test_sparse_compile
12 次代码提交
| 作者 | SHA1 | 备注 | 提交日期 | |
|---|---|---|---|---|
 Hongzhi (Steve), Chen
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98325b1097 |
[Misc] Black auto fix. (#4691)
Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal> |
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Zihao Ye
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bc209bff94 |
[bugfix] Fix the deterministic of kernel test and add documentation. (#1799)
* upd * upd * upd * relax * relax too * upd |
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Da Zheng
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cadcc1c2a6 |
[Feature] add sparse embedding. (#1497)
* add sparse embedding. * fix * add test. * man fixes. * many fixes * fix sparse emb. * fix. * fix lint. * fix lint. * fix kvstore. * expose DistTensor. * test sparse embeddings. * add attach_grad to the backends. * remove part_id * fix. * move backward computation. * move more computation to backend. * fix a bug when applying learning rate. * fix a few things. * fix a few things. * add docstring * fix. * apply no_grad. * fix tests. * fix for other frameworks. * add examples in docstring. |
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Zihao Ye
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071cba1f2b |
[kernel] New SpMM & SDDMM kernel on CPU and CUDA (#1644)
* udp * simplify * sddmm dot cpu * upd * format * upd * compatible with MJ's PR * lint * upd * upd * upd * python end * upd * upd * lint * lint * upd * upd * upd * upd * upd * lint * fix mxnet * upd * lint * use minjie's ptr * macro * upd * reorg * lint * fix corner cases * upd * enrich cpu docs * upd * upd * lint * lint * pylint * sx review * improve docstring * python doc * upd * restructure * lint * upd test * upd * pylint * fix corner cases and test |
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xiang song(charlie.song)
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0a56d65223 |
[Feature] x_dot_x builtin kernel support (#831)
* upd
* fig edgebatch edges
* add test
* trigger
* Update README.md for pytorch PinSage example.
Add noting that the PinSage model example under
example/pytorch/recommendation only work with Python 3.6+
as its dataset loader depends on stanfordnlp package
which work only with Python 3.6+.
* Provid a frame agnostic API to test nn modules on both CPU and CUDA side.
1. make dgl.nn.xxx frame agnostic
2. make test.backend include dgl.nn modules
3. modify test_edge_softmax of test/mxnet/test_nn.py and
test/pytorch/test_nn.py work on both CPU and GPU
* Fix style
* Delete unused code
* Make agnostic test only related to tests/backend
1. clear all agnostic related code in dgl.nn
2. make test_graph_conv agnostic to cpu/gpu
* Fix code style
* fix
* doc
* Make all test code under tests.mxnet/pytorch.test_nn.py
work on both CPU and GPU.
* Fix syntex
* Remove rand
* Start implementing masked-mm kernel.
Add base control flow code.
* Add masked dot declare
* Update func/variable name
* Skeleton compile OK
* Update Implement. Unify BinaryDot with BinaryReduce
* New Impl of x_dot_x, reuse binary reduce template
* Compile OK.
TODO:
1. make sure x_add_x, x_sub_x, x_mul_x, x_div_x work
2. let x_dot_x work
3. make sure backward of x_add_x, x_sub_x, x_mul_x, x_div_x work
4. let x_dot_x backward work
* Fix code style
* Now we can pass the tests/compute/test_kernel.py for add/sub/mul/div forward and backward
* Fix mxnet test code
* Add u_dot_v, u_dot_e, v_dot_e unitest.
* Update doc
* Now also support v_dot_u, e_dot_u, e_dot_v
* Add unroll for some loop
* Add some Opt for cuda backward of dot builtin.
