我有一个LSTM冻结图,它有10个序列,每个输入序列有10个长度为2002的向量。
我的代码可以在python中工作,但我不知道如何在C++中做同样的事情。
如何将向量序列转换为支持LSTM的张量序列?
代码:
/// concatenate vector 1 and vector 2 features
std::vector<float> vecOne_vecTwo_concat;
/// preallocate memory
vecOne_vecTwo_concat.reserve(vecOne.size() + vecTwo.size());
/// concatenate (first half is vecOne; second half is vecTwo)
/// add vecOne
vecOne_vecTwo_concat.insert(vecOne_vecTwo_concat.end(),
vecOne.begin(), vecOne.end());
/// add vecTwo
vecOne_vecTwo_concat.insert(vecOne_vecTwo_concat.end(),
vecTwo.begin(), vecTwo.end() );
/// append to vector of features
sequence_vector_.push_back(vecOne_vecTwo_concat);
/// check if we have enough sequences to make a classification
/// here n_rnn_steps_ is 10
/// each vector in this sequence is of length 2002
/// so we have 10 vectors, each of length 2002
if (sequence_vector_.size() == n_rnn_steps_) {
/* Here we feed the concatenated vector sequence into
the session running the LSTM graph
*/
/// reset vector after we have feed it into the session
sequence_vector_.clear();
}发布于 2019-02-14 19:26:21
您可以作为指针直接访问已创建张量的内存。
Tensor aTensor(DT_FLOAT, TensorShape({ sequenceLength }));
float *p = aTensor.flat<float>().data();然后,您可以将数据复制到该内存或使用memcpy。
https://stackoverflow.com/questions/50243334
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