optimize_block_celluar.py cannot work with '--target cuda'
Light-of-Hers opened this issue · comments
Just tested 4 files: optimize_block_celluar.py, optimize_conv1d.py, optimize_conv2d.py, optimize_conv3d.py
- optimize_block_celluar.py:
<class 'AssertionError'>
Traceback (most recent call last):
File "../../../auto_schedule/testing/scheduler.py", line 161, in exec_func
res = func(*args, **kwargs)
File "../../../auto_schedule/testing/scheduler.py", line 78, in build_func
s, bufs = schedule_with_config(task_key, configs, op_pos=op_pos)
File "../../../auto_schedule/testing/scheduler.py", line 1711, in schedule_with_config
template(s, op)
File "../../../auto_schedule/testing/scheduler.py", line 1263, in _cuda_schedule_split_reorder_fuse
assert pos < len(spatial_remainder)
AssertionError
op build fail:
<class 'AssertionError'>
Traceback (most recent call last):
File "../../../auto_schedule/testing/scheduler.py", line 161, in exec_func
res = func(*args, **kwargs)
File "../../../auto_schedule/testing/scheduler.py", line 78, in build_func
s, bufs = schedule_with_config(task_key, configs, op_pos=op_pos)
File "../../../auto_schedule/testing/scheduler.py", line 1711, in schedule_with_config
template(s, op)
File "../../../auto_schedule/testing/scheduler.py", line 1263, in _cuda_schedule_split_reorder_fuse
assert pos < len(spatial_remainder)
AssertionError
op build fail:
<class 'AssertionError'>
Traceback (most recent call last):
File "../../../auto_schedule/testing/scheduler.py", line 161, in exec_func
res = func(*args, **kwargs)
File "../../../auto_schedule/testing/scheduler.py", line 78, in build_func
s, bufs = schedule_with_config(task_key, configs, op_pos=op_pos)
File "../../../auto_schedule/testing/scheduler.py", line 1711, in schedule_with_config
template(s, op)
File "../../../auto_schedule/testing/scheduler.py", line 1263, in _cuda_schedule_split_reorder_fuse
assert pos < len(spatial_remainder)
AssertionError
op build fail:
<class 'AssertionError'>
Traceback (most recent call last):
File "../../../auto_schedule/testing/scheduler.py", line 161, in exec_func
res = func(*args, **kwargs)
File "../../../auto_schedule/testing/scheduler.py", line 78, in build_func
s, bufs = schedule_with_config(task_key, configs, op_pos=op_pos)
File "../../../auto_schedule/testing/scheduler.py", line 1711, in schedule_with_config
template(s, op)
File "../../../auto_schedule/testing/scheduler.py", line 1263, in _cuda_schedule_split_reorder_fuse
assert pos < len(spatial_remainder)
AssertionError
op build fail:
<class 'AssertionError'>
Traceback (most recent call last):
File "../../../auto_schedule/testing/scheduler.py", line 161, in exec_func
res = func(*args, **kwargs)
File "../../../auto_schedule/testing/scheduler.py", line 78, in build_func
s, bufs = schedule_with_config(task_key, configs, op_pos=op_pos)
File "../../../auto_schedule/testing/scheduler.py", line 1711, in schedule_with_config
template(s, op)
File "../../../auto_schedule/testing/scheduler.py", line 1263, in _cuda_schedule_split_reorder_fuse
assert pos < len(spatial_remainder)
AssertionError
op build fail:
<class 'AssertionError'>
Traceback (most recent call last):
File "../../../auto_schedule/testing/scheduler.py", line 161, in exec_func
res = func(*args, **kwargs)
File "../../../auto_schedule/testing/scheduler.py", line 78, in build_func
s, bufs = schedule_with_config(task_key, configs, op_pos=op_pos)
File "../../../auto_schedule/testing/scheduler.py", line 1711, in schedule_with_config
template(s, op)
File "../../../auto_schedule/testing/scheduler.py", line 1263, in _cuda_schedule_split_reorder_fuse
assert pos < len(spatial_remainder)
AssertionError
op build fail:
<class 'RuntimeError'>
Traceback (most recent call last):
File "../../../auto_schedule/testing/scheduler.py", line 161, in exec_func
res = func(*args, **kwargs)
File "../../../auto_schedule/testing/scheduler.py", line 82, in build_func
raise RuntimeError("Invalid %s(%d) kernel"%(task.target, task.dev_id))
RuntimeError: Invalid cuda(0) kernel
op build fail:Invalid cuda(0) kernel
- optimize_conv1d.py:
<class 'queue.Empty'>
op run fail:
Traceback (most recent call last):
File "../../../auto_schedule/testing/scheduler.py", line 1525, in get
res = self.q.get(block=True, timeout=timeout)
File "/usr/lib/python3.5/multiprocessing/queues.py", line 105, in get
raise Empty
queue.Empty
<class 'queue.Empty'>
op run fail:
Traceback (most recent call last):
File "../../../auto_schedule/testing/scheduler.py", line 1525, in get
res = self.q.get(block=True, timeout=timeout)
File "/usr/lib/python3.5/multiprocessing/queues.py", line 105, in get
raise Empty
queue.Empty
<class 'queue.Empty'>
op build fail:
Traceback (most recent call last):
File "../../../auto_schedule/testing/scheduler.py", line 1525, in get
res = self.q.get(block=True, timeout=timeout)
File "/usr/lib/python3.5/multiprocessing/queues.py", line 105, in get
raise Empty
queue.Empty
<class 'RuntimeError'>
Traceback (most recent call last):
File "../../../auto_schedule/testing/scheduler.py", line 161, in exec_func
res = func(*args, **kwargs)
File "../../../auto_schedule/testing/scheduler.py", line 82, in build_func
raise RuntimeError("Invalid %s(%d) kernel"%(task.target, task.dev_id))
RuntimeError: Invalid cuda(0) kernel
op build fail:Invalid cuda(0) kernel
- optimize_conv3d.py:
<class 'queue.Empty'>
op run fail:
Traceback (most recent call last):
File "../../../auto_schedule/testing/scheduler.py", line 1525, in get
res = self.q.get(block=True, timeout=timeout)
File "/usr/lib/python3.5/multiprocessing/queues.py", line 105, in get
raise Empty
queue.Empty
<class 'RuntimeError'>
Traceback (most recent call last):
File "../../../auto_schedule/testing/scheduler.py", line 161, in exec_func
res = func(*args, **kwargs)
File "../../../auto_schedule/testing/scheduler.py", line 82, in build_func
raise RuntimeError("Invalid %s(%d) kernel"%(task.target, task.dev_id))
RuntimeError: Invalid cuda(0) kernel
op build fail:Invalid cuda(0) kernel
<class 'RuntimeError'>
Traceback (most recent call last):
File "../../../auto_schedule/testing/scheduler.py", line 161, in exec_func
res = func(*args, **kwargs)
File "../../../auto_schedule/testing/scheduler.py", line 82, in build_func
raise RuntimeError("Invalid %s(%d) kernel"%(task.target, task.dev_id))
RuntimeError: Invalid cuda(0) kernel
op build fail:Invalid cuda(0) kernel
<class 'queue.Empty'>
op run fail:
Traceback (most recent call last):
File "../../../auto_schedule/testing/scheduler.py", line 1525, in get
res = self.q.get(block=True, timeout=timeout)
File "/usr/lib/python3.5/multiprocessing/queues.py", line 105, in get
raise Empty
queue.Empty
<class 'queue.Empty'>
op run fail:
Traceback (most recent call last):
File "../../../auto_schedule/testing/scheduler.py", line 1525, in get
res = self.q.get(block=True, timeout=timeout)
File "/usr/lib/python3.5/multiprocessing/queues.py", line 105, in get
raise Empty
queue.Empty
<class 'RuntimeError'>
Traceback (most recent call last):
File "../../../auto_schedule/testing/scheduler.py", line 161, in exec_func
res = func(*args, **kwargs)
File "../../../auto_schedule/testing/scheduler.py", line 82, in build_func
raise RuntimeError("Invalid %s(%d) kernel"%(task.target, task.dev_id))
RuntimeError: Invalid cuda(0) kernel
op build fail:Invalid cuda(0) kernel
and optimize_conv2d.py didn't output anything even with '--target llvm'
what about using larger timeout?
