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alpa
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A
benchmark\alpa\gen_prof_database.py
 1 8
A
playground\auto_sharding_solver\run_all.sh
 1 1
A
.github\workflows\build_jaxlib.yml
 1 -
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examples\llm_serving\service\constants.py
 3 1
A
docker\scripts\test_alpa_docker_entrypoint.sh
 3 -
A
examples\llm_serving\test_completions.py
 3 -
A
examples\slurm_script_examples\test_prerequisites.sh
 1 -
A
tests\runtime\test_install.py
 1 1
A
examples\opt_finetune\run_125m_shard.sh
 1 -
A
examples\imagenet\configs\fake_data_benchmark.py
1 1 8
A
alpa\torch\optim\adam.py
1 1 -
A
examples\imagenet\configs\v100_x8.py
1 1 5
B
examples\imagenet\configs\tpu.py
1 1 15
A
examples\imagenet\configs\v100_x8_mixed_precision.py
1 1 6
B
examples\imagenet\configs\default.py
1 1 15
A
docs\publish.py
1 1 4
A
playground\other\test_torch_trace.py
1 1 7
A
playground\jax_basic\test_flop_count.py
1 1 4
A
playground\auto_sharding_solver\test_cost.py
1 1 3
A
examples\mnist\configs\default.py
1 1 7