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Update base for Update on "[Executorch][SDPA] Fix bug in sdpa"
This diff fixes two bugs 1. When doing flash attention, the partical q @ k block may contain some entries that needs to be masked out. This logic had a bug. Maybe this bug also exist in PT core. I will look into that to add test and see if I can prove it. 2. Due to special handling via start_pos in SDPA it also exposed the bug in 1 when doing really long sequence prefill in chunked manner. It is probably better to just use mask though. Code has detail comments on the issue and fix. Differential Revision: [D70922039](https://our.internmc.facebook.com/intern/diff/D70922039/) cc larryliu0820 mergennachin cccclai helunwencser jackzhxng [ghstack-poisoned]
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.ci/scripts/gather_benchmark_configs.py

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@@ -263,7 +263,8 @@ def is_valid_huggingface_model_id(model_name: str) -> bool:
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def get_benchmark_configs() -> Dict[str, Dict]: # noqa: C901
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"""
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Gather benchmark configurations for a given set of models on the target operating system and devices.
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CHANGE IF this function's return changed:
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extract_model_info() in executorch/.github/scripts/extract_benchmark_results.py IF YOU CHANGE THE RESULT OF THIS FUNCTION.
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Args:
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None
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.ci/scripts/wheel/__init__.py

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.ci/scripts/wheel/envvar_linux.sh

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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the BSD-style license found in the
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# LICENSE file in the root directory of this source tree.
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# This file is sourced into the environment before building a pip wheel. It
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# should typically only contain shell variable assignments. Be sure to export
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# any variables so that subprocesses will see them.
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source "${GITHUB_WORKSPACE}/${REPOSITORY}/.ci/scripts/wheel/envvar_base.sh"

build/packaging/env_var_script_macos.sh renamed to .ci/scripts/wheel/envvar_macos.sh

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# should typically only contain shell variable assignments. Be sure to export
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# any variables so that subprocesses will see them.
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# Enable pybindings so that users can execute ExecuTorch programs from python.
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export EXECUTORCH_BUILD_PYBIND=1
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# Ensure that CMAKE_ARGS is defined before referencing it. Defaults to empty
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# if not defined.
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export CMAKE_ARGS="${CMAKE_ARGS:-}"
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# Link the XNNPACK backend into the pybindings runtime so that users can execute
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# ExecuTorch programs that delegate to it.
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CMAKE_ARGS="${CMAKE_ARGS} -DEXECUTORCH_BUILD_XNNPACK=ON"
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source "${GITHUB_WORKSPACE}/${REPOSITORY}/.ci/scripts/wheel/envvar_base.sh"
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# When building for macOS, link additional backends into the pybindings runtime.
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CMAKE_ARGS="${CMAKE_ARGS} -DEXECUTORCH_BUILD_COREML=ON"
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build/packaging/pre_build_script.sh renamed to .ci/scripts/wheel/pre_build_script.sh

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# which does install them. Though we'd need to disable build isolation to be
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# able to see the installed torch package.
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pip install --progress-bar off -r requirements-dev.txt
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"${GITHUB_WORKSPACE}/${REPOSITORY}/install_requirements.sh"

.ci/scripts/wheel/test_base.py

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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the BSD-style license found in the
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# LICENSE file in the root directory of this source tree.
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import os
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import subprocess
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import sys
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from dataclasses import dataclass
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from functools import cache
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from typing import List
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@cache
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def _unsafe_get_env(key: str) -> str:
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value = os.getenv(key)
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if value is None:
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raise RuntimeError(f"environment variable '{key}' is not set")
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return value
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@cache
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def _repository_root_dir() -> str:
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return os.path.join(
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_unsafe_get_env("GITHUB_WORKSPACE"),
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_unsafe_get_env("REPOSITORY"),
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)
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# For some reason, we are unable to see the entire repo in the python path.
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# So manually add it.
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sys.path.append(_repository_root_dir())
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from examples.models import Backend, Model
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@dataclass
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class ModelTest:
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model: Model
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backend: Backend
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def run_tests(model_tests: List[ModelTest]) -> None:
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# Why are we doing this envvar shenanigans? Since we build the testers, which
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# uses buck, we cannot run as root. This is a sneaky of getting around that
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# test.
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#
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# This can be reverted if either:
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# - We remove usage of buck in our builds
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# - We stop running the Docker image as root: https://github.com/pytorch/test-infra/issues/5091
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envvars = os.environ.copy()
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envvars.pop("HOME")
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for model_test in model_tests:
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subprocess.run(
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[
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os.path.join(_repository_root_dir(), ".ci/scripts/test_model.sh"),
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str(model_test.model),
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# What to build `executor_runner` with for testing.
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"cmake",
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str(model_test.backend),
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],
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env=envvars,
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check=True,
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cwd=_repository_root_dir(),
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)

.ci/scripts/wheel/test_linux.py

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#!/usr/bin/env python
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the BSD-style license found in the
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# LICENSE file in the root directory of this source tree.
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import test_base
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from examples.models import Backend, Model
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if __name__ == "__main__":
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test_base.run_tests(
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model_tests=[
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test_base.ModelTest(
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model=Model.Mv3,
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backend=Backend.XnnpackQuantizationDelegation,
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)
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]
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)

.ci/scripts/wheel/test_macos.py

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#!/usr/bin/env python
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the BSD-style license found in the
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# LICENSE file in the root directory of this source tree.
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import test_base
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from examples.models import Backend, Model
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if __name__ == "__main__":
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test_base.run_tests(
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model_tests=[
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test_base.ModelTest(
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model=Model.Mv3,
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backend=Backend.XnnpackQuantizationDelegation,
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)
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]
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)

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