what about using larger timeout?
timeout seems not the problem.
and now it can work (just not printing the errors occurred while running), but will cost lots of time even with very small size:
> python optimize_block_circulant_matrix.py --target cuda --trials 1 -f 0 -t 1
Optimize block_circulant_matrix shape [4, 4, 2]
[Warning] Directory lib is not empty, but reusing it
warm up [0.007083300000000001, 0.006464, 0.007751500000000001, 0.0065363, 0.0062628, 0.006461500000000001, 0.0064576, 0.0064043, 0.0063421, 0.0063141, 0.0063750000000000005, 0.006407899999999999, 0.011866600000000001, 0.006450900000000001, inf, 0.0065644, 0.0063054, 0.0064706, 0.0065644, inf]
warm up [inf, inf, inf, inf, 0.0064112, 0.006392599999999999, 0.0064315, 0.0064104999999999995, inf, 0.0062635, 0.006321, 0.006320299999999999, 0.0063985000000000005, 0.0063033, 0.0064278, inf, inf, 0.006300300000000001, 0.0062269, inf]
warm up [0.0064101, 0.0064448000000000005, 0.0063631, 0.007027, inf, 0.006403599999999999, inf, inf, 0.0064766, 0.0064311, 0.0063693000000000005, 0.0064363, 0.006487199999999999, 0.0062851, 0.0064302, 0.006335400000000001, 0.0083196, 0.006477500000000001, 0.0065535, 0.0064475]
warm up [inf, inf, inf, 0.006220400000000001, 0.006448199999999999, 0.0064288999999999995, inf, 0.0064307999999999995, inf, inf, 0.0063108999999999995, 0.0064253999999999995, 0.006099299999999999, inf, inf, inf, 0.006558199999999999, 0.0062876, 0.006305, 0.0062185]
warm up [0.008112499999999998, 0.0078879, inf, 0.0062740999999999995, 0.006189600000000001, 0.006297, 0.0064106, 0.0063939, 0.0061207, inf, 0.006435000000000001, 0.0062702, 0.0064082, inf, inf, 0.0063638, inf, 0.006273600000000001, inf, inf]
warm up [0.0063718, 0.0061918, 0.006278000000000001, 0.0065124, 0.0064921, inf, 0.0063358, inf, 0.006427400000000001, 0.006281299999999999, inf, 0.0062742, inf, 0.006248900000000001, 0.0063563000000000005, 0.0064613000000000005, 0.006326299999999999, inf, 0.0063531, 0.006519700000000001]
warm up [0.006386200000000001, inf, 0.0062494, inf, 0.0061993000000000005, inf, inf, inf, 0.0060618, 0.0064849, inf, inf, 0.0062589, 0.006495300000000001, inf, inf, 0.006480700000000001, 0.0064497, 0.0062311, 0.0063677]
warm up [inf, 0.0065378, 0.006537, inf, inf, inf, 0.0063579, inf, inf, 0.0064034, 0.0064146, 0.0063365, 0.008544699999999999, 0.0064088, inf, 0.006318100000000001, inf, 0.006381700000000001, inf, 0.006404999999999999]
warm up [inf, 0.0063349999999999995, inf, inf, inf, 0.0062586, 0.0063199, 0.0063952, 0.0065164, 0.007663199999999999, 0.0061920000000000005, 0.006328899999999999, 0.0062642, 0.0094932, inf, 0.0061995, inf, inf, 0.0062249, inf]
warm up [inf, 0.0062673, inf, 0.0065657, 0.006202999999999999, inf, 0.0063137, 0.0064050999999999995, 0.0062193000000000005, 0.006232, 0.0091248, inf, inf, 0.009152, 0.0062871, 0.009897300000000001, 0.006304199999999999, inf, 0.006332699999999999, inf]
warm up [0.006498, 0.0062131999999999995, 0.006266, 0.0063267, 0.006254699999999999, 0.0064712, inf, 0.0062408, 0.0063660999999999995, 0.0077544, inf, 0.013322400000000002, inf, 0.0064789999999999995, 0.0063253, 0.0062508, inf, 0.006400599999999999, 0.0063792, 0.006376999999999999]
warm up [0.0063227, 0.0062693, inf, inf, 0.006449200000000001, 0.0062986, 0.0065087999999999995, 0.006140999999999999, inf, inf, 0.006313, 0.0071853, 0.006439800000000001, inf, inf, 0.0063146999999999995, inf, 0.0063343, 0.0064743, 0.0063579]
warm up [0.0063525, 0.0063938, inf, 0.006396700000000001, 0.006287, inf, 0.007411699999999999, 0.0064876, inf, 0.0062542000000000006, 0.0072101000000000005, 0.0061522, inf, 0.0064218, 0.006286399999999999, 0.0062363, 0.0064251, 0.0064093, 0.0063159, inf]
warm up [0.008410099999999998, inf, 0.006269800000000001, inf, 0.0063558, inf, 0.0063435, 0.0062767000000000005, 0.006211, 0.0063809, 0.0063004, 0.0063105, inf, 0.006407899999999999, inf, 0.0063117, 0.0073118, inf, 0.0062732, 0.006298499999999999]
warm up [0.006251499999999999, inf, inf, inf, 0.0081808, 0.006171799999999999, 0.0062289, 0.0063598, 0.0063528000000000005, 0.0063484, inf, 0.01064, 0.006321, 0.006316100000000001, 0.0063991000000000004, inf, 0.006380000000000001, inf, 0.0062758, 0.0064681]
warm up [inf, 0.006210000000000001, 0.0063728, inf, inf, 0.0062706, inf, inf, 0.0063704, inf, 0.0062341, 0.006279399999999999, 0.0062827000000000004, 0.0064117, 0.0062369999999999995, 0.0065281, 0.006365800000000001, inf, 0.0063064, inf]
warm up [0.0061773999999999996, 0.0063389, 0.0063579, inf, inf, 0.0065154, 0.0063606, 0.006478900000000001, inf, 0.006403799999999999, inf, 0.006349700000000001, 0.006256599999999999, 0.0062477, inf, inf, 0.006300900000000001, inf, 0.0062264, 0.0064281]
warm up [inf, 0.006420200000000001, inf, 0.006388099999999999, 0.0063001, inf, 0.0063777, inf, 0.0061569, inf, inf, 0.0062355, 0.006297, 0.0064077000000000005, inf, inf, inf, inf, 0.0062155, inf]
warm up [inf, inf, 0.006382199999999999, 0.0063771999999999995, 0.006229500000000001, 0.0064195, 0.006371, inf, inf, 0.0063178, 0.0063653, 0.006546700000000001, inf, 0.0062764, 0.006420200000000001, 0.007281, 0.0064299, 0.0064957999999999995, 0.006444999999999999, 0.006324300000000001]
warm up [0.0061771000000000005, 0.006622200000000001, 0.0063113, inf, inf, 0.0062798, inf, 0.0064188000000000005, inf, 0.0062866, inf, 0.0062929, 0.0062525, 0.0062733, inf, 0.0063481, 0.0062908, inf, 0.006343199999999999, inf]
tune [0.006442, 0.006323199999999999, 0.0063589, 0.0063555999999999994, 0.0063094, 0.0064287, 0.0084313, 0.0063321, 0.006233, 0.0063175, 0.0063054, inf, 0.0062578, 0.0062024]
No. 0 | The best currently 0.0060618 {'split_i_0': 3, 'fuse_spatial': 0, 'split_rv_0': 1, 'split_j_1': 6, 'reorder': 1, 'unroll': 0}
re-evaluate [0.006341899999999999, 0.0061945, 0.0063421, 0.0061644, 0.0061574, 0.0061938, 0.006340900000000001, 0.006220799999999999, 0.0061982, 0.006246099999999999]
