Update version to 0.12.0

Author: vishalbollu

README.md

@@ -4,10 +4,6 @@ Cortex is an open source platform for deploying machine learning models as produ
 
 <br>
 
-<!-- Delete on release branches -->
-<!-- CORTEX_VERSION_README_MINOR -->
-[install](https://www.cortex.dev/install) • [tutorial](https://www.cortex.dev/iris-classifier) • [docs](https://www.cortex.dev) • [examples](https://github.com/cortexlabs/cortex/tree/0.11/examples) • [we're hiring](https://angel.co/cortex-labs-inc/jobs) • [email us](mailto:hello@cortex.dev) • [chat with us](https://gitter.im/cortexlabs/cortex)<br><br>
-
 <!-- Set header Cache-Control=no-cache on the S3 object metadata (see https://help.github.com/en/articles/about-anonymized-image-urls) -->
 ![Demo](https://d1zqebknpdh033.cloudfront.net/demo/gif/v0.11.gif)
 
@@ -33,7 +29,7 @@ Cortex is designed to be self-hosted on any AWS account. You can spin up a clust
 <!-- CORTEX_VERSION_README_MINOR -->
 ```bash
 # install the CLI on your machine
-$ bash -c "$(curl -sS https://raw.githubusercontent.com/cortexlabs/cortex/0.11/get-cli.sh)"
+$ bash -c "$(curl -sS https://raw.githubusercontent.com/cortexlabs/cortex/0.12/get-cli.sh)"
 
 # provision infrastructure on AWS and spin up a cluster
 $ cortex cluster up
@@ -57,10 +53,12 @@ your cluster is ready!
 ```python
 # predictor.py
 
-model = download_model()
+class PythonPredictor:
+    def __init__(self, config):
+        self.model = download_model()
 
-def predict(sample, metadata):
-    return model.predict(sample["text"])
+    def predict(self, payload):
+      return model.predict(payload["text"])
 ```
 
 ### Configure your deployment
@@ -74,6 +72,7 @@ def predict(sample, metadata):
 - kind: api
   name: classifier
   predictor:
+    type: python
     path: predictor.py
   tracker:
     model_type: classification
@@ -130,8 +129,8 @@ The CLI sends configuration and code to the cluster every time you run `cortex d
 ## Examples of Cortex deployments
 
 <!-- CORTEX_VERSION_README_MINOR x5 -->
-* [Sentiment analysis](https://github.com/cortexlabs/cortex/tree/0.11/examples/tensorflow/sentiment-analyzer): deploy a BERT model for sentiment analysis.
-* [Image classification](https://github.com/cortexlabs/cortex/tree/0.11/examples/tensorflow/image-classifier): deploy an Inception model to classify images.
-* [Search completion](https://github.com/cortexlabs/cortex/tree/0.11/examples/pytorch/search-completer): deploy Facebook's RoBERTa model to complete search terms.
-* [Text generation](https://github.com/cortexlabs/cortex/tree/0.11/examples/pytorch/text-generator): deploy Hugging Face's DistilGPT2 model to generate text.
-* [Iris classification](https://github.com/cortexlabs/cortex/tree/0.11/examples/sklearn/iris-classifier): deploy a scikit-learn model to classify iris flowers.
+* [Sentiment analysis](https://github.com/cortexlabs/cortex/tree/0.12/examples/tensorflow/sentiment-analyzer): deploy a BERT model for sentiment analysis.
+* [Image classification](https://github.com/cortexlabs/cortex/tree/0.12/examples/tensorflow/image-classifier): deploy an Inception model to classify images.
+* [Search completion](https://github.com/cortexlabs/cortex/tree/0.12/examples/pytorch/search-completer): deploy Facebook's RoBERTa model to complete search terms.
+* [Text generation](https://github.com/cortexlabs/cortex/tree/0.12/examples/pytorch/text-generator): deploy Hugging Face's DistilGPT2 model to generate text.
+* [Iris classification](https://github.com/cortexlabs/cortex/tree/0.12/examples/sklearn/iris-classifier): deploy a scikit-learn model to classify iris flowers.

build/build-image.sh

@@ -19,7 +19,7 @@ set -euo pipefail
 
 ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")"/.. >/dev/null && pwd)"
 
-CORTEX_VERSION=master
+CORTEX_VERSION=0.12.0
 
 dir=$1
 image=$2

build/cli.sh

@@ -19,7 +19,7 @@ set -euo pipefail
 
 ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")"/.. >/dev/null && pwd)"
 
-CORTEX_VERSION=master
+CORTEX_VERSION=0.12.0
 
 arg1=${1:-""}
 upload="false"

build/push-image.sh

@@ -17,7 +17,7 @@
 
 set -euo pipefail
 
-CORTEX_VERSION=master
+CORTEX_VERSION=0.12.0
 
 image=$1
 

docs/cluster-management/aws-credentials.md

@@ -1,7 +1,5 @@
 # AWS credentials
 
-_WARNING: you are on the master branch, please refer to the docs on the branch that matches your `cortex version`_
-
 As of now, Cortex only runs on AWS. We plan to support other cloud providers in the future. If you don't have an AWS account you can get started with one [here](https://portal.aws.amazon.com/billing/signup#/start).
 
 Follow this [tutorial](https://aws.amazon.com/premiumsupport/knowledge-center/create-access-key) to create an access key. Enable programmatic access for the IAM user, and attach the built-in `AdministratorAccess` policy to your IAM user (or see [security](security.md) for a minimal access configuration).

docs/cluster-management/cli.md

@@ -1,7 +1,5 @@
 # CLI commands
 
-_WARNING: you are on the master branch, please refer to the docs on the branch that matches your `cortex version`_
-
 ## deploy
 
