mirror of
https://github.com/hpcaitech/ColossalAI.git
synced 2025-08-08 03:24:07 +00:00
da4f7b855f
* style: rename replay buffer Experience replay is typically for off policy algorithms. Use this name in PPO maybe misleading. * fix: fix wrong zero2 default arg * test: update experience tests * style: rename zero_pad fn * fix: defer init in CycledDataLoader * test: add benchmark test * style: rename internal fn of generation * style: rename internal fn of lora * fix: remove unused loss fn * fix: remove unused utils fn * refactor: remove generate_with_actor fn * fix: fix type annotation * test: add models tests * fix: skip llama due to long execution time * style: modify dataset * style: apply formatter * perf: update reward dataset * fix: fix wrong IGNORE_INDEX in sft dataset * fix: remove DataCollatorForSupervisedDataset * test: add dataset tests * style: apply formatter * style: rename test_ci to test_train * feat: add llama in inference * test: add inference tests * test: change test scripts directory * fix: update ci * fix: fix typo * fix: skip llama due to oom * fix: fix file mod * style: apply formatter * refactor: remove duplicated llama_gptq * style: apply formatter * to: update rm test * feat: add tokenizer arg * feat: add download model script * test: update train tests * fix: modify gemini load and save pretrained * test: update checkpoint io test * to: modify nproc_per_node * fix: do not remove existing dir * fix: modify save path * test: add random choice * fix: fix sft path * fix: enlarge nproc_per_node to avoid oom * fix: add num_retry * fix: make lora config of rm and critic consistent * fix: add warning about lora weights * fix: skip some gpt2 tests * fix: remove grad ckpt in rm and critic due to errors * refactor: directly use Actor in train_sft * test: add more arguments * fix: disable grad ckpt when using lora * fix: fix save_pretrained and related tests * test: enable zero2 tests * revert: remove useless fn * style: polish code * test: modify test args
27 lines
1017 B
Python
27 lines
1017 B
Python
from json import JSONDecodeError
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from locust import HttpUser, task
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samples = [[
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dict(
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instruction='Who is the best player in the history of NBA?',
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response='The best player in the history of the NBA is widely considered to be Michael Jordan. He is one of the most successful players in the league, having won 6 NBA championships with the Chicago Bulls and 5 more with the Washington Wizards. He is a 5-time MVP, 1'
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),
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dict(instruction='continue this talk', response=''),
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], [
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dict(instruction='Who is the best player in the history of NBA?', response=''),
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]]
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class GenerationUser(HttpUser):
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@task
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def generate(self):
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for sample in samples:
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data = {'max_new_tokens': 64, 'history': sample}
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with self.client.post('/generate', json=data, catch_response=True) as response:
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if response.status_code in (200, 406):
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response.success()
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else:
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response.failure('Response wrong')
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