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GPU Tests Failed #2887

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agoose77 opened this issue Dec 11, 2023 · 2 comments
Closed

GPU Tests Failed #2887

agoose77 opened this issue Dec 11, 2023 · 2 comments

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@agoose77
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The GPU tests failed for commit 7687108 with the following pytest output:

.array([123, 123, 123], dtype=cupy.int64)
        multistops = cupy.array([123, 123, 123], dtype=cupy.int64)
        singleoffsets = cupy.array([2, 3, 3, 4, 5, 5, 5, 5, 5, 6, 7, 8, 10, 11], dtype=cupy.int64)
        tocarry = cupy.array([123, 123, 123], dtype=cupy.int64)
        fromstarts = cupy.array([0, 0, 0, 0, 0, 0, 0, 0], dtype=cupy.int32)
        fromstops = cupy.array([1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.int32)
        jaggedsize = 1
        length = 3
        funcC = cupy_backend['awkward_ListArray_getitem_jagged_expand', cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.int32, cupy.int32]
        funcC(multistarts, multistops, singleoffsets, tocarry, fromstarts, fromstops, jaggedsize, length)
    
        try:
            ak_cu.synchronize_cuda()
        except:
>           pytest.fail("This test case shouldn't have raised an error")
E           Failed: This test case shouldn't have raised an error

fromstarts = array([0, 0, 0, 0, 0, 0, 0, 0], dtype=int32)
fromstops  = array([1, 1, 1, 1, 1, 1, 1, 1], dtype=int32)
funcC      = <CupyKernel awkward_ListArray_getitem_jagged_expand, int64, int64, int64, int64, int32, int32>
jaggedsize = 1
length     = 3
multistarts = array([2, 2, 2])
multistops = array([3, 3, 3])
singleoffsets = array([ 2,  3,  3,  4,  5,  5,  5,  5,  5,  6,  7,  8, 10, 11])
tocarry    = array([0, 0, 0])

tests-cuda-kernels/test_cudaawkward_ListArray32_getitem_jagged_expand_64.py:58: Failed
___________ test_cuda_awkward_ListArray32_getitem_jagged_expand_64_3 ___________

    def test_cuda_awkward_ListArray32_getitem_jagged_expand_64_3():
        multistarts = cupy.array([123, 123, 123], dtype=cupy.int64)
        multistops = cupy.array([123, 123, 123], dtype=cupy.int64)
        singleoffsets = cupy.array([2, 1, 0, 1, 2, 0, 1, 2, 2, 2, 1, 2, 1, 0, 0, 0, 0], dtype=cupy.int64)
        tocarry = cupy.array([123, 123, 123], dtype=cupy.int64)
        fromstarts = cupy.array([0, 0, 0, 0, 0, 0, 0, 0], dtype=cupy.int32)
        fromstops = cupy.array([1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.int32)
        jaggedsize = 1
        length = 3
        funcC = cupy_backend['awkward_ListArray_getitem_jagged_expand', cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.int32, cupy.int32]
        funcC(multistarts, multistops, singleoffsets, tocarry, fromstarts, fromstops, jaggedsize, length)
    
        try:
>           ak_cu.synchronize_cuda()

fromstarts = array([0, 0, 0, 0, 0, 0, 0, 0], dtype=int32)
fromstops  = array([1, 1, 1, 1, 1, 1, 1, 1], dtype=int32)
funcC      = <CupyKernel awkward_ListArray_getitem_jagged_expand, int64, int64, int64, int64, int32, int32>
jaggedsize = 1
length     = 3
multistarts = array([2, 2, 2])
multistops = array([1, 1, 1])
singleoffsets = array([2, 1, 0, 1, 2, 0, 1, 2, 2, 2, 1, 2, 1, 0, 0, 0, 0])
tocarry    = array([0, 0, 0])

tests-cuda-kernels/test_cudaawkward_ListArray32_getitem_jagged_expand_64.py:79: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

stream = <Stream 0 (device -1)>

    def synchronize_cuda(stream=None):
        cupy = import_cupy("Awkward Arrays with CUDA")
    
        if stream is None:
            stream = cupy.cuda.get_current_stream()
    
        stream.synchronize()
    
        invocation_index = cuda_streamptr_to_contexts[stream.ptr][0].get().tolist()
        contexts = cuda_streamptr_to_contexts[stream.ptr][1]
    
        if invocation_index != NO_ERROR:
            invoked_kernel = contexts[int(invocation_index // math.pow(2, ERROR_BITS))]
            cuda_streamptr_to_contexts[stream.ptr] = (
                cupy.array(NO_ERROR),
                [],
            )
>           raise invoked_kernel.error_context.decorate_exception(
                ValueError,
                ValueError(
                    f"{kernel_errors[invoked_kernel.name][int(invocation_index % math.pow(2, ERROR_BITS))]} in compiled CUDA code ({invoked_kernel.name})"
                ),
            )
E           AttributeError: 'NoneType' object has no attribute 'decorate_exception'

contexts   = [<awkward._connect.cuda.Invocation object at 0x7f7ebdd345e0>]
cupy       = <module 'cupy' from '/opt/build-venv/lib/python3.8/site-packages/cupy/__init__.py'>
invocation_index = 0
invoked_kernel = <awkward._connect.cuda.Invocation object at 0x7f7ebdd345e0>
stream     = <Stream 0 (device -1)>

/opt/build-venv/lib/python3.8/site-packages/awkward/_connect/cuda/__init__.py:215: AttributeError

During handling of the above exception, another exception occurred:

    def test_cuda_awkward_ListArray32_getitem_jagged_expand_64_3():
        multistarts = cupy.array([123, 123, 123], dtype=cupy.int64)
        multistops = cupy.array([123, 123, 123], dtype=cupy.int64)
        singleoffsets = cupy.array([2, 1, 0, 1, 2, 0, 1, 2, 2, 2, 1, 2, 1, 0, 0, 0, 0], dtype=cupy.int64)
        tocarry = cupy.array([123, 123, 123], dtype=cupy.int64)
        fromstarts = cupy.array([0, 0, 0, 0, 0, 0, 0, 0], dtype=cupy.int32)
        fromstops = cupy.array([1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.int32)
        jaggedsize = 1
        length = 3
        funcC = cupy_backend['awkward_ListArray_getitem_jagged_expand', cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.int32, cupy.int32]
        funcC(multistarts, multistops, singleoffsets, tocarry, fromstarts, fromstops, jaggedsize, length)
    
        try:
            ak_cu.synchronize_cuda()
        except:
>           pytest.fail("This test case shouldn't have raised an error")
E           Failed: This test case shouldn't have raised an error

fromstarts = array([0, 0, 0, 0, 0, 0, 0, 0], dtype=int32)
fromstops  = array([1, 1, 1, 1, 1, 1, 1, 1], dtype=int32)
funcC      = <CupyKernel awkward_ListArray_getitem_jagged_expand, int64, int64, int64, int64, int32, int32>
jaggedsize = 1
length     = 3
multistarts = array([2, 2, 2])
multistops = array([1, 1, 1])
singleoffsets = array([2, 1, 0, 1, 2, 0, 1, 2, 2, 2, 1, 2, 1, 0, 0, 0, 0])
tocarry    = array([0, 0, 0])

tests-cuda-kernels/test_cudaawkward_ListArray32_getitem_jagged_expand_64.py:81: Failed
___________ test_cuda_awkward_ListArray32_getitem_jagged_expand_64_4 ___________

