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 SMBLD
		cur_beta_idx, cur_step = i // num_steps, i % num_steps
		val = shape_range[cur_step]
		mesh.multi_betas[0, cur_beta_idx] = val  # Update betas
		fig.suptitle(f"{name.title()}\nS{cur_beta_idx} : {val:+.2f}", fontsize=50)  # update text

		return dict(mesh=mesh.get_meshes(), equalize=False)

修改后代码

添加 with torch.no_grad():即可

	def anim(i):
		# update SMBLD
		cur_beta_idx, cur_step = i // num_steps, i % num_steps
		val = 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 betas
		fig.suptitle(f"{name.title()}\nS{cur_beta_idx} : {val:+.2f}", fontsize=50)  # update text

		return 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