dc19cd5687
[Example] Dynamic Graph CNN on Point Cloud ( #789 )
...
* initial commit
* second commit
* another commit
* change docstring
* migrating to dgl.nn
* fixes
* docs
* lint
* multiple fixes
* doc
2019-08-28 09:21:57 +08:00
2c234118c3
[Feature] Add builtin mean reducer ( #787 )
...
* upd
* upd
* upd
* upd
* upd
* passed test
* add note
* upd
* trigger
* slight change
* upd
* upd
* trigger
* fix
* simplify
* upd
* upd
* fudge
* upd
* trigger
* test partial
* upd
* trigger
2019-08-25 16:30:51 -04:00
5d3f470b72
[Feature] DGL Pooling modules ( #669 )
...
* removal doc
* glob
* upd
* rm knn
* add softmax
* upd
* upd
* add broadcast and s2s
* optimize max_on
* forsaken changes to heterograph
* upd
* upd
* upd
* upd
* upd
* bugfix
* upd
* upd
* upd
* upd
* format upd
* upd format
* upd doc
* upd
* import order
* upd
* rm warnings
* fix
* upd test
* upd
* upd
* fix device
* upd
* upd
* upd
* upd
* remove 1.1
* upd
* trigger
* trigger
* add more tests
* fix device
* upd
* upd
* refactor
* fix?
* fix
* upd docstring
* refactor
* upd
* fix
* upd
* upd
* upd
* fix
* upd docs
* add shape
* refactor & upd doc
* upd doc
* upd
2019-08-06 01:43:25 +08:00
11974812ca
[Backend] use new split in MXNet ( #660 )
...
* use new split.
* fix.
* fix.
* add zero copy from numpy.
2019-06-15 14:08:42 -07:00
16ec2a8b10
we need to sync for mxnet. ( #648 )
2019-06-11 18:22:21 -07:00
5549c70d33
[BugFix] Fix memory leak in DGL edge softmax module ( #643 )
...
* fix gat memory increase bug
* work around mxnet memory leak bug
* comments
* poke linter
* lint
* lint
2019-06-10 18:44:23 -04:00
70ee86648b
[Docker]Move to the latest MXNet version. ( #610 )
...
* use the right version of mxnet.
* fix.
2019-06-06 13:56:35 -07:00
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
2019-06-06 15:47:55 -04:00
40dc18595b
[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.
2019-05-29 21:40:16 -04:00
ada3786c57
[Docker]Update MXNet CI Image ( #582 )
...
* use mxnet 20190528 build
* fix mxnet api name
2019-05-28 18:04:54 -07:00
bd2d2c75b5
[BUGFIX] fix for MXNet 1.5. ( #552 )
...
* remove clone.
* turn on numpy compatible.
* Revert "remove clone."
This reverts commit 17bbf76ed72ff178df6b3f35addc428048672457.
2019-05-28 14:42:44 -07:00
aa129522e0
[Bug Fix] Fix inplace op at backend ( #546 )
...
* Fix inplace operation
* fix line seprator
2019-05-19 23:43:54 -04:00
929742b588
[Feature] Reimplement Immutable graph index in DGL ( #342 )
...
* init.
* it's compiled.
* add immutable graph constructor.
* add immutable graph API.
* fix.
* impl get adjacency matrix.
* fix.
* fix graph_index from scipy matrix.
* add neighbor sampling.
* remap vertex ids.
* fix.
* move sampler test.
* fix tests.
* add comments
* remove mxnet-specific immutable graph.
* fix.
* fix lint.
* fix.
* try to fix windows compile error.
* fix.
* fix.
* add test.
* unify Graph and ImmutableGraph.
* fix bugs.
* fix compile.
* move immutable graph.
* fix.
* remove print.
* fix lint.
* fix
* fix lint.
* fix lint.
* fix test.
* fix comments.
* merge GraphIndex and ImmutableGraphIndex.
