Created by: zhengzhe97

paddle版本：1.7.1 想对这个loc_t进行赋值，但是出现了错误，是否有办法进行赋值 代码部分：

    loc_t = fluid.layers.zeros([batch_size, num_priors, 4], 'float32')
    gt_box_t = []
    conf_t = []
    idx_t = []
    
    labels = []
    
    for idx in range(batch_size):
        num = gt_num[idx]
        truths = gt_box[idx, 0:num]
        labels.append(gt_class[idx, 0:num])
        
        crowd_boxes = None
        pos_threshold = 0.5
        neg_threshold = 0.4        
        loc, conf, best_truth_idx = match_tensor(pos_threshold, neg_threshold,
                  truths, priors, labels[idx], crowd_boxes,
                  loc_t, conf_t, idx_t, idx)  
                  
        loc_t[idx] = loc

错误如下

Traceback (most recent call last):
  File "tools/train.py", line 323, in <module>
    main()
  File "tools/train.py", line 116, in main
    train_fetches = model.train(feed_vars)
  File "/home/aistudio/work/PaddleDetection-release-0.2/ppdet/modeling/architectures/yolactplus.py", line 98, in train
    return self.build(feed_vars, 'train')
  File "/home/aistudio/work/PaddleDetection-release-0.2/ppdet/modeling/architectures/yolactplus.py", line 88, in build
    gt_box, gt_class, gt_segm, is_crowd, gt_num)
  File "/home/aistudio/work/PaddleDetection-release-0.2/ppdet/modeling/anchor_heads/yolact_head.py", line 683, in get_loss
    get_target_tensor(gt_box, priors, gt_class, is_crowd, gt_num, loc_data, batch_size, num_priors)
  File "/home/aistudio/work/PaddleDetection-release-0.2/ppdet/modeling/anchor_heads/yolact_head.py", line 1385, in get_target_tensor
    loc_t[idx] = loc
TypeError: 'Variable' object does not support item assignment