TF - ValueError。这两个结构的元素数量不一样。

Question

我正在尝试运行编码供研究报告 规模化和通用化的学习型优化器当我运行 metarun.py 文件（这是主文件），我得到以下错误。

Traceback (most recent call last):
File "metarun.py", line 394, in
tf.app.run()
File "/home/rvl224/anaconda3/lib/python3.5/site-packages/tensorflow/python/platform/app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "metarun.py", line 388, in main
callbacks=[])
File "/home/rvl224/models/research/metaopt.py", line 184, in train_optimizer
train_output = opt.train(problem, dataset)
File "/home/rvl224/models/research/learned_optimizer/optimizer/trainable_optimizer.py", line 347, in train
swap_memory=True, shape_invariants=invariants)
File "/home/rvl224/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/control_flow_ops.py", line 2816, in while_loop
result = loop_context.BuildLoop(cond, body, loop_vars, shape_invariants)
File "/home/rvl224/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/control_flow_ops.py", line 2640, in BuildLoop
pred, body, original_loop_vars, loop_vars, shape_invariants)
File "/home/rvl224/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/control_flow_ops.py", line 2597, in _BuildLoop
nest.assert_same_structure(list(packed_vars_for_body), list(body_result))
File "/home/rvl224/anaconda3/lib/python3.5/site-packages/tensorflow/python/util/nest.py", line 222, in assert_same_structure
% (len_nest1, nest1, len_nest2, nest2))
ValueError: The two structures don't have the same number of elements.

First structure (120 elements): 
[<tf.Tensor 'while/Identity:0' shape=() dtype=int32>, <tf.Tensor 'while/Identity_1:0' shape=() dtype=float32>, [<tf.Tensor 'while/Identity_2:0' shape=(11, 1) dtype=float32>, <tf.Tensor 'while/Identity_3:0' shape=(3, 1) dtype=float32>, <tf.Tensor 'while/Identity_4:0' shape=(9, 1) dtype=float32>, <tf.Tensor 'while/Identity_5:0' shape=(7, 1) dtype=float32>, <tf.Tensor 'while/Identity_6:0' shape=(5, 1) dtype=float32>, <tf.Tensor 'while/Identity_7:0' shape=(13, 1) dtype=float32>, <tf.Tensor 'while/Identity_8:0' shape=(12, 1) dtype=float32>], [<tf.Tensor 'while/Identity_9:0' shape=(11, 1) dtype=float32>, <tf.Tensor 'while/Identity_10:0' shape=(3, 1) dtype=float32>, <tf.Tensor 'while/Identity_11:0' shape=(9, 1) dtype=float32>, <tf.Tensor 'while/Identity_12:0' shape=(7, 1) dtype=float32>, <tf.Tensor 'while/Identity_13:0' shape=(5, 1) dtype=float32>, <tf.Tensor 'while/Identity_14:0' shape=(13, 1) dtype=float32>, <tf.Tensor 'while/Identity_15:0' shape=(12, 1) dtype=float32>], [[<tf.Tensor 'while/Identity_16:0' shape=(11, 1) dtype=float32>, <tf.Tensor 'while/Identity_17:0' shape=(11, 1) dtype=float32>, <tf.Tensor 'while/Identity_18:0' shape=(11, 1) dtype=float32>, <tf.Tensor 'while/Identity_19:0' shape=(11, 1) dtype=float32>, <tf.Tensor 'while/Identity_20:0' shape=(11, 1) dtype=float32>, <tf.Tensor 'while/Identity_21:0' shape=(1, 20) dtype=float32>, <tf.Tensor 'while/Identity_22:0' shape=(11, 1) dtype=float32>, <tf.Tensor 'while/Identity_23:0' shape=(11, 1) dtype=float32>, <tf.Tensor 'while/Identity_24:0' shape=(11, 1) dtype=float32>, <tf.Tensor 'while/Identity_25:0' shape=(11, 1) dtype=float32>, <tf.Tensor 'while/Identity_26:0' shape=(11, 1) dtype=float32>, <tf.Tensor 'while/Identity_27:0' shape=(11, 10) dtype=float32>, <tf.Tensor 'while/Identity_28:0' shape=(11, 1) dtype=float32>, <tf.Tensor 'while/Identity_29:0' shape=(11, 1) dtype=float32>], [<tf.Tensor 'while/Identity_30:0' shape=(3, 1) dtype=float32>, <tf.Tensor 'while/Identity_31:0' shape=(3, 1) dtype=float32>, <tf.Tensor 'while/Identity_32:0' shape=(3, 1) dtype=float32>, <tf.Tensor 'while/Identity_33:0' shape=(3, 1) dtype=float32>, <tf.Tensor 'while/Identity_34:0' shape=(3, 1) dtype=float32>, <tf.Tensor 'while/Identity_35:0' shape=(1, 20) dtype=float32>, <tf.Tensor 'while/Identity_36:0' shape=(3, 1) dtype=float32>, <tf.Tensor 'while/Identity_37:0' shape=(3, 1) dtype=float32>, <tf.Tensor 'while/Identity_38:0' shape=(3, 1) dtype=float32>, <tf.Tensor 'while/Identity_39:0' shape=(3, 1) dtype=float32>, <tf.Tensor 'while/Identity_40:0' shape=(3, 1) dtype=float32>, <tf.Tensor 'while/Identity_41:0' shape=(3, 10) dtype=float32>, <tf.Tensor 'while/Identity_42:0' shape=(3, 1) dtype=float32>, <tf.Tensor 'while/Identity_43:0' shape=(3, 1) dtype=float32>], [<tf.Tensor 'while/Identity_44:0' shape=(9, 1) dtype=float32>, <tf.Tensor 'while/Identity_45:0' shape=(9, 1) dtype=float32>, <tf.Tensor 'while/Identity_46:0' shape=(9, 1) dtype=float32>, <tf.Tensor 'while/Identity_47:0' shape=(9, 1) dtype=float32>, <tf.Tensor 'while/Identity_48:0' shape=(9, 1) dtype=float32>, <tf.Tensor 'while/Identity_49:0' shape=(1, 20) dtype=float32>, <tf.Tensor 'while/Identity_50:0' shape=(9, 1) dtype=float32>, <tf.Tensor 'while/Identity_51:0' shape=(9, 1) dtype=float32>, <tf.Tensor 'while/Identity_52:0' shape=(9, 1) dtype=float32>, <tf.Tensor 'while/Identity_53:0' shape=(9, 1) dtype=float32>, <tf.Tensor 'while/Identity_54:0' shape=(9, 1) dtype=float32>, <tf.Tensor 'while/Identity_55:0' shape=(9, 10) dtype=float32>, <tf.Tensor 'while/Identity_56:0' shape=(9, 1) dtype=float32>, <tf.Tensor 'while/Identity_57:0' shape=(9, 1) dtype=float32>], [<tf.Tensor 'while/Identity_58:0' shape=(7, 1) dtype=float32>, <tf.Tensor 'while/Identity_59:0' shape=(7, 1) dtype=float32>, <tf.Tensor 'while/Identity_60:0' shape=(7, 1) dtype=float32>, <tf.Tensor 'while/Identity_61:0' shape=(7, 1) dtype=float32>, <tf.Tensor 'while/Identity_62:0' shape=(7, 1) dtype=float32>, <tf.Tensor 'while/Identity_63:0' shape=(1, 20) dtype=float32>, <tf.Tensor 'while/Identity_64:0' shape=(7, 1) dtype=float32>, <tf.Tensor 'while/Identity_65:0' shape=(7, 1) dtype=float32>, <tf.Tensor 'while/Identity_66:0' shape=(7, 1) dtype=float32>, <tf.Tensor 'while/Identity_67:0' shape=(7, 1) dtype=float32>, <tf.Tensor 'while/Identity_68:0' shape=(7, 1) dtype=float32>, <tf.Tensor 'while/Identity_69:0' shape=(7, 10) dtype=float32>, <tf.Tensor 'while/Identity_70:0' shape=(7, 1) dtype=float32>, <tf.Tensor 'while/Identity_71:0' shape=(7, 1) dtype=float32>], [<tf.Tensor 'while/Identity_72:0' shape=(5, 1) dtype=float32>, <tf.Tensor 'while/Identity_73:0' shape=(5, 1) dtype=float32>, <tf.Tensor 'while/Identity_74:0' shape=(5, 1) dtype=float32>, <tf.Tensor 'while/Identity_75:0' shape=(5, 1) dtype=float32>, <tf.Tensor 'while/Identity_76:0' shape=(5, 1) dtype=float32>, <tf.Tensor 'while/Identity_77:0' shape=(1, 20) dtype=float32>, <tf.Tensor 'while/Identity_78:0' shape=(5, 1) dtype=float32>, <tf.Tensor 'while/Identity_79:0' shape=(5, 1) dtype=float32>, <tf.Tensor 'while/Identity_80:0' shape=(5, 1) dtype=float32>, <tf.Tensor 'while/Identity_81:0' shape=(5, 1) dtype=float32>, <tf.Tensor 'while/Identity_82:0' shape=(5, 1) dtype=float32>, <tf.Tensor 'while/Identity_83:0' shape=(5, 10) dtype=float32>, <tf.Tensor 'while/Identity_84:0' shape=(5, 1) dtype=float32>, <tf.Tensor 'while/Identity_85:0' shape=(5, 1) dtype=float32>], [<tf.Tensor 'while/Identity_86:0' shape=(13, 1) dtype=float32>, <tf.Tensor 'while/Identity_87:0' shape=(13, 1) dtype=float32>, <tf.Tensor 'while/Identity_88:0' shape=(13, 1) dtype=float32>, <tf.Tensor 'while/Identity_89:0' shape=(13, 1) dtype=float32>, <tf.Tensor 'while/Identity_90:0' shape=(13, 1) dtype=float32>, <tf.Tensor 'while/Identity_91:0' shape=(1, 20) dtype=float32>, <tf.Tensor 'while/Identity_92:0' shape=(13, 1) dtype=float32>, <tf.Tensor 'while/Identity_93:0' shape=(13, 1) dtype=float32>, <tf.Tensor 'while/Identity_94:0' shape=(13, 1) dtype=float32>, <tf.Tensor 'while/Identity_95:0' shape=(13, 1) dtype=float32>, <tf.Tensor 'while/Identity_96:0' shape=(13, 1) dtype=float32>, <tf.Tensor 'while/Identity_97:0' shape=(13, 10) dtype=float32>, <tf.Tensor 'while/Identity_98:0' shape=(13, 1) dtype=float32>, <tf.Tensor 'while/Identity_99:0' shape=(13, 1) dtype=float32>], [<tf.Tensor 'while/Identity_100:0' shape=(12, 1) dtype=float32>, <tf.Tensor 'while/Identity_101:0' shape=(12, 1) dtype=float32>, <tf.Tensor 'while/Identity_102:0' shape=(12, 1) dtype=float32>, <tf.Tensor 'while/Identity_103:0' shape=(12, 1) dtype=float32>, <tf.Tensor 'while/Identity_104:0' shape=(12, 1) dtype=float32>, <tf.Tensor 'while/Identity_105:0' shape=(1, 20) dtype=float32>, <tf.Tensor 'while/Identity_106:0' shape=(12, 1) dtype=float32>, <tf.Tensor 'while/Identity_107:0' shape=(12, 1) dtype=float32>, <tf.Tensor 'while/Identity_108:0' shape=(12, 1) dtype=float32>, <tf.Tensor 'while/Identity_109:0' shape=(12, 1) dtype=float32>, <tf.Tensor 'while/Identity_110:0' shape=(12, 1) dtype=float32>, <tf.Tensor 'while/Identity_111:0' shape=(12, 10) dtype=float32>, <tf.Tensor 'while/Identity_112:0' shape=(12, 1) dtype=float32>, <tf.Tensor 'while/Identity_113:0' shape=(12, 1) dtype=float32>]], [<tf.Tensor 'while/Identity_114:0' shape=(1, 20) dtype=float32>], <tf.Tensor 'while/Identity_115:0' shape=(?,) dtype=float32>, <tf.Tensor 'while/Identity_116:0' shape=() dtype=float32>, <tf.Tensor 'while/Identity_117:0' shape= dtype=float32>, <tf.Tensor 'while/Identity_118:0' shape= dtype=int32>, <tf.Tensor 'while/Identity_119:0' shape= dtype=int32>]

