Trying to test the Intel extension for PyTorch in my project, but it reported errors:
Traceback (most recent call last):
File "reviewjpgs_optimaztion_testing.py", line 27, in <module>
import intel_extension_for_pytorch as ipex
File "/home/hero/.pyenv/versions/3.8.12/lib/python3.8/site-packages/intel_extension_for_pytorch/__init__.py", line 11, in <module>
from .cpu import _cpu_isa
File "/home/hero/.pyenv/versions/3.8.12/lib/python3.8/site-packages/intel_extension_for_pytorch/cpu/__init__.py", line 1, in <module>
from . import runtime
File "/home/hero/.pyenv/versions/3.8.12/lib/python3.8/site-packages/intel_extension_for_pytorch/cpu/runtime/__init__.py", line 3, in <module>
from .multi_stream import MultiStreamModule, get_default_num_streams, \
File "/home/hero/.pyenv/versions/3.8.12/lib/python3.8/site-packages/intel_extension_for_pytorch/cpu/runtime/multi_stream.py", line 4, in <module>
import intel_extension_for_pytorch._C as core
ImportError: /home/hero/.pyenv/versions/3.8.12/lib/python3.8/site-packages/intel_extension_for_pytorch/lib/libintel-ext-pt-cpu.so: undefined symbol: _ZNK3c1010TensorImpl22is_strides_like_customENS_12MemoryFormatEThe answer is quite tricky: need to install the IPEX package with the same version of PyTorch.
After the testing of both torch.jit.trace and this IPEX, we found out that `torch.jit.trace` could boost the performance of prediction significantly but IPEX could not.