support rectangle padding, stride, window and input for PoolProjection #115

qingqing01 · 2016-09-25T02:57:03Z

Support padding for PoolProjection. Also support rectangle stride, window and input.
Fix bug when using start in the original implementation.
Add the support in the config interface.
Now the implementation is consistent between PoolProjection and CudnnPool, which is tested in unit test of test_NetworkCompare.

hedaoyuan · 2016-09-28T06:54:27Z

paddle/math/tests/test_matrixCompare.cpp

+                            strideH, strideW, outH, outW, padH, padW);
+  MatrixPtr targetCheck = CpuMatrix::create(numSamples, outWidth, false, false);
+  targetCheck->copyFrom(*targetGpu);
+  MatrixCheckErr(*target, *targetCheck);


Use MatrixCheckEqual

hedaoyuan · 2016-09-28T06:55:33Z

paddle/math/tests/test_matrixCompare.cpp

+  MatrixPtr targetBwdCheck = CpuMatrix::create(numSamples, inWidth,
+                                               false, false);
+  targetBwdCheck->copyFrom(*inputGpuGrad);
+  MatrixCheckErr(*inputGrad, *targetBwdCheck);


Use MatrixCheckEqual

hedaoyuan · 2016-09-28T06:59:17Z

paddle/math/tests/test_matrixCompare.cpp

@@ -1846,6 +1850,138 @@ TEST(Matrix, classificationError) {
  }
 }

+void testPoolFwdBwd(int numSamples, int channels,


One interface use one test case.

hedaoyuan · 2016-09-28T07:04:19Z

paddle/math/Matrix.h

-                      size_t channels, size_t sizeX, int start_, size_t stride,
-                      size_t outputH, size_t outputW);
+                      size_t channels, size_t sizeX, size_t sizeY,
+                      int start_, size_t strideH, size_t strideW,


start_ -> start

hedaoyuan · 2016-09-28T07:04:43Z

paddle/math/Matrix.h

@@ -1131,21 +1139,31 @@ class GpuMatrix : public Matrix {
                  real alpha = 1.0f, real beta = 0.0f);

  void maxPoolForward(Matrix& inputMat, size_t imgSizeH, size_t imgSizeW,
-                      size_t channels, size_t sizeX, int start_, size_t stride,
-                      size_t outputH, size_t outputW);
+                      size_t channels, size_t sizeX, size_t sizeY, int start_,


start_ -> start

hedaoyuan · 2016-09-28T08:17:24Z

paddle/cuda/src/hl_cuda_cnn.cu

-    int hend = min(hstart + ksize, height);
-    int wstart = pw * stride + start;
-    int wend = min(wstart + ksize, width);
+    int frameNum = index / pooledW / pooledH / channels;


The original implementation each block only calculate one sample, it is easy to support leading dimension for image size.

The block setting can be modified when implementing the variable-length image size. Now, this way is better.

hedaoyuan · 2016-09-28T08:28:25Z

paddle/gserver/tests/test_NetworkCompare.cpp

+TEST(Compare, img_pool) {
+  std::string config_file_a = "./gserver/tests/img_pool_a.conf";
+  std::string config_file_b = "./gserver/tests/img_pool_b.conf";
+  FLAGS_use_gpu = 1;


Avoid influencing other tests.
bool useGpu = FLAGS_use_gpu;
FLAGS_use_gpu = true;
....
FLAGS_use_gpu = useGpu

hedaoyuan · 2016-09-28T08:39:06Z

paddle/gserver/tests/test_NetworkCompare.cpp

@@ -116,7 +116,15 @@ void calcGradient(DataIn& in, DataOut& out, const std::string& configPath) {
  gradientMachine->start(trainer.getConfig(), nullptr);
  gradientMachine->forward(in.inArgs, &outArgs, PASS_TRAIN);
  for (size_t i = 0; i < in.outGrads.size(); i++) {
-    outArgs[i].grad->copyFrom(*in.outGrads[i]);
+    if (outArgs[i].grad) {


When will outArgs.grad is empty?

