gistfile1.txt

---------------------------------------------------------------------------
MemoryError                               Traceback (most recent call last)
Cell In[13], line 4
      2 x_pnt = points[:, 0]
      3 y_pnt = points[:, 1]
----> 4 points = cuspatial.core.geoseries.GeoSeries.from_points_xy(points.flatten())
      6 x_poly = polygon[:, 0]
      7 y_poly = polygon[:, 1]

File /opt/conda/envs/all_cuda-118_arch-x86_64/lib/python3.10/site-packages/cuspatial/core/geoseries.py:631, in GeoSeries.from_points_xy(cls, points_xy)
    616 @classmethod
    617 def from_points_xy(cls, points_xy):
    618     """Construct a GeoSeries of POINTs from an array of interleaved xy
    619     coordinates.
    620 
   (...)
    629         A GeoSeries made of the points.
    630     """
--> 631     return cls(GeoColumn._from_points_xy(as_column(points_xy)))

File /opt/conda/envs/all_cuda-118_arch-x86_64/lib/python3.10/site-packages/cuspatial/core/_column/geocolumn.py:148, in GeoColumn._from_points_xy(cls, points_xy)
    137 point_col = _xy_as_variable_sized_list(points_xy)
    138 num_points = len(point_col)
    140 meta = GeoMeta(
    141     {
    142         "input_types": as_column(
    143             cp.full(
    144                 num_points, Feature_Enum.POINT.value, dtype=cp.int8
    145             )
    146         ),
    147         "union_offsets": as_column(
--> 148             cp.arange(num_points, dtype=cp.int32)
    149         ),
    150     }
    151 )
    153 coord_dtype = points_xy.dtype
    154 return cls(
    155     (
    156         cudf.Series(point_col),
   (...)
    167     meta,
    168 )

File /opt/conda/envs/all_cuda-118_arch-x86_64/lib/python3.10/site-packages/cupy/_creation/ranges.py:55, in arange(start, stop, step, dtype)
     52     else:
     53         return cupy.array([start], dtype=numpy.bool_)
---> 55 ret = cupy.empty((size,), dtype=dtype)
     56 typ = numpy.dtype(dtype).type
     57 _arange_ufunc(typ(start), typ(step), ret, dtype=dtype)

File /opt/conda/envs/all_cuda-118_arch-x86_64/lib/python3.10/site-packages/cupy/_creation/basic.py:22, in empty(shape, dtype, order)
      7 def empty(shape, dtype=float, order='C'):
      8     """Returns an array without initializing the elements.
      9 
     10     Args:
   (...)
     20 
     21     """
---> 22     return cupy.ndarray(shape, dtype, order=order)

File cupy/_core/core.pyx:136, in cupy._core.core.ndarray.__new__()

File cupy/_core/core.pyx:224, in cupy._core.core._ndarray_base._init()

File cupy/cuda/memory.pyx:742, in cupy.cuda.memory.alloc()

File /opt/conda/envs/all_cuda-118_arch-x86_64/lib/python3.10/site-packages/rmm/allocators/cupy.py:37, in rmm_cupy_allocator(nbytes)
     34     raise ModuleNotFoundError("No module named 'cupy'")
     36 stream = Stream(obj=cupy.cuda.get_current_stream())
---> 37 buf = librmm.device_buffer.DeviceBuffer(size=nbytes, stream=stream)
     38 dev_id = -1 if buf.ptr else cupy.cuda.device.get_device_id()
     39 mem = cupy.cuda.UnownedMemory(
     40     ptr=buf.ptr, size=buf.size, owner=buf, device_id=dev_id
     41 )

File device_buffer.pyx:85, in rmm._lib.device_buffer.DeviceBuffer.__cinit__()

MemoryError: std::bad_alloc: out_of_memory: CUDA error at: /opt/conda/envs/all_cuda-118_arch-x86_64/include/rmm/mr/device/cuda_memory_resource.hpp