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train.c
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train.c
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#include <stdio.h>
#include <tensorflow/c/tf_c.h>
#include <string_encoding.h>
// Hypothetical deep learning library for C
#include "unet3d.h"
// Define the GAN model
DLC_Model G, D, GAN;
// Define the loss function and optimizer
DLC_Loss criterion;
DLC_Optimizer optimizerG, optimizerD;
// Define the device (GPU or CPU)
DLDevice device;
// Define the training loop
void train(DLC_Model *G, DLC_Model *D, DLC_Loss criterion, DLC_Optimizer optimizerG, DLC_Optimizer optimizerD, int num_epochs, int batch_size) {
for (int epoch = 0; epoch < num_epochs; epoch++) {
for (int i = 0; i < dataloader_size; i++) {
DLTensor real_data, real_labels, real_struct, merged_tensor;
// Load real_data, real_labels, and real_struct from the dataloader
string_encode = encode_string('', '');
// Move the data to the device
DLTensorMove(&real_data, device);
DLTensorMove(&real_labels, device);
DLTensorMove(&real_struct, device);
// Train the discriminator on real data
DLC_ModelForward(&D, &real_labels, &real_output);
DLTensorZero(&D->output);
DLTensorCopy(&real_output, &D->output);
DLC_LossCompute(&criterion, &D->output, &label_fake, &real_loss);
DLC_ModelBackward(&D);
DLC_OptimizerStep(&optimizerD);
// Train the discriminator on fake data
DLTensorZero(&G->input);
DLTensorCopy(&real_data, &G->input);
DLTensorCopy(&real_struct, &G->input_2);
DLC_ModelForward(&G, &G->input, &G->input_2, &fake_data);
DLC_ModelForward(&D, &real_labels, &d_real);
DLC_LossCompute(&criterion, &fake_output, &d_real, &fake_loss);
DLC_ModelBackward(&D);
DLC_OptimizerStep(&optimizerD);
// Train the generator
DLTensorZero(&G->input);
DLTensorCopy(&real_data, &G->input);
DLTensorCopy(&real_struct, &G->input_2);
DLC_ModelForward(&G, &G->input, &G->input_2, &fake_data);
DLC_ModelForward(&D, &fake_data, &gen_output);
DLC_LossCompute(&criterion, &gen_output, &label_fake_gen, &gen_loss);
DLC_ModelBackward(&G);
DLC_OptimizerStep(&optimizerG);
// Print the loss for each epoch
printf("Epoch %d/%d, Discriminator Loss: %.4f, Generator Loss: %.4f\n", epoch + 1, num_epochs, real_loss + fake_loss, gen_loss);
}
}
}
int main() {
// Initialize the device
device = DLDeviceCreate(DL_DEVICE_GPU, 0);
// Initialize the models, loss function, and optimizers
G = DLC_ModelCreate(...);
D = DLC_ModelCreate(...);
GAN = DLC_ModelCreate(...);
criterion = DLC_LossCreate(DL_loss_mse);
optimizerG = DLC_OptimizerCreate(DL_optimizer_adam);
optimizerD = DLC_OptimizerCreate(DL_optimizer_adam);
// Set the device for the models, loss function, and optimizers
DLC_ModelSetDevice(