时间戳

首页 > 解决方案 > TF2.0：翻译模型：恢复保存的模型时出错：检查点（根）中未解析的对象.optimizer.iter：属性

python-3.x - TF2.0：翻译模型：恢复保存的模型时出错：检查点（根）中未解析的对象.optimizer.iter：属性

问题描述

我正在尝试恢复检查点并预测不同的句子NMT Attention Model。在恢复检查点和预测时，我得到了乱码结果，并带有以下警告：

   Unresolved object in checkpoint (root).optimizer.iter: attributes {
  name: "VARIABLE_VALUE"
  full_name: "Adam/iter"
  checkpoint_key: "optimizer/iter/.ATTRIBUTES/VARIABLE_VALUE"
}

以下是我收到的其他警告和结果：

WARNING: Logging before flag parsing goes to stderr.
W1008 09:57:52.766877 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer.iter
W1008 09:57:52.767037 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer.beta_1
W1008 09:57:52.767082 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer.beta_2
W1008 09:57:52.767120 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer.decay
W1008 09:57:52.767155 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer.learning_rate
W1008 09:57:52.767194 4594230720 util.py:244] Unresolved object in checkpoint: (root).decoder.embedding.embeddings
W1008 09:57:52.767228 4594230720 util.py:244] Unresolved object in checkpoint: (root).decoder.gru.state_spec
W1008 09:57:52.767262 4594230720 util.py:244] Unresolved object in checkpoint: (root).decoder.fc.kernel
W1008 09:57:52.767296 4594230720 util.py:244] Unresolved object in checkpoint: (root).decoder.fc.bias
W1008 09:57:52.767329 4594230720 util.py:244] Unresolved object in checkpoint: (root).encoder.embedding.embeddings
W1008 09:57:52.767364 4594230720 util.py:244] Unresolved object in checkpoint: (root).encoder.gru.state_spec
W1008 09:57:52.767396 4594230720 util.py:244] Unresolved object in checkpoint: (root).decoder.gru.cell.kernel
W1008 09:57:52.767429 4594230720 util.py:244] Unresolved object in checkpoint: (root).decoder.gru.cell.recurrent_kernel
W1008 09:57:52.767461 4594230720 util.py:244] Unresolved object in checkpoint: (root).decoder.gru.cell.bias
W1008 09:57:52.767493 4594230720 util.py:244] Unresolved object in checkpoint: (root).decoder.attention.W1.kernel
W1008 09:57:52.767526 4594230720 util.py:244] Unresolved object in checkpoint: (root).decoder.attention.W1.bias
W1008 09:57:52.767558 4594230720 util.py:244] Unresolved object in checkpoint: (root).decoder.attention.W2.kernel
W1008 09:57:52.767590 4594230720 util.py:244] Unresolved object in checkpoint: (root).decoder.attention.W2.bias
W1008 09:57:52.767623 4594230720 util.py:244] Unresolved object in checkpoint: (root).decoder.attention.V.kernel
W1008 09:57:52.767657 4594230720 util.py:244] Unresolved object in checkpoint: (root).decoder.attention.V.bias
W1008 09:57:52.767688 4594230720 util.py:244] Unresolved object in checkpoint: (root).encoder.gru.cell.kernel
W1008 09:57:52.767721 4594230720 util.py:244] Unresolved object in checkpoint: (root).encoder.gru.cell.recurrent_kernel
W1008 09:57:52.767755 4594230720 util.py:244] Unresolved object in checkpoint: (root).encoder.gru.cell.bias
W1008 09:57:52.767786 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'm' for (root).decoder.embedding.embeddings
W1008 09:57:52.767818 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'm' for (root).decoder.fc.kernel
W1008 09:57:52.767851 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'm' for (root).decoder.fc.bias
W1008 09:57:52.767884 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'm' for (root).encoder.embedding.embeddings
W1008 09:57:52.767915 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'm' for (root).decoder.gru.cell.kernel
W1008 09:57:52.767949 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'm' for (root).decoder.gru.cell.recurrent_kernel
W1008 09:57:52.767981 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'm' for (root).decoder.gru.cell.bias
W1008 09:57:52.768013 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'm' for (root).decoder.attention.W1.kernel
