From e03034fa7eb7ca632de670f6cf48cf11f7f214d5 Mon Sep 17 00:00:00 2001 From: Rafael Vasquez Date: Fri, 11 Mar 2022 13:01:39 -0500 Subject: [PATCH 01/21] Add dev doc links to CONTRIBUTING.md (#312) Resolves a task from #304 Signed-off-by: Rafael Vasquez --- CONTRIBUTING.md | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index c1c7bff6..a5194b99 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -32,6 +32,14 @@ maintainers of each component affected. For a list of the maintainers, see the [MAINTAINERS.md](MAINTAINERS.md) page. +## Getting Started + + **MLX Dashboard Web UI** +- Information regarding configuration, deployment, and development setup can be found [here](https://github.com/machine-learning-exchange/mlx/blob/main/dashboard/origin-mlx/README.md). + +**MLX API** +- Quickstart and development setup documentation can be found [here](https://github.com/machine-learning-exchange/mlx/tree/main/api). + ## Legal Each source file must include a license header for the Apache @@ -72,14 +80,6 @@ git commit -s ## Communication Please feel free to connect with us on our [Slack channel](https://lfaifoundation.slack.com/archives/C0264LKNH63). -## Setup -**FIXME** Please add any special setup instructions for your project to help the developer -become productive quickly. - -## Testing -**FIXME** Please provide information that helps the developer test any changes they make -before submitting. - ## Coding style guidelines **FIXME** Optional, but recommended: please share any specific style guidelines you might have for your project. From a5d61779e9ecefa8604146018cd8494fb2e488e4 Mon Sep 17 00:00:00 2001 From: Rafael Vasquez Date: Wed, 16 Mar 2022 13:31:01 -0400 Subject: [PATCH 02/21] Fixes the references to latest kfctl release (#311) Resolves a task from #304 Signed-off-by: Rafael Vasquez --- docs/mlx-install-with-kubeflow.md | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/docs/mlx-install-with-kubeflow.md b/docs/mlx-install-with-kubeflow.md index a07e9e8d..15bf3149 100644 --- a/docs/mlx-install-with-kubeflow.md +++ b/docs/mlx-install-with-kubeflow.md @@ -20,9 +20,7 @@ Run the following commands to set up and deploy Kubeflow: -1. Download the latest kfctl {{% kf-latest-version %}} release from the - [Kubeflow releases - page](https://github.com/kubeflow/kfctl/releases/tag/{{% kf-latest-version %}}). +1. Download the [latest kfctl release](https://github.com/kubeflow/kfctl/releases/latest) from the [Kubeflow releases page](https://github.com/kubeflow/kfctl/releases/). **Note**: You're strongly recommended to install **kfctl v1.2** or above because kfctl v1.2 addresses several critical bugs that can break the Kubeflow deployment. From 07377ffc061aae9b72dc35577a590060289f1625 Mon Sep 17 00:00:00 2001 From: Christian Kadner Date: Fri, 18 Mar 2022 14:03:57 -0700 Subject: [PATCH 03/21] Do not verify links in project dependencies (#320) Resolves #319 Signed-off-by: Christian Kadner --- tools/python/verify_doc_links.py | 24 +++++++++++++++++++----- 1 file changed, 19 insertions(+), 5 deletions(-) diff --git a/tools/python/verify_doc_links.py b/tools/python/verify_doc_links.py index 2ee07ab1..fb66650b 100755 --- a/tools/python/verify_doc_links.py +++ b/tools/python/verify_doc_links.py @@ -24,6 +24,11 @@ "/bootstrapper/catalog_upload.json", ] +excluded_paths = [ + "node_modules", + "temp", +] + script_folder = abspath(dirname(__file__)) project_root_dir = abspath(dirname(dirname(script_folder))) github_repo_master_path = "{}/blob/master".format(GITHUB_REPO.rstrip("/")) @@ -40,16 +45,25 @@ def find_md_files() -> [str]: print(" " + path_expr.lstrip("/")) print("") - md_files_list_of_lists = [glob(project_root_dir + path_expr, recursive=True) - for path_expr in md_file_path_expressions] + list_of_lists = [glob(project_root_dir + path_expr, recursive=True) + for path_expr in md_file_path_expressions] + + flattened_list = list(itertools.chain(*list_of_lists)) + + filtered_list = [path for path in flattened_list + if not any(s in path for s in excluded_paths)] - return sorted(list(itertools.chain(*md_files_list_of_lists))) + return sorted(filtered_list) -def get_links_from_md_file(md_file_path: str) -> [(int, str, str)]: # -> [(line, link_text, URL)] +def get_links_from_md_file(md_file_path: str) -> [(int, str, str)]: # -> [(line, link_text, URL)] with open(md_file_path, "r") as f: - md_file_content = f.read() + try: + md_file_content = f.read() + except ValueError as e: + print(f"Error trying to load file {md_file_path}") + raise e folder = relpath(dirname(md_file_path), project_root_dir) From e26ce79524a080661a3b4c5705428d0569594bec Mon Sep 17 00:00:00 2001 From: Rafael Vasquez Date: Fri, 18 Mar 2022 18:49:17 -0400 Subject: [PATCH 04/21] Add navigation and description table of docs (#314) * Create readme for docs * Add description table to readme * Add links to table * update relative links * Change documentation to document Signed-off-by: Rafael Vasquez --- docs/README.md | 12 ++++++++++++ 1 file changed, 12 insertions(+) create mode 100644 docs/README.md diff --git a/docs/README.md b/docs/README.md new file mode 100644 index 00000000..d33951ad --- /dev/null +++ b/docs/README.md @@ -0,0 +1,12 @@ +| Document | Description | +| :----------- | :------------- | +| [import-assets.md](./import-assets.md) | Import a catalog of assets to an MLX instance | +| [install-mlx-on-kind.md](./install-mlx-on-kind.md) | Deploy MLX on [Kubernetes in Docker (KIND)](https://kind.sigs.k8s.io/docs/user/quick-start/#installation) | +| [install-mlx-on-kubeflow.md](./install-mlx-on-kubeflow.md) | Deploy MLX on an existing Kubeflow cluster | +| [mlx-install-operator.md](./mlx-install-operator.md) | Deploy MLX using [Kubeflow Operator](https://www.kubeflow.org/docs/distributions/operator/introduction/) | +| [mlx-install-with-kubeflow.md](./mlx-install-with-kubeflow.md) | Deploy MLX on an existing Kubernetes or OpenShift cluster | +| [mlx-read-only-deployment.md](./mlx-read-only-deployment.md) | Deploy MLX in Read-Only Mode on an existing Kubernetes or OpenShift cluster | +| [mlx-setup.md](./mlx-setup.md) | Deploy MLX in single-user mode on an existing Kubernetes or OpenShift cluster | +| [mlx-workshop.md](./mlx-workshop.md) | MLX Tutorial demonstrating data analysis, model training and deployment on Kubernetes | +| [troubleshooting.md](./troubleshooting.md) | Common issues deploying MLX | +| [usage-steps.md](./usage-steps.md) | Navigation links to step-by-step usage tutorials | \ No newline at end of file From e3bfcc70c5ef044e57c578f6979997bd27283482 Mon Sep 17 00:00:00 2001 From: Rafael Vasquez Date: Wed, 30 Mar 2022 16:22:55 -0400 Subject: [PATCH 05/21] Add script to update the docs table (#317) Signed-off-by: Rafael Vasquez --- Makefile | 5 ++ docs/README.md | 26 +++++----- docs/mlx-read-only-deployment.md | 1 - tools/python/update_doc_table.py | 87 ++++++++++++++++++++++++++++++++ 4 files changed, 106 insertions(+), 13 deletions(-) create mode 100755 tools/python/update_doc_table.py diff --git a/Makefile b/Makefile index 51ab5087..804bdded 100644 --- a/Makefile +++ b/Makefile @@ -26,6 +26,11 @@ check_doc_links: ## Check markdown files for invalid links @python3 tools/python/verify_doc_links.py @echo "$@: OK" +.PHONY: update_doc_table +update_doc_table: ## Check markdown files for invalid links + @python3 tools/python/update_doc_table.py + @echo "$@: OK" + .PHONY: check_license check_license: ## Make sure source files have license header @git grep -L "SPDX-License-Identifier: Apache-2.0" -- *.py *.yml *.yaml *.sh *.html *.js *.css *.ts *.tsx ':!*.bundle.js' | \ diff --git a/docs/README.md b/docs/README.md index d33951ad..ad2a30ad 100644 --- a/docs/README.md +++ b/docs/README.md @@ -1,12 +1,14 @@ -| Document | Description | -| :----------- | :------------- | -| [import-assets.md](./import-assets.md) | Import a catalog of assets to an MLX instance | -| [install-mlx-on-kind.md](./install-mlx-on-kind.md) | Deploy MLX on [Kubernetes in Docker (KIND)](https://kind.sigs.k8s.io/docs/user/quick-start/#installation) | -| [install-mlx-on-kubeflow.md](./install-mlx-on-kubeflow.md) | Deploy MLX on an existing Kubeflow cluster | -| [mlx-install-operator.md](./mlx-install-operator.md) | Deploy MLX using [Kubeflow Operator](https://www.kubeflow.org/docs/distributions/operator/introduction/) | -| [mlx-install-with-kubeflow.md](./mlx-install-with-kubeflow.md) | Deploy MLX on an existing Kubernetes or OpenShift cluster | -| [mlx-read-only-deployment.md](./mlx-read-only-deployment.md) | Deploy MLX in Read-Only Mode on an existing Kubernetes or OpenShift cluster | -| [mlx-setup.md](./mlx-setup.md) | Deploy MLX in single-user mode on an existing Kubernetes or OpenShift cluster | -| [mlx-workshop.md](./mlx-workshop.md) | MLX Tutorial demonstrating data analysis, model training and deployment on Kubernetes | -| [troubleshooting.md](./troubleshooting.md) | Common issues deploying MLX | -| [usage-steps.md](./usage-steps.md) | Navigation links to step-by-step usage tutorials | \ No newline at end of file + + +| Document | Description | +| --- | --- | +| [import-assets.md](./import-assets.md) | Import Data and AI Assets in MLX Catalog | +| [install-mlx-on-kind.md](./install-mlx-on-kind.md) | Deploy MLX on KIND | +| [install-mlx-on-kubeflow.md](./install-mlx-on-kubeflow.md) | Deploy MLX on an Existing Kubeflow Cluster | +| [mlx-install-operator.md](./mlx-install-operator.md) | Install Operator Manually | +| [mlx-install-with-kubeflow.md](./mlx-install-with-kubeflow.md) | MLX Deployment on Kubernetes or OpenShift (Asset Catalog and Execution Engine) | +| [mlx-read-only-deployment.md](./mlx-read-only-deployment.md) | Deploy the MLX Read-Only mode on an Existing Kubernetes Cluster | +| [mlx-setup.md](./mlx-setup.md) | Deploy MLX on an existing Kubernetes cluster | +| [mlx-workshop.md](./mlx-workshop.md) | MLX Workshop | +| [troubleshooting.md](./troubleshooting.md) | Troubleshooting | +| [usage-steps.md](./usage-steps.md) | Usage Steps | diff --git a/docs/mlx-read-only-deployment.md b/docs/mlx-read-only-deployment.md index 55692aa5..38780ed3 100644 --- a/docs/mlx-read-only-deployment.md +++ b/docs/mlx-read-only-deployment.md @@ -1,4 +1,3 @@ - ## Deploy the MLX Read-Only mode on an Existing Kubernetes Cluster To deploy MLX in read-only mode on an existing Kubernetes cluster without Kubeflow, clone the MLX repo and apply the manifest using Kustomize: diff --git a/tools/python/update_doc_table.py b/tools/python/update_doc_table.py new file mode 100755 index 00000000..710cb2f6 --- /dev/null +++ b/tools/python/update_doc_table.py @@ -0,0 +1,87 @@ +#!