    def test_cuda_awkward_ListArray32_getitem_jagged_expand_64_4():
        multistarts = cupy.array([123, 123, 123], dtype=cupy.int64)
        multistops = cupy.array([123, 123, 123], dtype=cupy.int64)
        singleoffsets = cupy.array([1, 0, 2, 3, 1, 2, 0, 0, 1, 1, 2, 3, 1, 2, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.int64)
        tocarry = cupy.array([123, 123, 123], dtype=cupy.int64)
        fromstarts = cupy.array([0, 0, 0, 0, 0, 0, 0, 0], dtype=cupy.int32)
        fromstops = cupy.array([1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.int32)
        jaggedsize = 1
        length = 3
        funcC = cupy_backend['awkward_ListArray_getitem_jagged_expand', cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.int32, cupy.int32]
        funcC(multistarts, multistops, singleoffsets, tocarry, fromstarts, fromstops, jaggedsize, length)
    
        try:
>           ak_cu.synchronize_cuda()

fromstarts = array([0, 0, 0, 0, 0, 0, 0, 0], dtype=int32)
fromstops  = array([1, 1, 1, 1, 1, 1, 1, 1], dtype=int32)
funcC      = <CupyKernel awkward_ListArray_getitem_jagged_expand, int64, int64, int64, int64, int32, int32>
jaggedsize = 1
length     = 3
multistarts = array([1, 1, 1])
multistops = array([0, 0, 0])
singleoffsets = array([1, 0, 2, 3, 1, 2, 0, 0, 1, 1, 2, 3, 1, 2, 3, 1, 1, 1, 1, 1, 1, 1,
       1, 1, 1])
tocarry    = array([0, 0, 0])

tests-cuda-kernels/test_cudaawkward_ListArray32_getitem_jagged_expand_64.py:102: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

stream = <Stream 0 (device -1)>

    def synchronize_cuda(stream=None):
        cupy = import_cupy("Awkward Arrays with CUDA")
    
        if stream is None:
            stream = cupy.cuda.get_current_stream()
    
        stream.synchronize()
    
        invocation_index = cuda_streamptr_to_contexts[stream.ptr][0].get().tolist()
        contexts = cuda_streamptr_to_contexts[stream.ptr][1]
    
        if invocation_index != NO_ERROR:
            invoked_kernel = contexts[int(invocation_index // math.pow(2, ERROR_BITS))]
            cuda_streamptr_to_contexts[stream.ptr] = (
                cupy.array(NO_ERROR),
                [],
            )
>           raise invoked_kernel.error_context.decorate_exception(
                ValueError,
                ValueError(
                    f"{kernel_errors[invoked_kernel.name][int(invocation_index % math.pow(2, ERROR_BITS))]} in compiled CUDA code ({invoked_kernel.name})"
                ),
            )
E           AttributeError: 'NoneType' object has no attribute 'decorate_exception'

contexts   = [<awkward._connect.cuda.Invocation object at 0x7f7ebdc8e4c0>]
cupy       = <module 'cupy' from '/opt/build-venv/lib/python3.8/site-packages/cupy/__init__.py'>
invocation_index = 0
invoked_kernel = <awkward._connect.cuda.Invocation object at 0x7f7ebdc8e4c0>
stream     = <Stream 0 (device -1)>

/opt/build-venv/lib/python3.8/site-packages/awkward/_connect/cuda/__init__.py:215: AttributeError

During handling of the above exception, another exception occurred:

    def test_cuda_awkward_ListArray32_getitem_jagged_expand_64_4():
        multistarts = cupy.array([123, 123, 123], dtype=cupy.int64)
        multistops = cupy.array([123, 123, 123], dtype=cupy.int64)
        singleoffsets = cupy.array([1, 0, 2, 3, 1, 2, 0, 0, 1, 1, 2, 3, 1, 2, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.int64)
        tocarry = cupy.array([123, 123, 123], dtype=cupy.int64)
        fromstarts = cupy.array([0, 0, 0, 0, 0, 0, 0, 0], dtype=cupy.int32)
        fromstops = cupy.array([1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.int32)
        jaggedsize = 1
        length = 3
        funcC = cupy_backend['awkward_ListArray_getitem_jagged_expand', cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.int32, cupy.int32]
        funcC(multistarts, multistops, singleoffsets, tocarry, fromstarts, fromstops, jaggedsize, length)
    
        try:
            ak_cu.synchronize_cuda()
        except:
>           pytest.fail("This test case shouldn't have raised an error")
E           Failed: This test case shouldn't have raised an error

fromstarts = array([0, 0, 0, 0, 0, 0, 0, 0], dtype=int32)
fromstops  = array([1, 1, 1, 1, 1, 1, 1, 1], dtype=int32)
funcC      = <CupyKernel awkward_ListArray_getitem_jagged_expand, int64, int64, int64, int64, int32, int32>
jaggedsize = 1
length     = 3
multistarts = array([1, 1, 1])
multistops = array([0, 0, 0])
singleoffsets = array([1, 0, 2, 3, 1, 2, 0, 0, 1, 1, 2, 3, 1, 2, 3, 1, 1, 1, 1, 1, 1, 1,
       1, 1, 1])
tocarry    = array([0, 0, 0])

tests-cuda-kernels/test_cudaawkward_ListArray32_getitem_jagged_expand_64.py:104: Failed
___________ test_cuda_awkward_ListArray64_getitem_jagged_expand_64_1 ___________

    def test_cuda_awkward_ListArray64_getitem_jagged_expand_64_1():
        multistarts = cupy.array([123, 123, 123], dtype=cupy.int64)
        multistops = cupy.array([123, 123, 123], dtype=cupy.int64)
        singleoffsets = cupy.array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.int64)
        tocarry = cupy.array([123, 123, 123], dtype=cupy.int64)
        fromstarts = cupy.array([0, 0, 0, 0, 0, 0, 0, 0], dtype=cupy.int64)
        fromstops = cupy.array([1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.int64)
        jaggedsize = 1
        length = 3
        funcC = cupy_backend['awkward_ListArray_getitem_jagged_expand', cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.int64]
        funcC(multistarts, multistops, singleoffsets, tocarry, fromstarts, fromstops, jaggedsize, length)
    
        try:
>           ak_cu.synchronize_cuda()

fromstarts = array([0, 0, 0, 0, 0, 0, 0, 0])
fromstops  = array([1, 1, 1, 1, 1, 1, 1, 1])
funcC      = <CupyKernel awkward_ListArray_getitem_jagged_expand, int64, int64, int64, int64, int64, int64>
jaggedsize = 1
length     = 3
multistarts = array([1, 1, 1])
multistops = array([1, 1, 1])
singleoffsets = array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
tocarry    = array([0, 0, 0])

tests-cuda-kernels/test_cudaawkward_ListArray64_getitem_jagged_expand_64.py:33: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

stream = <Stream 0 (device -1)>

    def synchronize_cuda(stream=None):
        cupy = import_cupy("Awkward Arrays with CUDA")
    
        if stream is None:
            stream = cupy.cuda.get_current_stream()
    
        stream.synchronize()
    
        invocation_index = cuda_streamptr_to_contexts[stream.ptr][0].get().tolist()
        contexts = cuda_streamptr_to_contexts[stream.ptr][1]
    
