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question:{ "name": "ValueError", "message": "When passing a dataset to a Keras model, the arrays must be at least rank 1. Received: {'high_output_1d': array([[ 8.79217299e+00], [ 8.84339892e-01], [ 7.55902042e-01], [ 1.11906540e-01], [-2.26649447e-02], [-4.11701868e-01], [-5.68778841e-01], [ 5.85432460e-01], [-5.02327334e-01], [ 1.52637873e+00], [ 2.23464977e+00], [ 2.29235950e-01], [ 1.50940229e+00], [-5.23579976e-01], [-4.16326501e-01], [ 4.92877190e-02], [ 5.42060489e-02], [ 3.12979719e-01], [ 1.40941909e-01], [-4.95542371e-03], [ 1.96429079e-01], [-5.32675319e-01], [ 1.02765435e+00], [-2.93751310e-01], [ 1.92111487e+00], [ 9.38977297e-01], [-4.44392048e-01], [ 6.52754685e-02], [ 4.67296064e+00], [-2.50815330e-02], [ 1.56193473e+00], [-5.70026099e-01], [-2.85948033e-01], [ 3.00088762e-01], [ 1.20186367e+00], [ 1.22634695e+00], [-3.80834498e-01], [ 1.00077118e+00], [ 1.12641743e-01], [-4.37100319e-02], [ 1.45405367e+00], [ 6.49528231e-01], [-5.61224631e-01], [-4.32377906e-01], [-8.13504326e-02], [-3.33933058e-01], [-3.46453842e-01], [-2.39538075e-01], [ 6.51959971e-01], [ 2.52093706e+00], [-2.39324606e-01], [-4.79073157e-04], [-1.70394678e-01], [-5.42552270e-01], [-4.43487031e-01], [ 1.45189491e+00], [-3.76486529e-01], [ 1.70622454e-01], [ 1.33705161e+00], [ 2.82900771e-01], [-3.17095428e-01], [-6.55754874e-02], [ 1.70774551e-01], [-1.04341810e-01], [ 3.98202705e-01], [-4.68149980e-01], [-5.94507569e-01], [-4.16240397e-01], [-1.55905947e-01], [ 2.03732870e-01], [-4.72319210e-01], [ 1.31966277e+00]]), 'low_output_1d': array([[ 0.62222168], [ 0.50641497], [-0.6090518 ], [-0.22490433], [ 0.38988916], [-0.07180503], [-0.47035044], [ 0.82141432], [-1.17004721], [ 0.63709271], [ 0.53498097], [-0.02723523], [ 0.53917205], [-1.0045638 ], [-3.09418541], [-0.23573305], [-2.10687079], [-0.55468606], [ 0.48654386], [-0.7127193 ], [-1.20487145], [-1.63227043], [ 0.66007135], [-8.21289095], [-1.79706476], [-4.60779591], [-1.94973754], [-5.44184606], [ 0.52137756], [-1.70102634], [ 0.5151494 ], [-1.56606524], [-2.86856769], [-1.21492057], [-0.25423014], [ 0.01421622], [-0.44466742], [ 0.45018618], [ 0.619783 ], [-1.17005953], [ 0.6103516 ], [ 0.61889233], [-1.75820998], [-2.11729097], [-0.39898939], [-1.10658574], [-1.24708922], [-0.59100492], [ 0.1219168 ], [ 0.32716717], [ 0.08521251], [-0.11573405], [-0.72660666], [-1.14529386], [-0.07100378], [-0.42453936], [-3.48321905], [-3.22402981], [-0.13042889], [-0.30978229], [-1.84511656], [-0.22848678], [ 0.41075251], [-0.49965728], [ 0.72595419], [-0.6290018 ], [-0.74311692], [ 0.01713297], [ 0.35140018], [ 0.28823087], [-0.48991381], [ 0.84596564]]), 'priority_output_1d': array([[-1.00722611], [-1.00722611], [-1.00722611], [ 0.99282573], [-1.00722611], [ 0.99282573], [ 0.99282573], [-1.00722611], [ 0.99282573], [-1.00722611], [-1.00722611], [-1.00722611], [-1.00722611], [ 0.99282573], [ 0.99282573], [-1.00722611], [ 0.99282573], [ 0.99282573], [-1.00722611], [ 0.99282573], [ 0.99282573], [ 0.99282573], [-1.00722611], [ 0.99282573], [-1.00722611], [ 0.99282573], [ 0.99282573], [ 0.99282573], [-1.00722611], [ 0.99282573], [-1.00722611], [ 0.99282573], [ 0.99282573], [ 0.99282573], [-1.00722611], [-1.00722611], [ 0.99282573], [-1.00722611], [-1.00722611], [-1.00722611], [-1.00722611], [-1.00722611], [ 0.99282573], [ 0.99282573], [-1.00722611], [ 0.99282573], [ 0.99282573], [-1.00722611], [-1.00722611], [-1.00722611], [ 0.99282573], [ 0.99282573], [ 0.99282573], [ 0.99282573], [ 0.99282573], [-1.00722611], [ 0.99282573], [ 0.99282573], [-1.00722611], [-1.00722611], [ 0.99282573], [ 0.99282573], [-1.00722611], [ 0.99282573], [-1.00722611], [ 0.99282573], [ 0.99282573], [-1.00722611], [-1.00722611], [-1.00722611], [-1.00722611], [-1.00722611]]), 'high_output_2d': array([[ 5.93195112e+00], [ 1.38234890e+00], [ 5.47186882e-01], [-1.17218450e-01], [-2.10999641e-01], [-4.82114627e-01], [-3.49111146e-02], [ 2.12775865e-01], [-6.00258826e-02], [ 2.69754835e+00], [ 1.36209487e+00], [ 8.17323170e-01], [ 8.56678929e-01], [-5.60081087e-01], [-4.85337476e-01], [ 3.05186246e-01], [-1.57429203e-01], [ 2.29069439e-02], [ 2.47855747e-02], [-1.98658097e-01], [-5.83157454e-02], [-2.20404574e-01], [ 