[[0.045, 1.83], [1.55, 0.224, 0.621, ..., 1.24, 3.87], ..., [0.153, 0.0017]]

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[12], line 33
     29 values2_cpu = _square(ak.to_backend(values, "cpu"))
     31 print(values2_cpu)
---> 33 values2 = _square_cuda(values)
     35 print(values2)

File ~/.conda/envs/coffea-gpu/lib/python3.11/site-packages/numba/cuda/vectorizers.py:28, in CUDAUFuncDispatcher.__call__(self, *args, **kws)
     17 def __call__(self, *args, **kws):
     18     """
     19     *args: numpy arrays or DeviceArrayBase (created by cuda.to_device).
     20            Cannot mix the two types in one call.
   (...)
     26                   the input arguments.
     27     """
---> 28     return CUDAUFuncMechanism.call(self.functions, args, kws)

File ~/.conda/envs/coffea-gpu/lib/python3.11/site-packages/numba/np/ufunc/deviceufunc.py:254, in UFuncMechanism.call(cls, typemap, args, kws)
    252 # Begin call resolution
    253 cr = cls(typemap, args)
--> 254 args = cr.get_arguments()
    255 resty, func = cr.get_function()
    257 outshape = args[0].shape

File ~/.conda/envs/coffea-gpu/lib/python3.11/site-packages/numba/np/ufunc/deviceufunc.py:202, in UFuncMechanism.get_arguments(self)
    198 def get_arguments(self):
    199     """Prepare and return the arguments for the ufunc.
    200     Does not call to_device().
    201     """
--> 202     self._fill_arrays()
    203     self._fill_argtypes()
    204     self._resolve_signature()

File ~/.conda/envs/coffea-gpu/lib/python3.11/site-packages/numba/np/ufunc/deviceufunc.py:100, in UFuncMechanism._fill_arrays(self)
     98     self.scalarpos.append(i)
     99 else:
--> 100     self.arrays[i] = np.asarray(arg)

File [~/coffea-gpu/awkward/src/awkward/highlevel.py:1434](https://analytics-hub.fnal.gov/user/lagray/lab/tree/coffea-gpu/coffea-gpu/awkward/src/awkward/highlevel.py#line=1433), in Array.__array__(self, dtype)
   1429 with ak._errors.OperationErrorContext(
   1430     "numpy.asarray", (self,), {"dtype": dtype}
   1431 ):
   1432     from awkward._connect.numpy import convert_to_array
-> 1434     return convert_to_array(self._layout, dtype=dtype)

File [~/coffea-gpu/awkward/src/awkward/_connect/numpy.py:481](https://analytics-hub.fnal.gov/user/lagray/lab/tree/coffea-gpu/coffea-gpu/awkward/src/awkward/_connect/numpy.py#line=480), in convert_to_array(layout, dtype)
    480 def convert_to_array(layout, dtype=None):
--> 481     out = ak.operations.to_numpy(layout, allow_missing=False)
    482     if dtype is None:
    483         return out

File [~/coffea-gpu/awkward/src/awkward/_dispatch.py:64](https://analytics-hub.fnal.gov/user/lagray/lab/tree/coffea-gpu/coffea-gpu/awkward/src/awkward/_dispatch.py#line=63), in named_high_level_function.<locals>.dispatch(*args, **kwargs)
     62 # Failed to find a custom overload, so resume the original function
     63 try:
---> 64     next(gen_or_result)
     65 except StopIteration as err:
     66     return err.value

File [~/coffea-gpu/awkward/src/awkward/operations/ak_to_numpy.py:48](https://analytics-hub.fnal.gov/user/lagray/lab/tree/coffea-gpu/coffea-gpu/awkward/src/awkward/operations/ak_to_numpy.py#line=47), in to_numpy(array, allow_missing)
     45 yield (array,)
     47 # Implementation
---> 48 return _impl(array, allow_missing)

File [~/coffea-gpu/awkward/src/awkward/operations/ak_to_numpy.py:60](https://analytics-hub.fnal.gov/user/lagray/lab/tree/coffea-gpu/coffea-gpu/awkward/src/awkward/operations/ak_to_numpy.py#line=59), in _impl(array, allow_missing)
     57 backend = NumpyBackend.instance()
     58 numpy_layout = layout.to_backend(backend)
---> 60 return numpy_layout.to_backend_array(allow_missing=allow_missing)

File [~/coffea-gpu/awkward/src/awkward/contents/content.py:1020](https://analytics-hub.fnal.gov/user/lagray/lab/tree/coffea-gpu/coffea-gpu/awkward/src/awkward/contents/content.py#line=1019), in Content.to_backend_array(self, allow_missing, backend)
   1018 else:
   1019     backend = regularize_backend(backend)
-> 1020 return self._to_backend_array(allow_missing, backend)

File [~/coffea-gpu/awkward/src/awkward/contents/listoffsetarray.py:2072](https://analytics-hub.fnal.gov/user/lagray/lab/tree/coffea-gpu/coffea-gpu/awkward/src/awkward/contents/listoffsetarray.py#line=2071), in ListOffsetArray._to_backend_array(self, allow_missing, backend)
   2070     return buffer.view(np.dtype(("S", max_count)))
   2071 else:
-> 2072     return self.to_RegularArray()._to_backend_array(allow_missing, backend)

File [~/coffea-gpu/awkward/src/awkward/contents/listoffsetarray.py:283](https://analytics-hub.fnal.gov/user/lagray/lab/tree/coffea-gpu/coffea-gpu/awkward/src/awkward/contents/listoffsetarray.py#line=282), in ListOffsetArray.to_RegularArray(self)
    278 _size = Index64.empty(1, self._backend.index_nplike)
    279 assert (
    280     _size.nplike is self._backend.index_nplike
    281     and self._offsets.nplike is self._backend.index_nplike
    282 )
--> 283 self._backend.maybe_kernel_error(
    284     self._backend[
    285         "awkward_ListOffsetArray_toRegularArray",
    286         _size.dtype.type,
    287         self._offsets.dtype.type,
    288     ](
    289         _size.data,
    290         self._offsets.data,
    291         self._offsets.length,
    292     )
    293 )
    294 size = self._backend.index_nplike.index_as_shape_item(_size[0])
    295 length = self._offsets.length - 1

File [~/coffea-gpu/awkward/src/awkward/_backends/backend.py:67](https://analytics-hub.fnal.gov/user/lagray/lab/tree/coffea-gpu/coffea-gpu/awkward/src/awkward/_backends/backend.py#line=66), in Backend.maybe_kernel_error(self, error)
     65     return
     66 else:
---> 67     raise ValueError(self.format_kernel_error(error))

ValueError: cannot convert to RegularArray because subarray lengths are not regular (in compiled code: https://github.com/scikit-hep/awkward/blob/awkward-cpp-35/awkward-cpp/src/cpu-kernels/awkward_ListOffsetArray_toRegularArray.cpp#L22)

This error occurred while calling

    numpy.asarray(
        <Array [[0.2120250193289826, ...], ...] type='50 * var * float64'>
        dtype = None
    )