调用rnn_model = keras.models.load_model('bin/rnn')时训练模型并用model.save('bin/rnn')保存后
它在控制台中产生了大量我无法解释的警告：
2021-01-08 23:32:12.052179: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond/while' has 13 outputs but the _output_shapes attribute specifies shapes for 44 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:12.072767: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond' has 5 outputs but the _output_shapes attribute specifies shapes for 45 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:12.534962: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond/while' has 13 outputs but the _output_shapes attribute specifies shapes for 44 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:13.515182: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond/while' has 13 outputs but the _output_shapes attribute specifies shapes for 44 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:13.678562: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond/while' has 13 outputs but the _output_shapes attribute specifies shapes for 44 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:13.707091: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond' has 5 outputs but the _output_shapes attribute specifies shapes for 45 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:13.936798: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond' has 5 outputs but the _output_shapes attribute specifies shapes for 45 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:14.196727: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond/while' has 13 outputs but the _output_shapes attribute specifies shapes for 44 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:15.554499: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond/while' has 13 outputs but the _output_shapes attribute specifies shapes for 44 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:15.581370: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond' has 5 outputs but the _output_shapes attribute specifies shapes for 45 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:15.665304: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond/while' has 13 outputs but the _output_shapes attribute specifies shapes for 44 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:15.689471: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond' has 5 outputs but the _output_shapes attribute specifies shapes for 45 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:15.899045: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond' has 5 outputs but the _output_shapes attribute specifies shapes for 45 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:16.416461: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond/while' has 13 outputs but the _output_shapes attribute specifies shapes for 44 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:16.439738: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond' has 5 outputs but the _output_shapes attribute specifies shapes for 45 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:16.598053: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond/while' has 13 outputs but the _output_shapes attribute specifies shapes for 44 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:16.627368: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond' has 5 outputs but the _output_shapes attribute specifies shapes for 45 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:18.063784: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond/while' has 13 outputs but the _output_shapes attribute specifies shapes for 44 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:18.082790: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond' has 5 outputs but the _output_shapes attribute specifies shapes for 45 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:18.869241: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond/while' has 13 outputs but the _output_shapes attribute specifies shapes for 44 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:18.894552: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond' has 5 outputs but the _output_shapes attribute specifies shapes for 45 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:20.063483: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond' has 5 outputs but the _output_shapes attribute specifies shapes for 45 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:20.540079: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond/while' has 13 outputs but the _output_shapes attribute specifies shapes for 44 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:20.569451: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond' has 5 outputs but the _output_shapes attribute specifies shapes for 45 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:20.618969: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond/while' has 13 outputs but the _output_shapes attribute specifies shapes for 44 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:20.649699: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond' has 5 outputs but the _output_shapes attribute specifies shapes for 45 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:20.753987: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond/while' has 13 outputs but the _output_shapes attribute specifies shapes for 44 outputs. Output shapes may be inaccurate.
2021-01-08 23:32:20.777206: W tensorflow/core/common_runtime/graph_constructor.cc:809] Node 'cond' has 5 outputs but the _output_shapes attribute specifies shapes for 45 outputs. Output shapes may be inaccurate.
它们是什么意思？我应该如何处理/禁止它们发生？
您可以尝试添加复发性辍学。当我遇到这个问题时，它似乎对我有效。我怀疑这与CudNN优化架构的实现略有不同有关。