Question

我试图在tensor2tensor中创建一个简单的基于LSTM的RNN。

到目前为止，培训似乎仍然有效，但是我无法恢复模型。尝试这样做会抛出NotFoundError，指出LSTM的一个偏置节点：

NotFoundError: .. 

Key bidirectional/backward_lstm/bias not found in checkpoint

我不知道为什么会这样。

这实际上应该是另一个问题的解决方法，我可以使用来自tensor2tensor（https://github.com/tensorflow/tensor2tensor/issues/1616）的LSTM来解决类似的问题。

环境

$ pip freeze | grep tensor
mesh-tensorflow==0.0.5
tensor2tensor==1.12.0
tensorboard==1.12.0
tensorflow-datasets==1.0.2
tensorflow-estimator==1.13.0
tensorflow-gpu==1.12.0
tensorflow-metadata==0.9.0
tensorflow-probability==0.5.0

模型主体

def body(self, features):

    inputs = features['inputs'][:,:,0,:]

    hparams = self._hparams
    problem = hparams.problem
    encoders = problem.feature_info

    max_input_length = 350
    max_output_length = 350 

    encoder = Bidirectional(LSTM(128, return_sequences=True, unroll=False), merge_mode='concat')(inputs)
    encoder_last = encoder[:, -1, :]

    decoder = LSTM(256, return_sequences=True, unroll=False)(inputs, initial_state=[encoder_last, encoder_last])

    attention = dot([decoder, encoder], axes=[2, 2])
    attention = Activation('softmax', name='attention')(attention)

    context = dot([attention, encoder], axes=[2, 1])
    concat = concatenate([context, decoder])

    return tf.expand_dims(concat, 2)

完整错误

NotFoundError (see above for traceback): Restoring from checkpoint failed. This is most likely due to a Variable name or other graph key that is missing from the checkpoint. Please ensure that you have not altered the graph expected based on the checkpoint. Original error:

Key while/lstm_keras/parallel_0_4/lstm_keras/lstm_keras/body/bidirectional/backward_lstm/bias not found in checkpoint
     [[node save/RestoreV2 (defined at /home/sfalk/tmp/pycharm_project_265/asr/model/persistence.py:282)  = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]

可能是什么问题，以及如何解决此问题？

Answer 1

这似乎与https://github.com/tensorflow/tensor2tensor/issues/1486有关。在使用tensor2tensor从检查点恢复的过程中，似乎在关键字名称之前加上了“ while”。似乎是一个未解决的错误，您的输入将在github上得到赞赏。

如果可以的话，我会发表评论，但是我的声誉太低了。干杯。

无法从检查点恢复：bidirectional / backward_lstm / bias

环境

模型主体

完整错误

1 个答案: