Narendasan/test dx#4376
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There are some changes that do not conform to Python style guidelines:
--- /home/runner/work/TensorRT/TensorRT/tests/ci/__main__.py 2026-06-30 21:51:41.118493+00:00
+++ /home/runner/work/TensorRT/TensorRT/tests/ci/__main__.py 2026-06-30 21:52:03.788259+00:00
@@ -1,12 +1,12 @@
"""CLI for the test-suite manifest: python -m tests.ci {list,show,run,matrix,doctor}
- list all suites, tiers, lanes, variants
- show <name> a suite's resolved command per variant
- run <name> [opts] [-- ...] run one suite (the call CI + just both make)
- matrix [--lane|--tier] JSON matrix `include` for GitHub Actions
- doctor validate the manifest (CI lints this)
+list all suites, tiers, lanes, variants
+show <name> a suite's resolved command per variant
+run <name> [opts] [-- ...] run one suite (the call CI + just both make)
+matrix [--lane|--tier] JSON matrix `include` for GitHub Actions
+doctor validate the manifest (CI lints this)
"""
from __future__ import annotations
import argparse
@@ -17,16 +17,22 @@
from .suites import SUITES, by_name
def _cmd_list(_: argparse.Namespace) -> int:
width = max(len(s.name) for s in SUITES)
- print(f"{'SUITE'.ljust(width)} TIER LANES VARIANTS PLATFORMS")
+ print(
+ f"{'SUITE'.ljust(width)} TIER LANES VARIANTS PLATFORMS"
+ )
for s in SUITES:
- print(f"{s.name.ljust(width)} {s.tier:<4} "
- f"{','.join(s.lanes):<21} {','.join(s.variants):<15} {','.join(s.platforms)}")
- print(f"\n{len(SUITES)} suites. "
- f"Run one: python -m tests.ci run <suite> (or `just suite <suite>`)")
+ print(
+ f"{s.name.ljust(width)} {s.tier:<4} "
+ f"{','.join(s.lanes):<21} {','.join(s.variants):<15} {','.join(s.platforms)}"
+ )
+ print(
+ f"\n{len(SUITES)} suites. "
+ f"Run one: python -m tests.ci run <suite> (or `just suite <suite>`)"
+ )
return 0
def _cmd_show(args: argparse.Namespace) -> int:
s = by_name(args.name)
@@ -39,36 +45,41 @@
def _cmd_run(args: argparse.Namespace) -> int:
s = by_name(args.name)
variants = [args.variant] if args.variant else list(s.variants)
if args.variant and args.variant not in s.variants:
- print(f"::warning::{s.name} does not run on variant {args.variant!r}; "
- f"it runs on {s.variants}", file=sys.stderr)
+ print(
+ f"::warning::{s.name} does not run on variant {args.variant!r}; "
+ f"it runs on {s.variants}",
+ file=sys.stderr,
+ )
return 0
rc = 0
for var in variants:
rc = run_suite(s, var, dry_run=args.dry_run, extra=args.pytest_args) or rc
return rc
def _cmd_run_lane(args: argparse.Namespace) -> int:
"""Run every suite in a lane/tier, continuing past failures (so one consolidated
report sees them all). Returns non-zero if any suite failed."""
- jobs = select(lane=args.lane, tier=args.tier, variant=args.variant,
- platform=args.platform)
+ jobs = select(
+ lane=args.lane, tier=args.tier, variant=args.variant, platform=args.platform
+ )
if not jobs:
print("::warning::no suites match the given filters", file=sys.stderr)
return 0
rc = 0
for s, var in jobs:
rc = run_suite(s, var, dry_run=args.dry_run) or rc
return rc
def _cmd_matrix(args: argparse.Namespace) -> int:
- include = matrix(lane=args.lane, tier=args.tier, variant=args.variant,
- platform=args.platform)
+ include = matrix(
+ lane=args.lane, tier=args.tier, variant=args.variant, platform=args.platform
+ )
if not include:
print("::warning::matrix is empty for the given filters", file=sys.stderr)
print(json.dumps({"include": include}))
return 0
@@ -109,12 +120,14 @@
if problems:
for p in problems:
print(f"✗ {p}", file=sys.stderr)
print(f"\n{len(problems)} manifest problem(s).", file=sys.stderr)
return 1
- print(f"✓ manifest OK — {len(SUITES)} suites, "
- f"{len(set(junits))} unique junit paths, no collisions.")
+ print(
+ f"✓ manifest OK — {len(SUITES)} suites, "
+ f"{len(set(junits))} unique junit paths, no collisions."
+ )
return 0
def main(argv: list[str] | None = None) -> int:
p = argparse.ArgumentParser(prog="python -m tests.ci", description=__doc__)
@@ -127,16 +140,23 @@
sp.set_defaults(fn=_cmd_show)
sp = sub.add_parser("run", help="run one suite")
sp.add_argument("name")
sp.add_argument("--variant", choices=("standard", "rtx"))
- sp.add_argument("--dry-run", action="store_true", help="print the command, don't run")
- sp.add_argument("pytest_args", nargs="*", help="extra args forwarded to pytest "
- "(use `-- -k foo`)")
+ sp.add_argument(
+ "--dry-run", action="store_true", help="print the command, don't run"
+ )
+ sp.add_argument(
+ "pytest_args",
+ nargs="*",
+ help="extra args forwarded to pytest " "(use `-- -k foo`)",
+ )
sp.set_defaults(fn=_cmd_run)
- sp = sub.add_parser("run-lane", help="run every suite in a lane/tier, past failures")
+ sp = sub.add_parser(
+ "run-lane", help="run every suite in a lane/tier, past failures"
+ )
g = sp.add_mutually_exclusive_group()
g.add_argument("--lane", choices=("fast", "full", "nightly", "python-only"))
g.add_argument("--tier", choices=("l0", "l1", "l2"))
sp.add_argument("--variant", choices=("standard", "rtx"))
sp.add_argument("--platform", choices=("linux-x86_64", "windows"))
--- /home/runner/work/TensorRT/TensorRT/tests/ci/runner.py 2026-06-30 21:51:41.118493+00:00
+++ /home/runner/work/TensorRT/TensorRT/tests/ci/runner.py 2026-06-30 21:52:03.844831+00:00
@@ -22,13 +22,18 @@
)
# Known transient cudagraph/TRT-driver flake signatures. Expand ONLY with
# concrete evidence — a broad regex hides real bugs.
_RERUN_ARGS = [
- "--reruns", "1", "--reruns-delay", "5",
- "--only-rerun", "cudaErrorStreamCaptureInvalidated",
- "--only-rerun", "Stream capture invalidated",
+ "--reruns",
+ "1",
+ "--reruns-delay",
+ "5",
+ "--only-rerun",
+ "cudaErrorStreamCaptureInvalidated",
+ "--only-rerun",
+ "Stream capture invalidated",
]
def _launcher() -> list[str]:
"""The python/pytest launcher. CI leaves PYTHON unset (-> container python);
@@ -110,18 +115,35 @@
"""(argv, cwd) pairs for a named setup step."""
launcher = _launcher()
if step == "hub":
return [(launcher + ["hub.py"], REPO_ROOT / "tests/modules")]
if step == "executorch":
- return [(launcher + ["-m", "pip", "install", "pyyaml", "executorch>=1.3.1"],
- REPO_ROOT)]
+ return [
+ (
+ launcher + ["-m", "pip", "install", "pyyaml", "executorch>=1.3.1"],
+ REPO_ROOT,
+ )
+ ]
if step == "cuda-core":
- return [(launcher + ["-m", "pip", "install", "cuda-python", "cuda-core"],
- REPO_ROOT)]
+ return [
+ (launcher + ["-m", "pip", "install", "cuda-python", "cuda-core"], REPO_ROOT)
+ ]
if step == "mpi":
- return [(["dnf", "install", "-y", "mpich", "mpich-devel",
- "openmpi", "openmpi-devel"], REPO_ROOT)]
+ return [
+ (
+ [
+ "dnf",
+ "install",
+ "-y",
+ "mpich",
+ "mpich-devel",
+ "openmpi",
+ "openmpi-devel",
+ ],
+ REPO_ROOT,
+ )
+ ]
raise KeyError(f"unknown setup step {step!r} in a suite definition")
def describe(suite: Suite, variant: Variant) -> str:
"""The full command line, for --dry-run / show (quoting-safe display)."""
@@ -148,11 +170,13 @@
process exit code (non-zero on first failure), mirroring the bash tiers."""
v = suite.for_variant(variant)
extra = extra or []
env = {**os.environ, **{k: str(val) for k, val in v["env"].items()}}
cwd = REPO_ROOT / v["cwd"]
- pytest_cmd = _launcher() + ["-m", "pytest"] + build_pytest_args(suite, variant) + extra
+ pytest_cmd = (
+ _launcher() + ["-m", "pytest"] + build_pytest_args(suite, variant) + extra
+ )
if dry_run:
print(describe(suite, variant))
if extra:
print(f" # + extra pytest args: {shlex.join(extra)}")
@@ -166,14 +190,19 @@
print(f"::warning::setup step {step!r} exited {rc}", flush=True)
print(f"==> {suite.name} [{variant}]: {shlex.join(pytest_cmd)}", flush=True)
rc = subprocess.run(pytest_cmd, cwd=cwd, env=env).returncode
if rc != 0:
- repro = shlex.join(["uv", "run", "--no-sync", "pytest"]
- + build_pytest_args(suite, variant) + extra)
- print(f"::warning::{suite.name} failed. Reproduce: cd {v['cwd']} && {repro}",
- flush=True)
+ repro = shlex.join(
+ ["uv", "run", "--no-sync", "pytest"]
+ + build_pytest_args(suite, variant)
+ + extra
+ )
+ print(
+ f"::warning::{suite.name} failed. Reproduce: cd {v['cwd']} && {repro}",
+ flush=True,
+ )
return rc
for f in v["follow"]:
fcmd = _launcher() + list(f)
print(f"==> {suite.name} follow: {shlex.join(fcmd)}", flush=True)
@@ -209,9 +238,13 @@
def matrix(**filters: str | None) -> list[dict[str, str]]:
"""GitHub-Actions matrix ``include`` entries for the selected jobs."""
return [
- {"suite": s.name, "variant": var, "tier": s.tier,
- "cwd": s.for_variant(var)["cwd"]}
+ {
+ "suite": s.name,
+ "variant": var,
+ "tier": s.tier,
+ "cwd": s.for_variant(var)["cwd"],
+ }
for s, var in select(**filters)
]
--- /home/runner/work/TensorRT/TensorRT/tests/ci/suites.py 2026-06-30 21:51:41.118493+00:00
+++ /home/runner/work/TensorRT/TensorRT/tests/ci/suites.py 2026-06-30 21:52:03.892690+00:00
@@ -54,172 +54,286 @@
"""
name: str
tier: Tier
lanes: tuple[Lane, ...]
- cwd: str = "tests/py/dynamo" # relative to repo root
- paths: tuple[str, ...] = () # pytest positionals (rel to cwd); globs ok
- markers: str | None = None # -m EXPR
- keyword: str | None = None # -k EXPR
- dist: str | None = None # --dist=loadscope
- maxfail: int | None = None # --maxfail=N
- ir: str | None = None # --ir torch_compile
- jobs: str | None = None # xdist default: None=serial, "8"/"auto"/"4"
- reruns: bool = True # wrap in the flake-rerun helper
- verbose: bool = False # -v
+ cwd: str = "tests/py/dynamo" # relative to repo root
+ paths: tuple[str, ...] = () # pytest positionals (rel to cwd); globs ok
+ markers: str | None = None # -m EXPR
+ keyword: str | None = None # -k EXPR
+ dist: str | None = None # --dist=loadscope
+ maxfail: int | None = None # --maxfail=N
+ ir: str | None = None # --ir torch_compile
+ jobs: str | None = None # xdist default: None=serial, "8"/"auto"/"4"
+ reruns: bool = True # wrap in the flake-rerun helper
+ verbose: bool = False # -v
variants: tuple[Variant, ...] = ALL_VARIANTS
- platforms: tuple[Platform, ...] = ALL_PLATFORMS # channels this suite runs on
- setup: tuple[str, ...] = () # named pre-steps: hub|executorch|cuda-core|mpi
- follow: tuple[tuple[str, ...], ...] = () # extra argv to run AFTER pytest
+ platforms: tuple[Platform, ...] = ALL_PLATFORMS # channels this suite runs on
+ setup: tuple[str, ...] = () # named pre-steps: hub|executorch|cuda-core|mpi
+ follow: tuple[tuple[str, ...], ...] = () # extra argv to run AFTER pytest
env: dict[str, str] = field(default_factory=dict)
overrides: dict[str, dict[str, Any]] = field(default_factory=dict) # per-variant
def for_variant(self, variant: Variant) -> dict[str, Any]:
"""This suite's effective fields for ``variant`` (applies overrides)."""
