Closed sywu213 closed 1 year ago
It appears that you're dealing with a package version mismatch issue. Could you please check the versions of Python, TensorFlow, scikit-learn, NumPy, and so on in the requirements.txt file to ensure they are correct?
Thank you for your reply, I've already checked my library,The versions of those packages are the same as those in the requirements.txt.Because I just I followed step two in readme and install them. I guess the version of nni led to this problem.Because when I install it, the versons of some packages in requirements.txt are prompted that it is incompatible with nni,could you please tell me the version of nni when you experiment and I will try again.
Can you please provide the version of NNI that was used during our testing? @jie-2000
It appears to be a data type change issue. Could you please provide the complete error log? I couldn't locate the specific error line and file within the FUNDED project from the log; it seems to only display the error trace in third-party packages like TensorFlow and NumPy.
Thank you for your reply , here is the complete error log:
The specific error line and file within the FUNDED project are these:
File "E:\paper_code_final\FUNDED_NISL-main\FUNDED\cli_utils\training_utils.py", line 310, in run_train_from_args aml_run=aml_run, File "E:\paper_code_final\FUNDED_NISL-main\FUNDED\cli_utils\trainingutils.py", line 65, in train , _, initial_valid_results = model.run_one_epoch_new(train_data,train_data_2, training=False, quiet=quiet) File "E:\paper_code_final\FUNDED_NISL-main\FUNDED\models\graph_task_model.py", line 347, in run_one_epoch_new for ((step, (batch_features, batch_labels)),(step_2, (batch_features_2, batch_labels_2))) in zip(enumerate(dataset),enumerate(dataset2)):
The complete error log:
2023-09-22 08:57:01.573581: W tensorflow/core/framework/op_kernel.cc:1610] Invalid argument: TypeError: generator
yielded an element that could not be converted to the expected type.
The expected type was float32, but the yielded element was [list([0.5488135039273248, 0.7151893663724195, 0.6027633760716439, 0.5448831829968969, 0.4236547993389047, 0.645894113066656
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0.7781567509498505, 0.8700121482468192, 0.978618342232764, 0.7991585642167236, 0.46147936225293185, 0.7805291762864555, 0.11827442586893322, 0.6399210213275238, 0.1433532874090464, 0.9
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...
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TypeError: float() argument must be a string or a number, not 'list'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "D:\anconda\envs\funded\lib\site-packages\tensorflow_core\python\data\ops\dataset_ops.py", line 601, in generator_py_func ret, dtype=dtype.as_numpy_dtype))
File "D:\anconda\envs\funded\lib\site-packages\tensorflow_core\python\ops\script_ops.py", line 181, in _convert result = np.asarray(value, dtype=dtype, order="C")
File "D:\anconda\envs\funded\lib\site-packages\numpy\core_asarray.py", line 85, in asarray return array(a, dtype, copy=False, order=order)
ValueError: setting an array element with a sequence.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "D:\anconda\envs\funded\lib\site-packages\tensorflow_core\python\ops\script_ops.py", line 221, in call ret = func(*args)
File "D:\anconda\envs\funded\lib\site-packages\tensorflow_core\python\data\ops\dataset_ops.py", line 606, in generator_py_func "element was %s." % (dtype.name, ret))
TypeError: generator
yielded an element that could not be converted to the expected type. The expected type was float32, but the yielded element was [list([0.5488135039273248, 0.7151
893663724195, 0.6027633760716439, 0.5448831829968969, 0.4236547993389047, 0.6458941130666561, 0.4375872112626925, 0.8917730007820798, 0.9636627605010293, 0.3834415188257777, 0.79172503
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5132366, 0.6674103799636817, 0.13179786240439217, 0.7163272041185655, 0.2894060929472011, 0.18319136200711683, 0.5865129348100832, 0.020107546187493552, 0.8289400292173631, 0.004695476192547066])
...
