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Description
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Describe the bug
from itertools import product
import cudaq
@cudaq.kernel
def test():
q = cudaq.qubit()
x(q)does not work...
Steps to reproduce the bug
Error message was
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Cell In[1], line 5
1 from itertools import product as product_
2 import cudaq
4 @cudaq.kernel
----> 5 def test():
6 q = cudaq.qubit()
7 x(q)
File [/opt/nvidia/cudaq/cudaq/kernel/kernel_decorator.py:526](http://10.20.100.80:1519/opt/nvidia/cudaq/cudaq/kernel/kernel_decorator.py#line=525), in kernel(function, **kwargs)
517 """
518 The `cudaq.kernel` represents the CUDA-Q language function
519 attribute that programmers leverage to indicate the following function
(...)
523 Verbose logging can be enabled via `verbose=True`.
524 """
525 if function:
--> 526 return PyKernelDecorator(function)
527 else:
529 def wrapper(function):
File [/opt/nvidia/cudaq/cudaq/kernel/kernel_decorator.py:96](http://10.20.100.80:1519/opt/nvidia/cudaq/cudaq/kernel/kernel_decorator.py#line=95), in PyKernelDecorator.__init__(self, function, verbose, module, kernelName, funcSrc, signature, location, overrideGlobalScopedVars)
94 for name, var in self.globalScopedVars.items():
95 if isinstance(var, type):
---> 96 globalRegisteredTypes[name] = (var, var.__annotations__)
98 # Once the kernel is compiled to MLIR, we
99 # want to know what capture variables, if any, were
100 # used in the kernel. We need to track these.
101 self.dependentCaptures = None
AttributeError: type object 'itertools.product' has no attribute '__annotations__'
Expected behavior
no error
Is this a regression? If it is, put the last known working version (or commit) here.
Not a regression
Environment
- CUDA-Q version:
- Python version:
- C++ compiler:
- Operating system:
I'm using CUDA-Q container for 0.9.1
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