numpy.core._exceptions.UFuncTypeError: ufunc 'subtract' did not contain a loop with signature matching types
Question:
numpy.core._exceptions.UFuncTypeError: ufunc 'subtract' did not contain a loop with signature matching types (dtype('<U1580'), dtype('<U1580')) -> dtype('<U1580')
I am trying to perform the following operation:
dist = np.linalg.norm(encoding - db_enc)
where encoding is a 128 dimensional vector of a face sent via a POST request and db_enc is another 128 dimensional vector that I am fetching from Sqlite3 database. I am getting the above error on performing this step. Here is the encoding in detail,
print("ENC ", type(encoding), encoding, np.shape(encoding))
ENC <class 'numpy.ndarray'> [[ 0.09602562 0.05026172 0.106613 0.11637867 0.13730541 0.18687613
0.13980152 -0.10983124 0.01835017 -0.06333953 -0.06147085 0.0549635
0.02799656 0.00092633 0.11221859 -0.05192785 0.0525886 0.07087591
-0.10972961 0.01514653 0.01200427 0.05329731 0.04005743 0.18915842
0.04145951 -0.20928082 -0.16869229 -0.06036214 -0.04235162 0.07824261
0.07138225 0.1312568 -0.09781478 0.12874082 0.03722986 -0.01082433
0.10047887 0.00800437 -0.04152641 -0.0306553 0.13605222 0.01289378
0.05760223 -0.19195035 -0.12237714 -0.07873389 0.00380635 0.02028097
0.02223298 0.06474376 0.10941633 -0.14064552 0.08936299 0.00388683
0.07314923 0.04556359 -0.02430227 0.11343706 0.00779198 -0.00964779
-0.08630823 0.12208205 -0.05156697 -0.3145251 0.10649662 0.09643669
0.05130563 -0.07409885 -0.26777127 0.05541156 -0.00147743 0.11800249
-0.01156744 0.06501945 -0.00601065 0.085051 0.07932617 -0.08163948
0.04494501 -0.03012008 0.01525374 0.06678153 0.01800733 -0.0201263
0.07194183 -0.03790623 0.00289917 -0.0186056 -0.13076556 0.10577566
0.07499494 -0.11745209 0.09151422 0.00840714 -0.06819624 0.0245196
-0.01500007 -0.00589196 0.05808676 0.09107708 0.07078542 0.00117582
-0.04596691 0.12681791 -0.06487873 -0.00370738 -0.02379089 -0.0916268
-0.07825013 0.06853001 -0.00962984 0.06818784 0.07526734 -0.0005998
-0.01838216 -0.00074842 -0.08485842 0.10574327 -0.12667136 0.10527002
0.0553649 0.0220931 -0.04728016 0.01509122 0.01982033 0.10371249
-0.06818289 -0.1270394 ]] (1, 128)
and the corresponding database value
print("DB ", type(db_enc), db_enc, np.shape(db_enc))
DB <class 'numpy.ndarray'> [[ 0.1616196 -0.06403983 0.00219853 -0.04197867 0.09346917 0.20562127
0.12494124 0.02679994 -0.127634 -0.1126218 -0.03107646 0.04363777
0.14626062 0.03845457 0.07879496 -0.11283173 0.01420811 -0.02750769
-0.06326418 0.13397539 0.07688539 0.05936693 0.00945647 0.15419547
-0.08248097 -0.07293285 -0.14824665 -0.15512463 -0.00425251 0.07445055
-0.03990018 0.0395442 -0.14082795 0.0743586 0.02989104 0.02714477
0.01490993 0.09542259 -0.03989129 -0.02652638 0.08977504 0.03180737
-0.10132375 -0.07919461 -0.15734208 0.01482354 0.03443371 0.03917413
-0.08184692 0.04209467 -0.03919723 -0.11930565 0.08438748 0.07760657
0.08840926 -0.01585769 -0.01170482 0.17661 -0.04050164 -0.08612555
-0.03465237 0.15780036 0.07520261 -0.17770033 0.02524511 0.02246985
0.11478782 0.03914222 -0.09477007 -0.12463204 0.03759931 0.05503495
-0.00029514 -0.00599168 0.01094351 0.09305067 -0.04536207 -0.10035587
0.1543854 0.11397277 0.0400256 0.01436814 -0.01748643 -0.08823788
0.0320038 -0.00023023 0.10030443 0.01394301 -0.07903008 0.03293093
0.15368395 -0.11213656 0.07401505 0.06123362 -0.1783725 -0.0788461
0.04645948 -0.00024172 0.03527135 0.02592313 0.11341458 0.07026253
-0.0544541 0.09657887 -0.17342299 0.0612987 -0.07760912 0.00467722
-0.10431045 0.03944225 0.10737552 0.07386835 -0.06278969 -0.04545485
-0.06690471 0.12865026 -0.18798149 -0.01798184 -0.168064 0.05734041
-0.07086241 -0.08988202 -0.01063311 0.02298436 -0.03099938 0.11156233
-0.12110745 -0.09365971]] ()
What could be the possible solution?
Answers:
The problem here was that the value when retrieved from database was a string.
This was in ndarray
[[ 0.1616196... ]]
but the content in Inner Brackets was a string.