 ```text

docs/cluster-management/config.md

@@ -1,7 +1,5 @@
 # Cluster configuration
 
-_WARNING: you are on the master branch, please refer to the docs on the branch that matches your `cortex version`_
-
 The Cortex cluster may be configured by providing a configuration file to `cortex cluster up` or `cortex cluster update` via the `--config` flag (e.g. `cortex cluster up --config=cluster.yaml`). Below is the schema for the cluster configuration file, with default values shown (unless otherwise specified):
 
 <!-- CORTEX_VERSION_BRANCH_STABLE -->
@@ -45,27 +43,27 @@ instance_volume_size: 50
 log_group: cortex
 
 # whether to use spot instances in the cluster (default: false)
-# see cortex.dev/v/master/cluster-management/spot-instances for additional details on spot configuration
+# see cortex.dev/v/0.12/cluster-management/spot-instances for additional details on spot configuration
 spot: false
 
 # docker image paths
-image_python_serve: cortexlabs/python-serve:master
-image_python_serve_gpu: cortexlabs/python-serve-gpu:master
-image_tf_serve: cortexlabs/tf-serve:master
-image_tf_serve_gpu: cortexlabs/tf-serve-gpu:master
-image_tf_api: cortexlabs/tf-api:master
-image_onnx_serve: cortexlabs/onnx-serve:master
-image_onnx_serve_gpu: cortexlabs/onnx-serve-gpu:master
-image_operator: cortexlabs/operator:master
-image_manager: cortexlabs/manager:master
-image_downloader: cortexlabs/downloader:master
-image_cluster_autoscaler: cortexlabs/cluster-autoscaler:master
-image_metrics_server: cortexlabs/metrics-server:master
-image_nvidia: cortexlabs/nvidia:master
-image_fluentd: cortexlabs/fluentd:master
-image_statsd: cortexlabs/statsd:master
-image_istio_proxy: cortexlabs/istio-proxy:master
-image_istio_pilot: cortexlabs/istio-pilot:master
-image_istio_citadel: cortexlabs/istio-citadel:master
-image_istio_galley: cortexlabs/istio-galley:master
+image_python_serve: cortexlabs/python-serve:0.12.0
+image_python_serve_gpu: cortexlabs/python-serve-gpu:0.12.0
+image_tf_serve: cortexlabs/tf-serve:0.12.0
+image_tf_serve_gpu: cortexlabs/tf-serve-gpu:0.12.0
+image_tf_api: cortexlabs/tf-api:0.12.0
+image_onnx_serve: cortexlabs/onnx-serve:0.12.0
+image_onnx_serve_gpu: cortexlabs/onnx-serve-gpu:0.12.0
+image_operator: cortexlabs/operator:0.12.0
+image_manager: cortexlabs/manager:0.12.0
+image_downloader: cortexlabs/downloader:0.12.0
+image_cluster_autoscaler: cortexlabs/cluster-autoscaler:0.12.0
+image_metrics_server: cortexlabs/metrics-server:0.12.0
+image_nvidia: cortexlabs/nvidia:0.12.0
+image_fluentd: cortexlabs/fluentd:0.12.0
+image_statsd: cortexlabs/statsd:0.12.0
+image_istio_proxy: cortexlabs/istio-proxy:0.12.0
+image_istio_pilot: cortexlabs/istio-pilot:0.12.0
+image_istio_citadel: cortexlabs/istio-citadel:0.12.0
+image_istio_galley: cortexlabs/istio-galley:0.12.0
 ```

docs/cluster-management/ec2-instances.md

@@ -1,7 +1,5 @@
 # EC2 instances
 
-_WARNING: you are on the master branch, please refer to the docs on the branch that matches your `cortex version`_
-
 You can spin up a Cortex cluster on a variety of AWS instance types. If you are unsure about which instance to pick, review these options as a starting point. This is not a comprehensive guide so please refer to the [full documentation](https://aws.amazon.com/ec2/instance-types/) on AWS for more information.
 
 ## T3 instances

docs/cluster-management/install.md

@@ -1,7 +1,5 @@
 # Install
 
-_WARNING: you are on the master branch, please refer to the docs on the branch that matches your `cortex version`_
-
 ## Prerequisites
 
 1. [Docker](https://docs.docker.com/install)
@@ -14,7 +12,7 @@ See [cluster configuration](config.md) to learn how you can customize your insta
 <!-- CORTEX_VERSION_MINOR -->
 ```bash
 # install the CLI on your machine
-bash -c "$(curl -sS https://raw.githubusercontent.com/cortexlabs/cortex/master/get-cli.sh)"
+bash -c "$(curl -sS https://raw.githubusercontent.com/cortexlabs/cortex/0.12/get-cli.sh)"
 
 # provision infrastructure on AWS and spin up a cluster
 cortex cluster up
@@ -28,7 +26,7 @@ Note: This will create resources in your AWS account which aren't included in th
 
 ```bash
 # clone the Cortex repository
-git clone -b master https://github.com/cortexlabs/cortex.git
+git clone -b 0.12 https://github.com/cortexlabs/cortex.git
 
 # navigate to the iris classifier example
 cd cortex/examples/sklearn/iris-classifier

docs/cluster-management/security.md

@@ -1,7 +1,5 @@
 # Security
 
-_WARNING: you are on the master branch, please refer to the docs on the branch that matches your `cortex version`_
-
 ## IAM permissions
 
 If you are not using a sensitive AWS account and do not have a lot of experience with IAM configuration, attaching the existing policy `AdministratorAccess` to your IAM user will make getting started much easier.