/usr/bin/env python3 + +# Copyright 2021 The MLX Contributors +# +# SPDX-License-Identifier: Apache-2.0 + +""" + This script is used to (re)generate the /docs/README.md file with a table that describes the + purpose of each document. Run it from the project root folder via `make update_doc_table`. +""" + +import itertools +import re + +from glob import glob +from os.path import abspath, dirname, split + +md_file_path_expressions = [ + "/docs/*.md" +] + +script_folder = abspath(dirname(__file__)) +project_root_dir = abspath(dirname(dirname(script_folder))) + + +def find_md_files() -> [str]: + + print("Checking for Markdown files here:\n") + for path_expr in md_file_path_expressions: + print(" " + path_expr.lstrip("/")) + print("") + + md_files_list_of_lists = [glob(project_root_dir + path_expr, recursive=True) + for path_expr in md_file_path_expressions] + + return sorted(list(itertools.chain(*md_files_list_of_lists))) + + +def get_header_from_md_file(md_file_path: str) -> [str]: + + with open(md_file_path, "r") as f: + md_file_content = f.readline() + + # remove "#" and newline character + header = re.sub(r"#+ *|\n", "", md_file_content) + + # return description header + return header + + +def update_doc_table() -> [str]: + + # 1. find all relevant Markdown files + md_file_paths = find_md_files() + + # 2. extract all descriptions using headers (first line) from files + descriptions = [ + get_header_from_md_file(file) + for file in md_file_paths + ] + + # 3. format filenames as Markdown hyperlinks: [name](url) + md_filenames = ["[" + split(file)[1] + "](./" + split(file)[1] + ")" + for file in md_file_paths] + + table = [] + table.append( + "\n" + "\n" + "| Document | Description |\n" + "| --- | --- |" + ) + + for i in range(len(md_filenames)): + if("README.md" in md_filenames[i]): + continue + table.append( + f"| {md_filenames[i]} | {descriptions[i]} |" + ) + + f = open("./docs/README.md", "w") + f.write("\n".join(table)) + f.close() + + +if __name__ == '__main__': + update_doc_table() From 3671efaf18557ecf2d3ff598c3465a5571455875 Mon Sep 17 00:00:00 2001 From: Krishna Kumar Ramachandran Date: Wed, 30 Mar 2022 18:02:03 -0400 Subject: [PATCH 06/21] Modified the way sed version is set (#315) Instead of checking the operating system or shell emulator, test which version of `sed` is actually installed in the local environment. Resolves #301 Signed-off-by: Krishna Kumar --- api/codegen.sh | 17 ++++++----------- tools/bash/add_license_headers.sh | 17 +++++++---------- 2 files changed, 13 insertions(+), 21 deletions(-) diff --git a/api/codegen.sh b/api/codegen.sh index 066f5f09..d63ad7c1 100755 --- a/api/codegen.sh +++ b/api/codegen.sh @@ -44,18 +44,13 @@ swagger-codegen generate -i swagger/swagger.yaml -l python-flask -o server 2>&1 # set interactive mode to enable defining a gsed alias shopt -s expand_aliases -# we use sed to make in-file text replacements, but sed works differently on macOS and Linux -if [[ "$OSTYPE" == "linux-gnu"* ]]; then # Linux - alias gsed="sed -i" -elif [[ "$OSTYPE" == "darwin"* ]]; then # macOS - alias gsed="sed -i ''" -elif [[ "$OSTYPE" == "cygwin" ]]; then # POSIX compatible emulation for Windows - alias gsed="sed -i" -elif [[ "$OSTYPE" == "msys"* ]]; then # Git Bash (Windows) - alias gsed="sed -i" +# we use sed to make in-file text replacements, but sed works differently depending on the version +if ! sed -i '1s/^/test/' $(mktemp) 2> /dev/null; then + # macOS (BSD) version of sed + alias gsed="sed -i ''" else - echo "FAILED. OS not compatible with script '${BASH_SOURCE[0]}'" - exit 1 + # POSIX compliant version of sed + alias gsed="sed -i" fi export gsed diff --git a/tools/bash/add_license_headers.sh b/tools/bash/add_license_headers.sh index f8b572e9..e6ef21a2 100755 --- a/tools/bash/add_license_headers.sh +++ b/tools/bash/add_license_headers.sh @@ -7,18 +7,15 @@ # set interactive mode to enable defining a gsed alias shopt -s expand_aliases -if [[ "$OSTYPE" == "linux-gnu"* ]]; then # Linux - alias gsed="sed -i" -elif [[ "$OSTYPE" == "darwin"* ]]; then # macOS - alias gsed="sed -i ''" -elif [[ "$OSTYPE" == "cygwin" ]]; then # POSIX compatible emulation for Windows - alias gsed="sed -i" -elif [[ "$OSTYPE" == "msys"* ]]; then # Git Bash (Windows) - alias gsed="sed -i" +# we use sed to make in-file text replacements, but sed works differently depending on the version +if ! sed -i '1s/^/test/' $(mktemp) 2> /dev/null; then + # macOS (BSD) version of sed + alias gsed="sed -i ''" else - echo "FAILED. OS not compatible with script '${BASH_SOURCE[0]}'" - exit 1 + # POSIX compliant version of sed + alias gsed="sed -i" fi + export gsed hash_comment () { From 8b8e639d81a9fdf2de31d3fb9ad61cb960cf7a47 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Wed, 30 Mar 2022 15:14:18 -0700 Subject: [PATCH 07/21] Bump waitress from 2.0.0 to 2.1.1 in /api/server (#321) Bumps [waitress](https://github.com/Pylons/waitress) from 2.0.0 to 2.1.1. - [Release notes](https://github.com/Pylons/waitress/releases) - [Changelog](https://github.com/Pylons/waitress/blob/master/CHANGES.txt) - [Commits](https://github.com/Pylons/waitress/compare/v2.0.0...v2.1.1) --- updated-dependencies: - dependency-name: waitress dependency-type: direct:production ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- api/server/requirements.txt | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/api/server/requirements.txt b/api/server/requirements.txt index 83ca9dd9..c86481a3 100644 --- a/api/server/requirements.txt +++ b/api/server/requirements.txt @@ -14,10 +14,6 @@ ansiwrap==0.8.4 # via papermill anyio==3.5.0 # via jupyter-server -appnope==0.1.2 - # via - # ipykernel - # ipython argon2-cffi==21.3.0 # via # jupyter-server @@ -612,7 +608,7 @@ urllib3==1.26.8 # kubernetes # minio # requests -waitress==2.0.0 +waitress==2.1.1 # via -r requirements.in watchdog==2.1.6 # via elyra-server From 262f26b9ce6d7523b8f58a8eb86434e0e3654e13 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Wed, 30 Mar 2022 15:14:51 -0700 Subject: [PATCH 08/21] Bump jupyter-server from 1.13.4 to 1.15.4 in /api/server (#324) Bumps [jupyter-server](https://github.com/jupyter/jupyter_server) from 1.13.4 to 1.15.4. - [Release notes](https://github.com/jupyter/jupyter_server/releases) - [Changelog](https://github.com/jupyter-server/jupyter_server/blob/main/CHANGELOG.md) - [Commits](https://github.com/jupyter/jupyter_server/compare/v1.13.4...v1.15.4) --- updated-dependencies: - dependency-name: jupyter-server dependency-type: indirect ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- api/server/requirements.txt | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/api/server/requirements.txt b/api/server/requirements.txt index c86481a3..3ba6948a 100644 --- a/api/server/requirements.txt +++ b/api/server/requirements.txt @@ -184,10 +184,7 @@ ipython==8.0.1 # ipykernel # jupyterlab ipython-genutils==0.2.0 - # via - # jupyter-server - # nbformat - # notebook + # via notebook isodate==0.6.1 # via openapi-schema-validator isort==5.10.1 @@ -240,7 +237,7 @@ jupyter-lsp==1.5.1 # via jupyterlab-lsp jupyter-resource-usage==0.6.1 # via elyra-server -jupyter-server==1.13.4 +jupyter-server==1.15.4 # via # elyra-server # jupyter-lsp @@ -323,7 +320,7 @@ nbdime==3.1.1 # via # elyra-server # jupyterlab-git -nbformat==5.1.3 +nbformat==5.2.0 # via # elyra-server # jupyter-server From e566b20c126e7aa0c0f8703b2d98592031ce09ad Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Wed, 30 Mar 2022 15:16:01 -0700 Subject: [PATCH 09/21] Bump minimist from 1.2.5 to 1.2.6 in /dashboard/origin-mlx (#326) Bumps [minimist](https://github.com/substack/minimist) from 1.2.5 to 1.2.6. - [Release notes](https://github.com/substack/minimist/releases) - [Commits](https://github.com/substack/minimist/compare/1.2.5...1.2.6) --- updated-dependencies: - dependency-name: minimist dependency-type: indirect ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- dashboard/origin-mlx/package-lock.json | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/dashboard/origin-mlx/package-lock.json b/dashboard/origin-mlx/package-lock.json index c70a1fbe..c31cfcfc 100644 --- a/dashboard/origin-mlx/package-lock.json +++ b/dashboard/origin-mlx/package-lock.json @@ -13436,9 +13436,9 @@ } }, "node_modules/minimist": { - "version": "1.2.5", - "resolved": "https://registry.npmjs.org/minimist/-/minimist-1.2.5.tgz", - "integrity": "sha512-FM9nNUYrRBAELZQT3xeZQ7fmMOBg6nWNmJKTcgsJeaLstP/UODVpGsr5OhXhhXg6f+qtJ8uiZ+PUxkDWcgIXLw==" + "version": "1.2.6", + "resolved": "https://registry.npmjs.org/minimist/-/minimist-1.2.6.tgz", + "integrity": "sha512-Jsjnk4bw3YJqYzbdyBiNsPWHPfO++UGG749Cxs6peCu5Xg4nrena6OVxOYxrQTqww0Jmwt+Ref8rggumkTLz9Q==" }, "node_modules/minipass": { "version": "3.1.6", @@ -31587,9 +31587,9 @@ } }, "minimist": { - "version": "1.2.5", - "resolved": "https://registry.npmjs.org/minimist/-/minimist-1.2.5.tgz", - "integrity": "sha512-FM9nNUYrRBAELZQT3xeZQ7fmMOBg6nWNmJKTcgsJeaLstP/UODVpGsr5OhXhhXg6f+qtJ8uiZ+PUxkDWcgIXLw==" + "version": "1.2.6", + "resolved": "https://registry.npmjs.org/minimist/-/minimist-1.2.6.tgz", + "integrity": "sha512-Jsjnk4bw3YJqYzbdyBiNsPWHPfO++UGG749Cxs6peCu5Xg4nrena6OVxOYxrQTqww0Jmwt+Ref8rggumkTLz9Q==" }, "minipass": { "version": "3.1.6", From ef85c6956092d8add2caf6ba871e872ade944fc2 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Fri, 8 Apr 2022 12:57:04 -0700 Subject: [PATCH 10/21] Bump notebook from 6.4.8 to 6.4.10 in /api/server (#327) Bumps [notebook](http://jupyter.org) from 6.4.8 to 6.4.10. --- updated-dependencies: - dependency-name: notebook dependency-type: indirect ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- api/server/requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/api/server/requirements.txt b/api/server/requirements.txt index 3ba6948a..69f21563 100644 --- a/api/server/requirements.txt +++ b/api/server/requirements.txt @@ -338,7 +338,7 @@ nest-asyncio==1.5.4 # notebook networkx==2.6.3 # via elyra-server -notebook==6.4.8 +notebook==6.4.10 # via nbclassic numpy==1.22.1 # via From fe965beebecb026b302b19a148621e87799e1560 Mon Sep 17 00:00:00 2001 From: Pavan Pss Date: Wed, 30 Mar 2022 13:02:12 -0700 Subject: [PATCH 11/21] Update API developer docs (#325) * Add codegen workflow diagram * Describe codegen workflow * Describe API server package modules Closes #325 Signed-off-by: Pavan Pss Co-authored-by: Christian Kadner --- api/README.md | 76 ++++++++++++++++++++++++++++++--------- api/codegen_workflow.png | Bin 0 -> 31384 bytes api/server/README.md | 20 +++++++++-- 3 files changed, 78 insertions(+), 18 deletions(-) create mode 100644 api/codegen_workflow.png diff --git a/api/README.md b/api/README.md index 62619c37..b19dc814 100644 --- a/api/README.md +++ b/api/README.md @@ -1,29 +1,59 @@ -# Machine Learning Exchange API - Python Client and Python-Flask Server +# MLX API - Python Client and Python-Flask Server -An extension to the Kubeflow Pipeline API for Components and Models +The MLX API is an extension to the Kubeflow Pipeline API with additional API +endpoints for Dataset, Models, Notebooks and Pipeline Components. +We use [OpenAPI v2 (fka Swagger)](https://swagger.io/specification/v2/) for the +[API specification](swagger/swagger.yaml). ---- -# Quickstart +# Deploy to Kubernetes -## Deploy to Kubernetes +If you already have a Kubeflow Pipelines deployment on a Kubernetes cluster, you +can use the following steps to deploy the MLX API on top of it. However, for a full +deployment of MLX we recommend following on of these [guides](../README.md#1-deployment) - kubectl apply -f ./server/mlx-api.yml +1) Run kubectl command to apply the manifest -## Find API Server Host and Port + `kubectl apply -f ./server/mlx-api.yml` - export API_HOST=$(kubectl get nodes -o jsonpath='{.items[].status.addresses[?(@.type=="ExternalIP")].address}') - export API_PORT=$(kubectl get service mlx-api -n kubeflow -o jsonpath='{.spec.ports[0].nodePort}') +2) Find API Server Host and Port -## Open the Swagger UI in a Web Browser + `export API_HOST=$(kubectl get nodes -o jsonpath='{.items[].status.addresses[?(@.type=="ExternalIP")].address}')` + `export API_PORT=$(kubectl get service mlx-api -n kubeflow -o jsonpath='{.spec.ports[0].nodePort}')` - open "http://${API_HOST}:${API_PORT}/apis/v1alpha1/ui/" +3) Open the Swagger UI in a Web Browser + + `open "http://${API_HOST}:${API_PORT}/apis/v1alpha1/ui/" ` + --- -# Development Setup +# API Development + +## Code Generation Overview + +![API Codegeneration Workflow](codegen_workflow.png) + +- Changes/additions to the API are done in the API [spec](swagger/swagger.yaml) +- The [`generate_code.sh`](generate_code.sh) script validates the API [spec](swagger/swagger.yaml) + and generates [`client`](client) and [`server`](server) Python packages. + The [examples](examples) package is hand-written based on the usage examples + inside the `client` package +- Instead of a static HTML documentation for the API endpoints, a Swagger UI web + interface will be generated on the fly when the Python server is started +- The API endpoints and the JSON data model is documented under [`client/docs`](client/docs) + in Markdown format which works well when browsing through the GitHub repo +- After the code generation, we need to copy any new API method stubs (if any new) + from the [`server/swagger_server/controllers`](server/swagger_server/controllers) folder + to the [`server/swagger_server/controllers_impl`](server/swagger_server/controllers_impl) + folder and implement the actual business logic +- If existing API method signatures got updated, we need to update the existing + `controller_impl` methods respectively + -## Swagger Codegen 2.4 +## Development Setup + +### Swagger Codegen 2.4 To generate our API we are using [`swagger-codegen`](https://github.com/swagger-api/swagger-codegen/tree/v2.4.8#prerequisites) version [`2.4`](https://repo1.maven.org/maven2/io/swagger/swagger-codegen-cli/2.4.8/swagger-codegen-cli-2.4.8.jar) @@ -48,20 +78,29 @@ will automatically download the _"correct"_ version of the `swagger-codegen-cli. # brew install swagger-codegen@2 # brew link --force swagger-codegen@2 -## Create a Python Virtual Environment for Development +### Create a Python Virtual Environment for Development python3 -m venv .venv source .venv/bin/activate -## Install the Python Package Dependencies +### Install the Python Package Dependencies # cd # cd api pip install -r ./requirements.txt + + ## (Re-)Generate Swagger Client and Server Code +If there are changes to the [API spec](swagger/swagger.yaml) then we need to re- +generate the API client and server code. Do not run the script `codegen.sh` +on its own, since Swagger generates a lot of unwanted and some breaking changes. +Instead use the [generate_code.sh](generate_code.sh) script which runs the Swagger +codegen and tries to undo some of the code and documentation changes that are not +desired. + ./generate_code.sh ## Build the Docker Image @@ -86,7 +125,8 @@ or: kubectl delete -f ./server/mlx-api.yml kubectl apply -f ./server/mlx-api.yml -## Testing API Code Changes with Docker Compose + +## Testing API Code Changes Locally with Docker Compose You can test most code changes without a Kubernetes cluster. A K8s cluster is only required to `run` the generated sample pipeline code. 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z%G0M`y!v7k`0NC=JZzTC0dL_mZ924|M1y++Rl4-=vFBR(xoo9W@W%|$(-S*UsgIS| zm=Zq`t61Gt0(u6&LG-j_EVVzzg{5|VHe6rO`UOc*j3RY9rhapCGp6;;W897|20=RV z-&*b^RXQ@#I(dEdyyChZHW(*8IliK2>>rT8KnQRYKMyusdvDRm_6;%hUg^38ey`#P z_h>M0P)wifC@zjID!~3TdG;(jeuoa0@Ux$)HJl8hva?yo3Rx>~KeC4-5qcaR9X*&B z5bBJ7ig5B9k<&jIRO!c&W4B~JQtbyGd^D=M4i`C5uY3_de((_tj%`H}ttXl15ALB) zKm@j(HXlYr2>7SK1vCUZJtffc`y1qwEpj-J40n&*!Amf}gFR1SBRLqupF-0vy2s&o zufMN+5_(pQNQL+JH}J{#B9dr*Y%9ly%l+%vBdG(!gBQP3Z{$%vAvxeP0|G$fo hsew#{lVsa;e`!dW)(_I9BWDyV+*Fk Date: Fri, 22 Apr 2022 12:43:32 -0700 Subject: [PATCH 12/21] Update UI developer docs (#323) Closes #323 Signed-off-by: RRM123 --- README.md | 25 ++++--- dashboard/origin-mlx/OLD_README.md | 8 --- dashboard/origin-mlx/README.md | 84 ++++++++++++++++------- dashboard/origin-mlx/developer-guide.md | 89 ++++--------------------- dashboard/origin-mlx/mlx-ui.yaml | 6 +- 5 files changed, 93 insertions(+), 119 deletions(-) delete mode 100644 dashboard/origin-mlx/OLD_README.md diff --git a/README.md b/README.md index d2b0773c..02b1c9e2 100644 --- a/README.md +++ b/README.md @@ -13,11 +13,6 @@ Allows upload, registration, execution, and deployment of: - Datasets - Notebooks -For more details about the project please follow this [announcement blog post](https://lfaidata.foundation/blog/2021/09/28/machine-learning-exchange-mlx/). - - - - Additionally it provides: - Automated sample pipeline code generation to execute registered models, datasets and notebooks @@ -28,6 +23,12 @@ Additionally it provides: - Serving engine by [KFServing](https://github.com/kubeflow/kfserving) - Model Metadata schemas +For more details about the project check out this [announcement blog post](https://lfaidata.foundation/blog/2021/09/28/machine-learning-exchange-mlx/). + + + + + ## 1. Deployment @@ -66,13 +67,19 @@ oc get route -n istio-system ## 3. Import Data and AI Assets in MLX Catalog -[Import data and AI assets using MLX's catalog importer](/docs/import-assets.md) +For information on how to import data and AI assets using MLX's catalog importer, use this [guide](/docs/import-assets.md). ## 4. Use MLX -[MLX Usage Instructions](/docs/usage-steps.md) - -## 5. Troubleshooting +For information on how to use MLX and create assets check out this [guide](/docs/usage-steps.md). + +## 5. How to Contribute + +For information about adding new features, bug fixing, communication +or UI and API setup, refer to this [document](CONTRIBUTING.md). + + +## 6. Troubleshooting [MLX Troubleshooting Instructions](/docs/troubleshooting.md) diff --git a/dashboard/origin-mlx/OLD_README.md b/dashboard/origin-mlx/OLD_README.md deleted file mode 100644 index fb6ea1f3..00000000 --- a/dashboard/origin-mlx/OLD_README.md +++ /dev/null @@ -1,8 +0,0 @@ -# Machine Learning Exchange - -Machine