67 lines
		
	
	
	
		
			3.4 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			67 lines
		
	
	
	
		
			3.4 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
#
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# Copyright 2016 The BigDL Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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#     http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from regex import match
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task_map = dict(
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    hellaswag="hellaswag",
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    arc="arc_challenge",
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    truthfulqa="truthfulqa_mc",
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    mmlu="hendrycksTest-abstract_algebra,hendrycksTest-anatomy,hendrycksTest-astronomy,hendrycksTest-business_ethics,hendrycksTest-clinical_knowledge,hendrycksTest-college_biology,hendrycksTest-college_chemistry,hendrycksTest-college_computer_science,hendrycksTest-college_mathematics,hendrycksTest-college_medicine,hendrycksTest-college_physics,hendrycksTest-computer_security,hendrycksTest-conceptual_physics,hendrycksTest-econometrics,hendrycksTest-electrical_engineering,hendrycksTest-elementary_mathematics,hendrycksTest-formal_logic,hendrycksTest-global_facts,hendrycksTest-high_school_biology,hendrycksTest-high_school_chemistry,hendrycksTest-high_school_computer_science,hendrycksTest-high_school_european_history,hendrycksTest-high_school_geography,hendrycksTest-high_school_government_and_politics,hendrycksTest-high_school_macroeconomics,hendrycksTest-high_school_mathematics,hendrycksTest-high_school_microeconomics,hendrycksTest-high_school_physics,hendrycksTest-high_school_psychology,hendrycksTest-high_school_statistics,hendrycksTest-high_school_us_history,hendrycksTest-high_school_world_history,hendrycksTest-human_aging,hendrycksTest-human_sexuality,hendrycksTest-international_law,hendrycksTest-jurisprudence,hendrycksTest-logical_fallacies,hendrycksTest-machine_learning,hendrycksTest-management,hendrycksTest-marketing,hendrycksTest-medical_genetics,hendrycksTest-miscellaneous,hendrycksTest-moral_disputes,hendrycksTest-moral_scenarios,hendrycksTest-nutrition,hendrycksTest-philosophy,hendrycksTest-prehistory,hendrycksTest-professional_accounting,hendrycksTest-professional_law,hendrycksTest-professional_medicine,hendrycksTest-professional_psychology,hendrycksTest-public_relations,hendrycksTest-security_studies,hendrycksTest-sociology,hendrycksTest-us_foreign_policy,hendrycksTest-virology,hendrycksTest-world_religions",
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    winogrande='winogrande',
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    gsm8k='gsm8k',
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    drop='drop'
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)
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task_to_n_few_shots = dict(
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    hellaswag=10,
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    arc=25,
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    truthfulqa=0,
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    mmlu=5,
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    winogrande=5,
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    gsm8k=5,
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    drop=3
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)
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task_to_metric = dict(
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    hellaswag='acc_norm',
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    arc='acc_norm',
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    truthfulqa='mc2',
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    mmlu='acc',
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    winogrande='acc',
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    gsm8k='acc',
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    drop='f1'
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)
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def parse_precision(precision, model="bigdl-llm"):
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    result = match(r"([a-zA-Z_]+)(\d+)([a-zA-Z_\d]*)", precision)
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    datatype = result.group(1)
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    bit = int(result.group(2))
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    if bit >= 16:
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        float_map = dict(
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            bf16="bfloat16",
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            fp16="float16",
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            fp32="float32"
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        )
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        return f"dtype={float_map[precision]}"
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    else:
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        if model == "hf-causal":
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            return f"bnb_type={precision}"
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        if model == "bigdl-llm":
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            return f"load_in_low_bit={precision}"
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    raise RuntimeError(f"invald precision {precision}")    
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