GitLab

* Use an internal cuda stream for CopyDataFromTo

* small fix white space

* Fix to compile

* Make stream optional in copydata for compile

* fix lint issue

* Update cub functions to use internal stream

* Lint check

* Update CopyTo/CopyFrom/CopyFromTo to use internal stream

* Address comments

* Fix backward CUDA stream

* Avoid overloading CopyFromTo()

* Minor comment update

* Overload copydatafromto in cuda device api
Co-authored-by: xiny <xiny@nvidia.com>

* * Added missing specializations for `__half` of `DLDataTypeTraits`, `IndexSelect`, `Full`, `Scatter_`, `CSRGetData`, `CSRMM`, `CSRSum`, `IndexSelectCPUFromGPU`
* Fixed casting issue in `_LinearSearchKernel` that was preventing it from supporting `__half`
* Added `#if`'d out specializations of `CSRGEMM`, `CSRGEAM`, and `Xgeam`, which would require functions that aren't currently provided by cublas

* * Added more specific error messages for unimplemented FP16 specializations of Xgeam, CSRGEMM, and CSRGEAM

* * Added missing instantiation of DLDataTypeTraits<__half>::dtype

* * Fixed linter error
* Added clearer comment explaining why the cast to long long is necessary

* * Worked around a compile error in some particular setup, where __half can't be constructed on the host side

* * Fixed linter formatting errors

* * Changes to comments as recommended

* * Made recommended changes to logging errors in FP16 specializations
* Also changed the existing Xgeam function for unsupported data types from LOG(INFO) to LOG(FATAL)

* fixes

* fix

* more fixes

* update

* oops

* lint?

* temporarily revert - will fix in another PR

* more fixes

* skipping mxnet test

* address comments

* fix DDP

* fix edge dataloader exclusion problems

* stupid bug

* fix

* use_uvm option

* fix

* fixes

* fixes

* fixes

* fixes

* add evaluation for cluster gcn and ddp

* stupid bug again

* fixes

* move sanity checks to only support DGLGraphs

* pytorch lightning compatibility fixes

* remove

* poke

* more fixes

* fix

* fix

* disable test

* docstrings

* why is it getting a memory leak?

* fix

* update

* updates and temporarily disable forkingpickler

* update

* fix?

* fix?

* oops

* oops

* fix

* lint

* huh

* uh

* update

* fix

* made it memory efficient

* refine exclude interface

* fix tutorial

* fix tutorial

* fix graph duplication in CPU dataloader workers

* lint

* lint

* Revert "lint"

This reverts commit 805484dd553695111b5fb37f2125214a6b7276e9.

* Revert "lint"

This reverts commit 0bce411b2b415c2ab770343949404498436dc8b2.

* Revert "fix graph duplication in CPU dataloader workers"

This reverts commit 9e3a8cf34c175d3093c773f6bb023b155f2bd27f.
Co-authored-by: xiny <xiny@nvidia.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* implement pin_memory/unpin_memory/is_pinned for dgl.graph

* update python docstring

* update c++ docstring

* add test

* fix the broken UnifiedTensor

* XPU_SWITCH for kDLCPUPinned

* a rough version ready for testing

* eliminate extra context parameter for pin/unpin

* update train_sampling

* fix linting

* fix typo

* multi-gpu uva sampling case

* disable new format materialization for pinned graphs

* update python doc for pin_memory_

* fix unit test

* UVA sampling for link prediction

* dispatch most csr ops

* update graphsage example to combine uva sampling and UnifiedTensor

* update graphsage example to combine uva sampling and UnifiedTensor

* update graphsage example to combine uva sampling and UnifiedTensor

* update doc

* update examples

* change unitgraph and heterograph's PinMemory to in-place

* update examples for multi-gpu uva sampling

* update doc

* fix linting

* fix cpu build

* fix is_pinned for DistGraph

* fix is_pinned for DistGraph

* update graphsage unsupervised example

* update doc for gpu sampling

* update some check for sampling device switching

* fix linting

* adapt for new dataloader

* fix linting

* fix

* fix some name issue

* adjust device check

* add unit test for uva sampling & fix some zero_copy bug

* fix linting

* update num_threads in graphsage examples
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* Add pytorch-direct version

* remove

* add documentation for UnifiedTensor

* Revert "add documentation for UnifiedTensor"

This reverts commit 63ba42644d4aba197c1cb4ea4b85fa1bc43b8849.

* add boundary check for UVM IndexSelect

* relocate boundary check index kernels to cuda

* fix function name

* fix indexkernel in nccl api

* fix argument ordering

* simplify code

* Add a comment for the uvm version
Co-authored-by: shhssdm <shhssdm@gmail.com>
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

[Feature][Performance] Implement NCCL wrapper for communicating NodeEmbeddings and sparse gradients. (#2825)

* Split NCCL wrapper from sparse optimizer and sparse embedding

* Add more unit tests for single node nccl

* Fix unit test for tf

* Switch to device histogram

* Fix histgram issues

* Finish migration to histogram

* Handle cases with zero send/recieve data

* Start on partition object

* Get compiling

* Updates

* Add unit tests

* Switch to partition object

* Fix linting issues

* Rename partition file

* Add python doc

* Fix python assert and finish doxygen comments

* Remove stubs for range based partition to satisfy pylint

* Wrap unit test in GPU only

* Wrap explicit cuda call in ifdef

* Merge with partition.py

* update docstrings

* Cleanup partition_op

* Add Workspace object

* Switch to using workspace object

* Move last remainder based function out of nccl_api

* Add error messages

* Update docs with examples

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

* upd

* upd

* upd

* upd

* lint

* upd

* upd

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

* add cub; array cumsum

* CSRSliceRows

* fix warning

* operator << for ndarray; CSRSliceRows

* add CSRIsSorted

* add csr_sort

* inplace coosort and outplace csrsort

* WIP: coo is sorted

* mv cuda_utils

* add AllTrue utility

* csr sort

* coo sort

* coo2csr for sorted coo arrays

* CSRToCOO from sorted

* pass tests for the new kernel changes

* cannot use inplace sort

* lint

* try fix msvc error

* Fix g.copy_to and g.asnumbits; ToBlock no longer uses CSC

* stash

* revert some hack

* revert some changes

* address comments

* fix

* fix to_block unittest

* add todo note

* add cuda utils; change g.to; add g.device

* split array.h into several headers

* cuda index select

* file

* three cuda kernels

* add cuda elementwise arith and several others

* cuda CSRIsNonZero

* fix lint

* lint

* lint

* fix bug in changing ctx to property

* address comments

* remove unused codes

* address comments