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Changed to update image version
ci/woodpecker/push/02-build-push Pipeline failed
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Roman Meshko
2026-05-31 16:25:23 +03:00
parent a637683731
commit 5d1b00c8b6
4 changed files with 6 additions and 6 deletions
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Dockerfile.jetson
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@@ -1,4 +1,4 @@
FROM nvcr.io/nvidia/l4t-jetpack:r36.2.0 FROM nvcr.io/nvidia/l4t-jetpack:r36.4.0
ARG CI_COMMIT_SHA=unknown ARG CI_COMMIT_SHA=unknown
ENV AZAION_REVISION=$CI_COMMIT_SHA ENV AZAION_REVISION=$CI_COMMIT_SHA
@@ -6,6 +6,7 @@ RUN apt-get update && apt-get install -y \
python3 python3-pip python3-dev gcc \ python3 python3-pip python3-dev gcc \
libgl1 libglib2.0-0 \ libgl1 libglib2.0-0 \
python3-libnvinfer python3-libnvinfer-dev \ python3-libnvinfer python3-libnvinfer-dev \
python3-pycuda \
&& rm -rf /var/lib/apt/lists/* && rm -rf /var/lib/apt/lists/*
_docs/02_tasks/done/AZ-180_jetson_orin_nano_support.md
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@@ -2,7 +2,7 @@
**Task**: AZ-180_jetson_orin_nano_support **Task**: AZ-180_jetson_orin_nano_support
**Name**: Jetson Orin Nano Support **Name**: Jetson Orin Nano Support
**Description**: Run the detection service on NVIDIA Jetson Orin Nano with a JetPack 6.x container image, INT8 engine conversion using a pre-generated calibration cache, and docker-compose configuration. **Description**: Run the detection service on NVIDIA Jetson Orin Nano with a JetPack 6.2.x-compatible container image, INT8 engine conversion using a pre-generated calibration cache, and docker-compose configuration.
**Complexity**: 5 points **Complexity**: 5 points
**Dependencies**: None **Dependencies**: None
**Component**: Deployment + Inference Engine **Component**: Deployment + Inference Engine
@@ -75,7 +75,7 @@ Then the detections service is reachable on port 8080
## Non-Functional Requirements ## Non-Functional Requirements
**Compatibility** **Compatibility**
- JetPack 6.x (CUDA 12.2, TensorRT 10.x) - JetPack 6.2.x-compatible container (`nvcr.io/nvidia/l4t-jetpack:r36.4.0`, CUDA 12.6 / TensorRT 10.3 compute stack)
- Jetson Orin Nano (aarch64, SM 8.7) - Jetson Orin Nano (aarch64, SM 8.7)
**Reliability** **Reliability**
_docs/04_deploy/containerization.md
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@@ -119,7 +119,7 @@ Already exists: `e2e/docker-compose.test.yml`. No changes needed — supports bo
| Aspect | Specification | | Aspect | Specification |
|--------|--------------| |--------|--------------|
| Base image | `nvcr.io/nvidia/l4t-base:r36.3.0` (JetPack 6.x, aarch64) | | Base image | `nvcr.io/nvidia/l4t-jetpack:r36.4.0` (JetPack 6.2.x-compatible, aarch64) |
| TensorRT | Pre-installed via JetPack — `python3-libnvinfer` apt package (NOT pip) | | TensorRT | Pre-installed via JetPack — `python3-libnvinfer` apt package (NOT pip) |
| PyCUDA | Pre-installed via JetPack — `python3-pycuda` apt package (NOT pip) | | PyCUDA | Pre-installed via JetPack — `python3-pycuda` apt package (NOT pip) |
| Build stages | Single stage (Cython compile requires gcc) | | Build stages | Single stage (Cython compile requires gcc) |
@@ -129,7 +129,7 @@ Already exists: `e2e/docker-compose.test.yml`. No changes needed — supports bo
| Runtime | Requires NVIDIA Container Runtime (`runtime: nvidia` in docker-compose) | | Runtime | Requires NVIDIA Container Runtime (`runtime: nvidia` in docker-compose) |
**Jetson-specific behaviour**: **Jetson-specific behaviour**:
- `requirements-jetson.txt` derives from `requirements.txt` — `tensorrt` and `pycuda` are excluded from pip and provided by JetPack - `requirements-jetson.txt` derives from `requirements.txt` — `tensorrt` and `pycuda` are excluded from pip; TensorRT and PyCUDA are installed from the JetPack/L4T apt packages in `Dockerfile.jetson`
- Engine filename auto-encodes CC+SM (e.g. `azaion.cc_8.7_sm_16.engine` for Orin Nano), ensuring the Jetson engine is distinct from any x86-cached engine - Engine filename auto-encodes CC+SM (e.g. `azaion.cc_8.7_sm_16.engine` for Orin Nano), ensuring the Jetson engine is distinct from any x86-cached engine
- INT8 is used when `azaion.int8_calib.cache` is available on the Loader service; precision suffix appended to engine filename (`*.int8.engine`); FP16 fallback when cache is absent - INT8 is used when `azaion.int8_calib.cache` is available on the Loader service; precision suffix appended to engine filename (`*.int8.engine`); FP16 fallback when cache is absent
- `docker-compose.jetson.yml` uses `runtime: nvidia` for the NVIDIA Container Runtime - `docker-compose.jetson.yml` uses `runtime: nvidia` for the NVIDIA Container Runtime
requirements-jetson.txt
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@@ -12,4 +12,3 @@ requests==2.32.4
loguru==0.7.3 loguru==0.7.3
av==14.2.0 av==14.2.0
xxhash==3.5.0 xxhash==3.5.0
pycuda