Update stable version to 0.11.1

docs/cluster-management/config.md

@@ -63,23 +63,23 @@ spot_config:
   instance_pools: 2
 
 # docker image paths
-image_predictor_serve: cortexlabs/predictor-serve:0.11.0
-image_predictor_serve_gpu: cortexlabs/predictor-serve-gpu:0.11.0
-image_tf_serve: cortexlabs/tf-serve:0.11.0
-image_tf_serve_gpu: cortexlabs/tf-serve-gpu:0.11.0
-image_tf_api: cortexlabs/tf-api:0.11.0
-image_onnx_serve: cortexlabs/onnx-serve:0.11.0
-image_onnx_serve_gpu: cortexlabs/onnx-serve-gpu:0.11.0
-image_operator: cortexlabs/operator:0.11.0
-image_manager: cortexlabs/manager:0.11.0
-image_downloader: cortexlabs/downloader:0.11.0
-image_cluster_autoscaler: cortexlabs/cluster-autoscaler:0.11.0
-image_metrics_server: cortexlabs/metrics-server:0.11.0
-image_nvidia: cortexlabs/nvidia:0.11.0
-image_fluentd: cortexlabs/fluentd:0.11.0
-image_statsd: cortexlabs/statsd:0.11.0
-image_istio_proxy: cortexlabs/istio-proxy:0.11.0
-image_istio_pilot: cortexlabs/istio-pilot:0.11.0
-image_istio_citadel: cortexlabs/istio-citadel:0.11.0
-image_istio_galley: cortexlabs/istio-galley:0.11.0
+image_predictor_serve: cortexlabs/predictor-serve:0.11.1
+image_predictor_serve_gpu: cortexlabs/predictor-serve-gpu:0.11.1
+image_tf_serve: cortexlabs/tf-serve:0.11.1
+image_tf_serve_gpu: cortexlabs/tf-serve-gpu:0.11.1
+image_tf_api: cortexlabs/tf-api:0.11.1
+image_onnx_serve: cortexlabs/onnx-serve:0.11.1
+image_onnx_serve_gpu: cortexlabs/onnx-serve-gpu:0.11.1
+image_operator: cortexlabs/operator:0.11.1
+image_manager: cortexlabs/manager:0.11.1
+image_downloader: cortexlabs/downloader:0.11.1
+image_cluster_autoscaler: cortexlabs/cluster-autoscaler:0.11.1
+image_metrics_server: cortexlabs/metrics-server:0.11.1
+image_nvidia: cortexlabs/nvidia:0.11.1
+image_fluentd: cortexlabs/fluentd:0.11.1
+image_statsd: cortexlabs/statsd:0.11.1
+image_istio_proxy: cortexlabs/istio-proxy:0.11.1
+image_istio_pilot: cortexlabs/istio-pilot:0.11.1
+image_istio_citadel: cortexlabs/istio-citadel:0.11.1
+image_istio_galley: cortexlabs/istio-galley:0.11.1
 ```

docs/deployments/python-client.md

@@ -4,7 +4,7 @@ The Python client can be used to programmatically deploy models to a Cortex Clus
 
 <!-- CORTEX_VERSION_BRANCH_STABLE, e.g. v0.9.0 -->
 ```bash
-pip install git+https://github.com/cortexlabs/[email protected].0#egg=cortex\&subdirectory=pkg/workloads/cortex/client
+pip install git+https://github.com/cortexlabs/[email protected].1#egg=cortex\&subdirectory=pkg/workloads/cortex/client
 ```
 
 The Python client needs to be initialized with AWS credentials and an operator URL for your Cortex cluster. You can find the operator URL by running `cortex cluster info`.

get-cli.sh

@@ -16,7 +16,7 @@
 
 set -e
 
-CORTEX_VERSION_BRANCH_STABLE=0.11.0
+CORTEX_VERSION_BRANCH_STABLE=0.11.1
 
 case "$OSTYPE" in
   darwin*)  parsed_os="darwin" ;;