        if invocation_index != NO_ERROR:
            invoked_kernel = contexts[int(invocation_index // math.pow(2, ERROR_BITS))]
            cuda_streamptr_to_contexts[stream.ptr] = (
                cupy.array(NO_ERROR),
                [],
            )
>           raise invoked_kernel.error_context.decorate_exception(
                ValueError,
                ValueError(
                    f"{kernel_errors[invoked_kernel.name][int(invocation_index % math.pow(2, ERROR_BITS))]} in compiled CUDA code ({invoked_kernel.name})"
                ),
            )
E           AttributeError: 'NoneType' object has no attribute 'decorate_exception'

contexts   = [<awkward._connect.cuda.Invocation object at 0x7f7ebdd81fa0>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebdd81370>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebdd81760>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebdd81d00>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebdd81550>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebdd81af0>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebdd81dc0>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebdd81460>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebdd81490>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebdd81a90>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebdd81c10>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebdd62a60>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebdd62f70>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebdd62dc0>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebdd623a0>]
cupy       = <module 'cupy' from '/opt/build-venv/lib/python3.8/site-packages/cupy/__init__.py'>
invocation_index = 3584
invoked_kernel = <awkward._connect.cuda.Invocation object at 0x7f7ebdd623a0>
stream     = <Stream 0 (device -1)>

/opt/build-venv/lib/python3.8/site-packages/awkward/_connect/cuda/__init__.py:215: AttributeError

During handling of the above exception, another exception occurred:

    def test_cuda_awkward_ListArray64_getitem_jagged_expand_64_1():
        multistarts = cupy.array([123, 123, 123], dtype=cupy.int64)
        multistops = cupy.array([123, 123, 123], dtype=cupy.int64)
        singleoffsets = cupy.array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.int64)
        tocarry = cupy.array([123, 123, 123], dtype=cupy.int64)
        fromstarts = cupy.array([0, 0, 0, 0, 0, 0, 0, 0], dtype=cupy.int64)
        fromstops = cupy.array([1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.int64)
        jaggedsize = 1
        length = 3
        funcC = cupy_backend['awkward_ListArray_getitem_jagged_expand', cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.int64]
        funcC(multistarts, multistops, singleoffsets, tocarry, fromstarts, fromstops, jaggedsize, length)
    
        try:
            ak_cu.synchronize_cuda()
        except:
>           pytest.fail("This test case shouldn't have raised an error")
E           Failed: This test case shouldn't have raised an error

fromstarts = array([0, 0, 0, 0, 0, 0, 0, 0])
fromstops  = array([1, 1, 1, 1, 1, 1, 1, 1])
funcC      = <CupyKernel awkward_ListArray_getitem_jagged_expand, int64, int64, int64, int64, int64, int64>
jaggedsize = 1
length     = 3
multistarts = array([1, 1, 1])
multistops = array([1, 1, 1])
singleoffsets = array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
tocarry    = array([0, 0, 0])

tests-cuda-kernels/test_cudaawkward_ListArray64_getitem_jagged_expand_64.py:35: Failed
___________ test_cuda_awkward_ListArray64_getitem_jagged_expand_64_2 ___________

    def test_cuda_awkward_ListArray64_getitem_jagged_expand_64_2():
        multistarts = cupy.array([123, 123, 123], dtype=cupy.int64)
        multistops = cupy.array([123, 123, 123], dtype=cupy.int64)
        singleoffsets = cupy.array([2, 3, 3, 4, 5, 5, 5, 5, 5, 6, 7, 8, 10, 11], dtype=cupy.int64)
        tocarry = cupy.array([123, 123, 123], dtype=cupy.int64)
        fromstarts = cupy.array([0, 0, 0, 0, 0, 0, 0, 0], dtype=cupy.int64)
        fromstops = cupy.array([1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.int64)
        jaggedsize = 1
        length = 3
        funcC = cupy_backend['awkward_ListArray_getitem_jagged_expand', cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.int64]
        funcC(multistarts, multistops, singleoffsets, tocarry, fromstarts, fromstops, jaggedsize, length)
    
        try:
>           ak_cu.synchronize_cuda()

fromstarts = array([0, 0, 0, 0, 0, 0, 0, 0])
fromstops  = array([1, 1, 1, 1, 1, 1, 1, 1])
funcC      = <CupyKernel awkward_ListArray_getitem_jagged_expand, int64, int64, int64, int64, int64, int64>
jaggedsize = 1
length     = 3
multistarts = array([2, 2, 2])
multistops = array([3, 3, 3])
singleoffsets = array([ 2,  3,  3,  4,  5,  5,  5,  5,  5,  6,  7,  8, 10, 11])
tocarry    = array([0, 0, 0])

tests-cuda-kernels/test_cudaawkward_ListArray64_getitem_jagged_expand_64.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

stream = <Stream 0 (device -1)>

    def synchronize_cuda(stream=None):
        cupy = import_cupy("Awkward Arrays with CUDA")
    
        if stream is None:
            stream = cupy.cuda.get_current_stream()
    
        stream.synchronize()
    
        invocation_index = cuda_streamptr_to_contexts[stream.ptr][0].get().tolist()
        contexts = cuda_streamptr_to_contexts[stream.ptr][1]
    
        if invocation_index != NO_ERROR:
            invoked_kernel = contexts[int(invocation_index // math.pow(2, ERROR_BITS))]
            cuda_streamptr_to_contexts[stream.ptr] = (
                cupy.array(NO_ERROR),
                [],
            )
>           raise invoked_kernel.error_context.decorate_exception(
                ValueError,
                ValueError(
                    f"{kernel_errors[invoked_kernel.name][int(invocation_index % math.pow(2, ERROR_BITS))]} in compiled CUDA code ({invoked_kernel.name})"
                ),
            )
E           AttributeError: 'NoneType' object has no attribute 'decorate_exception'

contexts   = [<awkward._connect.cuda.Invocation object at 0x7f7ebdb41d30>]
cupy       = <module 'cupy' from '/opt/build-venv/lib/python3.8/site-packages/cupy/__init__.py'>
invocation_index = 0
invoked_kernel = <awkward._connect.cuda.Invocation object at 0x7f7ebdb41d30>
stream     = <Stream 0 (device -1)>

/opt/build-venv/lib/python3.8/site-packages/awkward/_connect/cuda/__init__.py:215: AttributeError

During handling of the above exception, another exception occurred:

    def test_cuda_awkward_ListArray64_getitem_jagged_expand_64_2():
        multistarts = cupy.array([123, 123, 123], dtype=cupy.int64)
        multistops = cupy.array([123, 123, 123], dtype=cupy.int64)
        singleoffsets = cupy.array([2, 3, 3, 4, 5, 5, 5, 5, 5, 6, 7, 8, 10, 11], dtype=cupy.int64)
        tocarry = cupy.array([123, 123, 123], dtype=cupy.int64)
        fromstarts = cupy.array([0, 0, 0, 0, 0, 0, 0, 0], dtype=cupy.int64)
        fromstops = cupy.array([1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.int64)
        jaggedsize = 1
        length = 3
        funcC = cupy_backend['awkward_ListArray_getitem_jagged_expand', cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.int64]
        funcC(multistarts, multistops, singleoffsets, tocarry, fromstarts, fromstops, jaggedsize, length)
    
        try:
            ak_cu.synchronize_cuda()
        except:
>           pytest.fail("This test case shouldn't have raised an error")
E           Failed: This test case shouldn't have raised an error

fromstarts = array([0, 0, 0, 0, 0, 0, 0, 0])
fromstops  = array([1, 1, 1, 1, 1, 1, 1, 1])
funcC      = <CupyKernel awkward_ListArray_getitem_jagged_expand, int64, int64, int64, int64, int64, int64>
jaggedsize = 1
length     = 3
multistarts = array([2, 2, 2])
multistops = array([3, 3, 3])
singleoffsets = array([ 2,  3,  3,  4,  5,  5,  5,  5,  5,  6,  7,  8, 10, 11])
tocarry    = array([0, 0, 0])

tests-cuda-kernels/test_cudaawkward_ListArray64_getitem_jagged_expand_64.py:58: Failed
___________ test_cuda_awkward_ListArray64_getitem_jagged_expand_64_3 ___________

    def test_cuda_awkward_ListArray64_getitem_jagged_expand_64_3():
        multistarts = cupy.array([123, 123, 123], dtype=cupy.int64)
        multistops = cupy.array([123, 123, 123], dtype=cupy.int64)
        singleoffsets = cupy.array([2, 1, 0, 1, 2, 0, 1, 2, 2, 2, 1, 2, 1, 0, 0, 0, 0], dtype=cupy.int64)
        tocarry = cupy.array([123, 123, 123], dtype=cupy.int64)
        fromstarts = cupy.array([0, 0, 0, 0, 0, 0, 0, 0], dtype=cupy.int64)
        fromstops = cupy.array([1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.int64)
        jaggedsize = 1
        length = 3
        funcC = cupy_backend['awkward_ListArray_getitem_jagged_expand', cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.int64]
        funcC(multistarts, multistops, singleoffsets, tocarry, fromstarts, fromstops, jaggedsize, length)
    
        try:
>           ak_cu.synchronize_cuda()

fromstarts = array([0, 0, 0, 0, 0, 0, 0, 0])
fromstops  = array([1, 1, 1, 1, 1, 1, 1, 1])
funcC      = <CupyKernel awkward_ListArray_getitem_jagged_expand, int64, int64, int64, int64, int64, int64>
jaggedsize = 1
length     = 3
multistarts = array([2, 2, 2])
multistops = array([1, 1, 1])
singleoffsets = array([2, 1, 0, 1, 2, 0, 1, 2, 2, 2, 1, 2, 1, 0, 0, 0, 0])
tocarry    = array([0, 0, 0])

tests-cuda-kernels/test_cudaawkward_ListArray64_getitem_jagged_expand_64.py:79: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

stream = <Stream 0 (device -1)>

    def synchronize_cuda(stream=None):
        cupy = import_cupy("Awkward Arrays with CUDA")
    
        if stream is None:
            stream = cupy.cuda.get_current_stream()
    
        stream.synchronize()
    
        invocation_index = cuda_streamptr_to_contexts[stream.ptr][0].get().tolist()
        contexts = cuda_streamptr_to_contexts[stream.ptr][1]
    
        if invocation_index != NO_ERROR:
            invoked_kernel = contexts[int(invocation_index // math.pow(2, ERROR_BITS))]
            cuda_streamptr_to_contexts[stream.ptr] = (
                cupy.array(NO_ERROR),
                [],
            )
>           raise invoked_kernel.error_context.decorate_exception(
                ValueError,
                ValueError(
                    f"{kernel_errors[invoked_kernel.name][int(invocation_index % math.pow(2, ERROR_BITS))]} in compiled CUDA code ({invoked_kernel.name})"
                ),
            )
E           AttributeError: 'NoneType' object has no attribute 'decorate_exception'

contexts   = [<awkward._connect.cuda.Invocation object at 0x7f7ebd05f490>]
cupy       = <module 'cupy' from '/opt/build-venv/lib/python3.8/site-packages/cupy/__init__.py'>
invocation_index = 1
invoked_kernel = <awkward._connect.cuda.Invocation object at 0x7f7ebd05f490>
stream     = <Stream 0 (device -1)>

/opt/build-venv/lib/python3.8/site-packages/awkward/_connect/cuda/__init__.py:215: AttributeError

During handling of the above exception, another exception occurred:

    def test_cuda_awkward_ListArray64_getitem_jagged_expand_64_3():
        multistarts = cupy.array([123, 123, 123], dtype=cupy.int64)
        multistops = cupy.array([123, 123, 123], dtype=cupy.int64)
        singleoffsets = cupy.array([2, 1, 0, 1, 2, 0, 1, 2, 2, 2, 1, 2, 1, 0, 0, 0, 0], dtype=cupy.int64)
        tocarry = cupy.array([123, 123, 123], dtype=cupy.int64)
        fromstarts = cupy.array([0, 0, 0, 0, 0, 0, 0, 0], dtype=cupy.int64)
        fromstops = cupy.array([1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.int64)
        jaggedsize = 1
        length = 3
        funcC = cupy_backend['awkward_ListArray_getitem_jagged_expand', cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.int64]
        funcC(multistarts, multistops, singleoffsets, tocarry, fromstarts, fromstops, jaggedsize, length)
    
        try:
            ak_cu.synchronize_cuda()
        except:
>           pytest.fail("This test case shouldn't have raised an error")
E           Failed: This test case shouldn't have raised an error

fromstarts = array([0, 0, 0, 0, 0, 0, 0, 0])
fromstops  = array([1, 1, 1, 1, 1, 1, 1, 1])
funcC      = <CupyKernel awkward_ListArray_getitem_jagged_expand, int64, int64, int64, int64, int64, int64>
jaggedsize = 1
length     = 3
multistarts = array([2, 2, 2])
multistops = array([1, 1, 1])
singleoffsets = array([2, 1, 0, 1, 2, 0, 1, 2, 2, 2, 1, 2, 1, 0, 0, 0, 0])
tocarry    = array([0, 0, 0])

tests-cuda-kernels/test_cudaawkward_ListArray64_getitem_jagged_expand_64.py:81: Failed
___________ test_cuda_awkward_ListArray64_getitem_jagged_expand_64_4 ___________

    def test_cuda_awkward_ListArray64_getitem_jagged_expand_64_4():
        multistarts = cupy.array([123, 123, 123], dtype=cupy.int64)
        multistops = cupy.array([123, 123, 123], dtype=cupy.int64)
        singleoffsets = cupy.array([1, 0, 2, 3, 1, 2, 0, 0, 1, 1, 2, 3, 1, 2, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.int64)
        tocarry = cupy.array([123, 123, 123], dtype=cupy.int64)
        fromstarts = cupy.array([0, 0, 0, 0, 0, 0, 0, 0], dtype=cupy.int64)
        fromstops = cupy.array([1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.int64)
        jaggedsize = 1
        length = 3
        funcC = cupy_backend['awkward_ListArray_getitem_jagged_expand', cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.int64]
        funcC(multistarts, multistops, singleoffsets, tocarry, fromstarts, fromstops, jaggedsize, length)
    
        try:
>           ak_cu.synchronize_cuda()

fromstarts = array([0, 0, 0, 0, 0, 0, 0, 0])
fromstops  = array([1, 1, 1, 1, 1, 1, 1, 1])
funcC      = <CupyKernel awkward_ListArray_getitem_jagged_expand, int64, int64, int64, int64, int64, int64>
jaggedsize = 1
length     = 3
multistarts = array([1, 1, 1])
multistops = array([0, 0, 0])
singleoffsets = array([1, 0, 2, 3, 1, 2, 0, 0, 1, 1, 2, 3, 1, 2, 3, 1, 1, 1, 1, 1, 1, 1,
       1, 1, 1])
tocarry    = array([0, 0, 0])