warm up [0.0061943]
warm up [0.011500499999999999, inf, 0.022492599999999998, 0.0115172, 0.011916600000000001, 0.0123383, 0.012220199999999999, 0.0115242, 0.0114204, 0.0115723, 0.0115237, 0.011544500000000001, 0.0114637, 0.0114128, 0.0114597, 0.011534399999999998, 0.011541000000000001, 0.011465, 0.0128245, 0.0115488]
warm up [0.0115333, 0.011394699999999999, 0.0115222, 0.0114678, 0.0116342, 0.011524399999999999, 0.0116779, 0.0114273, 0.0112983, 0.011492100000000002, 0.011622200000000001, 0.0113376, 0.0115941, 0.011397, 0.0114708, 0.0115291, 0.0115697, 0.011483499999999999, 0.0117066, 0.0113839]
warm up [0.0113981, 0.0112635, 0.0117511, 0.011498900000000001, 0.0116242, 0.011514300000000002, 0.011450799999999999, 0.015381800000000003, 0.0115315, 0.0115271, 0.0116127, 0.0115222, 0.0125229, 0.0114495, 0.0115294, 0.0115021, 0.0116203, 0.0117141, 0.0124191, 0.0115375]
warm up [0.0116583, 0.011547700000000001, 0.011579800000000001, 0.0115844, 0.0115934, 0.011701399999999999, 0.0114499, 0.011386700000000001, 0.011611400000000001, 0.011308599999999999, 0.0114728, 0.0116201, 0.0114135, 0.0125809, 0.0115216, 0.011618800000000002, 0.01156, 0.0115158, 0.0111957, 0.011623199999999998]
warm up [0.0113278, 0.0114328, 0.0147618, 0.0127592, 0.0114791, 0.0114984, 0.011471700000000001, 0.0115208, 0.011519099999999999, 0.012255499999999999, 0.0114381, 0.011352800000000001, 0.011542700000000001, 0.0122259, 0.0115751, 0.0115245, 0.011482500000000001, 0.012905400000000001, 0.0115303, 0.015014399999999999]
warm up [0.0114268, 0.011610899999999999, 0.0115214, 0.0114587, 0.0142167, 0.011419899999999998, 0.0114874, 0.011509799999999999, 0.0114459, 0.0115511, 0.011282599999999999, 0.011339599999999998, 0.012604900000000002, 0.011475899999999999, 0.011403, 0.0115129, 0.011601599999999998, 0.0115519, 0.013524000000000001, 0.0113635]
warm up [0.0114793, 0.013215399999999999, 0.0113629, 0.0115436, 0.0115125, 0.0132463, 0.011457700000000001, 0.0116055, 0.011580199999999999, 0.0114112, 0.011480800000000001, 0.0129048, 0.011589299999999999, 0.0194007, 0.0115516, 0.0115079, 0.011440800000000001, 0.0114694, 0.0116306, 0.0116335]
warm up [0.0114472, 0.0114211, 0.0112735, 0.0111394, 0.0125611, 0.011395, 0.011654999999999999, 0.0115994, 0.0115591, 0.0114128, 0.011524399999999999, 0.0115822, 0.0114597, 0.0115008, 0.011641, 0.0116263, 0.011534199999999998, 0.015471799999999999, 0.0115268, 0.0117065]
warm up [0.011654099999999999, 0.011567, 0.0115918, 0.011505099999999999, 0.0115801, 0.0113497, 0.0113449, 0.011415699999999999, 0.0114186, 0.011573700000000001, 0.011448, 0.0115635, 0.011463099999999999, 0.011443700000000001, 0.0113925, 0.0114186, 0.011469, 0.0117475, 0.011345000000000001, 0.011388]
warm up [0.0118748, 0.012604500000000001, 0.0114779, 0.0115172, 0.0126965, 0.0113351, 0.0113757, 0.01178, 0.0111924, 0.0115235, 0.011256, 0.011542, 0.011473400000000002, 0.0115742, 0.0121977, 0.0114478, 0.011503, 0.0112642, 0.0159121, 0.0114783]
warm up [0.0148706, 0.0114164, 0.0115958, 0.014794100000000001, 0.0115449, 0.01236, 0.0115706, 0.0114713, 0.011473400000000002, 0.01151, 0.0123642, 0.011489000000000001, 0.0115911, 0.011644, 0.011409, 0.011473500000000001, 0.0114863, 0.0115932, 0.0115272, 0.011482800000000001]
warm up [0.0114968, 0.011498900000000001, 0.0114763, 0.0115116, 0.011514, 0.0113255, 0.011542799999999999, 0.0114728, 0.0115409, 0.0113868, 0.0115981, 0.0114767, 0.0114099, 0.0116642, 0.011417199999999999, 0.0113578, 0.0114883, 0.0114944, 0.0115243, 0.0114912]
warm up [0.0116087, 0.011536, 0.011164, 0.0115313, 0.011340900000000001, 0.0114449, 0.011500699999999999, 0.0113875, 0.0122908, 0.0112992, 0.0113757, 0.0113743, 0.012242099999999999, 0.0114319, 0.0114503, 0.0116017, 0.0114278, 0.0115075, 0.011557600000000001, 0.0116172]
warm up [0.011553800000000001, 0.0114223, 0.011616399999999999, 0.011518899999999999, 0.011501200000000001, 0.011314399999999999, 0.0115691, 0.0112667, 0.0115249, 0.011447699999999998, 0.0114765, 0.0114526, 0.0115122, 0.0115126, 0.0116367, 0.0121897, 0.0114861, 0.0113846, 0.011593299999999999, 0.0113712]
warm up [0.0117272, 0.0114012, 0.0115385, 0.0115648, 0.0114838, 0.0114557, 0.011497199999999999, 0.0115337, 0.0113641, 0.0114012, 0.0113357, 0.0115033, 0.011585699999999999, 0.011422999999999999, 0.0115172, 0.0116538, 0.011584500000000001, 0.0113703, 0.011584700000000002, 0.011586099999999998]
warm up [0.011331800000000001, 0.0113648, 0.011450199999999999, 0.0115866, 0.011609300000000001, 0.0115085, 0.011460399999999999, 0.0113645, 0.011511, 0.0113787, 0.0116293, 0.0115092, 0.011576999999999999, 0.011548200000000002, 0.0114719, 0.0115043, 0.0115031, 0.0115176, 0.0113299, 0.0114383]
warm up [0.0115395, 0.0127575, 0.0115487, 0.011497499999999999, 0.011570500000000001, 0.0112606, 0.011420600000000001, 0.015881199999999998, 0.0115979, 0.011497499999999999, 0.0114878, 0.011523400000000001, 0.011457199999999999, 0.011493499999999999, 0.011422899999999998, 0.0115382, 0.0113413, 0.0114917, 0.011321, 0.0115566]
warm up [0.011595, 0.011412, 0.0114675, 0.011336399999999998, 0.0115919, 0.011567899999999999, 0.011398499999999999, 0.011538, 0.0116166, 0.0114214, 0.0115207, 0.011419899999999998, 0.0115288, 0.0113048, 0.0115864, 0.0115192, 0.0115194, 0.0116142, 0.0116123, 0.0115168]
warm up [0.0115204, 0.0115267, 0.011567, 0.0114662, 0.0114197, 0.0114327, 0.0113663, 0.0114291, 0.0113539, 0.011504400000000001, 0.011306400000000001, 0.0115213, 0.011326, 0.0114752, 0.0114722, 0.011554, 0.0114023, 0.011356400000000001, 0.0116396, 0.011422999999999999]
warm up [0.011430200000000001, 0.011306, 0.0114541, 0.0116057, 0.0115376, 0.011612500000000001, 0.0114974, 0.0115052, 0.0113607, 0.011363400000000001, 0.011529000000000001, 0.011487, 0.0115136, 0.0113495, 0.0112876, 0.0115407, 0.011471, 0.0114644, 0.0115503, 0.0114737]
