#
trt
Here are 8 public repositories matching this topic...
Optimised object-oriented multi-threaded generic computational fluid dynamics (CFD) code for three-dimensional incompressible fluid flow on a regular grid with the incompressible lattice-Boltzmann method (LBM) for general lattices (D2Q9, D3Q15, D3Q19, D3Q27, ...) with A-A pattern for indexing - programmed in C++17, multi-threaded with OpenMP
multi-threading
hpc
openmp
fluid
high-performance-computing
cfd
fluid-dynamics
computational-fluid-dynamics
3d
fluid-simulation
lattice-boltzmann
lbm
three-dimensional
incompressible-flow
incompressible
bgk
d3q19
d3q27
trt
aa-pattern
-
Updated
Apr 25, 2021 - C++
Jetbot-Project related script
notebook
joystick
gamepad
collision-avoidance
road
joystick-control
image-acquisition
jetbot
jetson-nano
jetson-nano-device
trt
jetracer
roadfollowing-jetbot
coral-usb-accelerator
-
Updated
Oct 12, 2021 - Jupyter Notebook
Export (from Onnx) and Inference TensorRT engine with C++.
tensorrt
trt
tensorrt-inference
dynamic-shape
tensorrt-parser-cpp
batchsize
tensorrt-convert-cpp
tensorrt-cpp
onnx-tensorrt-cpp
multiple-inputs-tensorrt
tensorrt-switch-gpu
-
Updated
Oct 22, 2021 - C++
TURK Streaming Sripting
m3u8-playlist
kodi
turkish
m3u8
vlc
vlc-player
vlc-media-player
m3u
m3u-playlist
m3u-parser
m3u8-videos
m3u8-parser
xtream-codes
xtream
trt
albdroid
albdroid-developers
albdroid-albania
kodi-al
trc4
-
Updated
May 12, 2020 - PHP
Computing isothermal fluid flow in L-shaped cavities using lattice boltzmann method (LBM)
-
Updated
Jul 16, 2017 - MATLAB
Improve this page
Add a description, image, and links to the trt topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the trt topic, visit your repo's landing page and select "manage topics."
I used following commad to export the ONNX models, and I use the 5.0 tag of ultralytics/yolov5 to train the model.pt. It raises an AttributeError: conv object has no attribute weight. How can I do for this error?
_Originally posted by @Deronjey in zhiqwang/yolov5-rt-stack#159 (comment)