Update version to 0.31.0

Author: vishalbollu

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=0.31.0
 
 image=$1
 

build/cli.sh

@@ -19,7 +19,7 @@ set -euo pipefail
 
 ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")"/.. >/dev/null && pwd)"
 
-CORTEX_VERSION=master
+CORTEX_VERSION=0.31.0
 
 arg1=${1:-""}
 upload="false"

build/push-image.sh

@@ -17,7 +17,7 @@
 
 set -euo pipefail
 
-CORTEX_VERSION=master
+CORTEX_VERSION=0.31.0
 
 image=$1
 

dev/registry.sh

@@ -14,7 +14,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-CORTEX_VERSION=master
+CORTEX_VERSION=0.31.0
 
 set -eo pipefail
 

docs/clients/install.md

@@ -9,10 +9,10 @@ pip install cortex
 ```
 
 <!-- CORTEX_VERSION_README x2 -->
-To install or upgrade to a specific version (e.g. v0.30.0):
+To install or upgrade to a specific version (e.g. v0.31.0):
 
 ```bash
-pip install cortex==0.30.0
+pip install cortex==0.31.0
 ```
 
 To upgrade to the latest version:
@@ -25,8 +25,8 @@ pip install --upgrade cortex
 
 <!-- CORTEX_VERSION_README x2 -->
 ```bash
-# For example to download CLI version 0.30.0 (Note the "v"):
-bash -c "$(curl -sS https://raw.githubusercontent.com/cortexlabs/cortex/v0.30.0/get-cli.sh)"
+# For example to download CLI version 0.31.0 (Note the "v"):
+bash -c "$(curl -sS https://raw.githubusercontent.com/cortexlabs/cortex/v0.31.0/get-cli.sh)"
 ```
 
 By default, the Cortex CLI is installed at `/usr/local/bin/cortex`. To install the executable elsewhere, export the `CORTEX_INSTALL_PATH` environment variable to your desired location before running the command above.

docs/clients/python.md

@@ -89,7 +89,7 @@ Deploy an API.
 
 **Arguments**:
 
-- `api_spec` - A dictionary defining a single Cortex API. See https://docs.cortex.dev/v/master/ for schema.
+- `api_spec` - A dictionary defining a single Cortex API. See https://docs.cortex.dev/v/0.31/ for schema.
 - `predictor` - A Cortex Predictor class implementation. Not required for TaskAPI/TrafficSplitter kinds.
 - `task` - A callable class/function implementation. Not required for RealtimeAPI/BatchAPI/TrafficSplitter kinds.
 - `requirements` - A list of PyPI dependencies that will be installed before the predictor class implementation is invoked.

docs/clusters/aws/install.md

@@ -92,26 +92,26 @@ The docker images used by the Cortex cluster can also be overridden, although th
 
 <!-- CORTEX_VERSION_BRANCH_STABLE -->
 ```yaml
-image_operator: quay.io/cortexlabs/operator:master
-image_manager: quay.io/cortexlabs/manager:master
-image_downloader: quay.io/cortexlabs/downloader:master
-image_request_monitor: quay.io/cortexlabs/request-monitor:master
-image_cluster_autoscaler: quay.io/cortexlabs/cluster-autoscaler:master
-image_metrics_server: quay.io/cortexlabs/metrics-server:master
-image_inferentia: quay.io/cortexlabs/inferentia:master
-image_neuron_rtd: quay.io/cortexlabs/neuron-rtd:master
-image_nvidia: quay.io/cortexlabs/nvidia:master
-image_fluent_bit: quay.io/cortexlabs/fluent-bit:master
-image_istio_proxy: quay.io/cortexlabs/istio-proxy:master
-image_istio_pilot: quay.io/cortexlabs/istio-pilot:master
-image_prometheus: quay.io/cortexlabs/prometheus:master
-image_prometheus_config_reloader: quay.io/cortexlabs/prometheus-config-reloader:master
-image_prometheus_operator: quay.io/cortexlabs/prometheus-operator:master
-image_prometheus_statsd_exporter: quay.io/cortexlabs/prometheus-statsd-exporter:master
-image_prometheus_dcgm_exporter: quay.io/cortexlabs/prometheus-dcgm-exporter:master
-image_prometheus_kube_state_metrics: quay.io/cortexlabs/prometheus-kube-state-metrics:master
-image_prometheus_node_exporter: quay.io/cortexlabs/prometheus-node-exporter:master
-image_kube_rbac_proxy: quay.io/cortexlabs/kube-rbac-proxy:master
-image_grafana: quay.io/cortexlabs/grafana:master
-image_event_exporter: quay.io/cortexlabs/event-exporter:master
