onnxruntime/tools/python/run_CIs_for_branch.py
Ashrit Shetty 4b5b5f7101
Update win-ort-main to tip main 250123 (#23473)
### Description
This PR is to update the win-ort-main branch to the tip main branch as
of 2025-01-23.

### PR List
ddf0d377a7 [QNN EP] Add LoggingManager::HasDefaultLogger() to provider
bridge API (#23467)
05fbbdf91f [QNN EP] Make QNN EP a shared library (#23120)
1336566d7f Add custom vcpkg ports (#23456)
2e1173c411 Update the compile flags for vcpkg packages (#23455)
1f628a9858 [Mobile] Add BrowserStack Android MAUI Test (#23383)
009cae0ec8 [js/webgpu] Optimize ConvTranspose (Continue) (#23429)
04a4a694cb Use onnx_protobuf.h to suppress some GCC warnings (#23453)
2e3b62b4b0 Suppress some strict-aliasing related warnings in WebGPU EP
(#23454)
b708f9b1dc Bump ruff from 0.9.1 to 0.9.2 (#23427)
c0afc66b2a [WebNN] Remove workarounds for TFLite backend (#23406)
8a821ff7f9 Bump vite from 6.0.7 to 6.0.11 in
/js/web/test/e2e/exports/testcases/vite-default (#23446)
220c1a203e Make ORT and Dawn use the same protobuf/abseil source code
(#23447)
b7b5792147 Change MacOS-13 to ubuntu on for
android-java-api-aar-test.yml. (#23444)
19d0d2a30f WIP: Dp4MatMulNBits accuracy level 4 matmul for WebGPU EP
(#23365)
95b8effbc4 [QNN EP]: Clean up QNN logging resources if an error occurs
during initialization (#23435)
626134c5b5 Bump clang-format from 19.1.6 to 19.1.7 (#23428)
0cf975301f Fix eigen external deps (#23439)
f9440aedce Moving RN_CI Android Testing to Linux (#23422)
1aa5902ff4 [QNN EP] workaround for QNN validation bug for Tanh with
uint16 quantized output (#23432)
7f5582a0e2 Seperate RN andriod and IOS into 2 separated Stages. (#23400)
73deac2e7f Implement some missing element wise Add/Sub/Mul/Div/Neg
operations for CPU and CUDA EPs (#23090)
949fe42af4 Upgrade Java version from react-native/android to Java 17
(#23066)
0892c23463 Update Qnn SDK default version to 2.30 (#23411)
94c099bcec Fix type cast build error (#23423)
d633e571d1 [WebNN EP] Fix AddInitializersToSkip issues (#23354)
e988ef00e2 [QNN EP] Fix regression for MatMul with two quantized/dynamic
uint16 inputs (#23419)
7538795f6b Update onnxruntime binary size checks ci pipeline's docker
image (#23405)
6c5ea41cad Revert "[QNN EP] Clean up correctly from a partial setup
(#23320)" (#23420)
e866804bbe Enable comprehension simplification in ruff rules (#23414)
0a5f1f392c bugfix: string_view of invalid memory (#23417)
4cc38e0277 fix crash when first input of BatchNormalization is 1-D
(#23387)
033441487f Target py310 and modernize codebase with ruff (#23401)
87341ac010 [QNN EP] Fix segfault when unregistering HTP shared memory
handles (#23402)

### Motivation and Context
This update includes the change to make QNN-EP a shared library.

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: Adrian Lizarraga <adlizarraga@microsoft.com>
Co-authored-by: Justin Chu <justinchuby@users.noreply.github.com>
Co-authored-by: Yulong Wang <7679871+fs-eire@users.noreply.github.com>
Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com>
Co-authored-by: Changming Sun <chasun@microsoft.com>
Co-authored-by: Peishen Yan <peishen.yan@intel.com>
Co-authored-by: Tianlei Wu <tlwu@microsoft.com>
Co-authored-by: Hector Li <hecli@microsoft.com>
Co-authored-by: Jian Chen <cjian@microsoft.com>
Co-authored-by: Alexis Tsogias <1114095+Zyrin@users.noreply.github.com>
Co-authored-by: junchao-zhao <68935141+junchao-loongson@users.noreply.github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: sushraja-msft <44513542+sushraja-msft@users.noreply.github.com>
Co-authored-by: Wanming Lin <wanming.lin@intel.com>
Co-authored-by: Jiajia Qin <jiajiaqin@microsoft.com>
Co-authored-by: Caroline Zhu <wolfivyaura@gmail.com>
2025-01-23 09:12:03 -08:00

