when i running train.py

[Debtor141]

/home/debtor/CLOCs/second/core/geometry.py:146: NumbaWarning:
Compilation is falling back to object mode WITH looplifting enabled because Function "points_in_convex_polygon_jit" failed type inference due to: No implementation of function Function() found for signature:

getitem(array(float32, 3d, C), Tuple(slice<a:b>, list(int64)<iv=None>, slice<a:b>))

There are 22 candidate implementations:

• Of which 20 did not match due to:
  Overload of function 'getitem': File: : Line N/A.
  With argument(s): '(array(float32, 3d, C), Tuple(slice<a:b>, list(int64)<iv=None>, slice<a:b>))':
  No match.
• Of which 2 did not match due to:
  Overload in function 'GetItemBuffer.generic': File: numba/core/typing/arraydecl.py: Line 162.
  With argument(s): '(array(float32, 3d, C), Tuple(slice<a:b>, list(int64)<iv=None>, slice<a:b>))':
  Rejected as the implementation raised a specific error:
  TypeError: unsupported array index type list(int64)<iv=None> in Tuple(slice<a:b>, list(int64)<iv=None>, slice<a:b>)
  raised from /home/debtor/anaconda3/envs/CLOCs/lib/python3.6/site-packages/numba/core/typing/arraydecl.py:69

During: typing of intrinsic-call at /home/debtor/CLOCs/second/core/geometry.py (162)

File "core/geometry.py", line 162:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):

vec1 = polygon - polygon[:, [num_points_of_polygon - 1] +
list(range(num_points_of_polygon - 1)), :]
^

@numba.jit
/home/debtor/CLOCs/second/core/geometry.py:146: NumbaWarning:
Compilation is falling back to object mode WITH looplifting enabled because Function "points_in_convex_polygon_jit" failed type inference due to: No implementation of function Function() found for signature:

getitem(array(float32, 3d, C), Tuple(slice<a:b>, list(int64)<iv=None>, slice<a:b>))

There are 22 candidate implementations:

• Of which 20 did not match due to:
  Overload of function 'getitem': File: : Line N/A.
  With argument(s): '(array(float32, 3d, C), Tuple(slice<a:b>, list(int64)<iv=None>, slice<a:b>))':
  No match.
• Of which 2 did not match due to:
  Overload in function 'GetItemBuffer.generic': File: numba/core/typing/arraydecl.py: Line 162.
  With argument(s): '(array(float32, 3d, C), Tuple(slice<a:b>, list(int64)<iv=None>, slice<a:b>))':
  Rejected as the implementation raised a specific error:
  TypeError: unsupported array index type list(int64)<iv=None> in Tuple(slice<a:b>, list(int64)<iv=None>, slice<a:b>)
  raised from /home/debtor/anaconda3/envs/CLOCs/lib/python3.6/site-packages/numba/core/typing/arraydecl.py:69

During: typing of intrinsic-call at /home/debtor/CLOCs/second/core/geometry.py (162)

File "core/geometry.py", line 162:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):

vec1 = polygon - polygon[:, [num_points_of_polygon - 1] +
list(range(num_points_of_polygon - 1)), :]
^

@numba.jit
/home/debtor/CLOCs/second/core/geometry.py:146: NumbaWarning:
Compilation is falling back to object mode WITH looplifting enabled because Function "points_in_convex_polygon_jit" failed type inference due to: No implementation of function Function() found for signature:

getitem(array(float32, 3d, C), Tuple(slice<a:b>, list(int64)<iv=None>, slice<a:b>))

There are 22 candidate implementations:

• Of which 20 did not match due to:
  Overload of function 'getitem': File: : Line N/A.
  With argument(s): '(array(float32, 3d, C), Tuple(slice<a:b>, list(int64)<iv=None>, slice<a:b>))':
  No match.
• Of which 2 did not match due to:
  Overload in function 'GetItemBuffer.generic': File: numba/core/typing/arraydecl.py: Line 162.
  With argument(s): '(array(float32, 3d, C), Tuple(slice<a:b>, list(int64)<iv=None>, slice<a:b>))':
  Rejected as the implementation raised a specific error:
  TypeError: unsupported array index type list(int64)<iv=None> in Tuple(slice<a:b>, list(int64)<iv=None>, slice<a:b>)
  raised from /home/debtor/anaconda3/envs/CLOCs/lib/python3.6/site-packages/numba/core/typing/arraydecl.py:69

During: typing of intrinsic-call at /home/debtor/CLOCs/second/core/geometry.py (162)

File "core/geometry.py", line 162:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):

vec1 = polygon - polygon[:, [num_points_of_polygon - 1] +
list(range(num_points_of_polygon - 1)), :]
^

@numba.jit
/home/debtor/CLOCs/second/core/geometry.py:146: 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.core.dispatcher.LiftedLoop'>

File "core/geometry.py", line 170:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):

cross = 0.0
for i in range(num_points):
^

@numba.jit
/home/debtor/CLOCs/second/core/geometry.py:146: 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.core.dispatcher.LiftedLoop'>

File "core/geometry.py", line 170:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):

cross = 0.0
for i in range(num_points):
^

@numba.jit
/home/debtor/CLOCs/second/core/geometry.py:146: 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.core.dispatcher.LiftedLoop'>

File "core/geometry.py", line 170:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):

cross = 0.0
for i in range(num_points):
^

@numba.jit
/home/debtor/anaconda3/envs/CLOCs/lib/python3.6/site-packages/numba/core/object_mode_passes.py:152: NumbaWarning: Function "points_in_convex_polygon_jit" was compiled in object mode without forceobj=True, but has lifted loops.

