Hi, when I run the training I get those numba warnings. Do you know how to fix it? is it damage the results? I'm using numba version 0.49.1.
Thank you so much
`/home/access/PycharmProjects/new14/multi_leg/det3d/core/sampler/preprocess.py:464: 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/access/PycharmProjects/new14/multi_leg/det3d/core/sampler/preprocess.py:464: 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/access/PycharmProjects/new14/multi_leg/det3d/core/sampler/preprocess.py:464: 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/access/PycharmProjects/new14/multi_leg/det3d/core/sampler/preprocess.py:464: 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/access/PycharmProjects/new14/multi_leg/det3d/core/sampler/preprocess.py:464: 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/access/PycharmProjects/new14/multi_leg/det3d/core/sampler/preprocess.py:464: 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/access/PycharmProjects/new14/multi_leg/det3d/core/sampler/preprocess.py:464: 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/access/PycharmProjects/new14/multi_leg/det3d/core/sampler/preprocess.py:464: 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/access/PycharmProjects/new14/multi_leg/det3d/core/sampler/preprocess.py:464: 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/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/npydecl.py:943: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C))
warnings.warn(NumbaPerformanceWarning(msg))
/home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/npydecl.py:943: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C))
warnings.warn(NumbaPerformanceWarning(msg))
/home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/npydecl.py:943: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C))
warnings.warn(NumbaPerformanceWarning(msg))
/home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/npydecl.py:943: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C))
warnings.warn(NumbaPerformanceWarning(msg))
/home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/npydecl.py:943: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C))
warnings.warn(NumbaPerformanceWarning(msg))
/home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/npydecl.py:943: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C))
warnings.warn(NumbaPerformanceWarning(msg))
/home/access/PycharmProjects/new14/multi_leg/det3d/core/sampler/preprocess.py:464: 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/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/npydecl.py:943: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C))
warnings.warn(NumbaPerformanceWarning(msg))
/home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/npydecl.py:943: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C))
warnings.warn(NumbaPerformanceWarning(msg))
/home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/npydecl.py:943: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C))
warnings.warn(NumbaPerformanceWarning(msg))
/home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/npydecl.py:943: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C))
warnings.warn(NumbaPerformanceWarning(msg))
/home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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() with argument(s) of type(s): (array(float32, 3d, C), Tuple(slice, list(int64), slice))
parameterized
In definition 0:
All templates rejected with literals.
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All templates rejected without literals.
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All templates rejected with literals.
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All templates rejected without literals.
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All templates rejected with literals.
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All templates rejected without literals.
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All templates rejected with literals.
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All templates rejected without literals.
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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, list(int64), slice)
raised from /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/arraydecl.py:69
In definition 13:
TypeError: unsupported array index type list(int64) in Tuple(slice, list(int64), slice)
raised from /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/arraydecl.py:69
In definition 14:
All templates rejected with literals.
In definition 15:
All templates rejected without literals.
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/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py (298)
File "det3d/core/bbox/geometry.py", line 298:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit
/home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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 "det3d/core/bbox/geometry.py", line 315:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):
cross = 0.0
for i in range(num_points):
^
@numba.jit
/home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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() with argument(s) of type(s): (array(float32, 3d, C), Tuple(slice, list(int64), slice))
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, list(int64), slice)
raised from /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/arraydecl.py:69
In definition 13:
TypeError: unsupported array index type list(int64) in Tuple(slice, list(int64), slice)
raised from /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/arraydecl.py:69
In definition 14:
All templates rejected with literals.
In definition 15:
All templates rejected without literals.
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/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py (298)
File "det3d/core/bbox/geometry.py", line 298:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit
2020-06-11 11:29:45,988 - INFO - finding looplift candidates
/home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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 "det3d/core/bbox/geometry.py", line 315:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):
cross = 0.0
for i in range(num_points):
^
@numba.jit
/home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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() with argument(s) of type(s): (array(float32, 3d, C), Tuple(slice, list(int64), slice))
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, list(int64), slice)
raised from /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/arraydecl.py:69
In definition 13:
TypeError: unsupported array index type list(int64) in Tuple(slice, list(int64), slice)
raised from /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/arraydecl.py:69
In definition 14:
All templates rejected with literals.
In definition 15:
All templates rejected without literals.
