RuntimeError: a view of a leaf Variable that requires grad is being used in an in-place operation.
跑yolov5的代码时,pytorch遇到<>RuntimeError: a view of a leaf Variable that requires grad is being used in an in-place operation.的报错
在报错的这一块增加 with torch.no_grad():
def _initialize_biases(self, cf=None): # initialize biases into Detect(), cf is class frequency# https://arxiv.org/abs/1708.02002 section 3.3# cf = torch.bincount(torch.tensor(np.concatenate(dataset.labels, 0)[:, 0]).long(), minlength=nc) + 1.m = self.model[-1] # Detect() modulefor mi, s in zip(m.m, m.stride): # fromb = mi.bias.view(m.na, -1) # conv.bias(255) to (3,85)with torch.no_grad():b[:, 4] += math.log(8 / (640 / s) ** 2) # obj (8 objects per 640 image)b[:, 5:] += math.log(0.6 / (m.nc - 0.99)) if cf is None else torch.log(cf / cf.sum()) # clsmi.bias = torch.nn.Parameter(b.view(-1), requires_grad=True)
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报错大致意思是不能对在计算图中带梯度的变量进行操作 源代码 def anim(i):# update SMBLDcur_beta_idx, cur_step = i // num_steps, i % ...
- a view of a leaf Variable that requires grad is being used in an in-place operation.
问题背景: 可以尝试的办法: 将pytorch1.8 降低到 1.7
- RuntimeError: a leaf Variable that requires grad has been used in an in-place operation
Traceback (most recent call last): File "E:\迅雷下载\向量\000.代码+数据+课件\YOLO5\yolov5-master\train.py&q ...
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