[Python][CI] test-cuda-python fails, requires cuda-toolkit v11.2 #38059

Description

@danepitkin

Describe the bug, including details regarding any error messages, version, and platform.

test-cuda-python fails with

_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:539: in __call__
return self.dispatcher.call(args, self.griddim, self.blockdim,
usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:673: in call
kernel = _dispatcher.Dispatcher._cuda_call(self, *args)
usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:681: in _compile_for_args
return self.compile(tuple(argtypes))
usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:924: in compile
kernel = _Kernel(self.py_func, argtypes, **self.targetoptions)
usr/local/lib/python3.8/dist-packages/numba/core/compiler_lock.py:35: in _acquire_compile_lock
return func(*args, **kwargs)
usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:103: in __init__
self.cooperative = 'cudaCGGetIntrinsicHandle' in lib.get_asm_str()
usr/local/lib/python3.8/dist-packages/numba/cuda/codegen.py:119: in get_asm_str
return self._join_ptxes(self._get_ptxes(cc=cc))
usr/local/lib/python3.8/dist-packages/numba/cuda/codegen.py:131: in _get_ptxes
arch = nvvm.get_arch_option(*cc)
usr/local/lib/python3.8/dist-packages/numba/cuda/cudadrv/nvvm.py:439: in get_arch_option
arch = find_closest_arch((major, minor))
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ mycc = (7, 5)
def find_closest_arch(mycc):
"""
Given a compute capability, return the closest compute capability supported
by the CUDA toolkit.
:param mycc: Compute capability as a tuple ``(MAJOR, MINOR)``
:return: Closest supported CC as a tuple ``(MAJOR, MINOR)``
"""
supported_ccs = NVVM().supported_ccs
if not supported_ccs:
msg = "No supported GPU compute capabilities found. " \
"Please check your cudatoolkit version matches your CUDA version."
> raise NvvmSupportError(msg)
E numba.cuda.cudadrv.error.NvvmSupportError: No supported GPU compute capabilities found. Please check your cudatoolkit version matches your CUDA version.
usr/local/lib/python3.8/dist-packages/numba/cuda/cudadrv/nvvm.py:412: NvvmSupportError
=============================== warnings summary ===============================
usr/local/lib/python3.8/dist-packages/pyarrow/tests/test_cuda_numba_interop.py: 19 warnings
/usr/local/lib/python3.8/dist-packages/numba/cuda/cudadrv/nvvm.py:392: UserWarning: CUDA Toolkit 11.0 is unsupported by Numba - 11.2 is the minimum required version.

https://github.com/ursacomputing/crossbow/actions/runs/6319788893/job/17161299196

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    , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
     blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
    }
    } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
    })();
    (function(){
    try {
    var __m = "github.com";
    var __re = new RegExp('^' + "github\\.com" + '
    
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    [Python][CI] test-cuda-python fails, requires cuda-toolkit v11.2 #38059

    Description

    @danepitkin

    Describe the bug, including details regarding any error messages, version, and platform.

    test-cuda-python fails with

    _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:539: in __call__
    return self.dispatcher.call(args, self.griddim, self.blockdim,
    usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:673: in call
    kernel = _dispatcher.Dispatcher._cuda_call(self, *args)
    usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:681: in _compile_for_args
    return self.compile(tuple(argtypes))
    usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:924: in compile
    kernel = _Kernel(self.py_func, argtypes, **self.targetoptions)
    usr/local/lib/python3.8/dist-packages/numba/core/compiler_lock.py:35: in _acquire_compile_lock
    return func(*args, **kwargs)
    usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:103: in __init__
    self.cooperative = 'cudaCGGetIntrinsicHandle' in lib.get_asm_str()
    usr/local/lib/python3.8/dist-packages/numba/cuda/codegen.py:119: in get_asm_str
    return self._join_ptxes(self._get_ptxes(cc=cc))
    usr/local/lib/python3.8/dist-packages/numba/cuda/codegen.py:131: in _get_ptxes
    arch = nvvm.get_arch_option(*cc)
    usr/local/lib/python3.8/dist-packages/numba/cuda/cudadrv/nvvm.py:439: in get_arch_option
    arch = find_closest_arch((major, minor))
    _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ mycc = (7, 5)
    def find_closest_arch(mycc):
    """
    Given a compute capability, return the closest compute capability supported
    by the CUDA toolkit.
    :param mycc: Compute capability as a tuple ``(MAJOR, MINOR)``
    :return: Closest supported CC as a tuple ``(MAJOR, MINOR)``
    """
    supported_ccs = NVVM().supported_ccs
    if not supported_ccs:
    msg = "No supported GPU compute capabilities found. " \
    "Please check your cudatoolkit version matches your CUDA version."
    > raise NvvmSupportError(msg)
    E numba.cuda.cudadrv.error.NvvmSupportError: No supported GPU compute capabilities found. Please check your cudatoolkit version matches your CUDA version.
    usr/local/lib/python3.8/dist-packages/numba/cuda/cudadrv/nvvm.py:412: NvvmSupportError
    =============================== warnings summary ===============================
    usr/local/lib/python3.8/dist-packages/pyarrow/tests/test_cuda_numba_interop.py: 19 warnings
    /usr/local/lib/python3.8/dist-packages/numba/cuda/cudadrv/nvvm.py:392: UserWarning: CUDA Toolkit 11.0 is unsupported by Numba - 11.2 is the minimum required version.
    