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/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py (298)
File "det3d/core/bbox/geometry.py", line 298:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit
2020-06-11 11:29:46,045 - INFO - finding looplift candidates
/home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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 "det3d/core/bbox/geometry.py", line 315:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):
cross = 0.0
for i in range(num_points):
^
@numba.jit
/home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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() with argument(s) of type(s): (array(float32, 3d, C), Tuple(slice, list(int64), slice))
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, list(int64), slice)
raised from /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/arraydecl.py:69
In definition 13:
TypeError: unsupported array index type list(int64) in Tuple(slice, list(int64), slice)
raised from /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/arraydecl.py:69
In definition 14:
All templates rejected with literals.
In definition 15:
All templates rejected without literals.
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/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py (298)
File "det3d/core/bbox/geometry.py", line 298:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit
2020-06-11 11:29:46,087 - INFO - finding looplift candidates
/home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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() with argument(s) of type(s): (array(float32, 3d, C), Tuple(slice, list(int64), slice))
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, list(int64), slice)
raised from /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/arraydecl.py:69
In definition 13:
TypeError: unsupported array index type list(int64) in Tuple(slice, list(int64), slice)
raised from /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/arraydecl.py:69
In definition 14:
All templates rejected with literals.
In definition 15:
All templates rejected without literals.
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/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py (298)
File "det3d/core/bbox/geometry.py", line 298:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit
/home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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 "det3d/core/bbox/geometry.py", line 315:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):
cross = 0.0
for i in range(num_points):
^
@numba.jit
/home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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() with argument(s) of type(s): (array(float32, 3d, C), Tuple(slice, list(int64), slice))
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, list(int64), slice)
raised from /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/arraydecl.py:69
In definition 13:
TypeError: unsupported array index type list(int64) in Tuple(slice, list(int64), slice)
raised from /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/arraydecl.py:69
In definition 14:
All templates rejected with literals.
In definition 15:
All templates rejected without literals.
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/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py (298)
File "det3d/core/bbox/geometry.py", line 298:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit
/home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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 "det3d/core/bbox/geometry.py", line 315:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):
cross = 0.0
for i in range(num_points):
^
@numba.jit
/home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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 "det3d/core/bbox/geometry.py", line 315:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):
cross = 0.0
for i in range(num_points):
^
@numba.jit
/home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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() with argument(s) of type(s): (array(float32, 3d, C), Tuple(slice, list(int64), slice))
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, list(int64), slice)
raised from /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/arraydecl.py:69
In definition 13:
TypeError: unsupported array index type list(int64) in Tuple(slice, list(int64), slice)
raised from /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/arraydecl.py:69
In definition 14:
All templates rejected with literals.
In definition 15:
All templates rejected without literals.
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/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py (298)
File "det3d/core/bbox/geometry.py", line 298:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit
/home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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() with argument(s) of type(s): (array(float32, 3d, C), Tuple(slice, list(int64), slice))
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, list(int64), slice)
raised from /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/arraydecl.py:69
In definition 13:
TypeError: unsupported array index type list(int64) in Tuple(slice, list(int64), slice)
raised from /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/arraydecl.py:69
In definition 14:
All templates rejected with literals.
In definition 15:
All templates rejected without literals.
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/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py (298)
File "det3d/core/bbox/geometry.py", line 298:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit
2020-06-11 11:29:46,137 - INFO - finding looplift candidates
/home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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 "det3d/core/bbox/geometry.py", line 315:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):
cross = 0.0
for i in range(num_points):
^
@numba.jit
/home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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 "det3d/core/bbox/geometry.py", line 315:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):
cross = 0.0
for i in range(num_points):
^
@numba.jit
/home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:178: NumbaWarning: Function "points_in_convex_polygon_jit" was compiled in object mode without forceobj=True, but has lifted loops.
File "det3d/core/bbox/geometry.py", line 290:
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/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:188: NumbaDeprecationWarning:
Fall-back from the nopython compilation path to the object mode compilation path has been detected, this is deprecated behaviour.
File "det3d/core/bbox/geometry.py", line 290:
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/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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() with argument(s) of type(s): (array(float32, 3d, C), Tuple(slice, list(int64), slice))
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, list(int64), slice)
raised from /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/arraydecl.py:69
In definition 13:
TypeError: unsupported array index type list(int64) in Tuple(slice, list(int64), slice)
raised from /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/arraydecl.py:69
In definition 14:
All templates rejected with literals.
In definition 15:
All templates rejected without literals.
