在使用YOLO框架训练自己的数据集时候，开始跑train.py，出现如下报错：RuntimeError: result type Float can‘t be cast to the desired output type long int
Traceback (most recent call last):
File "/home/sjh/project/yolov5-5.0/train.py", line 543, in <module>
train(hyp, opt, device, tb_writer)
File "/home/sjh/project/yolov5-5.0/train.py", line 304, in train
loss, loss_items = compute_loss(pred, targets.to(device)) # loss scaled by batch_size
File "/home/sjh/project/yolov5-5.0/utils/loss.py", line 117, in __call__
tcls, tbox, indices, anchors = self.build_targets(p, targets) # targets
File "/home/sjh/project/yolov5-5.0/utils/loss.py", line 211, in build_targets
indices.append((b, a, gj.clamp_(0, gain[3] - 1), gi.clamp_(0, gain[2] - 1))) # image, anchor, grid indices
RuntimeError: result type Float can't be cast to the desired output type long int由于是初次使用，并不确定是哪里的问题，只知道是跟着其他人的教程来的，经过查询，得到问题原因：
官网的yolov5-master可以正常运行，但是yolov5-5.0/yolov5-6.1等版本会出问题；
这是因为yolov5-master版本和yolov5-5.0/yolov5-6.1等版本下的【utils】中的【loss.py】文件不同，大概是yolov5-5.0/yolov5-6.1等版本在更新版本的时候出了问题
因此解决方法也明了了：修改loss.py文件
打开【utils】文件夹下的【loss.py】文件，一共需要修改两处代码，以yolov5-5.0为例：
1，大概是177行左右，可通过搜索找到下面这句代码
anchors = self.anchors[i]
将这一行其替换为
anchors, shape = self.anchors[i], p[i].shape 2，在程序的最后，找到下面这行代码
indices.append((b, a, gj.clamp_(0, gain[3] - 1), gi.clamp_(0, gain[2] - 1))) # image, anchor, grid indices将其替换为
indices.append((b, a, gj.clamp_(0, shape[2] - 1), gi.clamp_(0, shape[3] - 1))) # image, anchor, grid保存程序，重新跑train.py，便可以正常运行了