153 lines
5.1 KiB
Python

#!/usr/bin/env python3
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
from __future__ import annotations
import argparse
import json
import os
import subprocess
import sys
from run_CIs_for_external_pr import get_pipeline_names
from util.platform_helpers import is_windows
class DefaultArgsRawHelpFormatter(argparse.ArgumentDefaultsHelpFormatter, argparse.RawDescriptionHelpFormatter):
pass
def _parse_args():
parser = argparse.ArgumentParser(
os.path.basename(__file__),
formatter_class=DefaultArgsRawHelpFormatter,
description="""Run the CIs used to validate PRs for the specified branch.
If not specified, the branch will be inferred (if possible) by running `git branch --show-current`.
If specified, the `--include` filter is applied first, followed by any `--exclude` filter.
`--include` and `--exclude` can be specified multiple times to accumulate values to include/exclude.
Requires the Azure CLI with DevOps extension to be installed.
Azure CLI: https://learn.microsoft.com/en-us/cli/azure/install-azure-cli
DevOps extension: https://github.com/Azure/azure-devops-cli-extension
Configuration:
Login:`az login`
Configure ORT repo as default:
`az devops configure --defaults organization=https://dev.azure.com/onnxruntime project=onnxruntime`
Example usage:
List all CIs
`python run_CIs_for_branch.py --dry-run my/BranchName`
Run all CIs
`python run_CIs_for_branch.py my/BranchName`
Run only Linux CIs
`python run_CIs_for_branch.py --include linux my/BranchName`
Exclude training CIs
`python run_CIs_for_branch.py --exclude training my/BranchName`
Run non-training Linux CIs
`python run_CIs_for_branch.py --include linux --exclude training my/BranchName`
""",
)
current_branch = None
get_branch_result = subprocess.run(["git", "branch", "--show-current"], capture_output=True, text=True, check=False)
if get_branch_result.returncode == 0:
current_branch = get_branch_result.stdout.strip()
parser.add_argument(
"-i", "--include", action="append", type=str, help="Include CIs that match this string. Case insensitive."
)
parser.add_argument(
"-e", "--exclude", action="append", type=str, help="Exclude CIs that match this string. Case insensitive."
)
parser.add_argument("--dry-run", action="store_true", help="Print selected CIs but do not run them.")
parser.add_argument(
"branch",
type=str,
nargs="?",
default=current_branch,
help="Specify the branch to run. Default is current branch if available.",
)
args = parser.parse_args()
if not args.branch:
raise ValueError("Branch was unable to be inferred and must be specified")
return args
def _run_az_pipelines_command(command: list[str]):
try:
az = "az.cmd" if is_windows() else "az"
az_output = subprocess.run([az, "pipelines", *command], capture_output=True, text=True, check=True)
except subprocess.CalledProcessError as cpe:
print(cpe)
print(cpe.stderr)
sys.exit(-1)
return az_output
def main():
args = _parse_args()
branch = args.branch
# To debug available pipelines:
# az_out = az_pipelines = _run_az_pipelines_command(["list"])
# pipeline_info = json.loads(az_out.stdout)
# print(pipeline_info)
pipelines = get_pipeline_names()
pipelines_to_run = []
if args.include:
values = [i.lower().strip() for i in args.include]
for p in pipelines:
include = False
for value in values:
if value in p.lower():
include = True
break
if include:
print(f"Including {p}")
pipelines_to_run.append(p)
else:
pipelines_to_run = pipelines
if args.exclude:
values = [e.lower().strip() for e in args.exclude]
cur_pipelines = pipelines_to_run
pipelines_to_run = []
for p in cur_pipelines:
exclude = False
for value in values:
if value in p.lower():
exclude = True
break
if exclude:
print(f"Excluding {p}")
else:
pipelines_to_run.append(p)
print(f"Pipelines to run for {args.branch}:")
for p in pipelines_to_run:
print(f"\t{p}")
if args.dry_run:
sys.exit(0)
for pipeline in pipelines_to_run:
az_out = _run_az_pipelines_command(["run", "--branch", branch, "--name", pipeline])
run_output = json.loads(az_out.stdout)
if "id" in run_output:
build_url = f"https://dev.azure.com/onnxruntime/onnxruntime/_build/results?buildId={run_output['id']}"
print(f"{pipeline} build results: {build_url}&view=results")
else:
raise ValueError("Build id was not found in az output:\n" + run_output)
if __name__ == "__main__":
main()