Learning Exchange is -- A consistent way for data scientists to consume multiple phases and projects in AI lifecycle -- A consistent way for operators to be able to operate across AI lifecycle -- A composable layer, so different parts of the AI lifecycle can be snapped together like legos -- A one-stop shop for people interested in training, validating, deploying and monitoring AI models -- A place where AI practioners can share their reusable assets for parts of AI lifecycle \ No newline at end of file diff --git a/dashboard/origin-mlx/README.md b/dashboard/origin-mlx/README.md index 0fb85415..450a316a 100644 --- a/dashboard/origin-mlx/README.md +++ b/dashboard/origin-mlx/README.md @@ -1,10 +1,17 @@ # Machine Learning Exchange - Web UI -## Setup +This README contains information about the front end of the Machine Learning Exchange project. -This repo contains the code for the front end UI of the Machine Learning Exchange project. +## Prerequisites -To run this app, you'll need a current version of Node.js installed. +- [Node.js](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) + to build and run the MLX UI code locally +- [Docker](https://docs.docker.com/get-docker/) to rebuild the MLX UI image +- [`kubectl`](https://kubernetes.io/docs/tasks/tools/#kubectl) to redeploy + the `mlx-ui` service to Kubernetes + + +## Starting the MLX UI locally 1. First, clone this repo: ```Bash @@ -43,55 +50,80 @@ npm start http://localhost:3000/settings ``` -## Deploy MLX UI to Kubernetes +# Development Setup + +## Build a Docker Image for MLX UI + +```Bash +cd dashboard/origin-mlx +docker build -t /: -f Dockerfile . +docker push /: +``` + +## (Re-)Deploy to Kubernetes Cluster + +For information on how to deploy MLX on a Kubernetes Cluster or OpenShift on IBM +Cloud, check out the guide [here](/docs/mlx-setup.md). +Once the cluster has been deployed, the new `mlx-ui` container image will need to +be redeployed after changes to the UI code have been made. + +Change the container image in the deployment spec +[/manifests/base/mlx-deployments/mlx-ui.yaml](/manifests/base/mlx-deployments/mlx-ui.yaml) +under `spec.template.spec.containers` with `name: mlx-ui` +from `image: mlexchange/mlx-ui:nightly` +to `image: /:` +and then run: -First deploy the MLX UI. ```Bash -kubectl apply -f ./dashboard/origin-mlx/mlx-ui.yml +# navigate to the MLX root directory +# cd ../.. +kubectl delete -f manifests/base/mlx-deployments/mlx-ui.yaml +kubectl apply -f manifests/base/mlx-deployments/mlx-ui.yaml ``` Find the UI Host and Port. It may take some time before the MLX UI becomes available. + ```Bash export UI_HOST=$(kubectl get nodes -o jsonpath='{.items[].status.addresses[?(@.type=="ExternalIP")].address}') export UI_PORT=$(kubectl get service mlx-ui -n kubeflow -o jsonpath='{.spec.ports[0].nodePort}') ``` + Open the webpage in a browser: ```Bash open "http://${UI_HOST}:${UI_PORT}" ``` -# Development Setup - -## Build a Docker Image for MLX UI - -```Bash -cd dashboard/origin-mlx -docker build -t /: -f Dockerfile . -docker push /: -``` +## UI Development with Docker Compose -## (Re-)Deploy to Kubernetes Cluster +For information on how to get started with Docker Compose before making any changes +to the UI code, check out the [Quick Start Guide](/quickstart/README.md) and +take a look at the [docker-compose.yaml](/quickstart/docker-compose.yaml) file +to understand how the individual services like `mysql`, `minio`, `mlx-api`, `mlx-ui`, +etc. are working together. -Change the Docker image tag in the deployment spec server/mlx-ui.yml from image: ibmandrewbutler/open-ui:add-homepage to image: /: and then run: +The Docker Compose stack can be brought up and taken down by running the following +commands. The `--project-name` tag keeps the docker compose network and the volumes +(stored assets) separate from the quickstart for development. Each docker compose +project has separate network and volumes which can be viewed using +[Docker Desktop](https://www.docker.com/products/docker-desktop/): ```Bash -kubectl delete -f ./dashboard/origin-mlx/mlx-ui.yml -kubectl apply -f ./dashboard/origin-mlx/mlx-ui.yml +docker compose --project-name mlx up +docker compose --project-name mlx down ``` -## UI Development with Docker Compose - You can test most code changes without a Kubernetes cluster. A K8s cluster is only required to `run` the generated sample pipeline code. Running the Quickstart with Docker Compose is sufficient to test any `katalog` related API endpoints. A development setup that works very well requires to 2 shell terminals: -### Terminal 1 - Quickstart without `mlx-ui` service +### Terminal 1 - Quickstart without the `mlx-ui` service Bring up the Quickstart without the `mlx-ui` service, since we will run the MLX UI -from our local source code, instead of using the pre-built Docker image `mlexchange/mlx-ui:nightly-origin-main`. +from our local source code, instead of using the pre-built Docker image +`mlexchange/mlx-ui:nightly-origin-main`. ```Bash # cd @@ -116,7 +148,7 @@ docker compose rm -v -f docker volume prune -f ``` -### Terminal 2 - Start the UI server +### Terminal 2 - Start the MLX UI locally Navigate to the UI source folder: @@ -185,6 +217,10 @@ which matches a previous request and the difference of the time between the two To invalidate or hard reset the cache, navigate to the settings page (clicking the three dots at the bottom of the sidebar) and click on the `Reset Cache` button. +# Development Guidelines: + +For information on UI code structure, design principles, etc. check out the [MLX UI Developer Guide](developer-guide.md). + # Project Overview: ![MLX Overview](src/images/image1.png) diff --git a/dashboard/origin-mlx/developer-guide.md b/dashboard/origin-mlx/developer-guide.md index 549ea5cf..bd7162e8 100644 --- a/dashboard/origin-mlx/developer-guide.md +++ b/dashboard/origin-mlx/developer-guide.md @@ -1,6 +1,7 @@ # MLX UI (w/ React) ## React Design Principles + The key feature of React is composition of components. React works by having pages use components to add functionality which themselves use components to add functionality. ![LandingPage](/docs/images/LandingPage.png) @@ -11,74 +12,16 @@ Image 1: The Landing Page divided into some of its components. Image 2: MLX UI structure - -React Props vs. State: +### React Props vs. State: A components props and state are variables which dictate the changeable content of a component. For example, take a parent component that is a webpage and take a child component which represents a Button. The parent could ask for two Buttons with the text="Press" on one and text="Click" on the other. "Press" and "Click" would be the value of the variable props.text and should not be changed inside of the Button component. The state of these Buttons could be something like "clickNum" which defines how many times the button has been clicked.  Props - Parameters passed from the parent component. Props should not be changed inside the child component. If a prop is changed in a parent component then the child component will be recreated. State - Variables that dictate the current condition of the component. State can be changed inside the component. If a state variable is changed in a component then the component will be recreated. - -Lifecycle Methods: +### Lifecycle Methods: Each component has several “lifecycle methods” that you can override to run code at particular times in the process. Putting functions in different lifecycle methods will cause the function to be run at a specific point in a component's lifecycle. An example of this is running a function after a component is being unmounted (removed or refreshed). -## Startup - -General Startup Instructions: https://github.com/machine-learning-exchange/mlx/tree/main/dashboard/origin-mlx - -### Starting the MLX UI locally - -To run this app, you'll need a current version of Node.js installed. - -1. First, clone this repo: -```Bash -git clone https://github.com/machine-learning-exchange/mlx.git -``` - -2. Next, install the dependencies by running this command from within the newly created directory: -```Bash -npm install -``` - -3. Start the app with the following command: -```Bash -npm start -``` - -4. The app should now be accessible in your web browser at: -``` -http://localhost:3000 -``` - -### Starting the MLX UI locally with Docker API -``` -git clone https://github.com/machine-learning-exchange/mlx.git -cd mlx/ -cd dashboard/origin-mlx/ -rm -rf package-lock.json  -npm install -export REACT_APP_API="localhost:8080" -export REACT_APP_RUN="false" -export REACT_APP_UPLOAD="true" -export REACT_APP_DISABLE_LOGIN="true" -npm start -``` - -### Building an MLX UI Image - -``` -cd dashboard/origin-mlx -docker build -t /: -f Dockerfile . -docker push /: -``` - -### Change the UI image on a cluster deployment -Change the image in /manifests/base/mlx-deployments/mlx-ui.yaml under the container with the name mlx-ui at spec.template.spec.containers -``` -kubectl delete -f /manifests/base/mlx-deployments/mlx-ui.yaml -kubectl apply -f /manifests/base/mlx-deployments/mlx-ui.yaml -``` ## UI File Structure @@ -86,16 +29,13 @@ The folders which contain the pieces of the MLX UI: ![LandingPage](/docs/images/ui-folder-tree.png) - - -- **components/** - Small items which get used inside of pages. For example, the sidebar is used in all the pages, but is not a page itself. The major components are listed below. + - **components/** - Small items which get used inside of pages. For example, the sidebar is used in all the pages, but is