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Name
Complexity
Churn
Issues
A
examples\imagenet\configs\fake_data_benchmark.py
1 1 8
A
alpa\collective\collective_group\xla_nccl_util.py
2 1 -
B
examples\imagenet\configs\tpu.py
1 1 15
A
alpa\torch\optim\adam.py
1 1 -
A
examples\imagenet\configs\v100_x8.py
1 1 5
A
examples\imagenet\configs\v100_x8_mixed_precision.py
1 1 6
A
alpa\torch\tensor_utils.py
23 1 1
F
examples\imagenet\input_pipeline.py
13 1 80
A
examples\imagenet\main.py
2 1 11
F
alpa\model\unet_2d.py
90 1 55
A
alpa\torch\trainer.py
6 1 -
F
examples\imagenet\models.py
9 1 63
A
alpa\collective\const.py
3 1 1
A
examples\llm_serving\benchmark\benchmark_text_gen.py
 1 11
A
alpa\collective\types.py
5 1 -
A
examples\llm_serving\log_config.yaml
 1 -
A
alpa\parallel_plan.py
2 1 -
A
alpa\collective\util.py
9 1 -
A
benchmark\alpa\benchmark_one_case_unet.py
9 1 2
A
benchmark\alpa\benchmark_one_case_wresnet.py
13 1 4