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[Bug] Fix-NPU-Support (#1618)

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* bugfix NPU support

* formatting

---------

Co-authored-by: noemotiovon <noemotiovon@gmail.com>
This commit is contained in:
Chenguang Li 2024-10-21 17:42:53 +08:00 committed by GitHub
parent 500b44ba2d
commit 5868d5afa4
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2 changed files with 11 additions and 1 deletions
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9
opencompass/datasets/truthfulqa.py
View File

@ -2,6 +2,7 @@ import evaluate
import numpy as np import numpy as np
import torch import torch
from datasets import load_dataset from datasets import load_dataset
from mmengine.device import is_npu_available
from transformers import AutoModelForCausalLM, AutoTokenizer from transformers import AutoModelForCausalLM, AutoTokenizer
from opencompass.openicl.icl_evaluator import BaseEvaluator from opencompass.openicl.icl_evaluator import BaseEvaluator
@ -9,7 +10,13 @@ from opencompass.registry import ICL_EVALUATORS, LOAD_DATASET
from .base import BaseDataset from .base import BaseDataset
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') if is_npu_available():
backend = 'npu'
elif torch.cuda.is_available():
backend = 'cuda'
else:
backend = 'cpu'
device = torch.device(backend)
@LOAD_DATASET.register_module() @LOAD_DATASET.register_module()

3
opencompass/models/huggingface_above_v4_33.py
View File

@ -3,6 +3,7 @@
from typing import Dict, List, Optional, Union from typing import Dict, List, Optional, Union
import torch import torch
from mmengine.device import is_npu_available
from opencompass.models.base import BaseModel, LMTemplateParser from opencompass.models.base import BaseModel, LMTemplateParser
from opencompass.models.base_api import APITemplateParser from opencompass.models.base_api import APITemplateParser
@ -224,6 +225,8 @@ class HuggingFacewithChatTemplate(BaseModel):
model_kwargs.update(kwargs) model_kwargs.update(kwargs)
model_kwargs = _set_model_kwargs_torch_dtype(model_kwargs) model_kwargs = _set_model_kwargs_torch_dtype(model_kwargs)
self.logger.debug(f'using model_kwargs: {model_kwargs}') self.logger.debug(f'using model_kwargs: {model_kwargs}')
if is_npu_available():
model_kwargs['device_map'] = 'npu'
try: try:
self.model = AutoModelForCausalLM.from_pretrained(path, **model_kwargs) self.model = AutoModelForCausalLM.from_pretrained(path, **model_kwargs)