QNN: mobilebert failed to generate Qnn context binary #7946

Description

@guangy10

🐛 Describe the bug

python -m examples.qualcomm.scripts.mobilebert_fine_tune -b cmake-out -m SM8450 --compile_only --use_fp16

stacktrace:


[ERROR] [Qnn ExecuTorch]: QnnDsp <E> Context binary size calculation failed
[ERROR] [Qnn ExecuTorch]: QnnDsp <E> Failed to get serialized binary
[ERROR] [Qnn ExecuTorch]: QnnDsp <E> Failed to get context binary size with err 0x7532
[ERROR] [Qnn ExecuTorch]: Can't determine the size of graph binary to be saved to cache. Error 30002
E 00:01:45.674883 executorch:QnnManager.cpp:484] Fail to get context binary.
Traceback (most recent call last):
File "/data/users/guangyang/executorch/examples/qualcomm/scripts/mobilebert_fine_tune.py", line 399, in <module>
main(args)
File "/data/users/guangyang/executorch/examples/qualcomm/scripts/mobilebert_fine_tune.py", line 270, in main
build_executorch_binary(
File "/home/guangyang/executorch/examples/qualcomm/utils.py", line 329, in build_executorch_binary
exported_program = to_backend(edge_prog.exported_program, qnn_partitioner)
File "/home/guangyang/.conda/envs/executorch/lib/python3.10/functools.py", line 878, in wrapper
return dispatch(args[0].__class__)(*args, **kw)
File "/home/guangyang/executorch/exir/backend/backend_api.py", line 396, in _
tagged_graph_module = _partition_and_lower(
File "/home/guangyang/executorch/exir/backend/backend_api.py", line 319, in _partition_and_lower
partitioned_module = _partition_and_lower_one_graph_module(
File "/home/guangyang/executorch/exir/backend/backend_api.py", line 249, in _partition_and_lower_one_graph_module
lowered_submodule = to_backend(
File "/home/guangyang/.conda/envs/executorch/lib/python3.10/functools.py", line 878, in wrapper
return dispatch(args[0].__class__)(*args, **kw)
File "/home/guangyang/executorch/exir/backend/backend_api.py", line 113, in _
preprocess_result: PreprocessResult = cls.preprocess(
File "/home/guangyang/executorch/backends/qualcomm/qnn_preprocess.py", line 110, in preprocess
assert len(qnn_context_binary) != 0, "Failed to generate Qnn context binary."
AssertionError: Failed to generate Qnn context binary.

Versions

trunk

cc @cccclai@winskuo-quic@shewu-quic

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    module: examplesIssues related to demos under examples/module: qnnIssues related to Qualcomm's QNN delegate and code under backends/qualcomm/partner: qualcommFor backend delegation, kernels, demo, etc. from the 3rd-party partner, QualcommtriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate module

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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" + '
      
      Skip to content

      QNN: mobilebert failed to generate Qnn context binary #7946

      Description

      @guangy10

      🐛 Describe the bug

      python -m examples.qualcomm.scripts.mobilebert_fine_tune -b cmake-out -m SM8450 --compile_only --use_fp16

      stacktrace:

      
      [ERROR] [Qnn ExecuTorch]: QnnDsp <E> Context binary size calculation failed
      [ERROR] [Qnn ExecuTorch]: QnnDsp <E> Failed to get serialized binary
      [ERROR] [Qnn ExecuTorch]: QnnDsp <E> Failed to get context binary size with err 0x7532
      [ERROR] [Qnn ExecuTorch]: Can't determine the size of graph binary to be saved to cache. Error 30002
      E 00:01:45.674883 executorch:QnnManager.cpp:484] Fail to get context binary.
      Traceback (most recent call last):
      File "/data/users/guangyang/executorch/examples/qualcomm/scripts/mobilebert_fine_tune.py", line 399, in <module>
      main(args)
      File "/data/users/guangyang/executorch/examples/qualcomm/scripts/mobilebert_fine_tune.py", line 270, in main
      build_executorch_binary(
      File "/home/guangyang/executorch/examples/qualcomm/utils.py", line 329, in build_executorch_binary
      exported_program = to_backend(edge_prog.exported_program, qnn_partitioner)
      File "/home/guangyang/.conda/envs/executorch/lib/python3.10/functools.py", line 878, in wrapper
      return dispatch(args[0].__class__)(*args, **kw)
      File "/home/guangyang/executorch/exir/backend/backend_api.py", line 396, in _
      tagged_graph_module = _partition_and_lower(
      File "/home/guangyang/executorch/exir/backend/backend_api.py", line 319, in _partition_and_lower
      partitioned_module = _partition_and_lower_one_graph_module(
      File "/home/guangyang/executorch/exir/backend/backend_api.py", line 249, in _partition_and_lower_one_graph_module
      lowered_submodule = to_backend(
      File "/home/guangyang/.conda/envs/executorch/lib/python3.10/functools.py", line 878, in wrapper
      return dispatch(args[0].__class__)(*args, **kw)
      File "/home/guangyang/executorch/exir/backend/backend_api.py", line 113, in _
      preprocess_result: PreprocessResult = cls.preprocess(
      File "/home/guangyang/executorch/backends/qualcomm/qnn_preprocess.py", line 110, in preprocess
      assert len(qnn_context_binary) != 0, "Failed to generate Qnn context binary."
      AssertionError: Failed to generate Qnn context binary.
      

      Versions

      trunk

      cc @cccclai@winskuo-quic@shewu-quic

      Activity

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        Labels

        module: examplesIssues related to demos under examples/module: qnnIssues related to Qualcomm's QNN delegate and code under backends/qualcomm/partner: qualcommFor backend delegation, kernels, demo, etc. from the 3rd-party partner, QualcommtriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate module

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          No branches or pull requests

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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

          QNN: mobilebert failed to generate Qnn context binary #7946

          Description

          @guangy10

          🐛 Describe the bug

          python -m examples.qualcomm.scripts.mobilebert_fine_tune -b cmake-out -m SM8450 --compile_only --use_fp16

          stacktrace:

          
          [ERROR] [Qnn ExecuTorch]: QnnDsp <E> Context binary size calculation failed
          [ERROR] [Qnn ExecuTorch]: QnnDsp <E> Failed to get serialized binary
          [ERROR] [Qnn ExecuTorch]: QnnDsp <E> Failed to get context binary size with err 0x7532
          [ERROR] [Qnn ExecuTorch]: Can't determine the size of graph binary to be saved to cache. Error 30002
          E 00:01:45.674883 executorch:QnnManager.cpp:484] Fail to get context binary.
          Traceback (most recent call last):
          File "/data/users/guangyang/executorch/examples/qualcomm/scripts/mobilebert_fine_tune.py", line 399, in <module>
          main(args)
          File "/data/users/guangyang/executorch/examples/qualcomm/scripts/mobilebert_fine_tune.py", line 270, in main
          build_executorch_binary(
          File "/home/guangyang/executorch/examples/qualcomm/utils.py", line 329, in build_executorch_binary
          exported_program = to_backend(edge_prog.exported_program, qnn_partitioner)
          File "/home/guangyang/.conda/envs/executorch/lib/python3.10/functools.py", line 878, in wrapper
          return dispatch(args[0].__class__)(*args, **kw)
          File "/home/guangyang/executorch/exir/backend/backend_api.py", line 396, in _
          tagged_graph_module = _partition_and_lower(
          File "/home/guangyang/executorch/exir/backend/backend_api.py", line 319, in _partition_and_lower
          partitioned_module = _partition_and_lower_one_graph_module(
          File "/home/guangyang/executorch/exir/backend/backend_api.py", line 249, in _partition_and_lower_one_graph_module
          lowered_submodule = to_backend(
          File "/home/guangyang/.conda/envs/executorch/lib/python3.10/functools.py", line 878, in wrapper
          return dispatch(args[0].__class__)(*args, **kw)
          File "/home/guangyang/executorch/exir/backend/backend_api.py", line 113, in _
          preprocess_result: PreprocessResult = cls.preprocess(
          File "/home/guangyang/executorch/backends/qualcomm/qnn_preprocess.py", line 110, in preprocess
          assert len(qnn_context_binary) != 0, "Failed to generate Qnn context binary."
          AssertionError: Failed to generate Qnn context binary.
          

          Versions

          trunk

          cc @cccclai@winskuo-quic@shewu-quic

          Activity

          Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

          Metadata

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            Labels

            module: examplesIssues related to demos under examples/module: qnnIssues related to Qualcomm's QNN delegate and code under backends/qualcomm/partner: qualcommFor backend delegation, kernels, demo, etc. from the 3rd-party partner, QualcommtriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate module

            Type

            Projects

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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

              QNN: mobilebert failed to generate Qnn context binary #7946

              Description

              @guangy10

              🐛 Describe the bug

              python -m examples.qualcomm.scripts.mobilebert_fine_tune -b cmake-out -m SM8450 --compile_only --use_fp16

              stacktrace:

              
              [ERROR] [Qnn ExecuTorch]: QnnDsp <E> Context binary size calculation failed
              [ERROR] [Qnn ExecuTorch]: QnnDsp <E> Failed to get serialized binary
              [ERROR] [Qnn ExecuTorch]: QnnDsp <E> Failed to get context binary size with err 0x7532
              [ERROR] [Qnn ExecuTorch]: Can't determine the size of graph binary to be saved to cache. Error 30002
              E 00:01:45.674883 executorch:QnnManager.cpp:484] Fail to get context binary.
              Traceback (most recent call last):
              File "/data/users/guangyang/executorch/examples/qualcomm/scripts/mobilebert_fine_tune.py", line 399, in <module>
              main(args)
              File "/data/users/guangyang/executorch/examples/qualcomm/scripts/mobilebert_fine_tune.py", line 270, in main
              build_executorch_binary(
              File "/home/guangyang/executorch/examples/qualcomm/utils.py", line 329, in build_executorch_binary
              exported_program = to_backend(edge_prog.exported_program, qnn_partitioner)
              File "/home/guangyang/.conda/envs/executorch/lib/python3.10/functools.py", line 878, in wrapper
              return dispatch(args[0].__class__)(*args, **kw)
              File "/home/guangyang/executorch/exir/backend/backend_api.py", line 396, in _
              tagged_graph_module = _partition_and_lower(
              File "/home/guangyang/executorch/exir/backend/backend_api.py", line 319, in _partition_and_lower
              partitioned_module = _partition_and_lower_one_graph_module(
              File "/home/guangyang/executorch/exir/backend/backend_api.py", line 249, in _partition_and_lower_one_graph_module
              lowered_submodule = to_backend(
              File "/home/guangyang/.conda/envs/executorch/lib/python3.10/functools.py", line 878, in wrapper
              return dispatch(args[0].__class__)(*args, **kw)
              File "/home/guangyang/executorch/exir/backend/backend_api.py", line 113, in _
              preprocess_result: PreprocessResult = cls.preprocess(
              File "/home/guangyang/executorch/backends/qualcomm/qnn_preprocess.py", line 110, in preprocess
              assert len(qnn_context_binary) != 0, "Failed to generate Qnn context binary."
              AssertionError: Failed to generate Qnn context binary.
              

              Versions

              trunk

              cc @cccclai@winskuo-quic@shewu-quic

              Activity

              Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

              Metadata

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                Labels

                module: examplesIssues related to demos under examples/module: qnnIssues related to Qualcomm's QNN delegate and code under backends/qualcomm/partner: qualcommFor backend delegation, kernels, demo, etc. from the 3rd-party partner, QualcommtriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate module

                Type

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                  None yet

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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

                  QNN: mobilebert failed to generate Qnn context binary #7946

                  Description

                  @guangy10

                  🐛 Describe the bug

                  python -m examples.qualcomm.scripts.mobilebert_fine_tune -b cmake-out -m SM8450 --compile_only --use_fp16

                  stacktrace:

                  
                  [ERROR] [Qnn ExecuTorch]: QnnDsp <E> Context binary size calculation failed
                  [ERROR] [Qnn ExecuTorch]: QnnDsp <E> Failed to get serialized binary
                  [ERROR] [Qnn ExecuTorch]: QnnDsp <E> Failed to get context binary size with err 0x7532
                  [ERROR] [Qnn ExecuTorch]: Can't determine the size of graph binary to be saved to cache. Error 30002
                  E 00:01:45.674883 executorch:QnnManager.cpp:484] Fail to get context binary.
                  Traceback (most recent call last):
                  File "/data/users/guangyang/executorch/examples/qualcomm/scripts/mobilebert_fine_tune.py", line 399, in <module>
                  main(args)
                  File "/data/users/guangyang/executorch/examples/qualcomm/scripts/mobilebert_fine_tune.py", line 270, in main
                  build_executorch_binary(
                  File "/home/guangyang/executorch/examples/qualcomm/utils.py", line 329, in build_executorch_binary
                  exported_program = to_backend(edge_prog.exported_program, qnn_partitioner)
                  File "/home/guangyang/.conda/envs/executorch/lib/python3.10/functools.py", line 878, in wrapper
                  return dispatch(args[0].__class__)(*args, **kw)
                  File "/home/guangyang/executorch/exir/backend/backend_api.py", line 396, in _
                  tagged_graph_module = _partition_and_lower(
                  File "/home/guangyang/executorch/exir/backend/backend_api.py", line 319, in _partition_and_lower
                  partitioned_module = _partition_and_lower_one_graph_module(
                  File "/home/guangyang/executorch/exir/backend/backend_api.py", line 249, in _partition_and_lower_one_graph_module
                  lowered_submodule = to_backend(
                  File "/home/guangyang/.conda/envs/executorch/lib/python3.10/functools.py", line 878, in wrapper
                  return dispatch(args[0].__class__)(*args, **kw)
                  File "/home/guangyang/executorch/exir/backend/backend_api.py", line 113, in _
                  preprocess_result: PreprocessResult = cls.preprocess(
                  File "/home/guangyang/executorch/backends/qualcomm/qnn_preprocess.py", line 110, in preprocess
                  assert len(qnn_context_binary) != 0, "Failed to generate Qnn context binary."
                  AssertionError: Failed to generate Qnn context binary.
                  

                  Versions

                  trunk

                  cc @cccclai@winskuo-quic@shewu-quic

                  Activity

                  Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

                  Metadata

                  Metadata

                  Assignees

                  No one assigned

                    Labels

                    module: examplesIssues related to demos under examples/module: qnnIssues related to Qualcomm's QNN delegate and code under backends/qualcomm/partner: qualcommFor backend delegation, kernels, demo, etc. from the 3rd-party partner, QualcommtriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate module

                    Type

                    Projects

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                      Milestone

                      No milestone

                      Relationships

                      None yet

                      Development

                      No branches or pull requests

                      Issue actions

                      , '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('^' + ".*" + '
                      Skip to content

                      QNN: mobilebert failed to generate Qnn context binary #7946

                      Description

                      @guangy10

                      🐛 Describe the bug

                      python -m examples.qualcomm.scripts.mobilebert_fine_tune -b cmake-out -m SM8450 --compile_only --use_fp16

                      stacktrace:

                      
                      [ERROR] [Qnn ExecuTorch]: QnnDsp <E> Context binary size calculation failed
                      [ERROR] [Qnn ExecuTorch]: QnnDsp <E> Failed to get serialized binary
                      [ERROR] [Qnn ExecuTorch]: QnnDsp <E> Failed to get context binary size with err 0x7532
                      [ERROR] [Qnn ExecuTorch]: Can't determine the size of graph binary to be saved to cache. Error 30002
                      E 00:01:45.674883 executorch:QnnManager.cpp:484] Fail to get context binary.
                      Traceback (most recent call last):
                      File "/data/users/guangyang/executorch/examples/qualcomm/scripts/mobilebert_fine_tune.py", line 399, in <module>
                      main(args)
                      File "/data/users/guangyang/executorch/examples/qualcomm/scripts/mobilebert_fine_tune.py", line 270, in main
                      build_executorch_binary(
                      File "/home/guangyang/executorch/examples/qualcomm/utils.py", line 329, in build_executorch_binary
                      exported_program = to_backend(edge_prog.exported_program, qnn_partitioner)
                      File "/home/guangyang/.conda/envs/executorch/lib/python3.10/functools.py", line 878, in wrapper
                      return dispatch(args[0].__class__)(*args, **kw)
                      File "/home/guangyang/executorch/exir/backend/backend_api.py", line 396, in _
                      tagged_graph_module = _partition_and_lower(
                      File "/home/guangyang/executorch/exir/backend/backend_api.py", line 319, in _partition_and_lower
                      partitioned_module = _partition_and_lower_one_graph_module(
                      File "/home/guangyang/executorch/exir/backend/backend_api.py", line 249, in _partition_and_lower_one_graph_module
                      lowered_submodule = to_backend(
                      File "/home/guangyang/.conda/envs/executorch/lib/python3.10/functools.py", line 878, in wrapper
                      return dispatch(args[0].__class__)(*args, **kw)
                      File "/home/guangyang/executorch/exir/backend/backend_api.py", line 113, in _
                      preprocess_result: PreprocessResult = cls.preprocess(
                      File "/home/guangyang/executorch/backends/qualcomm/qnn_preprocess.py", line 110, in preprocess
                      assert len(qnn_context_binary) != 0, "Failed to generate Qnn context binary."
                      AssertionError: Failed to generate Qnn context binary.
                      

                      Versions

                      trunk

                      cc @cccclai@winskuo-quic@shewu-quic

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                        module: examplesIssues related to demos under examples/module: qnnIssues related to Qualcomm's QNN delegate and code under backends/qualcomm/partner: qualcommFor backend delegation, kernels, demo, etc. from the 3rd-party partner, QualcommtriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate module

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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

                          QNN: mobilebert failed to generate Qnn context binary #7946

                          Description

                          @guangy10

                          🐛 Describe the bug

                          python -m examples.qualcomm.scripts.mobilebert_fine_tune -b cmake-out -m SM8450 --compile_only --use_fp16

                          stacktrace:

                          
                          [ERROR] [Qnn ExecuTorch]: QnnDsp <E> Context binary size calculation failed
                          [ERROR] [Qnn ExecuTorch]: QnnDsp <E> Failed to get serialized binary
                          [ERROR] [Qnn ExecuTorch]: QnnDsp <E> Failed to get context binary size with err 0x7532
                          [ERROR] [Qnn ExecuTorch]: Can't determine the size of graph binary to be saved to cache. Error 30002
                          E 00:01:45.674883 executorch:QnnManager.cpp:484] Fail to get context binary.
                          Traceback (most recent call last):
                          File "/data/users/guangyang/executorch/examples/qualcomm/scripts/mobilebert_fine_tune.py", line 399, in <module>
                          main(args)
                          File "/data/users/guangyang/executorch/examples/qualcomm/scripts/mobilebert_fine_tune.py", line 270, in main
                          build_executorch_binary(
                          File "/home/guangyang/executorch/examples/qualcomm/utils.py", line 329, in build_executorch_binary
                          exported_program = to_backend(edge_prog.exported_program, qnn_partitioner)
                          File "/home/guangyang/.conda/envs/executorch/lib/python3.10/functools.py", line 878, in wrapper
                          return dispatch(args[0].__class__)(*args, **kw)
                          File "/home/guangyang/executorch/exir/backend/backend_api.py", line 396, in _
                          tagged_graph_module = _partition_and_lower(
                          File "/home/guangyang/executorch/exir/backend/backend_api.py", line 319, in _partition_and_lower
                          partitioned_module = _partition_and_lower_one_graph_module(
                          File "/home/guangyang/executorch/exir/backend/backend_api.py", line 249, in _partition_and_lower_one_graph_module
                          lowered_submodule = to_backend(
                          File "/home/guangyang/.conda/envs/executorch/lib/python3.10/functools.py", line 878, in wrapper
                          return dispatch(args[0].__class__)(*args, **kw)
                          File "/home/guangyang/executorch/exir/backend/backend_api.py", line 113, in _
                          preprocess_result: PreprocessResult = cls.preprocess(
                          File "/home/guangyang/executorch/backends/qualcomm/qnn_preprocess.py", line 110, in preprocess
                          assert len(qnn_context_binary) != 0, "Failed to generate Qnn context binary."
                          AssertionError: Failed to generate Qnn context binary.
                          

