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Fix IPEX auto importer (#11192)

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* Fix ipex auto importer with Python builtins.
* Raise errors if the user imports ipex manually before importing ipex_llm. Do nothing if they import ipex after importing ipex_llm.
* Remove import ipex in examples.
This commit is contained in:
Qiyuan Gong 2024-06-04 16:57:18 +08:00 committed by GitHub
parent 711fa0199e
commit ce3f08b25a
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GPG key ID: B5690EEEBB952194
19 changed files with 29 additions and 28 deletions
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1
python/llm/example/CPU/Applications/streaming-llm/streaming_llm/utils.py
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@ -51,7 +51,6 @@ import json
# code change to import from IPEX-LLM API instead of using transformers API
from ipex_llm.transformers import AutoModelForCausalLM
from transformers import LlamaTokenizer
import intel_extension_for_pytorch as ipex
def load(model_name_or_path):

1
python/llm/example/CPU/Deepspeed-AutoTP/deepspeed_autotp.py
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@ -47,7 +47,6 @@ from transformers import AutoModelForCausalLM, LlamaTokenizer, AutoTokenizer
import deepspeed
from ipex_llm import optimize_model
import torch
import intel_extension_for_pytorch as ipex
import time
import argparse

3
python/llm/example/GPU/HF-Transformers-AutoModels/Model/codeshell/server.py
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@ -274,9 +274,6 @@ if __name__ == "__main__":
multi_turn = args.multi_turn
max_context = args.max_context
if device == 'xpu':
import intel_extension_for_pytorch as ipex
model = model.to(device)
model.generation_config = GenerationConfig.from_pretrained(

1
python/llm/example/GPU/HF-Transformers-AutoModels/Model/internlm2/generate.py
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@ -20,7 +20,6 @@ import argparse
from transformers import AutoTokenizer
from ipex_llm import optimize_model
import intel_extension_for_pytorch as ipex
# you could tune the prompt based on your own model,
# here the prompt tuning refers to https://huggingface.co/internlm/internlm-chat-7b/blob/main/modeling_internlm.py#L1053

1
python/llm/example/GPU/HF-Transformers-AutoModels/Model/phixtral/generate.py
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@ -20,7 +20,6 @@ import argparse
import numpy as np
from transformers import AutoTokenizer, GenerationConfig
import intel_extension_for_pytorch as ipex
# you could tune the prompt based on your own model,

1
python/llm/example/GPU/HF-Transformers-AutoModels/Model/qwen1.5/generate.py
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@ -20,7 +20,6 @@ import argparse
from transformers import AutoTokenizer
from ipex_llm import optimize_model
import intel_extension_for_pytorch as ipex
import numpy as np

1
python/llm/example/GPU/HF-Transformers-AutoModels/Model/solar/generate.py
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@ -15,7 +15,6 @@
#
import torch
import intel_extension_for_pytorch as ipex
import time
import argparse

1
python/llm/example/GPU/HF-Transformers-AutoModels/Model/yuan2/generate.py
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@ -16,7 +16,6 @@
import torch, transformers
import sys, os, time
import intel_extension_for_pytorch as ipex
import argparse
from transformers import LlamaTokenizer
from ipex_llm.transformers import AutoModelForCausalLM

1
python/llm/example/GPU/Pipeline-Parallel-FastAPI/pipeline_models.py
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@ -1,7 +1,6 @@
from torch import nn
import torch
import torch.distributed as dist
import intel_extension_for_pytorch as ipex
from typing import List, Optional, Tuple, Union, Iterator
import time

1
python/llm/example/GPU/Pipeline-Parallel-FastAPI/pipeline_serving.py
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@ -2,7 +2,6 @@ from pipeline_models import ModelRunner
import torch.nn.parallel
import torch.distributed as dist
import os
import intel_extension_for_pytorch as ipex
import oneccl_bindings_for_pytorch

1
python/llm/example/GPU/Pipeline-Parallel-Inference/generate.py
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@ -16,7 +16,6 @@
#
import torch
import intel_extension_for_pytorch as ipex
import time
import argparse

