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Update version to 0.8.0
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README.md

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<img src='https://cortex-public.s3-us-west-2.amazonaws.com/logo.png' height='88'>
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<!-- CORTEX_VERSION_MINOR x2 (e.g. docs.cortex.dev/v/0.8/...) -->
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[install](https://docs.cortex.dev/install)[docs](https://docs.cortex.dev)[examples](examples)[we're hiring](https://angel.co/cortex-labs-inc/jobs)[email us](mailto:[email protected])[chat with us](https://gitter.im/cortexlabs/cortex)
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[install](https://docs.cortex.dev/v/0.8/install)[docs](https://docs.cortex.dev/v/0.8)[examples](examples)[we're hiring](https://angel.co/cortex-labs-inc/jobs)[email us](mailto:[email protected])[chat with us](https://gitter.im/cortexlabs/cortex)
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<br>
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```bash
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# Download the install script
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$ curl -O https://raw.githubusercontent.com/cortexlabs/cortex/0.7/cortex.sh && chmod +x cortex.sh
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$ curl -O https://raw.githubusercontent.com/cortexlabs/cortex/0.8/cortex.sh && chmod +x cortex.sh
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# Install the Cortex CLI on your machine: the CLI sends configuration and code to the Cortex cluster
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$ ./cortex.sh install cli
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```
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<!-- CORTEX_VERSION_MINOR (e.g. docs.cortex.dev/v/0.8/...) -->
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See [installation instructions](https://docs.cortex.dev/cluster/install) for more details.
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See [installation instructions](https://docs.cortex.dev/v/0.8/cluster/install) for more details.
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<br>
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## Examples
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<!-- CORTEX_VERSION_MINOR_STABLE x3 -->
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- [Text generation](https://github.com/cortexlabs/cortex/tree/0.7/examples/text-generator) with GPT-2
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- [Text generation](https://github.com/cortexlabs/cortex/tree/0.8/examples/text-generator) with GPT-2
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- [Sentiment analysis](https://github.com/cortexlabs/cortex/tree/0.7/examples/sentiment-analysis) with BERT
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- [Sentiment analysis](https://github.com/cortexlabs/cortex/tree/0.8/examples/sentiment-analysis) with BERT
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- [Image classification](https://github.com/cortexlabs/cortex/tree/0.7/examples/image-classifier) with Inception v3
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- [Image classification](https://github.com/cortexlabs/cortex/tree/0.8/examples/image-classifier) with Inception v3

build/build-image.sh

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ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")"/.. >/dev/null && pwd)"
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CORTEX_VERSION=master
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CORTEX_VERSION=0.8.0
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dir=$1
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image=$2

build/cli.sh

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ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")"/.. >/dev/null && pwd)"
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CORTEX_VERSION=master
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CORTEX_VERSION=0.8.0
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arg1=${1:-""}
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upload="false"

build/push-image.sh

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set -euo pipefail
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CORTEX_VERSION=master
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CORTEX_VERSION=0.8.0
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image=$1
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cortex.sh

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### CONFIGURATION ###
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#####################
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export CORTEX_VERSION_STABLE=master
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export CORTEX_VERSION_STABLE=0.8.0
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export CORTEX_CONFIG="${CORTEX_CONFIG:-""}"
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if [ "$CORTEX_CONFIG" != "" ]; then