Backward is still slow for dot
* Apply UnravelRavel opt for broadcast backward
* update docstring
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VoVAllen
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3386f466ac | [Fix test backend] Fix softmax in mxnet backend (#828) | ||
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Zihao Ye
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650f6ee1e0 |
[NN] Add commonly used GNN models from examples to dgl.nn modules. (#748)
* gat * upd * upd sage * upd * upd * upd * upd * upd * add gmmconv * upd ggnn * upd * upd * upd * upd * add citation examples * add README * fix cheb * improve doc * formula * upd * trigger * lint * lint * upd * add test for transform * add test * check * upd * improve doc * shape check * upd * densechebconv, currently not correct (?) * fix cheb * fix * upd * upd sgc-reddit * upd * trigger |
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Lingfan Yu
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74e13eea61 |
[Model] Update GAT model code (#622)
* fix gat code to use latest edge softmax module * avoid transpose * update README * use edge_softmax op * mxnet edge softmax op * mxnet gat * update README * fix unittest * fix ci * fix mxnet nn test; relax criteria for prod reducer |
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|
HQ
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993fd3f94b |
[Enhancement] Add DGLGraph.to for PyTorch and MXNet backend (#600)
* add graph_to * use backend copy_to * add test * fix test * framework agnostic to() test * disable pylint complaint * add examples * fix docstring * formatting * Format * Update test_to_device.py |
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Lingfan Yu
|
653428bdc7 |
[Feature][Kernel] DGL kernel support (#596)
* [Kernel] Minigun integration and fused kernel support (#519) * kernel interface * add minigun * Add cuda build * functors * working on binary elewise * binary reduce * change kernel interface * WIP * wip * fix minigun * compile * binary reduce kernels * compile * simple test passed * more reducers * fix thrust problem * fix cmake * fix cmake; add proper guard for atomic * WIP: bcast * WIP * bcast kernels * update to new minigun pass-by-value practice * broadcasting dim * add copy src and copy edge * fix linking * fix none array problem * fix copy edge * add device_type and device_id to backend operator * cache csr adj, remove cache for adjmat and incmat * custom ops in backend and pytorch impl * change dgl-mg kernel python interface * add id_mapping var * clean up plus v2e spmv schedule * spmv schedule & clean up fall back * symbolic message and reduce func, remove bundle func * new executors * new backend interface for dgl kernels and pytorch impl * minor fix * fix * fix docstring, comments, func names * nodeflow * fix message id mapping and bugs... * pytorch test case & fix * backward binary reduce * fix bug * WIP: cusparse * change to int32 csr for cusparse workaround * disable cusparse * change back to int64 * broadcasting backward * cusparse; WIP: add rev_csr * unit test for kernels * pytorch backward with dgl kernel * edge softmax * fix backward * improve softmax * cache edge on device * cache mappings on device * fix partial forward code * cusparse done * copy_src_sum with cusparse * rm id getter * reduce grad for broadcast * copy edge reduce backward * kernel unit test for broadcasting * full kernel unit test * add cpu kernels * edge softmax unit test * missing ref * fix compile and small bugs * fix bug in bcast * Add backward both * fix torch utests * expose infershape * create out tensor in python * fix c++ lint * [Kernel] Add GPU utest and kernel utest (#524) * fix gpu utest * cuda utest runnable * temp disable test nodeflow; unified test for kernel * cuda test kernel done * [Kernel] Update kernel branch (#550) * [Model] add multiprocessing training with sampling. (#484) * reorganize sampling code. * add multi-process training. * speed up gcn_cv * fix graphsage_cv. * add new API in graph store. * update barrier impl. * support both local and distributed training. * fix multiprocess train. * fix. * fix barrier. * add script for loading data. * multiprocessing sampling. * accel training. * replace pull with spmv for speedup. * nodeflow copy from parent with context. * enable GPU. * fix a bug in graph store. * enable multi-GPU training. * fix lint. * add comments. * rename to run_store_server.py * fix gcn_cv. * fix a minor bug in sampler. * handle error better in graph store. * improve graphsage_cv for distributed mode. * update README. * fix. * update. * [Tutorial] add sampling tutorial. (#522) * add sampling tutorial. * add readme * update author list. * fix indent in the code. * rename the file. * update tutorial. * fix the last API. * update image. * [BUGFIX] fix the problems in the sampling tutorial. (#523) * add index. * update. * update tutorial. * fix gpu utest * cuda utest runnable * temp disable test nodeflow; unified test for kernel * cuda test kernel done * Fixing typo in JTNN after interface change (#536) * [BugFix] Fix getting src and dst id of ALL edges in NodeFlow.apply_block (#515) * [Bug Fix] Fix inplace op at backend (#546) * Fix inplace operation * fix line seprator * [Feature] Add batch and unbatch for immutable graph (#539) * Add batch and unbatch for immutable graph * fix line seprator * fix lintr * remove unnecessary include * fix code review * [BUGFix] Improve multi-processing training (#526) * fix. * add comment. * remove. * temp fix. * initialize for shared memory. * fix graphsage. * fix gcn. * add more unit tests. * add more tests. * avoid creating shared-memory exclusively. * redefine remote initializer. * improve initializer. * fix unit test. * fix lint. * fix lint. * initialize data in the graph store server properly. * fix test. * fix test. * fix test. * small fix. * add comments. * cleanup server. * test graph store with a random port. * print. * print to stderr. * test1 * test2 * remove comment. * adjust the initializer signature. * [API] update graph store API. (#549) * add init_ndata and init_edata in DGLGraph. * adjust SharedMemoryGraph API. * print warning. * fix comment. * update example * fix. * fix examples. * add unit tests. * add comments. * [Refactor] Immutable graph index (#543) * WIP * header * WIP .cc * WIP * transpose * wip * immutable graph .h and .cc * WIP: nodeflow.cc * compile * remove all tmp dl managed ctx; they caused refcount issue * one simple test * WIP: testing * test_graph * fix graph index * fix bug in sampler; pass pytorch utest * WIP on mxnet * fix lint * fix mxnet unittest w/ unfortunate workaround * fix msvc * fix lint * SliceRows and test_nodeflow * resolve reviews * resolve reviews * try fix win ci * try fix win ci * poke win ci again * poke * lazy multigraph flag; stackoverflow error * revert node subgraph test * lazy object * try fix win build * try fix win build * poke ci * fix build script * fix compile * add a todo * fix reviews * fix compile * [Kernel] Update kernel branch (#576) * [Model] add multiprocessing training with sampling. (#484) * reorganize sampling code. * add multi-process training. * speed up gcn_cv * fix graphsage_cv. * add new API in graph store. * update barrier impl. * support both local and distributed training. * fix multiprocess train. * fix. * fix barrier. * add script for loading data. * multiprocessing sampling. * accel training. * replace pull with spmv for speedup. * nodeflow copy from parent with context. * enable GPU. * fix a bug in graph store. * enable multi-GPU training. * fix lint. * add comments. * rename to run_store_server.py * fix gcn_cv. * fix a minor bug in sampler. * handle error better in graph store. * improve graphsage_cv for distributed mode. * update README. * fix. * update. * [Tutorial] add sampling tutorial. (#522) * add sampling tutorial. * add readme * update author list. * fix indent in the code. * rename the file. * update tutorial. * fix the last API. * update image. * [BUGFIX] fix the problems in the sampling tutorial. (#523) * add index. * update. * update tutorial. * fix gpu utest * cuda utest runnable * temp disable test nodeflow; unified test for kernel * cuda test kernel done * Fixing typo in JTNN after interface change (#536) * [BugFix] Fix getting src and dst id of ALL edges in NodeFlow.apply_block (#515) * [Bug Fix] Fix inplace op at backend (#546) * Fix inplace operation * fix line seprator * [Feature] Add batch and unbatch for immutable graph (#539) * Add batch and unbatch for immutable graph * fix line seprator * fix lintr * remove unnecessary include * fix code review * [BUGFix] Improve multi-processing training (#526) * fix. * add comment. * remove. * temp fix. * initialize for shared memory. * fix graphsage. * fix gcn. * add more unit tests. * add more tests. * avoid creating shared-memory exclusively. * redefine remote