10 examples of 'pytorch save model' in Python

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def save_model(model, name, epoch, folder_name):
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    print("Saving Model")
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    torch.save(model.state_dict(),
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               (folder_name + "trained_{}.pth").format(epoch))
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    print("Done saving Model")

79
def save_model(model, optim, epoch, path):
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    torch.save({
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        'epoch': epoch + 1,
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        'state_dict': model.state_dict(),
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        'optimizer': optim.state_dict()}, path)

66
def save_model(model, path):
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    model.eval()
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    torch.save(model.state_dict(), path)
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    model.train()

103
def saveModel(state, epoch, loss_epoch, valid_epoch, is_best, episode_idx):
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    torch.save({
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        "epoch": epoch,
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        "episodes": episode_idx + 1,
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        "state_dict": state,
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        "epoch_avg_loss": round(loss_epoch, 10),
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        "epoch_avg_valid": round(valid_epoch, 10)
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    }, MODEL_PATH)
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    if is_best:
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        shutil.copyfile(MODEL_PATH, MODEL_PATH_BEST)

492
def save_model(self):
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    torch.save(self.G.state_dict(), self.save_dir + "/G.pt")
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    torch.save(self.E.state_dict(), self.save_dir + "/E.pt")
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    torch.save(self.D.state_dict(), self.save_dir + "/D.pt")

78
def save_model(self):
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    torch.save(self.net, self.file_path + "unet_model.pkl")

53
def save_model(net, model_path):
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    model_dir = os.path.dirname(model_path)
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    if not os.path.exists(model_dir):
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       os.makedirs(model_dir)
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    torch.save(net.state_dict(), model_path)

37
def create_save_model(model):
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    def save_model(path):
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        torch.save(model.state_dict(), path)
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    return save_model

101
def saveModel(state, epoch, loss_epoch, diff_epoch, is_best, episode_idx):
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    torch.save({
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        "epoch": epoch,
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        "episodes": episode_idx + 1,
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        "state_dict": state,
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        "epoch_avg_loss": np.mean(loss_epoch),
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        "epoch_avg_diff": np.mean(diff_epoch)
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    }, MODEL_PATH)
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    if is_best:
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        shutil.copyfile(MODEL_PATH, MODEL_PATH_BEST)

155
def save_checkpoint(model, epoch):
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    model_out_path = "checkpoint/" + "model_epoch_{}.pth".format(epoch)
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    state = {"epoch": epoch ,"model": model}
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    if not os.path.exists("checkpoint/"):
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        os.makedirs("checkpoint/")
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    torch.save(state, model_out_path)
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    print("Checkpoint saved to {}".format(model_out_path))