tune [0.01136, 0.0115447, 0.0114685, 0.0114824, 0.011626999999999998, 0.011369100000000002, 0.012512, 0.0115327, 0.0115275, 0.011429199999999999, 0.0115436, 0.011479600000000001, 0.011467900000000001, 0.0114133, 0.0115128, 0.011461, 0.011464900000000002, 0.011367599999999999, 0.0116429, 0.0116106, 0.0115998, 0.0114078, 0.011388999999999998, 0.0113518, 0.0115277, 0.011441699999999999, 0.0114129, 0.011560100000000002, 0.0113536, 0.0115604]
No. 0 | The best currently 0.0111394 {'unroll': 7, 'split_i_0': 1, 'reorder': 1, 'split_j_1': 6, 'fuse_spatial': 0}
re-evaluate [0.011503, 0.011508800000000001, 0.011608, 0.0116181, 0.015582, 0.0115897, 0.0115874, 0.011503399999999999, 0.0117333, 0.0115564]
warm up [0.0115369]
warm up [0.0115364, 0.0151397, 0.0115419, 0.019299, 0.011515099999999999, 0.0115147, 0.0115082, 0.011355299999999999, 0.011574599999999999, 0.0115365, 0.0116082, 0.0115849, 0.011484799999999998, 0.0158087, 0.011473400000000002, 0.0114339, 0.0135589, 0.0114872, 0.0112671, 0.0115515]
warm up [0.011524999999999999, 0.0115094, 0.011421500000000001, 0.0116122, 0.011549199999999999, 0.011252999999999999, 0.0113669, 0.0114537, 0.0113569, 0.011374200000000001, 0.0113432, 0.011527599999999999, 0.0112494, 0.011324299999999999, 0.0116436, 0.0115185, 0.011574599999999999, 0.011610899999999999, 0.0113317, 0.011493999999999999]
warm up [0.0112526, 0.0114544, 0.011552999999999999, 0.011431799999999999, 0.011566, 0.0115684, 0.0114051, 0.011356600000000001, 0.011426099999999998, 0.011589, 0.011469499999999999, 0.0113726, 0.0114478, 0.0115672, 0.011477000000000001, 0.011470200000000002, 0.011482, 0.0113797, 0.0114838, 0.0116733]
warm up [0.011356000000000002, 0.014284399999999997, 0.01149, 0.0113663, 0.0116365, 0.011595900000000001, 0.011469299999999998, 0.011453799999999998, 0.011365300000000002, 0.0115019, 0.016056800000000003, 0.011621800000000002, 0.011562900000000001, 0.0113546, 0.0113708, 0.0113758, 0.011487, 0.011534599999999999, 0.0115563, 0.0116366]
warm up [0.0114355, 0.0115227, 0.011450899999999998, 0.0113635, 0.0115111, 0.0114423, 0.011386199999999999, 0.0113816, 0.0123339, 0.0113624, 0.011483, 0.0114947, 0.0115552, 0.0147223, 0.011614099999999999, 0.0114591, 0.0114638, 0.011360499999999999, 0.0114373, 0.0113834]
warm up [0.0113568, 0.0115223, 0.0112571, 0.0115489, 0.0115414, 0.0115974, 0.0115153, 0.0152776, 0.011439500000000002, 0.0114576, 0.0113051, 0.011413799999999998, 0.0115678, 0.011434600000000001, 0.0115989, 0.0114998, 0.013962999999999998, 0.0114419, 0.0115345, 0.0114282]
warm up [0.011522, 0.0113229, 0.0114128, 0.0114849, 0.0114527, 0.01158, 0.0113902, 0.0115369, 0.0115663, 0.0171739, 0.011471100000000001, 0.0112623, 0.0115704, 0.0115852, 0.0114871, 0.0115453, 0.0114135, 0.0114156, 0.0114088, 0.011419]
warm up [0.01144, 0.0116348, 0.0114434, 0.0112878, 0.01156, 0.0116043, 0.0115739, 0.011538300000000001, 0.0113702, 0.0147641, 0.0113781, 0.0115275, 0.0114235, 0.0114387, 0.011503399999999999, 0.0114947, 0.011493, 0.0113284, 0.011349900000000001, 0.0115156]
warm up [0.011481799999999999, 0.011291899999999999, 0.011387099999999999, 0.0115471, 0.011545399999999999, 0.0113253, 0.0112644, 0.01132, 0.0114836, 0.0114497, 0.0115133, 0.011541000000000001, 0.0112522, 0.0115195, 0.0113927, 0.011347300000000001, 0.011527999999999998, 0.0114936, 0.011524399999999999, 0.0116087]
warm up [0.0115691, 0.011464900000000002, 0.0114745, 0.011473200000000001, 0.0116399, 0.011601799999999999, 0.0115295, 0.0114801, 0.011493, 0.0114629, 0.0113794, 0.0114452, 0.011571399999999999, 0.011408600000000001, 0.0113888, 0.0113151, 0.011436300000000002, 0.0115784, 0.0114698, 0.0115162]
warm up [0.0115441, 0.011425900000000001, 0.0114249, 0.0113515, 0.0113853, 0.011278400000000001, 0.01141, 0.0112019, 0.011447299999999999, 0.011509499999999999, 0.011519800000000002, 0.0115107, 0.0112862, 0.0115356, 0.0115782, 0.0114337, 0.01144, 0.011503900000000001, 0.011652800000000001, 0.011492700000000002]
warm up [0.0116035, 0.0115309, 0.0114396, 0.0160267, 0.011450700000000001, 0.0114896, 0.0113498, 0.011294100000000001, 0.011558299999999999, 0.0115532, 0.0112942, 0.01142, 0.0123225, 0.0115269, 0.0116017, 0.0116005, 0.011541000000000001, 0.0114501, 0.014915, 0.0115313]
warm up [0.0119462, 0.011448600000000001, 0.0114382, 0.0114384, 0.0116113, 0.01535, 0.0115241, 0.0115529, 0.0113372, 0.011395099999999998, 0.0113044, 0.0115068, 0.0124498, 0.0115059, 0.0115539, 0.0115369, 0.0116501, 0.0114775, 0.0112436, 0.0116285]
warm up [0.0115082, 0.0115965, 0.0111915, 0.0114787, 0.0113429, 0.0116133, 0.0115759, 0.0115294, 0.011281, 0.011419499999999999, 0.0112998, 0.011492500000000001, 0.011561499999999999, 0.0115756, 0.012422600000000002, 0.011502000000000002, 0.0112718, 0.01148, 0.0114769, 0.0121826]
warm up [0.0115257, 0.0115172, 0.0115641, 0.0115464, 0.0114497, 0.011382, 0.0115862, 0.0122358, 0.011521899999999998, 0.0113242, 0.0114885, 0.011396900000000001, 0.0115142, 0.011334, 0.0113848, 0.0114517, 0.0114698, 0.0113964, 0.0146482, 0.0115681]
warm up [0.0115086, 0.0116601, 0.0114141, 0.011340300000000001, 0.0114907, 0.0114594, 0.0114588, 0.011370499999999999, 0.011475899999999999, 0.0114323, 0.0123773, 0.0114826, 0.0127367, 0.011562900000000001, 0.011380800000000002, 0.0114696, 0.011489899999999999, 0.0114019, 0.0114173, 0.011320499999999999]
warm up [0.0115964, 0.0114328, 0.0114885, 0.011623399999999999, 0.0114162, 0.0115886, 0.0115008, 0.0114966, 0.0114544, 0.011373, 0.0115375, 0.011612, 0.011469299999999998, 0.0115104, 0.0115752, 0.011651799999999999, 0.0115388, 0.0115689, 0.011479, 0.0124621]