5.47992380e-01], [-3.99916353e-01], [ 1.49107851e+00], [ 4.59156859e-01], [-5.04896006e-01], [ 1.49296426e+00], [ 3.06132334e+00], [ 7.16719071e-01], [ 8.93288131e-01], [-5.92448812e-01], [-3.94478346e-01], [ 3.10091035e-02], [ 1.77167650e+00], [ 6.59421187e-01], [ 2.47216135e-01], [ 5.54774159e-01], [ 5.19199504e-02], [ 5.43345110e-01], [ 9.98295765e-01], [ 2.57443410e-01], [-5.86315178e-01], [-4.96523500e-01], [-2.09686055e-01], [-4.27918512e-01], [-4.36644091e-01], [ 2.18096856e-01], [ 2.55430992e+00], [ 1.56160491e+00], [-5.44706096e-02], [-1.95538584e-01], [-3.13950652e-01], [-5.73302643e-01], [ 3.94407937e-01], [ 8.16602752e-01], [-4.57573496e-01], [-7.63000604e-02], [ 7.36569889e-01], [ 1.94529970e-03], [-4.16184577e-01], [-3.65386694e-02], [ 2.37737179e-01], [-8.60126399e-03], [ 8.22977813e-02], [-5.21452613e-01], [-6.09509643e-01], [-2.16428747e-01], [ 2.45915781e-01], [-5.32258238e-02], [ 5.66537814e-01], [ 8.31274632e-01]]), 'low_output_2d': array([[ 0.73460625], [ 0.64671157], [-0.19990256], [ 0.09165671], [ 0.5582711 ], [-0.39642705], [-0.09463135], [ 0.52442862], [-0.67282313], [ 0.74589302], [ 0.66839252], [ 0.2416831 ], [ 0.67157345], [-2.66241052], [-2.08606292], [-0.65998524], [-1.98286003], [-0.15864018], [ 0.08001662], [-1.6989241 ], [-1.22777353], [-0.97650242], [-5.11315829], [-5.971045 ], [-2.06402195], [-3.23485916], [-5.0190101 ], [-3.86788442], [ 0.65806784], [-1.02868661], [ 0.65334081], [-2.39117122], [-2.63411308], [-0.84146959], [ 0.06939908], [ 0.27314382], [-0.07513852], [ 0.60403519], [-0.19094916], [-0.62569477], [ 0.72559712], [-0.36975717], [-2.82820373], [-1.34462207], [-0.22531267], [-1.36886125], [-1.31274648], [-0.18620538], [ 0.35488613], [ 0.51066653], [ 0.3270284 ], [-0.78666465], [-1.25822529], [-0.71969117], [-0.67043215], [-1.06784349], [-4.47822764], [-2.18461189], [ 0.16336144], [-0.62637131], [-1.75632453], [ 0.08893772], [ 0.57410592], [-0.11687458], [ 0.14413867], [-0.33238227], [-0.58863737], [ 0.27535756], [ 0.52905884], [ 0.12669226], [-0.10947951], [ 0.90442287]]), 'priority_output_2d': array([[-1.03916644], [-1.03916644], [-1.03916644], [ 0.96230975], [-1.03916644], [ 0.96230975], [-1.03916644], [ 0.96230975], [-1.03916644], [-1.03916644], [-1.03916644], [-1.03916644], [-1.03916644], [ 0.96230975], [ 0.96230975], [ 0.96230975], [ 0.96230975], [ 0.96230975], [ 0.96230975], [ 0.96230975], [ 0.96230975], [-1.03916644], [ 0.96230975], [ 0.96230975], [ 0.96230975], [ 0.96230975], [ 0.96230975], [-1.03916644], [-1.03916644], [-1.03916644], [-1.03916644], [ 0.96230975], [ 0.96230975], [-1.03916644], [-1.03916644], [-1.03916644], [-1.03916644], [-1.03916644], [-1.03916644], [-1.03916644], [-1.03916644], [ 0.96230975], [ 0.96230975], [ 0.96230975], [ 0.96230975], [ 0.96230975], [ 0.96230975], [-1.03916644], [-1.03916644], [-1.03916644], [-1.03916644], [ 0.96230975], [ 0.96230975], [ 0.96230975], [-1.03916644], [ 0.96230975], [ 0.96230975], [ 0.96230975], [-1.03916644], [ 0.96230975], [ 0.96230975], [-1.03916644], [-1.03916644], [-1.03916644], [ 0.96230975], [ 0.96230975], [ 0.96230975], [-1.03916644], [-1.03916644], [ 0.96230975], [-1.03916644], [-1.03916644]]), 'high_output_3d': array([[ 4.71621415], [ 1.19804116], [ 0.31770009], [-0.22501563], [-0.30162026], [-0.31233449], [-0.15778335], [ 0.43421314], [ 1.16057897], [ 2.07421064], [ 1.29344201], [ 0.53835938], [ 0.57050691], [-0.58676546], [-0.52571156], [ 0.12002325], [-0.25786155], [-0.110555 ], [-0.10902045], [-0.29153914], [-0.17690129], [-0.28912251], [ 0.31835806], [-0.4559358 ], [ 1.08871261], [ 0.24579327], [ 0.09608714], [ 1.09025297], [ 2.37135817], [ 0.4561815 ], [ 0.60041093], [-0.61320485], [-0.4514938 ], [ 0.75382567], [ 1.31791747], [ 0.82779958], [ 0.11432236], [ 0.4732649 ], [ 0.56352854], [ 0.45719911], [ 0.68618582], [ 0.08102478], [-0.60819462], [-0.5348488 ], [-0.30054726], [-0.47880921], [-0.48593665], [ 1.91444741], [ 1.95720714], [ 1.28850081], [-0.17376041], [-0.28899098], [-0.38571521], [-0.29623437], [ 0.19290348], [ 0.53777091], [-0.50303271], [-0.19159167], [ 0.47239652], [-0.1276774 ], [-0.46922441], [ 0.0985919 ], [ 0.29047466], [-0.1362923 ], [-0.06204193], [-0.55521201], [-0.62714089], [ 0.14807491], [ 0.07160851], [ 0.46365286], [ 0.41919798], [ 