sympy error

[gg4u]

Hi Maghoumi!
I report this issue, not sure if due to pytorch cuda version.
I installed it via pip, I could not get conda to find pytorch-cuda from nvidia channel, using conda version 23+.

pip install torch==2.0.0+cu118 torchvision==0.15.1+cu118 torchaudio==2.0.1 --index-url https://download.pytorch.org/whl/cu118

I import correctly the library, but:

AttributeError                            Traceback (most recent call last)
Cell In[19], line 4
      1 import sys
      2 sys.path.insert(0, "../../pytorch-softdtw-cuda")
----> 4 from soft_dtw_cuda import SoftDTW
      5 import torch

File /data0/home/h21/luas6629/Thesis/classifiers_bat_231/../../pytorch-softdtw-cuda/soft_dtw_cuda.py:25
      1 # MIT License
      2 #
      3 # Copyright (c) 2020 Mehran Maghoumi
   (...)
     21 # SOFTWARE.
     22 # ----------------------------------------------------------------------------------------------------------------------
     24 import numpy as np
---> 25 import torch
     26 import torch.cuda
     27 from numba import jit, prange

File ~/miniconda3/lib/python3.10/site-packages/torch/__init__.py:1465
   1463 from . import library
   1464 if not TYPE_CHECKING:
-> 1465     from . import _meta_registrations
   1467 # Enable CUDA Sanitizer
   1468 if 'TORCH_CUDA_SANITIZER' in os.environ:

File ~/miniconda3/lib/python3.10/site-packages/torch/_meta_registrations.py:7
      5 import torch._prims_common as utils
      6 from torch import Tensor
----> 7 from torch._decomp import _add_op_to_registry, global_decomposition_table, meta_table
      8 from torch._ops import OpOverload
      9 from torch._prims import _elementwise_meta, ELEMENTWISE_PRIM_TYPE_PROMOTION_KIND

File ~/miniconda3/lib/python3.10/site-packages/torch/_decomp/__init__.py:169
    165     return decompositions
    168 # populate the table
--> 169 import torch._decomp.decompositions
    170 import torch._refs
    172 # This list was copied from torch/_inductor/decomposition.py
    173 # excluding decompositions that results in prim ops
    174 # Resulting opset of decomposition is core aten ops

File ~/miniconda3/lib/python3.10/site-packages/torch/_decomp/decompositions.py:10
      7 from typing import Callable, cast, Iterable, List, Optional, Tuple, Union
      9 import torch
---> 10 import torch._prims as prims
     11 import torch._prims_common as utils
     12 import torch.nn.functional as F

File ~/miniconda3/lib/python3.10/site-packages/torch/_prims/__init__.py:33
     17 from torch._prims_common import (
     18     check,
     19     Dim,
   (...)
     30     type_to_dtype,
     31 )
     32 from torch._prims_common.wrappers import backwards_not_supported
---> 33 from torch._subclasses.fake_tensor import FakeTensor, FakeTensorMode
     34 from torch.overrides import handle_torch_function, has_torch_function
     35 from torch.utils._pytree import tree_flatten, tree_map, tree_unflatten

File ~/miniconda3/lib/python3.10/site-packages/torch/_subclasses/__init__.py:3
      1 import torch
----> 3 from torch._subclasses.fake_tensor import (
      4     DynamicOutputShapeException,
      5     FakeTensor,
      6     FakeTensorMode,
      7     UnsupportedFakeTensorException,
      8 )
     10 from torch._subclasses.fake_utils import CrossRefFakeMode
     12 __all__ = [
     13     "FakeTensor",
     14     "FakeTensorMode",
   (...)
     17     "CrossRefFakeMode",
     18 ]

File ~/miniconda3/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py:13
     10 from weakref import ReferenceType
     12 import torch
---> 13 from torch._guards import Source
     14 from torch._ops import OpOverload
     15 from torch._prims_common import (
     16     elementwise_dtypes,
     17     ELEMENTWISE_TYPE_PROMOTION_KIND,
     18     is_float_dtype,
     19     is_integer_dtype,
     20 )

File ~/miniconda3/lib/python3.10/site-packages/torch/_guards.py:78
     74 class GuardBuilderBase:
     75     pass
---> 78 class ShapeGuard(NamedTuple):
     79     expr: sympy.Expr
     80     stack: str

File ~/miniconda3/lib/python3.10/site-packages/torch/_guards.py:79, in ShapeGuard()
     78 class ShapeGuard(NamedTuple):
---> 79     expr: sympy.Expr
     80     stack: str

AttributeError: module 'sympy' has no attribute 'Expr'