not a page itself. The major components are listed below. - **Button/** - **Detail/** - The Detail folder contains the specific implementations of each asset type for the MetaDetailPage. The ComponentDetail, for example, has a MetadataView, RunView, and two SourceCodeDisplays. The ComponentDetail file represents the content of the MetaDetailPage for the Component assets. - **RunView/** - Contains the displays which dictate what parameters the user must fill out when attempting to run any of the assets - **Sidebar/** - **Tooltip/** - - There are other components other than those which make up their own folder. Some of the important ones are listed below. - Hero - The “Hero Bar” is the bar at the top of the page with mostly navigational items. - MarkdownViewer - A display which shows the contents of a markdown file @@ -103,15 +43,14 @@ The folders which contain the pieces of the MLX UI: - SecretMenu - The menu which is only available for admins that provides admin’s with extra functionality - **icons/** -Icons are typically an .svg wrapped in a react component. +Icons are typically an `.svg` wrapped in a React component. - **images/** -.png files used in UI +`.png` files used in UI -- **lib/** -lib/ is divided into two folders api/ and stores/ -api/ - Contains all the functions which calls to the MLX API. -stores/ - Contains all the functions which add to and view the MLX UI data store  +- **lib/** `lib/` is divided into two folders `api/` and `stores/` + - `api/` - Contains all the functions which calls to the MLX API + - `stores/` - Contains all the functions which add to and view the MLX UI data store - **mock/** Some mock assets for each asset type (no longer in use). @@ -124,12 +63,12 @@ Most (>90%) of styling is contained in css files in styles/ ## Developing for the MLX UI +### MLX UI Starting Points -MLX UI Starting Points -src/App.tsx controls all the routing inside the react application. If a new route needs to be added it will be added here. If it is not clear what file represents the page at a given url, trace the routes in App.tsx to find the route associated with that url and that route will show the component that is being used. - +- `src/App.tsx`: controls all the routing inside the react application. If a new route needs to be added it will be added here. If it is not clear what file represents the page at a given url, trace the routes in App.tsx to find the route associated with that url and that route will show the component that is being used. -src/styles/ contains most (>90%) of the page styling in css. If the style needs to be changed first check the component file for styling and if the css is not inline then check in src/styles/. +- `src/styles/`: contains most (>90%) of the page styling in css. If the style needs to be changed first check the component file for styling and if the css is not inline then check in src/styles/. +- `src/lib/api/`: contains all the calls to the MLX API. If some API call is going wrong, it will likely be an issue in this folder. -src/lib/api/ contains all of the calls to the MLX API. If some API call is going wrong, it will likely be an issue in this folder. +For more information on UI Setup and Deployment go [here](README.md) diff --git a/dashboard/origin-mlx/mlx-ui.yaml b/dashboard/origin-mlx/mlx-ui.yaml index 121d443d..350a656b 100644 --- a/dashboard/origin-mlx/mlx-ui.yaml +++ b/dashboard/origin-mlx/mlx-ui.yaml @@ -1,5 +1,5 @@ # Copyright 2021 The MLX Contributors -# +# # SPDX-License-Identifier: Apache-2.0 apiVersion: v1 kind: ServiceAccount @@ -28,11 +28,11 @@ spec: containers: - name: mlx-ui # You can use your own webapp image below - image: aipipeline/mlx-ui:nightly-origin-master + image: mlexchange/mlx-ui:nightly-origin-main imagePullPolicy: Always env: - name: REACT_APP_BRAND - value: MLX + value: "Machine Learning eXchange" - name: REACT_APP_RUN value: "true" - name: REACT_APP_UPLOAD From 3fc03381243470e21192c3b36846d285719c531e Mon Sep 17 00:00:00 2001 From: Ezinne Anne Emilia Date: Thu, 5 May 2022 22:50:42 +0100 Subject: [PATCH 13/21] Correct description for make update_doc_table (#329) Signed-off-by: ezinneanne --- Makefile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Makefile b/Makefile index 804bdded..6fe70ed3 100644 --- a/Makefile +++ b/Makefile @@ -27,7 +27,7 @@ check_doc_links: ## Check markdown files for invalid links @echo "$@: OK" .PHONY: update_doc_table -update_doc_table: ## Check markdown files for invalid links +update_doc_table: ## Regenerate the /docs/README.md file @python3 tools/python/update_doc_table.py @echo "$@: OK" From 7fee8733f3402d707c5fd7e1ec3901ef050e2c1d Mon Sep 17 00:00:00 2001 From: Kiran Patel <104844270+kiranp2396@users.noreply.github.com> Date: Wed, 25 May 2022 13:42:27 -0500 Subject: [PATCH 14/21] Update Kubernetes high version in deployment docs (#318) (#332) * Add Troubleshooting section * Limit K8s version for KIND cluster using `--image` flag Resolves #318 Signed-off-by: Kiran-Patel Signed-off-by: Kiran Patel 104844270+kiranp2396@users.noreply.github.com Signed-off-by: Christian Kadner Co-authored-by: Kiran-Patel Co-authored-by: Christian Kadner --- docs/install-mlx-on-kind.md | 8 ++++---- docs/mlx-setup.md | 28 ++++++++++++++++++++++++++-- 2 files changed, 30 insertions(+), 6 deletions(-) diff --git a/docs/install-mlx-on-kind.md b/docs/install-mlx-on-kind.md index 6ebcf7e7..dbd1d23a 100644 --- a/docs/install-mlx-on-kind.md +++ b/docs/install-mlx-on-kind.md @@ -40,9 +40,9 @@ you could download the `kustomize` `v3.2.0` binary as described Increase the default resources for Docker: -- CPUs: 8 Cores -- Memory: 16 GB RAM -- Disk: 32+ GB +- **CPUs**: 8 Cores +- **Memory**: 16 GB RAM +- **Disk**: 32+ GB **Note**: We found that on older laptops, like a 2016 MacBook Pro (2.7 GHz i7, 16 GB RAM) the MLX deployment on KIND may require to give all available resources to the Docker daemon in order to be @@ -54,7 +54,7 @@ other application to crash. ## Create KIND Cluster ```Bash -kind create cluster --name mlx +kind create cluster --name mlx --image kindest/node:v1.21.12 kubectl cluster-info --context kind-mlx kubectl get pods --all-namespaces ``` diff --git a/docs/mlx-setup.md b/docs/mlx-setup.md index 3ab65cde..501972e1 100644 --- a/docs/mlx-setup.md +++ b/docs/mlx-setup.md @@ -1,8 +1,13 @@ # Deploy MLX on an existing Kubernetes cluster ## Prerequisites -* An existing Kubernetes cluster. Version 1.17+ -* The minimum recommended capacity requirement for MLX is 8 vCPUs and 16GB RAM +* An existing Kubernetes cluster: + - **Min version: 1.17** + - **Max version: 1.21** +* The recommended minimum capacity requirement for MLX are: + - **CPUs**: 8 Cores + - **Memory**: 16 GB RAM + - **Disk**: 32+ GB * If you are using IBM Cloud, follow the appropriate instructions for standing up your Kubernetes cluster using the [IBM Cloud Kubernetes Service](https://cloud.ibm.com/docs/containers?topic=containers-cs_cluster_tutorial#cs_cluster_tutorial) * If you are using OpenShift on IBM Cloud, please follow the instructions for standing up your [IBM Cloud Red Hat OpenShift cluster](https://cloud.ibm.com/docs/openshift?topic=openshift-openshift_tutorial) * [`kustomize v3.2.0`](https://github.com/kubernetes-sigs/kustomize/releases/tag/v3.2.0) is installed @@ -48,3 +53,22 @@ To delete this MLX deployment, run the following commands in the same manifests ``` kustomize build example | kubectl delete -f - ``` + +## Troubleshooting + +- If you see errors like these during the deployment, it may be because of a unsupported Kubernetes version. + Check the [Prerequisites](#prerequisites) for the supported Kubernetes versions. + + ``` + # while ! kustomize build example | kubectl apply -f -; do echo "Retrying to apply resources"; sleep 10; done + ... + unable to recognize "STDIN": no matches for kind "CustomResourceDefinition" in version "apiextensions.k8s.io/v1beta1" + unable to recognize "STDIN": no matches for kind "RoleBinding" in version "rbac.authorization.k8s.io/v1beta1" + unable to recognize "STDIN": no matches for kind "ClusterRoleBinding" in version "rbac.authorization.k8s.io/v1beta1" + unable to recognize "STDIN": no matches for kind "EnvoyFilter" in version "networking.istio.io/v1alpha3" + ... + ``` + To find your Kubernetes server version, run `kubectl version | grep Server`: + ``` + Server Version: version.Info{Major:"1", Minor:"21", GitVersion:"v1.21.12", ... + ``` From 5f41510e22769f309dc0538ea0e7a3729d3f2168 Mon Sep 17 00:00:00 2001 From: jbusche <101845348+jbusche@users.noreply.github.com> Date: Mon, 13 Jun 2022 12:07:05 -0700 Subject: [PATCH 15/21] fix errors in mlx-ui startup (#338) --- dashboard/origin-mlx/Dockerfile | 2 +- dashboard/origin-mlx/src/components/Detail/DatasetDetail.tsx | 1 - .../origin-mlx/src/components/Detail/KFServingDetail.tsx | 4 ++-- 3 files changed, 3 insertions(+), 4 deletions(-) diff --git a/dashboard/origin-mlx/Dockerfile b/dashboard/origin-mlx/Dockerfile index d856c4d4..60d4fcd0 100644 --- a/dashboard/origin-mlx/Dockerfile +++ b/dashboard/origin-mlx/Dockerfile @@ -19,4 +19,4 @@ RUN cd server && npm install && npm run build # start app ENV NODE_ENV=production -CMD ["sh", "-c", "npm run build && mv build/ proc/ && node server/dist/server.js proc/ $PORT"] +CMD ["sh", "-c", "npm run build && node server/dist/server.js build/ $PORT"] diff --git a/dashboard/origin-mlx/src/components/Detail/DatasetDetail.tsx b/dashboard/origin-mlx/src/components/Detail/DatasetDetail.tsx index 4894bedc..4c8553a3 100644 --- a/dashboard/origin-mlx/src/components/Detail/DatasetDetail.tsx +++ b/dashboard/origin-mlx/src/components/Detail/DatasetDetail.tsx @@ -14,7 +14,6 @@ import { getUserInfo, hasRole } from '../../lib/util'; import RunView from '../RunView' import RelatedAssetView from '../RelatedAssetView'; import MarkdownViewer from '../MarkdownViewer'; -import LoadingMessage from '../LoadingMessage'; import MetadataView from '../MetadataView'; const isAdmin = hasRole(getUserInfo(), 'admin'); diff --git a/dashboard/origin-mlx/src/components/Detail/KFServingDetail.tsx b/dashboard/origin-mlx/src/components/Detail/KFServingDetail.tsx index 106298fb..0a82fcd4 100644 --- a/dashboard/origin-mlx/src/components/Detail/KFServingDetail.tsx +++ b/dashboard/origin-mlx/src/components/Detail/KFServingDetail.tsx @@ -191,7 +191,7 @@ export default class KFServingDetail extends React.Component : } @@ -414,4 +414,4 @@ export default class KFServingDetail extends React.Component ) } -} \ No newline at end of file +} From d78055e7f478b7760d407ec22f0ad64033571e7f Mon Sep 17 00:00:00 2001 From: Christian Kadner Date: Tue, 14 Jun 2022 18:52:05 -0700 Subject: [PATCH 16/21] Run mlx-ui as non-root user (#339) Closes #337 Signed-off-by: Christian Kadner --- dashboard/origin-mlx/Dockerfile | 20 +- dashboard/origin-mlx/README.md | 2 +- dashboard/origin-mlx/package-lock.json | 5453 +++++++++-------- dashboard/origin-mlx/server/package-lock.json | 3544 +++++++++-- 4 files changed, 5859 insertions(+), 3160 deletions(-) diff --git a/dashboard/origin-mlx/Dockerfile b/dashboard/origin-mlx/Dockerfile index 60d4fcd0..4aa46f7e 100644 --- a/dashboard/origin-mlx/Dockerfile +++ b/dashboard/origin-mlx/Dockerfile @@ -1,5 +1,5 @@ # base image -FROM node:14-slim +FROM node:16-slim # create app directory RUN mkdir -p /workspace @@ -12,11 +12,27 @@ ENV PORT=3000 # install and cache app dependencies COPY . /workspace + RUN npm install --silent --only=prod # install and build UI backend RUN cd server && npm install && npm run build -# start app +# make sure non-root user can modify workspace folder +#RUN chgrp -R 0 /workspace && chmod -R g=u /workspace +RUN chown -R node /workspace + +# change user +USER node + +# mark as production build ENV NODE_ENV=production + +# run build on container startup in order to build in environment variables +# - https://create-react-app.dev/docs/adding-custom-environment-variables/ +# TODO: find a better solution, i.e. +# - https://www.tutorialworks.com/openshift-deploy-react-app/ +# - https://javaadpatel.com/building-and-deploying-react-containers/ CMD ["sh", "-c", "npm run build && node server/dist/server.js build/ $PORT"] + + diff --git a/dashboard/origin-mlx/README.md b/dashboard/origin-mlx/README.md index 450a316a..109ba8e8 100644 --- a/dashboard/origin-mlx/README.md +++ b/dashboard/origin-mlx/README.md @@ -56,7 +56,7 @@ http://localhost:3000/settings ```Bash cd dashboard/origin-mlx -docker build -t /: -f Dockerfile . +docker build -t /mlx-ui: -f Dockerfile . docker push /: ``` diff --git a/dashboard/origin-mlx/package-lock.json b/dashboard/origin-mlx/package-lock.json index c31cfcfc..2938d5e4 100644 --- a/dashboard/origin-mlx/package-lock.json +++ b/dashboard/origin-mlx/package-lock.json @@ -49,11 +49,24 @@ } }, "node_modules/@ampproject/remapping": { - "version": "2.1.2", - "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.1.2.tgz", - 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"sha1-IpnwLG3tMNSllhsLn3RSShj2NPw=" + "integrity": "sha512-BNGbWLfd0eUPabhkXUVm0j8uuvREyTh5ovRa/dyow/BqAbZJyC+5fU+IzQOzmAKzYqYRAISoRhdQr3eIZ/PXqg==" }, "write-file-atomic": { "version": "3.0.3", From 6680f5515ef0e2f8f183b791532c93dd390c7993 Mon Sep 17 00:00:00 2001 From: Christian Kadner Date: Thu, 23 Jun 2022 18:00:28 -0700 Subject: [PATCH 17/21] Update MLX setup instructions for KF 1.5 (#346) * Update MLX setup instructions for KF 1.5 Signed-off-by: Christian Kadner --- docs/install-mlx-on-kind.md | 5 ++-- docs/mlx-setup.md | 47 ++++++++++++++++++++++++++++--------- docs/mlx-workshop.md | 3 ++- 3 files changed, 41 insertions(+), 14 deletions(-) diff --git a/docs/install-mlx-on-kind.md b/docs/install-mlx-on-kind.md index dbd1d23a..cb8c8308 100644 --- a/docs/install-mlx-on-kind.md +++ b/docs/install-mlx-on-kind.md @@ -63,7 +63,7 @@ kubectl get pods --all-namespaces ## Deploy MLX (Single-User) ```Bash -git clone https://github.com/IBM/manifests -b v1.4.0-mlx +git clone https://github.com/IBM/manifests -b v1.5-branch cd manifests # run the below command two times if the CRDs take too long to provision @@ -80,7 +80,8 @@ done kubectl get pods --all-namespaces # make the MLX UI available to your local browser on http://localhost:3000/ -kubectl port-forward -n istio-system svc/istio-ingressgateway 3000:80 & +kubectl wait -n kubeflow --for=condition=ready pod -l service=mlx-ui && \ + kubectl port-forward -n istio-system svc/istio-ingressgateway 3000:80 & ``` Now paste the URL http://localhost:3000/login into your browser and proceed to diff --git a/docs/mlx-setup.md b/docs/mlx-setup.md index 501972e1..f3029872 100644 --- a/docs/mlx-setup.md +++ b/docs/mlx-setup.md @@ -1,8 +1,9 @@ # Deploy MLX on an existing Kubernetes cluster ## Prerequisites + * An existing Kubernetes cluster: - - **Min version: 1.17** + - **Min version: 1.21** - **Max version: 1.21** * The recommended minimum capacity requirement for MLX are: - **CPUs**: 8 Cores @@ -19,9 +20,9 @@ mv kustomize /usr/local/bin ``` -## Deploy +## Deployment -To deploy the MLX single-user mode on an existing Kubernetes Cluster, clone the MLX manifests and deploy it with Kustomize. +To deploy the MLX **single-user** mode on an existing Kubernetes Cluster, clone the MLX manifests and deploy it with Kustomize. This MLX deployment includes: - [Istio](https://istio.io/) @@ -30,11 +31,33 @@ This MLX deployment includes: - [Datashim](https://datashim-io.github.io/datashim/) to provide access to S3 and NFS Datasets within pods - MLX API and UI +**Note:** Before deploying MLX on OpenShift on Fyre, you need to install a persistent +storage provider like [Portworx](https://docs.portworx.com/install-portworx/openshift/) +and set it as the `default` storage class. This is only required to support mounting +Persistent Volumes for Datasets using Datashim. + +To deploy MLX on your Kubernetes or OpenShift cluster, first set the `MLX_DEPLOYMENT_TYPE` +environment variable based on your Kubernetes service provider by uncommenting +one of the `export` commands below: + +```Shell +# export MLX_DEPLOYMENT_TYPE=mlx-single-ibmcloud # IBM Cloud - Kubernetes +# export MLX_DEPLOYMENT_TYPE=mlx-single-ibmcloud-openshift # IBM Cloud - OpenShift +# export MLX_DEPLOYMENT_TYPE=mlx-single-fyre-openshift # IBM Fyre - OpenShift + +echo "MLX deployment type: ${MLX_DEPLOYMENT_TYPE:-"UNDEFINED"}" +``` + +Then clone the [IBM/manifest](https://github.com/IBM/manifests/tree/v1.5-branch) +repository and apply the manifests to your cluster: + ```shell -git clone https://github.com/machine-learning-exchange/manifests -b mlx-single-user -cd manifests -# run the below command two times if the CRDs take too long to provision. -while ! kustomize build example | kubectl apply -f -; do echo "Retrying to apply resources"; sleep 10; done +# clone the manifest repo +git clone https://github.com/IBM/manifests -b v1.5-branch && cd manifests + +# run the following command twice if the CRDs take too long to provision +while ! kustomize build ${MLX_DEPLOYMENT_TYPE} | \ + kubectl apply -f -; do echo "Retrying to apply resources"; sleep 10; done ``` Then access the MLX web page on http://:30380/mlx/ @@ -44,14 +67,16 @@ This MLX deployment doesn't include or support: - Multi-user mode - Istio mutual TLS -To get these features, please install the additional plugins by following the instructions for [MLX deployment an existing Kubeflow cluster](/docs/install-mlx-on-kubeflow.md#deploy-mlx-on-an-existing-kubeflow-cluster). +To get those features, please install the additional plugins by following the instructions for +[MLX deployment an existing Kubeflow cluster](/docs/install-mlx-on-kubeflow.md#deploy-mlx-on-an-existing-kubeflow-cluster). -## Delete the MLX deployment + +## Deleting the MLX Deployment To delete this MLX deployment, run the following commands in the same manifests folder. -``` -kustomize build example | kubectl delete -f - +```Shell +kustomize build ${MLX_DEPLOYMENT_TYPE} | kubectl delete -f - ``` ## Troubleshooting diff --git a/docs/mlx-workshop.md b/docs/mlx-workshop.md index 3cb588e1..2f8cf7af 100644 --- a/docs/mlx-workshop.md +++ b/docs/mlx-workshop.md @@ -202,7 +202,8 @@ For MLX on KIND we need to make the port available on localhost by running the following command: ```Bash -kubectl port-forward svc/codenet-language-classification 5000:5000 +kubectl wait --for=condition=ready pod -l app=codenet-language-classification && \ + kubectl port-forward svc/codenet-language-classification 5000:5000 ``` Now we should be able to access the UI page for the deployed model by pasting From 5baeef883948fb3f20e9bd5bdce1cc2b525aba51 Mon Sep 17 00:00:00 2001 From: Joanna Date: Fri, 24 Jun 2022 18:23:53 -0400 Subject: [PATCH 18/21] fix selected assets show up in different menus (#342) Signed-off-by: Jiaxuan-Yang --- dashboard/origin-mlx/src/pages/MetaAllPage.tsx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dashboard/origin-mlx/src/pages/MetaAllPage.tsx b/dashboard/origin-mlx/src/pages/MetaAllPage.tsx index 4dfe54ba..4dba995d 100644 --- a/dashboard/origin-mlx/src/pages/MetaAllPage.tsx +++ b/dashboard/origin-mlx/src/pages/MetaAllPage.tsx @@ -188,7 +188,7 @@ function MetaAllPage(props: MetaAllPageProps) { {}} /> From 