报错 RuntimeError: a view of a leaf Variable that requires grad is being used in an in-place operation
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 % num_stepsval = shape_range[cur_step]mesh.multi_betas[0, cur_beta_idx] = val # Update betasfig.suptitle(f"{name.title()}\nS{cur_beta_idx} : {val:+.2f}", fontsize=50) # update textreturn dict(mesh=mesh.get_meshes(), equalize=False)修改后代码
添加 with torch.no_grad():即可
def anim(i):# update SMBLDcur_beta_idx, cur_step = i // num_steps, i % num_stepsval = shape_range[cur_step]#print("\ncur_beta_idx:",cur_beta_idx,mesh.multi_betas[0, cur_beta_idx])with torch.no_grad():###添加mesh.multi_betas[0, cur_beta_idx] = val # Update betasfig.suptitle(f"{name.title()}\nS{cur_beta_idx} : {val:+.2f}", fontsize=50) # update textreturn dict(mesh=mesh.get_meshes(), equalize=False)参考文章
yolov5报错:RuntimeError: a view of a leaf Variable that requires grad is being used in an in-place
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- 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 use ...
- 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 ...
- RuntimeError:a leaf Variable that requires grad has been used in an in-place
原文链接:https://blog.csdn.net/weixin_43056332/article/details/115188116 记录一下训练yolov5碰到的问题 RuntimeError: ...
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