1
python/llm/example/GPU/PyTorch-Models/Model/internlm2/generate.py
View file

@ -20,7 +20,6 @@ import argparse
from transformers import AutoTokenizer
from ipex_llm import optimize_model
import intel_extension_for_pytorch as ipex
# you could tune the prompt based on your own model,
# here the prompt tuning refers to https://huggingface.co/internlm/internlm-chat-7b/blob/main/modeling_internlm.py#L1053

1
python/llm/example/GPU/PyTorch-Models/Model/mamba/generate.py
View file

@ -17,7 +17,6 @@
import argparse
import time
import torch
import intel_extension_for_pytorch as ipex
from ipex_llm import optimize_model
from transformers import AutoTokenizer

1
python/llm/example/GPU/PyTorch-Models/Model/phixtral/generate.py
View file

@ -20,7 +20,6 @@ import argparse
import numpy as np
from transformers import AutoTokenizer, GenerationConfig
import intel_extension_for_pytorch as ipex
from ipex_llm import optimize_model

1
python/llm/example/GPU/PyTorch-Models/Model/qwen1.5/generate.py
View file

@ -20,7 +20,6 @@ import argparse
from transformers import AutoTokenizer
from ipex_llm import optimize_model
import intel_extension_for_pytorch as ipex
import numpy as np

1
python/llm/example/GPU/PyTorch-Models/Model/solar/generate.py
View file

@ -15,7 +15,6 @@
#
import torch
import intel_extension_for_pytorch as ipex
import time
import argparse

1
python/llm/example/GPU/PyTorch-Models/Model/yuan2/generate.py
View file

@ -16,7 +16,6 @@
import torch, transformers
import sys, os, time
import intel_extension_for_pytorch as ipex
import argparse
from transformers import LlamaTokenizer, AutoModelForCausalLM
from ipex_llm import optimize_model

1
python/llm/example/GPU/Speculative-Decoding/EAGLE/evaluation/gen_ea_answer_llama2chat.py
View file

@ -47,7 +47,6 @@ from eagle.model.ea_model import EaModel
from eagle.model.utils import *
from eagle.model.kv_cache import initialize_past_key_values
from eagle.model.choices import *
import intel_extension_for_pytorch as ipex
from ipex_llm import optimize_model
def ea_forward(input_ids, model, tokenizer, tree_choices, logits_processor=None, max_steps=512):

35
python/llm/src/ipex_llm/utils/ipex_importer.py
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@ -16,6 +16,9 @@
from importlib.metadata import distribution, PackageNotFoundError
import logging
import builtins
import sys
from ipex_llm.utils.common import log4Error
class IPEXImporter:
@ -51,15 +54,36 @@ class IPEXImporter:
def import_ipex(self):
"""
Try to import Intel Extension for PyTorch as ipex
Try to import Intel Extension for PyTorch as ipex for XPU
Raises ImportError if failed
Raises ImportError and invalidInputError if failed
"""
if self.is_xpu_version_installed():
import intel_extension_for_pytorch as ipex
# Check if user import ipex manually
if 'ipex' in sys.modules or 'intel_extension_for_pytorch' in sys.modules:
logging.error("ipex_llm will automatically import intel_extension_for_pytorch.")
log4Error.invalidInputError(False,
"Please import ipex_llm before importing \
intel_extension_for_pytorch!")
self.directly_import_ipex()
self.ipex_version = ipex.__version__
logging.info("intel_extension_for_pytorch auto imported")
def directly_import_ipex(self):
"""
Try to import Intel Extension for PyTorch as ipex
Raises ImportError and invalidInputError if failed
"""
# import ipex
import intel_extension_for_pytorch as ipex
if ipex is not None:
# Expose ipex to Python builtins
builtins.ipex = ipex
else:
log4Error.invalidInputError(False,
"Can not import intel_extension_for_pytorch.")
def get_ipex_version(self):
"""
Get ipex version
@ -69,11 +93,8 @@ class IPEXImporter:
if self.ipex_version is not None:
return self.ipex_version
# try to import Intel Extension for PyTorch and get version
try:
import intel_extension_for_pytorch as ipex
self.directly_import_ipex()
self.ipex_version = ipex.__version__
except ImportError:
self.ipex_version = None
return self.ipex_version