lazy `RandAffine` has no effect

[function2-llx]

Describe the bug
When using RandAffine with lazy=True, it does not perform any transform at all.

To Reproduce

import torch

from monai import transforms as mt

def main():
    x = torch.randn(1, 32, 32, 32)
    trans = mt.Compose(
        [mt.RandAffine(1., translate_range=[(0, 0), (1, 1), (2, 2)])],
        lazy=False
    )
    print(trans(x).affine)
    lazy_trans = mt.Compose(
        [mt.RandAffine(1., translate_range=[(0, 0), (1, 1), (2, 2)])],
        lazy=True,
    )
    print(lazy_trans(x).affine)

if __name__ == '__main__':
    main()

Actual Result

tensor([[1., 0., 0., 0.],
        [0., 1., 0., 1.],
        [0., 0., 1., 2.],
        [0., 0., 0., 1.]], dtype=torch.float64)
tensor([[1., 0., 0., 0.],
        [0., 1., 0., 0.],
        [0., 0., 1., 0.],
        [0., 0., 0., 1.]], dtype=torch.float64)

[wyli]

thanks for testing and reporting @function2-llx, that's a good point, the bug was not detected earlier because we used the same transform instance to verify lazy/non-lazy consistency in this case

MONAI/tests/test_rand_affine.py

Lines 145 to 148 in e2fa53b

	g = RandAffine(**input_param)
	g.set_random_state(123)
	result = g(**input_data)
	test_resampler_lazy(g, result, input_param, input_data, seed=123)

, your PR #6774 addresses the issue, I'll try to make it backward compatible (in terms of pseudo random states) and merge it.