TypeError: unsupported array index type list(int64) in Tuple(slice<a:b>, list(int64), slice<a:b>)

[MohamedAboushnief]

I get this error when i run the train command and this is what is on the terminal:

WORKER 0 seed: 1585706405
WORKER 1 seed: 1585706406
WORKER 2 seed: 1585706407
/home/mohamed/Mohamed/second.pytorch/second/core/preprocess.py:463: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C))
  points[i:i + 1, :3] = points[i:i + 1, :3] @ rot_mat_T[j]
/home/mohamed/Mohamed/second.pytorch/second/lib/python3.6/site-packages/numba/typing/npydecl.py:958: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C))
  warnings.warn(NumbaPerformanceWarning(msg))
/home/mohamed/Mohamed/second.pytorch/second/core/preprocess.py:463: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C))
  points[i:i + 1, :3] = points[i:i + 1, :3] @ rot_mat_T[j]
/home/mohamed/Mohamed/second.pytorch/second/core/preprocess.py:463: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C))
  points[i:i + 1, :3] = points[i:i + 1, :3] @ rot_mat_T[j]
/home/mohamed/Mohamed/second.pytorch/second/lib/python3.6/site-packages/numba/typing/npydecl.py:958: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C))
  warnings.warn(NumbaPerformanceWarning(msg))
/home/mohamed/Mohamed/second.pytorch/second/lib/python3.6/site-packages/numba/typing/npydecl.py:958: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C))
  warnings.warn(NumbaPerformanceWarning(msg))
/home/mohamed/Mohamed/second.pytorch/second/core/geometry.py:272: NumbaWarning: 
Compilation is falling back to object mode WITH looplifting enabled because Function "points_in_convex_polygon_jit" failed type inference due to: Invalid use of Function(<built-in function getitem>) with argument(s) of type(s): (array(float32, 3d, C), Tuple(slice<a:b>, list(int64), slice<a:b>))
 * parameterized
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In definition 12:
    TypeError: unsupported array index type list(int64) in Tuple(slice<a:b>, list(int64), slice<a:b>)
    raised from /home/mohamed/Mohamed/second.pytorch/second/lib/python3.6/site-packages/numba/typing/arraydecl.py:71
In definition 13:
    TypeError: unsupported array index type list(int64) in Tuple(slice<a:b>, list(int64), slice<a:b>)
    raised from /home/mohamed/Mohamed/second.pytorch/second/lib/python3.6/site-packages/numba/typing/arraydecl.py:71
This error is usually caused by passing an argument of a type that is unsupported by the named function.
[1] During: typing of intrinsic-call at /home/mohamed/Mohamed/second.pytorch/second/core/geometry.py (288)

File "core/geometry.py", line 288:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):
    <source elided>
        vec1 = polygon - polygon[:, [num_points_of_polygon - 1] +
                                 list(range(num_points_of_polygon - 1)), :]
                                 ^

  @numba.jit
/home/mohamed/Mohamed/second.pytorch/second/core/geometry.py:272: NumbaWarning: 
Compilation is falling back to object mode WITHOUT looplifting enabled because Function "points_in_convex_polygon_jit" failed type inference due to: cannot determine Numba type of <class 'numba.dispatcher.LiftedLoop'>

File "core/geometry.py", line 296:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):
    <source elided>
    cross = 0.0
    for i in range(num_points):
    ^

  @numba.jit
/home/mohamed/Mohamed/second.pytorch/second/core/geometry.py:272: NumbaWarning: 
Compilation is falling back to object mode WITH looplifting enabled because Function "points_in_convex_polygon_jit" failed type inference due to: Invalid use of Function(<built-in function getitem>) with argument(s) of type(s): (array(float32, 3d, C), Tuple(slice<a:b>, list(int64), slice<a:b>))
 * parameterized
In definition 0:
    All templates rejected with literals.
In definition 1:
    All templates rejected without literals.
In definition 2:
    All templates rejected with literals.
In definition 3:
    All templates rejected without literals.
In definition 4:
    All templates rejected with literals.
In definition 5:
    All templates rejected without literals.
In definition 6:
    All templates rejected with literals.
In definition 7:
    All templates rejected without literals.
In definition 8:
    All templates rejected with literals.
In definition 9:
    All templates rejected without literals.
In definition 10:
    All templates rejected with literals.
In definition 11:
    All templates rejected without literals.
In definition 12:
    TypeError: unsupported array index type list(int64) in Tuple(slice<a:b>, list(int64), slice<a:b>)
    raised from /home/mohamed/Mohamed/second.pytorch/second/lib/python3.6/site-packages/numba/typing/arraydecl.py:71
In definition 13:
    TypeError: unsupported array index type list(int64) in Tuple(slice<a:b>, list(int64), slice<a:b>)
    raised from /home/mohamed/Mohamed/second.pytorch/second/lib/python3.6/site-packages/numba/typing/arraydecl.py:71
This error is usually caused by passing an argument of a type that is unsupported by the named function.
[1] During: typing of intrinsic-call at /home/mohamed/Mohamed/second.pytorch/second/core/geometry.py (288)

File "core/geometry.py", line 288:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):
    <source elided>
        vec1 = polygon - polygon[:, [num_points_of_polygon - 1] +
                                 list(range(num_points_of_polygon - 1)), :]
                                 ^

  @numba.jit
/home/mohamed/Mohamed/second.pytorch/second/core/geometry.py:272: NumbaWarning: 
Compilation is falling back to object mode WITH looplifting enabled because Function "points_in_convex_polygon_jit" failed type inference due to: Invalid use of Function(<built-in function getitem>) with argument(s) of type(s): (array(float32, 3d, C), Tuple(slice<a:b>, list(int64), slice<a:b>))
 * parameterized
In definition 0:
    All templates rejected with literals.
In definition 1:
    All templates rejected without literals.
In definition 2:
    All templates rejected with literals.
In definition 3:
    All templates rejected without literals.
In definition 4:
    All templates rejected with literals.
In definition 5:
    All templates rejected without literals.
In definition 6:
    All templates rejected with literals.
In definition 7:
    All templates rejected without literals.
In definition 8:
    All templates rejected with literals.
In definition 9:
    All templates rejected without literals.
In definition 10:
    All templates rejected with literals.
In definition 11:
    All templates rejected without literals.
In definition 12:
    TypeError: unsupported array index type list(int64) in Tuple(slice<a:b>, list(int64), slice<a:b>)
    raised from /home/mohamed/Mohamed/second.pytorch/second/lib/python3.6/site-packages/numba/typing/arraydecl.py:71
In definition 13:
    TypeError: unsupported array index type list(int64) in Tuple(slice<a:b>, list(int64), slice<a:b>)
    raised from /home/mohamed/Mohamed/second.pytorch/second/lib/python3.6/site-packages/numba/typing/arraydecl.py:71
This error is usually caused by passing an argument of a type that is unsupported by the named function.
[1] During: typing of intrinsic-call at /home/mohamed/Mohamed/second.pytorch/second/core/geometry.py (288)

File "core/geometry.py", line 288:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):
    <source elided>
        vec1 = polygon - polygon[:, [num_points_of_polygon - 1] +
                                 list(range(num_points_of_polygon - 1)), :]
                                 ^