version to 0b3 * Change contribute to paddle to fit new branching model (PaddlePaddle#275) * Change contribute to paddle to fit new branching model * set test_period default value to 0 (PaddlePaddle#279) * Make Paddle --save_dir support a directory name (PaddlePaddle#277) * Also fix PaddlePaddle#243 * fix interface bug of block_expand_layer and add unittest (PaddlePaddle#265) * fix interface bug of block_expand_layer and add unittest * auto compute num_channels * default value of num_channels is None * adjust input order of block_expand * Support empty Param Block in ParameterSever (PaddlePaddle#244) * Because in cluster maybe use a lot machine to train a model, and some parameter size could be too small for ParameterServer. Then some of pservers could not have any ParamBlock. * Also, because ports_num or ports_num_for_sparse is too large, then give a warning in runtime. * Add bilinear interpolation layer * fix type unmatch on gcc * Adding an introduction doc for Paddle to implement simplest linear regression. * Add default cuda system path (PaddlePaddle#192) * DYLD_LIBRARY_PATH is disable after Mac OS X 10.11 * fix clang + gpu compile error on Mac OS * fix some words and errors in build docs * Add glog header path to include (PaddlePaddle#295) * add SpatialPyramidPoolLayer c++ support * Add job=time in trainer, refine cudnn_conv to reduce gpu memory and speed up training. (PaddlePaddle#218) * Add benchmark for PaddlePaddle, tensorflow and caffe * ConvProjection to reduce memory for goolenet * Add unit test for ConvProjection. 1. unit test in test_LayerGrad. 2. compare the ConvPorjection and CudnnConvLayer, also compare the concat_layer+img_conv_layer and concat_layer_conv_projection. * Reduce cudnn_conv memory and add benchmark document. 1. Use TmpMatrix as the workspace in cudnn_conv to reduce gpu memory. It reduce lots of memory. 2. Add benchmark document. 3. fix smallnet_mnist_cifar.py in paddle. * Add job=time and refine cudnn_conv to reduce gpu memroy and speed up * Refine cudnn_conv and shared biases operation in concat_layer and mixed_layer. * follow comments * follow comments * Use unique_ptr to prevent memory leaks in CudnnConvLayer. * Add some concepts documents to guide user for using paddle (PaddlePaddle#249) * reuse code of PoolProjection in PoolProjectionLayer * Add How to build docs (PaddlePaddle#312) * Bug fix in CudnnConvLayer, which will lead to destruction error. (PaddlePaddle#317) * Fix a bug in testOnePeriod. (PaddlePaddle#322) * Forget to finishTestPeriod in testOnePeriod. * Fix PaddlePaddle#318 * add user_arg to LayerConfig (PaddlePaddle#315) * install the right python package version (PaddlePaddle#326) For multiple installation of paddle, there might be multiple versions of python package at opt/paddle/share/wheels/. We should install the right version. Ideally, we should remove the wrong versions when install. But it's not easy to do this with cmake. Change-Id: Ida8a8d60643ad9e42cf1c85776de9122d5ba1392 * Add matrix inverse (PaddlePaddle#240) * Add matrix inverse * report error when use parallel_nn to train recurrent_nn model (PaddlePaddle#335) * install the right python package version (PaddlePaddle#340) For multiple installation of paddle, there might be multiple versions of python package at opt/paddle/share/wheels/. We should install the right version. Ideally, we should remove the wrong versions when install. But it's not easy to do this with cmake. Change-Id: Ida8a8d60643ad9e42cf1c85776de9122d5ba1392 * Fix minor errors in instructions of building Paddle on Mac OS X (PaddlePaddle#347) * Fix bug and redundant code in hl_dso_loader.cc (PaddlePaddle#306) * Fix glog check type unmatch in Util.cpp (PaddlePaddle#353) * Fix glog check type unmatch in Util.cpp PaddlePaddle#352 * Add code coverage and coveralls (PaddlePaddle#296) * Add Issue template to guide user submit good issue (PaddlePaddle#354) * Add issue template * Update ISSUE_TEMPLATE.md * Update ISSUE_TEMPLATE.md * Rename * Rename * Typo * Typo * Typo * Typo * Follow comments * Follow comments * Add elementwise math operations (PaddlePaddle#343) * Add elementwise math operations This allows use to use expressions like: y=log(1+exp(x)) Also added unittests for ActivationFunction * Enforce keyword arguments for non-positional arguments * Add LogActivation to doc * include mkl_lapacke.h (PaddlePaddle#359) * Update ISSUE_TEMPLATE.md (PaddlePaddle#357) * add rdma cmake support (PaddlePaddle#284) * add rdma cmake support * move rdma related code to rdma.cmake * using find_package for swig (PaddlePaddle#334) * Use diff to compare config unittest (PaddlePaddle#363) Fix PaddlePaddle#342 * Fix SRL hang when exit. (PaddlePaddle#291) * Fix SRL hang when exit. * Error occurred when enable Async Load in TestDataProvider. * It because DataProvider is calling getNextBatchInternal in one thread, and destructing DataProvider in other thread. * Add wait routine in DataProvider destructing. * Also fix another bug, when destructing TestDataProvider and do not read any test data. Fix PaddlePaddle#286 * Follow comments, Use mutex is cool! * Follow comments * Add img_size for unit test * Fix bilinear interp bug * revert flags.cmake * Replace outputH to batchSize * Follow comments * Revise one word in ISSUE_TEMPLATE.md (PaddlePaddle#371) * abstract outputSize function in CNN-related layers (PaddlePaddle#314) * Add define for double getrf, getri (PaddlePaddle#381) * Add SumCost This allows user to implement any type of cost by summing over the output of non-cost layers. Change-Id: Ic55aaabbf0c1299e70b8e48a0effcc91f8f5bd29 * Add sum_cost to document And rebase Change-Id: I7ea234b3aa8fc70675af15d91db08242c43fb5ff * Remove Mac OS X build docs (PaddlePaddle#386) Currently, Paddle on Mac OS X is not deliberate testing through the different versions of Mac OS X and Clang. When all these things that we've done, we will reopen Mac build docs. * add python wrap for sppLayer * Cancelling Travis build with docs updates only. (PaddlePaddle#372) * fix deadlink in Chinese quick start doc. (PaddlePaddle#389) * add python-related unittest problem in faq document (PaddlePaddle#377) * Fix macOS quick start preprocess script. (PaddlePaddle#390) * Use `gshuf` instead of `shuf` in macOS * Fix PaddlePaddle#388 * fix floating-point overflow problem of tanh (PaddlePaddle#355) * py_paddle link zlib(PaddlePaddle#393) * enable swig unittest in travis-ci (PaddlePaddle#394) * Init * Add numpy deps * Refine * fix some nvcc compile options (PaddlePaddle#392) * Follow comments * modify the format of diff information in protostr (PaddlePaddle#398) * Fix minior bug * add patch does not trigger travis ci * follow comments * Fix Travis Ci does not build when push patches (PaddlePaddle#399) * add getSize method for PoolProjection * Make matrix well-conditioned when unittest inverse * Implement setDiag() with BaseMatrix::assign() * Follow comments * follow comments * Update FindAVX.cmake (PaddlePaddle#404) * make AVX_FOUND is default value to WITH AVX * let AVX_FLAG always keep -mavx flag since compiler can build binary with -mavx even CPU does not support avx. * some tiny fixs (PaddlePaddle#406) * some tiny fixs * use VLOG(3) * [Work in Progress] Update cluster_train.md (PaddlePaddle#391) Update cluster_train.md for easier understanding * Fix memory leak in image classification demo, which is caused by dataprovider (PaddlePaddle#323) * the memory leak is inside one pass. * Update * Delelte old protostr * Follow comments * add some code comments for SppLayer * Update * Fix a bug * initial take on deconv layers * added convTrans test and python components * added more test on convTrans layer and comments * Refactor ExpandConvTransLayer to share codes with ExpandConvLayer * refactored ExpandConvLayer and ExpandConvTransLayer with ConvBaseLayerCpu * fixed a bug in refactoring ExpandConv/TransLayer * add another small test in test_LayerGrad for convTransLayer * Revised deconv implementations according to luotao1 * rebase deconv implementation with develop branch and resolve conflicts with pull#218 commit 45c81a4 * deconv layer implementation modification following luotao1 comments * fix a small bug in ConvTransLayerBase in config_parser.py * deconv implementation mionr changes in ConvBaseLayer.cpp and config_parser.py * minor changes on deconv per luotao1 comments * Refactored imageSize in ConvBaseLayer to MathUtil * minor change to convTransLayer test in test_LayerGrad * minor changes on deconv implementation and add protostr test for deconv layer * fixed a bug in parse_conv in config_parser.py * Generate bilinear protostr via Linux * set mixedlayer output size according to input operator (PaddlePaddle#414) * set mixedlayer output size according to input operator * change from num_channel to num_channels for conv_operator (the old one is really misleading because all the others are num_channels) * also changed the arg name in projections.py * change the act.name for LinearActivation() to "linear" so that it won't fail in hl_activetype; also fix the hasinputsset in submodel * Revise code * use yapf to format python code, add style config file * Add checkout name for Dockerfile * Because in dockerhub, we cannot set the `docker build `running directory, we could only use `git clone` command to get the latest code if we put `Dockerfile` in subdirectory * But the `git clone` will checkout the default branch only, so here we add a `ENV` in Dockerfile to checkout special branch or tag in git repo. We could change it to `V0.9.0` tag when it release. * '*' operator overload for LayerOutput Making '*' support the multiplication between a scalar and LayerOutput Also changing '+' to support adding between a vector and a scalar. Change-Id: I7daf35590dc2b2f855a29d9ef43ac57979442e0f * change hlactivetype instead of act.name * fix bug in sum_cost * fix test_layerHelpers unittest error * change python code style to pep8 * Fix bug in multple objects in define_py_sources * Add unittest for split datasource * Fix PaddlePaddle#436 * multi_binary_cross_entropy when ids vector is provided * copy the data when createSparseMatrix * format python code in demo, doc, doc_cn and paddle directories * format python code in python directory * modifications according to comments * Add pre-commit config file. * Add yapf hook to format python code. * Add Remove CRLF * Update pre-commit-config * Check all files by pre commit hooks * Bug fix in testing mode. * Refine clang-format for Paddle style * fix url of sub-pages * added resnet lstm architecture from GNMT * modify document directory structure in model config helpers * Revert "fix url of sub-pages" * Add ScalingProjection out = w * input where w is a parameter of size 1 Change-Id: Ife682d62323ceb1a20cbbf6269421b20a862d888 * Fix unittest Change-Id: Ic80845c892c96c37a0df0ddc433fe1aeaa5a9d1c * Fix forwardTest for ids in python swig. * unittest need to be added. But fix the bugs first. * Bumping up version number to v0.9.0a0 * Fix some problems in Debian build scripts. * Mount local Paddle instead of git clone from remote. * Use official chinese ubuntu source instead of 163 mirror. * Update dockerfile tags * Add version check for paddle * Refine ver2num function, add comments * Fix Debian package name in ubuntu install docs. * Fix PaddlePaddle#486 * Change demo datafile location by using CDN in baidu. * merge bugfix PaddlePaddle#593 and # 597 from develop branch * Bumping up version number * Add Release notes * Refine documentation in RELEASE.md * fix dead link for quick start * update * Fix Travis-CI build for release * Remove typo in documentation. * fix typo
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* Make the travis fails if a script fails * Update jobs with names
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…ded directory when the vocab file path included in tokenizer_config_file.json does not exist. (PaddlePaddle#106)
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Co-authored-by: yangjunchao <yangjunchao@baidu.com>
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Nov 14, 2022