W1008 09:57:52.768044 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'm' for (root).decoder.attention.W1.bias
W1008 09:57:52.768077 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'm' for (root).decoder.attention.W2.kernel
W1008 09:57:52.768109 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'm' for (root).decoder.attention.W2.bias
W1008 09:57:52.768143 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'm' for (root).decoder.attention.V.kernel
W1008 09:57:52.768175 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'm' for (root).decoder.attention.V.bias
W1008 09:57:52.768207 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'm' for (root).encoder.gru.cell.kernel
W1008 09:57:52.768239 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'm' for (root).encoder.gru.cell.recurrent_kernel
W1008 09:57:52.768271 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'm' for (root).encoder.gru.cell.bias
W1008 09:57:52.768303 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'v' for (root).decoder.embedding.embeddings
W1008 09:57:52.768335 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'v' for (root).decoder.fc.kernel
W1008 09:57:52.768367 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'v' for (root).decoder.fc.bias
W1008 09:57:52.768399 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'v' for (root).encoder.embedding.embeddings
W1008 09:57:52.768431 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'v' for (root).decoder.gru.cell.kernel
W1008 09:57:52.768463 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'v' for (root).decoder.gru.cell.recurrent_kernel
W1008 09:57:52.768495 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'v' for (root).decoder.gru.cell.bias
W1008 09:57:52.768527 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'v' for (root).decoder.attention.W1.kernel
W1008 09:57:52.768559 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'v' for (root).decoder.attention.W1.bias
W1008 09:57:52.768591 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'v' for (root).decoder.attention.W2.kernel
W1008 09:57:52.768623 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'v' for (root).decoder.attention.W2.bias
W1008 09:57:52.768654 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'v' for (root).decoder.attention.V.kernel
W1008 09:57:52.768686 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'v' for (root).decoder.attention.V.bias
W1008 09:57:52.768718 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'v' for (root).encoder.gru.cell.kernel
W1008 09:57:52.768750 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'v' for (root).encoder.gru.cell.recurrent_kernel
W1008 09:57:52.768782 4594230720 util.py:244] Unresolved object in checkpoint: (root).optimizer's state 'v' for (root).encoder.gru.cell.bias
W1008 09:57:52.768816 4594230720 util.py:252] A checkpoint was restored (e.g. tf.train.Checkpoint.restore or tf.keras.Model.load_weights) but not all checkpointed values were used. See above for specific issues. Use expect_partial() on the load status object, e.g. tf.train.Checkpoint.restore(...).expect_partial(), to silence these warnings, or use assert_consumed() to make the check explicit. See https://www.tensorflow.org/alpha/guide/checkpoints#loading_mechanics for details.
Input: <start> hola <end>
Predicted translation: ? attack now relax hello

最后的警告说：

'检查点已恢复（例如 tf.train.Checkpoint.restore 或 tf.keras.Model.load_weights），但并非所有检查点值都已使用...' 这是什么意思？

标签： python-3.xtensorflownlptensorflow2.0machine-translation

解决方案

这意味着您没有使用已恢复的所有检查点值。

发生这种情况是因为您正在恢复具有训练信息（例如优化器变量）的模型，但您仅将其用于预测，而不是训练。预测时，您不需要保存的优化器值，这就是程序告诉您它们未被使用的原因。

如果您使用这个恢复的模型来训练新数据，这个警告就会消失。

model.load_weights(...).expect_partial()您可以使用或使这些警告静音tf.train.Checkpoint.restore(...).expect_partial()。

更好的解决方案是在训练时只保存推理所需的变量：

saver = tf.train.Saver(tf.model_variables())

tf.model_variables()是在模型中用于推理的变量对象的子集（请参阅tensorflow 文档）。

推荐阅读