Mirrors/blakeblackshear.frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2024-11-21 19:07:46 +01:00
Code Issues Projects Releases Wiki Activity

Pass computes value to libyolo_layer build (#10210)

Browse Source
This commit is contained in:
Nate Meyer 2024-03-05 07:04:13 -05:00 committed by GitHub
parent 30b68e59f2
commit 390403d957
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
4 changed files with 9 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
docker/tensorrt/Dockerfile.base
View File

@ -8,6 +8,8 @@ ARG TRT_BASE=nvcr.io/nvidia/tensorrt:23.03-py3
# Build TensorRT-specific library # Build TensorRT-specific library
FROM ${TRT_BASE} AS trt-deps FROM ${TRT_BASE} AS trt-deps
ARG COMPUTE_LEVEL
RUN apt-get update \ RUN apt-get update \
&& apt-get install -y git build-essential cuda-nvcc-* cuda-nvtx-* libnvinfer-dev libnvinfer-plugin-dev libnvparsers-dev libnvonnxparsers-dev \ && apt-get install -y git build-essential cuda-nvcc-* cuda-nvtx-* libnvinfer-dev libnvinfer-plugin-dev libnvparsers-dev libnvonnxparsers-dev \
&& rm -rf /var/lib/apt/lists/* && rm -rf /var/lib/apt/lists/*

2
docker/tensorrt/detector/tensorrt_libyolo.sh
View File

@ -11,7 +11,7 @@ git clone --depth 1 https://github.com/NateMeyer/tensorrt_demos.git -b condition
if [ ! -e /usr/local/cuda ]; then if [ ! -e /usr/local/cuda ]; then
ln -s /usr/local/cuda-* /usr/local/cuda ln -s /usr/local/cuda-* /usr/local/cuda
fi fi
cd ./tensorrt_demos/plugins && make all -j$(nproc) cd ./tensorrt_demos/plugins && make all -j$(nproc) computes="${COMPUTE_LEVEL:-}"
cp libyolo_layer.so /usr/local/lib/libyolo_layer.so cp libyolo_layer.so /usr/local/lib/libyolo_layer.so
# Store yolo scripts for later conversion # Store yolo scripts for later conversion

6
docker/tensorrt/trt.hcl
View File

@ -10,12 +10,16 @@ variable "SLIM_BASE" {
variable "TRT_BASE" { variable "TRT_BASE" {
default = null default = null
} }
variable "COMPUTE_LEVEL" {
default = ""
}
target "_build_args" { target "_build_args" {
args = { args = {
BASE_IMAGE = BASE_IMAGE, BASE_IMAGE = BASE_IMAGE,
SLIM_BASE = SLIM_BASE, SLIM_BASE = SLIM_BASE,
TRT_BASE = TRT_BASE TRT_BASE = TRT_BASE,
COMPUTE_LEVEL = COMPUTE_LEVEL
} }
platforms = ["linux/${ARCH}"] platforms = ["linux/${ARCH}"]
} }

2
docker/tensorrt/trt.mk
View File

@ -2,7 +2,7 @@ BOARDS += trt
JETPACK4_BASE ?= timongentzsch/l4t-ubuntu20-opencv:latest # L4T 32.7.1 JetPack 4.6.1 JETPACK4_BASE ?= timongentzsch/l4t-ubuntu20-opencv:latest # L4T 32.7.1 JetPack 4.6.1
JETPACK5_BASE ?= nvcr.io/nvidia/l4t-tensorrt:r8.5.2-runtime # L4T 35.3.1 JetPack 5.1.1 JETPACK5_BASE ?= nvcr.io/nvidia/l4t-tensorrt:r8.5.2-runtime # L4T 35.3.1 JetPack 5.1.1
X86_DGPU_ARGS := ARCH=amd64 X86_DGPU_ARGS := ARCH=amd64 COMPUTE_LEVEL="50 60 70 80 90"
JETPACK4_ARGS := ARCH=arm64 BASE_IMAGE=$(JETPACK4_BASE) SLIM_BASE=$(JETPACK4_BASE) TRT_BASE=$(JETPACK4_BASE) JETPACK4_ARGS := ARCH=arm64 BASE_IMAGE=$(JETPACK4_BASE) SLIM_BASE=$(JETPACK4_BASE) TRT_BASE=$(JETPACK4_BASE)
JETPACK5_ARGS := ARCH=arm64 BASE_IMAGE=$(JETPACK5_BASE) SLIM_BASE=$(JETPACK5_BASE) TRT_BASE=$(JETPACK5_BASE) JETPACK5_ARGS := ARCH=arm64 BASE_IMAGE=$(JETPACK5_BASE) SLIM_BASE=$(JETPACK5_BASE) TRT_BASE=$(JETPACK5_BASE)