                          Versions

                          trunk

                          cc @cccclai@winskuo-quic@shewu-quic

                          Activity

                          Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

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                            module: examplesIssues related to demos under examples/module: qnnIssues related to Qualcomm's QNN delegate and code under backends/qualcomm/partner: qualcommFor backend delegation, kernels, demo, etc. from the 3rd-party partner, QualcommtriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate module

                            Type

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                              No milestone

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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

                              QNN: mobilebert failed to generate Qnn context binary #7946

                              Description

                              @guangy10

                              🐛 Describe the bug

                              python -m examples.qualcomm.scripts.mobilebert_fine_tune -b cmake-out -m SM8450 --compile_only --use_fp16

                              stacktrace:

                              
                              [ERROR] [Qnn ExecuTorch]: QnnDsp <E> Context binary size calculation failed
                              [ERROR] [Qnn ExecuTorch]: QnnDsp <E> Failed to get serialized binary
                              [ERROR] [Qnn ExecuTorch]: QnnDsp <E> Failed to get context binary size with err 0x7532
                              [ERROR] [Qnn ExecuTorch]: Can't determine the size of graph binary to be saved to cache. Error 30002
                              E 00:01:45.674883 executorch:QnnManager.cpp:484] Fail to get context binary.
                              Traceback (most recent call last):
                              File "/data/users/guangyang/executorch/examples/qualcomm/scripts/mobilebert_fine_tune.py", line 399, in <module>
                              main(args)
                              File "/data/users/guangyang/executorch/examples/qualcomm/scripts/mobilebert_fine_tune.py", line 270, in main
                              build_executorch_binary(
                              File "/home/guangyang/executorch/examples/qualcomm/utils.py", line 329, in build_executorch_binary
                              exported_program = to_backend(edge_prog.exported_program, qnn_partitioner)
                              File "/home/guangyang/.conda/envs/executorch/lib/python3.10/functools.py", line 878, in wrapper
                              return dispatch(args[0].__class__)(*args, **kw)
                              File "/home/guangyang/executorch/exir/backend/backend_api.py", line 396, in _
                              tagged_graph_module = _partition_and_lower(
                              File "/home/guangyang/executorch/exir/backend/backend_api.py", line 319, in _partition_and_lower
                              partitioned_module = _partition_and_lower_one_graph_module(
                              File "/home/guangyang/executorch/exir/backend/backend_api.py", line 249, in _partition_and_lower_one_graph_module
                              lowered_submodule = to_backend(
                              File "/home/guangyang/.conda/envs/executorch/lib/python3.10/functools.py", line 878, in wrapper
                              return dispatch(args[0].__class__)(*args, **kw)
                              File "/home/guangyang/executorch/exir/backend/backend_api.py", line 113, in _
                              preprocess_result: PreprocessResult = cls.preprocess(
                              File "/home/guangyang/executorch/backends/qualcomm/qnn_preprocess.py", line 110, in preprocess
                              assert len(qnn_context_binary) != 0, "Failed to generate Qnn context binary."
                              AssertionError: Failed to generate Qnn context binary.
                              

                              Versions

                              trunk

                              cc @cccclai@winskuo-quic@shewu-quic

                              Activity

                              Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

                              Metadata

                              Metadata

                              Assignees

                              No one assigned

                                Labels

                                module: examplesIssues related to demos under examples/module: qnnIssues related to Qualcomm's QNN delegate and code under backends/qualcomm/partner: qualcommFor backend delegation, kernels, demo, etc. from the 3rd-party partner, QualcommtriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate module

                                Type

                                Projects

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                                  Milestone

                                  No milestone

                                  Relationships

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                                  Issue actions