* Allow reading and writing single-column vector Parquet files.
These files are commonly produced by Spark ML's feature processing code.
* [Dist] Only write single-column vector files for Parquet in tests.
* [Dist] Add support for Parquet-formatted edges files, remove some assumptions on edge file number.
* [Dist] Add parquet edges option to unit tests.
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>
* [Dist] enable to chunk node/edge data into arbitrary number of chunks
* [Dist] enable to split node/edge data into arbitrary parts
* refine code
* Format boolean to uint8 forcely to avoid dist.scatter failure
* convert boolean to int8 before scatter and revert it after scatter
* refine code
* fix test
* refine code
* move test utilities into utils.py
* update comment
* fix empty data
* update
* update
* fix empty data issue
* release unnecessary mem
* release unnecessary mem
* release unnecessary mem
* release unnecessary mem
* release unnecessary mem
* remove unnecessary shuffle data
* separate array_split into standalone utility
* add example
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>
* Flexible pipeline - Initial commit
1. Implementation of flexible pipeline feature.
2. With this implementation, the pipeline now supports multiple partitions per process. And also assumes that num_partitions is always a multiple of num_processes.
* Update test_dist_part.py
* Code changes to address review comments
* Code refactoring of exchange_features function into two functions for better readability
* Upadting test_dist_part to fix merge issues with the master branch
* corrected variable names...
* Fixed code refactoring issues.
* Provide missing function arguments to exchange_feature function
* Providing the missing function argument to fix error.
* Provide missing function argument to 'get_shuffle_nids' function.
* Repositioned a variable within its scope.
* Removed tab space which is causing the indentation problem
* Fix issue with the CI test framework, which is the root cause for the failure of the CI tests.
1. Now we read files specific to the partition-id and store this data separately, identified by the local_part_id, in the local process.
2. Similarly as above, we also differentiate the node and edge features type_ids with the same keys as above.
3. These above two changes will help up to get the appropriate feature data during the feature exchange and send to the destination process correctly.
* Correct the parametrization for the CI unit test cases.
* Addressing Rui's code review comments.
* Addressing code review comments.
* Send out the message to the distributed lookup service in batches.
* Update function signature for allgather_sizes function call.
* Removed the unnecessary if statement .
* Removed logging.info message, which is not needed.
* [Dist] deprecate etype and always use canonical etype for partition and load
* enable canonical etypes in dist part pipeline
* resolve rebase conflicts
* fix lint
* fix test failure
* throw exception if outdated part config is loaded
* refine
* refine
* revert unnecessary change
* fix typo
* [Dist] Reduce peak memory in DistDGL: avoid validation, release memory once loaded
* remove orig_id from ndata/edata for partition_graph()
* delete orig_id from ndata/edata in dist part pipeline
* reduce dtype size and format before saving graphs
* fix lint
* ETYPE requires to be int32/64 for CSRSortByTag
* fix test failure
* refine
* Creating ParMETIS wrapper script to run parmetis using one script from user perspective
* Addressed all the CI comments from PR https://github.com/dmlc/dgl/pull/4529
* Addressing CI comments.
* Isort, and black changes.
* Replaced python with python3
* Replaced single quote with double quotes per suggestion.
* Removed print statement
* Addressing CI Commets.
* Addressing CI review comments.
* Addressing CI comments as per chime discussion with Rui
* CI Comments, Black and isort changes
* Align with code refactoring, black, isort and code review comments.
* Addressing CI review comments, and fixing merge issues with the master branch
* Updated with proper unit test skip decorator
* Added support for edge features.
* Added comments and removing unnecessary print statements.
* updated data_shuffle.py to remove compile error.
* Repaled python3 with python to match CI test framework.
* Removed unrelated files from the pull request.
* Isort changes.
* black changes on this file.
* Addressing CI review comments.
* Addressing CI comments.
* Removed duplicated and resolved merge conflict code.
* Addressing CI Comments from Rui.
* Addressing CI comments, and fixing merge issues.
* Addressing CI comments, code refactoring, isort and black
* [Dist] enable to partition many chunks into less partitions via pipeline
* refine
* add meta file for num_parts, add more tests, refine docstring
* remove args.num_parts
* create pydantic class for partition metadata
* refine
* rename json file
* [DistPart] expose timeout config for process group
* refine code
* Update tools/distpartitioning/data_proc_pipeline.py
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
* Distributed Lookup service which is for retrieving global_nids to shuffle-global-nids/partition-id mappings
1. Implemented a class to provide distributed lookup service
2. This class can be used to retrieve global-nids mappings
* Code changes to address CI comments.