tests-cuda-kernels/test_cudaawkward_ListArray64_getitem_jagged_expand_64.py:102: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

stream = <Stream 0 (device -1)>

    def synchronize_cuda(stream=None):
        cupy = import_cupy("Awkward Arrays with CUDA")
    
        if stream is None:
            stream = cupy.cuda.get_current_stream()
    
        stream.synchronize()
    
        invocation_index = cuda_streamptr_to_contexts[stream.ptr][0].get().tolist()
        contexts = cuda_streamptr_to_contexts[stream.ptr][1]
    
        if invocation_index != NO_ERROR:
            invoked_kernel = contexts[int(invocation_index // math.pow(2, ERROR_BITS))]
            cuda_streamptr_to_contexts[stream.ptr] = (
                cupy.array(NO_ERROR),
                [],
            )
>           raise invoked_kernel.error_context.decorate_exception(
                ValueError,
                ValueError(
                    f"{kernel_errors[invoked_kernel.name][int(invocation_index % math.pow(2, ERROR_BITS))]} in compiled CUDA code ({invoked_kernel.name})"
                ),
            )
E           AttributeError: 'NoneType' object has no attribute 'decorate_exception'

contexts   = [<awkward._connect.cuda.Invocation object at 0x7f7ebdad9ac0>]
cupy       = <module 'cupy' from '/opt/build-venv/lib/python3.8/site-packages/cupy/__init__.py'>
invocation_index = 0
invoked_kernel = <awkward._connect.cuda.Invocation object at 0x7f7ebdad9ac0>
stream     = <Stream 0 (device -1)>

/opt/build-venv/lib/python3.8/site-packages/awkward/_connect/cuda/__init__.py:215: AttributeError

During handling of the above exception, another exception occurred:

    def test_cuda_awkward_ListArray64_getitem_jagged_expand_64_4():
        multistarts = cupy.array([123, 123, 123], dtype=cupy.int64)
        multistops = cupy.array([123, 123, 123], dtype=cupy.int64)
        singleoffsets = cupy.array([1, 0, 2, 3, 1, 2, 0, 0, 1, 1, 2, 3, 1, 2, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.int64)
        tocarry = cupy.array([123, 123, 123], dtype=cupy.int64)
        fromstarts = cupy.array([0, 0, 0, 0, 0, 0, 0, 0], dtype=cupy.int64)
        fromstops = cupy.array([1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.int64)
        jaggedsize = 1
        length = 3
        funcC = cupy_backend['awkward_ListArray_getitem_jagged_expand', cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.int64]
        funcC(multistarts, multistops, singleoffsets, tocarry, fromstarts, fromstops, jaggedsize, length)
    
        try:
            ak_cu.synchronize_cuda()
        except:
>           pytest.fail("This test case shouldn't have raised an error")
E           Failed: This test case shouldn't have raised an error

fromstarts = array([0, 0, 0, 0, 0, 0, 0, 0])
fromstops  = array([1, 1, 1, 1, 1, 1, 1, 1])
funcC      = <CupyKernel awkward_ListArray_getitem_jagged_expand, int64, int64, int64, int64, int64, int64>
jaggedsize = 1
length     = 3
multistarts = array([1, 1, 1])
multistops = array([0, 0, 0])
singleoffsets = array([1, 0, 2, 3, 1, 2, 0, 0, 1, 1, 2, 3, 1, 2, 3, 1, 1, 1, 1, 1, 1, 1,
       1, 1, 1])
tocarry    = array([0, 0, 0])

tests-cuda-kernels/test_cudaawkward_ListArray64_getitem_jagged_expand_64.py:104: Failed
__________ test_cuda_awkward_ListArrayU32_getitem_jagged_expand_64_1 ___________

    def test_cuda_awkward_ListArrayU32_getitem_jagged_expand_64_1():
        multistarts = cupy.array([123, 123, 123], dtype=cupy.int64)
        multistops = cupy.array([123, 123, 123], dtype=cupy.int64)
        singleoffsets = cupy.array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.int64)
        tocarry = cupy.array([123, 123, 123], dtype=cupy.int64)
        fromstarts = cupy.array([0, 0, 0, 0, 0, 0, 0, 0], dtype=cupy.uint32)
        fromstops = cupy.array([1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.uint32)
        jaggedsize = 1
        length = 3
        funcC = cupy_backend['awkward_ListArray_getitem_jagged_expand', cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.uint32, cupy.uint32]
        funcC(multistarts, multistops, singleoffsets, tocarry, fromstarts, fromstops, jaggedsize, length)
    
        try:
>           ak_cu.synchronize_cuda()

fromstarts = array([0, 0, 0, 0, 0, 0, 0, 0], dtype=uint32)
fromstops  = array([1, 1, 1, 1, 1, 1, 1, 1], dtype=uint32)
funcC      = <CupyKernel awkward_ListArray_getitem_jagged_expand, int64, int64, int64, int64, uint32, uint32>
jaggedsize = 1
length     = 3
multistarts = array([1, 1, 1])
multistops = array([1, 1, 1])
singleoffsets = array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
tocarry    = array([0, 0, 0])

tests-cuda-kernels/test_cudaawkward_ListArrayU32_getitem_jagged_expand_64.py:33: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

stream = <Stream 0 (device -1)>

    def synchronize_cuda(stream=None):
        cupy = import_cupy("Awkward Arrays with CUDA")
    
        if stream is None:
            stream = cupy.cuda.get_current_stream()
    
        stream.synchronize()
    
        invocation_index = cuda_streamptr_to_contexts[stream.ptr][0].get().tolist()
        contexts = cuda_streamptr_to_contexts[stream.ptr][1]
    
        if invocation_index != NO_ERROR:
            invoked_kernel = contexts[int(invocation_index // math.pow(2, ERROR_BITS))]
            cuda_streamptr_to_contexts[stream.ptr] = (
                cupy.array(NO_ERROR),
                [],
            )
>           raise invoked_kernel.error_context.decorate_exception(
                ValueError,
                ValueError(
                    f"{kernel_errors[invoked_kernel.name][int(invocation_index % math.pow(2, ERROR_BITS))]} in compiled CUDA code ({invoked_kernel.name})"
                ),
            )
E           AttributeError: 'NoneType' object has no attribute 'decorate_exception'

contexts   = [<awkward._connect.cuda.Invocation object at 0x7f7ebcec7160>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebcec79d0>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebcec7610>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebcec7280>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebcec7f10>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebcec7820>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebcec76d0>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebcec7790>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebdc198e0>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebdc19a00>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebdc19670>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebdc19340>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebdc19c10>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebdc19610>,
 <awkward._connect.cuda.Invocation object at 0x7f7ebdc19640>]
cupy       = <module 'cupy' from '/opt/build-venv/lib/python3.8/site-packages/cupy/__init__.py'>
invocation_index = 3584
invoked_kernel = <awkward._connect.cuda.Invocation object at 0x7f7ebdc19640>
stream     = <Stream 0 (device -1)>

/opt/build-venv/lib/python3.8/site-packages/awkward/_connect/cuda/__init__.py:215: AttributeError