* temp fix.
* impl GetAdj.
* fix lint
* fix.
* fix.
* fix.
* fix.
* fix.
* use csr only for readonly graph.
* Revert "use csr only for readonly graph."
This reverts commit 8e24bb033af8504531b22849de5b7567b168e0d5.
* remove code.
* fix.
* fix.
* fix.
* fix.
* fix.
* fix.
* address comments.
* fix for comments.
* fix comments.
* revert.
* move test_graph_index to compute.
* fix.
* fix.
* impl GetAdj for coo.
* fix.
* fix tests.
* address comments.
* address comments.
* fix comment.
* address comments.
* use lambda.
* other comments.
* address comments.
* modify the semantics of edges.
* fix order.
* use DGLIdIter
* fix.
* remove NotImplemented.
* revert some code.
2019-01-17 09:59:53 +08:00
707334ce85
minor spelling tweaks ( #349 )
...
* minor spelling tweaks
* Update CONTRIBUTORS.md
2019-01-10 12:02:31 -05:00
e19cd62ecd
[Test] Unify tests for different backends ( #333 )
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* 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
2019-01-05 23:32:33 -05:00
4bd4d6e348
[Lint] Pylint ( #330 )
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* fix lint for graph_index.py
* pylint for base.py
* pylint for batched_graph.py
* pylint for frame.py; simplify and fix bugs in frame when index is slice type
* pylint for graph.py
* pylint for immutable_graph_index.py
* pylint for init.py
* pylint for rest files in root package
* pylint for _ffi package
* pylint for function package
* pylint for runtime package
* pylint for runtime.ir package
* add pylint to ci
* fix mx tests
* fix lint errors
* fix ci
* fix as requested
* fix lint
2019-01-01 15:15:41 -05:00
2664ed2dff
[Bugfix] Fix multiple send recv ( #320 )
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* fix bug: frame append should check itself
* more test case
* fix multi-send-recv bug
* remv msg graph and clean up
* test cases
* more test case
* fix for batchedgraph
* fix bugs: converting from a graph with edges
* fix
* add more operators to utils.Index
* clear frame executor
* change message indicator to a graph level index
* fix test cases
* guard the case that mxnet does not support concat zero shape tensor
* fix bug: avoid convert full slice to numpy
* test multi-send-recv after conversion
* fix as request (partially)
* add dtype, ctx to full_1d
* add slice data to utils.Index
* fix
* more doc string
* fix as requested
2018-12-23 21:35:49 -05:00
063ed69cdf
[BUGFIX] fix a bug in creating immutable graph index. ( #251 )
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* fix a bug in creating immutable graph index.
* fix for new changes in the backend API.
* fix for creating immutable graph index from coo matrix.
* retrigger
2018-12-05 17:51:50 -05:00
899d125bb1
Add tests for MXNet and throw NotImplementedError if not implemented ( #258 )
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* add more unit tests for mxnet.
* fix.
2018-12-05 10:41:33 -08:00
eafcb7e7f5
[Bugfix][MXNet] Fix edge order and builtin max bug in mx ( #247 )
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* Fix edge order and builtin max bug in mx
* fix as requested
2018-12-05 01:32:54 -08:00
c99f423718
[Sampler] extend sampler ( #238 )
2018-12-04 16:46:26 -05:00
a5a35d1f7a
[Sampler] improve random shuffle performance in sampler ( #228 )
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* fix.
* make it generic.
* add the API.
* fix.
* remove mxnet.
2018-12-04 09:24:32 -08:00
57b07fce92
[Model] Accelerate SSE ( #172 )
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* lazy eval edge ids.
* parallelize node id lookup.
* fix a bug.
* use mxnet for index.
* use update_all in the subgraph training.
* sample neighbors.
* Revert "parallelize node id lookup."
This reverts commit e661f69bb06cb5a7c246f0e106f245e27800e220.
* update README.
* cache subgraphs.