list([0.005677382927387953, -0.007464252877980471, -0.009782446548342705, 0.009946358390152454, -0.009832651354372501, -0.006362855434417725, -0.0073260413482785225, -0.00881202425807
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list([0.005677382927387953, -0.007464252877980471, -0.009782446548342705, 0.009946358390152454, -0.009832651354372501, -0.006362855434417725, -0.0073260413482785225, -0.00881202425807
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003918404690921307, -0.0016234016511589289, 0.006042079534381628, -0.004205191973596811, 0.0090550621971488, -0.0034986885730177164, -0.003259254852309823, -0.009913092479109764, -0.00
337334000505507, -0.0036835460923612118, 0.005642019212245941, -0.009841152466833591, 0.0023549534380435944, 0.0038174695800989866, 0.00865627359598875, -0.0029331848490983248, 0.00842
3866704106331, 0.0032442661467939615, -0.001002926379442215, 0.004845951683819294, 0.004271313548088074, 0.0087082264944911, -0.008903635665774345, -0.004545086994767189, 0.0018293802859261632, 0.00953060481697321])
list([0.5488135039273248, 0.7151893663724195, 0.6027633760716439, 0.5448831829968969, 0.4236547993389047, 0.6458941130666561, 0.4375872112626925, 0.8917730007820798, 0.963662760501029
3, 0.3834415188257777, 0.7917250380826646, 0.5288949197529045, 0.5680445610939323, 0.925596638292661, 0.07103605819788694, 0.08712929970154071, 0.02021839744032572, 0.832619845547938,
0.7781567509498505, 0.8700121482468192, 0.978618342232764, 0.7991585642167236, 0.46147936225293185, 0.7805291762864555, 0.11827442586893322, 0.6399210213275238, 0.1433532874090464, 0.9
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378696181594, 0.2103825610738409, 0.1289262976548533, 0.31542835092418386, 0.3637107709426226, 0.5701967704178796, 0.43860151346232035, 0.9883738380592262, 0.10204481074802807, 0.20887
67560948347, 0.16130951788499626, 0.6531083254653984, 0.2532916025397821, 0.4663107728563063, 0.24442559200160274, 0.15896958364551972, 0.11037514116430513, 0.6563295894652734, 0.13818
29513486138, 0.1965823616800535, 0.3687251706609641, 0.8209932298479351, 0.09710127579306127, 0.8379449074988039, 0.09609840789396307, 0.9764594650133958, 0.4686512016477016, 0.9767610
881903371, 0.604845519745046, 0.7392635793983017, 0.039187792254320675, 0.2828069625764096, 0.1201965612131689, 0.29614019752214493, 0.11872771895424405, 0.317983179393976, 0.414262994
51466997, 0.06414749634878436, 0.6924721193700198, 0.5666014542065752, 0.2653894909394454, 0.5232480534666997, 0.09394051075844168, 0.5759464955561793, 0.9292961975762141, 0.3185689524
5132366, 0.6674103799636817, 0.13179786240439217, 0.7163272041185655, 0.2894060929472011, 0.18319136200711683, 0.5865129348100832, 0.020107546187493552, 0.8289400292173631, 0.004695476192547066])].
2023-09-22 08:57:01.692631: W tensorflow/core/framework/op_kernel.cc:1622] OP_REQUIRES failed at iterator_ops.cc:929 : Invalid argument: TypeError: generator
yielded an element that
could not be converted to the expected type. The expected type was float32, but the yielded element was [list([0.5488135039273248, 0.7151893663724195, 0.6027633760716439, 0.54488318299
68969, 0.4236547993389047, 0.6458941130666561, 0.4375872112626925, 0.8917730007820798, 0.9636627605010293, 0.3834415188257777, 0.7917250380826646, 0.5288949197529045, 0.568044561093932
3, 0.925596638292661, 0.07103605819788694, 0.08712929970154071, 0.02021839744032572, 0.832619845547938, 0.7781567509498505, 0.8700121482468192, 0.978618342232764, 0.7991585642167236, 0
.46147936225293185, 0.7805291762864555, 0.11827442586893322, 0.6399210213275238, 0.1433532874090464, 0.9446689170495839, 0.5218483217500717, 0.4146619399905236, 0.26455561210462697, 0.
7742336894342167, 0.45615033221654855, 0.5684339488686485, 0.018789800436355142, 0.6176354970758771, 0.6120957227224214, 0.6169339968747569, 0.9437480785146242, 0.6818202991034834, 0.3
59507900573786, 0.43703195379934145, 0.6976311959272649, 0.06022547162926983, 0.6667667154456677, 0.6706378696181594, 0.2103825610738409, 0.1289262976548533, 0.31542835092418386, 0.363
7107709426226, 0.5701967704178796, 0.43860151346232035, 0.9883738380592262, 0.10204481074802807, 0.2088767560948347, 0.16130951788499626, 0.6531083254653984, 0.2532916025397821, 0.4663
107728563063, 0.24442559200160274, 0.15896958364551972, 0.11037514116430513, 0.6563295894652734, 0.1381829513486138, 0.1965823616800535, 0.3687251706609641, 0.8209932298479351, 0.09710
127579306127, 0.8379449074988039, 0.09609840789396307, 0.9764594650133958, 0.4686512016477016, 0.9767610881903371, 0.604845519745046, 0.7392635793983017, 0.039187792254320675, 0.282806
9625764096, 0.1201965612131689, 0.29614019752214493, 0.11872771895424405, 0.317983179393976, 0.41426299451466997, 0.06414749634878436, 0.6924721193700198, 0.5666014542065752, 0.2653894
909394454, 0.5232480534666997, 0.09394051075844168, 0.5759464955561793, 0.9292961975762141, 0.31856895245132366, 0.6674103799636817, 0.13179786240439217, 0.7163272041185655, 0.2894060929472011, 0.18319136200711683, 0.5865129348100832, 0.020107546187493552, 0.8289400292173631, 0.004695476192547066])
list([0.005677382927387953, -0.007464252877980471, -0.009782446548342705, 0.009946358390152454, -0.009832651354372501, -0.006362855434417725, -0.0073260413482785225, -0.00881202425807
7145, 0.006768082734197378, -0.008608066476881504, -0.003664185293018818, 0.009367522783577442, 0.005898385774344206, 0.009048250503838062, 0.008257834240794182, 0.002922232262790203,
-0.0020345349330455065, -0.00899265892803669, 0.00013334145478438586, 0.008560373447835445, 0.009282237850129604, 0.007668695878237486, 0.0016407800139859319, -0.000982225756160915, 0.
