Update stable version to 0.23.0

Author: deliahu

README.md

@@ -6,7 +6,7 @@
 <!-- Delete on release branches -->
 <!-- CORTEX_VERSION_README_MINOR -->
 
-[install](https://docs.cortex.dev/install) • [documentation](https://docs.cortex.dev) • [examples](https://github.com/cortexlabs/cortex/tree/0.22/examples) • [support](https://gitter.im/cortexlabs/cortex)
+[install](https://docs.cortex.dev/install) • [documentation](https://docs.cortex.dev) • [examples](https://github.com/cortexlabs/cortex/tree/0.23/examples) • [support](https://gitter.im/cortexlabs/cortex)
 
 # Deploy machine learning models to production
 

docs/guides/self-hosted-images.md

@@ -24,14 +24,15 @@ Also, take note of your AWS account ID. The account ID can be found in the _My A
 
 You can use the script below to push the Cortex images to your ECR registry. Make sure to update the `ecr_region`, `aws_account_id`, and `cortex_version` variables at the top of the file. Copy-paste the contents into a new file (e.g. `ecr.sh`), and then run `chmod +x ecr.sh`, followed by `./ecr.sh`. It is recommended to run this from an EC2 instance in the same region as your ECR repository, since it will be much faster.
 
+<!-- CORTEX_VERSION_README -->
 ```bash
 #!/bin/bash
 set -euo pipefail
 
 # user set variables
 ecr_region="us-west-2"
 aws_account_id="620970939130"  # example account ID
-cortex_version="0.22.1"
+cortex_version="0.23.0"
 
 source_registry="quay.io/cortexlabs"
 destination_ecr_prefix="cortexlabs"

examples/batch/image-classifier/README.md

@@ -1,6 +1,6 @@
 # Deploy models as Batch APIs
 
-_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)_
+_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)_
 
 This example shows how to deploy a batch image classification api that accepts a list of image urls as input, downloads the images, classifies them, and writes the results to S3.
 

examples/batch/image-classifier/cortex.yaml

@@ -1,4 +1,4 @@
-# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)
+# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)
 
 - name: image-classifier
   kind: BatchAPI

examples/batch/image-classifier/predictor.py

@@ -1,4 +1,4 @@
-# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)
+# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)
 
 import os
 import requests

examples/batch/onnx/README.md

@@ -1,6 +1,6 @@
 # Batch Image Classifier in ONNX
 
-_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)_
+_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)_
 
 <!-- CORTEX_VERSION_MINOR -->
 Please refer to the [tutorial](https://docs.cortex.dev/v/master/batch-api/image-classifier#deploy-your-batch-api) to see how to deploy a Batch API with Cortex.

examples/batch/onnx/cortex.yaml

@@ -1,4 +1,4 @@
-# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)
+# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)
 
 - name: image-classifier
   kind: BatchAPI

examples/batch/onnx/predictor.py

@@ -1,4 +1,4 @@
-# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)
+# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)
 
 import requests
 import numpy as np

examples/batch/tensorflow/README.md

@@ -1,6 +1,6 @@
 # Batch Image Classifier in TensorFlow
 
-_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)_
+_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)_
 
 <!-- CORTEX_VERSION_MINOR -->
 Please refer to the [tutorial](https://docs.cortex.dev/v/master/batch-api/image-classifier#deploy-your-batch-api) to see how to deploy a Batch API with Cortex.

examples/batch/tensorflow/cortex.yaml

@@ -1,4 +1,4 @@
-# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)
+# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)
 
 - name: image-classifier
   kind: BatchAPI

examples/batch/tensorflow/predictor.py

@@ -1,4 +1,4 @@
-# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)
+# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)
 
 import requests
 import numpy as np

examples/keras/document-denoiser/README.md

@@ -1,6 +1,6 @@
 # Clean Dirty Documents w/ Autoencoders
 
-_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)_
+_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)_
 
 This example model cleans text documents of anything that isn't text (aka noise): coffee stains, old wear artifacts, etc. You can inspect the notebook that has been used to train the model [here](trainer.ipynb).
 

examples/keras/document-denoiser/cortex.yaml

@@ -1,4 +1,4 @@
-# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)
+# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)
 
 - name: document-denoiser
   kind: RealtimeAPI

examples/keras/document-denoiser/predictor.py

@@ -1,4 +1,4 @@
-# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)
+# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)
 
 import boto3, base64, cv2, re, os, requests
 from botocore import UNSIGNED

examples/keras/document-denoiser/trainer.ipynb

@@ -13,7 +13,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# _WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)_\n",
+    "# _WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)_\n",
     "\n",
     "\n",
     "import keras\n",

examples/live-reloading/onnx/README.md

@@ -1,6 +1,6 @@
 ## Live-reloading model APIs
 
-_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)_
+_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)_
 
 The model live-reloading feature is automatically enabled for the ONNX predictors. This means that any ONNX examples found in the [examples](../..) directory will already have this running.
 

examples/live-reloading/python/mpg-estimator/cortex.yaml

@@ -1,4 +1,4 @@
-# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)
+# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)
 
 - name: mpg-estimator