Second structure (23 elements): 
[<tf.Tensor 'while/add_21:0' shape=() dtype=int32>, <tf.Tensor 'while/Add:0' shape=() dtype=float32>, [<tf.Tensor 'while/LOL/PerTensor/sub_15:0' shape=(11, 1) dtype=float32>, <tf.Tensor 'while/LOL/PerTensor_1/sub_15:0' shape=(3, 1) dtype=float32>, <tf.Tensor 'while/LOL/PerTensor_2/sub_15:0' shape=(9, 1) dtype=float32>, <tf.Tensor 'while/LOL/PerTensor_3/sub_15:0' shape=(7, 1) dtype=float32>, <tf.Tensor 'while/LOL/PerTensor_4/sub_15:0' shape=(5, 1) dtype=float32>, <tf.Tensor 'while/LOL/PerTensor_5/sub_15:0' shape=(13, 1) dtype=float32>, <tf.Tensor 'while/LOL/PerTensor_6/sub_15:0' shape=(12, 1) dtype=float32>], [<tf.Tensor 'while/LOL/PerTensor/sub_15:0' shape=(11, 1) dtype=float32>, <tf.Tensor 'while/LOL/PerTensor_1/sub_15:0' shape=(3, 1) dtype=float32>, <tf.Tensor 'while/LOL/PerTensor_2/sub_15:0' shape=(9, 1) dtype=float32>, <tf.Tensor 'while/LOL/PerTensor_3/sub_15:0' shape=(7, 1) dtype=float32>, <tf.Tensor 'while/LOL/PerTensor_4/sub_15:0' shape=(5, 1) dtype=float32>, <tf.Tensor 'while/LOL/PerTensor_5/sub_15:0' shape=(13, 1) dtype=float32>, <tf.Tensor 'while/LOL/PerTensor_6/sub_15:0' shape=(12, 1) dtype=float32>], <map object at 0x7f0a9b8f4be0>, [<tf.Tensor 'while/LOL/Layer2_RNN/BiasGRUCell/add:0' shape=(1, 20) dtype=float32>], <tf.Tensor 'while/concat:0' shape=(?,) dtype=float32>, <tf.Tensor 'while/Identity_116:0' shape=() dtype=float32>, <tf.Tensor 'while/Identity_117:0' shape= dtype=float32>, <tf.Tensor 'while/Identity_118:0' shape= dtype=int32>, <tf.Tensor 'while/Identity_119:0' shape= dtype=int32>]

我试着按照建议的解决方案此处但我不知道该在哪里修改代码。如果有人能指导一下，那将是一个很大的帮助!

先谢谢你:)