dmlc--dgl
653428bdc7
* [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
104 行
2.6 KiB
Python
104 行
2.6 KiB
Python
"""Module for variables."""
|
|
# pylint: disable=invalid-name
|
|
from __future__ import absolute_import
|
|
|
|
from .program import get_current_prog
|
|
|
|
class VarType(object):
|
|
"""Variable types."""
|
|
# Types for symbolic objects (i.e, they might not be
|
|
# concretized before evaluation.
|
|
FEAT = 0
|
|
FEAT_DICT = 1
|
|
# Types for concrete objects (i.e, they must have values).
|
|
GRAPH = 2
|
|
IDX = 3
|
|
STR = 4
|
|
FUNC = 5
|
|
MAP = 6
|
|
INT = 7
|
|
|
|
VAR_TYPE_NAME_MAP = [
|
|
'Feat',
|
|
'FeatDict',
|
|
'GRAPH',
|
|
'Idx',
|
|
'Str',
|
|
'Func',
|
|
'Map',
|
|
'Int',
|
|
]
|
|
|
|
class Var(object):
|
|
"""Class for variables in IR.
|
|
|
|
Variables represent data in the IR. A variable can contain concrete values.
|
|
Otherwise, it can act as a "symbol", whose values are not materialized at
|
|
the moment, but later.
|
|
|
|
Parameters
|
|
----------
|
|
name : str
|
|
The variable name.
|
|
type : int
|
|
The type code.
|
|
data : any, default=None (not concretized)
|
|
The data.
|
|
"""
|
|
__slots__ = ['name', 'typecode', 'data']
|
|
|
|
def __init__(self, name, typecode, data):
|
|
self.name = name
|
|
self.typecode = typecode
|
|
self.data = data
|
|
|
|
def __str__(self):
|
|
if self.typecode == VarType.STR:
|
|
return '"%s"' % self.data
|
|
else:
|
|
return self.name
|
|
|
|
def typestr(self):
|
|
"""Return the type string of this variable."""
|
|
return VAR_TYPE_NAME_MAP[self.typecode]
|
|
|
|
def new(typecode, data=None, name=None):
|
|
"""Create a new variable."""
|
|
if name is None:
|
|
cur_prog = get_current_prog()
|
|
name = '_z%d' % cur_prog.varcount
|
|
cur_prog.varcount += 1
|
|
return Var(name, typecode, data)
|
|
|
|
def FEAT(data=None, name=None):
|
|
"""Create a variable for feature tensor."""
|
|
return new(VarType.FEAT, data, name)
|
|
|
|
def FEAT_DICT(data=None, name=None):
|
|
"""Create a variable for feature dict."""
|
|
return new(VarType.FEAT_DICT, data, name)
|
|
|
|
def GRAPH(data=None, name=None):
|
|
"""Create a variable for graph index lambda."""
|
|
return new(VarType.GRAPH, data, name)
|
|
|
|
def IDX(data=None, name=None):
|
|
"""Create a variable for index."""
|
|
return new(VarType.IDX, data, name)
|
|
|
|
def STR(data=None, name=None):
|
|
"""Create a variable for string value."""
|
|
return new(VarType.STR, data, name)
|
|
|
|
def FUNC(data=None, name=None):
|
|
"""Create a variable for function."""
|
|
return new(VarType.FUNC, data, name)
|
|
|
|
def MAP(data=None, name=None):
|
|
"""Create a variable for mapping lambda"""
|
|
return new(VarType.MAP, data, name)
|
|
|
|
def INT(data=None, name=None):
|
|
"""Create a variable for int value"""
|
|
return new(VarType.INT, data, name)
|