shunkakinoki / slsf-eminem

PyTorch Serverless

FastAI PyTorch Serverless API (w/ AWS Lambda)

Setup

• Install Serverless Framework via npm

npm i -g serverless@1.38.0

• Install python requirements plugin

sls plugin install -n serverless-python-requirements

Configuration

• Setup your model in lib/models.py so that it can be imported by the handler in api/predict.py as a method

• Setup an AWS CLI profile if you don't have one already

• Create an S3 Bucket that your profile can access and upload your state dictionary

• Configure the serverless.yml

### Change service name to whatever you please
service:  eminem-fastai-serverless

provider:
    ...
    ### set this to your deployment stage
    stage: dev

    ### set this to your aws region
    region: us-west-2

    ### set this to your aws profile
    profile: slsadmin

    ### set this as needed between 128 - 3008, in 64mb intervals
    memorySize: 2048

    ### set this as needed (max 300)
    timeout: 120
    ...

    environment:
        ### set this to your S3 bucket name
        BUCKET_NAME: pytorch-serverless
        ### set this to your state dict filename
        STATE_DICT_NAME: dogscats-resnext50.h5

    variables:
        ### set this to your api version
        api_version: v0.0.1

Invoke Local

Run function locally with params defined in tests/predict_event.json

AWS_PROFILE=yourProfile sls invoke local -f predict -p tests/predict_event.json

Deployment

Make sure Docker is running

Deploy to AWS Lambda

sls deploy -v

Endpoints

GET /predict

Return prediction for a single image.

• Headers

(required)
X-API-KEY=[string]   ### Your generated API Key

• URL Parameters

(required)
predict_text=[string]   ### URL of image to classify

• Success Response (200)

{
    "predictions": [
        {

            "label": "dog",
            "log": -0.00004426980376592837,
            "prob": 0.9999557137489319
        },
        {

            "label": "cat",
            "log": -10.025229454040527,
            "prob": 0.0000442688433395233
        }
    ]
}

• Error Response (500)

{
    "error": "Something went wrong...",
    "traceback": "..."
}

Logs

Tail logs to console

sls logs -f predict -t