003918404690921307, -0.0016234016511589289, 0.006042079534381628, -0.004205191973596811, 0.0090550621971488, -0.0034986885730177164, -0.003259254852309823, -0.009913092479109764, -0.00
337334000505507, -0.0036835460923612118, 0.005642019212245941, -0.009841152466833591, 0.0023549534380435944, 0.0038174695800989866, 0.00865627359598875, -0.0029331848490983248, 0.00842
3866704106331, 0.0032442661467939615, -0.001002926379442215, 0.004845951683819294, 0.004271313548088074, 0.0087082264944911, -0.008903635665774345, -0.004545086994767189, 0.0018293802859261632, 0.00953060481697321])
list([0.5488135039273248, 0.7151893663724195, 0.6027633760716439, 0.5448831829968969, 0.4236547993389047, 0.6458941130666561, 0.4375872112626925, 0.8917730007820798, 0.963662760501029
3, 0.3834415188257777, 0.7917250380826646, 0.5288949197529045, 0.5680445610939323, 0.925596638292661, 0.07103605819788694, 0.08712929970154071, 0.02021839744032572, 0.832619845547938,
0.7781567509498505, 0.8700121482468192, 0.978618342232764, 0.7991585642167236, 0.46147936225293185, 0.7805291762864555, 0.11827442586893322, 0.6399210213275238, 0.1433532874090464, 0.9
446689170495839, 0.5218483217500717, 0.4146619399905236, 0.26455561210462697, 0.7742336894342167, 0.45615033221654855, 0.5684339488686485, 0.018789800436355142, 0.6176354970758771, 0.6
120957227224214, 0.6169339968747569, 0.9437480785146242, 0.6818202991034834, 0.359507900573786, 0.43703195379934145, 0.6976311959272649, 0.06022547162926983, 0.6667667154456677, 0.6706
378696181594, 0.2103825610738409, 0.1289262976548533, 0.31542835092418386, 0.3637107709426226, 0.5701967704178796, 0.43860151346232035, 0.9883738380592262, 0.10204481074802807, 0.20887
67560948347, 0.16130951788499626, 0.6531083254653984, 0.2532916025397821, 0.4663107728563063, 0.24442559200160274, 0.15896958364551972, 0.11037514116430513, 0.6563295894652734, 0.13818
29513486138, 0.1965823616800535, 0.3687251706609641, 0.8209932298479351, 0.09710127579306127, 0.8379449074988039, 0.09609840789396307, 0.9764594650133958, 0.4686512016477016, 0.9767610
881903371, 0.604845519745046, 0.7392635793983017, 0.039187792254320675, 0.2828069625764096, 0.1201965612131689, 0.29614019752214493, 0.11872771895424405, 0.317983179393976, 0.414262994
51466997, 0.06414749634878436, 0.6924721193700198, 0.5666014542065752, 0.2653894909394454, 0.5232480534666997, 0.09394051075844168, 0.5759464955561793, 0.9292961975762141, 0.3185689524
5132366, 0.6674103799636817, 0.13179786240439217, 0.7163272041185655, 0.2894060929472011, 0.18319136200711683, 0.5865129348100832, 0.020107546187493552, 0.8289400292173631, 0.004695476192547066])
...
list([0.005677382927387953, -0.007464252877980471, -0.009782446548342705, 0.009946358390152454, -0.009832651354372501, -0.006362855434417725, -0.0073260413482785225, -0.00881202425807
7145, 0.006768082734197378, -0.008608066476881504, -0.003664185293018818, 0.009367522783577442, 0.005898385774344206, 0.009048250503838062, 0.008257834240794182, 0.002922232262790203,
-0.0020345349330455065, -0.00899265892803669, 0.00013334145478438586, 0.008560373447835445, 0.009282237850129604, 0.007668695878237486, 0.0016407800139859319, -0.000982225756160915, 0.
003918404690921307, -0.0016234016511589289, 0.006042079534381628, -0.004205191973596811, 0.0090550621971488, -0.0034986885730177164, -0.003259254852309823, -0.009913092479109764, -0.00
337334000505507, -0.0036835460923612118, 0.005642019212245941, -0.009841152466833591, 0.0023549534380435944, 0.0038174695800989866, 0.00865627359598875, -0.0029331848490983248, 0.00842
3866704106331, 0.0032442661467939615, -0.001002926379442215, 0.004845951683819294, 0.004271313548088074, 0.0087082264944911, -0.008903635665774345, -0.004545086994767189, 0.0018293802859261632, 0.00953060481697321])
list([0.005677382927387953, -0.007464252877980471, -0.009782446548342705, 0.009946358390152454, -0.009832651354372501, -0.006362855434417725, -0.0073260413482785225, -0.00881202425807
7145, 0.006768082734197378, -0.008608066476881504, -0.003664185293018818, 0.009367522783577442, 0.005898385774344206, 0.009048250503838062, 0.008257834240794182, 0.002922232262790203,
-0.0020345349330455065, -0.00899265892803669, 0.00013334145478438586, 0.008560373447835445, 0.009282237850129604, 0.007668695878237486, 0.0016407800139859319, -0.000982225756160915, 0.