* Optimizing the zero key problem in the push phase * Optimize CUDA thread parallelism in MergeGrad phase * Optimize CUDA thread parallelism in MergeGrad phase * Performance optimization, segment gradient merging * Performance optimization, segment gradient merging * Optimize pullsparse and increase keys aggregation * sync gpugraph to gpugraph_v2 (#86) * change load node and edge from local to cpu (#83) * change load node and edge * remove useless code Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com> * extract pull sparse as single stage(#85) Co-authored-by: yangjunchao <yangjunchao@baidu.com> Co-authored-by: miaoli06 <106585574+miaoli06@users.noreply.github.com> Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com> Co-authored-by: chao9527 <33347532+chao9527@users.noreply.github.com> Co-authored-by: yangjunchao <yangjunchao@baidu.com> * [GPUGraph] graph sample v2 (#87) * change load node and edge from local to cpu (#83) * change load node and edge * remove useless code Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com> * extract pull sparse as single stage(#85) Co-authored-by: yangjunchao <yangjunchao@baidu.com> * support ssdsparsetable;test=develop (#81) * graph sample v2 * remove log Co-authored-by: miaoli06 <106585574+miaoli06@users.noreply.github.com> Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com> Co-authored-by: chao9527 <33347532+chao9527@users.noreply.github.com> Co-authored-by: yangjunchao <yangjunchao@baidu.com> Co-authored-by: danleifeng <52735331+danleifeng@users.noreply.github.com> * Release cpu graph * uniq nodeid (#89) * compatible whole HBM mode (#91) Co-authored-by: yangjunchao <yangjunchao@baidu.com> * Gpugraph v2 (#93) * compatible whole HBM mode * unify flag for graph emd storage mode and graph struct storage mode * format Co-authored-by: yangjunchao <yangjunchao@baidu.com> * split generate batch into multi stage (#92) * split generate batch into multi stage * fix conflict Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com> * [GpuGraph] Uniq feature (#95) * uniq feature * uniq feature * uniq feature * [GpuGraph] global startid (#98) * uniq feature * uniq feature * uniq feature * global startid * load node edge seperately and release graph (#99) * load node edge seperately and release graph * load node edge seperately and release graph Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com> * v2 infer (#102) * optimize begin pass and end pass (#106) Co-authored-by: yangjunchao <yangjunchao@baidu.com> * fix ins no (#104) * [GPUGraph] fix FillOneStep args (#107) * fix ins no * fix FillOnestep args * fix bug for whole hbm mode (#110) Co-authored-by: yangjunchao <yangjunchao@baidu.com> * [GPUGraph] fix infer && add infer_table_cap (#108) * fix ins no * fix FillOnestep args * fix infer && add infer table cap * fix infer * 【PSCORE】perform ssd sparse table (#111) * perform ssd sparsetable;test=develop Conflicts: paddle/fluid/framework/fleet/ps_gpu_wrapper.cc * perform ssd sparsetable;test=develop * remove debug code; * remove debug code; * add jemalloc cmake;test=develop * fix wrapper;test=develop * fix sample core (#114) * [GpuGraph] optimize shuffle batch (#115) * fix sample core * optimize shuffle batch * release gpu mem when sample end (#116) Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com> * fix class not found err (PaddlePaddle#118) Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com> * optimize sample (PaddlePaddle#117) * optimize sample * optimize sample Co-authored-by: yangjunchao <yangjunchao@baidu.com> * fix clear gpu mem (PaddlePaddle#119) Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com> * fix sample core (PaddlePaddle#121) Co-authored-by: yangjunchao <yangjunchao@baidu.com> * add ssd cache (PaddlePaddle#123) * add ssd cache;test=develop * add ssd cache;test=develop * add ssd cache;test=develop * add multi epoch train & fix train table change ins & save infer embeding (PaddlePaddle#129) * add multi epoch train & fix train table change ins & save infer embedding * change epoch finish judge * change epoch finish change Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com> * Add