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: 993fbfe5a8
Ramas Etiquetas
AI-on-the-edge-...
/
code
/
components
/
tflite-lib
/
tensorflow
/
lite
/
micro
/
kernels
/
esp_nn
jomjol 0e7c600cf7 Rolling v10.6.1 %!s(int64=3) %!d(string=hai) anos
..
README.md 00028010ee Rolling 20220526 %!s(int64=3) %!d(string=hai) anos
add.cc 0e7c600cf7 Rolling v10.6.1 %!s(int64=3) %!d(string=hai) anos
conv.cc 0e7c600cf7 Rolling v10.6.1 %!s(int64=3) %!d(string=hai) anos
depthwise_conv.cc 0e7c600cf7 Rolling v10.6.1 %!s(int64=3) %!d(string=hai) anos
fully_connected.cc 0e7c600cf7 Rolling v10.6.1 %!s(int64=3) %!d(string=hai) anos
mul.cc 0e7c600cf7 Rolling v10.6.1 %!s(int64=3) %!d(string=hai) anos
pooling.cc 0e7c600cf7 Rolling v10.6.1 %!s(int64=3) %!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