1. Removed some unneeded type_casts to numpy.int64
2. Added additional comments when iterating over the partition-ids list.
3.Added docstring to the class and adjusted comments where it is relevant.
* Updated code comments and variable names...
1. Changed the variable names to appropriately represent the values stored in these variables.
2. Updated the docstring correctly.
* Corrected docstring as per the suggestion... and removed all the capital letters for Global nids and Shuffle Global nids...
* Addressing CI review comments.
* code changes for bug fixes identified during mag_lsc dataset (#4187)
* code changes for bug fixes identified during mag_lsc dataset
1. Changed from call torch.Tensor() to torch.from_numpy() to address memory corruption issues when creating large tensors. Tricky thing is this works correctly for small tensors.
2. Changed dgl.graph() function call to include 'num_nodes" argument to specifically mention all the nodes in a graph partition.
* Update convert_partition.py
Moving the changes to the function "create_metadata_json" function to the "multiple-file-format" support, where this change is more appropriate. Since multiple machine testing was done with these code changes.
* Addressing review comments.
Removed space as suggested at the end of the line
* Revert "Revert "[Distributed Training Pipeline] Initial implementation of Distributed data processing step in the Dis… (#3926)" (#4037)"
This reverts commit 7c598aac6c.
* Added code to support multiple-file-support feature and removed singl… (#4188)
* Added code to support multiple-file-support feature and removed single-file-support code
1. Added code to read dataset in multiple-file-format
2. Removed code for single-file format
* added files missing in the previous commit
This commit includes dataset_utils.py, which reads the dataset in multiple-file-format, gloo_wrapper function calls to support exchanging dictionaries as objects and helper functions in utils.py
* Update convert_partition.py
Updated function call "create_metadata_json" file to include partition_id so that each rank only creates its own metadata object and later on these are accumulated on rank-0 to create graph-level metadata json file.
* addressing code review comments during the CI process
code changes resulting from the code review comments received during the CI process.
* Code reorganization
Addressing CI comments and code reorganization for easier understanding.
* Removed commented out line
removed commented out line.
* Support new format for multi-file support in distributed partitioning. (#4217)
* Code changes for the following
1. Generating node data at each process
2. Reading csv files using pyarrow
3. feature complete code.
* Removed some typo's because of which unit tests were failing
1. Change the file name to correct file name when loading edges from file
2. When storing node-features after shuffling, use the correct key to store the global-nids of node features which are received after transmitted.
* Code changes to address CI comments by reviewers
1. Removed some redundant code and added text in the doc-strings to describe the functionality of some functions.
2 function signatures and invocations now match w.r.t argument list
3. Added detailed description of the metadata json structure so that the users understand the the type of information present in this file and how it is used through out the code.
* Addressing code review comments
1. Addressed all the CI comments and some of the changes include simplifying the code related to the concatenation of lists and enhancing the docstrings of functions which are changed in this process.
* Update docstring's of two functions appropriately in response to code review comments
Removed "todo" from the docstring of the gen_nodedata function.
Added "todo" to the gen_dist_partitions function when node-id to partition-id's are read for the first time.
Removed 'num-node-weights' from the docstring for the get_dataset function and added schema_map docstring to the argument list.
* [Distributed] Change for the new input format for distributed partitioning (#4273)
* Code changes to address the updated file format support for massively large graphs.
1. Updated the docstring for the starting function 'gen_dist_partitions" to describe the newly proposed file format for input dataset.
2. Code which was dependent on the structure of the old-metadata json object has been updated to read from the newly proposed metadata file.
3. Fixed some errors when appropriate functions were invoked and the calling function expects return values from the invoked furnction.
4. This modified code has been tested on "mag" dataset using 4-way partitions and verified the results
* Code changes to address the CI review comments
1. Improved docstrings for some functions.
2. Added a new function in the utils.py to compute the id ranges and this is used in multiple places.
* Added TODO to indicate the redundant data structure.
Because of the new file format changes, one of the dictionaries (node_feature_tids, node_tids) will be redundant. Added TODO text so that this will be removed in the next iteration of code changes.
