Windows: _get_flatc_path() looks for data/bin/flatc but the wheel ships flatc.exe (WinError 2)

exir/_serialize/_flatbuffer.py の _get_flatc_path() から始め、リソースの検索方法と setup.py における Windows 実行ファイルの命名を比較してください。Windows wheel での検索を確認し、環境の Scripts ディレクトリを PATH から外して再現手順を実行してください。この設定でパッケージに含まれる flatc.exe が見つかり、XNNPACK のエクスポートが完了すれば対応完了です。

🐛 Describe the bug

On Windows, exir/_serialize/_flatbuffer.py::_get_flatc_path() never finds the flatc binary that the wheel ships, so anything that serializes through flatc fails with FileNotFoundError: [WinError 2] whenever the environment's Scripts directory is not on PATH. This is the Windows half of #17000; @nil-is-all asked for it to be filed separately.

Cause. setup.py installs the binary through get_executable_name(), which appends .exe on Windows, so the wheel contains executorch/data/bin/flatc.exe. The lookup asks for the unsuffixed name:

# exir/_serialize/_flatbuffer.py, main at adc713a2e6, line 275
for package, resource_name in (
    (__package__, _FLATC_RESOURCE_NAME),
    ("executorch.data.bin", "flatc"),
):
    ...
    if flatc_resource.is_file():

is_file() is False for flatc on Windows, both candidates miss, and the code falls back to os.getenv("FLATC_EXECUTABLE", "flatc"), a bare name resolved through PATH. The _get_flatc_path() block in the 1.5.1 wheel is identical to main.

Reproduction. Fresh venv, pip install executorch==1.5.1, pip install torch==2.14.0 (CPU), FLATC_EXECUTABLE unset, no other flatc on PATH, and the venv is not activated (the interpreter is called by its full path):

import torch
from executorch.exir import to_edge_transform_and_lower
from executorch.backends.xnnpack.partition.xnnpack_partitioner import XnnpackPartitioner

class M(torch.nn.Module):
    def __init__(self):
        super().__init__()
        self.linear = torch.nn.Linear(4, 3)

    def forward(self, x):
        return torch.relu(self.linear(x))

ep = torch.export.export(M().eval(), (torch.randn(2, 4),))
to_edge_transform_and_lower(ep, partitioner=[XnnpackPartitioner()]).to_executorch()

<venv>\Scripts\python.exe repro.py
  ...
  File "<venv>\Lib\site-packages\executorch\backends\xnnpack\serialization\xnnpack_graph_serialize.py", line 348, in convert_to_flatbuffer
    _flatc_compile(d, schema_path, json_path)
  File "<venv>\Lib\site-packages\executorch\exir\_serialize\_flatbuffer.py", line 392, in _flatc_compile
    _run_flatc(
  File "<venv>\Lib\site-packages\executorch\exir\_serialize\_flatbuffer.py", line 339, in _run_flatc
    subprocess.run([_get_flatc_path()] + list(args), check=True)
  ...
FileNotFoundError: [WinError 2] The system cannot find the file specified

The portable (non-delegated) export in the same script succeeds: program serialization goes through _flatbuffer_program, and I confirmed with a subprocess.run spy that to_edge(...).to_executorch() spawns no flatc at all. Only the delegate payload path (here XNNPACK's convert_to_flatbuffer) needs it.

What I measured around the failure, same environment:

executorch/data/bin contents                  __init__.py, flatc.exe
spawn  <bin>\flatc.exe --version              OK    flatc version 24.3.25
spawn  <bin>\flatc     --version              OK    (CreateProcess appends .exe)
spawn  flatc           --version              FileNotFoundError: [WinError 2]
spawn  <venv>\Scripts\flatc.exe --version     OK    (console-script shim from pyproject.toml)

So the binary and subprocess are fine. Only the is_file() check on the unsuffixed name fails, and the bare-name fallback works only when something called flatc is on PATH.

Why it is not seen everywhere. The [project.scripts] entry flatc = "executorch.data.bin:flatc" makes pip create Scripts\flatc.exe, which forwards to the packaged binary. In an activated venv (or any environment whose Scripts is on PATH) the bare-name fallback finds that shim and the export works. Same script, same install, venv Scripts prepended to PATH:

portable : OK
xnnpack  : OK

That would also explain why the Windows wheel smoke test (.ci/scripts/wheel/test_windows.py, which runs the same XNNPACK to_executorch() flow) does not catch it; I have not looked at how that job sets up PATH. The failing setups are the ones that call the interpreter without activation: IDE run configurations, Jupyter or other kernels pointing at a venv's python.exe, scheduled tasks, and tools that spawn the interpreter themselves.

I need to correct two statements from my earlier comments on #17000. I wrote that the wheel is only exercised by a shell script that does not run on Windows; that is wrong, the Windows wheel test does run an XNNPACK export, it just runs with Scripts on PATH. And "dies on Windows" was broader than what I can show: the failure needs Scripts to be off PATH.

Workaround today: set FLATC_EXECUTABLE=<site-packages>\executorch\data\bin\flatc.exe, or put the venv's Scripts directory on PATH.

Proposed fix (PR to follow, one line of behaviour): look up flatc.exe on win32, matching what setup.py packages.

("executorch.data.bin", "flatc.exe" if sys.platform == "win32" else "flatc"),

I checked the other places that could resolve a packaged executable by bare name. The wheel ships exactly one executable, flatc.exe. All eight modules that run flatc (xnnpack, vulkan, qualcomm, samsung, native serialization, bundled_program, etdump, flat_tensor) go through _flatc_compile, _flatc_decompile or _run_flatc in this file, so none has its own lookup. The two generate_*.py regeneration scripts and backends/mlx/serialization/generate.py are checkout-side tools that take FLATC_EXECUTABLE or a --flatc path and do not read the wheel. shutil.which callers (for example backends/arm/test/runner_utils.py) already honour PATHEXT. The one other place that looks for the packaged binary by the unsuffixed name is find_executorch_flatc() in backends/arm/scripts/build_executor_runner.sh; it is a bash script for the Arm bare-metal flow and I did not test it on Windows, so I left it alone.

Versions

OS: Microsoft Windows 11 (10.0.26300 64 bit), x86_64
Python: 3.12.10 (64-bit)
executorch==1.5.1 (PyPI win_amd64 wheel), torch==2.14.0+cpu, torchao==0.18.0, numpy==2.5.4