So after reshaping I was able to perform the desired operation.
numpy.core._exceptions.UFuncTypeError: ufunc 'subtract' did not contain a loop with signature matching types (dtype('<U1580'), dtype('<U1580')) -> dtype('<U1580')
I am trying to perform the following operation:
dist = np.linalg.norm(encoding - db_enc)
where encoding is a 128 dimensional vector of a face sent via a POST request and db_enc is another 128 dimensional vector that I am fetching from Sqlite3 database. I am getting the above error on performing this step. Here is the encoding in detail,
print("ENC ", type(encoding), encoding, np.shape(encoding))
ENC <class 'numpy.ndarray'> [[ 0.09602562 0.05026172 0.106613 0.11637867 0.13730541 0.18687613
0.13980152 -0.10983124 0.01835017 -0.06333953 -0.06147085 0.0549635
0.02799656 0.00092633 0.11221859 -0.05192785 0.0525886 0.07087591
-0.10972961 0.01514653 0.01200427 0.05329731 0.04005743 0.18915842
0.04145951 -0.20928082 -0.16869229 -0.06036214 -0.04235162 0.07824261
0.07138225 0.1312568 -0.09781478 0.12874082 0.03722986 -0.01082433
0.10047887 0.00800437 -0.04152641 -0.0306553 0.13605222 0.01289378
0.05760223 -0.19195035 -0.12237714 -0.07873389 0.00380635 0.02028097
0.02223298 0.06474376 0.10941633 -0.14064552 0.08936299 0.00388683
0.07314923 0.04556359 -0.02430227 0.11343706 0.00779198 -0.00964779
-0.08630823 0.12208205 -0.05156697 -0.3145251 0.10649662 0.09643669
0.05130563 -0.07409885 -0.26777127 0.05541156 -0.00147743 0.11800249
-0.01156744 0.06501945 -0.00601065 0.085051 0.07932617 -0.08163948
0.04494501 -0.03012008 0.01525374 0.06678153 0.01800733 -0.0201263
0.07194183 -0.03790623 0.00289917 -0.0186056 -0.13076556 0.10577566
0.07499494 -0.11745209 0.09151422 0.00840714 -0.06819624 0.0245196
-0.01500007 -0.00589196 0.05808676 0.09107708 0.07078542 0.00117582
-0.04596691 0.12681791 -0.06487873 -0.00370738 -0.02379089 -0.0916268
-0.07825013 0.06853001 -0.00962984 0.06818784 0.07526734 -0.0005998
-0.01838216 -0.00074842 -0.08485842 0.10574327 -0.12667136 0.10527002
0.0553649 0.0220931 -0.04728016 0.01509122 0.01982033 0.10371249
-0.06818289 -0.1270394 ]] (1, 128)
and the corresponding database value
print("DB ", type(db_enc), db_enc, np.shape(db_enc))
DB <class 'numpy.ndarray'> [[ 0.1616196 -0.06403983 0.00219853 -0.04197867 0.09346917 0.20562127
0.12494124 0.02679994 -0.127634 -0.1126218 -0.03107646 0.04363777
0.14626062 0.03845457 0.07879496 -0.11283173 0.01420811 -0.02750769
-0.06326418 0.13397539 0.07688539 0.05936693 0.00945647 0.15419547
-0.08248097 -0.07293285 -0.14824665 -0.15512463 -0.00425251 0.07445055
-0.03990018 0.0395442 -0.14082795 0.0743586 0.02989104 0.02714477
0.01490993 0.09542259 -0.03989129 -0.02652638 0.08977504 0.03180737
-0.10132375 -0.07919461 -0.15734208 0.01482354 0.03443371 0.03917413
-0.08184692 0.04209467 -0.03919723 -0.11930565 0.08438748 0.07760657
0.08840926 -0.01585769 -0.01170482 0.17661 -0.04050164 -0.08612555
-0.03465237 0.15780036 0.07520261 -0.17770033 0.02524511 0.02246985
0.11478782 0.03914222 -0.09477007 -0.12463204 0.03759931 0.05503495
-0.00029514 -0.00599168 0.01094351 0.09305067 -0.04536207 -0.10035587
0.1543854 0.11397277 0.0400256 0.01436814 -0.01748643 -0.08823788
0.0320038 -0.00023023 0.10030443 0.01394301 -0.07903008 0.03293093
0.15368395 -0.11213656 0.07401505 0.06123362 -0.1783725 -0.0788461
0.04645948 -0.00024172 0.03527135 0.02592313 0.11341458 0.07026253
-0.0544541 0.09657887 -0.17342299 0.0612987 -0.07760912 0.00467722
-0.10431045 0.03944225 0.10737552 0.07386835 -0.06278969 -0.04545485
-0.06690471 0.12865026 -0.18798149 -0.01798184 -0.168064 0.05734041
-0.07086241 -0.08988202 -0.01063311 0.02298436 -0.03099938 0.11156233
-0.12110745 -0.09365971]] ()
What could be the possible solution?
The problem here was that the value when retrieved from database was a string.
This was in ndarray
[[ 0.1616196... ]]
but the content in Inner Brackets was a string.
So after reshaping I was able to perform the desired operation.