Commit Graph
5 Commits
Author SHA1 Message Date
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>Josh Hawkins
a6b2a29c4c Bump protobuf from 3.20.3 to 5.29.6 in /docker/tensorrt in the pip-trt-security group across 1 directory (#24825)
CI / AMD64 Build (push) Waiting to run
CI / AMD64 Smoke Test (push) Blocked by required conditions
CI / ARM Build (push) Waiting to run
CI / Jetson Jetpack 6 (push) Waiting to run
CI / AMD64 Extra Build (push) Blocked by required conditions
CI / ARM Extra Build (push) Blocked by required conditions
CI / Synaptics Build (push) Blocked by required conditions
CI / Assemble and push default build (push) Blocked by required conditions
* Bump protobuf

Bumps the pip-trt-security group with 1 update in the /docker/tensorrt directory: [protobuf](https://developers.google.com/protocol-buffers/).


Updates `protobuf` from 3.20.3 to 5.29.6

---
updated-dependencies:
- dependency-name: protobuf
  dependency-version: 5.29.6
  dependency-type: direct:production
  dependency-group: pip-trt-security
...

Signed-off-by: dependabot[bot] <support@github.com>

* keep amd64 tensorrt protobuf on 7.36

Dependabot moved every protobuf pin in docker/tensorrt to 5.29, but the security alerts only cover the aarch64 pin. On amd64 that would downgrade protobuf below what TensorFlow 2.21 requires (>=6.31.1), and the image would build with a pip warning and fail at import tensorflow. This keeps the aarch64 change to 5.29.6, which is the same change verified on #24350 (onnx 1.14.0 and TensorFlow 2.19 both work on it).

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
2026-10-29 14:04:22 -05:00
Nicolas MowenandGitHub 9c5e560668 Deps updates (#20133) 2025-09-19 06:02:02 -05:00
Andrew ReiterandGitHub 7d3e5c9c4c Revert numpy upgrade (#7341)
* Revert numpy upgrade

* Upgrade arm64 onnx version to match amd64

* Increase CODEOWNERS granularity

Not sure if it has an effect since I don't have repository write access
2023-07-31 21:45:50 -05:00
Nate MeyerandGitHub b42e995f0f Update OpenVINO 2022.3.1 (#7319)
* Use build platform for running OpenVino model conversion

* Update OpenVINO to 2022.3.1 and upgrade numpy
2023-07-28 19:27:53 -05:00
Andrew ReiterandGitHub a96a951e23 Nvidia Jetson ffmpeg + TensorRT support (#6458)
* Non-Jetson changes

Required for later commits:
- Allow base image to be overridden (and don't assume its WORKDIR)
- Ensure python3.9
- Map hwaccel decode presets as strings instead of lists
Not required:
- Fix existing documentation
- Simplify hwaccel scale logic

* Prepare for multi-arch tensorrt build

* Add tensorrt images for Jetson boards

* Add Jetson ffmpeg hwaccel

* Update docs

* Add CODEOWNERS

* CI

* Change default model from yolov7-tiny-416 to yolov7-320

In my experience the tiny models perform markedly worse without being
much faster

* fixup! Update docs
2023-07-26 05:50:41 -05:00