- base = {f: getattr(self, f) for f in (
- "cwd", "paths", "markers", "keyword", "dist", "maxfail",
- "ir", "jobs", "reruns", "verbose", "setup", "follow", "env",
- )}
+ base = {
+ f: getattr(self, f)
+ for f in (
+ "cwd",
+ "paths",
+ "markers",
+ "keyword",
+ "dist",
+ "maxfail",
+ "ir",
+ "jobs",
+ "reruns",
+ "verbose",
+ "setup",
+ "follow",
+ "env",
+ )
+ }
base.update(self.overrides.get(variant, {}))
return base
# ── L0 — smoke / fast lane ────────────────────────────────────────────────────
_L0: list[Suite] = [
Suite(
- "dynamo-converters", tier="l0", lanes=("fast", "full"),
- paths=("conversion/",), dist="--dist=loadscope", maxfail=20, jobs="8",
+ "dynamo-converters",
+ tier="l0",
+ lanes=("fast", "full"),
+ paths=("conversion/",),
+ dist="--dist=loadscope",
+ maxfail=20,
+ jobs="8",
# RTX does not shard converters with loadscope.
overrides={"rtx": {"dist": None}},
),
Suite(
- "dynamo-runtime-smoke", tier="l0", lanes=("fast", "full"),
- paths=("runtime/test_000_*",), jobs="8",
- ),
- Suite(
- "dynamo-partitioning-smoke", tier="l0", lanes=("fast", "full"),
- paths=("partitioning/test_000_*",), jobs="8",
+ "dynamo-runtime-smoke",
+ tier="l0",
+ lanes=("fast", "full"),
+ paths=("runtime/test_000_*",),
+ jobs="8",
+ ),
+ Suite(
+ "dynamo-partitioning-smoke",
+ tier="l0",
+ lanes=("fast", "full"),
+ paths=("partitioning/test_000_*",),
+ jobs="8",
# RTX runs the whole partitioning suite (no smoke subset split).
overrides={"rtx": {"paths": ("partitioning/",)}},
),
Suite(
- "dynamo-lowering", tier="l0", lanes=("fast", "full"),
- paths=("lowering/",), jobs="8",
- ),
- Suite(
- "py-core", tier="l0", lanes=("fast", "full"),
- cwd="tests/py/core", paths=(".",), jobs="8",
- ),
- Suite(
- "ts-api", tier="l0", lanes=("fast", "full"),
- cwd="tests/py/ts", paths=("api/",), setup=("hub",), variants=("standard",),
+ "dynamo-lowering",
+ tier="l0",
+ lanes=("fast", "full"),
+ paths=("lowering/",),
+ jobs="8",
+ ),
+ Suite(
+ "py-core",
+ tier="l0",
+ lanes=("fast", "full"),
+ cwd="tests/py/core",
+ paths=(".",),
+ jobs="8",
+ ),
+ Suite(
+ "ts-api",
+ tier="l0",
+ lanes=("fast", "full"),
+ cwd="tests/py/ts",
+ paths=("api/",),
+ setup=("hub",),
+ variants=("standard",),
),
]
# ── L1 — critical-path / full lane ────────────────────────────────────────────
_L1: list[Suite] = [
Suite(
- "dynamo-runtime", tier="l1", lanes=("full",),
- paths=("runtime/test_001_*",), jobs="8",
- ),
- Suite(
- "dynamo-partitioning", tier="l1", lanes=("full",),
- paths=("partitioning/test_001_*",), jobs="8", variants=("standard",),
+ "dynamo-runtime",
+ tier="l1",
+ lanes=("full",),
+ paths=("runtime/test_001_*",),
+ jobs="8",
+ ),
+ Suite(
+ "dynamo-partitioning",
+ tier="l1",
+ lanes=("full",),
+ paths=("partitioning/test_001_*",),
+ jobs="8",
+ variants=("standard",),
),
Suite(
# Was run in BOTH l0_core (std) and l1_dynamo_core (both) — deduped to once.
- "dynamo-hlo", tier="l1", lanes=("full",),
- paths=("hlo/",), jobs="8",
- ),
- Suite(
- "dynamo-models-critical", tier="l1", lanes=("full",),
- paths=("models/",), markers="critical",
- ),
- Suite(
- "torch-compile-backend", tier="l1", lanes=("full",),
+ "dynamo-hlo",
+ tier="l1",
+ lanes=("full",),
+ paths=("hlo/",),
+ jobs="8",
+ ),
+ Suite(
+ "dynamo-models-critical",
+ tier="l1",
+ lanes=("full",),
+ paths=("models/",),
+ markers="critical",
+ ),
+ Suite(
+ "torch-compile-backend",
+ tier="l1",
+ lanes=("full",),
paths=("backend/",),
),
Suite(
- "torch-compile-models-critical", tier="l1", lanes=("full",),
+ "torch-compile-models-critical",
+ tier="l1",
+ lanes=("full",),
paths=("models/test_models.py", "models/test_dyn_models.py"),
- markers="critical", ir="torch_compile",
- ),
- Suite(
- "ts-models", tier="l1", lanes=("full",),
- cwd="tests/py/ts", paths=("models/",), setup=("hub",), variants=("standard",),
+ markers="critical",
+ ir="torch_compile",
+ ),
+ Suite(
+ "ts-models",
+ tier="l1",
+ lanes=("full",),
+ cwd="tests/py/ts",
+ paths=("models/",),
+ setup=("hub",),
+ variants=("standard",),
),
]
# ── L2 — exhaustive / full + nightly ──────────────────────────────────────────
_L2: list[Suite] = [
Suite(
- "torch-compile-models", tier="l2", lanes=("full", "nightly"),
+ "torch-compile-models",
+ tier="l2",
+ lanes=("full", "nightly"),
paths=("models/test_models.py", "models/test_dyn_models.py"),
- markers="not critical", ir="torch_compile", jobs="auto",
- ),
- Suite(
- "dynamo-models", tier="l2", lanes=("full", "nightly"),
- paths=("models/",), markers="not critical", jobs="auto",
- ),
- Suite(
- "dynamo-llm", tier="l2", lanes=("nightly",),
- paths=("llm/",), jobs="auto",
- ),
- Suite(
- "dynamo-runtime-full", tier="l2", lanes=("full", "nightly"),
- paths=("runtime/",), keyword="not test_000_ and not test_001_", jobs="auto",
- ),
- Suite(
- "executorch", tier="l2", lanes=("nightly",),
- paths=("executorch/",), setup=("executorch",), jobs="auto",
- variants=("standard",), platforms=("linux-x86_64",),
+ markers="not critical",
+ ir="torch_compile",
+ jobs="auto",
+ ),
+ Suite(
+ "dynamo-models",
+ tier="l2",
+ lanes=("full", "nightly"),
+ paths=("models/",),
+ markers="not critical",
+ jobs="auto",
+ ),
+ Suite(
+ "dynamo-llm",
+ tier="l2",
+ lanes=("nightly",),
+ paths=("llm/",),
+ jobs="auto",
+ ),
+ Suite(
+ "dynamo-runtime-full",
+ tier="l2",
+ lanes=("full", "nightly"),
+ paths=("runtime/",),
+ keyword="not test_000_ and not test_001_",
+ jobs="auto",
+ ),
+ Suite(
+ "executorch",
+ tier="l2",
+ lanes=("nightly",),
+ paths=("executorch/",),
+ setup=("executorch",),
+ jobs="auto",
+ variants=("standard",),
+ platforms=("linux-x86_64",),
),
Suite(
# Standard: the automatic-plugin trio. RTX: the whole automatic_plugin dir.
# (The redundant conversion/ re-run from the old l2_plugin is dropped.)
- "plugins-automatic", tier="l2", lanes=("nightly",), jobs="auto",
+ "plugins-automatic",
+ tier="l2",
+ lanes=("nightly",),
+ jobs="auto",
paths=(
"automatic_plugin/test_automatic_plugin.py",
"automatic_plugin/test_automatic_plugin_with_attrs.py",
"automatic_plugin/test_flashinfer_rmsnorm.py",
),
overrides={"rtx": {"paths": ("automatic_plugin/",)}},
),
Suite(
- "kernels", tier="l2", lanes=("nightly",),
- cwd="tests/py/kernels", paths=(".",), setup=("cuda-core",), jobs="auto",
- variants=("standard",), platforms=("linux-x86_64",),
- ),
- Suite(
- "ts-integrations", tier="l2", lanes=("nightly",),
- cwd="tests/py/ts", paths=("integrations/",), setup=("hub",), jobs="auto",
- variants=("standard",),
- ),
- Suite(
- "distributed", tier="l2", lanes=("nightly",),
+ "kernels",
+ tier="l2",
+ lanes=("nightly",),
+ cwd="tests/py/kernels",
+ paths=(".",),
+ setup=("cuda-core",),
+ jobs="auto",
+ variants=("standard",),
+ platforms=("linux-x86_64",),
+ ),
+ Suite(
+ "ts-integrations",
+ tier="l2",
+ lanes=("nightly",),
+ cwd="tests/py/ts",
+ paths=("integrations/",),
+ setup=("hub",),
+ jobs="auto",
+ variants=("standard",),
+ ),
+ Suite(
+ "distributed",
+ tier="l2",
+ lanes=("nightly",),
paths=(
"distributed/test_nccl_ops.py",
"distributed/test_native_nccl.py",
"distributed/test_export_save_load.py",
),
- jobs="auto", verbose=True, reruns=False, variants=("standard",),
- platforms=("linux-x86_64",), setup=("mpi",),
+ jobs="auto",
+ verbose=True,
+ reruns=False,
+ variants=("standard",),
+ platforms=("linux-x86_64",),
+ setup=("mpi",),
env={"USE_HOST_DEPS": "1", "CI_BUILD": "1", "USE_TRTLLM_PLUGINS": "1"},
follow=(
- ("-m", "torch_tensorrt.distributed.run", "--nproc_per_node=2",
- "distributed/test_native_nccl.py", "--multirank"),
- ("-m", "torch_tensorrt.distributed.run", "--nproc_per_node=2",
- "distributed/test_export_save_load.py", "--multirank"),
+ (
+ "-m",
+ "torch_tensorrt.distributed.run",
+ "--nproc_per_node=2",
+ "distributed/test_native_nccl.py",
+ "--multirank",
+ ),
+ (
+ "-m",
+ "torch_tensorrt.distributed.run",
+ "--nproc_per_node=2",
+ "distributed/test_export_save_load.py",
+ "--multirank",
+ ),
),
),
]
# ── python-only — validates the PYTHON_ONLY=1 wheel against the runtime suite ──
_PYTHON_ONLY: list[Suite] = [
Suite(
- "python-only-runtime", tier="l1", lanes=("python-only",),
- paths=("runtime/",), jobs="8", variants=("standard",),
+ "python-only-runtime",
+ tier="l1",
+ lanes=("python-only",),
+ paths=("runtime/",),
+ jobs="8",
+ variants=("standard",),
),
]
SUITES: tuple[Suite, ...] = tuple(_L0 + _L1 + _L2 + _PYTHON_ONLY)
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There are some changes that do not conform to Python style guidelines:
--- /home/runner/work/TensorRT/TensorRT/tests/ci/__main__.py 2026-07-01 18:49:37.400379+00:00
+++ /home/runner/work/TensorRT/TensorRT/tests/ci/__main__.py 2026-07-01 18:50:01.703469+00:00
@@ -1,12 +1,12 @@
"""CLI for the test-suite manifest: python -m tests.ci {list,show,run,matrix,doctor}
- list all suites, tiers, lanes, variants
- show <name> a suite's resolved command per variant
- run <name> [opts] [-- ...] run one suite (the call CI + just both make)
- matrix [--lane|--tier] JSON matrix `include` for GitHub Actions
- doctor validate the manifest (CI lints this)
+list all suites, tiers, lanes, variants
+show <name> a suite's resolved command per variant
+run <name> [opts] [-- ...] run one suite (the call CI + just both make)
+matrix [--lane|--tier] JSON matrix `include` for GitHub Actions
+doctor validate the manifest (CI lints this)
"""
from __future__ import annotations
import argparse
@@ -17,16 +17,22 @@
from .suites import SUITES, by_name
def _cmd_list(_: argparse.Namespace) -> int:
width = max(len(s.name) for s in SUITES)
- print(f"{'SUITE'.ljust(width)} TIER LANES VARIANTS PLATFORMS")
+ print(
+ f"{'SUITE'.ljust(width)} TIER LANES VARIANTS PLATFORMS"
+ )
for s in SUITES:
- print(f"{s.name.ljust(width)} {s.tier:<4} "
- f"{','.join(s.lanes):<21} {','.join(s.variants):<15} {','.join(s.platforms)}")
- print(f"\n{len(SUITES)} suites. "
- f"Run one: python -m tests.ci run <suite> (or `just suite <suite>`)")
+ print(
+ f"{s.name.ljust(width)} {s.tier:<4} "
+ f"{','.join(s.lanes):<21} {','.join(s.variants):<15} {','.join(s.platforms)}"
+ )
+ print(
+ f"\n{len(SUITES)} suites. "
+ f"Run one: python -m tests.ci run <suite> (or `just suite <suite>`)"
+ )
return 0
def _cmd_show(args: argparse.Namespace) -> int:
s = by_name(args.name)
@@ -39,36 +45,41 @@
def _cmd_run(args: argparse.Namespace) -> int:
s = by_name(args.name)
variants = [args.variant] if args.variant else list(s.variants)
if args.variant and args.variant not in s.variants:
- print(f"::warning::{s.name} does not run on variant {args.variant!r}; "
- f"it runs on {s.variants}", file=sys.stderr)
+ print(
+ f"::warning::{s.name} does not run on variant {args.variant!r}; "
+ f"it runs on {s.variants}",
+ file=sys.stderr,
+ )
return 0
rc = 0
for var in variants:
rc = run_suite(s, var, dry_run=args.dry_run, extra=args.pytest_args) or rc
return rc
def _cmd_run_lane(args: argparse.Namespace) -> int:
"""Run every suite in a lane/tier, continuing past failures (so one consolidated
report sees them all). Returns non-zero if any suite failed."""
