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275 lines
12 KiB
275 lines
12 KiB
import importlib
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from dataclasses import dataclass
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import torch.nn as nn
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from .base_policy import Policy
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__all__ = ["PolicyLocation", "get_autopolicy", "import_policy"]
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@dataclass
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class PolicyLocation:
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"""
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PolicyLocation describes the location of a policy class.
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Args:
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file_name (str): The file name of the policy under colossalai.shardformer.policies
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class_name (str): The class name of the policy class
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"""
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file_name: str
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class_name: str
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# we don't want to import all policies here
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# as each policy file imports its own model zoo library
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# we will allow the user to only import the policy file needed
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_POLICY_LIST = {
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# BERT
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"transformers.models.bert.modeling_bert.BertModel": PolicyLocation(file_name="bert", class_name="BertModelPolicy"),
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"transformers.models.bert.modeling_bert.BertForPreTraining": PolicyLocation(
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file_name="bert", class_name="BertForPreTrainingPolicy"
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),
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"transformers.models.bert.modeling_bert.BertLMHeadModel": PolicyLocation(
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file_name="bert", class_name="BertLMHeadModelPolicy"
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),
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"transformers.models.bert.modeling_bert.BertForMaskedLM": PolicyLocation(
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file_name="bert", class_name="BertForMaskedLMPolicy"
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),
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"transformers.models.bert.modeling_bert.BertForSequenceClassification": PolicyLocation(
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file_name="bert", class_name="BertForSequenceClassificationPolicy"
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),
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"transformers.models.bert.modeling_bert.BertForTokenClassification": PolicyLocation(
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file_name="bert", class_name="BertForTokenClassificationPolicy"
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),
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"transformers.models.bert.modeling_bert.BertForNextSentencePrediction": PolicyLocation(
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file_name="bert", class_name="BertForNextSentencePredictionPolicy"
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),
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"transformers.models.bert.modeling_bert.BertForMultipleChoice": PolicyLocation(
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file_name="bert", class_name="BertForMultipleChoicePolicy"
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),
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"transformers.models.bert.modeling_bert.BertForQuestionAnswering": PolicyLocation(
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file_name="bert", class_name="BertForQuestionAnsweringPolicy"
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),
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# LLaMA
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"transformers.models.llama.modeling_llama.LlamaModel": PolicyLocation(
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file_name="llama", class_name="LlamaModelPolicy"
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),
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"transformers.models.llama.modeling_llama.LlamaForCausalLM": PolicyLocation(
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file_name="llama", class_name="LlamaForCausalLMPolicy"
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),
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"transformers.models.llama.modeling_llama.LlamaForSequenceClassification": PolicyLocation(
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file_name="llama", class_name="LlamaForSequenceClassificationPolicy"
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),
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# T5
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"transformers.models.t5.modeling_t5.T5Model": PolicyLocation(file_name="t5", class_name="T5ModelPolicy"),
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"transformers.models.t5.modeling_t5.T5ForConditionalGeneration": PolicyLocation(
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file_name="t5", class_name="T5ForConditionalGenerationPolicy"
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),
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"transformers.models.t5.modeling_t5.T5EncoderModel": PolicyLocation(file_name="t5", class_name="T5EncoderPolicy"),
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"transformers.models.t5.modeling_t5.T5ForTokenClassification": PolicyLocation(
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file_name="t5", class_name="T5ForTokenClassificationPolicy"
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),
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# GPT2
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"transformers.models.gpt2.modeling_gpt2.GPT2Model": PolicyLocation(file_name="gpt2", class_name="GPT2ModelPolicy"),
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"transformers.models.gpt2.modeling_gpt2.GPT2LMHeadModel": PolicyLocation(
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file_name="gpt2", class_name="GPT2LMHeadModelPolicy"
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),
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"transformers.models.gpt2.modeling_gpt2.GPT2DoubleHeadsModel": PolicyLocation(
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file_name="gpt2", class_name="GPT2DoubleHeadsModelPolicy"
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),
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"transformers.models.gpt2.modeling_gpt2.GPT2ForQuestionAnswering": PolicyLocation(
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file_name="gpt2", class_name="GPT2ForQuestionAnsweringPolicy"
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),
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"transformers.models.gpt2.modeling_gpt2.GPT2ForTokenClassification": PolicyLocation(
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file_name="gpt2", class_name="GPT2ForTokenClassificationPolicy"
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),
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"transformers.models.gpt2.modeling_gpt2.GPT2ForSequenceClassification": PolicyLocation(
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file_name="gpt2", class_name="GPT2ForSequenceClassificationPolicy"
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),
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# GPTJ
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"transformers.models.gptj.modeling_gptj.GPTJModel": PolicyLocation(file_name="gptj", class_name="GPTJModelPolicy"),
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"transformers.models.gptj.modeling_gptj.GPTJForCausalLM": PolicyLocation(