003918404690921307, -0.0016234016511589289, 0.006042079534381628, -0.004205191973596811, 0.0090550621971488, -0.0034986885730177164, -0.003259254852309823, -0.009913092479109764, -0.00
337334000505507, -0.0036835460923612118, 0.005642019212245941, -0.009841152466833591, 0.0023549534380435944, 0.0038174695800989866, 0.00865627359598875, -0.0029331848490983248, 0.00842
3866704106331, 0.0032442661467939615, -0.001002926379442215, 0.004845951683819294, 0.004271313548088074, 0.0087082264944911, -0.008903635665774345, -0.004545086994767189, 0.0018293802859261632, 0.00953060481697321])
list([0.5488135039273248, 0.7151893663724195, 0.6027633760716439, 0.5448831829968969, 0.4236547993389047, 0.6458941130666561, 0.4375872112626925, 0.8917730007820798, 0.963662760501029
3, 0.3834415188257777, 0.7917250380826646, 0.5288949197529045, 0.5680445610939323, 0.925596638292661, 0.07103605819788694, 0.08712929970154071, 0.02021839744032572, 0.832619845547938,
0.7781567509498505, 0.8700121482468192, 0.978618342232764, 0.7991585642167236, 0.46147936225293185, 0.7805291762864555, 0.11827442586893322, 0.6399210213275238, 0.1433532874090464, 0.9
446689170495839, 0.5218483217500717, 0.4146619399905236, 0.26455561210462697, 0.7742336894342167, 0.45615033221654855, 0.5684339488686485, 0.018789800436355142, 0.6176354970758771, 0.6
120957227224214, 0.6169339968747569, 0.9437480785146242, 0.6818202991034834, 0.359507900573786, 0.43703195379934145, 0.6976311959272649, 0.06022547162926983, 0.6667667154456677, 0.6706
378696181594, 0.2103825610738409, 0.1289262976548533, 0.31542835092418386, 0.3637107709426226, 0.5701967704178796, 0.43860151346232035, 0.9883738380592262, 0.10204481074802807, 0.20887
67560948347, 0.16130951788499626, 0.6531083254653984, 0.2532916025397821, 0.4663107728563063, 0.24442559200160274, 0.15896958364551972, 0.11037514116430513, 0.6563295894652734, 0.13818
29513486138, 0.1965823616800535, 0.3687251706609641, 0.8209932298479351, 0.09710127579306127, 0.8379449074988039, 0.09609840789396307, 0.9764594650133958, 0.4686512016477016, 0.9767610
881903371, 0.604845519745046, 0.7392635793983017, 0.039187792254320675, 0.2828069625764096, 0.1201965612131689, 0.29614019752214493, 0.11872771895424405, 0.317983179393976, 0.414262994
51466997, 0.06414749634878436, 0.6924721193700198, 0.5666014542065752, 0.2653894909394454, 0.5232480534666997, 0.09394051075844168, 0.5759464955561793, 0.9292961975762141, 0.3185689524
5132366, 0.6674103799636817, 0.13179786240439217, 0.7163272041185655, 0.2894060929472011, 0.18319136200711683, 0.5865129348100832, 0.020107546187493552, 0.8289400292173631, 0.004695476192547066])].
TypeError: float() argument must be a string or a number, not 'list'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "D:\anconda\envs\funded\lib\site-packages\tensorflow_core\python\data\ops\dataset_ops.py", line 601, in generator_py_func ret, dtype=dtype.as_numpy_dtype))
File "D:\anconda\envs\funded\lib\site-packages\tensorflow_core\python\ops\script_ops.py", line 181, in _convert result = np.asarray(value, dtype=dtype, order="C")
File "D:\anconda\envs\funded\lib\site-packages\numpy\core_asarray.py", line 85, in asarray return array(a, dtype, copy=False, order=order)
ValueError: setting an array element with a sequence.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "D:\anconda\envs\funded\lib\site-packages\tensorflow_core\python\ops\script_ops.py", line 221, in call ret = func(*args)
File "D:\anconda\envs\funded\lib\site-packages\tensorflow_core\python\data\ops\dataset_ops.py", line 606, in generator_py_func "element was %s." % (dtype.name, ret))
TypeError: generator
yielded an element that could not be converted to the expected type. The expected type was float32, but the yielded element was [list([0.5488135039273248, 0.7151
893663724195, 0.6027633760716439, 0.5448831829968969, 0.4236547993389047, 0.6458941130666561, 0.4375872112626925, 0.8917730007820798, 0.9636627605010293, 0.3834415188257777, 0.79172503
80826646, 0.5288949197529045, 0.5680445610939323, 0.925596638292661, 0.07103605819788694, 0.08712929970154071, 0.02021839744032572, 0.832619845547938, 0.7781567509498505, 0.87001214824
68192, 0.978618342232764, 0.7991585642167236, 0.46147936225293185, 0.7805291762864555, 0.11827442586893322, 0.6399210213275238, 0.1433532874090464, 0.9446689170495839, 0.52184832175007
17, 0.4146619399905236, 0.26455561210462697, 0.7742336894342167, 0.45615033221654855, 0.5684339488686485, 0.018789800436355142, 0.6176354970758771, 0.6120957227224214, 0.61693399687475
69, 0.9437480785146242, 0.6818202991034834, 0.359507900573786, 0.43703195379934145, 0.6976311959272649, 0.06022547162926983, 0.6667667154456677, 0.6706378696181594, 0.2103825610738409,
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...