warm up [0.011322700000000002, 0.0112694, 0.012187300000000002, 0.0117535, 0.0143264, 0.0115169, 0.011315700000000001, 0.0113154, 0.0114203, 0.0114637, 0.011294100000000001, 0.011509599999999998, 0.011348899999999999, 0.012311700000000002, 0.0116084, 0.0114198, 0.011453, 0.0114603, 0.011722799999999998, 0.0113456]
warm up [0.011503399999999999, 0.011470000000000001, 0.0115983, 0.011604, 0.011559900000000001, 0.0113911, 0.0116183, 0.014966, 0.0115236, 0.0114546, 0.0114336, 0.011576000000000001, 0.0113359, 0.011425300000000001, 0.0113755, 0.0139666, 0.011534399999999998, 0.011616900000000001, 0.011325, 0.0113217]
warm up [0.0115041, 0.0113348, 0.011453399999999999, 0.0116374, 0.011352600000000001, 0.0114614, 0.0113532, 0.011317899999999999, 0.0115519, 0.014837399999999999, 0.011455000000000002, 0.011388899999999999, 0.0114763, 0.011356400000000001, 0.011335799999999998, 0.011438799999999999, 0.0113746, 0.011519099999999999, 0.011398499999999999, 0.011542]
tune []
No. 0 | The best currently 0.0111915 {'merge': 0, 'inline': 0}
re-evaluate [0.011395099999999998, 0.0115397, 0.011388200000000001, 0.011325, 0.0115052, 0.0114513, 0.012325199999999998, 0.011347300000000001, 0.0116181, 0.0127767]
warm up [0.0115194]
tune []
No. 1 | The best currently 0.0112671 {'merge': 3, 'inline': 0}
re-evaluate [0.0115996, 0.011560500000000001, 0.0116746, 0.0116094, 0.0113551, 0.011467300000000001, 0.0114994, 0.0115478, 0.011421500000000001, 0.0115082]
warm up [0.0113515]
tune []
No. 2 | The best currently 0.0112942 {'merge': 0, 'inline': 0}
re-evaluate [0.0115762, 0.011411500000000002, 0.0115168, 0.0115485, 0.0114256, 0.0115784, 0.011716899999999999, 0.0124064, 0.0162457, 0.0115833]
warm up [0.011349099999999999]
tune []
No. 3 | The best currently 0.0113217 {'merge': 3, 'inline': 0}
re-evaluate [0.011448700000000001, 0.0113547, 0.0115209, 0.0115766, 0.0114565, 0.0116364, 0.0114797, 0.0124907, 0.0113638, 0.0114947]
warm up [0.0114351]
tune []
No. 4 | The best currently 0.011334 {'merge': 2, 'inline': 0}
Early stop after continuous no trials 5 times
######################################
op schedules:
----------------------------------
spatial [[1, 1, 1, 2], [1, 1, 1, 4]]
reduce [[1, 1, 2]]
fuse [[1, 2, 2]]
unroll [[1500, 0]]
reorder [[1]]
----------------------------------
spatial [[1, 1, 2, 2], [1, 1, 2, 2]]
fuse [[1, 2, 2]]
unroll [[1, 0]]
reorder [[0]]
graph schedules:
merge [[0, 1]]
inline [[0, 0]]
block_circulant_matrix_block_circulant_matrix_(4, 4, 2)_cuda(0):[[{"spatial": [[1, 1, 1, 2], [1, 1, 1, 4]], "reduce": [[1, 1, 2]], "fuse": [[1, 2, 2]], "merge": [], "unroll": [[1500, 0]], "inline": [], "reorder": [[1]]}, {"spatial": [[1, 1, 2, 2], [1, 1, 2, 2]], "reduce": [], "fuse": [[1, 2, 2]], "merge": [], "unroll": [[1, 0]], "inline": [], "reorder": [[0]]}], {"spatial": [], "reduce": [], "fuse": [], "merge": [[0, 1]], "unroll": [], "inline": [[0, 0]], "reorder": []}]
Use 0.011493 ms
Cost 3911.8264739513397 s
use --parallel to utilize multiprocessing to accelerate
发自我的小米手机
在 Light-of-Hers <notifications@github.com>，2019年6月30日 20:13写道：
what about using larger timeout?
timeout seems not the problem.
and now it can work (just not printing the errors occurred while running), but will cost lots of time even with very small size:
python optimize_block_circulant_matrix.py --target cuda --trials 1 -f 0 -t 1
Optimize block_circulant_matrix shape [4, 4, 2]
[Warning] Directory lib is not empty, but reusing it
warm up [0.007083300000000001, 0.006464, 0.007751500000000001, 0.0065363, 0.0062628, 0.006461500000000001, 0.0064576, 0.0064043, 0.0063421, 0.0063141, 0.0063750000000000005, 0.006407899999999999, 0.011866600000000001, 0.006450900000000001, inf, 0.0065644, 0.0063054, 0.0064706, 0.0065644, inf]
warm up [inf, inf, inf, inf, 0.0064112, 0.006392599999999999, 0.0064315, 0.0064104999999999995, inf, 0.0062635, 0.006321, 0.006320299999999999, 0.0063985000000000005, 0.0063033, 0.0064278, inf, inf, 0.006300300000000001, 0.0062269, inf]
warm up [0.0064101, 0.0064448000000000005, 0.0063631, 0.007027, inf, 0.006403599999999999, inf, inf, 0.0064766, 0.0064311, 0.0063693000000000005, 0.0064363, 0.006487199999999999, 0.0062851, 0.0064302, 0.006335400000000001, 0.0083196, 0.006477500000000001, 0.0065535, 0.0064475]
warm up [inf, inf, inf, 0.006220400000000001, 0.006448199999999999, 0.0064288999999999995, inf, 0.0064307999999999995, inf, inf, 0.0063108999999999995, 0.0064253999999999995, 0.006099299999999999, inf, inf, inf, 0.006558199999999999, 0.0062876, 0.006305, 0.0062185]
warm up [0.008112499999999998, 0.0078879, inf, 0.0062740999999999995, 0.006189600000000001, 0.006297, 0.0064106, 0.0063939, 0.0061207, inf, 0.006435000000000001, 0.0062702, 0.0064082, inf, inf, 0.0063638, inf, 0.006273600000000001, inf, inf]
warm up [0.0063718, 0.0061918, 0.006278000000000001, 0.0065124, 0.0064921, inf, 0.0063358, inf, 0.006427400000000001, 0.006281299999999999, inf, 0.0062742, inf, 0.006248900000000001, 0.0063563000000000005, 0.0064613000000000005, 0.006326299999999999, inf, 0.0063531, 0.006519700000000001]
warm up [0.006386200000000001, inf, 0.0062494, inf, 0.0061993000000000005, inf, inf, inf, 0.0060618, 0.0064849, inf, inf, 0.0062589, 0.006495300000000001, inf, inf, 0.006480700000000001, 0.0064497, 0.0062311, 0.0063677]
warm up [inf, 0.0065378, 0.006537, inf, inf, inf, 0.0063579, inf, inf, 0.0064034, 0.0064146, 0.0063365, 0.008544699999999999, 0.0064088, inf, 0.006318100000000001, inf, 0.006381700000000001, inf, 0.006404999999999999]
warm up [inf, 0.0063349999999999995, inf, inf, inf, 0.0062586, 0.0063199, 0.0063952, 0.0065164, 0.007663199999999999, 0.0061920000000000005, 0.006328899999999999, 0.0062642, 0.0094932, inf, 0.0061995, inf, inf, 0.0062249, inf]
warm up [inf, 0.0062673, inf, 0.0065657, 0.006202999999999999, inf, 0.0063137, 0.0064050999999999995, 0.0062193000000000005, 0.006232, 0.0091248, inf, inf, 0.009152, 0.0062871, 0.009897300000000001, 0.006304199999999999, inf, 0.006332699999999999, inf]