    https://github.com/ursacomputing/crossbow/actions/runs/6319788893/job/17161299196

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      , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
      Skip to content

      [Python][CI] test-cuda-python fails, requires cuda-toolkit v11.2 #38059

      Description

      @danepitkin

      Describe the bug, including details regarding any error messages, version, and platform.

      test-cuda-python fails with

      _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:539: in __call__
      return self.dispatcher.call(args, self.griddim, self.blockdim,
      usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:673: in call
      kernel = _dispatcher.Dispatcher._cuda_call(self, *args)
      usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:681: in _compile_for_args
      return self.compile(tuple(argtypes))
      usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:924: in compile
      kernel = _Kernel(self.py_func, argtypes, **self.targetoptions)
      usr/local/lib/python3.8/dist-packages/numba/core/compiler_lock.py:35: in _acquire_compile_lock
      return func(*args, **kwargs)
      usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:103: in __init__
      self.cooperative = 'cudaCGGetIntrinsicHandle' in lib.get_asm_str()
      usr/local/lib/python3.8/dist-packages/numba/cuda/codegen.py:119: in get_asm_str
      return self._join_ptxes(self._get_ptxes(cc=cc))
      usr/local/lib/python3.8/dist-packages/numba/cuda/codegen.py:131: in _get_ptxes
      arch = nvvm.get_arch_option(*cc)
      usr/local/lib/python3.8/dist-packages/numba/cuda/cudadrv/nvvm.py:439: in get_arch_option
      arch = find_closest_arch((major, minor))
      _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ mycc = (7, 5)
      def find_closest_arch(mycc):
      """
      Given a compute capability, return the closest compute capability supported
      by the CUDA toolkit.
      :param mycc: Compute capability as a tuple ``(MAJOR, MINOR)``
      :return: Closest supported CC as a tuple ``(MAJOR, MINOR)``
      """
      supported_ccs = NVVM().supported_ccs
      if not supported_ccs:
      msg = "No supported GPU compute capabilities found. " \
      "Please check your cudatoolkit version matches your CUDA version."
      > raise NvvmSupportError(msg)
      E numba.cuda.cudadrv.error.NvvmSupportError: No supported GPU compute capabilities found. Please check your cudatoolkit version matches your CUDA version.
      usr/local/lib/python3.8/dist-packages/numba/cuda/cudadrv/nvvm.py:412: NvvmSupportError
      =============================== warnings summary ===============================
      usr/local/lib/python3.8/dist-packages/pyarrow/tests/test_cuda_numba_interop.py: 19 warnings
      /usr/local/lib/python3.8/dist-packages/numba/cuda/cudadrv/nvvm.py:392: UserWarning: CUDA Toolkit 11.0 is unsupported by Numba - 11.2 is the minimum required version.
      

      https://github.com/ursacomputing/crossbow/actions/runs/6319788893/job/17161299196

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        , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
        Skip to content

        [Python][CI] test-cuda-python fails, requires cuda-toolkit v11.2 #38059

        Description

        @danepitkin

        Describe the bug, including details regarding any error messages, version, and platform.

        test-cuda-python fails with

        _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:539: in __call__
        return self.dispatcher.call(args, self.griddim, self.blockdim,
        usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:673: in call
        kernel = _dispatcher.Dispatcher._cuda_call(self, *args)
        usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:681: in _compile_for_args
        return self.compile(tuple(argtypes))
        usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:924: in compile
        kernel = _Kernel(self.py_func, argtypes, **self.targetoptions)
        usr/local/lib/python3.8/dist-packages/numba/core/compiler_lock.py:35: in _acquire_compile_lock
        return func(*args, **kwargs)
        usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:103: in __init__
        self.cooperative = 'cudaCGGetIntrinsicHandle' in lib.get_asm_str()
        usr/local/lib/python3.8/dist-packages/numba/cuda/codegen.py:119: in get_asm_str
        return self._join_ptxes(self._get_ptxes(cc=cc))
        usr/local/lib/python3.8/dist-packages/numba/cuda/codegen.py:131: in _get_ptxes
        arch = nvvm.get_arch_option(*cc)
        usr/local/lib/python3.8/dist-packages/numba/cuda/cudadrv/nvvm.py:439: in get_arch_option
        arch = find_closest_arch((major, minor))
        _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ mycc = (7, 5)
        def find_closest_arch(mycc):
        """
        Given a compute capability, return the closest compute capability supported
        by the CUDA toolkit.
        :param mycc: Compute capability as a tuple ``(MAJOR, MINOR)``
        :return: Closest supported CC as a tuple ``(MAJOR, MINOR)``
        """
        supported_ccs = NVVM().supported_ccs
        if not supported_ccs:
        msg = "No supported GPU compute capabilities found. " \
        "Please check your cudatoolkit version matches your CUDA version."
        > raise NvvmSupportError(msg)
        E numba.cuda.cudadrv.error.NvvmSupportError: No supported GPU compute capabilities found. Please check your cudatoolkit version matches your CUDA version.
        usr/local/lib/python3.8/dist-packages/numba/cuda/cudadrv/nvvm.py:412: NvvmSupportError
        =============================== warnings summary ===============================
        usr/local/lib/python3.8/dist-packages/pyarrow/tests/test_cuda_numba_interop.py: 19 warnings
        /usr/local/lib/python3.8/dist-packages/numba/cuda/cudadrv/nvvm.py:392: UserWarning: CUDA Toolkit 11.0 is unsupported by Numba - 11.2 is the minimum required version.
        

        https://github.com/ursacomputing/crossbow/actions/runs/6319788893/job/17161299196

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          , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
          Skip to content

          [Python][CI] test-cuda-python fails, requires cuda-toolkit v11.2 #38059

          Description

          @danepitkin

          Describe the bug, including details regarding any error messages, version, and platform.

          test-cuda-python fails with

          _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:539: in __call__
          return self.dispatcher.call(args, self.griddim, self.blockdim,
          usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:673: in call
          kernel = _dispatcher.Dispatcher._cuda_call(self, *args)
          usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:681: in _compile_for_args
          return self.compile(tuple(argtypes))
          usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:924: in compile
          kernel = _Kernel(self.py_func, argtypes, **self.targetoptions)
          usr/local/lib/python3.8/dist-packages/numba/core/compiler_lock.py:35: in _acquire_compile_lock
          return func(*args, **kwargs)
          usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:103: in __init__
          self.cooperative = 'cudaCGGetIntrinsicHandle' in lib.get_asm_str()
          usr/local/lib/python3.8/dist-packages/numba/cuda/codegen.py:119: in get_asm_str
          return self._join_ptxes(self._get_ptxes(cc=cc))
          usr/local/lib/python3.8/dist-packages/numba/cuda/codegen.py:131: in _get_ptxes
          arch = nvvm.get_arch_option(*cc)
          usr/local/lib/python3.8/dist-packages/numba/cuda/cudadrv/nvvm.py:439: in get_arch_option
          arch = find_closest_arch((major, minor))
          _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ mycc = (7, 5)
          def find_closest_arch(mycc):
          """
          Given a compute capability, return the closest compute capability supported
          by the CUDA toolkit.
          :param mycc: Compute capability as a tuple ``(MAJOR, MINOR)``
          :return: Closest supported CC as a tuple ``(MAJOR, MINOR)``
          """
          supported_ccs = NVVM().supported_ccs
          if not supported_ccs:
          msg = "No supported GPU compute capabilities found. " \
          "Please check your cudatoolkit version matches your CUDA version."
          > raise NvvmSupportError(msg)
          E numba.cuda.cudadrv.error.NvvmSupportError: No supported GPU compute capabilities found. Please check your cudatoolkit version matches your CUDA version.
          usr/local/lib/python3.8/dist-packages/numba/cuda/cudadrv/nvvm.py:412: NvvmSupportError
          =============================== warnings summary ===============================
          usr/local/lib/python3.8/dist-packages/pyarrow/tests/test_cuda_numba_interop.py: 19 warnings
          /usr/local/lib/python3.8/dist-packages/numba/cuda/cudadrv/nvvm.py:392: UserWarning: CUDA Toolkit 11.0 is unsupported by Numba - 11.2 is the minimum required version.
          

