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我正在尝试使用torch.optim.adam. 它是redner教程系列中的一段代码，在初始设置下运行良好。它尝试通过将所有顶点移动相同的值来优化场景，称为translation。这是原始代码：

vertices = []
for obj in base:
    vertices.append(obj.vertices.clone())

def model(translation):
    for obj, v in zip(base, vertices):
        obj.vertices = v + translation
    # Assemble the 3D scene.
    scene = pyredner.Scene(camera = camera, objects = objects)
    # Render the scene.
    img = pyredner.render_albedo(scene)
    return img

# Initial guess
# Set requires_grad=True since we want to optimize them later

translation = torch.tensor([10.0, -10.0, 10.0], device = pyredner.get_device(), requires_grad=True)

init = model(translation)
# Visualize the initial …