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[[{{node PyFunc}}]]
Traceback (most recent call last):
File "train.py", line 60, in generator
yielded an element that could not be converted to the expected type. The expected type was float32,
but the yielded element was [list([0.5488135039273248, 0.7151893663724195, 0.6027633760716439, 0.5448831829968969, 0.4236547993389047, 0.6458941130666561, 0.4375872112626925, 0.891773
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...
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337334000505507, -0.0036835460923612118, 0.005642019212245941, -0.009841152466833591, 0.0023549534380435944, 0.0038174695800989866, 0.00865627359598875, -0.0029331848490983248, 0.00842
3866704106331, 0.0032442661467939615, -0.001002926379442215, 0.004845951683819294, 0.004271313548088074, 0.0087082264944911, -0.008903635665774345, -0.004545086994767189, 0.0018293802859261632, 0.00953060481697321])
list([0.5488135039273248, 0.7151893663724195, 0.6027633760716439, 0.5448831829968969, 0.4236547993389047, 0.6458941130666561, 0.4375872112626925, 0.8917730007820798, 0.963662760501029
3, 0.3834415188257777, 0.7917250380826646, 0.5288949197529045, 0.5680445610939323, 0.925596638292661, 0.07103605819788694, 0.08712929970154071, 0.02021839744032572, 0.832619845547938,
0.7781567509498505, 0.8700121482468192, 0.978618342232764, 0.7991585642167236, 0.46147936225293185, 0.7805291762864555, 0.11827442586893322, 0.6399210213275238, 0.1433532874090464, 0.9
446689170495839, 0.5218483217500717, 0.4146619399905236, 0.26455561210462697, 0.7742336894342167, 0.45615033221654855, 0.5684339488686485, 0.018789800436355142, 0.6176354970758771, 0.6
120957227224214, 0.6169339968747569, 0.9437480785146242, 0.6818202991034834, 0.359507900573786, 0.43703195379934145, 0.6976311959272649, 0.06022547162926983, 0.6667667154456677, 0.6706
378696181594, 0.2103825610738409, 0.1289262976548533, 0.31542835092418386, 0.3637107709426226, 0.5701967704178796, 0.43860151346232035, 0.9883738380592262, 0.10204481074802807, 0.20887
67560948347, 0.16130951788499626, 0.6531083254653984, 0.2532916025397821, 0.4663107728563063, 0.24442559200160274, 0.15896958364551972, 0.11037514116430513, 0.6563295894652734, 0.13818
29513486138, 0.1965823616800535, 0.3687251706609641, 0.8209932298479351, 0.09710127579306127, 0.8379449074988039, 0.09609840789396307, 0.9764594650133958, 0.4686512016477016, 0.9767610
881903371, 0.604845519745046, 0.7392635793983017, 0.039187792254320675, 0.2828069625764096, 0.1201965612131689, 0.29614019752214493, 0.11872771895424405, 0.317983179393976, 0.414262994
51466997, 0.06414749634878436, 0.6924721193700198, 0.5666014542065752, 0.2653894909394454, 0.5232480534666997, 0.09394051075844168, 0.5759464955561793, 0.9292961975762141, 0.3185689524
5132366, 0.6674103799636817, 0.13179786240439217, 0.7163272041185655, 0.2894060929472011, 0.18319136200711683, 0.5865129348100832, 0.020107546187493552, 0.8289400292173631, 0.004695476192547066])].
