[BUG] pyservicemaker: Buffer.extract() returns a null tensor that segfaults on use for non-RGB surfaces or an out-of-range batch_id
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Nadie ha tomado este issue todavía.
Evaluación
- Dificultad
- 3/5
- Tiempo estimado
- 1-2 días
- Aptitud para principiantes
- 72/100
- Tipo de issue
- Error
- Claridad
- Bien especificado
- Estado de actividad
- Activo
- Área
- backend, computer-vision
Línea de trabajo
Start with Buffer::extract() in src/service-maker/sources/core/src/buffer.cpp and the Python binding in src/service-maker/sources/python/src/bindings/buffer.h. Trace how an unsupported surface format and an out-of-range batch_id reach the returned tensor, then run the provided repro.py with RGBA, NV12, and RGB. Done means invalid inputs fail safely and the reported reproductions no longer segfault; RGBA support is described as an additional possibility, not a required fix.
Escrito por el modelo de indexación a partir del texto del issue.
Descripción
Describe the bug
Buffer.extract(batch_id) returns a Tensor object even when it cannot extract anything. Using that object (here reading tensor.shape) segfaults the process. This happens in two cases:
- The surface is not RGB, for example RGBA or NV12. RGBA is the format
nvdsosdandnvmultistreamtilerwork in, so this is the format an application is most likely to have. batch_idis not below the number of frames in the batch.
In both cases the only hint is a g_printerr line, "Only RGB format is supported for being extracted as a tensor", which is also misleading in the second case.
Buffer::extract() leaves tensor as nullptr for every surface that is not RGB and returns it after the g_printerr. It reads surface_batch->surfaceList[batchId] without checking batchId against numFilled, so an out-of-range id reads past the end of the list (here the read colour format is not RGB, so it ends in the same nullptr). The Python binding wraps the result in TensorWrapper without checking for nullptr.
Steps/Code to reproduce bug
Save as repro.py:
import faulthandler
import sys
from pyservicemaker import BufferOperator, Pipeline, Probe
faulthandler.enable()
class Extract(BufferOperator):
def __init__(self):
super().__init__()
self.done = False
def handle_buffer(self, buffer):
if not self.done:
self.done = True
tensor = buffer.extract(0)
print(f"extract(0) returned {type(tensor).__name__}", flush=True)
print(f"shape {tensor.shape}", flush=True)
return True
pipeline = Pipeline("extract")
pipeline.add("videotestsrc", "src", {"num-buffers": 30})
pipeline.add("nvvideoconvert", "conv", {})
pipeline.add("capsfilter", "caps", {"caps": f"video/x-raw(memory:NVMM), format={sys.argv[1]}"})
pipeline.add("fakesink", "sink", {"sync": False})
pipeline.link("src", "conv", "caps", "sink")
pipeline.attach("caps", Probe("extract", Extract()))
pipeline.start()
pipeline.wait()
print("wait() returned")
Run it in the stock container (pyyaml is installed first because import pyservicemaker needs it, see #98):
docker run --rm --gpus all -v "$PWD":/repro --entrypoint bash nvcr.io/nvidia/deepstream:9.1-triton-multiarch \
-c "pip install -q --break-system-packages pyyaml && python3 /repro/repro.py RGBA; echo exit code \$?"
RGB works:
extract(0) returned Tensor
shape (240, 320, 3)
...
wait() returned
exit code 0
RGBA and NV12 segfault on tensor.shape:
Only RGB format is supported for being extracted as a tensor
extract(0) returned Tensor
Fatal Python error: Segmentation fault
Current thread 0x00007798613fd6c0 (most recent call first):
File "/repro/repro.py", line 19 in handle_buffer
...
exit code 139
With RGB and buffer.extract(1) in place of buffer.extract(0) (a batch of one frame), the output is the same: the "Only RGB format" line, then a segfault, exit code 139.
Expected behavior
extract()raises a Python exception (for exampleValueError) when the surface format is not supported orbatch_idis out of range, or returnsNone. It never returns an object that crashes on use.extract()checksbatch_idagainstnumFilled.- If possible,
extract()also supports RGBA (shape(height, width, 4), strides(pitch, 4, 1)). Today an application that needs pixels afternvdsosdor the tiler has to add annvvideoconvertto RGB only for this.
