如何从Dynet已保存模型中读取遗忘的random-seed参数？

Got it, let's tackle this problem. I've been in a similar spot before—forgetting to log the random seed after training a DyNet model, and needing to recover it later. Here are a couple of reliable methods you can try:

Method 1: Load the Model and Query the Global DyNet Seed #

Whether you're using Python or C++, loading the saved model will restore DyNet's random number generator state, including the seed used during training. You can then fetch it directly with DyNet's built-in functions:

For Python #

import dynet as dy

# Initialize DyNet and load your trained model
dy.init()
model = dy.Model()
model.load("your_trained_model.dy")

# Retrieve the training seed
training_seed = dy.get_random_seed()
print(f"The training dynet-seed was: {training_seed}")

For C++ #

#include <dynet/dynet.h>
#include <iostream>

int main() {
    dynet::initialize();
    dynet::Model model;
    model.load("your_trained_model.dy");
    
    std::cout << "The training dynet-seed was: " << dynet::get_random_seed() << std::endl;
    return 0;
}

Method 2: Inspect Text-Format Models Directly #

If you saved your model in text format (using as_text=True in Python, or the equivalent flag in C++), you can skip loading the model entirely. Just open the model file in a text editor—you'll find the seed value near the top of the file, usually on a line like:

seed: 123456

Important Notes #

• Make sure you use the same version of DyNet that was used to train the model. Different versions might change how the seed is stored in the model file, leading to incorrect results or errors.
• If you trained the model via a command-line script that uses DyNet, the same loading method will still work—just load the model file as shown above to retrieve the seed.

内容的提问来源于stack exchange，提问作者Hoang Nguyen