          https://github.com/ursacomputing/crossbow/actions/runs/6319788893/job/17161299196

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            No branches or pull requests

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            , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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            [Python][CI] test-cuda-python fails, requires cuda-toolkit v11.2 #38059

            Description

            @danepitkin

            Describe the bug, including details regarding any error messages, version, and platform.

            test-cuda-python fails with

            _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:539: in __call__
            return self.dispatcher.call(args, self.griddim, self.blockdim,
            usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:673: in call
            kernel = _dispatcher.Dispatcher._cuda_call(self, *args)
            usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:681: in _compile_for_args
            return self.compile(tuple(argtypes))
            usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:924: in compile
            kernel = _Kernel(self.py_func, argtypes, **self.targetoptions)
            usr/local/lib/python3.8/dist-packages/numba/core/compiler_lock.py:35: in _acquire_compile_lock
            return func(*args, **kwargs)
            usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:103: in __init__
            self.cooperative = 'cudaCGGetIntrinsicHandle' in lib.get_asm_str()
            usr/local/lib/python3.8/dist-packages/numba/cuda/codegen.py:119: in get_asm_str
            return self._join_ptxes(self._get_ptxes(cc=cc))
            usr/local/lib/python3.8/dist-packages/numba/cuda/codegen.py:131: in _get_ptxes
            arch = nvvm.get_arch_option(*cc)
            usr/local/lib/python3.8/dist-packages/numba/cuda/cudadrv/nvvm.py:439: in get_arch_option
            arch = find_closest_arch((major, minor))
            _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ mycc = (7, 5)
            def find_closest_arch(mycc):
            """
            Given a compute capability, return the closest compute capability supported
            by the CUDA toolkit.
            :param mycc: Compute capability as a tuple ``(MAJOR, MINOR)``
            :return: Closest supported CC as a tuple ``(MAJOR, MINOR)``
            """
            supported_ccs = NVVM().supported_ccs
            if not supported_ccs:
            msg = "No supported GPU compute capabilities found. " \
            "Please check your cudatoolkit version matches your CUDA version."
            > raise NvvmSupportError(msg)
            E numba.cuda.cudadrv.error.NvvmSupportError: No supported GPU compute capabilities found. Please check your cudatoolkit version matches your CUDA version.
            usr/local/lib/python3.8/dist-packages/numba/cuda/cudadrv/nvvm.py:412: NvvmSupportError
            =============================== warnings summary ===============================
            usr/local/lib/python3.8/dist-packages/pyarrow/tests/test_cuda_numba_interop.py: 19 warnings
            /usr/local/lib/python3.8/dist-packages/numba/cuda/cudadrv/nvvm.py:392: UserWarning: CUDA Toolkit 11.0 is unsupported by Numba - 11.2 is the minimum required version.
            

            https://github.com/ursacomputing/crossbow/actions/runs/6319788893/job/17161299196

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              , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
              Skip to content

              [Python][CI] test-cuda-python fails, requires cuda-toolkit v11.2 #38059

              Description

              @danepitkin

              Describe the bug, including details regarding any error messages, version, and platform.