* support all degrees.
* cache adj in CPU.
* fix a bug in sse.
* print.
* raise error on mutable graphs.
* measure train time per epoch.
* fix a bug in graph_index.
* remove readonly in DGLSubGraph.
* cache subgraph properly.
* accelerate getting adjacency.
* split infer.
* lazy eval edges.
* specify inference mode.
* update for new sampler.
* use new mxnet sampling api.
* fix indent.
* remove profiling code.
* remove mxnet from sampler.
* return a lambda function for graph edges.
* add docs for immutable subgraph.
* Revert "return a lambda function for graph edges."
This reverts commit 0de5d7f100e230c518a3fb8976a6227f474d09ee.
* get parent_eid.
2018-12-02 12:43:25 -05:00
9e8261735f
[Doc] Minor doc update for mxnet/immutable_graph_index ( #194 )
2018-11-29 20:59:13 -05:00
5f89cd662e
Fix the convergence problem in SSE. ( #162 )
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* add a test.
* move file.
* debug
* add degree normalization.
* it can converge now.
* remove hidden_data.
* use readonly graph index.
* use subgraph loader.
* refactor code and remove intermediate data.
* split inference.
* mix cpu and gpu training.
* fix mxnet sparse_matrix constructor.
* convert tensor context.
* set up the prediction model.
* load mxnet csr directly.
* add timing.
* move test_sse.py to sse_batch.py
* fix the tensor version of SSE.
* update README.
2018-11-20 15:57:52 +08:00
2389df8155
[API] Subgraph sampling API. ( #138 )
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* add neighbor sampler.
* fix sampler.
* handle non-existing nodes differently in MapParentIdToSubgraphId.
* fix sampling tests.
* parallelize sampling.
* add more tests.
* fix a bug in subgraph loader.
* get number of sampled nodes directly.
* load mxnet CSR to DGLGraph directly.
* create graph from mxnet csr array directly.
* use subgraph loader in SSE.
* fix a bug in sampling.
* output framework tensor.
* fix.
* remove unnecessary code.
* fix tests.
* add SSE README.
* move to contrib.
* address comments.
* add tests.
2018-11-14 13:51:27 -08:00
048f6d7a30
[GraphIndex] refactor graph caching ( #150 )
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* refactor graph caching
* fix mx test
* fix typo
2018-11-13 22:12:38 -05:00
40ca5de450
[API] Readout interfaces ( #124 )
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* fixing builtin src*edge shape mismatch
* bundled function refactor (?)
* fixing names
* readout prototype
* oops
* more fixes
* removing readout prototype
* sum_on() with SPMV, fixing batching with 0 edges
* readouts with segmented sum
* typo (??????)
* fixes NLTK dependency (#125 )
* misc fixes including #126 (pushing again)
* sanity check for mxnet
* fixes NLTK dependency (#125 ) and #126
* reverting to sum_nodes/edges
2018-11-10 11:35:34 -05:00
bd0e4fa0b3
[MXNet][API] move to the new API ( #123 )
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* move gat to the new api.
* fix gcn.
* update sse.
* fix dgl core.
* update sse.
* fix small bugs in dgl core.
* fix mxnet tests.
* retrigger
* address comments and fix more bugs.
* fix
* fix tests.
2018-11-08 10:00:47 -08:00
7241a9c008
[Backend] backend interface ( #109 )
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* backend interface
* small fix
* more comments to the data type dict
* WIP
* convert_to and narrow
* WIP
* pytorch and numpy backend; WIP on mxnet backend
* mxnet backend
* narrow
* Fix all usages
* fix for mx
* fix for mx
* fix mx
* fix mx
* fix mx
* fix mx
* fix mx
* fix mx
* fix mx
* revert jenkins
* add sparse_matrix api
* sparse matrix api
* some fixme
* Fix as requested
2018-11-04 21:42:39 -05:00
Quan (Andy) Gan