- jobs = select(lane=args.lane, tier=args.tier, variant=args.variant,
- platform=args.platform)
+ jobs = select(
+ lane=args.lane, tier=args.tier, variant=args.variant, platform=args.platform
+ )
if not jobs:
print("::warning::no suites match the given filters", file=sys.stderr)
return 0
rc = 0
for s, var in jobs:
rc = run_suite(s, var, dry_run=args.dry_run) or rc
return rc
def _cmd_matrix(args: argparse.Namespace) -> int:
- include = matrix(lane=args.lane, tier=args.tier, variant=args.variant,
- platform=args.platform)
+ include = matrix(
+ lane=args.lane, tier=args.tier, variant=args.variant, platform=args.platform
+ )
if not include:
print("::warning::matrix is empty for the given filters", file=sys.stderr)
print(json.dumps({"include": include}))
return 0
@@ -109,12 +120,14 @@
if problems:
for p in problems:
print(f"✗ {p}", file=sys.stderr)
print(f"\n{len(problems)} manifest problem(s).", file=sys.stderr)
return 1
- print(f"✓ manifest OK — {len(SUITES)} suites, "
- f"{len(set(junits))} unique junit paths, no collisions.")
+ print(
+ f"✓ manifest OK — {len(SUITES)} suites, "
+ f"{len(set(junits))} unique junit paths, no collisions."
+ )
return 0
def main(argv: list[str] | None = None) -> int:
p = argparse.ArgumentParser(prog="python -m tests.ci", description=__doc__)
@@ -127,16 +140,23 @@
sp.set_defaults(fn=_cmd_show)
sp = sub.add_parser("run", help="run one suite")
sp.add_argument("name")
sp.add_argument("--variant", choices=("standard", "rtx"))
- sp.add_argument("--dry-run", action="store_true", help="print the command, don't run")
- sp.add_argument("pytest_args", nargs="*", help="extra args forwarded to pytest "
- "(use `-- -k foo`)")
+ sp.add_argument(
+ "--dry-run", action="store_true", help="print the command, don't run"
+ )
+ sp.add_argument(
+ "pytest_args",
+ nargs="*",
+ help="extra args forwarded to pytest " "(use `-- -k foo`)",
+ )
sp.set_defaults(fn=_cmd_run)
- sp = sub.add_parser("run-lane", help="run every suite in a lane/tier, past failures")
+ sp = sub.add_parser(
+ "run-lane", help="run every suite in a lane/tier, past failures"
+ )
g = sp.add_mutually_exclusive_group()
g.add_argument("--lane", choices=("fast", "full", "nightly", "python-only"))
g.add_argument("--tier", choices=("l0", "l1", "l2"))
sp.add_argument("--variant", choices=("standard", "rtx"))
sp.add_argument("--platform", choices=("linux-x86_64", "windows"))
--- /home/runner/work/TensorRT/TensorRT/tests/ci/runner.py 2026-07-01 18:49:37.400379+00:00
+++ /home/runner/work/TensorRT/TensorRT/tests/ci/runner.py 2026-07-01 18:50:01.775392+00:00
@@ -22,13 +22,18 @@
)
# Known transient cudagraph/TRT-driver flake signatures. Expand ONLY with
# concrete evidence — a broad regex hides real bugs.
_RERUN_ARGS = [
- "--reruns", "1", "--reruns-delay", "5",
- "--only-rerun", "cudaErrorStreamCaptureInvalidated",
- "--only-rerun", "Stream capture invalidated",
+ "--reruns",
+ "1",
+ "--reruns-delay",
+ "5",
+ "--only-rerun",
+ "cudaErrorStreamCaptureInvalidated",
+ "--only-rerun",
+ "Stream capture invalidated",
]
def _launcher() -> list[str]:
"""The python/pytest launcher. CI leaves PYTHON unset (-> container python);
@@ -110,18 +115,35 @@
"""(argv, cwd) pairs for a named setup step."""
launcher = _launcher()
if step == "hub":
return [(launcher + ["hub.py"], REPO_ROOT / "tests/modules")]
if step == "executorch":
- return [(launcher + ["-m", "pip", "install", "pyyaml", "executorch>=1.3.1"],
- REPO_ROOT)]
+ return [
+ (
+ launcher + ["-m", "pip", "install", "pyyaml", "executorch>=1.3.1"],
+ REPO_ROOT,
+ )
+ ]
if step == "cuda-core":
- return [(launcher + ["-m", "pip", "install", "cuda-python", "cuda-core"],
- REPO_ROOT)]
+ return [
+ (launcher + ["-m", "pip", "install", "cuda-python", "cuda-core"], REPO_ROOT)
+ ]
if step == "mpi":
- return [(["dnf", "install", "-y", "mpich", "mpich-devel",
- "openmpi", "openmpi-devel"], REPO_ROOT)]
+ return [
+ (
+ [
+ "dnf",
+ "install",
+ "-y",
+ "mpich",
+ "mpich-devel",
+ "openmpi",
+ "openmpi-devel",
+ ],
+ REPO_ROOT,
+ )
+ ]
raise KeyError(f"unknown setup step {step!r} in a suite definition")
def describe(suite: Suite, variant: Variant) -> str:
"""The full command line, for --dry-run / show (quoting-safe display)."""
@@ -148,11 +170,13 @@
process exit code (non-zero on first failure), mirroring the bash tiers."""
v = suite.for_variant(variant)
extra = extra or []
env = {**os.environ, **{k: str(val) for k, val in v["env"].items()}}
cwd = REPO_ROOT / v["cwd"]
- pytest_cmd = _launcher() + ["-m", "pytest"] + build_pytest_args(suite, variant) + extra
+ pytest_cmd = (
+ _launcher() + ["-m", "pytest"] + build_pytest_args(suite, variant) + extra
+ )
if dry_run:
print(describe(suite, variant))
if extra:
print(f" # + extra pytest args: {shlex.join(extra)}")
@@ -166,14 +190,19 @@
print(f"::warning::setup step {step!r} exited {rc}", flush=True)
print(f"==> {suite.name} [{variant}]: {shlex.join(pytest_cmd)}", flush=True)
rc = subprocess.run(pytest_cmd, cwd=cwd, env=env).returncode
if rc != 0:
- repro = shlex.join(["uv", "run", "--no-sync", "pytest"]
- + build_pytest_args(suite, variant) + extra)
- print(f"::warning::{suite.name} failed. Reproduce: cd {v['cwd']} && {repro}",
- flush=True)
+ repro = shlex.join(
+ ["uv", "run", "--no-sync", "pytest"]
+ + build_pytest_args(suite, variant)
+ + extra
+ )
+ print(
+ f"::warning::{suite.name} failed. Reproduce: cd {v['cwd']} && {repro}",
+ flush=True,
+ )
return rc
for f in v["follow"]:
fcmd = _launcher() + list(f)
print(f"==> {suite.name} follow: {shlex.join(fcmd)}", flush=True)
@@ -209,9 +238,13 @@
def matrix(**filters: str | None) -> list[dict[str, str]]:
"""GitHub-Actions matrix ``include`` entries for the selected jobs."""
return [
- {"suite": s.name, "variant": var, "tier": s.tier,
- "cwd": s.for_variant(var)["cwd"]}
+ {
+ "suite": s.name,
+ "variant": var,
+ "tier": s.tier,
+ "cwd": s.for_variant(var)["cwd"],
+ }
for s, var in select(**filters)
]
--- /home/runner/work/TensorRT/TensorRT/tests/ci/suites.py 2026-07-01 18:49:37.400379+00:00
+++ /home/runner/work/TensorRT/TensorRT/tests/ci/suites.py 2026-07-01 18:50:01.849014+00:00
@@ -54,172 +54,286 @@
"""
name: str
tier: Tier
lanes: tuple[Lane, ...]
- cwd: str = "tests/py/dynamo" # relative to repo root
- paths: tuple[str, ...] = () # pytest positionals (rel to cwd); globs ok
- markers: str | None = None # -m EXPR
- keyword: str | None = None # -k EXPR
- dist: str | None = None # --dist=loadscope
- maxfail: int | None = None # --maxfail=N
- ir: str | None = None # --ir torch_compile
- jobs: str | None = None # xdist default: None=serial, "8"/"auto"/"4"
- reruns: bool = True # wrap in the flake-rerun helper
- verbose: bool = False # -v
+ cwd: str = "tests/py/dynamo" # relative to repo root
+ paths: tuple[str, ...] = () # pytest positionals (rel to cwd); globs ok
+ markers: str | None = None # -m EXPR
+ keyword: str | None = None # -k EXPR
+ dist: str | None = None # --dist=loadscope
+ maxfail: int | None = None # --maxfail=N
+ ir: str | None = None # --ir torch_compile
+ jobs: str | None = None # xdist default: None=serial, "8"/"auto"/"4"
+ reruns: bool = True # wrap in the flake-rerun helper
+ verbose: bool = False # -v
variants: tuple[Variant, ...] = ALL_VARIANTS
- platforms: tuple[Platform, ...] = ALL_PLATFORMS # channels this suite runs on
- setup: tuple[str, ...] = () # named pre-steps: hub|executorch|cuda-core|mpi
- follow: tuple[tuple[str, ...], ...] = () # extra argv to run AFTER pytest
+ platforms: tuple[Platform, ...] = ALL_PLATFORMS # channels this suite runs on
+ setup: tuple[str, ...] = () # named pre-steps: hub|executorch|cuda-core|mpi
+ follow: tuple[tuple[str, ...], ...] = () # extra argv to run AFTER pytest
env: dict[str, str] = field(default_factory=dict)
overrides: dict[str, dict[str, Any]] = field(default_factory=dict) # per-variant
def for_variant(self, variant: Variant) -> dict[str, Any]:
"""This suite's effective fields for ``variant`` (applies overrides)."""