warm up [0.006498, 0.0062131999999999995, 0.006266, 0.0063267, 0.006254699999999999, 0.0064712, inf, 0.0062408, 0.0063660999999999995, 0.0077544, inf, 0.013322400000000002, inf, 0.0064789999999999995, 0.0063253, 0.0062508, inf, 0.006400599999999999, 0.0063792, 0.006376999999999999]
warm up [0.0063227, 0.0062693, inf, inf, 0.006449200000000001, 0.0062986, 0.0065087999999999995, 0.006140999999999999, inf, inf, 0.006313, 0.0071853, 0.006439800000000001, inf, inf, 0.0063146999999999995, inf, 0.0063343, 0.0064743, 0.0063579]
warm up [0.0063525, 0.0063938, inf, 0.006396700000000001, 0.006287, inf, 0.007411699999999999, 0.0064876, inf, 0.0062542000000000006, 0.0072101000000000005, 0.0061522, inf, 0.0064218, 0.006286399999999999, 0.0062363, 0.0064251, 0.0064093, 0.0063159, inf]
warm up [0.008410099999999998, inf, 0.006269800000000001, inf, 0.0063558, inf, 0.0063435, 0.0062767000000000005, 0.006211, 0.0063809, 0.0063004, 0.0063105, inf, 0.006407899999999999, inf, 0.0063117, 0.0073118, inf, 0.0062732, 0.006298499999999999]
warm up [0.006251499999999999, inf, inf, inf, 0.0081808, 0.006171799999999999, 0.0062289, 0.0063598, 0.0063528000000000005, 0.0063484, inf, 0.01064, 0.006321, 0.006316100000000001, 0.0063991000000000004, inf, 0.006380000000000001, inf, 0.0062758, 0.0064681]
warm up [inf, 0.006210000000000001, 0.0063728, inf, inf, 0.0062706, inf, inf, 0.0063704, inf, 0.0062341, 0.006279399999999999, 0.0062827000000000004, 0.0064117, 0.0062369999999999995, 0.0065281, 0.006365800000000001, inf, 0.0063064, inf]
warm up [0.0061773999999999996, 0.0063389, 0.0063579, inf, inf, 0.0065154, 0.0063606, 0.006478900000000001, inf, 0.006403799999999999, inf, 0.006349700000000001, 0.006256599999999999, 0.0062477, inf, inf, 0.006300900000000001, inf, 0.0062264, 0.0064281]
warm up [inf, 0.006420200000000001, inf, 0.006388099999999999, 0.0063001, inf, 0.0063777, inf, 0.0061569, inf, inf, 0.0062355, 0.006297, 0.0064077000000000005, inf, inf, inf, inf, 0.0062155, inf]
warm up [inf, inf, 0.006382199999999999, 0.0063771999999999995, 0.006229500000000001, 0.0064195, 0.006371, inf, inf, 0.0063178, 0.0063653, 0.006546700000000001, inf, 0.0062764, 0.006420200000000001, 0.007281, 0.0064299, 0.0064957999999999995, 0.006444999999999999, 0.006324300000000001]
warm up [0.0061771000000000005, 0.006622200000000001, 0.0063113, inf, inf, 0.0062798, inf, 0.0064188000000000005, inf, 0.0062866, inf, 0.0062929, 0.0062525, 0.0062733, inf, 0.0063481, 0.0062908, inf, 0.006343199999999999, inf]
tune [0.006442, 0.006323199999999999, 0.0063589, 0.0063555999999999994, 0.0063094, 0.0064287, 0.0084313, 0.0063321, 0.006233, 0.0063175, 0.0063054, inf, 0.0062578, 0.0062024]
No. 0 | The best currently 0.0060618 {'split_i_0': 3, 'fuse_spatial': 0, 'split_rv_0': 1, 'split_j_1': 6, 'reorder': 1, 'unroll': 0}
re-evaluate [0.006341899999999999, 0.0061945, 0.0063421, 0.0061644, 0.0061574, 0.0061938, 0.006340900000000001, 0.006220799999999999, 0.0061982, 0.006246099999999999]
warm up [0.0061943]
warm up [0.011500499999999999, inf, 0.022492599999999998, 0.0115172, 0.011916600000000001, 0.0123383, 0.012220199999999999, 0.0115242, 0.0114204, 0.0115723, 0.0115237, 0.011544500000000001, 0.0114637, 0.0114128, 0.0114597, 0.011534399999999998, 0.011541000000000001, 0.011465, 0.0128245, 0.0115488]
warm up [0.0115333, 0.011394699999999999, 0.0115222, 0.0114678, 0.0116342, 0.011524399999999999, 0.0116779, 0.0114273, 0.0112983, 0.011492100000000002, 0.011622200000000001, 0.0113376, 0.0115941, 0.011397, 0.0114708, 0.0115291, 0.0115697, 0.011483499999999999, 0.0117066, 0.0113839]
warm up [0.0113981, 0.0112635, 0.0117511, 0.011498900000000001, 0.0116242, 0.011514300000000002, 0.011450799999999999, 0.015381800000000003, 0.0115315, 0.0115271, 0.0116127, 0.0115222, 0.0125229, 0.0114495, 0.0115294, 0.0115021, 0.0116203, 0.0117141, 0.0124191, 0.0115375]
warm up [0.0116583, 0.011547700000000001, 0.011579800000000001, 0.0115844, 0.0115934, 0.011701399999999999, 0.0114499, 0.011386700000000001, 0.011611400000000001, 0.011308599999999999, 0.0114728, 0.0116201, 0.0114135, 0.0125809, 0.0115216, 0.011618800000000002, 0.01156, 0.0115158, 0.0111957, 0.011623199999999998]
warm up [0.0113278, 0.0114328, 0.0147618, 0.0127592, 0.0114791, 0.0114984, 0.011471700000000001, 0.0115208, 0.011519099999999999, 0.012255499999999999, 0.0114381, 0.011352800000000001, 0.011542700000000001, 0.0122259, 0.0115751, 0.0115245, 0.011482500000000001, 0.012905400000000001, 0.0115303, 0.015014399999999999]
warm up [0.0114268, 0.011610899999999999, 0.0115214, 0.0114587, 0.0142167, 0.011419899999999998, 0.0114874, 0.011509799999999999, 0.0114459, 0.0115511, 0.011282599999999999, 0.011339599999999998, 0.012604900000000002, 0.011475899999999999, 0.011403, 0.0115129, 0.011601599999999998, 0.0115519, 0.013524000000000001, 0.0113635]
warm up [0.0114793, 0.013215399999999999, 0.0113629, 0.0115436, 0.0115125, 0.0132463, 0.011457700000000001, 0.0116055, 0.011580199999999999, 0.0114112, 0.011480800000000001, 0.0129048, 0.011589299999999999, 0.0194007, 0.0115516, 0.0115079, 0.011440800000000001, 0.0114694, 0.0116306, 0.0116335]
warm up [0.0114472, 0.0114211, 0.0112735, 0.0111394, 0.0125611, 0.011395, 0.011654999999999999, 0.0115994, 0.0115591, 0.0114128, 0.011524399999999999, 0.0115822, 0.0114597, 0.0115008, 0.011641, 0.0116263, 0.011534199999999998, 0.015471799999999999, 0.0115268, 0.0117065]
warm up [0.011654099999999999, 0.011567, 0.0115918, 0.011505099999999999, 0.0115801, 0.0113497, 0.0113449, 0.011415699999999999, 0.0114186, 0.011573700000000001, 0.011448, 0.0115635, 0.011463099999999999, 0.011443700000000001, 0.0113925, 0.0114186, 0.011469, 0.0117475, 0.011345000000000001, 0.011388]
