#How to connect multiple Android devices with ADB over TCP
According to a post on xda-developers, you can enable ADB over Wi-Fi from the device with the commands:
su
setprop service.adb.tcp.port 5555
stop adbd
start adbd
FROM tensorflow/tensorflow:2.14.0-gpu | |
ARG BUILD_DATE | |
ENV PORT 8888 | |
LABEL org.opencontainers.image.authors="rinconyanezd@gmail.com" \ | |
org.opencontainers.image.vendor="Diego, Rincon-Yanez" \ | |
org.opencontainers.image.title="Tensorflow GPU Jupyter" \ | |
org.opencontainers.image.created=$BUILD_DATE \ | |
org.opencontainers.image.version="2.9.3" \ |
# Create a ros-humble desktop environment | |
micromamba create -n ros2_env_galactic -c conda-forge -c robostack-staging ros-galactic-desktop && micromamba activate ros_env && micromamba install -c conda-forge compilers cmake pkg-config make ninja colcon-common-extensions | |
micromamba create --name alpaca_micromamba -y && micromamba activate alpaca_micromamba && micromamba install -c alpaca-trade-api && micromamba install -c apple tensorflow-deps && pip install tensorflow-macos && pip install tensorflow-metal && conda install jupyter pandas numpy matplotlib scikit-learn |
conda create --name tf_mac_m5 python=3.8 -y && conda activate tf_mac_m5
conda install -c apple tensorflow-deps -y && pip install tensorflow-macos && pip install tensorflow-metal && conda install notebook -y && pip install numpy --upgrade && pip install pandas --upgrade && pip install matplotlib --upgrade && pip install scikit-learn --upgrade && pip install scipy --upgrade && pip install plotly --upgrade && pip install jupyterlab
#!/bin/bash | |
PARAMS=('-m 6 -q 70 -mt -af -progress') | |
if [ $# -ne 0 ]; then | |
PARAMS=$@; | |
fi | |
cd $(pwd) |