TypeError: float() argument must be a string or a number, not 'list'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "D:\anconda\envs\funded\lib\site-packages\tensorflow_core\python\data\ops\dataset_ops.py", line 601, in generator_py_func ret, dtype=dtype.as_numpy_dtype))
File "D:\anconda\envs\funded\lib\site-packages\tensorflow_core\python\ops\script_ops.py", line 181, in _convert result = np.asarray(value, dtype=dtype, order="C")
File "D:\anconda\envs\funded\lib\site-packages\numpy\core_asarray.py", line 85, in asarray return array(a, dtype, copy=False, order=order)
ValueError: setting an array element with a sequence.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "D:\anconda\envs\funded\lib\site-packages\tensorflow_core\python\ops\script_ops.py", line 221, in call ret = func(*args)
File "D:\anconda\envs\funded\lib\site-packages\tensorflow_core\python\data\ops\dataset_ops.py", line 606, in generator_py_func "element was %s." % (dtype.name, ret))
TypeError: generator
yielded an element that could not be converted to the expected type. The expected type was float32, but the yielded element was [list([0.5488135039273248, 0.7151
893663724195, 0.6027633760716439, 0.5448831829968969, 0.4236547993389047, 0.6458941130666561, 0.4375872112626925, 0.8917730007820798, 0.9636627605010293, 0.3834415188257777, 0.79172503
80826646, 0.5288949197529045, 0.5680445610939323, 0.925596638292661, 0.07103605819788694, 0.08712929970154071, 0.02021839744032572, 0.832619845547938, 0.7781567509498505, 0.87001214824
68192, 0.978618342232764, 0.7991585642167236, 0.46147936225293185, 0.7805291762864555, 0.11827442586893322, 0.6399210213275238, 0.1433532874090464, 0.9446689170495839, 0.52184832175007
17, 0.4146619399905236, 0.26455561210462697, 0.7742336894342167, 0.45615033221654855, 0.5684339488686485, 0.018789800436355142, 0.6176354970758771, 0.6120957227224214, 0.61693399687475
69, 0.9437480785146242, 0.6818202991034834, 0.359507900573786, 0.43703195379934145, 0.6976311959272649, 0.06022547162926983, 0.6667667154456677, 0.6706378696181594, 0.2103825610738409,
0.1289262976548533, 0.31542835092418386, 0.3637107709426226, 0.5701967704178796, 0.43860151346232035, 0.9883738380592262, 0.10204481074802807, 0.2088767560948347, 0.16130951788499626,
0.6531083254653984, 0.2532916025397821, 0.4663107728563063, 0.24442559200160274, 0.15896958364551972, 0.11037514116430513, 0.6563295894652734, 0.1381829513486138, 0.1965823616800535,
0.3687251706609641, 0.8209932298479351, 0.09710127579306127, 0.8379449074988039, 0.09609840789396307, 0.9764594650133958, 0.4686512016477016, 0.9767610881903371, 0.604845519745046, 0.7
392635793983017, 0.039187792254320675, 0.2828069625764096, 0.1201965612131689, 0.29614019752214493, 0.11872771895424405, 0.317983179393976, 0.41426299451466997, 0.06414749634878436, 0.
6924721193700198, 0.5666014542065752, 0.2653894909394454, 0.5232480534666997, 0.09394051075844168, 0.5759464955561793, 0.9292961975762141, 0.31856895245132366, 0.6674103799636817, 0.13179786240439217, 0.7163272041185655, 0.2894060929472011, 0.18319136200711683, 0.5865129348100832, 0.020107546187493552, 0.8289400292173631, 0.004695476192547066])
list([0.005677382927387953, -0.007464252877980471, -0.009782446548342705, 0.009946358390152454, -0.009832651354372501, -0.006362855434417725, -0.0073260413482785225, -0.00881202425807
7145, 0.006768082734197378, -0.008608066476881504, -0.003664185293018818, 0.009367522783577442, 0.005898385774344206, 0.009048250503838062, 0.008257834240794182, 0.002922232262790203,
-0.0020345349330455065, -0.00899265892803669, 0.00013334145478438586, 0.008560373447835445, 0.009282237850129604, 0.007668695878237486, 0.0016407800139859319, -0.000982225756160915, 0.