0.54975556]]), 'low_output_3d': array([[ 7.93821628e-01], [ 7.18894557e-01], [-2.81372512e-03], [ 2.45730132e-01], [ 1.87258780e-01], [-1.70343833e-01], [ 8.69262170e-02], [ 5.70708808e-01], [-4.05961609e-01], [ 8.03443200e-01], [ 7.37376790e-01], [ 3.73622262e-01], [-9.10629954e-01], [-2.10201374e+00], [-1.74373748e+00], [-9.78029617e-01], [-1.52272124e+00], [ 3.23609722e-02], [-1.00934287e+00], [-1.72951192e+00], [-8.79036989e-01], [-4.76495181e+00], [-4.19118861e+00], [-5.20082219e+00], [-1.59190887e+00], [-5.02233072e+00], [-4.11093064e+00], [-3.12963715e+00], [ 7.28575370e-01], [-7.09322501e-01], [-1.97269000e-01], [-2.45740698e+00], [-2.20784836e+00], [-5.49726690e-01], [ 2.26756294e-01], [ 4.00441400e-01], [ 1.03543158e-01], [ 6.82514466e-01], [ 4.81872944e-03], [-3.65786369e-01], [ 7.86141671e-01], [-1.73341638e+00], [-2.24334653e+00], [-1.00598601e+00], [-7.18323866e-01], [-1.50515958e+00], [-9.51473387e-01], [ 8.86262682e-03], [ 4.70123801e-01], [ 6.02921021e-01], [-3.17845272e-01], [-1.29657630e+00], [-9.96059673e-01], [-1.14215218e+00], [-1.22237889e+00], [-2.75313245e+00], [-3.64993293e+00], [-1.69470749e+00], [ 3.06855844e-01], [-9.16321685e-01], [-1.32960783e+00], [ 2.43412283e-01], [ 6.57000836e-01], [ 6.79646580e-02], [ 1.87613539e-01], [-3.59794214e-01], [-3.34196260e-01], [ 4.02328539e-01], [ 6.18599808e-01], [ 2.75596678e-01], [ 7.42686937e-02], [ 8.03640765e-01]]), 'priority_output_3d': array([[-1.02860908], [-1.02860908], [-1.02860908], [ 0.97218664], [ 0.97218664], [-1.02860908], [-1.02860908], [-1.02860908], [-1.02860908], [-1.02860908], [-1.02860908], [-1.02860908], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [-1.02860908], [-1.02860908], [-1.02860908], [-1.02860908], [ 0.97218664], [ 0.97218664], [ 0.97218664], [-1.02860908], [-1.02860908], [-1.02860908], [-1.02860908], [-1.02860908], [-1.02860908], [-1.02860908], [-1.02860908], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [-1.02860908], [-1.02860908], [-1.02860908], [ 0.97218664], [ 0.97218664], [ 0.97218664], [-1.02860908], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [-1.02860908], [ 0.97218664], [ 0.97218664], [-1.02860908], [-1.02860908], [-1.02860908], [ 0.97218664], [ 0.97218664], [ 0.97218664], [-1.02860908], [-1.02860908], [-1.02860908], [-1.02860908], [ 0.97218664]]), 'high_output_5d': array([[ 3.43085352], [ 0.74774032], [ 0.07635356], [-0.30611401], [-0.24030393], [-0.12262669], [ 1.08529305], [ 1.28186013], [ 0.96109604], [ 1.68590853], [ 0.82049719], [ 0.24463803], [ 0.26915515], [-0.61343158], [-0.5668692 ], [-0.07440348], [-0.36259502], [-0.25025257], [-0.24908226], [-0.38827902], [-0.30085117], [-0.386436 ], [ 0.07685536], [-0.51365514], [ 0.66436156], [ 0.02151426], [-0.0926582 ], [ 0.66553631], [ 1.64256339], [ 0.18196556], [ 0.29196126], [-0.63359542], [-0.50970055], [ 0.74347945], [ 1.23870945], [ 0.62348067], [ 0.55365573], [ 0.85500748], [ 0.37646281], [ 0.18274164], [ 0.35737696], [-0.10414542], [-0.6297744 ], [-0.57383766], [-0.39514902], [ 0.37495315], [ 0.71109134], [ 1.41311926], [ 1.4463189 ], [ 0.81672882], [-0.29845579], [-0.38633569], [-0.46010183], [-0.39185981], [-0.01882181], [ 0.24418924], [-0.54957331], [-0.3120547 ], [ 0.19433186], [-0.26331086], [-0.52378961], [ 0.082117 ], [ 0.05559025], [-0.26988097], [-0.21325437], [-0.40819043], [-0.39626074], [ 0.45610495], [ 0.46116255], [ 0.25422073], [ 0.15376031], [ 0.25332925]]), 'low_output_5d': array([[ 0.86909012], [ 0.80749677], [ 0.21422077], [ 0.252387 ], [ 0.37046874], [ 0.07650364], [ 0.28799096], [ 0.68568156], [-0.11718455], [ 0.87699948], [ 0.27715391], [-0.56802764], [-0.64970248], [-2.01012908], [-1.63428184], [-0.58744965], [-1.79860871], [-1.02546824], [-0.9926242 ], [-4.22306789], [-3.80560759], [-3.93534411], [-3.48586234], [-5.42562259], [-3.33341254], [-3.91204331], [-3.1628323 ], [-2.35616582], [ 0.81545482], [-0.67887223], [-0.63908216], [-1.90576727], [-1.59841483], [-0.23536578], [ 0.40293744], [ 0.54571425], [ 0.30165081], [ 0.77759073], [ 0.22049498], [-0.79445333], [-0.54246703], [-1.22916553], [-2.09930931], [-1.5179469 ], [-0.80166265], [-1.0207737 ], [-0.56561926], [ 0.22381925], [ 0.60299625], [ 