- base = {f: getattr(self, f) for f in (
- "cwd", "paths", "markers", "keyword", "dist", "maxfail",
- "ir", "jobs", "reruns", "verbose", "setup", "follow", "env",
- )}
+ base = {
+ f: getattr(self, f)
+ for f in (
+ "cwd",
+ "paths",
+ "markers",
+ "keyword",
+ "dist",
+ "maxfail",
+ "ir",
+ "jobs",
+ "reruns",
+ "verbose",
+ "setup",
+ "follow",
+ "env",
+ )
+ }
base.update(self.overrides.get(variant, {}))
return base
# ── L0 — smoke / fast lane ────────────────────────────────────────────────────
_L0: list[Suite] = [
Suite(
- "dynamo-converters", tier="l0", lanes=("fast", "full"),
- paths=("conversion/",), dist="--dist=loadscope", maxfail=20, jobs="8",
+ "dynamo-converters",
+ tier="l0",
+ lanes=("fast", "full"),
+ paths=("conversion/",),
+ dist="--dist=loadscope",
+ maxfail=20,
+ jobs="8",
# RTX does not shard converters with loadscope.
overrides={"rtx": {"dist": None}},
),
Suite(
- "dynamo-runtime-smoke", tier="l0", lanes=("fast", "full"),
- paths=("runtime/test_000_*",), jobs="8",
- ),
- Suite(
- "dynamo-partitioning-smoke", tier="l0", lanes=("fast", "full"),
- paths=("partitioning/test_000_*",), jobs="8",
+ "dynamo-runtime-smoke",
+ tier="l0",
+ lanes=("fast", "full"),
+ paths=("runtime/test_000_*",),
+ jobs="8",
+ ),
+ Suite(
+ "dynamo-partitioning-smoke",
+ tier="l0",
+ lanes=("fast", "full"),
+ paths=("partitioning/test_000_*",),
+ jobs="8",
# RTX runs the whole partitioning suite (no smoke subset split).
overrides={"rtx": {"paths": ("partitioning/",)}},
),
Suite(
- "dynamo-lowering", tier="l0", lanes=("fast", "full"),
- paths=("lowering/",), jobs="8",
- ),
- Suite(
- "py-core", tier="l0", lanes=("fast", "full"),
- cwd="tests/py/core", paths=(".",), jobs="8",
- ),
- Suite(
- "ts-api", tier="l0", lanes=("fast", "full"),
- cwd="tests/py/ts", paths=("api/",), setup=("hub",), variants=("standard",),
+ "dynamo-lowering",
+ tier="l0",
+ lanes=("fast", "full"),
+ paths=("lowering/",),
+ jobs="8",
+ ),
+ Suite(
+ "py-core",
+ tier="l0",
+ lanes=("fast", "full"),
+ cwd="tests/py/core",
+ paths=(".",),
+ jobs="8",
+ ),
+ Suite(
+ "ts-api",
+ tier="l0",
+ lanes=("fast", "full"),
+ cwd="tests/py/ts",
+ paths=("api/",),
+ setup=("hub",),
+ variants=("standard",),
),
]
# ── L1 — critical-path / full lane ────────────────────────────────────────────
_L1: list[Suite] = [
Suite(
- "dynamo-runtime", tier="l1", lanes=("full",),
- paths=("runtime/test_001_*",), jobs="8",
- ),
- Suite(
- "dynamo-partitioning", tier="l1", lanes=("full",),
- paths=("partitioning/test_001_*",), jobs="8", variants=("standard",),
+ "dynamo-runtime",
+ tier="l1",
+ lanes=("full",),
+ paths=("runtime/test_001_*",),
+ jobs="8",
+ ),
+ Suite(
+ "dynamo-partitioning",
+ tier="l1",
+ lanes=("full",),
+ paths=("partitioning/test_001_*",),
+ jobs="8",
+ variants=("standard",),
),
Suite(
# Was run in BOTH l0_core (std) and l1_dynamo_core (both) — deduped to once.
- "dynamo-hlo", tier="l1", lanes=("full",),
- paths=("hlo/",), jobs="8",
- ),
- Suite(
- "dynamo-models-critical", tier="l1", lanes=("full",),
- paths=("models/",), markers="critical",
- ),
- Suite(
- "torch-compile-backend", tier="l1", lanes=("full",),
+ "dynamo-hlo",
+ tier="l1",
+ lanes=("full",),
+ paths=("hlo/",),
+ jobs="8",
+ ),
+ Suite(
+ "dynamo-models-critical",
+ tier="l1",
+ lanes=("full",),
+ paths=("models/",),
+ markers="critical",
+ ),
+ Suite(
+ "torch-compile-backend",
+ tier="l1",
+ lanes=("full",),
paths=("backend/",),
),
Suite(
- "torch-compile-models-critical", tier="l1", lanes=("full",),
+ "torch-compile-models-critical",
+ tier="l1",
+ lanes=("full",),
paths=("models/test_models.py", "models/test_dyn_models.py"),
- markers="critical", ir="torch_compile",
- ),
- Suite(
- "ts-models", tier="l1", lanes=("full",),
- cwd="tests/py/ts", paths=("models/",), setup=("hub",), variants=("standard",),
+ markers="critical",
+ ir="torch_compile",
+ ),
+ Suite(
+ "ts-models",
+ tier="l1",
+ lanes=("full",),
+ cwd="tests/py/ts",
+ paths=("models/",),
+ setup=("hub",),
+ variants=("standard",),
),
]
# ── L2 — exhaustive / full + nightly ──────────────────────────────────────────
_L2: list[Suite] = [
Suite(
- "torch-compile-models", tier="l2", lanes=("full", "nightly"),
+ "torch-compile-models",
+ tier="l2",
+ lanes=("full", "nightly"),
paths=("models/test_models.py", "models/test_dyn_models.py"),
- markers="not critical", ir="torch_compile", jobs="auto",
- ),
- Suite(
- "dynamo-models", tier="l2", lanes=("full", "nightly"),
- paths=("models/",), markers="not critical", jobs="auto",
- ),
- Suite(
- "dynamo-llm", tier="l2", lanes=("nightly",),
- paths=("llm/",), jobs="auto",
- ),
- Suite(
- "dynamo-runtime-full", tier="l2", lanes=("full", "nightly"),
- paths=("runtime/",), keyword="not test_000_ and not test_001_", jobs="auto",
- ),
- Suite(
- "executorch", tier="l2", lanes=("nightly",),
- paths=("executorch/",), setup=("executorch",), jobs="auto",
- variants=("standard",), platforms=("linux-x86_64",),
+ markers="not critical",
+ ir="torch_compile",
+ jobs="auto",
+ ),
+ Suite(
+ "dynamo-models",
+ tier="l2",
+ lanes=("full", "nightly"),
+ paths=("models/",),
+ markers="not critical",
+ jobs="auto",
+ ),
+ Suite(
+ "dynamo-llm",
+ tier="l2",
+ lanes=("nightly",),
+ paths=("llm/",),
+ jobs="auto",
+ ),
+ Suite(
+ "dynamo-runtime-full",
+ tier="l2",
+ lanes=("full", "nightly"),
+ paths=("runtime/",),
+ keyword="not test_000_ and not test_001_",
+ jobs="auto",
+ ),
+ Suite(
+ "executorch",
+ tier="l2",
+ lanes=("nightly",),
+ paths=("executorch/",),
+ setup=("executorch",),
+ jobs="auto",
+ variants=("standard",),
+ platforms=("linux-x86_64",),
),
Suite(
# Standard: the automatic-plugin trio. RTX: the whole automatic_plugin dir.
# (The redundant conversion/ re-run from the old l2_plugin is dropped.)
- "plugins-automatic", tier="l2", lanes=("nightly",), jobs="auto",
+ "plugins-automatic",
+ tier="l2",
+ lanes=("nightly",),
+ jobs="auto",
paths=(
"automatic_plugin/test_automatic_plugin.py",
"automatic_plugin/test_automatic_plugin_with_attrs.py",
"automatic_plugin/test_flashinfer_rmsnorm.py",
),
overrides={"rtx": {"paths": ("automatic_plugin/",)}},
),
Suite(
- "kernels", tier="l2", lanes=("nightly",),
- cwd="tests/py/kernels", paths=(".",), setup=("cuda-core",), jobs="auto",
- variants=("standard",), platforms=("linux-x86_64",),
- ),
- Suite(
- "ts-integrations", tier="l2", lanes=("nightly",),
- cwd="tests/py/ts", paths=("integrations/",), setup=("hub",), jobs="auto",
- variants=("standard",),
- ),
- Suite(
- "distributed", tier="l2", lanes=("nightly",),
+ "kernels",
+ tier="l2",
+ lanes=("nightly",),
+ cwd="tests/py/kernels",
+ paths=(".",),
+ setup=("cuda-core",),
+ jobs="auto",
+ variants=("standard",),
+ platforms=("linux-x86_64",),
+ ),
+ Suite(
+ "ts-integrations",
+ tier="l2",
+ lanes=("nightly",),
+ cwd="tests/py/ts",
+ paths=("integrations/",),
+ setup=("hub",),
+ jobs="auto",
+ variants=("standard",),
+ ),
+ Suite(
+ "distributed",
+ tier="l2",
+ lanes=("nightly",),
paths=(
"distributed/test_nccl_ops.py",
"distributed/test_native_nccl.py",
"distributed/test_export_save_load.py",
),
- jobs="auto", verbose=True, reruns=False, variants=("standard",),
- platforms=("linux-x86_64",), setup=("mpi",),
+ jobs="auto",
+ verbose=True,
+ reruns=False,
+ variants=("standard",),
+ platforms=("linux-x86_64",),
+ setup=("mpi",),
env={"USE_HOST_DEPS": "1", "CI_BUILD": "1", "USE_TRTLLM_PLUGINS": "1"},
follow=(
- ("-m", "torch_tensorrt.distributed.run", "--nproc_per_node=2",
- "distributed/test_native_nccl.py", "--multirank"),
- ("-m", "torch_tensorrt.distributed.run", "--nproc_per_node=2",
- "distributed/test_export_save_load.py", "--multirank"),
+ (
+ "-m",
+ "torch_tensorrt.distributed.run",
+ "--nproc_per_node=2",
+ "distributed/test_native_nccl.py",
+ "--multirank",
+ ),
+ (
+ "-m",
+ "torch_tensorrt.distributed.run",
+ "--nproc_per_node=2",
+ "distributed/test_export_save_load.py",
+ "--multirank",
+ ),
),
),
]
# ── python-only — validates the PYTHON_ONLY=1 wheel against the runtime suite ──
_PYTHON_ONLY: list[Suite] = [
Suite(
- "python-only-runtime", tier="l1", lanes=("python-only",),
- paths=("runtime/",), jobs="8", variants=("standard",),
+ "python-only-runtime",
+ tier="l1",
+ lanes=("python-only",),
+ paths=("runtime/",),
+ jobs="8",
+ variants=("standard",),
),
]
SUITES: tuple[Suite, ...] = tuple(_L0 + _L1 + _L2 + _PYTHON_ONLY)
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--- /home/runner/work/TensorRT/TensorRT/tests/ci/__main__.py 2026-07-01 19:10:08.640502+00:00
+++ /home/runner/work/TensorRT/TensorRT/tests/ci/__main__.py 2026-07-01 19:10:36.520231+00:00
@@ -1,12 +1,12 @@
"""CLI for the test-suite manifest: python -m tests.ci {list,show,run,matrix,doctor}
- list all suites, tiers, lanes, variants
- show <name> a suite's resolved command per variant
- run <name> [opts] [-- ...] run one suite (the call CI + just both make)
- matrix [--lane|--tier] JSON matrix `include` for GitHub Actions
- doctor validate the manifest (CI lints this)
+list all suites, tiers, lanes, variants
+show <name> a suite's resolved command per variant
+run <name> [opts] [-- ...] run one suite (the call CI + just both make)
+matrix [--lane|--tier] JSON matrix `include` for GitHub Actions
+doctor validate the manifest (CI lints this)
"""
from __future__ import annotations
import argparse
@@ -17,16 +17,22 @@
from .suites import SUITES, by_name
def _cmd_list(_: argparse.Namespace) -> int:
width = max(len(s.name) for s in SUITES)
- print(f"{'SUITE'.ljust(width)} TIER LANES VARIANTS PLATFORMS")
+ print(
+ f"{'SUITE'.ljust(width)} TIER LANES VARIANTS PLATFORMS"
+ )
for s in SUITES:
- print(f"{s.name.ljust(width)} {s.tier:<4} "
- f"{','.join(s.lanes):<21} {','.join(s.variants):<15} {','.join(s.platforms)}")
- print(f"\n{len(SUITES)} suites. "
- f"Run one: python -m tests.ci run <suite> (or `just suite <suite>`)")
+ print(
+ f"{s.name.ljust(width)} {s.tier:<4} "
+ f"{','.join(s.lanes):<21} {','.join(s.variants):<15} {','.join(s.platforms)}"
+ )
+ print(
+ f"\n{len(SUITES)} suites. "
+ f"Run one: python -m tests.ci run <suite> (or `just suite <suite>`)"
+ )
return 0
def _cmd_show(args: argparse.Namespace) -> int:
s = by_name(args.name)
@@ -39,36 +45,41 @@
def _cmd_run(args: argparse.Namespace) -> int:
s = by_name(args.name)
variants = [args.variant] if args.variant else list(s.variants)
if args.variant and args.variant not in s.variants:
- print(f"::warning::{s.name} does not run on variant {args.variant!r}; "
- f"it runs on {s.variants}", file=sys.stderr)
+ print(
+ f"::warning::{s.name} does not run on variant {args.variant!r}; "
+ f"it runs on {s.variants}",
+ file=sys.stderr,
+ )
return 0
rc = 0
for var in variants:
rc = run_suite(s, var, dry_run=args.dry_run, extra=args.pytest_args) or rc
return rc
def _cmd_run_lane(args: argparse.Namespace) -> int:
"""Run every suite in a lane/tier, continuing past failures (so one consolidated
report sees them all). Returns non-zero if any suite failed."""