During handling of the above exception, another exception occurred:

    def test_cuda_awkward_ListArrayU32_getitem_jagged_expand_64_1():
        multistarts = cupy.array([123, 123, 123], dtype=cupy.int64)
        multistops = cupy.array([123, 123, 123], dtype=cupy.int64)
        singleoffsets = cupy.array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.int64)
        tocarry = cupy.array([123, 123, 123], dtype=cupy.int64)
        fromstarts = cupy.array([0, 0, 0, 0, 0, 0, 0, 0], dtype=cupy.uint32)
        fromstops = cupy.array([1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.uint32)
        jaggedsize = 1
        length = 3
        funcC = cupy_backend['awkward_ListArray_getitem_jagged_expand', cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.uint32, cupy.uint32]
        funcC(multistarts, multistops, singleoffsets, tocarry, fromstarts, fromstops, jaggedsize, length)
    
        try:
            ak_cu.synchronize_cuda()
        except:
>           pytest.fail("This test case shouldn't have raised an error")
E           Failed: This test case shouldn't have raised an error

fromstarts = array([0, 0, 0, 0, 0, 0, 0, 0], dtype=uint32)
fromstops  = array([1, 1, 1, 1, 1, 1, 1, 1], dtype=uint32)
funcC      = <CupyKernel awkward_ListArray_getitem_jagged_expand, int64, int64, int64, int64, uint32, uint32>
jaggedsize = 1
length     = 3
multistarts = array([1, 1, 1])
multistops = array([1, 1, 1])
singleoffsets = array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
tocarry    = array([0, 0, 0])

tests-cuda-kernels/test_cudaawkward_ListArrayU32_getitem_jagged_expand_64.py:35: Failed
__________ test_cuda_awkward_ListArrayU32_getitem_jagged_expand_64_2 ___________

    def test_cuda_awkward_ListArrayU32_getitem_jagged_expand_64_2():
        multistarts = cupy.array([123, 123, 123], dtype=cupy.int64)
        multistops = cupy.array([123, 123, 123], dtype=cupy.int64)
        singleoffsets = cupy.array([2, 3, 3, 4, 5, 5, 5, 5, 5, 6, 7, 8, 10, 11], dtype=cupy.int64)
        tocarry = cupy.array([123, 123, 123], dtype=cupy.int64)
        fromstarts = cupy.array([0, 0, 0, 0, 0, 0, 0, 0], dtype=cupy.uint32)
        fromstops = cupy.array([1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.uint32)
        jaggedsize = 1
        length = 3
        funcC = cupy_backend['awkward_ListArray_getitem_jagged_expand', cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.uint32, cupy.uint32]
        funcC(multistarts, multistops, singleoffsets, tocarry, fromstarts, fromstops, jaggedsize, length)
    
        try:
>           ak_cu.synchronize_cuda()

fromstarts = array([0, 0, 0, 0, 0, 0, 0, 0], dtype=uint32)
fromstops  = array([1, 1, 1, 1, 1, 1, 1, 1], dtype=uint32)
funcC      = <CupyKernel awkward_ListArray_getitem_jagged_expand, int64, int64, int64, int64, uint32, uint32>
jaggedsize = 1
length     = 3
multistarts = array([2, 2, 2])
multistops = array([3, 3, 3])
singleoffsets = array([ 2,  3,  3,  4,  5,  5,  5,  5,  5,  6,  7,  8, 10, 11])
tocarry    = array([0, 0, 0])

tests-cuda-kernels/test_cudaawkward_ListArrayU32_getitem_jagged_expand_64.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

stream = <Stream 0 (device -1)>

    def synchronize_cuda(stream=None):
        cupy = import_cupy("Awkward Arrays with CUDA")
    
        if stream is None:
            stream = cupy.cuda.get_current_stream()
    
        stream.synchronize()
    
        invocation_index = cuda_streamptr_to_contexts[stream.ptr][0].get().tolist()
        contexts = cuda_streamptr_to_contexts[stream.ptr][1]
    
        if invocation_index != NO_ERROR:
            invoked_kernel = contexts[int(invocation_index // math.pow(2, ERROR_BITS))]
            cuda_streamptr_to_contexts[stream.ptr] = (
                cupy.array(NO_ERROR),
                [],
            )
>           raise invoked_kernel.error_context.decorate_exception(
                ValueError,
                ValueError(
                    f"{kernel_errors[invoked_kernel.name][int(invocation_index % math.pow(2, ERROR_BITS))]} in compiled CUDA code ({invoked_kernel.name})"
                ),
            )
E           AttributeError: 'NoneType' object has no attribute 'decorate_exception'

contexts   = [<awkward._connect.cuda.Invocation object at 0x7f7ebdfd6700>]
cupy       = <module 'cupy' from '/opt/build-venv/lib/python3.8/site-packages/cupy/__init__.py'>
invocation_index = 0
invoked_kernel = <awkward._connect.cuda.Invocation object at 0x7f7ebdfd6700>
stream     = <Stream 0 (device -1)>

/opt/build-venv/lib/python3.8/site-packages/awkward/_connect/cuda/__init__.py:215: AttributeError

During handling of the above exception, another exception occurred:

    def test_cuda_awkward_ListArrayU32_getitem_jagged_expand_64_2():
        multistarts = cupy.array([123, 123, 123], dtype=cupy.int64)
        multistops = cupy.array([123, 123, 123], dtype=cupy.int64)
        singleoffsets = cupy.array([2, 3, 3, 4, 5, 5, 5, 5, 5, 6, 7, 8, 10, 11], dtype=cupy.int64)
        tocarry = cupy.array([123, 123, 123], dtype=cupy.int64)
        fromstarts = cupy.array([0, 0, 0, 0, 0, 0, 0, 0], dtype=cupy.uint32)
        fromstops = cupy.array([1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.uint32)
        jaggedsize = 1
        length = 3
        funcC = cupy_backend['awkward_ListArray_getitem_jagged_expand', cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.uint32, cupy.uint32]
        funcC(multistarts, multistops, singleoffsets, tocarry, fromstarts, fromstops, jaggedsize, length)
    
        try:
            ak_cu.synchronize_cuda()
        except:
>           pytest.fail("This test case shouldn't have raised an error")
E           Failed: This test case shouldn't have raised an error

fromstarts = array([0, 0, 0, 0, 0, 0, 0, 0], dtype=uint32)
fromstops  = array([1, 1, 1, 1, 1, 1, 1, 1], dtype=uint32)
funcC      = <CupyKernel awkward_ListArray_getitem_jagged_expand, int64, int64, int64, int64, uint32, uint32>
jaggedsize = 1
length     = 3
multistarts = array([2, 2, 2])
multistops = array([3, 3, 3])
singleoffsets = array([ 2,  3,  3,  4,  5,  5,  5,  5,  5,  6,  7,  8, 10, 11])
tocarry    = array([0, 0, 0])

tests-cuda-kernels/test_cudaawkward_ListArrayU32_getitem_jagged_expand_64.py:58: Failed
__________ test_cuda_awkward_ListArrayU32_getitem_jagged_expand_64_3 ___________

    def test_cuda_awkward_ListArrayU32_getitem_jagged_expand_64_3():
        multistarts = cupy.array([123, 123, 123], dtype=cupy.int64)
        multistops = cupy.array([123, 123, 123], dtype=cupy.int64)
        singleoffsets = cupy.array([2, 1, 0, 1, 2, 0, 1, 2, 2, 2, 1, 2, 1, 0, 0, 0, 0], dtype=cupy.int64)
        tocarry = cupy.array([123, 123, 123], dtype=cupy.int64)
        fromstarts = cupy.array([0, 0, 0, 0, 0, 0, 0, 0], dtype=cupy.uint32)
        fromstops = cupy.array([1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.uint32)
        jaggedsize = 1
        length = 3
        funcC = cupy_backend['awkward_ListArray_getitem_jagged_expand', cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.uint32, cupy.uint32]
        funcC(multistarts, multistops, singleoffsets, tocarry, fromstarts, fromstops, jaggedsize, length)
    
        try:
>           ak_cu.synchronize_cuda()

fromstarts = array([0, 0, 0, 0, 0, 0, 0, 0], dtype=uint32)
fromstops  = array([1, 1, 1, 1, 1, 1, 1, 1], dtype=uint32)
funcC      = <CupyKernel awkward_ListArray_getitem_jagged_expand, int64, int64, int64, int64, uint32, uint32>
jaggedsize = 1
length     = 3
multistarts = array([2, 2, 2])
multistops = array([1, 1, 1])
singleoffsets = array([2, 1, 0, 1, 2, 0, 1, 2, 2, 2, 1, 2, 1, 0, 0, 0, 0])
tocarry    = array([0, 0, 0])

tests-cuda-kernels/test_cudaawkward_ListArrayU32_getitem_jagged_expand_64.py:79: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

stream = <Stream 0 (device -1)>

    def synchronize_cuda(stream=None):
        cupy = import_cupy("Awkward Arrays with CUDA")
    
        if stream is None:
            stream = cupy.cuda.get_current_stream()
    
        stream.synchronize()
    
        invocation_index = cuda_streamptr_to_contexts[stream.ptr][0].get().tolist()
        contexts = cuda_streamptr_to_contexts[stream.ptr][1]
    
        if invocation_index != NO_ERROR:
            invoked_kernel = contexts[int(invocation_index // math.pow(2, ERROR_BITS))]
            cuda_streamptr_to_contexts[stream.ptr] = (
                cupy.array(NO_ERROR),
                [],
            )
>           raise invoked_kernel.error_context.decorate_exception(
                ValueError,
                ValueError(
                    f"{kernel_errors[invoked_kernel.name][int(invocation_index % math.pow(2, ERROR_BITS))]} in compiled CUDA code ({invoked_kernel.name})"
                ),
            )
E           AttributeError: 'NoneType' object has no attribute 'decorate_exception'

contexts   = [<awkward._connect.cuda.Invocation object at 0x7f7ebdd34130>]
cupy       = <module 'cupy' from '/opt/build-venv/lib/python3.8/site-packages/cupy/__init__.py'>
invocation_index = 1
invoked_kernel = <awkward._connect.cuda.Invocation object at 0x7f7ebdd34130>
stream     = <Stream 0 (device -1)>

/opt/build-venv/lib/python3.8/site-packages/awkward/_connect/cuda/__init__.py:215: AttributeError

During handling of the above exception, another exception occurred:

    def test_cuda_awkward_ListArrayU32_getitem_jagged_expand_64_3():
        multistarts = cupy.array([123, 123, 123], dtype=cupy.int64)
        multistops = cupy.array([123, 123, 123], dtype=cupy.int64)
        singleoffsets = cupy.array([2, 1, 0, 1, 2, 0, 1, 2, 2, 2, 1, 2, 1, 0, 0, 0, 0], dtype=cupy.int64)
        tocarry = cupy.array([123, 123, 123], dtype=cupy.int64)
        fromstarts = cupy.array([0, 0, 0, 0, 0, 0, 0, 0], dtype=cupy.uint32)
        fromstops = cupy.array([1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.uint32)
        jaggedsize = 1
        length = 3
        funcC = cupy_backend['awkward_ListArray_getitem_jagged_expand', cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.uint32, cupy.uint32]
        funcC(multistarts, multistops, singleoffsets, tocarry, fromstarts, fromstops, jaggedsize, length)
    
        try:
            ak_cu.synchronize_cuda()
        except:
>           pytest.fail("This test case shouldn't have raised an error")
E           Failed: This test case shouldn't have raised an error

fromstarts = array([0, 0, 0, 0, 0, 0, 0, 0], dtype=uint32)
fromstops  = array([1, 1, 1, 1, 1, 1, 1, 1], dtype=uint32)
funcC      = <CupyKernel awkward_ListArray_getitem_jagged_expand, int64, int64, int64, int64, uint32, uint32>
jaggedsize = 1
length     = 3
multistarts = array([2, 2, 2])
multistops = array([1, 1, 1])
singleoffsets = array([2, 1, 0, 1, 2, 0, 1, 2, 2, 2, 1, 2, 1, 0, 0, 0, 0])
tocarry    = array([0, 0, 0])

tests-cuda-kernels/test_cudaawkward_ListArrayU32_getitem_jagged_expand_64.py:81: Failed
__________ test_cuda_awkward_ListArrayU32_getitem_jagged_expand_64_4 ___________

    def test_cuda_awkward_ListArrayU32_getitem_jagged_expand_64_4():
        multistarts = cupy.array([123, 123, 123], dtype=cupy.int64)
        multistops = cupy.array([123, 123, 123], dtype=cupy.int64)
        singleoffsets = cupy.array([1, 0, 2, 3, 1, 2, 0, 0, 1, 1, 2, 3, 1, 2, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.int64)
        tocarry = cupy.array([123, 123, 123], dtype=cupy.int64)
        fromstarts = cupy.array([0, 0, 0, 0, 0, 0, 0, 0], dtype=cupy.uint32)
        fromstops = cupy.array([1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.uint32)
        jaggedsize = 1
        length = 3
        funcC = cupy_backend['awkward_ListArray_getitem_jagged_expand', cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.uint32, cupy.uint32]
        funcC(multistarts, multistops, singleoffsets, tocarry, fromstarts, fromstops, jaggedsize, length)
    
        try:
>           ak_cu.synchronize_cuda()

fromstarts = array([0, 0, 0, 0, 0, 0, 0, 0], dtype=uint32)
fromstops  = array([1, 1, 1, 1, 1, 1, 1, 1], dtype=uint32)
funcC      = <CupyKernel awkward_ListArray_getitem_jagged_expand, int64, int64, int64, int64, uint32, uint32>
jaggedsize = 1
length     = 3
multistarts = array([1, 1, 1])
multistops = array([0, 0, 0])
singleoffsets = array([1, 0, 2, 3, 1, 2, 0, 0, 1, 1, 2, 3, 1, 2, 3, 1, 1, 1, 1, 1, 1, 1,
       1, 1, 1])
tocarry    = array([0, 0, 0])

tests-cuda-kernels/test_cudaawkward_ListArrayU32_getitem_jagged_expand_64.py:102: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

stream = <Stream 0 (device -1)>

    def synchronize_cuda(stream=None):
        cupy = import_cupy("Awkward Arrays with CUDA")
    
        if stream is None:
            stream = cupy.cuda.get_current_stream()
    
        stream.synchronize()
    
        invocation_index = cuda_streamptr_to_contexts[stream.ptr][0].get().tolist()
        contexts = cuda_streamptr_to_contexts[stream.ptr][1]
    
        if invocation_index != NO_ERROR:
            invoked_kernel = contexts[int(invocation_index // math.pow(2, ERROR_BITS))]
            cuda_streamptr_to_contexts[stream.ptr] = (
                cupy.array(NO_ERROR),
                [],
            )
>           raise invoked_kernel.error_context.decorate_exception(
                ValueError,
                ValueError(
                    f"{kernel_errors[invoked_kernel.name][int(invocation_index % math.pow(2, ERROR_BITS))]} in compiled CUDA code ({invoked_kernel.name})"
                ),
            )
E           AttributeError: 'NoneType' object has no attribute 'decorate_exception'

contexts   = [<awkward._connect.cuda.Invocation object at 0x7f7ebdc48580>]
cupy       = <module 'cupy' from '/opt/build-venv/lib/python3.8/site-packages/cupy/__init__.py'>
invocation_index = 0
invoked_kernel = <awkward._connect.cuda.Invocation object at 0x7f7ebdc48580>
stream     = <Stream 0 (device -1)>

/opt/build-venv/lib/python3.8/site-packages/awkward/_connect/cuda/__init__.py:215: AttributeError

During handling of the above exception, another exception occurred:

    def test_cuda_awkward_ListArrayU32_getitem_jagged_expand_64_4():
        multistarts = cupy.array([123, 123, 123], dtype=cupy.int64)
        multistops = cupy.array([123, 123, 123], dtype=cupy.int64)
        singleoffsets = cupy.array([1, 0, 2, 3, 1, 2, 0, 0, 1, 1, 2, 3, 1, 2, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.int64)
        tocarry = cupy.array([123, 123, 123], dtype=cupy.int64)
        fromstarts = cupy.array([0, 0, 0, 0, 0, 0, 0, 0], dtype=cupy.uint32)
        fromstops = cupy.array([1, 1, 1, 1, 1, 1, 1, 1], dtype=cupy.uint32)
        jaggedsize = 1
        length = 3
        funcC = cupy_backend['awkward_ListArray_getitem_jagged_expand', cupy.int64, cupy.int64, cupy.int64, cupy.int64, cupy.uint32, cupy.uint32]
        funcC(multistarts, multistops, singleoffsets, tocarry, fromstarts, fromstops, jaggedsize, length)
    
        try:
            ak_cu.synchronize_cuda()
        except:
>           pytest.fail("This test case shouldn't have raised an error")
E           Failed: This test case shouldn't have raised an error

fromstarts = array([0, 0, 0, 0, 0, 0, 0, 0], dtype=uint32)
fromstops  = array([1, 1, 1, 1, 1, 1, 1, 1], dtype=uint32)
funcC      = <CupyKernel awkward_ListArray_getitem_jagged_expand, int64, int64, int64, int64, uint32, uint32>
jaggedsize = 1
length     = 3
multistarts = array([1, 1, 1])
multistops = array([0, 0, 0])
singleoffsets = array([1, 0, 2, 3, 1, 2, 0, 0, 1, 1, 2, 3, 1, 2, 3, 1, 1, 1, 1, 1, 1, 1,
       1, 1, 1])
tocarry    = array([0, 0, 0])

tests-cuda-kernels/test_cudaawkward_ListArrayU32_getitem_jagged_expand_64.py:104: Failed
=========================== short test summary info ============================
SKIPPED [1] tests-cuda/test_1276_cuda_num.py:14: too old Numba version
SKIPPED [1] tests-cuda/test_1276_cuda_transfers.py:14: too old Numba version
SKIPPED [1] tests-cuda/test_1276_cupy_interop.py:16: too old Numba version
SKIPPED [1] tests-cuda/test_1276_from_cupy.py:14: too old Numba version
SKIPPED [1] tests-cuda/test_1300_same_for_numba_cuda.py:10: could not import 'numba': No module named 'numba'
SKIPPED [1] tests-cuda/test_1381_check_errors.py:17: too old Numba version
SKIPPED [1] tests-cuda/test_1809_array_cuda_jit.py:10: could not import 'numba': No module named 'numba'
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_ByteMaskedArray_reduce_next_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_ByteMaskedArray_reduce_next_nonlocal_nextshifts_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_IndexedArray32_overlay_mask8_to64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_IndexedArray32_reduce_next_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_IndexedArray32_reduce_next_nonlocal_nextshifts_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_IndexedArray32_reduce_next_nonlocal_nextshifts_fromshifts_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_IndexedArray64_overlay_mask8_to64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_IndexedArray64_reduce_next_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_IndexedArray64_reduce_next_nonlocal_nextshifts_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_IndexedArray64_reduce_next_nonlocal_nextshifts_fromshifts_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_IndexedArrayU32_overlay_mask8_to64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_IndexedArrayU32_reduce_next_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_IndexedArrayU32_reduce_next_nonlocal_nextshifts_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_IndexedArrayU32_reduce_next_nonlocal_nextshifts_fromshifts_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_IndexedArray_reduce_next_fix_offsets_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_ListOffsetArray32_rpad_and_clip_axis1_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_ListOffsetArray64_rpad_and_clip_axis1_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_ListOffsetArrayU32_rpad_and_clip_axis1_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_NumpyArray_reduce_adjust_starts_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_NumpyArray_reduce_adjust_starts_shifts_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_NumpyArray_reduce_mask_ByteMaskedArray_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_argmax_float32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_argmax_float64_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_argmax_int16_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_argmax_int32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_argmax_int64_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_argmax_int8_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_argmax_uint16_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_argmax_uint32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_argmax_uint64_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_argmax_uint8_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_argmin_float32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_argmin_float64_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_argmin_int16_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_argmin_int32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_argmin_int64_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_argmin_int8_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_argmin_uint16_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_argmin_uint32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_argmin_uint64_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_argmin_uint8_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_count_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_countnonzero_bool_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_countnonzero_float32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_countnonzero_float64_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_countnonzero_int16_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_countnonzero_int32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_countnonzero_int64_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_countnonzero_int8_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_countnonzero_uint16_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_countnonzero_uint32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_countnonzero_uint64_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_countnonzero_uint8_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_max_float32_float32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_max_float64_float64_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_max_int16_int16_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_max_int32_int32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_max_int64_int64_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_max_int8_int8_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_max_uint16_uint16_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_max_uint32_uint32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_max_uint64_uint64_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_max_uint8_uint8_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_min_float32_float32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_min_float64_float64_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_min_int16_int16_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_min_int32_int32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_min_int64_int64_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_min_int8_int8_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_min_uint16_uint16_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_min_uint32_uint32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_min_uint64_uint64_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_min_uint8_uint8_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_prod_bool_bool_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_prod_bool_float32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_prod_bool_float64_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_prod_bool_int16_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_prod_bool_int32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_prod_bool_int64_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_prod_bool_int8_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_prod_bool_uint16_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_prod_bool_uint32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_prod_bool_uint64_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_prod_bool_uint8_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_bool_bool_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_bool_float32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_bool_float64_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_bool_int16_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_bool_int32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_bool_int64_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_bool_int8_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_bool_uint16_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_bool_uint32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_bool_uint64_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_bool_uint8_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_float32_float32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_float64_float64_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_int32_bool_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_int32_int16_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_int32_int32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_int32_int8_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_int64_bool_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_int64_int16_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_int64_int32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_int64_int64_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_int64_int8_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_uint32_uint16_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_uint32_uint32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_uint32_uint8_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_uint64_uint16_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_uint64_uint32_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_uint64_uint64_64.py:20: Unable to generate any tests for kernel
SKIPPED [1] tests-cuda-kernels/test_cudaawkward_reduce_sum_uint64_uint8_64.py:20: Unable to generate any tests for kernel
================ 15 failed, 1214 passed, 120 skipped in 16.13s =================
@ManasviGoyal
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These have been fixed by #2886

@ManasviGoyal ManasviGoyal mentioned this issue Dec 11, 2023
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@agoose77
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Fab!

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@agoose77 @ManasviGoyal