003918404690921307, -0.0016234016511589289, 0.006042079534381628, -0.004205191973596811, 0.0090550621971488, -0.0034986885730177164, -0.003259254852309823, -0.009913092479109764, -0.00
337334000505507, -0.0036835460923612118, 0.005642019212245941, -0.009841152466833591, 0.0023549534380435944, 0.0038174695800989866, 0.00865627359598875, -0.0029331848490983248, 0.00842
3866704106331, 0.0032442661467939615, -0.001002926379442215, 0.004845951683819294, 0.004271313548088074, 0.0087082264944911, -0.008903635665774345, -0.004545086994767189, 0.0018293802859261632, 0.00953060481697321])
list([0.5488135039273248, 0.7151893663724195, 0.6027633760716439, 0.5448831829968969, 0.4236547993389047, 0.6458941130666561, 0.4375872112626925, 0.8917730007820798, 0.963662760501029
3, 0.3834415188257777, 0.7917250380826646, 0.5288949197529045, 0.5680445610939323, 0.925596638292661, 0.07103605819788694, 0.08712929970154071, 0.02021839744032572, 0.832619845547938,
0.7781567509498505, 0.8700121482468192, 0.978618342232764, 0.7991585642167236, 0.46147936225293185, 0.7805291762864555, 0.11827442586893322, 0.6399210213275238, 0.1433532874090464, 0.9
446689170495839, 0.5218483217500717, 0.4146619399905236, 0.26455561210462697, 0.7742336894342167, 0.45615033221654855, 0.5684339488686485, 0.018789800436355142, 0.6176354970758771, 0.6
120957227224214, 0.6169339968747569, 0.9437480785146242, 0.6818202991034834, 0.359507900573786, 0.43703195379934145, 0.6976311959272649, 0.06022547162926983, 0.6667667154456677, 0.6706
378696181594, 0.2103825610738409, 0.1289262976548533, 0.31542835092418386, 0.3637107709426226, 0.5701967704178796, 0.43860151346232035, 0.9883738380592262, 0.10204481074802807, 0.20887
67560948347, 0.16130951788499626, 0.6531083254653984, 0.2532916025397821, 0.4663107728563063, 0.24442559200160274, 0.15896958364551972, 0.11037514116430513, 0.6563295894652734, 0.13818
29513486138, 0.1965823616800535, 0.3687251706609641, 0.8209932298479351, 0.09710127579306127, 0.8379449074988039, 0.09609840789396307, 0.9764594650133958, 0.4686512016477016, 0.9767610
881903371, 0.604845519745046, 0.7392635793983017, 0.039187792254320675, 0.2828069625764096, 0.1201965612131689, 0.29614019752214493, 0.11872771895424405, 0.317983179393976, 0.414262994
51466997, 0.06414749634878436, 0.6924721193700198, 0.5666014542065752, 0.2653894909394454, 0.5232480534666997, 0.09394051075844168, 0.5759464955561793, 0.9292961975762141, 0.3185689524
5132366, 0.6674103799636817, 0.13179786240439217, 0.7163272041185655, 0.2894060929472011, 0.18319136200711683, 0.5865129348100832, 0.020107546187493552, 0.8289400292173631, 0.004695476192547066])
...
list([0.005677382927387953, -0.007464252877980471, -0.009782446548342705, 0.009946358390152454, -0.009832651354372501, -0.006362855434417725, -0.0073260413482785225, -0.00881202425807
7145, 0.006768082734197378, -0.008608066476881504, -0.003664185293018818, 0.009367522783577442, 0.005898385774344206, 0.009048250503838062, 0.008257834240794182, 0.002922232262790203,
-0.0020345349330455065, -0.00899265892803669, 0.00013334145478438586, 0.008560373447835445, 0.009282237850129604, 0.007668695878237486, 0.0016407800139859319, -0.000982225756160915, 0.
003918404690921307, -0.0016234016511589289, 0.006042079534381628, -0.004205191973596811, 0.0090550621971488, -0.0034986885730177164, -0.003259254852309823, -0.009913092479109764, -0.00
337334000505507, -0.0036835460923612118, 0.005642019212245941, -0.009841152466833591, 0.0023549534380435944, 0.0038174695800989866, 0.00865627359598875, -0.0029331848490983248, 0.00842
3866704106331, 0.0032442661467939615, -0.001002926379442215, 0.004845951683819294, 0.004271313548088074, 0.0087082264944911, -0.008903635665774345, -0.004545086994767189, 0.0018293802859261632, 0.00953060481697321])
list([0.005677382927387953, -0.007464252877980471, -0.009782446548342705, 0.009946358390152454, -0.009832651354372501, -0.006362855434417725, -0.0073260413482785225, -0.00881202425807
7145, 0.006768082734197378, -0.008608066476881504, -0.003664185293018818, 0.009367522783577442, 0.005898385774344206, 0.009048250503838062, 0.008257834240794182, 0.002922232262790203,
67560948347, 0.16130951788499626, 0.6531083254653984, 0.2532916025397821, 0.4663107728563063, 0.24442559200160274, 0.15896958364551972, 0.11037514116430513, 0.6563295894652734, 0.1381829513486138, 0.1965823616800535, 0.3687251706609641, 0.8209932298479351, 0.09710127579306127, 0.8379449074988039, 0.09609840789396307, 0.9764594650133958, 0.4686512016477016, 0.9767610881903371, 0.604845519745046, 0.7392635793983017, 0.039187792254320675, 0.2828069625764096, 0.1201965612131689, 0.29614019752214493, 0.11872771895424405, 0.317983179393976, 0.41426299451466997, 0.06414749634878436, 0.6924721193700198, 0.5666014542065752, 0.2653894909394454, 0.5232480534666997, 0.09394051075844168, 0.5759464955561793, 0.9292961975762141, 0.31856895245132366, 0.6674103799636817, 0.13179786240439217, 0.7163272041185655, 0.2894060929472011, 0.18319136200711683, 0.5865129348100832, 0.020107546187493552, 0.8289400292173631, 0.004695476192547066])].
[[{{node PyFunc}}]] [Op:IteratorGetNextSync]
nni version:2.6.1
I haven't encountered this problem before. Perhaps you can debug check the value and the type of these variables 'dataset2''dataset' File "E:\paper_code_final\FUNDED_NISL-main\FUNDED\cli_utils\trainingutils.py", line 65, in train , _, initial_valid_results = model.run_one_epoch_new(train_data,train_data_2, training=False, quiet=quiet) File "E:\paper_code_final\FUNDED_NISL-main\FUNDED\models\graph_task_model.py", line 347, in run_one_epoch_new for ((step, (batch_features, batch_labels)),(step_2, (batch_features_2, batch_labels_2))) in zip(enumerate(dataset),enumerate(dataset2)):
Thank you,I will try again.
