Update torch pin to 2.11 release candidate

[mergennachin]

Trying to pin to nightly 3.18 but the some linux cuda wheels weren't successfully built last night.

#18187

Need to pin to stable release candidate due to time criticality.

Will need to revert this PR and pin normally to torch nightlies

[pytorch-bot]

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[github-actions]

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[Copilot]

Pull request overview

Updates the repository’s PyTorch integration toward the 2.11 release/RC line, adjusts dependency installation sources, and incorporates a ROCm-specific complex math workaround alongside export decomposition fixes for Metal-related flows.

Changes:

• Switch PyTorch install flows to use the PyTorch “test” wheel index and pin torch/vision/audio versions for that path.
• Update model export scripts (parakeet/voxtral realtime) to use torch.export.default_decompositions() plus a custom linear-bias decomposition.
• Add a HIP-specific complex<float> pow implementation intended to mitigate a ROCm 7.2 numerical regression.

Reviewed changes

Copilot reviewed 10 out of 10 changed files in this pull request and generated 7 comments.

Show a summary per file

File	Description
torch_pin.py	Adjusts torch pin metadata (nightly pin no longer a live Python constant).
runtime/core/portable_type/c10/c10/util/complex_math.h	Adds HIP-specific pow specialization for complex<float> using FMA-based multiplication.
install_requirements.py	Moves install base URL to PyTorch “test” index and hardcodes torch/vision/audio versions for the “nightly” path.
exir/sym_util.py	Uses guarding_hint_or_throw when available, falling back to deprecated size_hint.
examples/models/voxtral_realtime/export_voxtral_rt.py	Uses default decompositions table with a custom linear decomposition override.
examples/models/parakeet/export_parakeet_tdt.py	Uses default decompositions table with a custom linear decomposition override.
.ci/scripts/utils.sh	Pins torchaudio/torchvision to release branches instead of commit-pin files.
.ci/scripts/test_wheel_package_qnn.sh	Switches torch install to PyTorch “test” index and removes NIGHTLY_VERSION usage.
.ci/docker/common/install_pytorch.sh	Pins torchaudio/torchvision to release branches in Docker build.
.ci/docker/ci_commit_pins/pytorch.txt	Changes PyTorch pin from a commit SHA to release/2.11.

Comments suppressed due to low confidence (1)

install_requirements.py:28

• install_requirements.py still describes "nightly" behavior and references NIGHTLY_VERSION/hud.pytorch.org nightly pins, but the script now installs from the /whl/test index and no longer uses NIGHTLY_VERSION. Please update these top-of-file notes to match the new release/RC/test-index workflow so users don’t follow stale instructions.

# The pip repository that hosts nightly torch packages.
# This will be dynamically set based on CUDA availability and CUDA backend enabled/disabled.
TORCH_URL_BASE = "https://download.pytorch.org/whl/test"

# Since ExecuTorch often uses main-branch features of pytorch, only the nightly
# pip versions will have the required features.
#
# NOTE: If a newly-fetched version of the executorch repo changes the value of
# NIGHTLY_VERSION, you should re-run this script to install the necessary
# package versions.
#
# NOTE: If you're changing, make the corresponding change in .ci/docker/ci_commit_pins/pytorch.txt
# by picking the hash from the same date in
# https://hud.pytorch.org/hud/pytorch/pytorch/nightly/ @lint-ignore

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[Copilot]

Pull request overview

This PR temporarily shifts ExecuTorch’s PyTorch dependency strategy from a date-stamped nightly pin to a PyTorch 2.11 release-candidate/stable track (motivated by missing/broken nightly CUDA wheels), and updates a ROCm-specific complex math implementation to avoid a ROCm 7.2 regression.

Changes:

• Switch installation logic to use the PyTorch whl/test index and pin torch/torchvision/torchaudio to 2.11/0.26 versions.
• Update CI/docker scripts to use release/* refs for PyTorch domain libraries and set the PyTorch pin file to release/2.11.
• Add a HIP-specific pow(complex<float>, complex<float>) specialization using an FMA-preserving multiply to mitigate ROCm 7.2 numerical regression.

Reviewed changes

Copilot reviewed 10 out of 10 changed files in this pull request and generated 8 comments.

Show a summary per file

File	Description
torch_pin.py	Comments out NIGHTLY_VERSION to reflect temporary non-nightly pin.
runtime/core/portable_type/c10/c10/util/complex_math.h	Adds HIP specialization for complex pow to address ROCm regression.
install_requirements.py	Points installs at whl/test and hard-pins torch/domain versions.
exir/sym_util.py	Uses guarding_hint_or_throw when available, with fallback to deprecated size_hint.
examples/models/voxtral_realtime/export_voxtral_rt.py	Uses default_decompositions() table and overrides linear decomposition.
examples/models/parakeet/export_parakeet_tdt.py	Same decomposition-table approach for Metal export.
.ci/scripts/utils.sh	Pins audio/vision to release/* refs instead of commit pins.
.ci/scripts/test_wheel_package_qnn.sh	Stops composing nightly torch version; installs torch==${TORCH_VERSION} from whl/test (extra index).
.ci/docker/common/install_pytorch.sh	Pins audio/vision to release/* refs in Docker build.
.ci/docker/ci_commit_pins/pytorch.txt	Changes PyTorch pin from a SHA to release/2.11.

Comments suppressed due to low confidence (1)

install_requirements.py:69

• torch_url is derived from the PyTorch wheel index (CPU/CUDA via determine_torch_url), but it’s passed via --extra-index-url. Now that torch==2.11.0 exists on PyPI, pip may prefer the PyPI (CPU) wheel over the CUDA wheel from download.pytorch.org, and it also won’t reliably select a release-candidate from the whl/test index. To ensure the intended wheel is installed, prefer making torch_url the primary index (--index-url) for the torch/vision/audio installs (and keep PyPI as an extra index for other deps).

    torch_url = determine_torch_url(TORCH_URL_BASE)

    # pip packages needed by exir.
    TORCH_PACKAGE = [
        # Setting use_pytorch_nightly to false to test the pinned PyTorch commit. Note
        # that we don't need to set any version number there because they have already
        # been installed on CI before this step, so pip won't reinstall them
        ("torch==2.11.0" if use_pytorch_nightly else "torch"),
    ]

    # Install the requirements for core ExecuTorch package.
    # `--extra-index-url` tells pip to look for package
    # versions on the provided URL if they aren't available on the default URL.
    subprocess.run(
        [
            sys.executable,
            "-m",
            "pip",
            "install",
            "-r",
            "requirements-dev.txt",
            *TORCH_PACKAGE,
            "--extra-index-url",
            torch_url,
        ],

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