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* init cuda support

* cuSPARSE err

* passed unittest for csr_mm/SpGEMM. int64 not supported

* Debugging cuSPARSE error 3

* csrgeam only supports int32?

* disabling int64 for cuda

* refactor and add CSRMask

* lint

* oops

* remove todo

* rewrite CSRMask with CSRGetData

* lint

* fix test

* address comments

* lint

* fix

* addresses comments and rename BUG_ON
Co-authored-by: Israt Nisa <nisisrat@amazon.com>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-30-71.ec2.internal>
Co-authored-by: Quan Gan <coin2028@hotmail.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* return mapping.

* support heterogeneous graph.

* more test.

* fix lint.

* fix for diff backends.

* fix.

* fix.
Co-authored-by: Zheng <dzzhen@3c22fba32af5.ant.amazon.com>
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>

* Start on uniform GPU sampling

* Save more work

* Get cu file compiling

* Update sampling

* More changes

* Get GPU sampling for uniform probabilities solved

* Fix batch tensor migration

* Fix

* update kernels

* expand blocking

* Undo testing change

* Cut down on sampling overhead

* Fix replacement

* Update unit tests

* Add option to gpu sample in graphsage

* Copy only csc to gpu

* Add ogbn support

* Fix linting

* Remove nvtx from sample

* Improve documentation and error checking

* Expand documentation

* Update assert checking

* delete extra space

* Use standard dataloader when dataset is a dictionary

* ogb -> ogbn

* Fix edge selection determinism

* Fix typos

* Remove nvtx

* Add comment for self.fanout_arrays and assert

* Fix linting

* Migrate to scalarbatcher

* Fix indentation

* Fix batcher

* Fix indexing

* Only use databatcher for GPU

* Convert to DGL NDArray to PyTorch Tensor

* Add optimization for PyTorch's F.tensor() for list of GPU tensors
Co-authored-by: Da Zheng <zhengda1936@gmail.com>

* upd

* fix

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* fix

* refactor

* upd test

* large feat_len or n in segment reduce

* lint

* Add start of to_block gpu implementation

* Pull in more changes from 0.4.2 cuda_to_block

* Move more code to IdArray

* Refactor DeviceNodeMapMaker

* Updates

* get compiling

* Integrate to_block

* Fix ID allocation

* Minor fixes

* Cleanup cuda calls to use cuda_common

* Reduce kernel calls

* Lint cleanup

* Expand documentation

* Remove unused function

* Rename variables for consistency

* Add doxygen comments

* Fix file extension

* Remove raw asynccopy for deviceapi

* Remove unused function

* Fix block/tile configuration

* Add cuda_device_common.cuh

* Add basic hashtable

* Migrate part of hashtable

* Refactor to use external hashtable

* Make functions members

* Format hash table functions

* Migrate duplicate filling

* Move last function over

* Refactor with cu file

* lint c++ code

* Move context check to C++ code

* Use macro switch

* Add missing files

* Update docstring

* update docs

* Move atomic functions

* Refactor hashtable

* Fix linting

* Expand docs

* Fix mismatched argument names

* Switch doxygen comments from using @param to \param
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* upd

* trigger

* upd

* upd

* upd

* upd

* upd

* fix

* upd

* upd
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* first commit

* more commit

* fix and docstring

* add to api reference

* address comments

* Update convert.py

* added option for batching empty data, fixes #2526

* added option for batching empty data, fixes #2526

* decreased line lengths

* removed trailing whitespace

* fixed wrong feature name

* [Bugfix] stop erasing schema of frames w/ no cols (fixes #2528)

* removed arg doc
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* added option for batching empty data, fixes #2526

* added option for batching empty data, fixes #2526

* decreased line lengths

* removed trailing whitespace

* fixed wrong feature name

* now default behavior when all graphs are empty
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* fix

* fix test

* Update

* Update

* Update
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* wip

* udp

* upd

* fix typo

* lint

* lint

* upd

* upd

* lint

* lint

* upd

* upd

* tftest

* fix

* fallback numpy

* fix tf

* docstring
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* WIP

* finish lowmem impl; benchmarking

* wip

* wip

* fix benchmarks

* fix bug in searchsorted

* update readme

* update

* lint and ogb dependency

* add flags to to_homogeneous

* fix docstring

* address comments

* delete shared memory when receive signal.