debug log (PaddlePaddle#131) * Add debug log * Add debug log Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0008.yq01.baidu.com> * optimize mem in uniq slot feature (PaddlePaddle#130) * [GpuGraph] cherry pick var slot feature && fix load multi path node (PaddlePaddle#136) * optimize mem in uniq slot feature * cherry-pick var slot_feature Co-authored-by: huwei02 <53012141+huwei02@users.noreply.github.com> * [GpuGraph] fix kernel overflow (PaddlePaddle#138) * optimize mem in uniq slot feature * cherry-pick var slot_feature * fix kernel overflow && add max feature num flag Co-authored-by: huwei02 <53012141+huwei02@users.noreply.github.com> * fix ssd cache;test=develop (PaddlePaddle#139) * slot feature secondary storage (PaddlePaddle#140) * slot feature secondary storage * slot feature secondary storage Co-authored-by: yangjunchao <yangjunchao@baidu.com> Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0008.yq01.baidu.com> Co-authored-by: xuewujiao <105861147+xuewujiao@users.noreply.github.com> Co-authored-by: miaoli06 <106585574+miaoli06@users.noreply.github.com> Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com> Co-authored-by: chao9527 <33347532+chao9527@users.noreply.github.com> Co-authored-by: yangjunchao <yangjunchao@baidu.com> Co-authored-by: Thunderbrook <52529258+Thunderbrook@users.noreply.github.com> Co-authored-by: danleifeng <52735331+danleifeng@users.noreply.github.com> Co-authored-by: huwei02 <53012141+huwei02@users.noreply.github.com>
zmxdream
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Dec 7, 2022
* Optimizing the zero key problem in the push phase * Optimize CUDA thread parallelism in MergeGrad phase * Optimize CUDA thread parallelism in MergeGrad phase * Performance optimization, segment gradient merging * Performance optimization, segment gradient merging * Optimize pullsparse and increase keys aggregation * sync gpugraph to gpugraph_v2 (PaddlePaddle#86) * change load node and edge from local to cpu (PaddlePaddle#83) * change load node and edge * remove useless code Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com> * extract pull sparse as single stage(PaddlePaddle#85) Co-authored-by: yangjunchao <yangjunchao@baidu.com> Co-authored-by: miaoli06 <106585574+miaoli06@users.noreply.github.com> Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com> Co-authored-by: chao9527 <33347532+chao9527@users.noreply.github.com> Co-authored-by: yangjunchao <yangjunchao@baidu.com> * [GPUGraph] graph sample v2 (PaddlePaddle#87) * change load node and edge from local to cpu (PaddlePaddle#83) * change load node and edge * remove useless code Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com> * extract pull sparse as single stage(PaddlePaddle#85) Co-authored-by: yangjunchao <yangjunchao@baidu.com> * support ssdsparsetable;test=develop (PaddlePaddle#81) * graph sample v2 * remove log Co-authored-by: miaoli06 <106585574+miaoli06@users.noreply.github.com> Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com> Co-authored-by: chao9527 <33347532+chao9527@users.noreply.github.com> Co-authored-by: yangjunchao <yangjunchao@baidu.com> Co-authored-by: danleifeng <52735331+danleifeng@users.noreply.github.com> * Release cpu graph * uniq nodeid (PaddlePaddle#89) * compatible whole HBM mode (PaddlePaddle#91) Co-authored-by: yangjunchao <yangjunchao@baidu.com> * Gpugraph v2 (PaddlePaddle#93) * compatible whole HBM mode * unify flag for graph emd storage mode and graph struct storage mode * format Co-authored-by: yangjunchao <yangjunchao@baidu.com> * split generate batch into multi stage (PaddlePaddle#92) * split generate batch into multi stage * fix conflict Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com> * [GpuGraph] Uniq feature (PaddlePaddle#95) * uniq feature * uniq feature * uniq feature * [GpuGraph] global startid (PaddlePaddle#98) * uniq feature * uniq feature * uniq feature * global startid * load node edge seperately and release graph (PaddlePaddle#99) * load node edge seperately and release graph * load node edge seperately and release