docs/cluster/config.md

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export CORTEX_NAMESPACE="cortex"
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# Image paths
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export CORTEX_IMAGE_MANAGER="cortexlabs/manager:master"
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export CORTEX_IMAGE_FLUENTD="cortexlabs/fluentd:master"
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export CORTEX_IMAGE_STATSD="cortexlabs/statsd:master"
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export CORTEX_IMAGE_OPERATOR="cortexlabs/operator:master"
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export CORTEX_IMAGE_TF_SERVE="cortexlabs/tf-serve:master"
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export CORTEX_IMAGE_TF_API="cortexlabs/tf-api:master"
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export CORTEX_IMAGE_TF_SERVE_GPU="cortexlabs/tf-serve-gpu:master"
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export CORTEX_IMAGE_ONNX_SERVE="cortexlabs/onnx-serve:master"
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export CORTEX_IMAGE_ONNX_SERVE_GPU="cortexlabs/onnx-serve-gpu:master"
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export CORTEX_IMAGE_CLUSTER_AUTOSCALER="cortexlabs/cluster-autoscaler:master"
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export CORTEX_IMAGE_NVIDIA="cortexlabs/nvidia:master"
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export CORTEX_IMAGE_METRICS_SERVER="cortexlabs/metrics-server:master"
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export CORTEX_IMAGE_ISTIO_PROXY="cortexlabs/istio-proxy:master"
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export CORTEX_IMAGE_ISTIO_PILOT="cortexlabs/istio-pilot:master"
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export CORTEX_IMAGE_ISTIO_CITADEL="cortexlabs/istio-citadel:master"
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export CORTEX_IMAGE_ISTIO_GALLEY="cortexlabs/istio-galley:master"
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export CORTEX_IMAGE_DOWNLOADER="cortexlabs/downloader:master"
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export CORTEX_IMAGE_MANAGER="cortexlabs/manager:0.8.0"
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export CORTEX_IMAGE_FLUENTD="cortexlabs/fluentd:0.8.0"
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export CORTEX_IMAGE_STATSD="cortexlabs/statsd:0.8.0"
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export CORTEX_IMAGE_OPERATOR="cortexlabs/operator:0.8.0"
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export CORTEX_IMAGE_TF_SERVE="cortexlabs/tf-serve:0.8.0"
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export CORTEX_IMAGE_TF_API="cortexlabs/tf-api:0.8.0"
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export CORTEX_IMAGE_TF_SERVE_GPU="cortexlabs/tf-serve-gpu:0.8.0"
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export CORTEX_IMAGE_ONNX_SERVE="cortexlabs/onnx-serve:0.8.0"
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export CORTEX_IMAGE_ONNX_SERVE_GPU="cortexlabs/onnx-serve-gpu:0.8.0"
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export CORTEX_IMAGE_CLUSTER_AUTOSCALER="cortexlabs/cluster-autoscaler:0.8.0"
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export CORTEX_IMAGE_NVIDIA="cortexlabs/nvidia:0.8.0"
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export CORTEX_IMAGE_METRICS_SERVER="cortexlabs/metrics-server:0.8.0"
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export CORTEX_IMAGE_ISTIO_PROXY="cortexlabs/istio-proxy:0.8.0"
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export CORTEX_IMAGE_ISTIO_PILOT="cortexlabs/istio-pilot:0.8.0"
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export CORTEX_IMAGE_ISTIO_CITADEL="cortexlabs/istio-citadel:0.8.0"
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export CORTEX_IMAGE_ISTIO_GALLEY="cortexlabs/istio-galley:0.8.0"
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export CORTEX_IMAGE_DOWNLOADER="cortexlabs/downloader:0.8.0"
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# Flag to enable collecting error reports and usage stats. If flag is not set to either "true" or "false", you will be prompted.
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export CORTEX_ENABLE_TELEMETRY=""

docs/cluster/install.md

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```bash
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# Download
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curl -O https://raw.githubusercontent.com/cortexlabs/cortex/master/cortex.sh
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curl -O https://raw.githubusercontent.com/cortexlabs/cortex/0.8/cortex.sh
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# Change permissions
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chmod +x cortex.sh
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```bash
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# Clone the Cortex repository
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git clone -b master https://github.com/cortexlabs/cortex.git
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git clone -b 0.8 https://github.com/cortexlabs/cortex.git
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# Navigate to the iris classification example
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cd cortex/examples/iris-classifier

docs/cluster/uninstall.md

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```bash
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# Download
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curl -O https://raw.githubusercontent.com/cortexlabs/cortex/0.8/cortex.sh
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chmod +x cortex.sh

docs/cluster/update.md

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```bash
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curl -O https://raw.githubusercontent.com/cortexlabs/cortex/0.8/cortex.sh
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# Change permissions
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chmod +x cortex.sh

docs/deployments/packaging-models.md

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## TensorFlow
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<!-- CORTEX_VERSION_MINOR -->
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Export your trained model and upload the export directory, or checkpoint directory containing the export directory, which is usually the case if you used `estimator.train_and_evaluate`. An example is shown below (here is the [complete example](https://github.com/cortexlabs/cortex/blob/master/examples/sentiment-analysis)):
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Export your trained model and upload the export directory, or checkpoint directory containing the export directory, which is usually the case if you used `estimator.train_and_evaluate`. An example is shown below (here is the [complete example](https://github.com/cortexlabs/cortex/blob/0.8/examples/sentiment-analysis)):
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<!-- CORTEX_VERSION_MINOR x4 -->
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Here are complete examples of converting models from some of the common ML frameworks to ONNX:
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* [PyTorch](https://github.com/cortexlabs/cortex/blob/master/examples/iris-classifier/models/pytorch_model.py)
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* [Sklearn](https://github.com/cortexlabs/cortex/blob/master/examples/iris-classifier/models/sklearn_model.py)
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* [XGBoost](https://github.com/cortexlabs/cortex/blob/master/examples/iris-classifier/models/xgboost_model.py)
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* [Keras](https://github.com/cortexlabs/cortex/blob/master/examples/iris-classifier/models/keras_model.py)
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* [PyTorch](https://github.com/cortexlabs/cortex/blob/0.8/examples/iris-classifier/models/pytorch_model.py)
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* [Sklearn](https://github.com/cortexlabs/cortex/blob/0.8/examples/iris-classifier/models/sklearn_model.py)
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* [XGBoost](https://github.com/cortexlabs/cortex/blob/0.8/examples/iris-classifier/models/xgboost_model.py)
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* [Keras](https://github.com/cortexlabs/cortex/blob/0.8/examples/iris-classifier/models/keras_model.py)
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Upload your trained model in ONNX format to Amazon S3 using the AWS web console or CLI:
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