- jobs = select(lane=args.lane, tier=args.tier, variant=args.variant,
- platform=args.platform)
+ jobs = select(
+ lane=args.lane, tier=args.tier, variant=args.variant, platform=args.platform
+ )
if not jobs:
print("::warning::no suites match the given filters", file=sys.stderr)
return 0
rc = 0
for s, var in jobs:
rc = run_suite(s, var, dry_run=args.dry_run) or rc
return rc
def _cmd_matrix(args: argparse.Namespace) -> int:
- include = matrix(lane=args.lane, tier=args.tier, variant=args.variant,
- platform=args.platform)
+ include = matrix(
+ lane=args.lane, tier=args.tier, variant=args.variant, platform=args.platform
+ )
if not include:
print("::warning::matrix is empty for the given filters", file=sys.stderr)
print(json.dumps({"include": include}))
return 0
@@ -109,12 +120,14 @@
if problems:
for p in problems:
print(f"✗ {p}", file=sys.stderr)
print(f"\n{len(problems)} manifest problem(s).", file=sys.stderr)
return 1
- print(f"✓ manifest OK — {len(SUITES)} suites, "
- f"{len(set(junits))} unique junit paths, no collisions.")
+ print(
+ f"✓ manifest OK — {len(SUITES)} suites, "
+ f"{len(set(junits))} unique junit paths, no collisions."
+ )
return 0
def main(argv: list[str] | None = None) -> int:
p = argparse.ArgumentParser(prog="python -m tests.ci", description=__doc__)
@@ -127,16 +140,23 @@
sp.set_defaults(fn=_cmd_show)
sp = sub.add_parser("run", help="run one suite")
sp.add_argument("name")
sp.add_argument("--variant", choices=("standard", "rtx"))
- sp.add_argument("--dry-run", action="store_true", help="print the command, don't run")
- sp.add_argument("pytest_args", nargs="*", help="extra args forwarded to pytest "
- "(use `-- -k foo`)")
+ sp.add_argument(
+ "--dry-run", action="store_true", help="print the command, don't run"
+ )
+ sp.add_argument(
+ "pytest_args",
+ nargs="*",
+ help="extra args forwarded to pytest " "(use `-- -k foo`)",
+ )
sp.set_defaults(fn=_cmd_run)
- sp = sub.add_parser("run-lane", help="run every suite in a lane/tier, past failures")
+ sp = sub.add_parser(
+ "run-lane", help="run every suite in a lane/tier, past failures"
+ )
g = sp.add_mutually_exclusive_group()
g.add_argument("--lane", choices=("fast", "full", "nightly", "python-only"))
g.add_argument("--tier", choices=("l0", "l1", "l2"))
sp.add_argument("--variant", choices=("standard", "rtx"))
sp.add_argument("--platform", choices=("linux-x86_64", "windows"))
--- /home/runner/work/TensorRT/TensorRT/tests/ci/runner.py 2026-07-01 19:10:08.640502+00:00
+++ /home/runner/work/TensorRT/TensorRT/tests/ci/runner.py 2026-07-01 19:10:36.590423+00:00
@@ -22,13 +22,18 @@
)
# Known transient cudagraph/TRT-driver flake signatures. Expand ONLY with
# concrete evidence — a broad regex hides real bugs.
_RERUN_ARGS = [
- "--reruns", "1", "--reruns-delay", "5",
- "--only-rerun", "cudaErrorStreamCaptureInvalidated",
- "--only-rerun", "Stream capture invalidated",
+ "--reruns",
+ "1",
+ "--reruns-delay",
+ "5",
+ "--only-rerun",
+ "cudaErrorStreamCaptureInvalidated",
+ "--only-rerun",
+ "Stream capture invalidated",
]
def _launcher() -> list[str]:
"""The python/pytest launcher. CI leaves PYTHON unset (-> container python);
@@ -110,18 +115,35 @@
"""(argv, cwd) pairs for a named setup step."""
launcher = _launcher()
if step == "hub":
return [(launcher + ["hub.py"], REPO_ROOT / "tests/modules")]
if step == "executorch":
- return [(launcher + ["-m", "pip", "install", "pyyaml", "executorch>=1.3.1"],
- REPO_ROOT)]
+ return [
+ (
+ launcher + ["-m", "pip", "install", "pyyaml", "executorch>=1.3.1"],
+ REPO_ROOT,
+ )
+ ]
if step == "cuda-core":
- return [(launcher + ["-m", "pip", "install", "cuda-python", "cuda-core"],
- REPO_ROOT)]
+ return [
+ (launcher + ["-m", "pip", "install", "cuda-python", "cuda-core"], REPO_ROOT)
+ ]
if step == "mpi":
- return [(["dnf", "install", "-y", "mpich", "mpich-devel",
- "openmpi", "openmpi-devel"], REPO_ROOT)]
+ return [
+ (
+ [
+ "dnf",
+ "install",
+ "-y",
+ "mpich",
+ "mpich-devel",
+ "openmpi",
+ "openmpi-devel",
+ ],
+ REPO_ROOT,
+ )
+ ]
raise KeyError(f"unknown setup step {step!r} in a suite definition")
def describe(suite: Suite, variant: Variant) -> str:
"""The full command line, for --dry-run / show (quoting-safe display)."""
@@ -148,11 +170,13 @@
process exit code (non-zero on first failure), mirroring the bash tiers."""
v = suite.for_variant(variant)
extra = extra or []
env = {**os.environ, **{k: str(val) for k, val in v["env"].items()}}
cwd = REPO_ROOT / v["cwd"]
- pytest_cmd = _launcher() + ["-m", "pytest"] + build_pytest_args(suite, variant) + extra
+ pytest_cmd = (
+ _launcher() + ["-m", "pytest"] + build_pytest_args(suite, variant) + extra
+ )
if dry_run:
print(describe(suite, variant))
if extra:
print(f" # + extra pytest args: {shlex.join(extra)}")
@@ -166,14 +190,19 @@
print(f"::warning::setup step {step!r} exited {rc}", flush=True)
print(f"==> {suite.name} [{variant}]: {shlex.join(pytest_cmd)}", flush=True)
rc = subprocess.run(pytest_cmd, cwd=cwd, env=env).returncode
if rc != 0:
- repro = shlex.join(["uv", "run", "--no-sync", "pytest"]
- + build_pytest_args(suite, variant) + extra)
- print(f"::warning::{suite.name} failed. Reproduce: cd {v['cwd']} && {repro}",
- flush=True)
+ repro = shlex.join(
+ ["uv", "run", "--no-sync", "pytest"]
+ + build_pytest_args(suite, variant)
+ + extra
+ )
+ print(
+ f"::warning::{suite.name} failed. Reproduce: cd {v['cwd']} && {repro}",
+ flush=True,
+ )
return rc
for f in v["follow"]:
fcmd = _launcher() + list(f)
print(f"==> {suite.name} follow: {shlex.join(fcmd)}", flush=True)
@@ -209,9 +238,13 @@
def matrix(**filters: str | None) -> list[dict[str, str]]:
"""GitHub-Actions matrix ``include`` entries for the selected jobs."""
return [
- {"suite": s.name, "variant": var, "tier": s.tier,
- "cwd": s.for_variant(var)["cwd"]}
+ {
+ "suite": s.name,
+ "variant": var,
+ "tier": s.tier,
+ "cwd": s.for_variant(var)["cwd"],
+ }
for s, var in select(**filters)
]
--- /home/runner/work/TensorRT/TensorRT/tests/ci/suites.py 2026-07-01 19:10:08.640502+00:00
+++ /home/runner/work/TensorRT/TensorRT/tests/ci/suites.py 2026-07-01 19:10:36.641696+00:00
@@ -54,172 +54,286 @@
"""
name: str
tier: Tier
lanes: tuple[Lane, ...]
- cwd: str = "tests/py/dynamo" # relative to repo root
- paths: tuple[str, ...] = () # pytest positionals (rel to cwd); globs ok
- markers: str | None = None # -m EXPR
- keyword: str | None = None # -k EXPR
- dist: str | None = None # --dist=loadscope
- maxfail: int | None = None # --maxfail=N
- ir: str | None = None # --ir torch_compile
- jobs: str | None = None # xdist default: None=serial, "8"/"auto"/"4"
- reruns: bool = True # wrap in the flake-rerun helper
- verbose: bool = False # -v
+ cwd: str = "tests/py/dynamo" # relative to repo root
+ paths: tuple[str, ...] = () # pytest positionals (rel to cwd); globs ok
+ markers: str | None = None # -m EXPR
+ keyword: str | None = None # -k EXPR
+ dist: str | None = None # --dist=loadscope
+ maxfail: int | None = None # --maxfail=N
+ ir: str | None = None # --ir torch_compile
+ jobs: str | None = None # xdist default: None=serial, "8"/"auto"/"4"
+ reruns: bool = True # wrap in the flake-rerun helper
+ verbose: bool = False # -v
variants: tuple[Variant, ...] = ALL_VARIANTS
- platforms: tuple[Platform, ...] = ALL_PLATFORMS # channels this suite runs on
- setup: tuple[str, ...] = () # named pre-steps: hub|executorch|cuda-core|mpi
- follow: tuple[tuple[str, ...], ...] = () # extra argv to run AFTER pytest
+ platforms: tuple[Platform, ...] = ALL_PLATFORMS # channels this suite runs on
+ setup: tuple[str, ...] = () # named pre-steps: hub|executorch|cuda-core|mpi
+ follow: tuple[tuple[str, ...], ...] = () # extra argv to run AFTER pytest
env: dict[str, str] = field(default_factory=dict)
overrides: dict[str, dict[str, Any]] = field(default_factory=dict) # per-variant
def for_variant(self, variant: Variant) -> dict[str, Any]:
"""This suite's effective fields for ``variant`` (applies overrides)."""