+image_operator: quay.io/cortexlabs/operator:0.31.0
+image_manager: quay.io/cortexlabs/manager:0.31.0
+image_downloader: quay.io/cortexlabs/downloader:0.31.0
+image_request_monitor: quay.io/cortexlabs/request-monitor:0.31.0
+image_cluster_autoscaler: quay.io/cortexlabs/cluster-autoscaler:0.31.0
+image_metrics_server: quay.io/cortexlabs/metrics-server:0.31.0
+image_inferentia: quay.io/cortexlabs/inferentia:0.31.0
+image_neuron_rtd: quay.io/cortexlabs/neuron-rtd:0.31.0
+image_nvidia: quay.io/cortexlabs/nvidia:0.31.0
+image_fluent_bit: quay.io/cortexlabs/fluent-bit:0.31.0
+image_istio_proxy: quay.io/cortexlabs/istio-proxy:0.31.0
+image_istio_pilot: quay.io/cortexlabs/istio-pilot:0.31.0
+image_prometheus: quay.io/cortexlabs/prometheus:0.31.0
+image_prometheus_config_reloader: quay.io/cortexlabs/prometheus-config-reloader:0.31.0
+image_prometheus_operator: quay.io/cortexlabs/prometheus-operator:0.31.0
+image_prometheus_statsd_exporter: quay.io/cortexlabs/prometheus-statsd-exporter:0.31.0
+image_prometheus_dcgm_exporter: quay.io/cortexlabs/prometheus-dcgm-exporter:0.31.0
+image_prometheus_kube_state_metrics: quay.io/cortexlabs/prometheus-kube-state-metrics:0.31.0
+image_prometheus_node_exporter: quay.io/cortexlabs/prometheus-node-exporter:0.31.0
+image_kube_rbac_proxy: quay.io/cortexlabs/kube-rbac-proxy:0.31.0
+image_grafana: quay.io/cortexlabs/grafana:0.31.0
+image_event_exporter: quay.io/cortexlabs/event-exporter:0.31.0
 ```

docs/clusters/gcp/install.md

@@ -71,21 +71,21 @@ The docker images used by the Cortex cluster can also be overridden, although th
 
 <!-- CORTEX_VERSION_BRANCH_STABLE -->
 ```yaml
-image_operator: quay.io/cortexlabs/operator:master
-image_manager: quay.io/cortexlabs/manager:master
-image_downloader: quay.io/cortexlabs/downloader:master
-image_request_monitor: quay.io/cortexlabs/request-monitor:master
-image_istio_proxy: quay.io/cortexlabs/istio-proxy:master
-image_istio_pilot: quay.io/cortexlabs/istio-pilot:master
-image_google_pause: quay.io/cortexlabs/google-pause:master
-image_prometheus: quay.io/cortexlabs/prometheus:master
-image_prometheus_config_reloader: quay.io/cortexlabs/prometheus-config-reloader:master
-image_prometheus_operator: quay.io/cortexlabs/prometheus-operator:master
-image_prometheus_statsd_exporter: quay.io/cortexlabs/prometheus-statsd-exporter:master
-image_prometheus_dcgm_exporter: quay.io/cortexlabs/prometheus-dcgm-exporter:master
-image_prometheus_kube_state_metrics: quay.io/cortexlabs/prometheus-kube-state-metrics:master
-image_prometheus_node_exporter: quay.io/cortexlabs/prometheus-node-exporter:master
-image_kube_rbac_proxy: quay.io/cortexlabs/kube-rbac-proxy:master
-image_grafana: quay.io/cortexlabs/grafana:master
-image_event_exporter: quay.io/cortexlabs/event-exporter:master
+image_operator: quay.io/cortexlabs/operator:0.31.0
+image_manager: quay.io/cortexlabs/manager:0.31.0
+image_downloader: quay.io/cortexlabs/downloader:0.31.0
+image_request_monitor: quay.io/cortexlabs/request-monitor:0.31.0
+image_istio_proxy: quay.io/cortexlabs/istio-proxy:0.31.0
+image_istio_pilot: quay.io/cortexlabs/istio-pilot:0.31.0
+image_google_pause: quay.io/cortexlabs/google-pause:0.31.0
+image_prometheus: quay.io/cortexlabs/prometheus:0.31.0
+image_prometheus_config_reloader: quay.io/cortexlabs/prometheus-config-reloader:0.31.0
+image_prometheus_operator: quay.io/cortexlabs/prometheus-operator:0.31.0
+image_prometheus_statsd_exporter: quay.io/cortexlabs/prometheus-statsd-exporter:0.31.0
+image_prometheus_dcgm_exporter: quay.io/cortexlabs/prometheus-dcgm-exporter:0.31.0
+image_prometheus_kube_state_metrics: quay.io/cortexlabs/prometheus-kube-state-metrics:0.31.0
+image_prometheus_node_exporter: quay.io/cortexlabs/prometheus-node-exporter:0.31.0
+image_kube_rbac_proxy: quay.io/cortexlabs/kube-rbac-proxy:0.31.0
+image_grafana: quay.io/cortexlabs/grafana:0.31.0
