Add qnn backend to pip package #13733

cccclai · 2025-08-27T19:50:16Z

Summary:
When generating the wheel packages

download the qnn sdk such that we can build the qnn backend
remove the downloaded sdk files so it won't be part of wheel packages

Inside the qnn packages, it includes the AoT part and the the qnn backend.so files (the build from executorch/backends/qualcomm)

For users:

# This step will install qnn backend
pip install executorch-0.8.0a0+e5f94da-cp310-cp310-linux_x86_64.whl


# The qnn sdk will be downloaded when users first , if the QNN_SDK_ROOT is not set. This step will only run once 
from executorch.backend.qualcomm import any module

Rollback Plan:

Differential Revision: D80992066

pytorch-bot · 2025-08-27T19:50:19Z

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/13733

📄 Preview Python docs built from this PR

Note: Links to docs will display an error until the docs builds have been completed.

❌ 122 New Failures, 1 Unrelated Failure

As of commit 010c3b4 with merge base dcf8580 ():

NEW FAILURES - The following jobs have failed:

Build documentation / build (buck2) / Build doc (gh)
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trunk / test-models-macos-cpu (vit, xnnpack-quantization-delegation) / macos-job (gh)
RuntimeError: Command bash /Users/ec2-user/runner/_work/_temp/exec_script failed with exit code 1
trunk / test-models-macos-cpu (w2l, xnnpack-quantization-delegation) / macos-job (gh)
RuntimeError: Command bash /Users/ec2-user/runner/_work/_temp/exec_script failed with exit code 1
trunk / test-models-macos-mps / macos-job (gh)
RuntimeError: Command bash /Users/ec2-user/runner/_work/_temp/exec_script failed with exit code 1
trunk / test-qnn-model (fp32, conv_former) / linux-job (gh)
RuntimeError: Command docker exec -t 7753dcfd1e33ed4bf6581eb5b34235b0cf7cfc90b1e9627a083818da247172dc /exec failed with exit code 1
trunk / test-qnn-model (fp32, dl3) / linux-job (gh)
RuntimeError: Command docker exec -t 80e153f97cb03ec1224abc84ae1373a4ef0ec8acb8705a8dfaa974eb89cd69a2 /exec failed with exit code 1
trunk / test-qnn-model (fp32, ic3) / linux-job (gh)
RuntimeError: Command docker exec -t 20b4fa83895610fed7550918e8b7d1fd47e2d25dc9eef778d2b1a6bea1f7e349 /exec failed with exit code 1
trunk / test-qnn-model (fp32, ic4) / linux-job (gh)
RuntimeError: Command docker exec -t f91cf25a3a9499175aaae6ce5037a924586b5cb10828a569c65fc32f75f468ab /exec failed with exit code 1
trunk / test-qnn-model (fp32, mb) / linux-job (gh)
RuntimeError: Command docker exec -t 26841447624cc6ac9d8ab6a103b92969e5dc53c83c6eeb97d34fd665bb74b661 /exec failed with exit code 1
trunk / test-qnn-model (fp32, mv2) / linux-job (gh)
RuntimeError: Command docker exec -t 0291c083d731fc50f68c9fc8fb9ba53e60b495f696c61d2c8eb5e7aa5039fab7 /exec failed with exit code 1
trunk / test-qnn-model (fp32, mv3) / linux-job (gh)
RuntimeError: Command docker exec -t a5829344ee5191cefccd5a14e398845ecd29398f1e59b1cfd49a4f2a08eec6d5 /exec failed with exit code 1
trunk / test-qnn-model (fp32, vit) / linux-job (gh)
RuntimeError: Command docker exec -t d2708685ac0dc506285bc21c5a7c9f8fa82014afa8955170d4db9ea6fe2a8907 /exec failed with exit code 1
trunk / test-qnn-model (fp32, w2l) / linux-job (gh)
RuntimeError: Command docker exec -t d226648dc117bbeb633f216b3a19aa43df5c73269380cab1b9eba49e6ecff4b0 /exec failed with exit code 1
trunk / test-qnn-optimum-model (fp32, albert) / linux-job (gh)
RuntimeError: Command docker exec -t 6bfc5e889738155573ed3f4d36bf62bc437bd15b08bb2b4a4b1db7b363c68740 /exec failed with exit code 1
trunk / test-qnn-optimum-model (fp32, bert) / linux-job (gh)
RuntimeError: Command docker exec -t 11993a82f38eef26637976d7b3d9a1f5450e8c21a102887b024d82e18bf24b24 /exec failed with exit code 1
trunk / test-qnn-optimum-model (fp32, cvt) / linux-job (gh)