warm up [0.0118748, 0.012604500000000001, 0.0114779, 0.0115172, 0.0126965, 0.0113351, 0.0113757, 0.01178, 0.0111924, 0.0115235, 0.011256, 0.011542, 0.011473400000000002, 0.0115742, 0.0121977, 0.0114478, 0.011503, 0.0112642, 0.0159121, 0.0114783]
warm up [0.0148706, 0.0114164, 0.0115958, 0.014794100000000001, 0.0115449, 0.01236, 0.0115706, 0.0114713, 0.011473400000000002, 0.01151, 0.0123642, 0.011489000000000001, 0.0115911, 0.011644, 0.011409, 0.011473500000000001, 0.0114863, 0.0115932, 0.0115272, 0.011482800000000001]
warm up [0.0114968, 0.011498900000000001, 0.0114763, 0.0115116, 0.011514, 0.0113255, 0.011542799999999999, 0.0114728, 0.0115409, 0.0113868, 0.0115981, 0.0114767, 0.0114099, 0.0116642, 0.011417199999999999, 0.0113578, 0.0114883, 0.0114944, 0.0115243, 0.0114912]
warm up [0.0116087, 0.011536, 0.011164, 0.0115313, 0.011340900000000001, 0.0114449, 0.011500699999999999, 0.0113875, 0.0122908, 0.0112992, 0.0113757, 0.0113743, 0.012242099999999999, 0.0114319, 0.0114503, 0.0116017, 0.0114278, 0.0115075, 0.011557600000000001, 0.0116172]
warm up [0.011553800000000001, 0.0114223, 0.011616399999999999, 0.011518899999999999, 0.011501200000000001, 0.011314399999999999, 0.0115691, 0.0112667, 0.0115249, 0.011447699999999998, 0.0114765, 0.0114526, 0.0115122, 0.0115126, 0.0116367, 0.0121897, 0.0114861, 0.0113846, 0.011593299999999999, 0.0113712]
warm up [0.0117272, 0.0114012, 0.0115385, 0.0115648, 0.0114838, 0.0114557, 0.011497199999999999, 0.0115337, 0.0113641, 0.0114012, 0.0113357, 0.0115033, 0.011585699999999999, 0.011422999999999999, 0.0115172, 0.0116538, 0.011584500000000001, 0.0113703, 0.011584700000000002, 0.011586099999999998]
warm up [0.011331800000000001, 0.0113648, 0.011450199999999999, 0.0115866, 0.011609300000000001, 0.0115085, 0.011460399999999999, 0.0113645, 0.011511, 0.0113787, 0.0116293, 0.0115092, 0.011576999999999999, 0.011548200000000002, 0.0114719, 0.0115043, 0.0115031, 0.0115176, 0.0113299, 0.0114383]
warm up [0.0115395, 0.0127575, 0.0115487, 0.011497499999999999, 0.011570500000000001, 0.0112606, 0.011420600000000001, 0.015881199999999998, 0.0115979, 0.011497499999999999, 0.0114878, 0.011523400000000001, 0.011457199999999999, 0.011493499999999999, 0.011422899999999998, 0.0115382, 0.0113413, 0.0114917, 0.011321, 0.0115566]
warm up [0.011595, 0.011412, 0.0114675, 0.011336399999999998, 0.0115919, 0.011567899999999999, 0.011398499999999999, 0.011538, 0.0116166, 0.0114214, 0.0115207, 0.011419899999999998, 0.0115288, 0.0113048, 0.0115864, 0.0115192, 0.0115194, 0.0116142, 0.0116123, 0.0115168]
warm up [0.0115204, 0.0115267, 0.011567, 0.0114662, 0.0114197, 0.0114327, 0.0113663, 0.0114291, 0.0113539, 0.011504400000000001, 0.011306400000000001, 0.0115213, 0.011326, 0.0114752, 0.0114722, 0.011554, 0.0114023, 0.011356400000000001, 0.0116396, 0.011422999999999999]
warm up [0.011430200000000001, 0.011306, 0.0114541, 0.0116057, 0.0115376, 0.011612500000000001, 0.0114974, 0.0115052, 0.0113607, 0.011363400000000001, 0.011529000000000001, 0.011487, 0.0115136, 0.0113495, 0.0112876, 0.0115407, 0.011471, 0.0114644, 0.0115503, 0.0114737]
tune [0.01136, 0.0115447, 0.0114685, 0.0114824, 0.011626999999999998, 0.011369100000000002, 0.012512, 0.0115327, 0.0115275, 0.011429199999999999, 0.0115436, 0.011479600000000001, 0.011467900000000001, 0.0114133, 0.0115128, 0.011461, 0.011464900000000002, 0.011367599999999999, 0.0116429, 0.0116106, 0.0115998, 0.0114078, 0.011388999999999998, 0.0113518, 0.0115277, 0.011441699999999999, 0.0114129, 0.011560100000000002, 0.0113536, 0.0115604]
No. 0 | The best currently 0.0111394 {'unroll': 7, 'split_i_0': 1, 'reorder': 1, 'split_j_1': 6, 'fuse_spatial': 0}
re-evaluate [0.011503, 0.011508800000000001, 0.011608, 0.0116181, 0.015582, 0.0115897, 0.0115874, 0.011503399999999999, 0.0117333, 0.0115564]
warm up [0.0115369]
warm up [0.0115364, 0.0151397, 0.0115419, 0.019299, 0.011515099999999999, 0.0115147, 0.0115082, 0.011355299999999999, 0.011574599999999999, 0.0115365, 0.0116082, 0.0115849, 0.011484799999999998, 0.0158087, 0.011473400000000002, 0.0114339, 0.0135589, 0.0114872, 0.0112671, 0.0115515]
warm up [0.011524999999999999, 0.0115094, 0.011421500000000001, 0.0116122, 0.011549199999999999, 0.011252999999999999, 0.0113669, 0.0114537, 0.0113569, 0.011374200000000001, 0.0113432, 0.011527599999999999, 0.0112494, 0.011324299999999999, 0.0116436, 0.0115185, 0.011574599999999999, 0.011610899999999999, 0.0113317, 0.011493999999999999]
warm up [0.0112526, 0.0114544, 0.011552999999999999, 0.011431799999999999, 0.011566, 0.0115684, 0.0114051, 0.011356600000000001, 0.011426099999999998, 0.011589, 0.011469499999999999, 0.0113726, 0.0114478, 0.0115672, 0.011477000000000001, 0.011470200000000002, 0.011482, 0.0113797, 0.0114838, 0.0116733]
warm up [0.011356000000000002, 0.014284399999999997, 0.01149, 0.0113663, 0.0116365, 0.011595900000000001, 0.011469299999999998, 0.011453799999999998, 0.011365300000000002, 0.0115019, 0.016056800000000003, 0.011621800000000002, 0.011562900000000001, 0.0113546, 0.0113708, 0.0113758, 0.011487, 0.011534599999999999, 0.0115563, 0.0116366]
warm up [0.0114355, 0.0115227, 0.011450899999999998, 0.0113635, 0.0115111, 0.0114423, 0.011386199999999999, 0.0113816, 0.0123339, 0.0113624, 0.011483, 0.0114947, 0.0115552, 0.0147223, 0.011614099999999999, 0.0114591, 0.0114638, 0.011360499999999999, 0.0114373, 0.0113834]
warm up [0.0113568, 0.0115223, 0.0112571, 0.0115489, 0.0115414, 0.0115974, 0.0115153, 0.0152776, 0.011439500000000002, 0.0114576, 0.0113051, 0.011413799999999998, 0.0115678, 0.011434600000000001, 0.0115989, 0.0114998, 0.013962999999999998, 0.0114419, 0.0115345, 0.0114282]
warm up [0.011522, 0.0113229, 0.0114128, 0.0114849, 0.0114527, 0.01158, 0.0113902, 0.0115369, 0.0115663, 0.0171739, 0.011471100000000001, 0.0112623, 0.0115704, 0.0115852, 0.0114871, 0.0115453, 0.0114135, 0.0114156, 0.0114088, 0.011419]