* rename.

* fix lint.

* fix lint.

* fix compile.

* Fix.

* we need to report error if the shared memory exist.

* disable tensorflow test for shared memory.

* revert.
Co-authored-by: Ubuntu <ubuntu@ip-172-31-2-202.us-west-1.compute.internal>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* upd

* upd

* update

* upd

* upd

* upd

* fix

* lint

* lint

* pylint

* doc

* Disable copying for anywhere but the GPU

* Remove unused import and remove references to transferring from the GPU from the docs

* Skip gpu test in cpu mode
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* PPIDataset

* Revert "PPIDataset"

This reverts commit 264bd0c960cfa698a7bb946dad132bf52c2d0c8a.

* check whether the original labels are valid

* add unit test for gin dataset

* bug of asscalar in mxnet<=1.6

* mxnet<=1.6 asscalar requires ndarray to be shaped (1,)

* skip gpu while testing datasets

* Update test_data.py

* test of gin dataset takes too much time

* Add async transferer class

* Add async ndarray copy interface

* Add python bindings

* Fix comment

* Add python class

* Fix linting issues

* Add python unit test

* Update python interface

* move async_transferer to cuda only directory

* Fix linting issue

* Move out of contrib

* Add doc strings

* Move test compute from backend

* Update comment

* Fix test naming

* Fix argument usage

* Wrap/unwrap backend parameters

* Move to dataloading

* Move to 'dataloading'

* Make GPU/CPU compatible

* Fix unit tests

* Add docs

* Use only backend interface for datamovement in unit test

* udp

* add test

* udp

* fix mxnet

[HeteroGraph] Fix the failure of apply_nodes when the input function changes feature size for all nodes (#2223)

* Fix

* Fix

* fix cumsum

* udp
Co-authored-by: Zihao <expye@outlook.com>

* fix degree bucket edge ordering

* unit test

* fix

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* fix

* upd

* upd

* upd

* upd

* fix

* upd
Co-authored-by: VoVAllen <jz1749@nyu.edu>

* fix flatten not wrapping unit graph

* fix doc

This reverts commit 33a8bb93

.
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* bug fixes

* remove __deepcopy__; not sure what the behavior should be

* lint

* skip gpu test

* fix

* fix dist dataloader

* add comment

* remove assert

* workaround

* Allow Test for Traversal on GPU Graphs
Co-authored-by: Ubuntu <ubuntu@ip-172-31-1-5.us-west-2.compute.internal>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* upd

* upd

* add feature utils and add test for feature norm

* Add docstring and test

* upd

* dis able some test

* Update

* update doc string

* update
Co-authored-by: Ubuntu <ubuntu@ip-172-31-68-185.ec2.internal>

* [Bug] add_edges() crashes if the input tensor is empty

* lint

* fix

* Update frame.py

* add unit test

* fix test

* fix

* fix

* fix
Co-authored-by: Quan Gan <coin2028@hotmail.com>

* Fix

* Fix
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>

* Update adj

* Fix

* Update test_randomwalk.py

* Update test_randomwalk.py

* [Bugfix] Fix batching isolated ntypes

* fix test

* remove test.py
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* Update graph

* Fix for dgl.graph

* from_scipy

* Replace canonical_etypes with relations

* from_networkx

* Update for hetero_from_relations

* Roll back the change of canonical_etypes to relations

* heterograph

* bipartite

* Update doc

* Fix lint

* Fix lint

* Fix test cases

* Fix

* Fix

* Fix

* Fix

* Fix

* Fix

* Update

* Fix test

* Fix

* Update

* Use DGLError

* Update

* Update

* Update

* Update

* Fix

* Fix

* Fix

* Fix

* Fix

* Fix

* Fix

* Fix

* Update

* Fix

* Update

* Fix

* Fix

* Fix

* Update

* Fix

* Update

* Fix

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Fix

* Fix

* Update

* Update

* Update

* Update

* Update

* Update

* rewrite sanity checks

* delete unnecessary checks

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Fix

* Update

* Update

* Update

* Fix

* Fix

* Fix

* Update

* Fix

* Update

* Fix

* Fix

* Update

* Fix

* Update

* Fix
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
Co-authored-by: Quan Gan <coin2028@hotmail.com>