* [Distributed] use alltoall fix to bypass gloo - alltoallv bug in distributed partitioning (#4311)
* Alltoall Fix to bypass gloo - alltoallv bug which is preventing further testing
1. Replaced alltoallv gloo wrapper call with alltoall message.
2. All the messages are padded to be of same length
3. Receiving side unpads the messages and continues processing.
* Code changes to address CI comments
1. Removed unused functions from gloo_wrapper.py
2. Changed the function signature of alltoallv_cpu_data as suggested.
3. Added docstring to include more description of the functionality inside alltoallv_cpu_data. Included more asserts to validate the assumptions.
* Changed the function name appropriately
Changed the function name from "alltoallv_cpu_data" to alltoallv_cpu which I believe is appropriate because underlying functionality is providing alltoallv which is basically alltoall_cpu + padding
* Added code and text to address the review comments.
1. Changed the function name to indicate the local use of this function.
2. Changed docstring to indicate the assumptions made by alltoallv_cpu function.
* Removed unused function from import statement
Removed unused/removed function from import statement.
* [Distributed] reduce memory consumption in distributed graph partitioning. (#4338)
* Fix for node_subgraph function, which seems to generate segmentation fault for very large partitions
1. Removed three graph dgl objects and we create the final dgl object directly by maintaining the following constraints
a) nodes are reordered so that local nodes are placed in the beginning of the nodes list compared to non-local nodes.
b)Edges order are maintained as passed into this function.
c) src/dst end points are mapped to target values based on the reshuffle'd nodes order.
* Code changes addressing CI comments for this PR
1. Used Da's suggested map to map nodes from old to new order.
This is much simpler and mem. efficient.
* Addressing CI Comments.
1. Reduced the amount of documentation to reflect the actual implementation.
2. named the mapping object appropriately.
* [Distributed] Graph chunking UX (#4365)
* first commit
* update
* huh
* fix
* update
* revert core
* fix
* update
* rewrite
* oops
* address comments
* add graph name
* address comments
* remove sample metadata file
* address comments
* fix
* remove
* add docs
* Adding launch script and wrapper script to trigger distributed graph … (#4276)
* Adding launch script and wrapper script to trigger distributed graph partitioning pipeline as defined in the UX document
1. dispatch_data.py is a wrapper script which builds the command and triggers the distributed partitioning pipeline
2. distgraphlaunch.py is the main python script which triggers the pipeline and to simplify its usage dispatch_data.py is included as a wrapper script around it.
* Added code to auto-detect python version and retrieve some parameters from the input metadata json file
1. Auto detect python version
2. Read the metadata json file and extract some parameters to pass to the user defined command which is used to trigger the pipeline.
* Updated the json file name to metadata.json file per UX documentation
1. Renamed json file name per UX documentation.
* address comments
* fix
* fix doc
* use unbuffered logging to cure anxiety
* cure more anxiety
* Update tools/dispatch_data.py
Co-authored-by: Minjie Wang <minjie.wang@nyu.edu>
* oops
Co-authored-by: Quan Gan <coin2028@hotmail.com>
Co-authored-by: Minjie Wang <minjie.wang@nyu.edu>
Co-authored-by: kylasa <kylasa@gmail.com>
Co-authored-by: Da Zheng <zhengda1936@gmail.com>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
* Adding launch script and wrapper script to trigger distributed graph partitioning pipeline as defined in the UX document
1. dispatch_data.py is a wrapper script which builds the command and triggers the distributed partitioning pipeline
2. distgraphlaunch.py is the main python script which triggers the pipeline and to simplify its usage dispatch_data.py is included as a wrapper script around it.
* Added code to auto-detect python version and retrieve some parameters from the input metadata json file
1. Auto detect python version
2. Read the metadata json file and extract some parameters to pass to the user defined command which is used to trigger the pipeline.
* Updated the json file name to metadata.json file per UX documentation
1. Renamed json file name per UX documentation.
* address comments
* fix
* fix doc
* use unbuffered logging to cure anxiety
* cure more anxiety
* Update tools/dispatch_data.py
Co-authored-by: Minjie Wang <minjie.wang@nyu.edu>
* oops
Co-authored-by: Quan Gan <coin2028@hotmail.com>
Co-authored-by: Minjie Wang <minjie.wang@nyu.edu>
* Fix for node_subgraph function, which seems to generate segmentation fault for very large partitions
1. Removed three graph dgl objects and we create the final dgl object directly by maintaining the following constraints
a) nodes are reordered so that local nodes are placed in the beginning of the nodes list compared to non-local nodes.
b)Edges order are maintained as passed into this function.
c) src/dst end points are mapped to target values based on the reshuffle'd nodes order.
* Code changes addressing CI comments for this PR
1. Used Da's suggested map to map nodes from old to new order.
This is much simpler and mem. efficient.
* Addressing CI Comments.
1. Reduced the amount of documentation to reflect the actual implementation.
2. named the mapping object appropriately.
* Alltoall Fix to bypass gloo - alltoallv bug which is preventing further testing
1. Replaced alltoallv gloo wrapper call with alltoall message.
2. All the messages are padded to be of same length
3. Receiving side unpads the messages and continues processing.
* Code changes to address CI comments
1. Removed unused functions from gloo_wrapper.py
2. Changed the function signature of alltoallv_cpu_data as suggested.
3. Added docstring to include more description of the functionality inside alltoallv_cpu_data. Included more asserts to validate the assumptions.
* Changed the function name appropriately
Changed the function name from "alltoallv_cpu_data" to alltoallv_cpu which I believe is appropriate because underlying functionality is providing alltoallv which is basically alltoall_cpu + padding
* Added code and text to address the review comments.
1. Changed the function name to indicate the local use of this function.
2. Changed docstring to indicate the assumptions made by alltoallv_cpu function.
* Removed unused function from import statement
Removed unused/removed function from import statement.
* Code changes to address the updated file format support for massively large graphs.
1. Updated the docstring for the starting function 'gen_dist_partitions" to describe the newly proposed file format for input dataset.
2. Code which was dependent on the structure of the old-metadata json object has been updated to read from the newly proposed metadata file.
3. Fixed some errors when appropriate functions were invoked and the calling function expects return values from the invoked furnction.
4. This modified code has been tested on "mag" dataset using 4-way partitions and verified the results
* Code changes to address the CI review comments
1. Improved docstrings for some functions.
2. Added a new function in the utils.py to compute the id ranges and this is used in multiple places.
* Added TODO to indicate the redundant data structure.
Because of the new file format changes, one of the dictionaries (node_feature_tids, node_tids) will be redundant. Added TODO text so that this will be removed in the next iteration of code changes.
* Code changes for the following
1. Generating node data at each process
2. Reading csv files using pyarrow
3. feature complete code.
* Removed some typo's because of which unit tests were failing
1. Change the file name to correct file name when loading edges from file
2. When storing node-features after shuffling, use the correct key to store the global-nids of node features which are received after transmitted.
* Code changes to address CI comments by reviewers
1. Removed some redundant code and added text in the doc-strings to describe the functionality of some functions.
2 function signatures and invocations now match w.r.t argument list
3. Added detailed description of the metadata json structure so that the users understand the the type of information present in this file and how it is used through out the code.
* Addressing code review comments
1. Addressed all the CI comments and some of the changes include simplifying the code related to the concatenation of lists and enhancing the docstrings of functions which are changed in this process.
* Update docstring's of two functions appropriately in response to code review comments
Removed "todo" from the docstring of the gen_nodedata function.
Added "todo" to the gen_dist_partitions function when node-id to partition-id's are read for the first time.
Removed 'num-node-weights' from the docstring for the get_dataset function and added schema_map docstring to the argument list.
* Added code to support multiple-file-support feature and removed single-file-support code
1. Added code to read dataset in multiple-file-format
2. Removed code for single-file format
* added files missing in the previous commit
This commit includes dataset_utils.py, which reads the dataset in multiple-file-format, gloo_wrapper function calls to support exchanging dictionaries as objects and helper functions in utils.py
* Update convert_partition.py
Updated function call "create_metadata_json" file to include partition_id so that each rank only creates its own metadata object and later on these are accumulated on rank-0 to create graph-level metadata json file.
* addressing code review comments during the CI process
code changes resulting from the code review comments received during the CI process.
* Code reorganization
Addressing CI comments and code reorganization for easier understanding.
* Removed commented out line
removed commented out line.
* code changes for bug fixes identified during mag_lsc dataset
1. Changed from call torch.Tensor() to torch.from_numpy() to address memory corruption issues when creating large tensors. Tricky thing is this works correctly for small tensors.
2. Changed dgl.graph() function call to include 'num_nodes" argument to specifically mention all the nodes in a graph partition.
* Update convert_partition.py
Moving the changes to the function "create_metadata_json" function to the "multiple-file-format" support, where this change is more appropriate. Since multiple machine testing was done with these code changes.
* Addressing review comments.
Removed space as suggested at the end of the line
Theodore Vasiloudis