0.71216141], [-0.78197709], [-1.44190642], [-1.73645564], [-2.81041725], [-2.36248074], [-2.04666238], [-2.78387187], [-1.17659044], [ 0.171719 ], [-0.53672301], [-0.87646243], [ 0.41662939], [ 0.7566174 ], [ 0.0657029 ], [ 0.16446958], [-0.07923292], [-0.05819027], [ 0.54726556], [ 0.72505007], [ 0.44308639], [ 0.27758591], [ 0.68488414]]), 'priority_output_5d': array([[-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [-1.02532046], [-1.02532046], [-1.02532046], [ 0.97530483], [ 0.97530483], [ 0.97530483], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [-1.02532046], [-1.02532046], [ 0.97530483], [ 0.97530483], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [ 0.97530483]])} of rank 0.", "stack": "--------------------------------------------------------------------------- ValueError Traceback (most recent call last) Cell In[57], line 3 1 model = build_model() ----> 3 history = model.fit(data_generator(), steps_per_epoch=100, epochs=10) File c:UsersarisaAppDataLocalProgramsPythonPython310libsite-packageskerassrcutilstraceback_utils.py:122, in filter_traceback.<locals>.error_handler(*args, **kwargs) 119 filtered_tb = _process_traceback_frames(e.__traceback__) 120 # To get the full stack trace, call: 121 # `keras.config.disable_traceback_filtering()` --> 122 raise e.with_traceback(filtered_tb) from None 123 finally: 124 del filtered_tb File c:UsersarisaAppDataLocalProgramsPythonPython310libsite-packagesoptreeops.py:594, in tree_map(func, tree, is_leaf, none_is_leaf, namespace, *rests) 592 leaves, treespec = _C.flatten(tree, is_leaf, none_is_leaf, namespace) 593 flat_args = [leaves] + [treespec.flatten_up_to(r) for r in rests] --> 594 return treespec.unflatten(map(func, *flat_args)) ValueError: When passing a dataset to a Keras model, the arrays must be at least rank 1. Received: {'high_output_1d': array([[ 8.79217299e+00], [ 8.84339892e-01], [ 7.55902042e-01], [ 1.11906540e-01], [-2.26649447e-02], [-4.11701868e-01], [-5.68778841e-01], [ 5.85432460e-01], [-5.02327334e-01], [ 1.52637873e+00], [ 2.23464977e+00], [ 2.29235950e-01], [ 1.50940229e+00], [-5.23579976e-01], [-4.16326501e-01], [ 4.92877190e-02], [ 5.42060489e-02], [ 3.12979719e-01], [ 1.40941909e-01], [-4.95542371e-03], [ 1.96429079e-01], [-5.32675319e-01], [ 1.02765435e+00], [-2.93751310e-01], [ 1.92111487e+00], [ 9.38977297e-01], [-4.44392048e-01], [ 6.52754685e-02], [ 4.67296064e+00], [-2.50815330e-02], [ 1.56193473e+00], [-5.70026099e-01], [-2.85948033e-01], [ 3.00088762e-01], [ 1.20186367e+00], [ 1.22634695e+00], [-3.80834498e-01], [ 1.00077118e+00], [ 1.12641743e-01], [-4.37100319e-02], [ 1.45405367e+00], [ 6.49528231e-01], [-5.61224631e-01], [-4.32377906e-01], [-8.13504326e-02], [-3.33933058e-01], [-3.46453842e-01], [-2.39538075e-01], [ 6.51959971e-01], [ 2.52093706e+00], [-2.39324606e-01], [-4.79073157e-04], [-1.70394678e-01], [-5.42552270e-01], [-4.43487031e-01], [ 1.45189491e+00], [-3.76486529e-01], [ 1.70622454e-01], [ 1.33705161e+00], [ 2.82900771e-01], [-3.17095428e-01], [-6.55754874e-02], [ 1.70774551e-01], [-1.04341810e-01], [ 3.98202705e-01], [-4.68149980e-01], [-5.94507569e-01], [-4.16240397e-01], [-1.55905947e-01], [ 2.03732870e-01], [-4.72319210e-01], [ 1.31966277e+00]]), 'low_output_1d': array([[ 0.62222168], [ 0.50641497], [-0.6090518 ], [-0.22490433], [ 0.38988916], [-0.07180503], [-0.47035044], [ 0.82141432], [-1.17004721], [ 0.63709271], [ 0.53498097], [-0.02723523], [ 0.53917205], [-1.0045638 ], [-3.09418541], [-0.23573305], [-2.10687079], [-0.55468606], [ 0.48654386], [-0.7127193 ], [-1.20487145], [-1.63227043], [ 0.66007135], [-8.21289095], [-1.79706476], [-4.60779591], [-1.94973754], [-5.44184606], [ 0.52137756], [-1.70102634], [ 0.5151494 ], [-1.56606524], [-2.86856769], [-1.21492057], [-0.25423014], [ 0.01421622], [-0.44466742], [ 0.45018618], [ 0.619783 ], [-1.17005953], [ 0.6103516 ], [ 0.61889233], [-1.75820998], [-2.11729097], [-0.39898939], [-1.10658574], [-1.24708922], [-0.59100492], [ 0.1219168 ], [ 0.32716717], [ 0.08521251], [-0.11573405], [-0.72660666], [-1.14529386], [-0.07100378], [-0.42453936], [-3.48321905], [-3.22402981], [-0.13042889], [-0.30978229], [-1.84511656], [-0.22848678], [ 0.41075251], [-0.49965728], [ 0.72595419], [-0.6290018 ], [-0.74311692], [ 0.01713297], [ 0.35140018], [ 0.28823087], [-0.48991381], [ 