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nvtx Python package

Installation

Install using conda:

conda install -c conda-forge nvtx

...or using pip:

python -m pip install nvtx

Quick start

  1. Annotate the parts of your Python code you wish to profile/analyze:

    # demo.py
    
    import time
    import nvtx
    
    @nvtx.annotate(color="blue")
    def my_function():
        for i in range(5):
            with nvtx.annotate("my_loop", color="red"):
                time.sleep(i)
    
    my_function()
    
  2. Use NVIDIA Nsight Systems to collect profile data:

    nsys profile -t nvtx python demo.py
    
  3. Visualize the results using the Nsight systems GUI:

    demo

Documentation

See here for detailed docs.

Release Notes

0.2.16

  • Add support for counter annotations through the NVTX Counters extension.
  • Add nvtx.writer for writing pre-collected events and counter samples (NVTXW).
  • Drop support for Python 3.8.
  • Fix several payload-handling edge cases.

0.2.15

  • Extend Domain API to accept keyword arguments for event attributes.
  • Implement testing improvements.

0.2.14

  • Add support for NumPy arrays as payloads.
  • Set up support for free-threaded Python.
  • Apply NVTX_DISABLE environment variable to Profile class.

0.2.13

  • Fix tracing with tools that do not implement nvtxDomainIsEnabled.
  • Fix decorator ranges not ending when an exception is thrown.
  • Fix automatic function name annotation for decorator ranges.

0.2.12

  • Expose API via domain object for better performance.
  • No-OP when domain is disabled.
  • Improved documentation.

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