notes
Contents:
C++
Sphinx
git
docker
LaTeX
Kaldi
bash
CUDA
torch
torch.load and torch.save
torch.gather
DDP
TorchScript
Logical operations
Note
Quantization
android
onnx
Install
Simple OPs
Hello
Multiple models
References
Quantization
Quantization
TODOs
nn.LSTM
torchvision
audograd
seed
float16
Dynamo
random
compile
benchmark
cv2
einsum
Python
java
javascript
HTML
css
pybind11
Protocol Buffers
gRPC
lwn.net
Linker and Loader
espnet
cmake
huggingface
EECS E6870 Speech Recognition
ncnn
LLVM
Android
qemu
sox
MNN
SIMD
asio
websocketpp
Operating systems
encoding
ios
Embedded systems
ssh
onnx
csharp
Flask
ARM
VirtualBox
Go
Whisper
Windows
qt
webassembly
spleeter
django
React
tts
rust
ELF
ROS2
OpenFst
Colab
Dart
Flutter
Keyword spotting (KWS)
Papers
Pascal
ggml
Amphion
HarmonyOS
icefall
RKNN
lhotse
ffmpeg
vlc
notes
torch
onnx
Edit on GitHub
onnx
Install
API references
Simple OPs
linear
Hello
Multiple models
References
Quantization
TO READ
2020-Integer quantization for deep learning inference: Principles and empirical evaluation
2022-A survey of quantization methods for efficient neural network inference
1998-Quantization
Quantization
TODOs