5cdaf07ab65e11aaa06b36fc507d8e59bf5afc48 Mon Sep 17 00:00:00 2001 From: Rafael Vasquez Date: Mon, 3 Oct 2022 19:03:17 -0400 Subject: [PATCH 19/21] Consolidate readme (#356) Signed-off-by: Rafael Vasquez Signed-off-by: Rafael Vasquez Co-authored-by: Rafael Vasquez --- README.md | 18 +++++------------- 1 file changed, 5 insertions(+), 13 deletions(-) diff --git a/README.md b/README.md index 02b1c9e2..0c464805 100644 --- a/README.md +++ b/README.md @@ -49,37 +49,29 @@ For a full deployment, we use [Kubeflow Kfctl](https://github.com/kubeflow/kfctl * #### [MLX on an existing Kubeflow Cluster](./docs/install-mlx-on-kubeflow.md) -## 2. Access the MLX UI +## 2. Access the MLX UI and import Assets to the Catalog By default, the MLX UI is available at http://:30380/mlx/ -If you deployed on a **Kubernetes** cluster, run the following and look for the External-IP column to find the public IP of a node. +If you deployed on a **Kubernetes** cluster or using **OpenShift**, run the following and look for the External-IP column to find the public IP of a node. ```bash kubectl get node -o wide ``` -If you deployed using **OpenShift**, you can use IstioIngresGateway Route. You can find it in the OpenShift Console or using the CLI. - -```bash -oc get route -n istio-system -``` - -## 3. Import Data and AI Assets in MLX Catalog - For information on how to import data and AI assets using MLX's catalog importer, use this [guide](/docs/import-assets.md). -## 4. Use MLX +## 3. Use MLX For information on how to use MLX and create assets check out this [guide](/docs/usage-steps.md). -## 5. How to Contribute +## 4. How to Contribute For information about adding new features, bug fixing, communication or UI and API setup, refer to this [document](CONTRIBUTING.md). -## 6. Troubleshooting +## 5. Troubleshooting [MLX Troubleshooting Instructions](/docs/troubleshooting.md) From 5e9958f0a5dd6c78f04f4b0721ac25b48b10f9b3 Mon Sep 17 00:00:00 2001 From: Christian Kadner Date: Mon, 3 Oct 2022 16:31:12 -0700 Subject: [PATCH 20/21] Document MLX Models Workshop (#352) Signed-off-by: Christian Kadner --- .../models-workshop/create-OCP-route.png | Bin 0 -> 298526 bytes .../images/models-workshop/register-model.png | Bin 0 -> 879241 bytes .../models-workshop/upload-model-yaml.png | Bin 0 -> 1094985 bytes .../models-workshop/view-all-models.png | Bin 0 -> 667180 bytes docs/mlx-models-workshop.md | 276 ++++++++++++++++++ models/README.md | 36 ++- models/template.yaml | 2 + tools/bash/mdtoc.sh | 30 ++ 8 files changed, 335 insertions(+), 9 deletions(-) create mode 100644 docs/images/models-workshop/create-OCP-route.png create mode 100644 docs/images/models-workshop/register-model.png create mode 100644 docs/images/models-workshop/upload-model-yaml.png create mode 100644 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the Model Metadata (YAML)](#create-the-model-metadata-yaml) + - [Create a Model README (Optional)](#create-a-model-readme-optional) + - [Register Model in MLX Catalog](#register-model-in-mlx-catalog) + - [Publish and Feature the Model](#publish-and-feature-the-model) + - [Delete a Model](#delete-a-model) + - [Create `catalog_upload.json` to Upload Multiple Models at Once](#create-catalog_uploadjson-to-upload-multiple-models-at-once) +- [Serve the Model](#serve-the-model) + - [Launch Model Deployment Pipeline](#launch-model-deployment-pipeline) + - [Create Route or Port Forward For Inferencing](#create-route-or-port-forward-for-inferencing) + - [Test the Model](#test-the-model) + - [Conclusion](#conclusion) + + + + +# Prerequisites + +For this workshop you will need access to a Kubernetes cluster with MLX deployed, +or a local deployment of MLX on KIND (Kubernetes in Docker). The Quickstart with +Docker Compose allows uploading and deleting models, but it does not support +serving models using Kubeflow Pipelines. + +- [Deploy MLX on a Kubernetes cluster](mlx-setup.md) +- [Deploy MLX locally on KIND](install-mlx-on-kind.md) + +There are only minor differences in how to navigate the Kubernetes resources +depending on the selected deployment option, with the most notable difference +being the host and port of the MLX (UI) server. + +You do need to be logged in as an `admin` user in order to register and deploy +models. + + +# Add a New Model to MLX + +## Containerize the Model + +Most of the sample models in the MLX catalog are from IBM Model Asset Exchange (MAX) which +was sunset early 2022. The model files are hosted on IBM Cloud Object Storage. +The code to deploy the model as a web service in a Docker container can be found in their +respective [Github repositories](https://github.com/orgs/IBM/repositories?q=%22MAX-%22&type=all&language=&sort=name) +i.e. [CodeNet-Language-Classification](https://github.com/CODAIT/MAX-CodeNet-Language-Classification) +A detailed guide on how to create a Flask app to wrap the model along with a Swagger +API user interface can be found in this +[step-by-step guide](https://github.com/IBM/MAX-skeleton#step-by-step-guide-to-wrapping-a-model) + +Once the model is containerized, it has to be pushed to a public container registry +like [Quay.io](https://quay.io/) or [DockerHub](https://hub.docker.com/) so it can be +referenced using the `container_image_url` field in the model YAML in the next step. + +## Create the Model Metadata (YAML) + +The model metadata has required fields to display the model in the MLX UI as well as optional fields which determine what +can be done with the model, i.e. + +```YAML +name: "CodeNet Language Classifier" +model_identifier: "codenet-language-classification" +description: "A convolutional deep neural network to classify snippets of code" +framework: + name: "TensorFlow" + version: "2.5" + +license: "Apache 2.0" +domain: "Code Classification" +website: "https://github.com/CODAIT/MAX-CodeNet-Language-Classification" + +serve: + servable: true + tested_platforms: + - kubernetes + - kfserving + serving_container_image: + container_image_url: "codait/codenet-language-classifier" + +readme_url: "https://raw.githubusercontent.com/machine-learning-exchange/katalog/main/model-samples/codenet-language-classification/codenet-language-classification.md" +``` + +A detailed description of how to create model metadata (YAML) for either training or serving +can be found here [models/README.md](/models/README.md#create-model-metadata) + +## Create a Model README (Optional) + +Each model can have a Github-flavored markdown (`.md`) file which will be rendered +in the MLX UI. If no `readme_url` is specified in the model's YAML file, a general +overview is created from the contents of the YAML file. Examples can be found in +the [MLX Katalog repo](https://github.com/machine-learning-exchange/katalog/tree/main/model-samples) +i.e. the [Codenet README](https://github.com/machine-learning-exchange/katalog/blob/main/model-samples/codenet-language-classification/codenet-language-classification.md) + +## Register Model in MLX Catalog + +The model metadata YAML file can be uploaded from a local file or by providing a +raw url to a README.md file in a Github repository. + +![register model](images/models-workshop/register-model.png) + +1. Click on the "Models" link in left-hand navigation panel +2. Click on "Register a Model" +3. Click on the "Browse" button to select a YAML file or provide a URL to download the YAML file + * `.tar.gz` and `.tgz` files containing the compressed + `.yaml` specification can also be uploaded +4. Enter a name for the model; Otherwise the name from the YAML file will be used + +![upload model YAML](images/models-workshop/upload-model-yaml.png) + +More details can be found [here](/models/README.md#register-a-model) + + +## Publish and Feature the Model + +When a new model is uploaded, it is automatically "featured" on the main Models +page. In order to remove (or add models back) to the featured page, click on the +**View all Models** button and select/unselect the respective check boxes. + +![VIEW ALL MODELS](images/models-workshop/view-all-models.png) + +## Delete a Model + +The **View all Models** page can also be used to remove models from the MLX catalog. + +## Create `catalog_upload.json` to Upload Multiple Models at Once + +MLX supports uploading multiple catalog assets at once ("bulk"-upload) as described +in this [guide](/docs/import-assets.md). + +![Catalog Import Screenshot](/docs/images/CatalogImport.png) + +Take a look at the `catalog_upload.json` file under [MLX Bootstrapper](/bootstrapper/catalog_upload.json) + +```JSON +{ + "models": [ + { + "name": "CodeNet Language Classification", + "url": "https://raw.githubusercontent.com/machine-learning-exchange/katalog/main/model-samples/codenet-language-classification/codenet-language-classification.yaml" + }, + { + "name": "Human Pose Estimator", + "url": "https://raw.githubusercontent.com/machine-learning-exchange/katalog/main/model-samples/max-human-pose-estimator/max-human-pose-estimator.yaml" + }, + { + "name": "Image Caption Generator", + "url": "https://raw.githubusercontent.com/machine-learning-exchange/katalog/main/model-samples/max-image-caption-generator/max-image-caption-generator.yaml" + } + ] +} +``` + + +# Serve the Model + +Models can easily be trained or served using Kubeflow Pipelines depending on the +`train` or `serve` metadata specified in the YAML file. + +More details can be found [here](/models/README.md#serve-the-model) and in this +[MLX Workshop](mlx-workshop.md#serve-the-model) using the Codenet Language +Classification model as an example. + + +## Launch