- base = {f: getattr(self, f) for f in (
- "cwd", "paths", "markers", "keyword", "dist", "maxfail",
- "ir", "jobs", "reruns", "verbose", "setup", "follow", "env",
- )}
+ base = {
+ f: getattr(self, f)
+ for f in (
+ "cwd",
+ "paths",
+ "markers",
+ "keyword",
+ "dist",
+ "maxfail",
+ "ir",
+ "jobs",
+ "reruns",
+ "verbose",
+ "setup",
+ "follow",
+ "env",
+ )
+ }
base.update(self.overrides.get(variant, {}))
return base
# ── L0 — smoke / fast lane ────────────────────────────────────────────────────
_L0: list[Suite] = [
Suite(
- "dynamo-converters", tier="l0", lanes=("fast", "full"),
- paths=("conversion/",), dist="--dist=loadscope", maxfail=20, jobs="8",
+ "dynamo-converters",
+ tier="l0",
+ lanes=("fast", "full"),
+ paths=("conversion/",),
+ dist="--dist=loadscope",
+ maxfail=20,
+ jobs="8",
# RTX does not shard converters with loadscope.
overrides={"rtx": {"dist": None}},
),
Suite(
- "dynamo-runtime-smoke", tier="l0", lanes=("fast", "full"),
- paths=("runtime/test_000_*",), jobs="8",
- ),
- Suite(
- "dynamo-partitioning-smoke", tier="l0", lanes=("fast", "full"),
- paths=("partitioning/test_000_*",), jobs="8",
+ "dynamo-runtime-smoke",
+ tier="l0",
+ lanes=("fast", "full"),
+ paths=("runtime/test_000_*",),
+ jobs="8",
+ ),
+ Suite(
+ "dynamo-partitioning-smoke",
+ tier="l0",
+ lanes=("fast", "full"),
+ paths=("partitioning/test_000_*",),
+ jobs="8",
# RTX runs the whole partitioning suite (no smoke subset split).
overrides={"rtx": {"paths": ("partitioning/",)}},
),
Suite(
- "dynamo-lowering", tier="l0", lanes=("fast", "full"),
- paths=("lowering/",), jobs="8",
- ),
- Suite(
- "py-core", tier="l0", lanes=("fast", "full"),
- cwd="tests/py/core", paths=(".",), jobs="8",
- ),
- Suite(
- "ts-api", tier="l0", lanes=("fast", "full"),
- cwd="tests/py/ts", paths=("api/",), setup=("hub",), variants=("standard",),
+ "dynamo-lowering",
+ tier="l0",
+ lanes=("fast", "full"),
+ paths=("lowering/",),
+ jobs="8",
+ ),
+ Suite(
+ "py-core",
+ tier="l0",
+ lanes=("fast", "full"),
+ cwd="tests/py/core",
+ paths=(".",),
+ jobs="8",
+ ),
+ Suite(
+ "ts-api",
+ tier="l0",
+ lanes=("fast", "full"),
+ cwd="tests/py/ts",
+ paths=("api/",),
+ setup=("hub",),
+ variants=("standard",),
),
]
# ── L1 — critical-path / full lane ────────────────────────────────────────────
_L1: list[Suite] = [
Suite(
- "dynamo-runtime", tier="l1", lanes=("full",),
- paths=("runtime/test_001_*",), jobs="8",
- ),
- Suite(
- "dynamo-partitioning", tier="l1", lanes=("full",),
- paths=("partitioning/test_001_*",), jobs="8", variants=("standard",),
+ "dynamo-runtime",
+ tier="l1",
+ lanes=("full",),
+ paths=("runtime/test_001_*",),
+ jobs="8",
+ ),
+ Suite(
+ "dynamo-partitioning",
+ tier="l1",
+ lanes=("full",),
+ paths=("partitioning/test_001_*",),
+ jobs="8",
+ variants=("standard",),
),
Suite(
# Was run in BOTH l0_core (std) and l1_dynamo_core (both) — deduped to once.
- "dynamo-hlo", tier="l1", lanes=("full",),
- paths=("hlo/",), jobs="8",
- ),
- Suite(
- "dynamo-models-critical", tier="l1", lanes=("full",),
- paths=("models/",), markers="critical",
- ),
- Suite(
- "torch-compile-backend", tier="l1", lanes=("full",),
+ "dynamo-hlo",
+ tier="l1",
+ lanes=("full",),
+ paths=("hlo/",),
+ jobs="8",
+ ),
+ Suite(
+ "dynamo-models-critical",
+ tier="l1",
+ lanes=("full",),
+ paths=("models/",),
+ markers="critical",
+ ),
+ Suite(
+ "torch-compile-backend",
+ tier="l1",
+ lanes=("full",),
paths=("backend/",),
),
Suite(
- "torch-compile-models-critical", tier="l1", lanes=("full",),
+ "torch-compile-models-critical",
+ tier="l1",
+ lanes=("full",),
paths=("models/test_models.py", "models/test_dyn_models.py"),
- markers="critical", ir="torch_compile",
- ),
- Suite(
- "ts-models", tier="l1", lanes=("full",),
- cwd="tests/py/ts", paths=("models/",), setup=("hub",), variants=("standard",),
+ markers="critical",
+ ir="torch_compile",
+ ),
+ Suite(
+ "ts-models",
+ tier="l1",
+ lanes=("full",),
+ cwd="tests/py/ts",
+ paths=("models/",),
+ setup=("hub",),
+ variants=("standard",),
),
]
# ── L2 — exhaustive / full + nightly ──────────────────────────────────────────
_L2: list[Suite] = [
Suite(
- "torch-compile-models", tier="l2", lanes=("full", "nightly"),
+ "torch-compile-models",
+ tier="l2",
+ lanes=("full", "nightly"),
paths=("models/test_models.py", "models/test_dyn_models.py"),
- markers="not critical", ir="torch_compile", jobs="auto",
- ),
- Suite(
- "dynamo-models", tier="l2", lanes=("full", "nightly"),
- paths=("models/",), markers="not critical", jobs="auto",
- ),
- Suite(
- "dynamo-llm", tier="l2", lanes=("nightly",),
- paths=("llm/",), jobs="auto",
- ),
- Suite(
- "dynamo-runtime-full", tier="l2", lanes=("full", "nightly"),
- paths=("runtime/",), keyword="not test_000_ and not test_001_", jobs="auto",
- ),
- Suite(
- "executorch", tier="l2", lanes=("nightly",),
- paths=("executorch/",), setup=("executorch",), jobs="auto",
- variants=("standard",), platforms=("linux-x86_64",),
+ markers="not critical",
+ ir="torch_compile",
+ jobs="auto",
+ ),
+ Suite(
+ "dynamo-models",
+ tier="l2",
+ lanes=("full", "nightly"),
+ paths=("models/",),
+ markers="not critical",
+ jobs="auto",
+ ),
+ Suite(
+ "dynamo-llm",
+ tier="l2",
+ lanes=("nightly",),
+ paths=("llm/",),
+ jobs="auto",
+ ),
+ Suite(
+ "dynamo-runtime-full",
+ tier="l2",
+ lanes=("full", "nightly"),
+ paths=("runtime/",),
+ keyword="not test_000_ and not test_001_",
+ jobs="auto",
+ ),
+ Suite(
+ "executorch",
+ tier="l2",
+ lanes=("nightly",),
+ paths=("executorch/",),
+ setup=("executorch",),
+ jobs="auto",
+ variants=("standard",),
+ platforms=("linux-x86_64",),
),
Suite(
# Standard: the automatic-plugin trio. RTX: the whole automatic_plugin dir.
# (The redundant conversion/ re-run from the old l2_plugin is dropped.)
- "plugins-automatic", tier="l2", lanes=("nightly",), jobs="auto",
+ "plugins-automatic",
+ tier="l2",
+ lanes=("nightly",),
+ jobs="auto",
paths=(
"automatic_plugin/test_automatic_plugin.py",
"automatic_plugin/test_automatic_plugin_with_attrs.py",
"automatic_plugin/test_flashinfer_rmsnorm.py",
),
overrides={"rtx": {"paths": ("automatic_plugin/",)}},
),
Suite(
- "kernels", tier="l2", lanes=("nightly",),
- cwd="tests/py/kernels", paths=(".",), setup=("cuda-core",), jobs="auto",
- variants=("standard",), platforms=("linux-x86_64",),
- ),
- Suite(
- "ts-integrations", tier="l2", lanes=("nightly",),
- cwd="tests/py/ts", paths=("integrations/",), setup=("hub",), jobs="auto",
- variants=("standard",),
- ),
- Suite(
- "distributed", tier="l2", lanes=("nightly",),
+ "kernels",
+ tier="l2",
+ lanes=("nightly",),
+ cwd="tests/py/kernels",
+ paths=(".",),
+ setup=("cuda-core",),
+ jobs="auto",
+ variants=("standard",),
+ platforms=("linux-x86_64",),
+ ),
+ Suite(
+ "ts-integrations",
+ tier="l2",
+ lanes=("nightly",),
+ cwd="tests/py/ts",
+ paths=("integrations/",),
+ setup=("hub",),
+ jobs="auto",
+ variants=("standard",),
+ ),
+ Suite(
+ "distributed",
+ tier="l2",
+ lanes=("nightly",),
paths=(
"distributed/test_nccl_ops.py",
"distributed/test_native_nccl.py",
"distributed/test_export_save_load.py",
),
- jobs="auto", verbose=True, reruns=False, variants=("standard",),
- platforms=("linux-x86_64",), setup=("mpi",),
+ jobs="auto",
+ verbose=True,
+ reruns=False,
+ variants=("standard",),
+ platforms=("linux-x86_64",),
+ setup=("mpi",),
env={"USE_HOST_DEPS": "1", "CI_BUILD": "1", "USE_TRTLLM_PLUGINS": "1"},
follow=(
- ("-m", "torch_tensorrt.distributed.run", "--nproc_per_node=2",
- "distributed/test_native_nccl.py", "--multirank"),
- ("-m", "torch_tensorrt.distributed.run", "--nproc_per_node=2",
- "distributed/test_export_save_load.py", "--multirank"),
+ (
+ "-m",
+ "torch_tensorrt.distributed.run",
+ "--nproc_per_node=2",
+ "distributed/test_native_nccl.py",
+ "--multirank",
+ ),
+ (
+ "-m",
+ "torch_tensorrt.distributed.run",
+ "--nproc_per_node=2",
+ "distributed/test_export_save_load.py",
+ "--multirank",
+ ),
),
),
]
# ── python-only — validates the PYTHON_ONLY=1 wheel against the runtime suite ──
_PYTHON_ONLY: list[Suite] = [
Suite(
- "python-only-runtime", tier="l1", lanes=("python-only",),
- paths=("runtime/",), jobs="8", variants=("standard",),
+ "python-only-runtime",
+ tier="l1",
+ lanes=("python-only",),
+ paths=("runtime/",),
+ jobs="8",
+ variants=("standard",),
),
]
SUITES: tuple[Suite, ...] = tuple(_L0 + _L1 + _L2 + _PYTHON_ONLY)
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There are some changes that do not conform to Python style guidelines:
--- /home/runner/work/TensorRT/TensorRT/tests/ci/__main__.py 2026-07-02 22:45:37.649152+00:00
+++ /home/runner/work/TensorRT/TensorRT/tests/ci/__main__.py 2026-07-02 22:45:58.621201+00:00
@@ -1,12 +1,12 @@
"""CLI for the test-suite manifest: python -m tests.ci {list,show,run,matrix,doctor}
- list all suites, tiers, lanes, variants
- show <name> a suite's resolved command per variant
- run <name> [opts] [-- ...] run one suite (the call CI + just both make)
- matrix [--lane|--tier] JSON matrix `include` for GitHub Actions
- doctor validate the manifest (CI lints this)
+list all suites, tiers, lanes, variants
+show <name> a suite's resolved command per variant
+run <name> [opts] [-- ...] run one suite (the call CI + just both make)
+matrix [--lane|--tier] JSON matrix `include` for GitHub Actions
+doctor validate the manifest (CI lints this)
"""
from __future__ import annotations
import argparse
@@ -17,16 +17,22 @@
from .suites import SUITES, by_name
def _cmd_list(_: argparse.Namespace) -> int:
width = max(len(s.name) for s in SUITES)
- print(f"{'SUITE'.ljust(width)} TIER LANES VARIANTS PLATFORMS")
+ print(
+ f"{'SUITE'.ljust(width)} TIER LANES VARIANTS PLATFORMS"
+ )
for s in SUITES:
- print(f"{s.name.ljust(width)} {s.tier:<4} "
- f"{','.join(s.lanes):<21} {','.join(s.variants):<15} {','.join(s.platforms)}")
- print(f"\n{len(SUITES)} suites. "
- f"Run one: python -m tests.ci run <suite> (or `just suite <suite>`)")
+ print(
+ f"{s.name.ljust(width)} {s.tier:<4} "
+ f"{','.join(s.lanes):<21} {','.join(s.variants):<15} {','.join(s.platforms)}"
+ )
+ print(
+ f"\n{len(SUITES)} suites. "
+ f"Run one: python -m tests.ci run <suite> (or `just suite <suite>`)"
+ )
return 0
def _cmd_show(args: argparse.Namespace) -> int:
s = by_name(args.name)
@@ -39,36 +45,41 @@
def _cmd_run(args: argparse.Namespace) -> int:
s = by_name(args.name)
variants = [args.variant] if args.variant else list(s.variants)
if args.variant and args.variant not in s.variants:
- print(f"::warning::{s.name} does not run on variant {args.variant!r}; "
- f"it runs on {s.variants}", file=sys.stderr)
+ print(
+ f"::warning::{s.name} does not run on variant {args.variant!r}; "
+ f"it runs on {s.variants}",
+ file=sys.stderr,
+ )
return 0
rc = 0
for var in variants:
rc = run_suite(s, var, dry_run=args.dry_run, extra=args.pytest_args) or rc
return rc
def _cmd_run_lane(args: argparse.Namespace) -> int:
"""Run every suite in a lane/tier, continuing past failures (so one consolidated
report sees them all). Returns non-zero if any suite failed."""
