Update

[ghstack-poisoned]

Author: shoumikhin

.ci/scripts/wheel/test_linux.py

@@ -7,6 +7,7 @@
 # LICENSE file in the root directory of this source tree.
 
 import platform
+import sys
 import tempfile
 from pathlib import Path
 
@@ -58,15 +59,22 @@
         with tempfile.TemporaryDirectory() as work_dir:
             test_cpp_sdk.run_tests(Path(work_dir))
 
-    test_base.run_tests(
-        model_tests=[
-            test_base.ModelTest(
-                model=Model.Mv3,
-                backend=Backend.XnnpackQuantizationDelegation,
-            ),
+    model_tests = [
+        test_base.ModelTest(
+            model=Model.Mv3,
+            backend=Backend.XnnpackQuantizationDelegation,
+        ),
+    ]
+    # The wheel declares coremltools only below 3.14, because that release publishes no build for
+    # it, so on 3.14 this case would fail on the missing import rather than exercise Core ML.
+    if sys.version_info < (3, 14):
+        model_tests.append(
             test_base.ModelTest(
                 model=Model.Mv3,
                 backend=Backend.CoreMlExportOnly,
-            ),
-        ]
-    )
+            )
+        )
+    else:
+        print("Skipping the Core ML case: coremltools has no Python 3.14 build")
+
+    test_base.run_tests(model_tests=model_tests)

.ci/scripts/wheel/test_macos.py

@@ -6,21 +6,30 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+import sys
+
 import test_base
 from examples.models import Backend, Model
 
 if __name__ == "__main__":
     test_base.test_cmsis_nn_install()
 
-    test_base.run_tests(
-        model_tests=[
-            test_base.ModelTest(
-                model=Model.Mv3,
-                backend=Backend.XnnpackQuantizationDelegation,
-            ),
+    model_tests = [
+        test_base.ModelTest(
+            model=Model.Mv3,
+            backend=Backend.XnnpackQuantizationDelegation,
+        ),
+    ]
+    # The wheel declares coremltools only below 3.14, because that release publishes no build for
+    # it, so on 3.14 this case would fail on the missing import rather than exercise Core ML.
+    if sys.version_info < (3, 14):
+        model_tests.append(
             test_base.ModelTest(
                 model=Model.Mv3,
                 backend=Backend.CoreMlExportAndTest,
-            ),
-        ]
-    )
+            )
+        )
+    else:
+        print("Skipping the Core ML case: coremltools has no Python 3.14 build")
+
+    test_base.run_tests(model_tests=model_tests)

devtools/etdump/etdump_flatcc.h

@@ -74,6 +74,7 @@ class ETDumpGen : public ::executorch::runtime::EventTracer {
  public:
   ETDumpGen(::executorch::runtime::Span<uint8_t> buffer = {nullptr, (size_t)0});
   ~ETDumpGen() override;
+  void clear_builder();
 
   void create_event_block(const char* name) override;
   virtual ::executorch::runtime::EventTracerEntry start_profiling(

requirements-examples.txt

@@ -3,5 +3,8 @@
 datasets == 3.6.0 # 4.0.0 deprecates trust_remote_code and load scripts. For now pin to 3.6.0
 timm == 1.0.7
 torchsr == 1.0.4
-torchtune @ git+https://github.com/pytorch/torchtune.git@3c1872ace149f03ef4ffec765d3f0a5fd0399497
+# torchtune caps pyarrow below 21, and no pyarrow in that range ships a cp314 wheel,
+# so pip falls back to the sdist and its Arrow C++ build fails. Skip it on 3.14 until
+# torchtune relaxes the cap; nothing that needs torchtune runs on 3.14 yet.
+torchtune @ git+https://github.com/pytorch/torchtune.git@3c1872ace149f03ef4ffec765d3f0a5fd0399497 ; python_version < "3.14"
 transformers == 5.0.0rc1