From aa529c6cfd2293f1f56453e2d62000161c08de54 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 15:27:47 +0800 Subject: [PATCH 01/49] doc(readme): add quick start for readme --- README.md | 17 +++++++++++++---- 1 file changed, 13 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index fe3dabc7..d9fdb90c 100644 --- a/README.md +++ b/README.md @@ -91,18 +91,18 @@ We provide GNES as a Docker image to simplify the installation. The Docker image #### via [Docker cloud](https://cloud.docker.com/u/gnes/repository/list) ```bash -docker pull gnes/gnes:latest -docker run gnes/gnes:latest --help +docker run gnes/gnes:latest ``` +This command downloads the latest GNES image and runs it in a container. When the container runs, it prints an informational message and exits. + #### via Tencent container service We also provide a public mirror hosted on Tencent Cloud, from which Chinese mainland users can pull the image faster. ```bash docker login --username=xxx ccr.ccs.tencentyun.com # login to Tencent Cloud so that we can pull from it -docker pull ccr.ccs.tencentyun.com/gnes/gnes:latest -docker run ccr.ccs.tencentyun.com/gnes/gnes:latest --help +docker run ccr.ccs.tencentyun.com/gnes/gnes:latest ``` > πŸ’‘ Please note that version `latest` refers to the latest master of this repository, which is [mutable and may not always be a stable](./CONTRIBUTING.md#Merging-Process). Therefore, we recommend you to use an official release by changing the `latest` to a version tag, say `v0.0.24`. @@ -143,6 +143,13 @@ pip install gnes[all] +Either way, if you see the following message after `$gnes` or `$docker run gnes/gnes`, then you are ready to go! + +

+success installation of GNES +

+ +

Quick Start

As a cloud-native application, GNES requires an **orchestration engine** to coordinate all micro-services. Currently, we support Kubernetes, Docker Swarm and a built-in solution. Click on one of the icons below to get started. @@ -169,6 +176,8 @@ As a cloud-native application, GNES requires an **orchestration engine** to coor

+ + ### Using GNES with Kubernetes TBA From 44b7db2f113969cc0eea567fc8bf0e3d68023d11 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 15:28:27 +0800 Subject: [PATCH 02/49] doc(readme): add quick start for readme --- .github/install-success.svg | 79 +++++++++++++++++++++++++++++++++++++ 1 file changed, 79 insertions(+) create mode 100644 .github/install-success.svg diff --git a/.github/install-success.svg b/.github/install-success.svg new file mode 100644 index 00000000..4412ab08 --- /dev/null +++ b/.github/install-success.svg @@ -0,0 +1,79 @@ + + + + + + + + + + + ~ ~ g ~ gn ~ gne ~ gnes ~ gnes usage: gnes [-h] [-v] [--verbose] {frontend,index,encode,route,preprocess,client_http,client_cli,compose} ...GNES v0.0.24: Generic Neural Elastic Search, a cloud-native semanticsearch system based on deep neural network. It enables large-scale index andsemantic search for text-to-text, image-to-image, video-to-video and anycontent form. Visit https://gnes.ai for tutorials anddocumentations.optional arguments: -h, --help show this help message and exit -v, --version show program's version number and exit --verbose turn on detailed logging for debugGNES sub-commands: use "gnes [sub-command] --help" to get detailed information about each sub-command {frontend,index,encode,route,preprocess,client_http,client_cli,compose} frontend start a grpc frontend service index start an indexer service encode start an encoder service route route start a router service preprocess start a preprocessor service client_http start a http service client_cli start a grpc client compose start a GNES Board and visualize YAML config~ + \ No newline at end of file From 0eb8c3f1d0b8f6b2d5569657222163c0a0664075 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 16:03:08 +0800 Subject: [PATCH 03/49] doc(readme): add quick start for readme --- README.md | 18 +++++++++++++++++- 1 file changed, 17 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index d9fdb90c..c84351c3 100644 --- a/README.md +++ b/README.md @@ -143,7 +143,7 @@ pip install gnes[all] -Either way, if you see the following message after `$gnes` or `$docker run gnes/gnes`, then you are ready to go! +Either way, if you see the following message after `$ gnes` or `$ docker run gnes/gnes`, then you are ready to go!

