Closed
Description
Describe the issue:
When importing pymc with import pymc as pm I get the error message:
AttributeError:np.obj2sctypewas removed in the NumPy 2.0 release. Usenp.dtype(obj).type instead.
(see full error message below).
I think the message is pretty clear, pymc does not support Numpy 2.0 at the moment.
Do we have any plans to support it?
Reproduceable code example:
# you just need to import pymc with numpy 2.1.3 of higher to get the error
import pymc as pmError message:
----> 1 import pymc as pm
File ~/miniconda3/lib/python3.12/site-packages/pymc/__init__.py:46
41 augmented = f"{augmented} -fno-unwind-tables -fno-asynchronous-unwind-tables"
43 pytensor.config.gcc__cxxflags = augmented
---> 46 __set_compiler_flags()
48 from pymc import _version, gp, ode, sampling
49 from pymc.backends import *
File ~/miniconda3/lib/python3.12/site-packages/pymc/__init__.py:29, in __set_compiler_flags()
27 def __set_compiler_flags():
28 # Workarounds for PyTensor compiler problems on various platforms
---> 29 import pytensor
31 current = pytensor.config.gcc__cxxflags
32 augmented = f"{current} -Wno-c++11-narrowing"
File ~/miniconda3/lib/python3.12/site-packages/pytensor/__init__.py:118
114 return as_tensor_variable(x, **kwargs)
117 # isort: off
--> 118 from pytensor import scalar, tensor
119 from pytensor.compile import (
120 In,
121 Mode,
(...)
127 shared,
128 )
129 from pytensor.compile.function import function, function_dump
File ~/miniconda3/lib/python3.12/site-packages/pytensor/tensor/__init__.py:103
99 return len(var.data)
102 import pytensor.tensor.exceptions
--> 103 import pytensor.tensor.rewriting
104 from pytensor.gradient import grad, hessian, jacobian
106 # adds shared-variable constructors
File ~/miniconda3/lib/python3.12/site-packages/pytensor/tensor/rewriting/__init__.py:1
----> 1 import pytensor.tensor.rewriting.basic
2 import pytensor.tensor.rewriting.blas
3 import pytensor.tensor.rewriting.blas_c
File ~/miniconda3/lib/python3.12/site-packages/pytensor/tensor/rewriting/basic.py:43
34 from pytensor.graph.rewriting.basic import (
35 NodeRewriter,
36 RemovalNodeRewriter,
(...)
40 node_rewriter,
41 )
42 from pytensor.graph.rewriting.db import RewriteDatabase
---> 43 from pytensor.raise_op import Assert, CheckAndRaise, assert_op
44 from pytensor.tensor.basic import (
45 Alloc,
46 AllocEmpty,
(...)
64 zeros_like,
65 )
66 from pytensor.tensor.elemwise import DimShuffle, Elemwise
File ~/miniconda3/lib/python3.12/site-packages/pytensor/raise_op.py:14
12 from pytensor.link.c.type import Generic
13 from pytensor.scalar.basic import ScalarType
---> 14 from pytensor.tensor.type import DenseTensorType
17 class ExceptionType(Generic):
18 def __eq__(self, other):
File ~/miniconda3/lib/python3.12/site-packages/pytensor/tensor/type.py:801
796 dtype = config.floatX
798 return TensorType(dtype=dtype, shape=shape, **kwargs)(name=name)
--> 801 cscalar = TensorType("complex64", ())
802 zscalar = TensorType("complex128", ())
803 fscalar = TensorType("float32", ())
File ~/miniconda3/lib/python3.12/site-packages/pytensor/tensor/type.py:105, in TensorType.__init__(self, dtype, shape, name, broadcastable)
103 self.dtype = config.floatX
104 else:
--> 105 if np.obj2sctype(dtype) is None:
106 raise TypeError(f"Invalid dtype: {dtype}")
108 self.dtype = np.dtype(dtype).name
File ~/miniconda3/lib/python3.12/site-packages/numpy/__init__.py:400, in __getattr__(attr)
397 raise AttributeError(__former_attrs__[attr], name=None)
399 if attr in __expired_attributes__:
--> 400 raise AttributeError(
401 f"`np.{attr}` was removed in the NumPy 2.0 release. "
402 f"{__expired_attributes__[attr]}",
403 name=None
404 )
406 if attr == "chararray":
407 warnings.warn(
408 "`np.chararray` is deprecated and will be removed from "
409 "the main namespace in the future. Use an array with a string "
410 "or bytes dtype instead.", DeprecationWarning, stacklevel=2)
AttributeError: `np.obj2sctype` was removed in the NumPy 2.0 release. Use `np.dtype(obj).type` instead.PyMC version information:
pip install pymc
versions:
pymc-5.15.0
numpy-2.1.3
Context for the issue:
No response