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ColossalAI
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Complexity
Churn
Issues
A
colossalai\auto_parallel\tensor_shard\node_handler\embedding_handler.py
13 3 -
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colossalai\legacy\inference\tensor_parallel\policies\bloom.py
6 1 -
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applications\ColossalChat\examples\training_scripts\train_rm.sh
 3 -
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colossalai\legacy\inference\tensor_parallel\policies\llama.py
8 1 1
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colossalai\auto_parallel\tensor_shard\node_handler\getitem_handler.py
3 3 -
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colossalai\legacy\moe\layer\__init__.py
 1 -
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.github\workflows\release_nightly_on_schedule.yml
 5 -
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colossalai\legacy\moe\layer\layers.py
35 2 -
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colossalai\auto_parallel\tensor_shard\node_handler\linear_handler.py
18 12 -
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colossalai\legacy\moe\load_balance.py
59 1 -
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applications\ColossalChat\examples\training_scripts\train_sft.sh
 6 2
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colossalai\fx\profiler\experimental\profiler_function\python_ops.py
2 3 -
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applications\ColossalQA\colossalqa\local\colossalcloud_llm.py
15 4 -
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colossalai\fx\profiler\experimental\profiler_function\torch_ops.py
4 2 -
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colossalai\fx\profiler\experimental\profiler_module\__init__.py
 1 -
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applications\Colossal-LLaMA\train.py
55 4 3
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applications\ColossalChat\coati\ray\callbacks\performance_evaluator.py
34 1 -
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applications\ColossalQA\colossalqa\local\llm.py
38 5 -
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colossalai\fx\profiler\experimental\profiler_module\activation_function.py
1 2 -
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colossalai\fx\profiler\experimental\profiler_module\attention.py
5 2 -