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file_name="gptj", class_name="GPTJForCausalLMPolicy"
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),
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"transformers.models.gptj.modeling_gptj.GPTJForQuestionAnswering": PolicyLocation(
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file_name="gptj", class_name="GPTJForQuestionAnsweringPolicy"
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),
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"transformers.models.gptj.modeling_gptj.GPTJForSequenceClassification": PolicyLocation(
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file_name="gptj", class_name="GPTJForSequenceClassificationPolicy"
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),
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# ViT
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"transformers.models.vit.modeling_vit.ViTModel": PolicyLocation(file_name="vit", class_name="ViTModelPolicy"),
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"transformers.models.vit.modeling_vit.ViTForImageClassification": PolicyLocation(
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file_name="vit", class_name="ViTForImageClassificationPolicy"
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),
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"transformers.models.vit.modeling_vit.ViTForMaskedImageModeling": PolicyLocation(
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file_name="vit", class_name="ViTForMaskedImageModelingPolicy"
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),
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# OPT
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"transformers.models.opt.modeling_opt.OPTModel": PolicyLocation(file_name="opt", class_name="OPTModelPolicy"),
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"transformers.models.opt.modeling_opt.OPTForCausalLM": PolicyLocation(
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file_name="opt", class_name="OPTForCausalLMPolicy"
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),
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"transformers.models.opt.modeling_opt.OPTForSequenceClassification": PolicyLocation(
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file_name="opt", class_name="OPTForSequenceClassificationPolicy"
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),
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"transformers.models.opt.modeling_opt.OPTForQuestionAnswering": PolicyLocation(
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file_name="opt", class_name="OPTForQuestionAnsweringPolicy"
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),
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# Bloom
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"transformers.models.bloom.modeling_bloom.BloomModel": PolicyLocation(
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file_name="bloom", class_name="BloomModelPolicy"
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),
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"transformers.models.bloom.modeling_bloom.BloomForCausalLM": PolicyLocation(
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file_name="bloom", class_name="BloomForCausalLMPolicy"
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),
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"transformers.models.bloom.modeling_bloom.BloomForSequenceClassification": PolicyLocation(
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file_name="bloom", class_name="BloomForSequenceClassificationPolicy"
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),
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"transformers.models.bloom.modeling_bloom.BloomForTokenClassification": PolicyLocation(
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file_name="bloom", class_name="BloomForTokenClassificationPolicy"
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),
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"transformers.models.bloom.modeling_bloom.BloomForQuestionAnswering": PolicyLocation(
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file_name="bloom", class_name="BloomForQuestionAnsweringPolicy"
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),
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# Whisper
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"transformers.models.whisper.modeling_whisper.WhisperModel": PolicyLocation(
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file_name="whisper", class_name="WhisperModelPolicy"
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),
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"transformers.models.whisper.modeling_whisper.WhisperForConditionalGeneration": PolicyLocation(
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file_name="whisper", class_name="WhisperForConditionalGenerationPolicy"
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),
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"transformers.models.whisper.modeling_whisper.WhisperForAudioClassification": PolicyLocation(
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file_name="whisper", class_name="WhisperForAudioClassificationPolicy"
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),
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# Sam
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"transformers.models.sam.modeling_sam.SamModel": PolicyLocation(file_name="sam", class_name="SamModelPolicy"),
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# Blip2
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"transformers.models.blip_2.modeling_blip_2.Blip2Model": PolicyLocation(
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file_name="blip2", class_name="Blip2ModelPolicy"
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),
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"transformers.models.blip_2.modeling_blip_2.Blip2ForConditionalGeneration": PolicyLocation(
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file_name="blip2", class_name="Blip2ForConditionalGenerationPolicy"
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),
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# ChatGLM
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"transformers_modules.modeling_chatglm.ChatGLMModel": PolicyLocation(
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file_name="chatglm2", class_name="ChatGLMModelPolicy"
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),
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"transformers_modules.modeling_chatglm.ChatGLMForConditionalGeneration": PolicyLocation(
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file_name="chatglm2", class_name="ChatGLMForConditionalGenerationPolicy"
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),
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# Deepseek
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"transformers_modules.modeling_deepseek.DeepseekModel": PolicyLocation(
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file_name="deepseek", class_name="DeepseekModelPolicy"
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),
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"transformers_modules.modeling_deepseek.DeepseekForCausalLM": PolicyLocation(
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file_name="deepseek", class_name="DeepseekForCausalLMPolicy"
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),
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# Falcon
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"transformers.models.falcon.modeling_falcon.FalconModel": PolicyLocation(
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file_name="falcon", class_name="FalconModelPolicy"
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),
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"transformers.models.falcon.modeling_falcon.FalconForCausalLM": PolicyLocation(
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file_name="falcon", class_name="FalconForCausalLMPolicy"
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),
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"transformers.models.falcon.modeling_falcon.FalconForSequenceClassification": PolicyLocation(
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file_name="falcon", class_name="FalconForSequenceClassificationPolicy"
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),
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"transformers.models.falcon.modeling_falcon.FalconForTokenClassification": PolicyLocation(
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file_name="falcon", class_name="FalconForTokenClassificationPolicy"
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),
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"transformers.models.falcon.modeling_falcon.FalconForQuestionAnswering": PolicyLocation(
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file_name="falcon", class_name="FalconForQuestionAnsweringPolicy"
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),
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# mistral
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"transformers.models.mistral.modeling_mistral.MistralModel": PolicyLocation(
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file_name="mistral", class_name="MistralModelPolicy"
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),
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"transformers.models.mistral.modeling_mistral.MistralForCausalLM": PolicyLocation(
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file_name="mistral", class_name="MistralForCausalLMPolicy"
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),
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"transformers.models.mistral.modeling_mistral.MistralForSequenceClassification": PolicyLocation(
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file_name="mistral", class_name="MistralForSequenceClassificationPolicy"
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),
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# mixtral
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"transformers.models.mixtral.modeling_mixtral.MixtralModel": PolicyLocation(
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file_name="mixtral", class_name="MixtralModelPolicy"
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),
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"transformers.models.mixtral.modeling_mixtral.MixtralForCausalLM": PolicyLocation(
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file_name="mixtral", class_name="MixtralForCausalLMPolicy"
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),
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"transformers.models.mixtral.modeling_mixtral.MixtralForSequenceClassification": PolicyLocation(
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file_name="mixtral", class_name="MixtralForSequenceClassificationPolicy"
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),
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# Qwen2
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"transformers.models.qwen2.modeling_qwen2.Qwen2Model": PolicyLocation(
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file_name="qwen2", class_name="Qwen2ModelPolicy"
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),
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"transformers.models.qwen2.modeling_qwen2.Qwen2ForCausalLM": PolicyLocation(
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file_name="qwen2", class_name="Qwen2ForCausalLMPolicy"
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),
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"transformers.models.qwen2.modeling_qwen2.Qwen2ForSequenceClassification": PolicyLocation(
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file_name="qwen2", class_name="Qwen2ForSequenceClassificationPolicy"
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),
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# command
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"transformers.models.cohere.modeling_cohere.CohereModel": PolicyLocation(
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file_name="command", class_name="CommandModelPolicy"
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),
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"transformers.models.cohere.modeling_cohere.CohereForCausalLM": PolicyLocation(
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file_name="command", class_name="CommandForCausalLMPolicy"
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),
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}
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def import_policy(policy_location: PolicyLocation) -> Policy:
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"""
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Dynamically import a Policy class based on the policy location.
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"""
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module_name = f"colossalai.shardformer.policies.{policy_location.file_name}"
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module = importlib.import_module(module_name)
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return getattr(module, policy_location.class_name)
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def _fullname(obj):
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"""
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Return the full name of an object, including the module name.
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"""
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klass = obj.__class__
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module = klass.__module__
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if module == "builtins":
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return klass.__qualname__ # avoid outputs like 'builtins.str'
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# patch custom models which are not in transformers
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# it can be like 'transformers_modules.THUDM.chatglm3-6b.103caa40027ebfd8450289ca2f278eac4ff26405.modeling_chatglm' (from huggingface hub)
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# or like 'transformers_modules.chatglm.modeling_chatglm' (from local directory)
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if module.startswith("peft"):
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klass = obj.base_model.model.__class__
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module = klass.__module__
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if module.startswith("transformers_modules"):
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split_module = module.split(".")
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if len(split_module) >= 2:
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module = f"{split_module[0]}.{split_module[-1]}"
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return module + "." + klass.__qualname__
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def get_autopolicy(model: nn.Module) -> Policy:
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r"""
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Return the auto policy for the model
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Args:
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model (:class:`nn.Module`): The model to get the auto policy
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Return:
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:class:`Policy`: The auto policy for the model
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"""
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full_name = _fullname(model)
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policy_location = _POLICY_LIST.get(full_name, None)
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if policy_location is None:
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raise NotImplementedError(
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f"Auto policy for {model.__class__.__qualname__} ({full_name}) is not implemented\n. Supported models are {list(_POLICY_LIST.keys())}"
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)
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else:
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policy = import_policy(policy_location)
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return policy()
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