TypeError: get_problem_data() got an unexpected keyword argument 'solver_opts'

[liw128]

When running the example code

import cvxpy as cp
import torch
from cvxpylayers.torch import CvxpyLayer

n, m = 2, 3
x = cp.Variable(n)
A = cp.Parameter((m, n))
b = cp.Parameter(m)
constraints = [x >= 0]
objective = cp.Minimize(0.5 * cp.pnorm(A @ x - b, p=1))
problem = cp.Problem(objective, constraints)
assert problem.is_dpp()

cvxpylayer = CvxpyLayer(problem, parameters=[A, b], variables=[x])
A_tch = torch.randn(m, n, requires_grad=True)
b_tch = torch.randn(m, requires_grad=True)

# solve the problem
solution, = cvxpylayer(A_tch, b_tch)

# compute the gradient of the sum of the solution with respect to A, b
solution.sum().backward()

I encounter the following error :

solution.sum().backward()Traceback (most recent call last):
File "D:\LYW_WORKPLACE_20220420\test.py", line 14, in
cvxpylayer = CvxpyLayer(problem, parameters=[A, b], variables=[x])
File "C:\Users\LYW\AppData\Roaming\Python\Python38\site-packages\cvxpylayers\torch\cvxpylayer.py", line 114, in init
data, _, _ = problem.get_problem_data(
TypeError: get_problem_data() got an unexpected keyword argument 'solver_opts'

There are similar problems when running other codes. Any idea to overcome this issue ?

[xuwkk]

Using an earlier version solves the problem.