+image_event_exporter: quay.io/cortexlabs/event-exporter:0.31.0
 ```

docs/workloads/batch/configuration.md

@@ -19,7 +19,7 @@ predictor:
   path: <string>  # path to a python file with a PythonPredictor class definition, relative to the Cortex root (required)
   config: <string: value>  # arbitrary dictionary passed to the constructor of the Predictor (can be overridden by config passed in job submission) (optional)
   python_path: <string>  # path to the root of your Python folder that will be appended to PYTHONPATH (default: folder containing cortex.yaml)
-  image: <string> # docker image to use for the Predictor (default: quay.io/cortexlabs/python-predictor-cpu:master or quay.io/cortexlabs/python-predictor-gpu:master-cuda10.2-cudnn8 based on compute)
+  image: <string> # docker image to use for the Predictor (default: quay.io/cortexlabs/python-predictor-cpu:0.31.0 or quay.io/cortexlabs/python-predictor-gpu:0.31.0-cuda10.2-cudnn8 based on compute)
   env: <string: string>  # dictionary of environment variables
   log_level: <string>  # log level that can be "debug", "info", "warning" or "error" (default: "info")
   shm_size: <string>  # size of shared memory (/dev/shm) for sharing data between multiple processes, e.g. 64Mi or 1Gi (default: Null)
@@ -49,8 +49,8 @@ predictor:
     batch_interval: <duration>  # the maximum amount of time to spend waiting for additional requests before running inference on the batch of requests
   config: <string: value>  # arbitrary dictionary passed to the constructor of the Predictor (can be overridden by config passed in job submission) (optional)
   python_path: <string>  # path to the root of your Python folder that will be appended to PYTHONPATH (default: folder containing cortex.yaml)
-  image: <string> # docker image to use for the Predictor (default: quay.io/cortexlabs/tensorflow-predictor:master)
-  tensorflow_serving_image: <string> # docker image to use for the TensorFlow Serving container (default: quay.io/cortexlabs/tensorflow-serving-cpu:master or quay.io/cortexlabs/tensorflow-serving-gpu:master based on compute)
+  image: <string> # docker image to use for the Predictor (default: quay.io/cortexlabs/tensorflow-predictor:0.31.0)
+  tensorflow_serving_image: <string> # docker image to use for the TensorFlow Serving container (default: quay.io/cortexlabs/tensorflow-serving-cpu:0.31.0 or quay.io/cortexlabs/tensorflow-serving-gpu:0.31.0 based on compute)
   env: <string: string>  # dictionary of environment variables
   log_level: <string>  # log level that can be "debug", "info", "warning" or "error" (default: "info")
   shm_size: <string>  # size of shared memory (/dev/shm) for sharing data between multiple processes, e.g. 64Mi or 1Gi (default: Null)
@@ -75,7 +75,7 @@ predictor:
       ...
   config: <string: value>  # arbitrary dictionary passed to the constructor of the Predictor (can be overridden by config passed in job submission) (optional)
   python_path: <string>  # path to the root of your Python folder that will be appended to PYTHONPATH (default: folder containing cortex.yaml)
-  image: <string> # docker image to use for the Predictor (default: quay.io/cortexlabs/onnx-predictor-cpu:master or quay.io/cortexlabs/onnx-predictor-gpu:master based on compute)
+  image: <string> # docker image to use for the Predictor (default: quay.io/cortexlabs/onnx-predictor-cpu:0.31.0 or quay.io/cortexlabs/onnx-predictor-gpu:0.31.0 based on compute)
   env: <string: string>  # dictionary of environment variables
   log_level: <string>  # log level that can be "debug", "info", "warning" or "error" (default: "info")
   shm_size: <string>  # size of shared memory (/dev/shm) for sharing data between multiple processes, e.g. 64Mi or 1Gi (default: Null)

docs/workloads/batch/predictors.md

@@ -143,7 +143,7 @@ class TensorFlowPredictor:
 ```
 
