Archives

Archives provide a lower-level interface for serialization, allowing you to save multiple values to a single file with named keys.

OutputArchive

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Example:

cpp

torch::serialize::OutputArchive archive;
archive.write("tensor1", tensor1);
archive.write("tensor2", tensor2);
archive.save_to("multi_tensor.pt");

InputArchive

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Example:

cpp

torch::serialize::InputArchive archive;
archive.load_from("multi_tensor.pt");

torch::Tensor tensor1, tensor2;
archive.read("tensor1", tensor1);
archive.read("tensor2", tensor2);

Saving Multiple Values

Archives are useful when you need to save multiple related values together:

cpp

// Save multiple tensors and metadata
torch::serialize::OutputArchive out_archive;
out_archive.write("weights", model_weights);
out_archive.write("biases", model_biases);
out_archive.write("epoch", torch::tensor(current_epoch));
out_archive.write("loss", torch::tensor(best_loss));
out_archive.save_to("training_state.pt");

// Load them back
torch::serialize::InputArchive in_archive;
in_archive.load_from("training_state.pt");

torch::Tensor weights, biases, epoch_tensor, loss_tensor;
in_archive.read("weights", weights);
in_archive.read("biases", biases);
in_archive.read("epoch", epoch_tensor);
in_archive.read("loss", loss_tensor);

int epoch = epoch_tensor.item<int>();
float loss = loss_tensor.item<float>();