Pipeline is similar to examples presented in the repository deepstream_python_apps : source decodebin (eg uridecodebin) → nvvideconvert “video/x-raw(memory:NVMM), format=RGBA” → nvstreammux → … → fakesink. For sink I added a probe where I use pyds.get_nvds_buf_surface (that’s the reason for RGBA con…

@fanzh I’ve submitted a PR Add binding to unmap NvBuSurface if it has been mapped by tomskikh · Pull Request #6 · NVIDIA-AI-IOT/deepstream_python_apps · GitHub Memory doesn’t leak if I unmap buffers after using get_nvds_buf_surface .

could you provide more memory log according to DeepStream SDK FAQ - #14 by mchi ? Testing dsapp_test.py on DGPU t4, there is an error “Error: gst-stream-error-quark: memory type configured and i/p buffer mismatch ip_surf 0 muxer 3 (1): gstnvstreammux.c(619): gst_nvstreammux_chain (): /GstPipeline:pi…

1.log (3.1 KB) I tested on dGPU NVIDIA GeForce RTX 3070 Laptop GPU, Driver Version: 520.56.06 using docker from nvcr.io/nvidia/deepstream:6.1.1-base and didn’t see any errors or warnings…

on xavier, when I remove probe pad_buffer_probe, there will be no leak, is this custom code? can you narrow down this issue?

I actually have a much larger pipeline, this is just a simple example to reproduce the issue. There are several pad probes in the pipeline, some of them require access to the frame (eg. to make some preprocessing for a model/nvinfer). So I move to “video/x-raw(memory:NVMM), format=RGBA” in the app a…

the code in pad_buffer_probe will cause leak, please check which line will cause leak, about get_nvds_buf_surface, you can refer to python sample: deepstream_python_apps/deepstream_imagedata-multistream.py at master · NVIDIA-AI-IOT/deepstream_python_apps · GitHub

The code in pad_buffer_probe is similar to the code you mentioned, except n_frame.tobytes() operation. If you comment this operation, only VIRT memory leaks. What does it mean? I can’t use any heavy operations in probe, or copy frame? But there are no such restrictions in the documentation. And VIRT…

here is the doc about get_nvds_buf_surface get_segmentation_masks — Deepstream Deepstream Version: 6.0.1 documentation please check how to use NumPy .

This function returns the frame in NumPy format. Only RGBA format is supported. For x86_64, only unified memory is supported. For Jetson, the buffer is mapped to CPU memory. that’s why I use nvvideoconvert with “video/x-raw(memory:NVMM), format=RGBA” and set nvbuf-memory-type for dGPU in nvstrea…

[image] denisvmedyantsev: The question is the same as at the very beginning, still relevant: what’s wrong with the app on Jetson? why will you use “n_frame.tobytes()”? in deepstream_python_apps, there is no this kind of using, as you know, it is NumPy usage issue, not deepstream’s issue.

Memory leak on Xavier NX

Accelerated Computing Intelligent Video Analytics DeepStream SDK

fanzh November 20, 2022, 1:35am 4

could you provide more memory log according to DeepStream SDK FAQ - #14 by mchi?
Testing dsapp_test.py on DGPU t4, there is an error “Error: gst-stream-error-quark: memory type configured and i/p buffer mismatch ip_surf 0 muxer 3 (1): gstnvstreammux.c(619): gst_nvstreammux_chain (): /GstPipeline:pipeline0/GstNvStreamMux:streammux”.

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Memory leak on Xavier NX

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