cat-state

to use

HF_API_TOKEN=<token> sbatch hf-infer.sbatch

then run

HF_API_TOKEN=<token> HOSTNAME=<hostname of infernce server> python gradio-tgl.py

setup env following hf inference server instructions but chance /usr/local to path to conda env instead.

cat-state

#!/bin/bash

#SBATCH --job-name=nemo-trlx
#SBATCH --partition=a100-cu117
#SBATCH --nodes=4
#SBATCH --gres=gpu:8
#SBATCH --ntasks-per-node=8
#SBATCH --output="%x.out"
#SBATCH --signal=B:INT@60 

cat-state

cat-state

optical-nn

This repository for organising information as pertaining to the DIY construction of a non-linear optical neural network.

Module

          +------------SINGLE LAYER+--------------------------+
          |                                                   |
          |     +-----+ +--------------+ +-----+ +-------+    |
 +-----> | W1 | | NON | | W2 | | μLENS | |