 <!-- CORTEX_VERSION_MINOR -->
-Cortex provides a `tensorflow_client` to your Predictor's constructor. `tensorflow_client` is an instance of [TensorFlowClient](https://github.com/cortexlabs/cortex/tree/master/pkg/cortex/serve/cortex_internal/lib/client/tensorflow.py) that manages a connection to a TensorFlow Serving container to make predictions using your model. It should be saved as an instance variable in your Predictor, and your `predict()` function should call `tensorflow_client.predict()` to make an inference with your exported TensorFlow model. Preprocessing of the JSON payload and postprocessing of predictions can be implemented in your `predict()` function as well.
+Cortex provides a `tensorflow_client` to your Predictor's constructor. `tensorflow_client` is an instance of [TensorFlowClient](https://github.com/cortexlabs/cortex/tree/0.31/pkg/cortex/serve/cortex_internal/lib/client/tensorflow.py) that manages a connection to a TensorFlow Serving container to make predictions using your model. It should be saved as an instance variable in your Predictor, and your `predict()` function should call `tensorflow_client.predict()` to make an inference with your exported TensorFlow model. Preprocessing of the JSON payload and postprocessing of predictions can be implemented in your `predict()` function as well.
 
 When multiple models are defined using the Predictor's `models` field, the `tensorflow_client.predict()` method expects a second argument `model_name` which must hold the name of the model that you want to use for inference (for example: `self.client.predict(payload, "text-generator")`).
 
@@ -204,7 +204,7 @@ class ONNXPredictor:
 ```
 
 <!-- CORTEX_VERSION_MINOR -->
-Cortex provides an `onnx_client` to your Predictor's constructor. `onnx_client` is an instance of [ONNXClient](https://github.com/cortexlabs/cortex/tree/master/pkg/cortex/serve/cortex_internal/lib/client/onnx.py) that manages an ONNX Runtime session to make predictions using your model. It should be saved as an instance variable in your Predictor, and your `predict()` function should call `onnx_client.predict()` to make an inference with your exported ONNX model. Preprocessing of the JSON payload and postprocessing of predictions can be implemented in your `predict()` function as well.
+Cortex provides an `onnx_client` to your Predictor's constructor. `onnx_client` is an instance of [ONNXClient](https://github.com/cortexlabs/cortex/tree/0.31/pkg/cortex/serve/cortex_internal/lib/client/onnx.py) that manages an ONNX Runtime session to make predictions using your model. It should be saved as an instance variable in your Predictor, and your `predict()` function should call `onnx_client.predict()` to make an inference with your exported ONNX model. Preprocessing of the JSON payload and postprocessing of predictions can be implemented in your `predict()` function as well.
 
 When multiple models are defined using the Predictor's `models` field, the `onnx_client.predict()` method expects a second argument `model_name` which must hold the name of the model that you want to use for inference (for example: `self.client.predict(model_input, "text-generator")`).