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/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py (298)
File "det3d/core/bbox/geometry.py", line 298:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit
2020-06-11 11:29:46,222 - INFO - finding looplift candidates
/home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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 "det3d/core/bbox/geometry.py", line 315:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):
cross = 0.0
for i in range(num_points):
^
@numba.jit
/home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:178: NumbaWarning: Function "points_in_convex_polygon_jit" was compiled in object mode without forceobj=True, but has lifted loops.
File "det3d/core/bbox/geometry.py", line 290:
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/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:188: NumbaDeprecationWarning:
Fall-back from the nopython compilation path to the object mode compilation path has been detected, this is deprecated behaviour.
File "det3d/core/bbox/geometry.py", line 290:
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/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:178: NumbaWarning: Function "points_in_convex_polygon_jit" was compiled in object mode without forceobj=True, but has lifted loops.
File "det3d/core/bbox/geometry.py", line 290:
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/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:188: NumbaDeprecationWarning:
Fall-back from the nopython compilation path to the object mode compilation path has been detected, this is deprecated behaviour.
File "det3d/core/bbox/geometry.py", line 290:
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/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:178: NumbaWarning: Function "points_in_convex_polygon_jit" was compiled in object mode without forceobj=True, but has lifted loops.
File "det3d/core/bbox/geometry.py", line 290:
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/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:188: NumbaDeprecationWarning:
Fall-back from the nopython compilation path to the object mode compilation path has been detected, this is deprecated behaviour.
File "det3d/core/bbox/geometry.py", line 290:
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/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:178: NumbaWarning: Function "points_in_convex_polygon_jit" was compiled in object mode without forceobj=True, but has lifted loops.
File "det3d/core/bbox/geometry.py", line 290:
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/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:188: NumbaDeprecationWarning:
Fall-back from the nopython compilation path to the object mode compilation path has been detected, this is deprecated behaviour.
File "det3d/core/bbox/geometry.py", line 290:
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/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:178: NumbaWarning: Function "points_in_convex_polygon_jit" was compiled in object mode without forceobj=True, but has lifted loops.
File "det3d/core/bbox/geometry.py", line 290:
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/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:188: NumbaDeprecationWarning:
Fall-back from the nopython compilation path to the object mode compilation path has been detected, this is deprecated behaviour.
File "det3d/core/bbox/geometry.py", line 290:
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/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:178: NumbaWarning: Function "points_in_convex_polygon_jit" was compiled in object mode without forceobj=True, but has lifted loops.
File "det3d/core/bbox/geometry.py", line 290:
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/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:188: NumbaDeprecationWarning:
Fall-back from the nopython compilation path to the object mode compilation path has been detected, this is deprecated behaviour.
File "det3d/core/bbox/geometry.py", line 290:
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/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:178: NumbaWarning: Function "points_in_convex_polygon_jit" was compiled in object mode without forceobj=True, but has lifted loops.
File "det3d/core/bbox/geometry.py", line 290:
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/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:188: NumbaDeprecationWarning:
Fall-back from the nopython compilation path to the object mode compilation path has been detected, this is deprecated behaviour.
File "det3d/core/bbox/geometry.py", line 290:
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/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:178: NumbaWarning: Function "points_in_convex_polygon_jit" was compiled in object mode without forceobj=True, but has lifted loops.
File "det3d/core/bbox/geometry.py", line 290:
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/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:188: NumbaDeprecationWarning:
Fall-back from the nopython compilation path to the object mode compilation path has been detected, this is deprecated behaviour.
File "det3d/core/bbox/geometry.py", line 290:
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/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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() with argument(s) of type(s): (array(float32, 3d, C), Tuple(slice, list(int64), slice))
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, list(int64), slice)
raised from /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/arraydecl.py:69
In definition 13:
TypeError: unsupported array index type list(int64) in Tuple(slice, list(int64), slice)
raised from /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/arraydecl.py:69
In definition 14:
All templates rejected with literals.
In definition 15:
All templates rejected without literals.
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/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py (298)
File "det3d/core/bbox/geometry.py", line 298:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit
/home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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 "det3d/core/bbox/geometry.py", line 315:
def points_in_convex_polygon_jit(points, polygon, clockwise=True):
cross = 0.0
for i in range(num_points):
^
@numba.jit
/home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:178: NumbaWarning: Function "points_in_convex_polygon_jit" was compiled in object mode without forceobj=True, but has lifted loops.
