nvtx Python package
Installation
Install using conda:
conda install -c conda-forge nvtx
...or using pip:
python -m pip install nvtx
Quick start
-
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()
-
Use NVIDIA Nsight Systems to collect profile data:
nsys profile -t nvtx python demo.py -
Visualize the results using the Nsight systems GUI:
Documentation
See here for detailed docs.
Release Notes
0.2.16
- Add support for counter annotations through the NVTX Counters extension.
- Add
nvtx.writerfor 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_DISABLEenvironment variable toProfileclass.
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
domainobject for better performance. - No-OP when domain is disabled.
- Improved documentation.
Release files for nvtx 0.2.16
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nvtx-0.2.16.tar.gz | 193.1 kB | Details |
Built distributions (wheels)
Total release size: 44.7 MB
Release files / nvtx-0.2.16.tar.gz
| Download URL | nvtx-0.2.16.tar.gz |
|---|---|
| Size | 193.1 kB |
| Tags | Source |
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Release files / nvtx-0.2.16-cp314-cp314t-win_arm64.whl
| Download URL | nvtx-0.2.16-cp314-cp314t-win_arm64.whl |
|---|---|
| Size | 396.5 kB |
| Tags | CPython 3.14 CPython 3.14 free-threading Windows ARM64 |
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twine/7.0.0 CPython/3.14.6
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Release files / nvtx-0.2.16-cp314-cp314t-win_amd64.whl
| Download URL | nvtx-0.2.16-cp314-cp314t-win_amd64.whl |
|---|---|
| Size | 435.6 kB |
| Tags | CPython 3.14 CPython 3.14 free-threading Windows x86-64 |
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Release files / nvtx-0.2.16-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
| Download URL | nvtx-0.2.16-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl |
|---|---|
| Size | 2.7 MB |
| Tags | CPython 3.14 CPython 3.14 free-threading Linux glibc 2.17+ x86-64 Linux glibc 2.28+ x86-64 |
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Release files / nvtx-0.2.16-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl
| Download URL | nvtx-0.2.16-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl |
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| Size | 2.8 MB |
| Tags | CPython 3.14 CPython 3.14 free-threading Linux glibc 2.17+ ARM64 Linux glibc 2.28+ ARM64 |
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Release files / nvtx-0.2.16-cp314-cp314-win_arm64.whl
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Release files / nvtx-0.2.16-cp314-cp314-win_amd64.whl
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Release files / nvtx-0.2.16-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
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Release files / nvtx-0.2.16-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl
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Release files / nvtx-0.2.16-cp313-cp313-win_arm64.whl
| Download URL | nvtx-0.2.16-cp313-cp313-win_arm64.whl |
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Release files / nvtx-0.2.16-cp313-cp313-win_amd64.whl
| Download URL | nvtx-0.2.16-cp313-cp313-win_amd64.whl |
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Release files / nvtx-0.2.16-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
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Release files / nvtx-0.2.16-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl
| Download URL | nvtx-0.2.16-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl |
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| Size | 2.8 MB |
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Release files / nvtx-0.2.16-cp312-cp312-win_arm64.whl
| Download URL | nvtx-0.2.16-cp312-cp312-win_arm64.whl |
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Release files / nvtx-0.2.16-cp312-cp312-win_amd64.whl
| Download URL | nvtx-0.2.16-cp312-cp312-win_amd64.whl |
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Release files / nvtx-0.2.16-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
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| Size | 2.8 MB |
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Release files / nvtx-0.2.16-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl
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| Size | 2.8 MB |
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Release files / nvtx-0.2.16-cp311-cp311-win_arm64.whl
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Release files / nvtx-0.2.16-cp311-cp311-win_amd64.whl
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| Download URL | nvtx-0.2.16-cp310-cp310-win_amd64.whl |
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| Size | 2.8 MB |
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| Size | 2.7 MB |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.6
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Release files / nvtx-0.2.16-cp39-cp39-win_arm64.whl
| Download URL | nvtx-0.2.16-cp39-cp39-win_arm64.whl |
|---|---|
| Size | 379.4 kB |
| Tags | CPython 3.9 Windows ARM64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.6
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Release files / nvtx-0.2.16-cp39-cp39-win_amd64.whl
| Download URL | nvtx-0.2.16-cp39-cp39-win_amd64.whl |
|---|---|
| Size | 407.9 kB |
| Tags | CPython 3.9 Windows x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.6
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Release files / nvtx-0.2.16-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
| Download URL | nvtx-0.2.16-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl |
|---|---|
| Size | 2.7 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 Linux glibc 2.28+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.6
|
Release files / nvtx-0.2.16-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl
| Download URL | nvtx-0.2.16-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl |
|---|---|
| Size | 2.7 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ ARM64 Linux glibc 2.28+ ARM64 |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.6
|