When I try to run the command $ CUDA_VISIBLE_DEVICES=2 python train.py GGNN GraphBinaryClassification ../data/data/CWE-77 I encountered the following error: Invalid argument: TypeError:
generator
yielded an element that could not be converted to the expected type. The expected type was float32, but the yielded element was [list([0.5488135039273248, 0.7151893663724195, 0.6027633760716439, 0.5448831829968969, 0.4236547993389047, 0.6458941130666561, 0.4375872112626925, 0.8917730007820798, 0.9636627605010293, 0.3834415188257777, 0.7917250380826646, 0.5288949197529045, 0.5680445610939323, 0.925596638292661, 0.07103605819788694, 0.08712929970154071, 0.02021839744032572, 0.832619845547938, 0.7781567509498505, 0.8700121482468192, 0.978618342232764, 0.7991585642167236, 0.46147936225293185, 0.7805291762864555, 0.11827442586893322, 0.6399210213275238, 0.1433532874090464, 0.9446689170495839, 0.5218483217500717, 0.4146619399905236, 0.26455561210462697, 0.7742336894342167, 0.45615033221654855, 0.5684339488686485, 0.018789800436355142, 0.6176354970758771, 0.6120957227224214, 0.6169339968747569, 0.9437480785146242, 0.6818202991034834, 0.359507900573786, 0.43703195379934145, 0.6976311959272649, 0.06022547162926983, 0.6667667154456677, 0.6706378696181594, 0.2103825610738409, 0.1289262976548533, 0.31542835092418386, 0.3637107709426226, 0.5701967704178796, 0.43860151346232035, 0.9883738380592262, 0.10204481074802807, 0.2088767560948347, 0.16130951788499626, 0.6531083254653984, 0.2532916025397821, 0.4663107728563063, 0.24442559200160274, 0.15896958364551972, 0.11037514116430513, 0.6563295894652734, 0.1381829513486138, 0.1965823616800535, 0.3687251706609641, 0.8209932298479351, 0.09710127579306127, 0.8379449074988039, 0.09609840789396307, 0.9764594650133958, 0.4686512016477016, 0.9767610881903371, 0.604845519745046, 0.7392635793983017, 0.039187792254320675, 0.2828069625764096, 0.1201965612131689, 0.29614019752214493, 0.11872771895424405, 0.317983179393976, 0.41426299451466997, 0.06414749634878436, 0.6924721193700198, 0.5666014542065752, 0.2653894909394454, 0.5232480534666997, 0.09394051075844168, 0.5759464955561793, 0.9292961975762141, 0.31856895245132366, 0.6674103799636817, 0.13179786240439217, 0.7163272041185655, 0.2894060929472011, 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TypeError: float() argument must be a string or a number, not 'list'The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/home/rjd02/.conda/envs/rjd02_yangbo_newtensor/lib/python3.7/site-packages/tensorflow_core/python/data/ops/dataset_ops.py", line 601, in generator_py_func ret, dtype=dtype.as_numpy_dtype))
File "/home/rjd02/.conda/envs/rjd02_yangbo_newtensor/lib/python3.7/site-packages/tensorflow_core/python/ops/script_ops.py", line 181, in _convert result = np.asarray(value, dtype=dtype, order="C")
File "/home/rjd02/.conda/envs/rjd02_yangbo_newtensor/lib/python3.7/site-packages/numpy/core/_asarray.py", line 85, in asarray return array(a, dtype, copy=False, order=order)
ValueError: setting an array element with a sequence.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/rjd02/.conda/envs/rjd02_yangbo_newtensor/lib/python3.7/site-packages/tensorflow_core/python/ops/script_ops.py", line 221, in call ret = func(*args)
File "/home/rjd02/.conda/envs/rjd02_yangbo_newtensor/lib/python3.7/site-packages/tensorflow_core/python/data/ops/dataset_ops.py", line 606, in generator_py_func "element was %s." % (dtype.name, ret)) The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/rjd02/.conda/envs/rjd02_yangbo_newtensor/lib/python3.7/site-packages/tensorflow_core/python/data/ops/dataset_ops.py", line 601, in generator_py_func ret, dtype=dtype.as_numpy_dtype)) File "/home/rjd02/.conda/envs/rjd02_yangbo_newtensor/lib/python3.7/site-packages/tensorflow_core/python/ops/script_ops.py", line 181, in _convert result = np.asarray(value, dtype=dtype, order="C")
File "/home/rjd02/.conda/envs/rjd02_yangbo_newtensor/lib/python3.7/site-packages/numpy/core/_asarray.py", line 85, in asarray return array(a, dtype, copy=False, order=order)
ValueError: setting an array element with a sequence.
How can I fix the bug?