File "det3d/core/bbox/geometry.py", line 290:
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/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:188: NumbaDeprecationWarning:
Fall-back from the nopython compilation path to the object mode compilation path has been detected, this is deprecated behaviour.
an2tong1xm
commented
4 years ago
Hi, when I run the training I get those numba warnings. Do you know how to fix it? is it damage the results? I'm using numba version 0.49.1.
Thank you so much
`/home/access/PycharmProjects/new14/multi_leg/det3d/core/sampler/preprocess.py:464: 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/access/PycharmProjects/new14/multi_leg/det3d/core/sampler/preprocess.py:464: 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/access/PycharmProjects/new14/multi_leg/det3d/core/sampler/preprocess.py:464: 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/access/PycharmProjects/new14/multi_leg/det3d/core/sampler/preprocess.py:464: 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/access/PycharmProjects/new14/multi_leg/det3d/core/sampler/preprocess.py:464: 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/access/PycharmProjects/new14/multi_leg/det3d/core/sampler/preprocess.py:464: 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/access/PycharmProjects/new14/multi_leg/det3d/core/sampler/preprocess.py:464: 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/access/PycharmProjects/new14/multi_leg/det3d/core/sampler/preprocess.py:464: 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/access/PycharmProjects/new14/multi_leg/det3d/core/sampler/preprocess.py:464: 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/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/npydecl.py:943: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C)) warnings.warn(NumbaPerformanceWarning(msg)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/npydecl.py:943: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C)) warnings.warn(NumbaPerformanceWarning(msg)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/npydecl.py:943: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C)) warnings.warn(NumbaPerformanceWarning(msg)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/npydecl.py:943: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C)) warnings.warn(NumbaPerformanceWarning(msg)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/npydecl.py:943: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C)) warnings.warn(NumbaPerformanceWarning(msg)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/npydecl.py:943: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C)) warnings.warn(NumbaPerformanceWarning(msg)) /home/access/PycharmProjects/new14/multi_leg/det3d/core/sampler/preprocess.py:464: 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/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/npydecl.py:943: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C)) warnings.warn(NumbaPerformanceWarning(msg)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/npydecl.py:943: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C)) warnings.warn(NumbaPerformanceWarning(msg)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/npydecl.py:943: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C)) warnings.warn(NumbaPerformanceWarning(msg)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/typing/npydecl.py:943: NumbaPerformanceWarning: '@' is faster on contiguous arrays, called on (array(float32, 2d, A), array(float32, 2d, C)) warnings.warn(NumbaPerformanceWarning(msg)) /home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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() with argument(s) of type(s): (array(float32, 3d, C), Tuple(slice, list(int64), slice))
File "det3d/core/bbox/geometry.py", line 298: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit /home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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 "det3d/core/bbox/geometry.py", line 315: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit /home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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() with argument(s) of type(s): (array(float32, 3d, C), Tuple(slice, list(int64), slice))
File "det3d/core/bbox/geometry.py", line 298: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit 2020-06-11 11:29:45,988 - INFO - finding looplift candidates /home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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 "det3d/core/bbox/geometry.py", line 315: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit /home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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() with argument(s) of type(s): (array(float32, 3d, C), Tuple(slice, list(int64), slice))
File "det3d/core/bbox/geometry.py", line 298: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit 2020-06-11 11:29:46,045 - INFO - finding looplift candidates /home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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 "det3d/core/bbox/geometry.py", line 315: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit /home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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() with argument(s) of type(s): (array(float32, 3d, C), Tuple(slice, list(int64), slice))
File "det3d/core/bbox/geometry.py", line 298: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit 2020-06-11 11:29:46,087 - INFO - finding looplift candidates /home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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() with argument(s) of type(s): (array(float32, 3d, C), Tuple(slice, list(int64), slice))
File "det3d/core/bbox/geometry.py", line 298: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit /home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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 "det3d/core/bbox/geometry.py", line 315: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit /home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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() with argument(s) of type(s): (array(float32, 3d, C), Tuple(slice, list(int64), slice))
File "det3d/core/bbox/geometry.py", line 298: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit /home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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 "det3d/core/bbox/geometry.py", line 315: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit /home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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 "det3d/core/bbox/geometry.py", line 315: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit /home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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() with argument(s) of type(s): (array(float32, 3d, C), Tuple(slice, list(int64), slice))
File "det3d/core/bbox/geometry.py", line 298: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit /home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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() with argument(s) of type(s): (array(float32, 3d, C), Tuple(slice, list(int64), slice))
File "det3d/core/bbox/geometry.py", line 298: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit 2020-06-11 11:29:46,137 - INFO - finding looplift candidates /home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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 "det3d/core/bbox/geometry.py", line 315: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit /home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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 "det3d/core/bbox/geometry.py", line 315: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:178: NumbaWarning: Function "points_in_convex_polygon_jit" was compiled in object mode without forceobj=True, but has lifted loops.