0.84596564]]), 'priority_output_1d': array([[-1.00722611], [-1.00722611], [-1.00722611], [ 0.99282573], [-1.00722611], [ 0.99282573], [ 0.99282573], [-1.00722611], [ 0.99282573], [-1.00722611], [-1.00722611], [-1.00722611], [-1.00722611], [ 0.99282573], [ 0.99282573], [-1.00722611], [ 0.99282573], [ 0.99282573], [-1.00722611], [ 0.99282573], [ 0.99282573], [ 0.99282573], [-1.00722611], [ 0.99282573], [-1.00722611], [ 0.99282573], [ 0.99282573], [ 0.99282573], [-1.00722611], [ 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2.29069439e-02], [ 2.47855747e-02], [-1.98658097e-01], [-5.83157454e-02], [-2.20404574e-01], [ 5.47992380e-01], [-3.99916353e-01], [ 1.49107851e+00], [ 4.59156859e-01], [-5.04896006e-01], [ 1.49296426e+00], [ 3.06132334e+00], [ 7.16719071e-01], [ 8.93288131e-01], [-5.92448812e-01], [-3.94478346e-01], [ 3.10091035e-02], [ 1.77167650e+00], [ 6.59421187e-01], [ 2.47216135e-01], [ 5.54774159e-01], [ 5.19199504e-02], [ 5.43345110e-01], [ 9.98295765e-01], [ 2.57443410e-01], [-5.86315178e-01], [-4.96523500e-01], [-2.09686055e-01], [-4.27918512e-01], [-4.36644091e-01], [ 2.18096856e-01], [ 2.55430992e+00], [ 1.56160491e+00], [-5.44706096e-02], [-1.95538584e-01], [-3.13950652e-01], [-5.73302643e-01], [ 3.94407937e-01], [ 8.16602752e-01], [-4.57573496e-01], [-7.63000604e-02], [ 7.36569889e-01], [ 1.94529970e-03], [-4.16184577e-01], [-3.65386694e-02], [ 2.37737179e-01], [-8.60126399e-03], [ 8.22977813e-02], [-5.21452613e-01], [-6.09509643e-01], [-2.16428747e-01], [ 2.45915781e-01], [-5.32258238e-02], [ 5.66537814e-01], [ 8.31274632e-01]]), 'low_output_2d': array([[ 0.73460625], [ 0.64671157], [-0.19990256], [ 0.09165671], [ 0.5582711 ], [-0.39642705], [-0.09463135], [ 0.52442862], [-0.67282313], [ 0.74589302], [ 0.66839252], [ 0.2416831 ], [ 0.67157345], [-2.66241052], [-2.08606292], [-0.65998524], [-1.98286003], [-0.15864018], [ 0.08001662], [-1.6989241 ], [-1.22777353], [-0.97650242], [-5.11315829], [-5.971045 ], [-2.06402195], [-3.23485916], [-5.0190101 ], [-3.86788442], [ 0.65806784], [-1.02868661], [ 0.65334081], [-2.39117122], [-2.63411308], [-0.84146959], [ 0.06939908], [ 0.27314382], [-0.07513852], [ 0.60403519], [-0.19094916], [-0.62569477], [ 0.72559712], [-0.36975717], [-2.82820373], [-1.34462207], [-0.22531267], [-1.36886125], [-1.31274648], [-0.18620538], [ 0.35488613], [ 0.51066653], [ 0.3270284 ], [-0.78666465], [-1.25822529], [-0.71969117], [-0.67043215], [-1.06784349], [-4.47822764], [-2.18461189], [ 0.16336144], [-0.62637131], [-1.75632453], [ 0.08893772], [ 0.57410592], [-0.11687458], [ 0.14413867], [-0.33238227], [-0.58863737], [ 0.27535756], [ 0.52905884], [ 0.12669226], [-0.10947951], [ 0.90442287]]), 'priority_output_2d': array([[-1.03916644], [-1.03916644], [-1.03916644], [ 0.96230975], [-1.03916644], [ 0.96230975], [-1.03916644], [ 0.96230975], [-1.03916644], [-1.03916644], [-1.03916644], [-1.03916644], [-1.03916644], [ 0.96230975], [ 0.96230975], [ 0.96230975], [ 0.96230975], [ 0.96230975], [ 0.96230975], [ 0.96230975], [ 0.96230975], [-1.03916644], [ 0.96230975], [ 0.96230975], [ 0.96230975], [ 0.96230975], [ 0.96230975], [-1.03916644], [-1.03916644], [-1.03916644], [-1.03916644], [ 0.96230975], [ 0.96230975], [-1.03916644], [-1.03916644], [-1.03916644], [-1.03916644], [-1.03916644], [-1.03916644], [-1.03916644], [-1.03916644], [ 0.96230975], [ 0.96230975], [ 0.96230975], [ 0.96230975], [ 0.96230975], [ 0.96230975], [-1.03916644], [-1.03916644], [-1.03916644], [-1.03916644], [ 0.96230975], [ 0.96230975], [ 0.96230975], [-1.03916644], [ 0.96230975], [ 0.96230975], [ 0.96230975], [-1.03916644], [ 0.96230975], [ 0.96230975], [-1.03916644], [-1.03916644], [-1.03916644], [ 0.96230975], [ 0.96230975], [ 0.96230975], [-1.03916644], [-1.03916644], [ 0.96230975], [-1.03916644], [-1.03916644]]), 'high_output_3d': array([[ 4.71621415], [ 1.19804116], [ 0.31770009], [-0.22501563], [-0.30162026], [-0.31233449], [-0.15778335], [ 0.43421314], [ 1.16057897], [ 2.07421064], [ 1.29344201], [ 0.53835938], [ 0.57050691], [-0.58676546], [-0.52571156], [ 0.12002325], [-0.25786155], [-0.110555 ], [-0.10902045], [-0.29153914], [-0.17690129], [-0.28912251], [ 0.31835806], [-0.4559358 ], [ 1.08871261], [ 0.24579327], [ 0.09608714], [ 1.09025297], [ 