   kind: RealtimeAPI

examples/live-reloading/python/mpg-estimator/predictor.py

@@ -1,4 +1,4 @@
-# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)
+# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)
 
 import mlflow.sklearn
 import numpy as np

examples/live-reloading/tensorflow/README.md

@@ -1,6 +1,6 @@
 ## Live-reloading model APIs
 
-_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)_
+_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)_
 
 The model live-reloading feature is automatically enabled <sup>1</sup> for the TensorFlow predictors. This means that any TensorFLow examples found in the [examples](../..) directory will already have this running.
 

examples/model-caching/onnx/multi-model-classifier/README.md

@@ -1,6 +1,6 @@
 # Multi-Model Classifier API
 
-_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)_
+_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)_
 
 This example deploys ResNet50, MobileNet and ShuffleNet models in one API. Query parameters are used for selecting the model and the version.
 

examples/model-caching/onnx/multi-model-classifier/cortex.yaml

@@ -1,4 +1,4 @@
-# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)
+# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)
 
 - name: multi-model-classifier
   kind: RealtimeAPI

examples/model-caching/onnx/multi-model-classifier/predictor.py

@@ -1,4 +1,4 @@
-# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)
+# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)
 
 import numpy as np
 import cv2, requests

examples/model-caching/python/mpg-estimator/README.md

@@ -1,6 +1,6 @@
 # MPG Estimator API
 
-_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)_
+_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)_
 
 This example deploys an MPG estimator model of multiple versions in one API. Query parameters are used for selecting the model and the version.
 

examples/model-caching/python/mpg-estimator/cortex.yaml

@@ -1,4 +1,4 @@
-# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)
+# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)
 
 - name: mpg-estimator
   kind: RealtimeAPI

examples/model-caching/python/mpg-estimator/predictor.py

@@ -1,4 +1,4 @@
-# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)
+# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)
 
 import mlflow.sklearn
 import numpy as np

examples/model-caching/tensorflow/multi-model-classifier/README.md

@@ -1,6 +1,6 @@
 # Multi-Model Classifier API
 
-_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)_
+_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)_
 
 This example deploys Iris, ResNet50 and Inception models in one API. Query parameters are used for selecting the model.
 

examples/model-caching/tensorflow/multi-model-classifier/cortex.yaml

@@ -1,4 +1,4 @@
-# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)
+# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)
 
 - name: multi-model-classifier
   kind: RealtimeAPI

examples/model-caching/tensorflow/multi-model-classifier/predictor.py

@@ -1,4 +1,4 @@
-# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)
+# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)
 
 import requests
 import numpy as np

examples/onnx/iris-classifier/README.md

@@ -1,3 +1,3 @@
-_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)_
+_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)_
 
 Please refer to the [tutorial](https://docs.cortex.dev/text-generator) to see how to deploy an example with Cortex.

examples/onnx/iris-classifier/cortex.yaml

@@ -1,4 +1,4 @@
-# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)
+# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)
 
 - name: iris-classifier
   kind: RealtimeAPI

examples/onnx/iris-classifier/predictor.py

@@ -1,4 +1,4 @@
-# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)
+# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)
 
 labels = ["setosa", "versicolor", "virginica"]
 

examples/onnx/iris-classifier/xgboost.ipynb

@@ -31,7 +31,7 @@
       "source": [
         "# Training an Iris classifier using XGBoost\n",
         "\n",
-        "_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)_\n",
+        "_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)_\n",
         "\n",
         "In this notebook, we'll show how to train a classifier trained on the [iris data set](https://archive.ics.uci.edu/ml/datasets/iris) using XGBoost."
       ]

examples/onnx/multi-model-classifier/README.md

@@ -1,6 +1,6 @@
 # Multi-Model Classifier API
 
-_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)_
+_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)_
 
 This example deploys ResNet50, MobileNet and ShuffleNet models in one API. Query parameters are used for selecting the model.
 

examples/onnx/multi-model-classifier/cortex.yaml

@@ -1,4 +1,4 @@
-# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)
+# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)
 
 - name: multi-model-classifier
   kind: RealtimeAPI

examples/onnx/multi-model-classifier/predictor.py

@@ -1,4 +1,4 @@
-# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)
+# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)
 
 import numpy as np
 import cv2, requests

examples/onnx/yolov5-youtube/README.md

@@ -1,6 +1,6 @@
 # YOLOv5 Detection model
 
-_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.22.*, run `git checkout -b 0.22` or switch to the `0.22` branch on GitHub)_
+_WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.23.*, run `git checkout -b 0.23` or switch to the `0.23` branch on GitHub)_
 
 This example deploys a detection model trained using [ultralytics' yolo repo](https://github.com/ultralytics/yolov5) using ONNX.
 We'll use the `yolov5s` model as an example here.