success installation of GNES @@ -152,6 +152,22 @@ Either way, if you see the following message after `$gnes` or `$docker run gnes/

Quick Start

+## Preliminaries + +Before we start, let me first introduce two basic concepts serving as the backbone of GNES: **microservice** and **runtime**. For machine learning engineers and data scientists who are not familiar with the concept of *cloud-native* and *microservice*, one can picture a microservice as an app (on your smartphone). Each app runs independently, and an app may cooperate with other apps to accomplish a task. In GNES, we have four fundamental apps, aka. microservices, they are: + +- **Preprocessor**: transforming a real-world object to a list of workable semantic units; +- **Encoder**: representing a semantic unit with vector representation; +- **Indexer**: storing the vectors into memory/disk that allows fast-access; +- **Router**: forwarding messages between microservices: e.g. batching, mapping, reducing. + +In GNES, we have implemented dozens of preprocessor, encoder, indexer to process different content forms, such as image, text, video. It is also super easy to plug in your own implementation, which we shall see an example in the sequel. + +Okay, now that we have a bunch of apps, what are we expecting them to do? In a typical search system, there are two fundamental tasks: **indexing** and **querying**. Indexing is storing the documents, querying is searching the documents, pretty straightforward. In a neural search system, one may also face another task: **training**, where one fine-tunes an encoder/preprocessor according to the data distribution in order to achieve better search relevance. These three tasks: indexing, querying and training are what we call three **runtimes** in GNES. + + + + As a cloud-native application, GNES requires an **orchestration engine** to coordinate all micro-services. Currently, we support Kubernetes, Docker Swarm and a built-in solution. Click on one of the icons below to get started.

From 8f61fb99e8b9166e8744d733569e261175c7f038 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 16:29:51 +0800 Subject: [PATCH 04/49] doc(readme): add quick start for readme --- README.md | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index c84351c3..3a2a1fd6 100644 --- a/README.md +++ b/README.md @@ -84,7 +84,7 @@ There are two ways to get GNES, either as a Docker image or as a PyPi package. βœ… For cloud users, we **highly recommend using GNES via Docker image**. -## Run GNES as a Docker Container +### Run GNES as a Docker Container We provide GNES as a Docker image to simplify the installation. The Docker image is built with GNES full dependencies, so you can run GNES out-of-the-box. @@ -107,7 +107,7 @@ docker run ccr.ccs.tencentyun.com/gnes/gnes:latest > πŸ’‘ Please note that version `latest` refers to the latest master of this repository, which is [mutable and may not always be a stable](./CONTRIBUTING.md#Merging-Process). Therefore, we recommend you to use an official release by changing the `latest` to a version tag, say `v0.0.24`. -## Install GNES via `pip` +### Install GNES via `pip` You can also install GNES as a Python package via: ```bash @@ -152,7 +152,7 @@ Either way, if you see the following message after `$ gnes` or `$ docker run gne