2.37135817], [ 0.4561815 ], [ 0.60041093], [-0.61320485], [-0.4514938 ], [ 0.75382567], [ 1.31791747], [ 0.82779958], [ 0.11432236], [ 0.4732649 ], [ 0.56352854], [ 0.45719911], [ 0.68618582], [ 0.08102478], [-0.60819462], [-0.5348488 ], [-0.30054726], [-0.47880921], [-0.48593665], [ 1.91444741], [ 1.95720714], [ 1.28850081], [-0.17376041], [-0.28899098], [-0.38571521], [-0.29623437], [ 0.19290348], [ 0.53777091], [-0.50303271], [-0.19159167], [ 0.47239652], [-0.1276774 ], [-0.46922441], [ 0.0985919 ], [ 0.29047466], [-0.1362923 ], [-0.06204193], [-0.55521201], [-0.62714089], [ 0.14807491], [ 0.07160851], [ 0.46365286], [ 0.41919798], [ 0.54975556]]), 'low_output_3d': array([[ 7.93821628e-01], [ 7.18894557e-01], [-2.81372512e-03], [ 2.45730132e-01], [ 1.87258780e-01], [-1.70343833e-01], [ 8.69262170e-02], [ 5.70708808e-01], [-4.05961609e-01], [ 8.03443200e-01], [ 7.37376790e-01], [ 3.73622262e-01], [-9.10629954e-01], [-2.10201374e+00], [-1.74373748e+00], [-9.78029617e-01], [-1.52272124e+00], [ 3.23609722e-02], [-1.00934287e+00], [-1.72951192e+00], [-8.79036989e-01], [-4.76495181e+00], [-4.19118861e+00], [-5.20082219e+00], [-1.59190887e+00], [-5.02233072e+00], [-4.11093064e+00], [-3.12963715e+00], [ 7.28575370e-01], [-7.09322501e-01], [-1.97269000e-01], [-2.45740698e+00], [-2.20784836e+00], [-5.49726690e-01], [ 2.26756294e-01], [ 4.00441400e-01], [ 1.03543158e-01], [ 6.82514466e-01], [ 4.81872944e-03], [-3.65786369e-01], [ 7.86141671e-01], [-1.73341638e+00], [-2.24334653e+00], [-1.00598601e+00], [-7.18323866e-01], [-1.50515958e+00], [-9.51473387e-01], [ 8.86262682e-03], [ 4.70123801e-01], [ 6.02921021e-01], [-3.17845272e-01], [-1.29657630e+00], [-9.96059673e-01], [-1.14215218e+00], [-1.22237889e+00], [-2.75313245e+00], [-3.64993293e+00], [-1.69470749e+00], [ 3.06855844e-01], [-9.16321685e-01], [-1.32960783e+00], [ 2.43412283e-01], [ 6.57000836e-01], [ 6.79646580e-02], [ 1.87613539e-01], [-3.59794214e-01], [-3.34196260e-01], [ 4.02328539e-01], [ 6.18599808e-01], [ 2.75596678e-01], [ 7.42686937e-02], [ 8.03640765e-01]]), 'priority_output_3d': array([[-1.02860908], [-1.02860908], [-1.02860908], [ 0.97218664], [ 0.97218664], [-1.02860908], [-1.02860908], [-1.02860908], [-1.02860908], [-1.02860908], [-1.02860908], [-1.02860908], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [-1.02860908], [-1.02860908], [-1.02860908], [-1.02860908], [ 0.97218664], [ 0.97218664], [ 0.97218664], [-1.02860908], [-1.02860908], [-1.02860908], [-1.02860908], [-1.02860908], [-1.02860908], [-1.02860908], [-1.02860908], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [-1.02860908], [-1.02860908], [-1.02860908], [ 0.97218664], [ 0.97218664], [ 0.97218664], [-1.02860908], [ 0.97218664], [ 0.97218664], [ 0.97218664], [ 0.97218664], [-1.02860908], [ 0.97218664], [ 0.97218664], [-1.02860908], [-1.02860908], [-1.02860908], [ 0.97218664], [ 0.97218664], [ 0.97218664], [-1.02860908], [-1.02860908], [-1.02860908], [-1.02860908], [ 0.97218664]]), 'high_output_5d': array([[ 3.43085352], [ 0.74774032], [ 0.07635356], [-0.30611401], [-0.24030393], [-0.12262669], [ 1.08529305], [ 1.28186013], [ 0.96109604], [ 1.68590853], [ 0.82049719], [ 0.24463803], [ 0.26915515], [-0.61343158], [-0.5668692 ], [-0.07440348], [-0.36259502], [-0.25025257], [-0.24908226], [-0.38827902], [-0.30085117], [-0.386436 ], [ 0.07685536], [-0.51365514], [ 0.66436156], [ 0.02151426], [-0.0926582 ], [ 0.66553631], [ 1.64256339], [ 0.18196556], [ 0.29196126], [-0.63359542], [-0.50970055], [ 0.74347945], [ 1.23870945], [ 0.62348067], [ 0.55365573], [ 0.85500748], [ 0.37646281], [ 0.18274164], [ 0.35737696], [-0.10414542], [-0.6297744 ], [-0.57383766], [-0.39514902], [ 0.37495315], [ 0.71109134], [ 1.41311926], [ 1.4463189 ], [ 0.81672882], [-0.29845579], [-0.38633569], [-0.46010183], [-0.39185981], [-0.01882181], [ 0.24418924], [-0.54957331], [-0.3120547 ], [ 0.19433186], [-0.26331086], [-0.52378961], [ 0.082117 ], [ 0.05559025], [-0.26988097], [-0.21325437], [-0.40819043], [-0.39626074], [ 0.45610495], [ 0.46116255], [ 0.25422073], [ 0.15376031], [ 0.25332925]]), 'low_output_5d': array([[ 0.86909012], [ 0.80749677], [ 0.21422077], [ 0.252387 ], [ 0.37046874], [ 0.07650364], [ 0.28799096], [ 0.68568156], [-0.11718455], [ 0.87699948], [ 