GitLab

* [ist] enable time out when fetching msg

* fix lint error

* minor refinements

* improve minor log

* fix dist test

* fix timeout issue in tensorpipe

* [DistTest] add python test of RPC

* remove return

* [DistTest] add basic pipeline for dist test across machines

* move launch remote cmd to separate file

* add test for rpc

* fix function naming rule
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* * Added specialization of cublasGemm function for `__half` type, to try to address https://github.com/dmlc/dgl/issues/3988



* * Added USE_FP16 guard

* * Added test cases to test_segment_mm, to test newly-added FP16 specialization of cublasGemm

* * Replaced for loop in test_segment_mm with pytest.mark.parametrize, as recommended
Co-authored-by: Xin Yao <xiny@nvidia.com>

* Update

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* Fix

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* Fix

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* Fix

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* update

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* Fix

* Fix

* Update

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* lr_scheduler

* Update

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* Fix

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* CI

* Update

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

* enhance EGATConv| nfeats as tuples

* egatconv modified for bipartite graphs

* modified docstrings

* added/modified unittests for EGATConv

* Update egatconv.py

* rectified lint errors
Co-authored-by: rijulizer <riju.mukherjee@gmail.com>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* Fix bugs & Update dataset

* Update

* Update wikics.py

* Update wikics.py

* Update test_data.py

* Update wikics.py

* Update wikics.py

* Update wikics.py

* update

* Update module.py

* Update dgl.data.rst

* Update wikics.py

* Update wikics.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* Update

* CI

* Update

* Update

* Fix

* Fix

This reverts commit fdd1fe19.

* Enable FP16 for GPU builds in CI

* Limit default GPU archs to pascal and above

* Disable FP16 dispatching for cuda architectures less than 60

* Fix linting

* Fix typos

* cython nogil

* move APIs to internal and add unit test

* fix lint

* disable callback array test

* Update module.py

* Update utils.py

* Update utils.py

* Update utils.py

* Update module.py

* Update

* Update

* Update

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

* add label propagation module

* fix prev bug in example

* add dgn

* fix linting and doc issues

* update label propagation & dgn

* update label propagation & dgn

* update example

* fix unit test

* fix agg heritage issue

* fix agg issue

* fix lint

* fix idx

* fix lp gpu issue

* Update

* Update
Co-authored-by: mufeili <mufeili1996@gmail.com>

* [Dist][BugFix] enable sampling on bipartite

* add comments for tests

* * Added half_(), float_(), and double_() functions to DGLHeteroGraph, HeteroNodeDataView, and HeteroEdgeDataView, for converting floating-point tensor data to float16, float32, or float64 precision

* * Extracted out private functions for floating-point type conversion, to reduce code duplication

* * Added test for floating-point data conversion functions, half_(), float_(), and double_()

* * Moved half_(), float_(), and double_() functions from HeteroNodeDataView and HeteroEdgeDataView to Frame class

* * Updated test_float_cast() to use dgl.heterograph instead of dgl.graph

* Added to CONTRIBUTORS.md

* * Changed data type conversion to be deferred until the data is accessed, to avoid redundant conversions of data that isn't used.

* * Addressed issues flagged by linter

* * Worked around a bug in the old version of mxnet that's currently used for DGL testing

* * Only defer Column data type conversion if there is a pending device transfer or index sampling to be done.  This is expected to be the desired behaviour based on discussions of a few use cases, as described in the comments.

* * Moved floating-point feature data conversion functions to dgl.transforms.functional
* Changed them from in-place behaviour to shallow copy (out-of-place) behaviour

* * Fixed linter issues

* * Removed lines that unintentionally added to_half, to_float, and to_double to DGLHeteroGraph
* Moved _init_api line to the end of the file again

* * Removed one of the two leading underscores from Frame.__astype_float, making it not fully private
Co-authored-by: nv-dlasalle <63612878+nv-dlasalle@users.noreply.github.com>

Prevent users from attempting to pin PyTorch non-contiguous tensors or views only encompassing part of tensor. (#3992)

* Disable pinning non-contiguous memory

* Prevent views from being converted for write

* Fix linting

* Add unit tests

* Improve error message for users

* Switch to pytest function

* exclude mxnet and tensorflow from inplace pinning

* Add skip

* Restrict to pytorch backend

* Use backend to retrieve device

* Fix capitalization in decorator
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* Explicitly unpin tensoradapter allocated arrays

* Undo unrelated change

* Add unit test

* update unit test

* Update

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* Fix

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* remove unnecessary induced vertices in EdgeSubgraph

* add unit test

Based on the pull request: https://github.com/dmlc/dgl/pull/3983

* [Dist] Enable maximum try times for socket backend via DGL_DIST_MAX_TRY_TIMES

* reset env before/after test

* print log for info when trying to connect

* fix

* print log in python instead of cpp

* [Model]P-GNN

* updata

* [Example]P-GNN

* Update README.md

* Add NodeFeatureMasking and NormalizeFeatures

* Update

* Update transforms.rst

* Update

* Update

* Update

* Update test_transform.py

* Update

* Update

* Update test_transform.py

* Update module.py

* Update module.py

* Update module.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* Update

* Update

* Fix

* Update

* CI

* Update

* Update

* Update

* Update

* Update

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* Update

* Update

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* Update

* [BugFix] fix job status in master CI

* finalize

* PR3355 + CSR conversion workaround

* Remove debug code

* Fix convention errors

* Remove wrongly added code section during merge

* Update to reflect dataloading changes

* Fix missing changes

* Remove comment

* Fix linter errors

* Fix trailing whitespace

* Add wrapper around worker init function
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* [Feature] enable socket net_type for rpc

* fix lint

* fix lint

* fix build issue on windows

* fix test failure on windows

* fix test failure

* fix cpp unit test failure

* net_type blocking max_try_times

* fix other comments

* fix lint

* fix comment

* fix lint

* fix cpp

* Update

* Update

* Update

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

Signed-off-by: Serge Panev <spanev@nvidia.com>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

refactor CI report and log

* enable UVA sampling with CPU indices

* add docs

* add more docs

* lint

* fix

* fix

* better error message

* use mp.Barrier instead of queues

* revert

* revert

* oops

* revert dgl.multiprocessing.spawn

* Update pytorch.py

* cleaned pl node classification example

* conform to PL's method of updating the dataloader

* update

* lint

* fix test

* fix

* Add failing unit test

* Fix negative sampler edge types

* fix test

* oops

* revert
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
Co-authored-by: Quan Gan <coin2028@hotmail.com>

* enable uva for pinsage sampler

* unit test

* modify some checks on the python side

* remove legacy random walk code

* update unit test

* update unit test

* fix unit test

* adjust checks

* move some checks to c++

* move max_nodes check to cuda kernel

* fix ci for tf
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Co-authored-by: nv-dlasalle <63612878+nv-dlasalle@users.noreply.github.com>