If all the layers in the config have no parameters, or not set NeedGradient()，or the input layer have no gradient, the outArgs[i] will be nullptr. If layer-needGradient() is false, the backward will not calculate in NeuralNetwork.cpp.

See initNeedFlags() in paddle/gserver/layers/Layer.cpp.

Now add img_conv_layer in the config.

hedaoyuan · 2016-09-28T08:40:40Z

paddle/math/Matrix.cpp


  /* initialize the data_ */
  for (size_t i = 0; i < height_ * width_; i++) {
-    data_[i] = -FLT_MAX;
+    outData[i] = -real(FLT_MAX);


(real)FLT_MAX

hedaoyuan

If start is not used, it can be removed.

1. Remove start 2. refine img_pool_a/b.conf for test_NetworkCompare 3. Split unit test

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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. 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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

* refine resize buffer * add ComputeAt3 * rename ComputeAtTransform2 to ComputeAtTransform * add buffer size to ComputeAtTransform * add helper function to get preceding axis from access * turn on buffer shape * add compute_at tests * add SolveInequality to CAS * add cast helper function to Cast type * rename ComputeAt * rename ComputeAt3 to ComputeAt in test01 * fix gtest

* fix unsqueeze_handler * rm ipu_inplace_pass * restore ipu_pass_base * rclean code

* Integrate with visualdl * visualdl: add doc and control paramter * visual dl: move import, add install doc

* fix sample core * optimize shuffle batch

* 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>

* 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>

move fused_concat op to paddle

qingqing01 force-pushed the pool_padding branch 2 times, most recently from 9b21058 to 100ca4e Compare September 25, 2016 03:30

qingqing01 assigned hedaoyuan, emailweixu, reyoung and luotao1 Sep 25, 2016

hedaoyuan reviewed Sep 28, 2016

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qingqing01 force-pushed the pool_padding branch 2 times, most recently from 58c273d to 838f93d Compare September 30, 2016 06:57

qingqing01 added 3 commits September 30, 2016 16:48

support rectangle padding, stride, window and input for PoolProjection

1b4a816

Follow comments.

faddd0b

1. Remove start 2. refine img_pool_a/b.conf for test_NetworkCompare 3. Split unit test

Modify the test in img_layers.py

5bb9f28

qingqing01 force-pushed the pool_padding branch from 838f93d to 5bb9f28 Compare September 30, 2016 08:48

hedaoyuan approved these changes Oct 9, 2016

View reviewed changes

hedaoyuan merged commit 191fafe into PaddlePaddle:master Oct 9, 2016

qingqing01 deleted the pool_padding branch October 28, 2016 10:23

gglin001 added a commit to graphcore/Paddle-fork that referenced this pull request Dec 8, 2021

fix inplace & unsqueeze_op (PaddlePaddle#115)

e6a7f40

* fix unsqueeze_handler * rm ipu_inplace_pass * restore ipu_pass_base * rclean code

AnnaTrainingG pushed a commit to AnnaTrainingG/Paddle that referenced this pull request Sep 19, 2022

Integrate with visualdl (PaddlePaddle#115)

202dce6

* Integrate with visualdl * visualdl: add doc and control paramter * visual dl: move import, add install doc

danleifeng pushed a commit to danleifeng/Paddle that referenced this pull request Sep 21, 2022

[GpuGraph] optimize shuffle batch (PaddlePaddle#115)

eef65cd

* fix sample core * optimize shuffle batch

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

Fix demo of pruning to load pretrained model. (PaddlePaddle#115)

a784e4f

jack603047588 added a commit to jiaoxuewu/PaddleBox that referenced this pull request Oct 29, 2024

Merge pull request PaddlePaddle#115 from paddlebox-xpu/paddlebox

ee4f3d3

move fused_concat op to paddle

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support rectangle padding, stride, window and input for PoolProjection #115

support rectangle padding, stride, window and input for PoolProjection #115

qingqing01 commented Sep 25, 2016

hedaoyuan Sep 28, 2016 •

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hedaoyuan Sep 28, 2016 •

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support rectangle padding, stride, window and input for PoolProjection #115

support rectangle padding, stride, window and input for PoolProjection #115

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qingqing01 commented Sep 25, 2016

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