- jobs = select(lane=args.lane, tier=args.tier, variant=args.variant,
- platform=args.platform)
+ jobs = select(
+ lane=args.lane, tier=args.tier, variant=args.variant, platform=args.platform
+ )
if not jobs:
print("::warning::no suites match the given filters", file=sys.stderr)
return 0
rc = 0
for s, var in jobs:
rc = run_suite(s, var, dry_run=args.dry_run) or rc
return rc
def _cmd_matrix(args: argparse.Namespace) -> int:
- include = matrix(lane=args.lane, tier=args.tier, variant=args.variant,
- platform=args.platform)
+ include = matrix(
+ lane=args.lane, tier=args.tier, variant=args.variant, platform=args.platform
+ )
if not include:
print("::warning::matrix is empty for the given filters", file=sys.stderr)
print(json.dumps({"include": include}))
return 0
@@ -109,12 +120,14 @@
if problems:
for p in problems:
print(f"✗ {p}", file=sys.stderr)
print(f"\n{len(problems)} manifest problem(s).", file=sys.stderr)
return 1
- print(f"✓ manifest OK — {len(SUITES)} suites, "
- f"{len(set(junits))} unique junit paths, no collisions.")
+ print(
+ f"✓ manifest OK — {len(SUITES)} suites, "
+ f"{len(set(junits))} unique junit paths, no collisions."
+ )
return 0
def main(argv: list[str] | None = None) -> int:
p = argparse.ArgumentParser(prog="python -m tests.ci", description=__doc__)
@@ -127,16 +140,23 @@
sp.set_defaults(fn=_cmd_show)
sp = sub.add_parser("run", help="run one suite")
sp.add_argument("name")
sp.add_argument("--variant", choices=("standard", "rtx"))
- sp.add_argument("--dry-run", action="store_true", help="print the command, don't run")
- sp.add_argument("pytest_args", nargs="*", help="extra args forwarded to pytest "
- "(use `-- -k foo`)")
+ sp.add_argument(
+ "--dry-run", action="store_true", help="print the command, don't run"
+ )
+ sp.add_argument(
+ "pytest_args",
+ nargs="*",
+ help="extra args forwarded to pytest " "(use `-- -k foo`)",
+ )
sp.set_defaults(fn=_cmd_run)
- sp = sub.add_parser("run-lane", help="run every suite in a lane/tier, past failures")
+ sp = sub.add_parser(
+ "run-lane", help="run every suite in a lane/tier, past failures"
+ )
g = sp.add_mutually_exclusive_group()
g.add_argument("--lane", choices=("fast", "full", "nightly", "python-only"))
g.add_argument("--tier", choices=("l0", "l1", "l2"))
sp.add_argument("--variant", choices=("standard", "rtx"))
sp.add_argument("--platform", choices=("linux-x86_64", "windows"))
--- /home/runner/work/TensorRT/TensorRT/tests/ci/runner.py 2026-07-02 22:45:37.649152+00:00
+++ /home/runner/work/TensorRT/TensorRT/tests/ci/runner.py 2026-07-02 22:45:58.664304+00:00
@@ -22,13 +22,18 @@
)
# Known transient cudagraph/TRT-driver flake signatures. Expand ONLY with
# concrete evidence — a broad regex hides real bugs.
_RERUN_ARGS = [
- "--reruns", "1", "--reruns-delay", "5",
- "--only-rerun", "cudaErrorStreamCaptureInvalidated",
- "--only-rerun", "Stream capture invalidated",
+ "--reruns",
+ "1",
+ "--reruns-delay",
+ "5",
+ "--only-rerun",
+ "cudaErrorStreamCaptureInvalidated",
+ "--only-rerun",
+ "Stream capture invalidated",
]
def _launcher() -> list[str]:
"""The python/pytest launcher. CI leaves PYTHON unset (-> container python);
@@ -110,18 +115,35 @@
"""(argv, cwd) pairs for a named setup step."""
launcher = _launcher()
if step == "hub":
return [(launcher + ["hub.py"], REPO_ROOT / "tests/modules")]
if step == "executorch":
- return [(launcher + ["-m", "pip", "install", "pyyaml", "executorch>=1.3.1"],
- REPO_ROOT)]
+ return [
+ (
+ launcher + ["-m", "pip", "install", "pyyaml", "executorch>=1.3.1"],
+ REPO_ROOT,
+ )
+ ]
if step == "cuda-core":
- return [(launcher + ["-m", "pip", "install", "cuda-python", "cuda-core"],
- REPO_ROOT)]
+ return [
+ (launcher + ["-m", "pip", "install", "cuda-python", "cuda-core"], REPO_ROOT)
+ ]
if step == "mpi":
- return [(["dnf", "install", "-y", "mpich", "mpich-devel",
- "openmpi", "openmpi-devel"], REPO_ROOT)]
+ return [
+ (
+ [
+ "dnf",
+ "install",
+ "-y",
+ "mpich",
+ "mpich-devel",
+ "openmpi",
+ "openmpi-devel",
+ ],
+ REPO_ROOT,
+ )
+ ]
raise KeyError(f"unknown setup step {step!r} in a suite definition")
def describe(suite: Suite, variant: Variant) -> str:
"""The full command line, for --dry-run / show (quoting-safe display)."""
@@ -148,11 +170,13 @@
process exit code (non-zero on first failure), mirroring the bash tiers."""
v = suite.for_variant(variant)
extra = extra or []
env = {**os.environ, **{k: str(val) for k, val in v["env"].items()}}
cwd = REPO_ROOT / v["cwd"]
- pytest_cmd = _launcher() + ["-m", "pytest"] + build_pytest_args(suite, variant) + extra
+ pytest_cmd = (
+ _launcher() + ["-m", "pytest"] + build_pytest_args(suite, variant) + extra
+ )
if dry_run:
print(describe(suite, variant))
if extra:
print(f" # + extra pytest args: {shlex.join(extra)}")
@@ -166,14 +190,19 @@
print(f"::warning::setup step {step!r} exited {rc}", flush=True)
print(f"==> {suite.name} [{variant}]: {shlex.join(pytest_cmd)}", flush=True)
rc = subprocess.run(pytest_cmd, cwd=cwd, env=env).returncode
if rc != 0:
- repro = shlex.join(["uv", "run", "--no-sync", "pytest"]
- + build_pytest_args(suite, variant) + extra)
- print(f"::warning::{suite.name} failed. Reproduce: cd {v['cwd']} && {repro}",
- flush=True)
+ repro = shlex.join(
+ ["uv", "run", "--no-sync", "pytest"]
+ + build_pytest_args(suite, variant)
+ + extra
+ )
+ print(
+ f"::warning::{suite.name} failed. Reproduce: cd {v['cwd']} && {repro}",
+ flush=True,
+ )
return rc
for f in v["follow"]:
fcmd = _launcher() + list(f)
print(f"==> {suite.name} follow: {shlex.join(fcmd)}", flush=True)
@@ -209,9 +238,13 @@
def matrix(**filters: str | None) -> list[dict[str, str]]:
"""GitHub-Actions matrix ``include`` entries for the selected jobs."""
return [
- {"suite": s.name, "variant": var, "tier": s.tier,
- "cwd": s.for_variant(var)["cwd"]}
+ {
+ "suite": s.name,
+ "variant": var,
+ "tier": s.tier,
+ "cwd": s.for_variant(var)["cwd"],
+ }
for s, var in select(**filters)
]
--- /home/runner/work/TensorRT/TensorRT/tests/ci/suites.py 2026-07-02 22:45:37.649152+00:00
+++ /home/runner/work/TensorRT/TensorRT/tests/ci/suites.py 2026-07-02 22:45:58.683233+00:00
@@ -54,172 +54,286 @@
"""
name: str
tier: Tier
lanes: tuple[Lane, ...]
- cwd: str = "tests/py/dynamo" # relative to repo root
- paths: tuple[str, ...] = () # pytest positionals (rel to cwd); globs ok
- markers: str | None = None # -m EXPR
- keyword: str | None = None # -k EXPR
- dist: str | None = None # --dist=loadscope
- maxfail: int | None = None # --maxfail=N
- ir: str | None = None # --ir torch_compile
- jobs: str | None = None # xdist default: None=serial, "8"/"auto"/"4"
- reruns: bool = True # wrap in the flake-rerun helper
- verbose: bool = False # -v
+ cwd: str = "tests/py/dynamo" # relative to repo root
+ paths: tuple[str, ...] = () # pytest positionals (rel to cwd); globs ok
+ markers: str | None = None # -m EXPR
+ keyword: str | None = None # -k EXPR
+ dist: str | None = None # --dist=loadscope
+ maxfail: int | None = None # --maxfail=N
+ ir: str | None = None # --ir torch_compile
+ jobs: str | None = None # xdist default: None=serial, "8"/"auto"/"4"
+ reruns: bool = True # wrap in the flake-rerun helper
+ verbose: bool = False # -v
variants: tuple[Variant, ...] = ALL_VARIANTS
- platforms: tuple[Platform, ...] = ALL_PLATFORMS # channels this suite runs on
- setup: tuple[str, ...] = () # named pre-steps: hub|executorch|cuda-core|mpi
- follow: tuple[tuple[str, ...], ...] = () # extra argv to run AFTER pytest
+ platforms: tuple[Platform, ...] = ALL_PLATFORMS # channels this suite runs on
+ setup: tuple[str, ...] = () # named pre-steps: hub|executorch|cuda-core|mpi
+ follow: tuple[tuple[str, ...], ...] = () # extra argv to run AFTER pytest
env: dict[str, str] = field(default_factory=dict)
overrides: dict[str, dict[str, Any]] = field(default_factory=dict) # per-variant
def for_variant(self, variant: Variant) -> dict[str, Any]:
"""This suite's effective fields for ``variant`` (applies overrides)."""
- base = {f: getattr(self, f) for f in (
- "cwd", "paths", "markers", "keyword", "dist", "maxfail",
- "ir", "jobs", "reruns", "verbose", "setup", "follow", "env",
- )}
+ base = {
+ f: getattr(self, f)
+ for f in (
+ "cwd",
+ "paths",
+ "markers",
+ "keyword",
+ "dist",
+ "maxfail",
+ "ir",
+ "jobs",
+ "reruns",
+ "verbose",
+ "setup",
+ "follow",
+ "env",
+ )
+ }
base.update(self.overrides.get(variant, {}))
return base
# ── L0 — smoke / fast lane ────────────────────────────────────────────────────
_L0: list[Suite] = [
Suite(
- "dynamo-converters", tier="l0", lanes=("fast", "full"),
- paths=("conversion/",), dist="--dist=loadscope", maxfail=20, jobs="8",
+ "dynamo-converters",
+ tier="l0",
+ lanes=("fast", "full"),
+ paths=("conversion/",),
+ dist="--dist=loadscope",
+ maxfail=20,
+ jobs="8",
# RTX does not shard converters with loadscope.
overrides={"rtx": {"dist": None}},
),
Suite(
- "dynamo-runtime-smoke", tier="l0", lanes=("fast", "full"),
- paths=("runtime/test_000_*",), jobs="8",
- ),
- Suite(
- "dynamo-partitioning-smoke", tier="l0", lanes=("fast", "full"),
- paths=("partitioning/test_000_*",), jobs="8",
+ "dynamo-runtime-smoke",
+ tier="l0",
+ lanes=("fast", "full"),
+ paths=("runtime/test_000_*",),
+ jobs="8",
+ ),
+ Suite(
+ "dynamo-partitioning-smoke",
+ tier="l0",
+ lanes=("fast", "full"),
+ paths=("partitioning/test_000_*",),
+ jobs="8",
# RTX runs the whole partitioning suite (no smoke subset split).
overrides={"rtx": {"paths": ("partitioning/",)}},
),
Suite(
- "dynamo-lowering", tier="l0", lanes=("fast", "full"),
- paths=("lowering/",), jobs="8",
- ),
- Suite(
- "py-core", tier="l0", lanes=("fast", "full"),
- cwd="tests/py/core", paths=(".",), jobs="8",
- ),
- Suite(
- "ts-api", tier="l0", lanes=("fast", "full"),
- cwd="tests/py/ts", paths=("api/",), setup=("hub",), variants=("standard",),
+ "dynamo-lowering",
+ tier="l0",
+ lanes=("fast", "full"),
+ paths=("lowering/",),
+ jobs="8",
+ ),
+ Suite(
+ "py-core",
+ tier="l0",
+ lanes=("fast", "full"),
+ cwd="tests/py/core",
+ paths=(".",),
+ jobs="8",
+ ),
+ Suite(
+ "ts-api",
+ tier="l0",
+ lanes=("fast", "full"),
+ cwd="tests/py/ts",
+ paths=("api/",),
+ setup=("hub",),
+ variants=("standard",),
),
]