graph Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com> * v2 infer (PaddlePaddle#102) * optimize begin pass and end pass (PaddlePaddle#106) Co-authored-by: yangjunchao <yangjunchao@baidu.com> * fix ins no (PaddlePaddle#104) * [GPUGraph] fix FillOneStep args (PaddlePaddle#107) * fix ins no * fix FillOnestep args * fix bug for whole hbm mode (PaddlePaddle#110) Co-authored-by: yangjunchao <yangjunchao@baidu.com> * [GPUGraph] fix infer && add infer_table_cap (PaddlePaddle#108) * fix ins no * fix FillOnestep args * fix infer && add infer table cap * fix infer * 【PSCORE】perform ssd sparse table (PaddlePaddle#111) * perform ssd sparsetable;test=develop Conflicts: paddle/fluid/framework/fleet/ps_gpu_wrapper.cc * perform ssd sparsetable;test=develop * remove debug code; * remove debug code; * add jemalloc cmake;test=develop * fix wrapper;test=develop * fix sample core (PaddlePaddle#114) * [GpuGraph] optimize shuffle batch (PaddlePaddle#115) * fix sample core * optimize shuffle batch * release gpu mem when sample end (PaddlePaddle#116) Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com> * fix class not found err (PaddlePaddle#118) Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com> * optimize sample (PaddlePaddle#117) * optimize sample * optimize sample Co-authored-by: yangjunchao <yangjunchao@baidu.com> * fix clear gpu mem (PaddlePaddle#119) Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com> * fix sample core (PaddlePaddle#121) Co-authored-by: yangjunchao <yangjunchao@baidu.com> * add ssd cache (PaddlePaddle#123) * add ssd cache;test=develop * add ssd cache;test=develop * add ssd cache;test=develop * add multi epoch train & fix train table change ins & save infer embeding (PaddlePaddle#129) * add multi epoch train & fix train table change ins & save infer embedding * change epoch finish judge * change epoch finish change Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com> * Add debug log (PaddlePaddle#131) * Add debug log * Add debug log Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0008.yq01.baidu.com> * optimize mem in uniq slot feature (PaddlePaddle#130) * [GpuGraph] cherry pick var slot feature && fix load multi path node (PaddlePaddle#136) * optimize mem in uniq slot feature * cherry-pick var slot_feature Co-authored-by: huwei02 <53012141+huwei02@users.noreply.github.com> * [GpuGraph] fix kernel overflow (PaddlePaddle#138) * optimize mem in uniq slot feature * cherry-pick var slot_feature * fix kernel overflow && add max feature num flag Co-authored-by: huwei02 <53012141+huwei02@users.noreply.github.com> * fix ssd cache;test=develop (PaddlePaddle#139) * slot feature secondary storage (PaddlePaddle#140) * slot feature secondary storage * slot feature secondary storage Co-authored-by: yangjunchao <yangjunchao@baidu.com> Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0008.yq01.baidu.com> Co-authored-by: xuewujiao <105861147+xuewujiao@users.noreply.github.com> Co-authored-by: miaoli06 <106585574+miaoli06@users.noreply.github.com> Co-authored-by: root <root@yq01-inf-hic-k8s-a100-ab2-0009.yq01.baidu.com> Co-authored-by: chao9527 <33347532+chao9527@users.noreply.github.com> Co-authored-by: yangjunchao <yangjunchao@baidu.com> Co-authored-by: Thunderbrook <52529258+Thunderbrook@users.noreply.github.com> Co-authored-by: danleifeng <52735331+danleifeng@users.noreply.github.com> Co-authored-by: huwei02 <53012141+huwei02@users.noreply.github.com>
qingshui
added a commit
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that referenced
this pull request
Jan 18, 2024
* fused_seqpool_cvm_with_conv support filter by threshold * add fill zero in fused_seqpool_cvm * add fused seq tensor && support transpose batch fc weight --------- Co-authored-by: mojingcj <ChengJing_dhu@163.com> Co-authored-by: jiaoxuewu <jiaoxuewu@163.com> Co-authored-by: yuandong1998 <1377526365@qq.com> Co-authored-by: shangzhongbin <shangzhongbin@baidu.com>
lizexu123
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Feb 23, 2024
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