RuntimeError: Command docker exec -t 2b69c7a2b49e9eed8e47ea8fe8f3dbad7eb0cf3fe1522beffd96ef94c30eb925 /exec failed with exit code 1
trunk / test-qnn-optimum-model (fp32, distilbert) / linux-job (gh)
RuntimeError: Command docker exec -t f9123c2515cff4d10849b7824bfa448989f3c744c4374aaaf9996bb08117aae0 /exec failed with exit code 1
trunk / test-qnn-optimum-model (fp32, dit) / linux-job (gh)
RuntimeError: Command docker exec -t 08c00bb009509613f4d3d5b7bbb1beef0318389b7ba8b29a5638f86e484f34c6 /exec failed with exit code 1
trunk / test-qnn-optimum-model (fp32, efficientnet) / linux-job (gh)
RuntimeError: Command docker exec -t 5f307eb6877b6f32f987431a5569c290dda3bbbb005be1aeaa89b5f4abd69613 /exec failed with exit code 1
trunk / test-qnn-optimum-model (fp32, focalnet) / linux-job (gh)
RuntimeError: Command docker exec -t 6921a20a400a2ddfa2a61aae925a9148ff789f654848038e49066dbaa645635e /exec failed with exit code 1
trunk / test-qnn-optimum-model (fp32, mobilevit_v1) / linux-job (gh)
RuntimeError: Command docker exec -t 116acb21d5d0efe0743505a5c328f125f5204c1ac95e8fb8e9aab12f05d77bc1 /exec failed with exit code 1
trunk / test-qnn-optimum-model (fp32, mobilevit_v2) / linux-job (gh)
RuntimeError: Command docker exec -t 83b6937b0210c15caf869ad51ec27452669aa996ae9d7d8da61aeb287111432a /exec failed with exit code 1
trunk / test-qnn-optimum-model (fp32, pvt) / linux-job (gh)
RuntimeError: Command docker exec -t 8c1039432e0e3c2c190c273b54b52bfd9221cbde8ded9339e3f758a8a0cf06f5 /exec failed with exit code 1
trunk / test-qnn-optimum-model (fp32, roberta) / linux-job (gh)
RuntimeError: Command docker exec -t f323d290ebe8fd26ff9d56d098d4c63b3df6db30b2bbfda98fa150f8ea95218a /exec failed with exit code 1
trunk / test-qnn-optimum-model (fp32, swin) / linux-job (gh)
RuntimeError: Command docker exec -t 18ec9c77c8a803572e9ca4cda564f6cede998629de9af47aafe7750e43f3d7a6 /exec failed with exit code 1
trunk / test-selective-build-macos (cmake) / macos-job (gh)
RuntimeError: Command bash /Users/ec2-user/runner/_work/_temp/exec_script failed with exit code 1
trunk / test-static-llama-ane / macos-job (gh)
RuntimeError: Command bash /Users/ec2-user/runner/_work/_temp/exec_script failed with exit code 1
trunk / unittest-release / linux / linux-job (gh)
RuntimeError: Command docker exec -t 5c19c7169ca9d0fbdffdd458b470279020818c6feaa08cf1427628e2c73ba26f /exec failed with exit code 1
trunk / unittest-release / macos / macos-job (gh)
RuntimeError: Command bash /Users/ec2-user/runner/_work/_temp/exec_script failed with exit code 1

BROKEN TRUNK - The following job failed but were present on the merge base:

👉 Rebase onto the `viable/strict` branch to avoid these failures

trunk / test-coreml-delegate / macos-job (gh) (trunk failure)
RuntimeError: Command bash /Users/runner/work/_temp/exec_script failed with exit code 1

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facebook-github-bot · 2025-08-27T19:50:27Z

This pull request was exported from Phabricator. Differential Revision: D80992066

github-actions · 2025-08-27T19:50:59Z

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Summary: When generating the wheel packages - download the qnn sdk such that we can build the qnn backend - remove the downloaded sdk files so it won't be part of wheel packages Inside the qnn packages, it includes the AoT part and the the qnn backend.so files (the build from executorch/backends/qualcomm) For users: ``` # This step will install qnn backend pip install executorch-0.8.0a0+e5f94da-cp310-cp310-linux_x86_64.whl # The qnn sdk will be downloaded when users first , if the QNN_SDK_ROOT is not set. This step will only run once from executorch.backend.qualcomm import any module ``` Rollback Plan: Differential Revision: D80992066

facebook-github-bot · 2025-08-27T22:56:46Z

This pull request was exported from Phabricator. Differential Revision: D80992066

