[QUESTION]运行test失败

[xiyuecangxin]

NVIDIA-SMI 470.103.01 Driver Version: 470.103.01 CUDA Version: 11.8

Running cvcuda_test_python test suite...
================================================= test session starts =================================================
platform linux -- Python 3.8.10, pytest-7.2.0, pluggy-1.0.0
cachedir: /tmp/tmp.3N7gU7HeFT
rootdir: /workspace/CV-CUDA
collected 177 items

tests/cvcuda/python/test_bordertype.py .                                                                        [  0%]
tests/cvcuda/python/test_interptype.py .                                                                        [  1%]
tests/cvcuda/python/test_opaverageblur.py ..........                                                            [  6%]
tests/cvcuda/python/test_opbilateralfilter.py ........                                                          [ 11%]
tests/cvcuda/python/test_opcentercrop.py ....                                                                   [ 13%]
tests/cvcuda/python/test_opchannelreorder.py .                                                                  [ 14%]
tests/cvcuda/python/test_opcomposite.py .....                                                                   [ 16%]
tests/cvcuda/python/test_opconv2d.py .....                                                                      [ 19%]
tests/cvcuda/python/test_opconvertto.py ..                                                                      [ 20%]
tests/cvcuda/python/test_opcopymakeborder.py .......                                                            [ 24%]
tests/cvcuda/python/test_opcopymakeborder_varshape.py ....FF                                                    [ 28%]
tests/cvcuda/python/test_opcustomcrop.py FFF                                                                    [ 29%]
tests/cvcuda/python/test_opcvtcolor.py FFFFFFFFFF                                                               [ 35%]
tests/cvcuda/python/test_operase.py FF                                                                          [ 36%]
tests/cvcuda/python/test_operase_varshape.py FF                                                                 [ 37%]
tests/cvcuda/python/test_opflip.py FFFFFFFFFF                                                                   [ 43%]
tests/cvcuda/python/test_opgammacontrast.py FFFF                                                                [ 45%]
tests/cvcuda/python/test_opgaussian.py FFFFFFFFFF                                                               [ 51%]
tests/cvcuda/python/test_oplaplacian.py FFFFFFFFFF                                                              [ 57%]
tests/cvcuda/python/test_opmedianblur.py FFFFFF                                                                 [ 60%]
tests/cvcuda/python/test_opmorphology.py FFFFFFFFFF                                                             [ 66%]
tests/cvcuda/python/test_opnormalize.py FFFFFF                                                                  [ 69%]
tests/cvcuda/python/test_oppadandstack.py F                                                                     [ 70%]
tests/cvcuda/python/test_oppillowresize.py FFFFFFFFF                                                            [ 75%]
tests/cvcuda/python/test_opreformat.py FFF                                                                      [ 76%]
tests/cvcuda/python/test_opresize.py FFFFF                                                                      [ 79%]
tests/cvcuda/python/test_oprotate.py FFFFFFFFF                                                                  [ 84%]
tests/cvcuda/python/test_opwarpaffine.py FFFFFFFFFFF                                                            [ 90%]
tests/cvcuda/python/test_opwarpperspective.py FFFFFFFFFFF                                                       [ 97%]
tests/cvcuda/python/test_util.py FFFFF                                                                          [100%]
====================================================== FAILURES =======================================================
______________ test_op_copymakeborder[8-format4-min_out_size4-max_out_size4-border_mode4-border_value4] _______________

num_images = 8, format = nvcv.Format.RGB8, min_out_size = (1, 1), max_out_size = (128, 128)
border_mode = <Border.REFLECT: 2>, border_value = [0]

    @t.mark.parametrize(
        "num_images, format, min_out_size, max_out_size, border_mode, border_value",
        [
            (
                4,
                cvcuda.RGBf32,
                (1, 1),
                (128, 128),
                cvcuda.Border.CONSTANT,
                [0],
            ),
            (
                5,
                cvcuda.RGB8,
                (1, 1),
                (128, 128),
                cvcuda.Border.CONSTANT,
                [12, 3, 4, 55],
            ),
            (
                9,
                cvcuda.RGBA8,
                (1, 1),
                (128, 128),
                cvcuda.Border.WRAP,
                [0],
            ),
            (
                12,
                cvcuda.RGBAf32,
                (1, 1),
                (128, 128),
                cvcuda.Border.REPLICATE,
                [0],
            ),
            (
                8,
                cvcuda.RGB8,
                (1, 1),
                (128, 128),
                cvcuda.Border.REFLECT,
                [0],
            ),
            (
                10,
                cvcuda.RGBA8,
                (1, 1),
                (128, 128),
                cvcuda.Border.REFLECT101,
                [0],
            ),
        ],
    )
    def test_op_copymakeborder(
        num_images, format, min_out_size, max_out_size, border_mode, border_value
    ):
        max_out_w = randint(min_out_size[0], max_out_size[0])
        max_out_h = randint(min_out_size[1], max_out_size[1])

        input = cvcuda.ImageBatchVarShape(num_images)
        varshape_out = cvcuda.ImageBatchVarShape(num_images)
        out_heights = []
        out_widths = []
        for i in range(num_images):
            w = randint(1, max_out_w)
            h = randint(1, max_out_h)
            img_i = cvcuda.Image([w, h], format)
>           input.pushback(img_i)
E           RuntimeError: NVCV_ERROR_INTERNAL: (cudaErrorIllegalAddress)

E           RuntimeError: cudaErrorIllegalAddress: an illegal memory access was encountered

从test_opcopymakeborder_varshape开始全都失败，而后面的所有例子都会报显存地址问题，请问这个input.pushback(img_i)发生了什么错误？

[bhaefnerNV]

@xiyuecangxin this has been addressed in CV-CUDA Release v0.3.1 Beta.

We'll close it for now, feel free to reopen if the issue persists.