initializer. * improve initializer. * fix unit test. * fix lint. * fix lint. * initialize data in the graph store server properly. * fix test. * fix test. * fix test. * small fix. * add comments. * cleanup server. * test graph store with a random port. * print. * print to stderr. * test1 * test2 * remove comment. * adjust the initializer signature. * [API] update graph store API. (#549) * add init_ndata and init_edata in DGLGraph. * adjust SharedMemoryGraph API. * print warning. * fix comment. * update example * fix. * fix examples. * add unit tests. * add comments. * [Refactor] Immutable graph index (#543) * WIP * header * WIP .cc * WIP * transpose * wip * immutable graph .h and .cc * WIP: nodeflow.cc * compile * remove all tmp dl managed ctx; they caused refcount issue * one simple test * WIP: testing * test_graph * fix graph index * fix bug in sampler; pass pytorch utest * WIP on mxnet * fix lint * fix mxnet unittest w/ unfortunate workaround * fix msvc * fix lint * SliceRows and test_nodeflow * resolve reviews * resolve reviews * try fix win ci * try fix win ci * poke win ci again * poke * lazy multigraph flag; stackoverflow error * revert node subgraph test * lazy object * try fix win build * try fix win build * poke ci * fix build script * fix compile * add a todo * fix reviews * fix compile * all demo use python-3 (#555) * [DEMO] Reproduce numbers of distributed training in AMLC giant graph paper (#556) * update * update * update * update num_hops * fix bug * update * report numbers of distributed training in AMLC giant graph paper * [DEMO] Remove duplicate code for sampling (#557) * update * update * re-use single-machine code * update * use relative path * update * update * update * add __init__.py * add __init__.py * import sys, os * fix typo * update * [Perf] Improve performance of graph store. (#554) * fix. * use inplace. * move to shared memory graph store. * fix. * add more unit tests. * fix. * fix test. * fix test. * disable test. * fix. * [BUGIFX] fix a bug in edge_ids (#560) * add test. * fix compute. * fix test. * turn on test. * fix a bug. * add test. * fix. * disable test. * [DEMO] Add Pytorch demo for distributed sampler (#562) * update * update * update * add sender * update * remove duplicate cpde * [Test] Add gtest to project (#547) * add gtest module * add gtest * fix * Update CMakeLists.txt * Update README.md * [Perf] lazily create msg_index. (#563) * lazily create msg_index. * update test. * [BUGFIX] fix bugs for running GCN on giant graphs. (#561) * load mxnet csr. * enable load large csr. * fix * fix. * fix int overflow. * fix test. * [BugFix] Fix error when bfs_level = 0 in Entity Classification with RGCN (#559) * [DEMO] Update demo of distributed sampler (#564) * update * update * update demo * add network cpp test (#565) * Add unittest for C++ RPC (#566) * [CI] Fix CI for cpp test (#570) * fix CI for cpp test * update port number * [Docker] update docker image (#575) * update docker image * specify lint version * rm torch import from unified tests * [Kernel][Scheduler][MXNet] Scheduler for DGL kernels and MXNet backend support (#541) * [Model] add multiprocessing training with sampling. (#484) * reorganize sampling code. * add multi-process training. * speed up gcn_cv * fix graphsage_cv. * add new API in graph store. * update barrier impl. * support both local and distributed training. * fix multiprocess train. * fix. * fix barrier. * add script for loading data. * multiprocessing sampling. * accel training. * replace pull with spmv for speedup. * nodeflow copy from parent with context. * enable GPU. * fix a bug in graph store. * enable multi-GPU training. * fix lint. * add comments. * rename to run_store_server.py * fix gcn_cv. * fix a minor bug in sampler. * handle error better in graph store. * improve graphsage_cv for distributed mode. * update README. * fix. * update. * [Tutorial] add sampling tutorial. (#522) * add sampling tutorial. * add readme * update author list. * fix indent in the code. * rename the file. * update tutorial. * fix the last API. * update image. * [BUGFIX] fix the problems in the sampling tutorial. (#523) * add index. * update. * update tutorial. * fix gpu utest * cuda utest runnable * temp disable test nodeflow; unified test for kernel * cuda test kernel done * edge softmax module * WIP * Fixing typo in JTNN after interface change (#536) * mxnet backend support * improve reduce grad * add max to unittest backend * fix kernel unittest * [BugFix] Fix getting src and dst id of ALL edges in NodeFlow.apply_block (#515) * lint * lint * win build * [Bug Fix] Fix inplace op at backend (#546) * Fix inplace operation * fix line seprator * [Feature] Add batch and unbatch for immutable graph (#539) * Add batch and unbatch for immutable graph * fix line seprator * fix lintr * remove unnecessary include * fix code review * [BUGFix] Improve multi-processing training (#526) * fix. * add comment. * remove. * temp fix. * initialize for shared memory. * fix graphsage. * fix gcn. * add more unit tests. * add more tests. * avoid creating shared-memory exclusively. * redefine remote initializer. * improve initializer. * fix unit test. * fix lint. * fix lint. * initialize data in the graph store server properly. * fix test. * fix test. * fix test. * small fix. * add comments. * cleanup server. * test graph store with a random port. * print. * print to stderr. * test1 * test2 * remove comment. * adjust the initializer signature. * try * fix * fix * fix * fix * fix * try * test * test * test * try * try * try * test * fix * try gen_target * fix gen_target * fix msvc var_args expand issue * fix * [API] update graph store API. (#549) * add init_ndata and init_edata in DGLGraph. * adjust SharedMemoryGraph API. * print warning. * fix comment. * update example * fix. * fix examples. * add unit tests. * add comments. * [Refactor] Immutable graph index (#543) * WIP * header * WIP .cc * WIP * transpose * wip * immutable graph .h and .cc * WIP: nodeflow.cc * compile * remove all tmp dl managed ctx; they caused refcount issue * one simple test * WIP: testing * test_graph * fix graph index * fix bug in sampler; pass pytorch utest * WIP on mxnet * fix lint * fix mxnet unittest w/ unfortunate workaround * fix msvc * fix lint * SliceRows and test_nodeflow * resolve reviews * resolve reviews * try fix win ci * try fix win ci * poke win ci again * poke * lazy multigraph flag; stackoverflow error * revert node subgraph test * lazy object * try fix win build * try fix win build * poke ci * fix build script * fix compile * add a todo * fix reviews * fix compile * WIP * WIP * all demo use python-3 (#555) * ToImmutable and CopyTo * [DEMO] Reproduce numbers of distributed training in AMLC giant graph paper (#556) * update * update * update * update num_hops * fix bug * update * report numbers of distributed training in AMLC giant graph paper * [DEMO] Remove duplicate code for sampling (#557) * update * update * re-use single-machine code * update * use relative path * update * update * update * add __init__.py * add __init__.py * import sys, os * fix typo * update * [Perf] Improve performance of graph store. (#554) * fix. * use inplace. * move to shared memory graph store. * fix. * add more unit tests. * fix. * fix test. * fix test. * disable test. * fix. * [BUGIFX] fix a bug in edge_ids (#560) * add test. * fix compute. * fix test. * turn on test. * fix a bug. * add test. * fix. * disable test. * DGLRetValue DGLContext conversion * [DEMO] Add Pytorch demo for distributed sampler (#562) * update * update * update * add sender * update * remove duplicate cpde * [Test] Add gtest to project (#547) * add gtest module * add gtest * fix * Update CMakeLists.txt * Update README.md * Add support to convert immutable graph to 32 bits * [Perf] lazily create msg_index. (#563) * lazily create msg_index. * update test. * fix binary reduce following new minigun template * enable both int64 and int32 kernels * [BUGFIX] fix bugs for running GCN on giant graphs. (#561) * load mxnet csr. * enable load large csr. * fix * fix. * fix int overflow. * fix test. * new kernel interface done for CPU * docstring * rename & docstring * copy reduce and backward * [BugFix] Fix error when bfs_level = 0 in Entity Classification with RGCN (#559) * [DEMO] Update demo of distributed sampler (#564) * update * update * update demo * adapt cuda kernels to the new interface * add network cpp test (#565) * fix bug * Add unittest for C++ RPC (#566) * [CI] Fix CI for cpp test (#570) * fix CI for cpp test * update port number * [Docker] update docker image (#575) * update docker image * specify lint version * rm torch import from unified tests * remove pytorch-specific test_function * fix unittest * fix * fix unittest backend bug in converting tensor to numpy array * fix * mxnet version * [BUGFIX] fix for MXNet 1.5. (#552) * remove clone. * turn on numpy compatible. * Revert "remove clone." This reverts commit 17bbf76ed72ff178df6b3f35addc428048672457. * revert format changes * fix mxnet api name * revert mistakes in previous revert * roll back CI to 20190523 build * fix unittest * disable test_shared_mem_store.py for now * remove mxnet/test_specialization.py * sync win64 test script * fix lowercase * missing backend in gpu unit test * transpose to get forward graph * pass update all * add sanity check * passing test_specialization.py * fix and pass test_function * fix check * fix pytorch softmax * mxnet kernels * c++ lint * pylint * try * win build * fix * win * ci enable gpu build * init submodule recursively * backend docstring * try * test win dev * doc string * disable pytorch test_nn * try to fix windows issue * bug fixed, revert changes * [Test] fix CI. (#586) * disable unit test in mxnet tutorial. * retry socket connection. * roll back to set_np_compat * try to fix multi-processing test hangs when it fails. * fix test. * fix. * doc string * doc string and clean up * missing field in ctypes * fix node flow schedule and unit test * rename * pylint * copy from parent default context * fix unit test script * fix * demo bug in nodeflow gpu test * [Kernel][Bugfix] fix nodeflow bug (#604) * fix nodeflow bug * remove debug code * add build gtest option * fix cmake; fix graph index bug in spmv.py * remove clone * fix div rhs grad bug * [Kernel] Support full builtin method, edge softmax and unit tests (#605) * add full builtin support * unit test * unit test backend * edge softmax * apply edge with builtin * fix kernel unit test * disable mxnet test_shared_mem_store * gen builtin reduce * enable mxnet gpu unittest * revert some changes * docstring * add note for the hack * [Kernel][Unittest][CI] Fix MXNet GPU CI (#607) * update docker image for MXNet GPU CI * force all dgl graph input and output on CPU * fix gpu unittest * speedup compilation * add some comments * lint * add more comments * fix as requested * add some comments * comment * lint * lint * update pylint * fix as requested * lint * lint * lint * docstrings of python DGL kernel entries * disable lint warnings on arguments in kernel.py * fix docstring in scheduler * fix some bug in unittest; try again * Revert "Merge branch 'kernel' of github.com:zzhang-cn/dgl into kernel" This reverts commit 1d2299e68b004182ea6130b088de1f1122b18a49, reversing changes made to ddc97fbf1bec2b7815c0da7c74f7ecb2f428889b. * Revert "fix some bug in unittest; try again" This reverts commit ddc97fbf1bec2b7815c0da7c74f7ecb2f428889b. * more comprehensive kernel test * remove shape check in test_specialization |
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VoVAllen
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5b9147c464 |
[Feature] Edge Group Apply API (#358)
* add rtfd * rrr * update * change env * temp fix * update * fix * fix * add * conf * Move file_pattern from Makefile to conf.py * remove yml * fix * fix * fix * fix * remove yml * remove yml * add doc docker * add dgl install script * change name * change dockerfile * fix * name * add * fix * fix * fix * fix * fix docker * delete sphinx.py for doc-build backend * Add softmax to test backend * Add group apply function and tests * Delete unnecessary file * Update comments and test * Fix lint * remove unused bucketing code * group apply edge bucketing code * gen degree bucket schedule for group apply edge * schedule and graph code * fix compiling * fix * fix lint * naming * harder test case * fix comments * more comments * tweak function name |
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Quan (Andy) Gan
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e19cd62ecd |
[Test] Unify tests for different backends (#333)
* test basics * batched graph & filter, mxnet filter fix * frame and function; bugfix * test graph adj and inc matrices * fixing start = 0 for mxnet * test index * inplace update & line graph * multi send recv * more tests * oops * more tests * removing old test files; readonly graphs for mxnet still kept * modifying test scripts * adding a placeholder for pytorch to reserve directory * torch 0.4.1 compat fixes * moving backend out of compute to avoid nose detection * tests guide * mx sparse-to-dense/sparse-to-numpy is buggy * oops * contribution guide for unit tests * printing incmat * printing dlpack * small push * typo * fixing duplicate entries that causes undefined behavior * move equal comparison to backend |