Summary: When generating the wheel packages - download the qnn sdk such that we can build the qnn backend - remove the downloaded sdk files so it won't be part of wheel packages Inside the qnn packages, it includes the AoT part and the the qnn backend.so files (the build from executorch/backends/qualcomm) For users: ``` # This step will install qnn backend pip install executorch-0.8.0a0+e5f94da-cp310-cp310-linux_x86_64.whl # The qnn sdk will be downloaded when users first , if the QNN_SDK_ROOT is not set. This step will only run once from executorch.backend.qualcomm import any module ``` Rollback Plan: Differential Revision: D80992066

facebook-github-bot · 2025-08-27T23:05:47Z

This pull request was exported from Phabricator. Differential Revision: D80992066

Summary: When generating the wheel packages - download the qnn sdk such that we can build the qnn backend - remove the downloaded sdk files so it won't be part of wheel packages Inside the qnn packages, it includes the AoT part and the the qnn backend.so files (the build from executorch/backends/qualcomm) For users: ``` # This step will install qnn backend pip install executorch-0.8.0a0+e5f94da-cp310-cp310-linux_x86_64.whl # The qnn sdk will be downloaded when users first , if the QNN_SDK_ROOT is not set. This step will only run once from executorch.backend.qualcomm import any module ``` Rollback Plan: Differential Revision: D80992066

facebook-github-bot · 2025-08-28T07:03:11Z

This pull request was exported from Phabricator. Differential Revision: D80992066

Summary: When generating the wheel packages - download the qnn sdk such that we can build the qnn backend - remove the downloaded sdk files so it won't be part of wheel packages Inside the qnn packages, it includes the AoT part and the the qnn backend.so files (the build from executorch/backends/qualcomm) For users: ``` # This step will install qnn backend pip install executorch-0.8.0a0+e5f94da-cp310-cp310-linux_x86_64.whl # The qnn sdk will be downloaded when users first , if the QNN_SDK_ROOT is not set. This step will only run once from executorch.backend.qualcomm import any module ``` Rollback Plan: Differential Revision: D80992066

facebook-github-bot · 2025-08-28T07:13:02Z

This pull request was exported from Phabricator. Differential Revision: D80992066

Summary: When generating the wheel packages - download the qnn sdk such that we can build the qnn backend - remove the downloaded sdk files so it won't be part of wheel packages Inside the qnn packages, it includes the AoT part and the the qnn backend.so files (the build from executorch/backends/qualcomm) For users: ``` # This step will install qnn backend pip install executorch-0.8.0a0+e5f94da-cp310-cp310-linux_x86_64.whl # The qnn sdk will be downloaded when users first , if the QNN_SDK_ROOT is not set. This step will only run once from executorch.backend.qualcomm import any module ``` Rollback Plan: Differential Revision: D80992066

facebook-github-bot · 2025-08-28T17:25:57Z

This pull request was exported from Phabricator. Differential Revision: D80992066

cccclai · 2025-09-02T19:13:50Z

Use #13794 instead

meta-cla bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Aug 27, 2025

facebook-github-bot added the fb-exported label Aug 27, 2025

cccclai marked this pull request as draft August 27, 2025 19:54

cccclai force-pushed the export-D80992066 branch from 862bbbb to 8964cfd Compare August 27, 2025 22:56

cccclai force-pushed the export-D80992066 branch from 8964cfd to 24aa6ec Compare August 27, 2025 23:05

cccclai force-pushed the export-D80992066 branch from 24aa6ec to 47ad8ca Compare August 28, 2025 07:03

cccclai force-pushed the export-D80992066 branch from 47ad8ca to e6fcc37 Compare August 28, 2025 07:12

cccclai force-pushed the export-D80992066 branch from e6fcc37 to 010c3b4 Compare August 28, 2025 17:25

cccclai mentioned this pull request Aug 28, 2025

Simplify qualcomm qnn backend setup #13766

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Add qnn backend to pip package #13733

Add qnn backend to pip package #13733

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Add qnn backend to pip package #13733

Add qnn backend to pip package #13733

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/13733

❌ 122 New Failures, 1 Unrelated Failure

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