Merge branch 'master' into K-Jo-patch-1

Author: alonre24

.circleci/config.yml

@@ -0,0 +1,21 @@
+name-template: 'Version $NEXT_PATCH_VERSION'
+tag-template: 'v$NEXT_PATCH_VERSION'
+categories:
+  - title: 'Features'
+    labels:
+      - 'feature'
+      - 'enhancement'
+  - title: 'Bug Fixes'
+    labels:
+      - 'fix'
+      - 'bugfix'
+      - 'bug'
+  - title: 'Maintenance'
+    label: 'chore'
+change-template: '- $TITLE (#$NUMBER)'
+exclude-labels:
+  - 'skip-changelog'
+template: |
+  ## Changes
+
+  $CHANGES

.github/release-drafter-config.yml

@@ -0,0 +1,19 @@
+name: Release Drafter
+
+on:
+  push:
+    # branches to consider in the event; optional, defaults to all
+    branches:
+      - master
+
+jobs:
+  update_release_draft:
+    runs-on: ubuntu-latest
+    steps:
+      # Drafts your next Release notes as Pull Requests are merged into "master"
+      - uses: release-drafter/release-drafter@v5
+        with:
+          # (Optional) specify config name to use, relative to .github/. Default: release-drafter.yml
+           config-name: release-drafter-config.yml
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

.github/workflows/release-drafter.yml

@@ -1,6 +1,6 @@
 # BUILD redisfab/redisai:${VERSION}-cpu-${ARCH}-${OSNICK}
 
-ARG REDIS_VER=6.0.9
+ARG REDIS_VER=6.2.4
 
 # OSNICK=bionic|stretch|buster
 ARG OSNICK=buster

Dockerfile

@@ -1,6 +1,6 @@
 # BUILD redisfab/redisai:${VERSION}-jetson-${ARCH}-${OSNICK}
 
-ARG REDIS_VER=6.0.9
+ARG REDIS_VER=6.2.4
 
 # OSNICK=bionic|centos7|centos6
 ARG OSNICK=bionic

Dockerfile.arm

@@ -23,13 +23,13 @@ If you want to run examples, make sure you have [git-lfs](https://git-lfs.github
 To quickly tryout RedisAI, launch an instance using docker:
 
 ```sh
-docker run -p 6379:6379 -it --rm redislabs/redisai:edge-cpu
+docker run -p 6379:6379 -it --rm redislabs/redisai:edge-cpu-xenial
 ```
 
 For docker instance with GPU support, you can launch it from `tensorwerk/redisai-gpu`
 
 ```sh
-docker run -p 6379:6379 --gpus all -it --rm redislabs/redisai:edge-gpu
+docker run -p 6379:6379 --gpus all -it --rm redislabs/redisai:edge-gpu-xenial
 ```
 
 But if you'd like to build the docker image, you need a machine that has Nvidia driver (CUDA 10.0), nvidia-container-toolkit and Docker 19.03+ installed. For detailed information, checkout [nvidia-docker documentation](https://github.com/NVIDIA/nvidia-docker)
@@ -98,12 +98,12 @@ Note: in order to use the PyTorch backend on Linux, at least `gcc 4.9.2` is requ
 
 ### Running the server
 
-You will need a redis-server version 5.0.7 or greater. This should be
+You will need a redis-server version 6.0 or greater. This should be
 available in most recent distributions:
 
 ```sh
 redis-server --version
-Redis server v=5.0.7 sha=00000000:0 malloc=libc bits=64 build=c49f4faf7c3c647a
+Redis server v=6.2.5 sha=00000000:0 malloc=jemalloc-5.2.1 bits=64 build=c3504d808f2b2793
 ```
 
 To start Redis with the RedisAI module loaded: