# Buggy code
def _correlate_or_convolve(
    input, weights, output, mode, cval, origin, convolution=False
):
    origins, int_type = _filters_core._check_nd_args(input, weights, mode, origin)
    if weights.size == 0:
        return cupy.zeros_like(input)
    if convolution:
        weights = weights[tuple([slice(None, None, -1)] * weights.ndim)]
        origins = list(origins)
        for i, wsize in enumerate(weights.shape):
            origins[i] = -origins[i]
            if wsize % 2 == 0:
                origins[i] -= 1
        origins = tuple(origins)
    offsets = _filters_core._origins_to_offsets(origins, weights.shape)
    kernel = _get_correlate_kernel(mode, weights.shape, int_type, offsets, cval)
    return _filters_core._call_kernel(kernel, input, weights, output)


# Traceback (cupy_backends.cuda.libs.nvrtc.NVRTCError)
/home/croat/.local/share/virtualenvs/starmap-T47byR32/lib/python3.8/site-packages/cupyx/scipy/ndimage/interpolation.py:15: UserWarning: In the current feature the default order of shift is 1. It is different from scipy.ndimage and can change in the future.
warnings.warn('In the current feature the default order of {} is 1. '
Traceback (most recent call last):
File "/home/croat/.local/share/virtualenvs/starmap-T47byR32/lib/python3.8/site-packages/cupy/cuda/compiler.py", line 516, in compile
nvrtc.compileProgram(self.ptr, options)
File "cupy_backends/cuda/libs/nvrtc.pyx", line 108, in cupy_backends.cuda.libs.nvrtc.compileProgram
File "cupy_backends/cuda/libs/nvrtc.pyx", line 120, in cupy_backends.cuda.libs.nvrtc.compileProgram
File "cupy_backends/cuda/libs/nvrtc.pyx", line 58, in cupy_backends.cuda.libs.nvrtc.check_status
cupy_backends.cuda.libs.nvrtc.NVRTCError: NVRTC_ERROR_COMPILATION (6)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/croat/.local/share/virtualenvs/starmap-T47byR32/lib/python3.8/site-packages/cupyx/scipy/ndimage/interpolation.py", line 379, in shift
kern(input, shift, output)
File "cupy/core/_kernel.pyx", line 821, in cupy.core._kernel.ElementwiseKernel.__call__
File "cupy/core/_kernel.pyx", line 846, in cupy.core._kernel.ElementwiseKernel._get_elementwise_kernel
File "cupy/_util.pyx", line 103, in cupy._util.memoize.decorator.ret
File "cupy/core/_kernel.pyx", line 639, in cupy.core._kernel._get_elementwise_kernel
File "cupy/core/_kernel.pyx", line 37, in cupy.core._kernel._get_simple_elementwise_kernel
File "cupy/core/_kernel.pyx", line 60, in cupy.core._kernel._get_simple_elementwise_kernel
File "cupy/core/core.pyx", line 1937, in cupy.core.core.compile_with_cache
File "/home/croat/.local/share/virtualenvs/starmap-T47byR32/lib/python3.8/site-packages/cupy/cuda/compiler.py", line 335, in compile_with_cache
return _compile_with_cache_cuda(
File "/home/croat/.local/share/virtualenvs/starmap-T47byR32/lib/python3.8/site-packages/cupy/cuda/compiler.py", line 402, in _compile_with_cache_cuda
ptx, mapping = compile_using_nvrtc(
File "/home/croat/.local/share/virtualenvs/starmap-T47byR32/lib/python3.8/site-packages/cupy/cuda/compiler.py", line 173, in compile_using_nvrtc
return _compile(source, options, cu_path,
File "/home/croat/.local/share/virtualenvs/starmap-T47byR32/lib/python3.8/site-packages/cupy/cuda/compiler.py", line 157, in _compile
ptx, mapping = prog.compile(options, log_stream)
File "/home/croat/.local/share/virtualenvs/starmap-T47byR32/lib/python3.8/site-packages/cupy/cuda/compiler.py", line 527, in compile
raise CompileException(log, self.src, self.name, options,
cupy.cuda.compiler.CompileException: /tmp/tmpbp6idobr/064ead033e63783c4dfe62433771dbed_2.cubin.cu(28): error: invalid type conversion

/tmp/tmpbp6idobr/064ead033e63783c4dfe62433771dbed_2.cubin.cu(20): warning: variable "s" was declared but never referenced

/tmp/tmpbp6idobr/064ead033e63783c4dfe62433771dbed_2.cubin.cu(20): warning: variable "t" was declared but never referenced

1 error detected in the compilation of "/tmp/tmpbp6idobr/064ead033e63783c4dfe62433771dbed_2.cubin.cu".

# Fixed code
def _correlate_or_convolve(
    input, weights, output, mode, cval, origin, convolution=False
):
    origins, int_type = _filters_core._check_nd_args(input, weights, mode, origin)
    if weights.size == 0:
        return cupy.zeros_like(input)

    _util._check_cval(mode, cval, _util._is_integer_output(output, input))

    if convolution:
        weights = weights[tuple([slice(None, None, -1)] * weights.ndim)]
        origins = list(origins)
        for i, wsize in enumerate(weights.shape):
            origins[i] = -origins[i]
            if wsize % 2 == 0:
                origins[i] -= 1
        origins = tuple(origins)
    offsets = _filters_core._origins_to_offsets(origins, weights.shape)
    kernel = _get_correlate_kernel(mode, weights.shape, int_type, offsets, cval)
    output = _filters_core._call_kernel(kernel, input, weights, output)
    return output