warm up [0.01144, 0.0116348, 0.0114434, 0.0112878, 0.01156, 0.0116043, 0.0115739, 0.011538300000000001, 0.0113702, 0.0147641, 0.0113781, 0.0115275, 0.0114235, 0.0114387, 0.011503399999999999, 0.0114947, 0.011493, 0.0113284, 0.011349900000000001, 0.0115156]
warm up [0.011481799999999999, 0.011291899999999999, 0.011387099999999999, 0.0115471, 0.011545399999999999, 0.0113253, 0.0112644, 0.01132, 0.0114836, 0.0114497, 0.0115133, 0.011541000000000001, 0.0112522, 0.0115195, 0.0113927, 0.011347300000000001, 0.011527999999999998, 0.0114936, 0.011524399999999999, 0.0116087]
warm up [0.0115691, 0.011464900000000002, 0.0114745, 0.011473200000000001, 0.0116399, 0.011601799999999999, 0.0115295, 0.0114801, 0.011493, 0.0114629, 0.0113794, 0.0114452, 0.011571399999999999, 0.011408600000000001, 0.0113888, 0.0113151, 0.011436300000000002, 0.0115784, 0.0114698, 0.0115162]
warm up [0.0115441, 0.011425900000000001, 0.0114249, 0.0113515, 0.0113853, 0.011278400000000001, 0.01141, 0.0112019, 0.011447299999999999, 0.011509499999999999, 0.011519800000000002, 0.0115107, 0.0112862, 0.0115356, 0.0115782, 0.0114337, 0.01144, 0.011503900000000001, 0.011652800000000001, 0.011492700000000002]
warm up [0.0116035, 0.0115309, 0.0114396, 0.0160267, 0.011450700000000001, 0.0114896, 0.0113498, 0.011294100000000001, 0.011558299999999999, 0.0115532, 0.0112942, 0.01142, 0.0123225, 0.0115269, 0.0116017, 0.0116005, 0.011541000000000001, 0.0114501, 0.014915, 0.0115313]
warm up [0.0119462, 0.011448600000000001, 0.0114382, 0.0114384, 0.0116113, 0.01535, 0.0115241, 0.0115529, 0.0113372, 0.011395099999999998, 0.0113044, 0.0115068, 0.0124498, 0.0115059, 0.0115539, 0.0115369, 0.0116501, 0.0114775, 0.0112436, 0.0116285]
warm up [0.0115082, 0.0115965, 0.0111915, 0.0114787, 0.0113429, 0.0116133, 0.0115759, 0.0115294, 0.011281, 0.011419499999999999, 0.0112998, 0.011492500000000001, 0.011561499999999999, 0.0115756, 0.012422600000000002, 0.011502000000000002, 0.0112718, 0.01148, 0.0114769, 0.0121826]
warm up [0.0115257, 0.0115172, 0.0115641, 0.0115464, 0.0114497, 0.011382, 0.0115862, 0.0122358, 0.011521899999999998, 0.0113242, 0.0114885, 0.011396900000000001, 0.0115142, 0.011334, 0.0113848, 0.0114517, 0.0114698, 0.0113964, 0.0146482, 0.0115681]
warm up [0.0115086, 0.0116601, 0.0114141, 0.011340300000000001, 0.0114907, 0.0114594, 0.0114588, 0.011370499999999999, 0.011475899999999999, 0.0114323, 0.0123773, 0.0114826, 0.0127367, 0.011562900000000001, 0.011380800000000002, 0.0114696, 0.011489899999999999, 0.0114019, 0.0114173, 0.011320499999999999]
warm up [0.0115964, 0.0114328, 0.0114885, 0.011623399999999999, 0.0114162, 0.0115886, 0.0115008, 0.0114966, 0.0114544, 0.011373, 0.0115375, 0.011612, 0.011469299999999998, 0.0115104, 0.0115752, 0.011651799999999999, 0.0115388, 0.0115689, 0.011479, 0.0124621]
warm up [0.011322700000000002, 0.0112694, 0.012187300000000002, 0.0117535, 0.0143264, 0.0115169, 0.011315700000000001, 0.0113154, 0.0114203, 0.0114637, 0.011294100000000001, 0.011509599999999998, 0.011348899999999999, 0.012311700000000002, 0.0116084, 0.0114198, 0.011453, 0.0114603, 0.011722799999999998, 0.0113456]
warm up [0.011503399999999999, 0.011470000000000001, 0.0115983, 0.011604, 0.011559900000000001, 0.0113911, 0.0116183, 0.014966, 0.0115236, 0.0114546, 0.0114336, 0.011576000000000001, 0.0113359, 0.011425300000000001, 0.0113755, 0.0139666, 0.011534399999999998, 0.011616900000000001, 0.011325, 0.0113217]
warm up [0.0115041, 0.0113348, 0.011453399999999999, 0.0116374, 0.011352600000000001, 0.0114614, 0.0113532, 0.011317899999999999, 0.0115519, 0.014837399999999999, 0.011455000000000002, 0.011388899999999999, 0.0114763, 0.011356400000000001, 0.011335799999999998, 0.011438799999999999, 0.0113746, 0.011519099999999999, 0.011398499999999999, 0.011542]
tune []
No. 0 | The best currently 0.0111915 {'merge': 0, 'inline': 0}
re-evaluate [0.011395099999999998, 0.0115397, 0.011388200000000001, 0.011325, 0.0115052, 0.0114513, 0.012325199999999998, 0.011347300000000001, 0.0116181, 0.0127767]
warm up [0.0115194]
tune []
No. 1 | The best currently 0.0112671 {'merge': 3, 'inline': 0}
re-evaluate [0.0115996, 0.011560500000000001, 0.0116746, 0.0116094, 0.0113551, 0.011467300000000001, 0.0114994, 0.0115478, 0.011421500000000001, 0.0115082]
warm up [0.0113515]
tune []
No. 2 | The best currently 0.0112942 {'merge': 0, 'inline': 0}
re-evaluate [0.0115762, 0.011411500000000002, 0.0115168, 0.0115485, 0.0114256, 0.0115784, 0.011716899999999999, 0.0124064, 0.0162457, 0.0115833]
warm up [0.011349099999999999]
tune []
No. 3 | The best currently 0.0113217 {'merge': 3, 'inline': 0}
re-evaluate [0.011448700000000001, 0.0113547, 0.0115209, 0.0115766, 0.0114565, 0.0116364, 0.0114797, 0.0124907, 0.0113638, 0.0114947]
warm up [0.0114351]
tune []
No. 4 | The best currently 0.011334 {'merge': 2, 'inline': 0}
Early stop after continuous no trials 5 times
######################################
op schedules:
----------------------------------
spatial [[1, 1, 1, 2], [1, 1, 1, 4]]
reduce [[1, 1, 2]]
fuse [[1, 2, 2]]
unroll [[1500, 0]]
reorder [[1]]
----------------------------------
spatial [[1, 1, 2, 2], [1, 1, 2, 2]]
fuse [[1, 2, 2]]
unroll [[1, 0]]
reorder [[0]]
graph schedules:
merge [[0, 1]]
inline [[0, 0]]
block_circulant_matrix_block_circulant_matrix_(4, 4, 2)_cuda(0):[[{"spatial": [[1, 1, 1, 2], [1, 1, 1, 4]], "reduce": [[1, 1, 2]], "fuse": [[1, 2, 2]], "merge": [], "unroll": [[1500, 0]], "inline": [], "reorder": [[1]]}, {"spatial": [[1, 1, 2, 2], [1, 1, 2, 2]], "reduce": [], "fuse": [[1, 2, 2]], "merge": [], "unroll": [[1, 0]], "inline": [], "reorder": [[0]]}], {"spatial": [], "reduce": [], "fuse": [], "merge": [[0, 1]], "unroll": [], "inline": [[0, 0]], "reorder": []}]
Use 0.011493 ms
Cost 3911.8264739513397 s
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