File "core/geometry.py", line 157:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):

# first convert polygon to directed lines
num_points_of_polygon = polygon.shape[1]
^

state.func_ir.loc))
/home/debtor/anaconda3/envs/CLOCs/lib/python3.6/site-packages/numba/core/object_mode_passes.py:152: NumbaWarning: Function "points_in_convex_polygon_jit" was compiled in object mode without forceobj=True, but has lifted loops.

File "core/geometry.py", line 157:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):

# first convert polygon to directed lines
num_points_of_polygon = polygon.shape[1]
^

state.func_ir.loc))
/home/debtor/anaconda3/envs/CLOCs/lib/python3.6/site-packages/numba/core/object_mode_passes.py:152: NumbaWarning: Function "points_in_convex_polygon_jit" was compiled in object mode without forceobj=True, but has lifted loops.

File "core/geometry.py", line 157:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):

# first convert polygon to directed lines
num_points_of_polygon = polygon.shape[1]
^

state.func_ir.loc))
/home/debtor/anaconda3/envs/CLOCs/lib/python3.6/site-packages/numba/core/object_mode_passes.py:162: NumbaDeprecationWarning:
Fall-back from the nopython compilation path to the object mode compilation path has been detected, this is deprecated behaviour.

For more information visit https://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit

File "core/geometry.py", line 157:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):

# first convert polygon to directed lines
num_points_of_polygon = polygon.shape[1]
^

state.func_ir.loc))
/home/debtor/anaconda3/envs/CLOCs/lib/python3.6/site-packages/numba/core/object_mode_passes.py:162: NumbaDeprecationWarning:
Fall-back from the nopython compilation path to the object mode compilation path has been detected, this is deprecated behaviour.

For more information visit https://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit

File "core/geometry.py", line 157:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):

# first convert polygon to directed lines
num_points_of_polygon = polygon.shape[1]
^

state.func_ir.loc))
/home/debtor/anaconda3/envs/CLOCs/lib/python3.6/site-packages/numba/core/object_mode_passes.py:162: NumbaDeprecationWarning:
Fall-back from the nopython compilation path to the object mode compilation path has been detected, this is deprecated behaviour.

For more information visit https://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit

File "core/geometry.py", line 157:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):

# first convert polygon to directed lines
num_points_of_polygon = polygon.shape[1]
^

state.func_ir.loc))
Traceback (most recent call last):
File "./pytorch/train.py", line 918, in
fire.Fire()
File "/home/debtor/anaconda3/envs/CLOCs/lib/python3.6/site-packages/fire/core.py", line 141, in Fire
component_trace = _Fire(component, args, parsed_flag_args, context, name)
File "/home/debtor/anaconda3/envs/CLOCs/lib/python3.6/site-packages/fire/core.py", line 471, in _Fire
target=component.name)
File "/home/debtor/anaconda3/envs/CLOCs/lib/python3.6/site-packages/fire/core.py", line 681, in _CallAndUpdateTrace
component = fn(*varargs, **kwargs)
File "./pytorch/train.py", line 371, in train
raise e
File "./pytorch/train.py", line 240, in train
all_3d_output_camera_dict, all_3d_output, top_predictions, fusion_input,tensor_index = net(example_torch,detection_2d_path)
File "/home/debtor/anaconda3/envs/CLOCs/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(*input, **kwargs)
File "/home/debtor/CLOCs/second/pytorch/models/voxelnet.py", line 304, in forward
voxel_features, coors, batch_size_dev)
File "/home/debtor/anaconda3/envs/CLOCs/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(*input, **kwargs)
File "/home/debtor/CLOCs/second/pytorch/models/middle.py", line 545, in forward
ret = self.middle_conv(ret)
File "/home/debtor/anaconda3/envs/CLOCs/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(*input, **kwargs)
File "/home/debtor/anaconda3/envs/CLOCs/lib/python3.6/site-packages/spconv/modules.py", line 123, in forward
input = module(input)
File "/home/debtor/anaconda3/envs/CLOCs/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(*input, **kwargs)
File "/home/debtor/anaconda3/envs/CLOCs/lib/python3.6/site-packages/spconv/conv.py", line 157, in forward
outids.shape[0])
File "/home/debtor/anaconda3/envs/CLOCs/lib/python3.6/site-packages/spconv/functional.py", line 83, in forward
return ops.indice_conv(features, filters, indice_pairs, indice_pair_num, num_activate_out, False, True)
File "/home/debtor/anaconda3/envs/CLOCs/lib/python3.6/site-packages/spconv/ops.py", line 112, in indice_conv
int(inverse), int(subm))
RuntimeError: cublas runtime error : the GPU program failed to execute at /tmp/pip-req-build-xea91aoh/aten/src/THC/THCBlas.cu:259