Environment details
- Environment location: Docker on bare-metal (Ubuntu 26.04.1 LTS host, RTX A4000 Laptop GPU, driver 595.99.02)
- Method of DeepStream install: Docker,
nvcr.io/nvidia/deepstream:9.1-triton-multiarch(digestsha256:fd31f5b44ababdbdee8cd397a375e888191b49e402ac237254a4cdc239130f5b), DeepStream 9.1.0, pyservicemaker 0.0.1, TensorRT 10.16.0.72, CUDA 13.2 - Docker command: see the steps above
scripts/print_env.shoutput, run inside the same container:
Click here to see environment details
**git*** Not inside a git repository ***OS Information*** DISTRIB_ID=Ubuntu DISTRIB_RELEASE=24.04 DISTRIB_CODENAME=noble DISTRIB_DESCRIPTION="Ubuntu 24.04.4 LTS" PRETTY_NAME="Ubuntu 24.04.4 LTS" NAME="Ubuntu" VERSION_ID="24.04" VERSION="24.04.4 LTS (Noble Numbat)" VERSION_CODENAME=noble ID=ubuntu ID_LIKE=debian HOME_URL="https://www.ubuntu.com/" SUPPORT_URL="https://help.ubuntu.com/" BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/" PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy" UBUNTU_CODENAME=noble LOGO=ubuntu-logo Linux b5ade298bb5a 7.0.0-38-generic #38-Ubuntu SMP PREEMPT_DYNAMIC Fri Sep 4 09:10:14 UTC 2026 x86_64 x86_64 x86_64 GNU/Linux ***GPU Information*** Thu Oct 22 14:52:51 2026 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 595.99.02 Driver Version: 595.99.02 CUDA Version: 13.2 | +-----------------------------------------+------------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 NVIDIA RTX A4000 Laptop GPU Off | 00000000:01:00.0 Off | N/A | | N/A 63C P0 25W / 80W | 161MiB / 8192MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | No running processes found | +-----------------------------------------------------------------------------------------+ ***CPU*** Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Address sizes: 39 bits physical, 48 bits virtual Byte Order: Little Endian CPU(s): 16 On-line CPU(s) list: 0-15 Vendor ID: GenuineIntel Model name: 11th Gen Intel(R) Core(TM) i9-11950H @ 2.60GHz CPU family: 6 Model: 141 Thread(s) per core: 2 Core(s) per socket: 8 Socket(s): 1 Stepping: 1 CPU(s) scaling MHz: 42% CPU max MHz: 5000.0000 CPU min MHz: 800.0000 BogoMIPS: 5222.40 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l2 cdp_l2 ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb intel_pt avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves split_lock_detect user_shstk dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp hwp_pkg_req vnmi avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq rdpid movdiri movdir64b fsrm avx512_vp2intersect md_clear ibt flush_l1d arch_capabilities Virtualization: VT-x L1d cache: 384 KiB (8 instances) L1i cache: 256 KiB (8 instances) L2 cache: 10 MiB (8 instances) L3 cache: 24 MiB (1 instance) NUMA node(s): 1 NUMA node0 CPU(s): 0-15 Vulnerability Gather data sampling: Vulnerable Vulnerability Ghostwrite: Not affected Vulnerability Indirect target selection: Mitigation; Aligned branch/return thunks Vulnerability Itlb multihit: Not affected Vulnerability L1tf: Not affected Vulnerability Mds: Not affected Vulnerability Meltdown: Not affected Vulnerability Mmio stale data: Not affected Vulnerability Old microcode: Not affected Vulnerability Reg file data sampling: Not affected Vulnerability Retbleed: Not affected Vulnerability Spec rstack overflow: Not affected Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization Vulnerability Spectre v2: Mitigation; Enhanced / Automatic IBRS; IBPB conditional; PBRSB-eIBRS SW sequence; BHI SW loop, KVM SW loop Vulnerability Srbds: Not affected Vulnerability Tsa: Not affected Vulnerability Tsx async abort: Not affected Vulnerability Vmscape: Not affected ***CMake*** /usr/bin/cmake cmake version 3.28.3 CMake suite maintained and supported by Kitware (kitware.com/cmake). ***g++*** /usr/bin/g++ g++ (Ubuntu 13.3.0-6ubuntu2~24.04.1) 13.3.0 Copyright (C) 2023 Free Software Foundation, Inc. This is free software; see the source for copying conditions. There is NO warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. ***nvcc*** /usr/local/cuda/bin/nvcc nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2026 NVIDIA Corporation Built on Mon_Mar_02_09:52:23_PM_PST_2026 Cuda compilation tools, release 13.2, V13.2.51 Build cuda_13.2.r13.2/compiler.37434383_0 ***Python*** ***Environment Variables*** PATH : /opt/proto/bin:/opt/tritonserver/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/mpi/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/amazon/efa/bin:/.local/bin LD_LIBRARY_PATH : /opt/tritonserver/lib:/opt/tritonclient/lib:/usr/src/tensorrt/lib:/opt/riva/lib:/usr/local/cuda-13/lib64:/usr/lib/x86_64-linux-gnu:/opt/hpcx/ucc/lib/:/opt/hpcx/ucx/lib/:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/.local/lib NUMBAPRO_NVVM : NUMBAPRO_LIBDEVICE : CONDA_PREFIX : PYTHON_PATH : conda not found ***pip packages*** /usr/bin/pip Package Version ------------------- --------------- annotated-doc 0.0.4 annotated-types 0.7.0 anyio 4.12.1 apparmor 4.0.1 certifi 2026.2.25 cupy-cuda13x 13.6.0 distlib 0.4.0 distro 1.9.0 fastapi 0.138.1 fastrlock 0.8.3 filelock 3.25.2 h11 0.16.0 httpcore 1.0.9 httpx 0.27.2 idna 3.11 iniconfig 2.3.0 jaraco.context 6.1.0 jiter 0.13.0 LibAppArmor 4.0.1 numpy 1.26.4 openai 1.107.3 packaging 24.0 partial-json-parser 0.2.1.1.post7 pip 24.0 platformdirs 4.9.4 pluggy 1.6.0 pydantic 2.10.6 pydantic_core 2.27.2 Pygments 2.19.2 pyservicemaker 0.0.1 pytest 9.0.2 python-apt 2.7.7+ubuntu5.2 python-discovery 1.1.3 scipy 1.16.3 setuptools 78.1.1 sniffio 1.3.1 starlette 0.52.1 tqdm 4.67.3 tritonfrontend 2.67.0 tritonserver 0.0.0 typing_extensions 4.15.0 typing-inspection 0.4.2 virtualenv 21.2.0 wheel 0.42.0
Additional context
The segfault ends the process with no Python traceback unless faulthandler is enabled, so in a service it looks like a crash with no cause. The aarch64 branch of Buffer::extract() has the same nullptr return for non-RGB surfaces.
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