              test-cuda-python fails with

              _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:539: in __call__
              return self.dispatcher.call(args, self.griddim, self.blockdim,
              usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:673: in call
              kernel = _dispatcher.Dispatcher._cuda_call(self, *args)
              usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:681: in _compile_for_args
              return self.compile(tuple(argtypes))
              usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:924: in compile
              kernel = _Kernel(self.py_func, argtypes, **self.targetoptions)
              usr/local/lib/python3.8/dist-packages/numba/core/compiler_lock.py:35: in _acquire_compile_lock
              return func(*args, **kwargs)
              usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:103: in __init__
              self.cooperative = 'cudaCGGetIntrinsicHandle' in lib.get_asm_str()
              usr/local/lib/python3.8/dist-packages/numba/cuda/codegen.py:119: in get_asm_str
              return self._join_ptxes(self._get_ptxes(cc=cc))
              usr/local/lib/python3.8/dist-packages/numba/cuda/codegen.py:131: in _get_ptxes
              arch = nvvm.get_arch_option(*cc)
              usr/local/lib/python3.8/dist-packages/numba/cuda/cudadrv/nvvm.py:439: in get_arch_option
              arch = find_closest_arch((major, minor))
              _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ mycc = (7, 5)
              def find_closest_arch(mycc):
              """
              Given a compute capability, return the closest compute capability supported
              by the CUDA toolkit.
              :param mycc: Compute capability as a tuple ``(MAJOR, MINOR)``
              :return: Closest supported CC as a tuple ``(MAJOR, MINOR)``
              """
              supported_ccs = NVVM().supported_ccs
              if not supported_ccs:
              msg = "No supported GPU compute capabilities found. " \
              "Please check your cudatoolkit version matches your CUDA version."
              > raise NvvmSupportError(msg)
              E numba.cuda.cudadrv.error.NvvmSupportError: No supported GPU compute capabilities found. Please check your cudatoolkit version matches your CUDA version.
              usr/local/lib/python3.8/dist-packages/numba/cuda/cudadrv/nvvm.py:412: NvvmSupportError
              =============================== warnings summary ===============================
              usr/local/lib/python3.8/dist-packages/pyarrow/tests/test_cuda_numba_interop.py: 19 warnings
              /usr/local/lib/python3.8/dist-packages/numba/cuda/cudadrv/nvvm.py:392: UserWarning: CUDA Toolkit 11.0 is unsupported by Numba - 11.2 is the minimum required version.
              

              https://github.com/ursacomputing/crossbow/actions/runs/6319788893/job/17161299196

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                , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
                Skip to content

                [Python][CI] test-cuda-python fails, requires cuda-toolkit v11.2 #38059

                Description

                @danepitkin

                Describe the bug, including details regarding any error messages, version, and platform.

                test-cuda-python fails with

                _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:539: in __call__
                return self.dispatcher.call(args, self.griddim, self.blockdim,
                usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:673: in call
                kernel = _dispatcher.Dispatcher._cuda_call(self, *args)
                usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:681: in _compile_for_args
                return self.compile(tuple(argtypes))
                usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:924: in compile
                kernel = _Kernel(self.py_func, argtypes, **self.targetoptions)
                usr/local/lib/python3.8/dist-packages/numba/core/compiler_lock.py:35: in _acquire_compile_lock
                return func(*args, **kwargs)
                usr/local/lib/python3.8/dist-packages/numba/cuda/dispatcher.py:103: in __init__
                self.cooperative = 'cudaCGGetIntrinsicHandle' in lib.get_asm_str()
                usr/local/lib/python3.8/dist-packages/numba/cuda/codegen.py:119: in get_asm_str
                return self._join_ptxes(self._get_ptxes(cc=cc))
                usr/local/lib/python3.8/dist-packages/numba/cuda/codegen.py:131: in _get_ptxes
                arch = nvvm.get_arch_option(*cc)
                usr/local/lib/python3.8/dist-packages/numba/cuda/cudadrv/nvvm.py:439: in get_arch_option
                arch = find_closest_arch((major, minor))
                _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ mycc = (7, 5)
                def find_closest_arch(mycc):
                """
                Given a compute capability, return the closest compute capability supported
                by the CUDA toolkit.
                :param mycc: Compute capability as a tuple ``(MAJOR, MINOR)``
                :return: Closest supported CC as a tuple ``(MAJOR, MINOR)``
                """
                supported_ccs = NVVM().supported_ccs
                if not supported_ccs:
                msg = "No supported GPU compute capabilities found. " \
                "Please check your cudatoolkit version matches your CUDA version."
                > raise NvvmSupportError(msg)
                E numba.cuda.cudadrv.error.NvvmSupportError: No supported GPU compute capabilities found. Please check your cudatoolkit version matches your CUDA version.
                usr/local/lib/python3.8/dist-packages/numba/cuda/cudadrv/nvvm.py:412: NvvmSupportError
                =============================== warnings summary ===============================
                usr/local/lib/python3.8/dist-packages/pyarrow/tests/test_cuda_numba_interop.py: 19 warnings
                /usr/local/lib/python3.8/dist-packages/numba/cuda/cudadrv/nvvm.py:392: UserWarning: CUDA Toolkit 11.0 is unsupported by Numba - 11.2 is the minimum required version.
                

                https://github.com/ursacomputing/crossbow/actions/runs/6319788893/job/17161299196

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