Tensorflow Lambda Layer using AWS SAM

Tensorflow version 1.4.1

Layer unzipped size: 185.6 MB chi

Pre-requisite

Docker
Install AWS SAM CLI. You must have AWS IAM access to create role, aws lambda and upload to S3.
Edit Makefile and specify value of STACK_NAME and your S3_LAMBDA_BUCKET

Step 1: Build docker image

make image

This command will run docker build with a base image from amazon.

The dockerfile will run ./build.sh that will install and package all the dependencies to be used in amazon lambda.

Step 2: Package dependencies for lambda

make install

This command copies all dependencies in the local build folder

Step 3: Deploy the lambda layer

make deploy

This command will package the build/layer with AWS SAM CLI and upload to S3.

Edit template.yml to configure name and compatible runtimes if necessary

Step 4: Copy the Layer ARN

After a successful deployment, copy the Layer ARN output and paste it in your own lambda app template.yml Layers value

Reference

Dependencies

bleach==1.5.0
html5lib==0.9999999
importlib-metadata==1.7.0; python_version < '3.8'
markdown==3.2.2; python_version >= '3.5'
numpy==1.19.2; python_version >= '3.6'
protobuf==3.13.0
six==1.15.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2'
tensorflow-tensorboard==0.4.0
tensorflow==1.4.1
werkzeug==1.0.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'
wheel==0.35.1; python_version >= '3'
zipp==3.1.0; python_version >= '3.6'

Lambda Layers

https://docs.aws.amazon.com/lambda/latest/dg/configuration-layers.html

fadhlirahim / aws-lambda-tensorflow-layer