File "det3d/core/bbox/geometry.py", line 290: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
state.func_ir.loc)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:188: 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 http://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit
File "det3d/core/bbox/geometry.py", line 290: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
state.func_ir.loc)) /home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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() with argument(s) of type(s): (array(float32, 3d, C), Tuple(slice, list(int64), slice))
File "det3d/core/bbox/geometry.py", line 298: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit 2020-06-11 11:29:46,222 - INFO - finding looplift candidates /home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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 "det3d/core/bbox/geometry.py", line 315: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:178: NumbaWarning: Function "points_in_convex_polygon_jit" was compiled in object mode without forceobj=True, but has lifted loops.
File "det3d/core/bbox/geometry.py", line 290: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
state.func_ir.loc)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:188: 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 http://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit
File "det3d/core/bbox/geometry.py", line 290: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
state.func_ir.loc)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:178: NumbaWarning: Function "points_in_convex_polygon_jit" was compiled in object mode without forceobj=True, but has lifted loops.
File "det3d/core/bbox/geometry.py", line 290: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
state.func_ir.loc)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:188: 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 http://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit
File "det3d/core/bbox/geometry.py", line 290: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
state.func_ir.loc)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:178: NumbaWarning: Function "points_in_convex_polygon_jit" was compiled in object mode without forceobj=True, but has lifted loops.
File "det3d/core/bbox/geometry.py", line 290: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
state.func_ir.loc)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:188: 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 http://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit
File "det3d/core/bbox/geometry.py", line 290: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
state.func_ir.loc)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:178: NumbaWarning: Function "points_in_convex_polygon_jit" was compiled in object mode without forceobj=True, but has lifted loops.
File "det3d/core/bbox/geometry.py", line 290: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
state.func_ir.loc)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:188: 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 http://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit
File "det3d/core/bbox/geometry.py", line 290: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
state.func_ir.loc)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:178: NumbaWarning: Function "points_in_convex_polygon_jit" was compiled in object mode without forceobj=True, but has lifted loops.
File "det3d/core/bbox/geometry.py", line 290: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
state.func_ir.loc)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:188: 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 http://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit
File "det3d/core/bbox/geometry.py", line 290: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
state.func_ir.loc)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:178: NumbaWarning: Function "points_in_convex_polygon_jit" was compiled in object mode without forceobj=True, but has lifted loops.
File "det3d/core/bbox/geometry.py", line 290: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
state.func_ir.loc)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:188: 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 http://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit
File "det3d/core/bbox/geometry.py", line 290: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
state.func_ir.loc)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:178: NumbaWarning: Function "points_in_convex_polygon_jit" was compiled in object mode without forceobj=True, but has lifted loops.
File "det3d/core/bbox/geometry.py", line 290: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
state.func_ir.loc)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:188: 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 http://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit
File "det3d/core/bbox/geometry.py", line 290: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
state.func_ir.loc)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:178: NumbaWarning: Function "points_in_convex_polygon_jit" was compiled in object mode without forceobj=True, but has lifted loops.
File "det3d/core/bbox/geometry.py", line 290: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
state.func_ir.loc)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:188: 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 http://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit
File "det3d/core/bbox/geometry.py", line 290: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
state.func_ir.loc)) /home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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() with argument(s) of type(s): (array(float32, 3d, C), Tuple(slice, list(int64), slice))
File "det3d/core/bbox/geometry.py", line 298: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit /home/access/PycharmProjects/new14/multi_leg/det3d/core/bbox/geometry.py:279: 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 "det3d/core/bbox/geometry.py", line 315: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
@numba.jit /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:178: NumbaWarning: Function "points_in_convex_polygon_jit" was compiled in object mode without forceobj=True, but has lifted loops.
File "det3d/core/bbox/geometry.py", line 290: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
state.func_ir.loc)) /home/access/anaconda3/envs/det_14/lib/python3.6/site-packages/numba/core/object_mode_passes.py:188: 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 http://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit
File "det3d/core/bbox/geometry.py", line 290: def points_in_convex_polygon_jit(points, polygon, clockwise=True):
`