Quick Start

-## Preliminaries +### Preliminaries Before we start, let me first introduce two basic concepts serving as the backbone of GNES: **microservice** and **runtime**. For machine learning engineers and data scientists who are not familiar with the concept of *cloud-native* and *microservice*, one can picture a microservice as an app (on your smartphone). Each app runs independently, and an app may cooperate with other apps to accomplish a task. In GNES, we have four fundamental apps, aka. microservices, they are: @@ -165,6 +165,9 @@ In GNES, we have implemented dozens of preprocessor, encoder, indexer to process Okay, now that we have a bunch of apps, what are we expecting them to do? In a typical search system, there are two fundamental tasks: **indexing** and **querying**. Indexing is storing the documents, querying is searching the documents, pretty straightforward. In a neural search system, one may also face another task: **training**, where one fine-tunes an encoder/preprocessor according to the data distribution in order to achieve better search relevance. These three tasks: indexing, querying and training are what we call three **runtimes** in GNES. +πŸ’‘ The key to understand GNES is to know *which runtime requires what microservices, and each of which does what*. + +### Build your first GNES network From 92b358a494e3e9f52998627959abcd3f22b10289 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 16:31:20 +0800 Subject: [PATCH 05/49] doc(readme): add quick start for readme --- README.md | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 3a2a1fd6..e8185b26 100644 --- a/README.md +++ b/README.md @@ -154,7 +154,11 @@ Either way, if you see the following message after `$ gnes` or `$ docker run gne ### Preliminaries -Before we start, let me first introduce two basic concepts serving as the backbone of GNES: **microservice** and **runtime**. For machine learning engineers and data scientists who are not familiar with the concept of *cloud-native* and *microservice*, one can picture a microservice as an app (on your smartphone). Each app runs independently, and an app may cooperate with other apps to accomplish a task. In GNES, we have four fundamental apps, aka. microservices, they are: +Before we start, let me first introduce two basic concepts serving as the backbone of GNES: **microservice** and **runtime**. + +#### Microservice + +For machine learning engineers and data scientists who are not familiar with the concept of *cloud-native* and *microservice*, one can picture a microservice as an app (on your smartphone). Each app runs independently, and an app may cooperate with other apps to accomplish a task. In GNES, we have four fundamental apps, aka. microservices, they are: - **Preprocessor**: transforming a real-world object to a list of workable semantic units; - **Encoder**: representing a semantic unit with vector representation; @@ -163,6 +167,8 @@ Before we start, let me first introduce two basic concepts serving as the backbo In GNES, we have implemented dozens of preprocessor, encoder, indexer to process different content forms, such as image, text, video. It is also super easy to plug in your own implementation, which we shall see an example in the sequel. +#### Runtime + Okay, now that we have a bunch of apps, what are we expecting them to do? In a typical search system, there are two fundamental tasks: **indexing** and **querying**. Indexing is storing the documents, querying is searching the documents, pretty