0.27715391], [-0.56802764], [-0.64970248], [-2.01012908], [-1.63428184], [-0.58744965], [-1.79860871], [-1.02546824], [-0.9926242 ], [-4.22306789], [-3.80560759], [-3.93534411], [-3.48586234], [-5.42562259], [-3.33341254], [-3.91204331], [-3.1628323 ], [-2.35616582], [ 0.81545482], [-0.67887223], [-0.63908216], [-1.90576727], [-1.59841483], [-0.23536578], [ 0.40293744], [ 0.54571425], [ 0.30165081], [ 0.77759073], [ 0.22049498], [-0.79445333], [-0.54246703], [-1.22916553], [-2.09930931], [-1.5179469 ], [-0.80166265], [-1.0207737 ], [-0.56561926], [ 0.22381925], [ 0.60299625], [ 0.71216141], [-0.78197709], [-1.44190642], [-1.73645564], [-2.81041725], [-2.36248074], [-2.04666238], [-2.78387187], [-1.17659044], [ 0.171719 ], [-0.53672301], [-0.87646243], [ 0.41662939], [ 0.7566174 ], [ 0.0657029 ], [ 0.16446958], [-0.07923292], [-0.05819027], [ 0.54726556], [ 0.72505007], [ 0.44308639], [ 0.27758591], [ 0.68488414]]), 'priority_output_5d': array([[-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [-1.02532046], [-1.02532046], [-1.02532046], [ 0.97530483], [ 0.97530483], [ 0.97530483], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [ 0.97530483], [-1.02532046], [-1.02532046], [ 0.97530483], [ 0.97530483], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [-1.02532046], [ 0.97530483]])} of rank 0." }

answer:The output of your `data_generator` yields a structure that includes arrays of the correct structure, as in your provided error message each output (e.g., 'high_output_1d', 'low_output_1d', etc.) is correctly shaped as arrays with shape `(batch_size, 1)`. This means the initial advice on reshaping the outputs is correctly applied. However, the error message you're still receiving indicates a potential misunderstanding or miscommunication. If the provided error message is indeed correct and each of your outputs is properly shaped as 2D arrays, then the issue might not be with the data structure itself but potentially with how the model's `fit` method handles or interprets generator output, or an issue elsewhere not depicted by the provided information. Let's try to revisit some basics and additional trouble-shooting steps: # Verify Model Output Layers Ensure that your model's output layers and the dictionary keys from the `data_generator` precisely match in names and structure. This includes: - Having output layer names exactly match the keys in the dictionary yielded by the generator. - Ensuring you have the correct number of units in each output layer corresponding to the structure of your data. # Debugging Steps 1. **Check Generator Output Directly**: Before fitting the model, directly iterate over your generator to confirm that every yielded batch has the correct structure. This helps isolate the issue to either the generator or the model fitting process. ```python for X_batch, Y_batch in data_generator(): print(X_batch.shape) for key, value in Y_batch.items(): print(key, value.shape) break # Remove or comment this to see shapes for all batches ``` 2. **Simplify the Problem**: Temporarily modify your model and generator to handle a simplified scenario, such as a single output, to verify that the basic workflow functions as expected. If this works, incrementally add complexity to identify at what point the issue arises. 3. **Keras Model `fit` Input**: The TensorFlow/Keras model's `fit` function documentation and examples should provide more insights into expected input formats. Double-check against your implementation to ensure compatibility. 4. **Keras Version and Compatibility**: Ensure your Keras/TensorFlow version is up to date, or at least it's compatible with the code examples or tutorials you are following. Occasionally, syntax or functional expectations can evolve. 5. **Manual Validation**: Temporarily replace the generator in the `fit` call with arrays to double-check that your model can train with fixed arrays mimicking the generator output. This might help identify if the problem is with the generator or the model configuration. If after these steps, the issue is not clarified or resolved, the problem might be more subtle or require a more detailed inspection of the data, the model architecture, or the specific version of the libraries you're using.

