Inicio Explorar Axuda
Iniciar sesión
dyadmisha
/
AI-on-the-edge-device
réplica de https://github.com/jomjol/AI-on-the-edge-device
1
0
Fork 0
Ficheiros Incidencias 0 Wiki
Árbore: eab8a6d96b
Ramas Etiquetas
AI-on-the-edge-...
/
code
/
components
/
tflite-lib
/
tensorflow
/
lite
/
micro
/
kernels
/
esp_nn
jomjol 00028010ee Rolling 20220526 %!s(int64=4) %!d(string=hai) anos
..
README.md 00028010ee Rolling 20220526 %!s(int64=4) %!d(string=hai) anos
add.cc 00028010ee Rolling 20220526 %!s(int64=4) %!d(string=hai) anos
conv.cc 00028010ee Rolling 20220526 %!s(int64=4) %!d(string=hai) anos
depthwise_conv.cc 00028010ee Rolling 20220526 %!s(int64=4) %!d(string=hai) anos
fully_connected.cc 00028010ee Rolling 20220526 %!s(int64=4) %!d(string=hai) anos
mul.cc 00028010ee Rolling 20220526 %!s(int64=4) %!d(string=hai) anos
pooling.cc 00028010ee Rolling 20220526 %!s(int64=4) %!d(string=hai) anos

README.md

Info

These are the Espressif chipset specific replacement kernels. The kernels call optimized routines or reference routines depending upon optimization option selected.

By default optimizations are selected if available. To change this behaviour, please make the appropriate ESP-NN menu selection after running:

idf.py menuconfig