Model Deployment Pipeline + +Models that have the `serve` specification can be deployed directly from the MLX UI: + +1. Under the models tab, select a model +2. Switch to the "LAUNCH" tab +3. Optionally, give the pipeline run a name +4. Click submit to run the pipeline which will deploy the model + +We have created a containerized version of the **CodeNet Language Classification** +model that can be deployed on Kubernetes to allow inferencing via `curl`, or, +directly from a web browser using a simple Swagger UI to the inferencing service. + +![Models Featured Page](./images/workshop/Models-featured-page.png) + +Click on the **Models** menu item and select the **CodeNet Language Classification** +model. + +* The **DESCRIPTION** tab shows the details of the model with links to the original + dataset +* The **LAUNCH** tab allows users to (train or) serve the model on Kubernetes +* The **YAML DEFINITION** tab shows the metadata required by MLX +* The **SAMPLE SERVING CODE** tab displays a generated sample pipeline to serve + the model + +![Models Launch Tab](./images/workshop/Models-launch.png) + +Click on the **LAUNCH** tab to start the pipeline run to serve the model +* The **Launch Type** is `Serving` +* The **Platform** is `Kubernetes` +* Enter a **Run Name** or leave the default +* Click **SUBMIT** to start the pipeline run + +![Models Run Output](./images/workshop/Models-run-output.png) + +Now the Kubeflow Pipeline run view should appear, and get updated as the pipeline +execution progresses. You can click on the task in the pipeline graph and follow +the **Logs**. Once the second step of the pipeline is completed, you can find the +name of the deployed model "`codenet-language-classification`". + + +## Create Route or Port Forward For Inferencing + +Once a model has been deployed for inferencing, it has to be made available via +a local port forwarding or a OpenShift Route. + +![Create Model Route](images/models-workshop/create-OCP-route.png) + +For MLX on KIND we need to make the port available on localhost by running the +following command: + +```Bash +kubectl wait --for=condition=ready pod -l app=codenet-language-classification && \ + kubectl port-forward svc/codenet-language-classification 5000:5000 +``` + +Now we should be able to access the UI page for the deployed model by pasting +`localhost:5000` into our browser's address bar: + +``` +http://localhost:5000/ +``` + + +## Test the Model + +Expand the first section called **model** and click on **POST /model/predict** +and the click on the **Try it out** button on the very right of the **Parameters** +line. + +![Models Swagger UI](./images/workshop/Models-Swagger-UI.png) + +In order to test the classification model, we need to provide a source code file +in any of the 10 supported languages like C/C++, Java, JavaScript or Python. +You could either use a source file from one of your local projects or download +the [CodeNet Sample Dataset for Language Classification](https://dax-cdn.cdn.appdomain.cloud/dax-project-codenet/1.0.0/Project_CodeNet_LangClass.tar.gz) +and extract it to a local folder. + +On the model prediction input dialog, click **Browse** and select a source +file + +![Open Source File](./images/workshop/Models-predict-open-source-file.png) + +Now click **Execute** to get the model's prediction. + +The Response should look similar to this: + +**Response body** + + { + "status": "ok", + "predictions": [ + { + "language": "Haskell", + "probability": 0.9999926090240479 + } + ] + } + + +## Conclusion + +In this workshop we demonstrated how to use MLX to register a model to the MLX +catalog and how MLX can be used to deploy pretrained containerized models on +Kubernetes. + +For comments, suggestions or bug reports, please do to +https://github.com/machine-learning-exchange/mlx/issues diff --git a/models/README.md b/models/README.md index 3cb320a8..2dd048f2 100644 --- a/models/README.md +++ b/models/README.md @@ -1,6 +1,18 @@ # Models -MLX supports the use of pre-trained models. +MLX supports training models and serving of pre-trained models. + +## Table of Contents + + + +- [Create Model Metadata](#create-model-metadata) + - [Metadata template for a trainable model](#metadata-template-for-a-trainable-model) + - [Metadata template for a servable model](#metadata-template-for-a-servable-model) +- [Register a Model](#register-a-model) +- [Serve the Model](#serve-the-model) + + ## Create Model Metadata @@ -35,6 +47,7 @@ framework: license: "Apache 2.0" domain: "Domain Area" website: # Can be GitHub link +readme_url: # Github-flavored markdown, Github raw URL, will be displayed in MLX UI train: trainable: true @@ -87,6 +100,7 @@ framework: license: "Apache 2.0" domain: "Domain Area" website: # Can be GitHub link +readme_url: # Github-flavored markdown, Github raw URL, will be displayed in MLX UI serve: servable: true @@ -97,16 +111,20 @@ serve: container_image_url: ``` -## Register Model +## Register a Model + 1. Click on the "Models" link in left-hand navigation panel -2. Click on "Upload a Model" -3. Select a file to upload (Must be `.tar.gz` or `.tgz` format) - * This will be the compressed `.yaml` specification -4. Enter a name for the model; Otherwise a default will be given +2. Click on "Register a Model" +3. Select a YAML file to be uploaded or provide a URL to download the YAML file + * `.tar.gz` and `.tgz` files containing the compressed + `.yaml` specification can also be uploaded +4. Enter a name for the model; Otherwise the name from the YAML file will be used + +## Serve the Model -## Use Models in Pipelines Models can easily be executed based on the metadata specified in the YAML file for a particular function 1. Under the models tab, select a model -2. Switch to the "CREATE RUN" section -3. Give the name a run and click submit to serve the model +2. Switch to the "LAUNCH" tab +3. Optionally, provide a run name +4. Click submit to run the pipeline which will deploy the model diff --git a/models/template.yaml b/models/template.yaml index 1b9ce25d..0331be6e 100644 --- a/models/template.yaml +++ b/models/template.yaml @@ -33,6 +33,7 @@ framework: # license: (Optional) License for this model. # domain: (Optional) Domain metadata for this model. # website: (Optional) Links that explain this model in more details +# readme_url: (Optional) A Github-flavored markdown file to be rendered in the MLX UI license: "Apache 2.0" domain: "Facial Recognition" @@ -40,6 +41,7 @@ website: "https://developer.ibm.com/exchanges/models/all/max-facial-age-estimato labels: - url: - pipeline_uuids: ["abcd1234"] +readme_url: "https://raw.githubusercontent.com/IBM/MAX-Facial-Age-Estimator/master/README.md" # train: (optional) # trainable: (optional) Indicate the model is trainable. Default: False diff --git a/tools/bash/mdtoc.sh b/tools/bash/mdtoc.sh new file mode 100755 index 00000000..670c0104 --- /dev/null +++ b/tools/bash/mdtoc.sh @@ -0,0 +1,30 @@ +#!/bin/bash + +# Copyright 2022 The MLX Contributors +# +# SPDX-License-Identifier: Apache-2.0 + + +# This script will generate a table of contents (ToC) for Markdown (MD) files. +# +# 1. Remove the paragraphs (headings) above the "Table of Contents" +# 2. Remove code blocks fenced by tripple back-ticks, to not treat #-comments as markdown headings +# 3. Find the paragraph headings with grep (1st through 4th level heading starting with "#" and "####") +# 4. Extract the heading's text with sed and transform into '|'-separated records of the form '###|Full Text|Full Text' +# 5. Generate the ToC lines with awk by replacing '#' with ' ', converting spaces to dashes '-', +# removing special chars (like back-ticks, dot, parenthesis, colon, comma) from TOC anchor links, +# and lower-case all capital letters +# 6. Remove leading 2 spaces in case ToC does not include 1st level headings, otherwise the TOC becomes a code block +# +# Inspired by https://medium.com/@acrodriguez/one-liner-to-generate-a-markdown-toc-f5292112fd14 + +SEP="|" + +[ -z "${1}" ] && echo -e "Usage:\n\n $BASH_SOURCE \n" && exit 1 + +sed -n '/Table of Contents/,$p' "${1}" | tail -n +2 | \ +sed '/^```/,/^```/d' | \ +grep -E "^#{1,4}" | \ +sed -E "s/(#+) (.+)/\1${SEP}\2${SEP}\2/g" | \ +awk -F "${SEP}" '{ gsub(/#/," ",$1); gsub(/[ ]/,"-",$3); gsub(/[`.():,&]/,"",$3); print $1 "- [" $2 "](#" tolower($3) ")" }' | \ +sed -e 's/^ //g' From dc48b0fa42bf023034f235eb9d296b5a95954c94 Mon Sep 17 00:00:00 2001 From: Rafael Vasquez Date: Mon, 3 Oct 2022 20:00:33 -0400 Subject: [PATCH 21/21] Add GitHub action to verify doc links (#357) Signed-off-by: Rafael Vasquez --- .github/workflows/verify-links.yml | 38 ++++++++++++++++++++++++++++++ 1 file changed, 38 insertions(+) create mode 100644 .github/workflows/verify-links.yml diff --git a/.github/workflows/verify-links.yml b/.github/workflows/verify-links.yml new file mode 100644 index 00000000..3b034a0a --- /dev/null +++ b/.github/workflows/verify-links.yml @@ -0,0 +1,38 @@ +# Copyright 2021 The MLX Contributors +# +# SPDX-License-Identifier: Apache-2.0 + +name: Verify Links + +on: + push: + branches: + - main + + tags: + - v* + + pull_request: + +jobs: + check-links: + runs-on: ubuntu-latest + strategy: + matrix: + python-version: [3.7] + steps: + - name: Checkout + uses: actions/checkout@v2 + + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v2 + with: + python-version: ${{ matrix.python-version }} + + - name: Install dependencies + run: pip install requests + + - name: Link check + run: | + ./tools/python/verify_doc_links.py +

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