question:滑板項目成功被奧委會納入其中一個奧運項目對全球滑板文化所帶來的轉變和影響

answer:滑板項目於2020年東京奧運首次被列入奧運比賽項目，象徵著滑板運動正式獲得全球體育界的認同與尊重。這一重大轉變為全球滑板文化帶來了以下幾方面的影響： 1. **提升了滑板運動的正式性與合法性**：過去，滑板文化經常被視為叛逆的象徵，經常與街頭文化及塗鴉藝術聯繫在一起。而被奧委會納入正式賽事，意味著滑板運動不再只是街頭文化的一部分，它已經被全球體育界接納為一項正式的競技運動。 2. **促進了全球滑板運動的普及與發展**：隨著滑板運動進入奧運，這項運動的普及度和參與度有顯著提升。各國政府和體育組織開始投資滑板場地建設，並推廣滑板運動，使得更多人能夠接觸和了解滑板。 3. **滑板文化的主流化**：滑板作為奧運比賽項目，增加了它在主流媒體中的曝光度。滑板文化的多元和創意也因此被更多人所了解和接受，進一步推進了滑板文化的主流化過程。 4. **鼓舞了年輕運動員**：滑板進入奧運，對許多年輕滑板愛好者來說是一個巨大的鼓舞。它不僅為年輕滑板運動員提供了追逐奧運夢想的可能，也讓更多年輕人看到了通過自己的努力，將個人愛好提升為職業生涯的希望和途徑。 5. **增加了滑板產品和贊助的商機**：作為奧運項目，滑板比賽吸引了全球觀眾的關注，這直接促進了滑板產品的市場銷售，同時吸引了更多品牌的贊助，為滑板運動員提供了更多的資源和支持。總而言之，滑板項目成功被奧委會納入奧運，不僅促進了滑板運動的全球化發展，也為滑板文化帶來了前所未有的關注度和機遇，進一步促進了滑板運動與滑板文化的發展和普及。

question:more

answer:滑板作为奥运项目的纳入，不仅仅改变了全球对滑板运动的看法，同时也在某种程度上影响了滑板文化的核心价值和表现形式。以下是一些更深入的分析： 6. **对滑板文化纯粹性的挑战**：传统上，滑板文化强调的是自由、反叛和个性表达。随着滑板运动在全球体育舞台上的正式地位提升，它可能面临着商业化和规范化的压力。一些滑板社区担心，这种转变可能稀释滑板文化的核心精神，使之偏离了原本的草根特质。 7. **技术进步和创新加速**：滑板入奥不仅提高了这项运动的可见度，也对滑板技术和装备提出了更高要求。运动员追求更高的技巧水平，同时企业开发更先进的滑板和配件，以满足日益严格的竞技标准。这可能导致滑板运动本身的快速进步和变革。 8. **滑板社区的多样化和包容性**：随着滑板在全球范围内的普及，滑板社区变得更加多样化。不同国家、文化背景的人们加入滑板运动，带来了新的风格和灵感，也使得滑板文化更加丰富多元。同时，滑板运动作为奥运项目，也更加注重性别平等和多元化，为女性滑板者和不同背景的滑板爱好者提供了更多的机会和平台。 9. **对城市空间和公共政策的影响**：滑板运动的普及和接纳促使政府和城市规划者重新考虑对滑板友好空间的设计和分配。公共滑板场地的建设和改善，不仅满足了滑板爱好者的需求，也成为促进社区活力和青少年活动的重要手段。 10. **教育和训练体系的建立**：随着滑板进入奥运，对滑板运动员的专业训练和发展体系的需求也随之增加。这促成了更多滑板学校和训练营的设立，为有志于将滑板作为职业发展的年轻人提供了系统化的培训和指导，同时提升整个行业的专业水平。总之，滑板运动成为奥运项目，不仅在全球范围内提升了滑板的地位和可见度，同时也带来了文化、技术和社会方面的深远影响。滑板文化与奥委会的这一结合，虽然可能会带来挑战和争议，但也无疑为滑板运动的发展开辟了新的路径和可能性。

question:現在香港對滑板的發展轉變

answer:截至2023年，香港对滑板的发展呈现出积极变化与转型，反映在以下几个方面： 1. **政府和公共支持增加**：香港特区政府和地方机构逐渐认识到滑板运动的社会价值和对青少年的吸引力，开始增加对滑板场地的公共投资。整个香港地区，包括新界、九龙和香港岛，都可以找到由政府建设和维护的滑板公园和设施。 2. **社区和文化活动**：香港的滑板文化随着活动和比赛的增加而日益活跃。各种滑板活动、比赛和演示不仅为当地滑板手提供了展示自己技艺的平台，也为滑板爱好者提供了交流经验和技巧的机会，增强了滑板社区的凝聚力。 3. **滑板运动的商业化和品牌合作**：随着滑板文化在香港的普及，相关的商业机会也在增加。从滑板店到专门的滑板产品，再到与时尚品牌的跨界合作，滑板不再仅仅是一项街头运动，它也成为了一种生活方式和时尚趋势。 4. **教育和培训**：越来越多的教育机构和社团开始提供滑板教学和培训课程，旨在从小培养孩子的兴趣，同时注重安全教育。这些课程不仅教授滑板技巧，还强调团队精神和自我表达。 5. **国际交流和认可**：香港的滑板选手开始在国际舞台上亮相，参与亚洲以至世界级别的比赛，提升了香港滑板运动的能见度。同时，这也吸引了国际滑板社区对香港滑板文化的关注，促进了国际交流与合作。尽管香港对滑板的发展和支持正在增强，但由于地缘空间限制和其他城市特有的挑战，滑板运动的推广与发展仍面临一些障碍。然而，随着社会对滑板运动认知的提升和更多相关政策的支持，可以预见香港滑板运动和文化将会持续成长和发展，成为城市文化的重要组成部分。