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7becdc4f84
* new data pipiline * new data pipiline * shades and topic --------- Co-authored-by: yanmuyuan <2216646664@qq.com>
61 lines
2.1 KiB
Python
61 lines
2.1 KiB
Python
from enum import Enum
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from typing import List
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class ProcessStep(Enum):
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"""Training process steps"""
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LIST_DOCUMENTS = "list_documents"
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GENERATE_DOCUMENT_EMBEDDINGS = "generate_document_embeddings"
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CHUNK_DOCUMENT = "process_chunks"
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CHUNK_EMBEDDING = "chunk_embedding"
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EXTRACT_DIMENSIONAL_TOPICS = "extract_dimensional_topics"
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GENERATE_SHADES = "generate_shades"
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GENERATE_BIOGRAPHY = "generate_biography"
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MODEL_DOWNLOAD = "model_download"
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GENERATE_BASE = "generate_base"
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BIO_QA_GENERATION = "bio_qa_generation"
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WIKI_DATA_GENERATION = "wiki_data_generation"
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GENERATE_MEMQA_ENTITY = "generate_memqa_entity"
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GENERATE_MEMQA_RELATION = "generate_memqa_relation"
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GENERATE_MEMQA_DESCRIPTION = "generate_memqa_description"
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GENERATE_MEMQA_DIVERSITY = "generate_memqa_diversity"
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SYNTHETIC_DATA_GENERATION = "synthetic_data_generation"
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SYNTHETIC_NO_NOTES_DATA_GENERATION = "synthetic_no_notes_data_generation"
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CONVERT_DATA = "convert_data"
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TRAIN = "train"
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MERGE_WEIGHTS = "merge_weights"
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CONVERT_MODEL = "convert_model"
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@classmethod
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def get_ordered_steps(cls) -> List["ProcessStep"]:
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"""Get ordered steps"""
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return [
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cls.MODEL_DOWNLOAD,
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cls.LIST_DOCUMENTS,
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cls.GENERATE_DOCUMENT_EMBEDDINGS,
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cls.CHUNK_DOCUMENT,
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cls.CHUNK_EMBEDDING,
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cls.EXTRACT_DIMENSIONAL_TOPICS,
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cls.GENERATE_SHADES,
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cls.GENERATE_BIOGRAPHY,
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cls.GENERATE_BASE,
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cls.BIO_QA_GENERATION,
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cls.WIKI_DATA_GENERATION,
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cls.GENERATE_MEMQA_ENTITY,
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cls.GENERATE_MEMQA_RELATION,
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cls.GENERATE_MEMQA_DESCRIPTION,
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cls.GENERATE_MEMQA_DIVERSITY,
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cls.SYNTHETIC_DATA_GENERATION,
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cls.SYNTHETIC_NO_NOTES_DATA_GENERATION,
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cls.CONVERT_DATA,
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cls.TRAIN,
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cls.MERGE_WEIGHTS,
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cls.CONVERT_MODEL,
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]
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def get_method_name(self) -> str:
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"""Get the corresponding method name for this step"""
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return self.value
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