# ── L1 — critical-path / full lane ────────────────────────────────────────────
_L1: list[Suite] = [
Suite(
- "dynamo-runtime", tier="l1", lanes=("full",),
- paths=("runtime/test_001_*",), jobs="8",
- ),
- Suite(
- "dynamo-partitioning", tier="l1", lanes=("full",),
- paths=("partitioning/test_001_*",), jobs="8", variants=("standard",),
+ "dynamo-runtime",
+ tier="l1",
+ lanes=("full",),
+ paths=("runtime/test_001_*",),
+ jobs="8",
+ ),
+ Suite(
+ "dynamo-partitioning",
+ tier="l1",
+ lanes=("full",),
+ paths=("partitioning/test_001_*",),
+ jobs="8",
+ variants=("standard",),
),
Suite(
# Was run in BOTH l0_core (std) and l1_dynamo_core (both) — deduped to once.
- "dynamo-hlo", tier="l1", lanes=("full",),
- paths=("hlo/",), jobs="8",
- ),
- Suite(
- "dynamo-models-critical", tier="l1", lanes=("full",),
- paths=("models/",), markers="critical",
- ),
- Suite(
- "torch-compile-backend", tier="l1", lanes=("full",),
+ "dynamo-hlo",
+ tier="l1",
+ lanes=("full",),
+ paths=("hlo/",),
+ jobs="8",
+ ),
+ Suite(
+ "dynamo-models-critical",
+ tier="l1",
+ lanes=("full",),
+ paths=("models/",),
+ markers="critical",
+ ),
+ Suite(
+ "torch-compile-backend",
+ tier="l1",
+ lanes=("full",),
paths=("backend/",),
),
Suite(
- "torch-compile-models-critical", tier="l1", lanes=("full",),
+ "torch-compile-models-critical",
+ tier="l1",
+ lanes=("full",),
paths=("models/test_models.py", "models/test_dyn_models.py"),
- markers="critical", ir="torch_compile",
- ),
- Suite(
- "ts-models", tier="l1", lanes=("full",),
- cwd="tests/py/ts", paths=("models/",), setup=("hub",), variants=("standard",),
+ markers="critical",
+ ir="torch_compile",
+ ),
+ Suite(
+ "ts-models",
+ tier="l1",
+ lanes=("full",),
+ cwd="tests/py/ts",
+ paths=("models/",),
+ setup=("hub",),
+ variants=("standard",),
),
]
# ── L2 — exhaustive / full + nightly ──────────────────────────────────────────
_L2: list[Suite] = [
Suite(
- "torch-compile-models", tier="l2", lanes=("full", "nightly"),
+ "torch-compile-models",
+ tier="l2",
+ lanes=("full", "nightly"),
paths=("models/test_models.py", "models/test_dyn_models.py"),
- markers="not critical", ir="torch_compile", jobs="auto",
- ),
- Suite(
- "dynamo-models", tier="l2", lanes=("full", "nightly"),
- paths=("models/",), markers="not critical", jobs="auto",
- ),
- Suite(
- "dynamo-llm", tier="l2", lanes=("nightly",),
- paths=("llm/",), jobs="auto",
- ),
- Suite(
- "dynamo-runtime-full", tier="l2", lanes=("full", "nightly"),
- paths=("runtime/",), keyword="not test_000_ and not test_001_", jobs="auto",
- ),
- Suite(
- "executorch", tier="l2", lanes=("nightly",),
- paths=("executorch/",), setup=("executorch",), jobs="auto",
- variants=("standard",), platforms=("linux-x86_64",),
+ markers="not critical",
+ ir="torch_compile",
+ jobs="auto",
+ ),
+ Suite(
+ "dynamo-models",
+ tier="l2",
+ lanes=("full", "nightly"),
+ paths=("models/",),
+ markers="not critical",
+ jobs="auto",
+ ),
+ Suite(
+ "dynamo-llm",
+ tier="l2",
+ lanes=("nightly",),
+ paths=("llm/",),
+ jobs="auto",
+ ),
+ Suite(
+ "dynamo-runtime-full",
+ tier="l2",
+ lanes=("full", "nightly"),
+ paths=("runtime/",),
+ keyword="not test_000_ and not test_001_",
+ jobs="auto",
+ ),
+ Suite(
+ "executorch",
+ tier="l2",
+ lanes=("nightly",),
+ paths=("executorch/",),
+ setup=("executorch",),
+ jobs="auto",
+ variants=("standard",),
+ platforms=("linux-x86_64",),
),
Suite(
# Standard: the automatic-plugin trio. RTX: the whole automatic_plugin dir.
# (The redundant conversion/ re-run from the old l2_plugin is dropped.)
- "plugins-automatic", tier="l2", lanes=("nightly",), jobs="auto",
+ "plugins-automatic",
+ tier="l2",
+ lanes=("nightly",),
+ jobs="auto",
paths=(
"automatic_plugin/test_automatic_plugin.py",
"automatic_plugin/test_automatic_plugin_with_attrs.py",
"automatic_plugin/test_flashinfer_rmsnorm.py",
),
overrides={"rtx": {"paths": ("automatic_plugin/",)}},
),
Suite(
- "kernels", tier="l2", lanes=("nightly",),
- cwd="tests/py/kernels", paths=(".",), setup=("cuda-core",), jobs="auto",
- variants=("standard",), platforms=("linux-x86_64",),
- ),
- Suite(
- "ts-integrations", tier="l2", lanes=("nightly",),
- cwd="tests/py/ts", paths=("integrations/",), setup=("hub",), jobs="auto",
- variants=("standard",),
- ),
- Suite(
- "distributed", tier="l2", lanes=("nightly",),
+ "kernels",
+ tier="l2",
+ lanes=("nightly",),
+ cwd="tests/py/kernels",
+ paths=(".",),
+ setup=("cuda-core",),
+ jobs="auto",
+ variants=("standard",),
+ platforms=("linux-x86_64",),
+ ),
+ Suite(
+ "ts-integrations",
+ tier="l2",
+ lanes=("nightly",),
+ cwd="tests/py/ts",
+ paths=("integrations/",),
+ setup=("hub",),
+ jobs="auto",
+ variants=("standard",),
+ ),
+ Suite(
+ "distributed",
+ tier="l2",
+ lanes=("nightly",),
paths=(
"distributed/test_nccl_ops.py",
"distributed/test_native_nccl.py",
"distributed/test_export_save_load.py",
),
- jobs="auto", verbose=True, reruns=False, variants=("standard",),
- platforms=("linux-x86_64",), setup=("mpi",),
+ jobs="auto",
+ verbose=True,
+ reruns=False,
+ variants=("standard",),
+ platforms=("linux-x86_64",),
+ setup=("mpi",),
env={"USE_HOST_DEPS": "1", "CI_BUILD": "1", "USE_TRTLLM_PLUGINS": "1"},
follow=(
- ("-m", "torch_tensorrt.distributed.run", "--nproc_per_node=2",
- "distributed/test_native_nccl.py", "--multirank"),
- ("-m", "torch_tensorrt.distributed.run", "--nproc_per_node=2",
- "distributed/test_export_save_load.py", "--multirank"),
+ (
+ "-m",
+ "torch_tensorrt.distributed.run",
+ "--nproc_per_node=2",
+ "distributed/test_native_nccl.py",
+ "--multirank",
+ ),
+ (
+ "-m",
+ "torch_tensorrt.distributed.run",
+ "--nproc_per_node=2",
+ "distributed/test_export_save_load.py",
+ "--multirank",
+ ),
),
),
]
# ── python-only — validates the PYTHON_ONLY=1 wheel against the runtime suite ──
_PYTHON_ONLY: list[Suite] = [
Suite(
- "python-only-runtime", tier="l1", lanes=("python-only",),
- paths=("runtime/",), jobs="8", variants=("standard",),
+ "python-only-runtime",
+ tier="l1",
+ lanes=("python-only",),
+ paths=("runtime/",),
+ jobs="8",
+ variants=("standard",),
),
]
SUITES: tuple[Suite, ...] = tuple(_L0 + _L1 + _L2 + _PYTHON_ONLY)
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There are some changes that do not conform to Python style guidelines:
--- /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/lowering/passes/eliminate_sym_min_int64_max.py 2026-07-18 21:15:09.391464+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/lowering/passes/eliminate_sym_min_int64_max.py 2026-07-18 21:15:37.895491+00:00
@@ -2,11 +2,10 @@
import torch
from torch.fx import GraphModule, Node
from .pass_utils import clean_up_graph_after_modifications
-
_INT64_MAX = 2**63 - 1
_SYM_MIN = getattr(torch, "sym_min", None)
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There was a problem hiding this comment.
There are some changes that do not conform to Python style guidelines:
--- /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/lowering/passes/eliminate_sym_min_int64_max.py 2026-07-22 21:04:56.996393+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/lowering/passes/eliminate_sym_min_int64_max.py 2026-07-22 21:05:19.118137+00:00
@@ -2,11 +2,10 @@
import torch
from torch.fx import GraphModule, Node
from .pass_utils import clean_up_graph_after_modifications
-
_INT64_MAX = 2**63 - 1
_SYM_MIN = getattr(torch, "sym_min", None)
TensorRT-RTX 1.5 ships a Linux aarch64 (SBSA) distribution that supports
DGX Spark (GB10, compute capability 12.1, experimental), but the repo only
wired up the x86_64 and Windows RTX archives. This adds the aarch64 RTX
archive and threads a rtx_sbsa config_setting (aarch64 + linux +
compute_libs=rtx) through the TensorRT selects, so USE_TRT_RTX=1 builds
resolve @tensorrt_rtx_sbsa on aarch64.
Build wiring:
- MODULE.bazel: add tensorrt_rtx_sbsa http_archive (aarch64 tarball).
- toolchains/ci_workspaces/MODULE.bazel.tmpl: same archive. CI REGENERATES
MODULE.bazel from this template (pre_build_script.sh: envsubst > MODULE.bazel),
so the real MODULE.bazel edit alone is not enough — the template must match
or the RTX aarch64 build fails 'no repository visible as @tensorrt_rtx_sbsa'.
- third_party/tensorrt_rtx/{archive,local}/BUILD: rtx_sbsa config_setting
+ lib/header/nvinfer selects (lib/libtensorrt_rtx.so, @cuda//:cudart).
- ~20 repo BUILD files: rtx_sbsa config_setting + a :rtx_sbsa select entry
mirroring :rtx_x86_64 (sourced from @tensorrt_rtx_sbsa).
Basic CI:
- .github/workflows/build-test-linux-aarch64_rtx.yml: mirrors the standard
SBSA build with use-rtx: true. BUILD-ONLY (no aarch64 GPU test runners).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
…esign
Add tests/ci/{suites,runner,__main__}.py — a typed, declarative suite manifest
plus one runner (`python -m tests.ci`) that replaces the trt_tier_* bash
functions as the source of truth for what each test job runs. Faithfully
reproduces today's tier selection (verified via --dry-run) while fixing the
junit-path collisions, the double-run of hlo/, and giving every suite the
uniform flake-rerun+repro wrapper.
- pyproject: register smoke/flaky markers; norecursedirs += ci
- justfile: doctor / suites / suite / lane / report recipes (thin callers)
- TESTING_AND_CI_DESIGN.md: full local + CI design (manifest+runner, lanes
without merge queue, GHA-cache caching, aggregated agent-friendly reports)
ci(test-dx): grant id-token: write at ci.yml top level The reusable build jobs (build_linux/build_windows) request 'id-token: write' for OIDC; a reusable workflow can't exceed its caller's permission ceiling, so ci.yml's top-level 'contents: read' made GitHub reject it (startup_failure: "nested job 'build' is requesting 'id-token: write', but is only allowed 'id-token: none'"). Grant id-token: write + contents: read, matching the original per-platform entry workflows.
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There are some changes that do not conform to Python style guidelines:
--- /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/lowering/passes/eliminate_sym_min_int64_max.py 2026-07-23 01:33:23.699138+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/lowering/passes/eliminate_sym_min_int64_max.py 2026-07-23 01:33:51.921970+00:00
@@ -2,11 +2,10 @@
import torch
from torch.fx import GraphModule, Node
from .pass_utils import clean_up_graph_after_modifications
-
_INT64_MAX = 2**63 - 1
_SYM_MIN = getattr(torch, "sym_min", None)
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