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mmcdermott
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nested_ragged_tensors
Utilities for efficiently working with, saving, and loading, collections of connected nested ragged tensors in PyTorch
MIT License
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Schema may be setting keys with dimensional signfiers...
#44
mmcdermott
opened
10 hours ago
0
github sigstore workflow is failing
#43
mmcdermott
opened
1 week ago
0
Errors likely exist when sentinel key names are used as input raw tensor names
#42
mmcdermott
opened
1 week ago
0
Hotfix 0.0.8 release for flatten at dim=1
#41
mmcdermott
closed
1 week ago
2
Fixes flatten on dim=1
#40
mmcdermott
closed
1 week ago
1
`flatten` does not work with `target_dim=1`
#39
mmcdermott
closed
1 week ago
1
Sampling error in NRT
#38
payalchandak
closed
10 hours ago
2
Documentation needs to be updated
#37
mmcdermott
opened
1 week ago
0
_:hammer_and_wrench: Refactor suggestion_
#36
mmcdermott
opened
1 week ago
0
Release Candidate
#35
mmcdermott
closed
1 week ago
2
You should be able to easily extract from a tensor a contiguous slice of nested values, even when that slice does not correspond to a meaningful dense slice.
#34
Oufattole
opened
2 weeks ago
4
Updated benchmark to have a better way to subselect sequences.
#33
mmcdermott
closed
1 month ago
2
Making tensors from file paths or dictionaries share file paths for ease of development.
#32
mmcdermott
closed
1 week ago
3
Benchmarking does not appear to be posting comments on commits in the correct manner
#31
mmcdermott
closed
1 week ago
0
Made splitting only happen at densification.
#30
mmcdermott
closed
1 month ago
4
Major revisions to the utility and generality of the benchmarking code.
#29
mmcdermott
closed
1 month ago
2
Once separate methods are made into independent profiling benchmarks, set up GH actions to run them only when their code or the installed packages change versions.
#28
mmcdermott
opened
1 month ago
0
Ensuring benchmark has full coverage of capabilities and usage modes of NRT.
#27
mmcdermott
closed
1 week ago
0
Establishing separate, run-once code for other methods to compare.
#26
mmcdermott
opened
1 month ago
0
Running the benchmark via GH Actions on new PRs to main.
#25
mmcdermott
closed
1 month ago
0
Incorporating memory tracking into the benchmark code.
#24
mmcdermott
closed
1 month ago
0
Converting the `performance_tests` code to a benchmark that can be run just on the NRT codebase with a static sample dataset.
#23
mmcdermott
closed
1 month ago
0
Profiling should be expanded and tracked regularly.
#22
mmcdermott
opened
1 month ago
0
Tensors should not be split into lists of lists until densification.
#21
mmcdermott
closed
1 month ago
1
The interface should be streamlined so that tensors can either be directly realized in memory or stored on disk and the object can still do the same things.
#20
mmcdermott
closed
1 week ago
0
The speed profiling code should be run and tracked in some way on pull requests via GH workflows.
#19
mmcdermott
closed
1 month ago
1
Added a more graceful failure mode for the empty tensors case.
#18
mmcdermott
closed
1 month ago
2
Adding test cases and fixes for dim-0 or size-0 tensors.
#17
mmcdermott
closed
1 month ago
2
Updated pyproject toml for dynamic versioning and added python build workflows.
#16
mmcdermott
closed
1 month ago
2
Build setup should be finalized with more recent improvements.
#15
mmcdermott
closed
1 month ago
0
Add check when out_tensors[bounds_key] is empty
#14
juancq
closed
1 month ago
4
IndexError when out_tensors[bounds_key] is empty
#13
juancq
closed
1 month ago
0
If a set of tensors is empty, the pipeline should either do something more intelligent (such as drop that tensor) or error gracefully.
#12
mmcdermott
closed
1 month ago
0
This, I think, correctly flattens the last dim during load, but needs more testing and error control
#11
mmcdermott
closed
4 weeks ago
3
debugging flattening the last dimensions
#10
Oufattole
closed
2 months ago
1
`load_slice` should be able to sub-splice more than just through the zeroth dimension.
#9
mmcdermott
closed
1 week ago
0
`load` and `load_slice` should have options to flatten the data in the last level without padding during loading.
#8
mmcdermott
closed
1 week ago
4
Updated tests
#7
mmcdermott
closed
4 months ago
2
Update profiling to include `load_slice` usage.
#6
mmcdermott
closed
1 week ago
0
Add test coverage checking
#5
mmcdermott
closed
5 months ago
1
Add readthedocs
#4
mmcdermott
opened
5 months ago
0
Unstack dim1 too
#3
mmcdermott
closed
9 months ago
0
Simplify the code to only what is absolutely required (joint collections of nested ragged tensors) and further optimize
#2
mmcdermott
closed
10 months ago
0
Numpy support
#1
mmcdermott
closed
10 months ago
0