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Local Installation

Installation for buzzwords is somewhat complicated, due to the need for cuML on an Nvidia GPU-powered machine. Buzzwords is only designed to work on Linux machines running Nvidia GPUs, and is it not recommended to try installation on other systems.

RAPIDS doesn’t support installation through pip anymore, so we need to use conda environments.

As such, installation has been packaged up into a bash script install.sh which can be found in the main repo.

$ ./install.sh environment-name

This will create the conda environment (with either your given name or buzzwords as default) with Buzzwords installed in it. This installation setup is quite fragile and we haven’t tested it extensively. You can use Docker or cloud services such as Kaggle/GCP/AWS to run your scripts if you run into issues


Kaggle Installation

Installation has been tested on Kaggle notebooks and an example can be found here


Docker Installation

To deploy Buzzwords in some use cases, we use Docker images with the library already installed in a conda environment. If you’re struggling to install buzzwords, this is an alternative option to run your training scripts.

Building a Base Image

To build a base image, run this from the base directory of the repo

docker build \
	-t buzzwords-base:$VERSION \
	-f docker/Dockerfile \
	.

This will build the docker image (takes 30+ minutes to install, just let it run)

:warning: Buzzwords is installed in the `buzzwords` conda environment in these images

Test Deployment

There is also a simple script to run a test of the base image. This will build a simple image that checks if Buzzwords has actually been installed. The syntax is the same as for building the base image

$ chmod +x docker/test/run_test.sh
$ docker/test/run_test.sh $IMAGE

If the base image works properly, you will see something like:

$ docker/test/run_test.sh buzzwords-base:0.2.2
Sending build context to Docker daemon  4.096kB
Step 1/5 : ARG IMAGE=placeholder
Step 2/5 : FROM $IMAGE
 ---> c874ff640477
Step 3/5 : COPY basic_test.sh .
 ---> Using cache
 ---> db3b1a59f6f5
Step 4/5 : RUN chmod +x basic_test.sh
 ---> Using cache
 ---> 34b916e4543b
Step 5/5 : CMD bash basic_test.sh
 ---> Running in be6f290c1a7c
Removing intermediate container be6f290c1a7c
 ---> 40a4f42f7196
Successfully built 40a4f42f7196
Successfully tagged test-buzzwords:latest
Success! Buzzwords was successfully installed to this image

You can then use this docker image to run your scripts. You simply mount your directory to the docker image with -v

sudo docker run \
    -v /home:/home \
    -w `pwd` \
    buzzwords \
    ./basic_test.sh

Just remember to either change the Dockerfile to start conda by default or wrap your python in a bash script that activate conda first

source activate buzzwords

python3 train.py

A100 Issues

For installation on an A100, you may need to run an additional

pip3 install torch==1.7.0+cu111 -f https://download.pytorch.org/whl/torch_stable.html

To fix the pytorch version for SentenceTransformers