Nuitka: Transformers raises "no sympy" after compiling

Before submitting an Issue, please review the Issue Guidelines.

• Please check whether the bug was already reported or fixed Mentioned here https://github.com/Nuitka/Nuitka/issues/2228

Tried to build with torch and transformers it seems to be missing sympy?

• Nuitka version, full Python version, flavor, OS, etc. as output by this command.

1.6 Commercial: None Python: 3.10.2 (tags/v3.10.2:a58ebcc, Jan 17 2022, 14:12:15) [MSC v.1929 64 bit (AMD64)] Flavor: CPython Official Executable: C:\Users\Tensor\Desktop\aiengine.venv\Scripts\python.exe OS: Windows Arch: x86_64 WindowsRelease: 10 Version C compiler: C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.32.31326\bin\Hostx64\x64\cl.exe (cl 14.3).

• How did you install Nuitka and Python

using a virtual env then using pip3

• The specific PyPI names and versions

anyio==3.7.0 backoff==2.2.1 certifi==2022.12.7 click==8.1.3 clickhouse-connect==0.5.25 colorama==0.4.6 coloredlogs==15.0.1 duckdb==0.8.0 exceptiongroup==1.1.1 fastapi==0.95.2 filelock==3.9.0 flatbuffers==23.5.26 fsspec==2023.5.0 h11==0.14.0 hnswlib==0.7.0 httptools==0.5.0 huggingface-hub==0.14.1 humanfriendly==10.0 idna==3.4 Jinja2==3.1.2 lz4==4.3.2 MarkupSafe==2.1.2 monotonic==1.6 mpmath==1.2.1 networkx==3.0 Nuitka==1.6 numpy==1.24.1 onnxruntime==1.15.0 ordered-set==4.1.0 overrides==7.3.1 packaging==23.1 pandas==2.0.2 Pillow==9.3.0 posthog==3.0.1 protobuf==4.23.2 pydantic==1.10.8 pyreadline3==3.4.1 python-dateutil==2.8.2 python-dotenv==1.0.0 pytz==2023.3 PyYAML==6.0 regex==2023.5.5 requests==2.28.1 safetensors==0.3.1 six==1.16.0 sniffio==1.3.0 starlette==0.27.0 sympy==1.11.1 tokenizers==0.13.3 torch==2.0.0+cu117 torchaudio==2.0.1+cu117 torchvision==0.15.1+cu117 tqdm==4.65.0 transformers==4.29.2 typing_extensions==4.6.2 tzdata==2023.3 urllib3==1.26.13 uvicorn==0.22.0 watchfiles==0.19.0 websockets==11.0.3 zstandard==0.21.0

Heres the output after compiling with hugging face and torch.

No sympy found Traceback (most recent call last): File “C:\Users\Tensor\Desktop\aiengine\GPTQ-F~1\MAIN~1.DIS\main.py”, line 4, in <module> File “<frozen importlib._bootstrap>”, line 1027, in _find_and_load File “<frozen importlib._bootstrap>”, line 1006, in _find_and_load_unlocked File “<frozen importlib._bootstrap>”, line 688, in load_unlocked File "C:\Users\Tensor\Desktop\aiengine\GPTQ-F~1\MAIN~1.DIS\torch_init.py", line 1465, in <module torch>
File “<frozen importlib._bootstrap>”, line 1027, in _find_and_load File “<frozen importlib._bootstrap>”, line 1006, in _find_and_load_unlocked File “<frozen importlib._bootstrap>”, line 688, in _load_unlocked File “C:\Users\Tensor\Desktop\aiengine\GPTQ-F~1\MAIN~1.DIS\torch_meta_registrations.py”, line 7, in <module torch._meta_registrations> File “<frozen importlib._bootstrap>”, line 1027, in _find_and_load File “<frozen importlib._bootstrap>”, line 1006, in _find_and_load_unlocked File “<frozen importlib._bootstrap>”, line 688, in load_unlocked File "C:\Users\Tensor\Desktop\aiengine\GPTQ-F~1\MAIN~1.DIS\torch_decomp_init.py", line 169, in <module torch._decomp> File “<frozen importlib._bootstrap>”, line 1027, in _find_and_load File “<frozen importlib._bootstrap>”, line 1006, in _find_and_load_unlocked File “<frozen importlib._bootstrap>”, line 688, in _load_unlocked File “C:\Users\Tensor\Desktop\aiengine\GPTQ-F~1\MAIN~1.DIS\torch_decomp\decompositions.py”, line 10, in <module torch._decomp.decompositions> File “<frozen importlib._bootstrap>”, line 1027, in _find_and_load File “<frozen importlib._bootstrap>”, line 1006, in _find_and_load_unlocked File “<frozen importlib._bootstrap>”, line 688, in load_unlocked File "C:\Users\Tensor\Desktop\aiengine\GPTQ-F~1\MAIN~1.DIS\torch_prims_init.py", line 33, in <module torch._prims> File “<frozen importlib._bootstrap>”, line 1027, in _find_and_load File “<frozen importlib._bootstrap>”, line 1006, in _find_and_load_unlocked File “<frozen importlib._bootstrap>”, line 688, in load_unlocked File "C:\Users\Tensor\Desktop\aiengine\GPTQ-F~1\MAIN~1.DIS\torch_subclasses_init.py", line 3, in <module torch._subclasses> File “<frozen importlib._bootstrap>”, line 1027, in _find_and_load File “<frozen importlib._bootstrap>”, line 1006, in _find_and_load_unlocked File “<frozen importlib._bootstrap>”, line 688, in _load_unlocked File “C:\Users\Tensor\Desktop\aiengine\GPTQ-F~1\MAIN~1.DIS\torch_subclasses\fake_tensor.py”, line 13, in <module torch._subclasses.fake_tensor> File “<frozen importlib._bootstrap>”, line 1027, in _find_and_load File “<frozen importlib._bootstrap>”, line 1006, in _find_and_load_unlocked File “<frozen importlib._bootstrap>”, line 688, in _load_unlocked File “C:\Users\Tensor\Desktop\aiengine\GPTQ-F~1\MAIN~1.DIS\torch_guards.py”, line 78, in <module torch._guards>
File “C:\Users\Tensor\Desktop\aiengine\GPTQ-F~1\MAIN~1.DIS\torch_guards.py”, line 79, in ShapeGuard NameError: name ‘sympy’ is not defined

Command to execute

python -m nuitka main.py --standalone --follow-imports --show-progress --show-scons --show-modules --include-package=setuptools --noinclude-pytest-mode=nofollow --noinclude-unittest-mode=nofollow --noinclude-dask-mode=nofollow --noinclude-numba-mode=nofollow --lto=no  --standalone

Code used

from transformers import AutoTokenizer
import time
import torch
import torch.nn as nn

DEV = torch.device('cuda:0')
model_name = "EleutherAI/gpt-j-6b"

tokenizer = AutoTokenizer.from_pretrained(model_name)
input_ids = tokenizer.encode("Hello world this is a test of the context and how it should work.", return_tensors="pt").to(DEV)
print(input_ids)