【报错解决】one of the variables needed for gradient computation has been modified by an inplace operation

一、项目背景

HiDDen的jpeg()的训练，要求的torch版本是1.0，我的是1.11，考虑过降低版本号，但如果要降版本的话还要改python版本、cuda版本，而且刚开始复现代码，希望能提高自己读代码和纠正错误的能力，所以决定就在这个基础上直接改。

    def train_on_batch(self, batch: list):
        """
        Trains the network on a single batch consisting of images and messages
        :param batch: batch of training data, in the form [images, messages]
        :return: dictionary of error metrics from Encoder, Decoder, and Discriminator on the current batch
        """
        images, messages = batch

        batch_size = images.shape[0]
        self.encoder_decoder.train()
        self.discriminator.train()
        with (torch.enable_grad()):
            # ---------------- Train the discriminator -----------------------------
            self.optimizer_discrim.zero_grad()
            # train on cover
            d_target_label_cover = torch.full((batch_size, 1), self.cover_label, device=self.device).float()
            d_target_label_encoded = torch.full((batch_size, 1), self.encoded_label, device=self.device).float()
            g_target_label_encoded = torch.full((batch_size, 1), self.cover_label, device=self.device).float()

            d_on_cover