straightforward. In a neural search system, one may also face another task: **training**, where one fine-tunes an encoder/preprocessor according to the data distribution in order to achieve better search relevance. These three tasks: indexing, querying and training are what we call three **runtimes** in GNES. πŸ’‘ The key to understand GNES is to know *which runtime requires what microservices, and each of which does what*. From 4e77fd628454b90e256f2b6d5e6e0c238f1d2c80 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 16:53:38 +0800 Subject: [PATCH 06/49] doc(readme): add quick start for readme --- .github/gnes-flow-1.svg | 399 ++++++++++++++++++++++++++++++++++++++++ README.md | 28 ++- 2 files changed, 426 insertions(+), 1 deletion(-) create mode 100644 .github/gnes-flow-1.svg diff --git a/.github/gnes-flow-1.svg b/.github/gnes-flow-1.svg new file mode 100644 index 00000000..6eaf2eb7 --- /dev/null +++ b/.github/gnes-flow-1.svg @@ -0,0 +1,399 @@ +
push/pull
push/pull
push/pull
push/pull
gRPCFrontend
Preprocessor
Encoder
Indexer
\ No newline at end of file diff --git a/README.md b/README.md index e8185b26..3699c281 100644 --- a/README.md +++ b/README.md @@ -173,7 +173,33 @@ Okay, now that we have a bunch of apps, what are we expecting them to do? In a t πŸ’‘ The key to understand GNES is to know *which runtime requires what microservices, and each of which does what*. -### Build your first GNES network +### Build your first GNES app + +Let's start with a typical indexing procedure: + + + + + + + + + +
YAML configGNES workflow (generated by GNES board)
+
+   port: 5566
+   services:
+   - name: Preprocessor
+     yaml_path: text-prep.yaml
+   - name: Encoder
+     yaml_path: gpt2.yml
+   - name: Indexer
+     yaml_path: b-indexer.yml
+   
+
+ GNES workflow of example 1 +
+ From 9738eb4b3888a8af33e835192fa20ea36c8c0e0f Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 16:55:03 +0800 Subject: [PATCH 07/49] doc(readme): add quick start for readme --- .github/mermaid-diagram-20190723165430.svg | 399 +++++++++++++++++++++ README.md | 2 +- 2 files changed, 400 insertions(+), 1 deletion(-) create mode 100644 .github/mermaid-diagram-20190723165430.svg diff --git a/.github/mermaid-diagram-20190723165430.svg b/.github/mermaid-diagram-20190723165430.svg new file mode 100644 index 00000000..5f821ca1 --- /dev/null +++ b/.github/mermaid-diagram-20190723165430.svg @@ -0,0 +1,399 @@ +
push/pull
push/pull
push/pull
push/pull
gRPCFrontend
Preprocessor
Encoder
Indexer
\ No newline at end of file diff --git a/README.md b/README.md index 3699c281..26884572 100644 --- a/README.md +++ b/README.md @@ -195,7 +195,7 @@ Let's start with a typical indexing procedure: - GNES workflow of example 1 + GNES workflow of example 1 From 4f0e35e9fdea47cffcd4d660f06bce3797ccc298 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 16:57:41 +0800 Subject: [PATCH 08/49] doc(readme): add quick start for readme --- README.md | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index 26884572..fb0e5f1e 100644 --- a/README.md +++ b/README.md @@ -182,19 +182,19 @@ Let's start with a typical indexing procedure: YAML configGNES workflow (generated by GNES board) - +
-   port: 5566
-   services:
-   - name: Preprocessor
-     yaml_path: text-prep.yaml
-   - name: Encoder
-     yaml_path: gpt2.yml
-   - name: Indexer
-     yaml_path: b-indexer.yml
+port: 5566
+services:
+- name: Preprocessor
+ yaml_path: text-prep.yaml
+- name: Encoder
+ yaml_path: gpt2.yml
+- name: Indexer
+ yaml_path: b-indexer.yml
    
- + GNES workflow of example 1 From ef6a1015b1d3a702782d5cebe1dea4cf885cdc39 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 16:58:29 +0800 Subject: [PATCH 09/49] doc(readme): add quick start for readme --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index fb0e5f1e..36773b63 100644 --- a/README.md +++ b/README.md @@ -182,7 +182,7 @@ Let's start with a typical indexing procedure: YAML configGNES workflow (generated by GNES board) - +
 port: 5566
 services:
@@ -194,8 +194,8 @@ services:
  yaml_path: b-indexer.yml
    
- - GNES workflow of example 1 + + GNES workflow of example 1 From f481d791642330ee8ef52a4b3217a36cfb5e7140 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 16:59:15 +0800 Subject: [PATCH 10/49] doc(readme): add quick start for readme --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 36773b63..b46fbe57 100644 --- a/README.md +++ b/README.md @@ -182,7 +182,7 @@ Let's start with a typical indexing procedure: YAML configGNES workflow (generated by GNES board) - +
 port: 5566
 services:
@@ -194,8 +194,8 @@ services:
  yaml_path: b-indexer.yml
    
- - GNES workflow of example 1 + + GNES workflow of example 1 From 1a914348d9129d02044b3a367e39f0b5c813fe34 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 17:16:18 +0800 Subject: [PATCH 11/49] doc(readme): add quick start for readme --- README.md | 27 ++++++++++++++++++++++++++- 1 file changed, 26 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index b46fbe57..6d71a2a2 100644 --- a/README.md +++ b/README.md @@ -175,7 +175,7 @@ Okay, now that we have a bunch of apps, what are we expecting them to do? In a t ### Build your first GNES app -Let's start with a typical indexing procedure: +Let's start with a typical indexing procedure by writing a YAML config (see the left column of the table): @@ -200,8 +200,33 @@ services:
+The YAML config should be pretty intuitive. It defines a pipeline workflow consists of preprocessing, encoding and indexing, where the output of the former component is the input of the next. For each component, we also associate it with a YAML config specifying how it should work. Right now they are not important for understanding the big picture, nonetheless curious readers can checkout how each YAML looks like by expanding the text below. +
+ Encoder config: gpt2.yml (click to expand...) + +```yaml +!PipelineEncoder +component: + - !GPT2Encoder + parameter: + model_dir: $GPT2_CI_MODEL + pooling_stragy: REDUCE_MEAN + gnes_config: + is_trained: true + - !PCALocalEncoder + parameter: + output_dim: 32 + num_locals: 8 + gnes_config: + batch_size: 2048 + - !PQEncoder + parameter: + cluster_per_byte: 8 + num_bytes: 8 +``` +
As a cloud-native application, GNES requires an **orchestration engine** to coordinate all micro-services. Currently, we support Kubernetes, Docker Swarm and a built-in solution. Click on one of the icons below to get started. From b46f51a04be4dc8d9f0ceeb018f41e7a3999b3e7 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 17:22:10 +0800 Subject: [PATCH 12/49] doc(readme): add quick start for readme --- README.md | 31 ++++++++++++++++++++++++++++++- 1 file changed, 30 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 6d71a2a2..5ea26718 100644 --- a/README.md +++ b/README.md @@ -203,7 +203,20 @@ services: The YAML config should be pretty intuitive. It defines a pipeline workflow consists of preprocessing, encoding and indexing, where the output of the former component is the input of the next. For each component, we also associate it with a YAML config specifying how it should work. Right now they are not important for understanding the big picture, nonetheless curious readers can checkout how each YAML looks like by expanding the text below.
- Encoder config: gpt2.yml (click to expand...) + Preprocessor config:
text-prep.yml
(click to expand...)
+ +```yaml +!TextPreprocessor +parameter: + start_doc_id: 0 + random_doc_id: True + deliminator: "[.!?]+" +gnes_config: + is_trained: true +``` +
+
+ Encoder config:
gpt2.yml
(click to expand...)
```yaml !PipelineEncoder @@ -224,9 +237,25 @@ component: parameter: cluster_per_byte: 8 num_bytes: 8 +gnes_config: + work_dir: ./ + name: gpt2bin-pipe ```
+
+ Indexer config:
b-indexer.yml
(click to expand...)
+ +```yaml +!BIndexer +parameter: + num_bytes: 8 + data_path: /out_data/idx.binary +gnes_config: + work_dir: ./ + name: bindexer +``` +
As a cloud-native application, GNES requires an **orchestration engine** to coordinate all micro-services. Currently, we support Kubernetes, Docker Swarm and a built-in solution. Click on one of the icons below to get started. From b34982b3d4503b89e68d9962a89d8da9ad3b9193 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 17:22:51 +0800 Subject: [PATCH 13/49] doc(readme): add quick start for readme --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 5ea26718..35298150 100644 --- a/README.md +++ b/README.md @@ -216,7 +216,7 @@ gnes_config: ```
- Encoder config:
gpt2.yml
(click to expand...)
+ Encoder config: gpt2.yml (click to expand...) ```yaml !PipelineEncoder From 37a8b550670eb025aa694a021a9094a3f7510468 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 17:23:37 +0800 Subject: [PATCH 14/49] doc(readme): add quick start for readme --- README.md | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 35298150..acd7ae1d 100644 --- a/README.md +++ b/README.md @@ -203,7 +203,7 @@ services: The YAML config should be pretty intuitive. It defines a pipeline workflow consists of preprocessing, encoding and indexing, where the output of the former component is the input of the next. For each component, we also associate it with a YAML config specifying how it should work. Right now they are not important for understanding the big picture, nonetheless curious readers can checkout how each YAML looks like by expanding the text below.
- Preprocessor config:
text-prep.yml
(click to expand...)
+ Preprocessor config: text-prep.yml (click to expand...) ```yaml !TextPreprocessor @@ -214,9 +214,10 @@ parameter: gnes_config: is_trained: true ``` -
- Encoder config: gpt2.yml (click to expand...) + +
+ Encoder config: gpt2.yml (click to expand...) ```yaml !PipelineEncoder @@ -243,8 +244,9 @@ gnes_config: ```
+
- Indexer config:
b-indexer.yml
(click to expand...)
+ Indexer config: b-indexer.yml (click to expand...) ```yaml !BIndexer From b6db821a57d947b4433ff370035ad565d8b98a40 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 17:24:13 +0800 Subject: [PATCH 15/49] doc(readme): add quick start for readme --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index acd7ae1d..359c7b84 100644 --- a/README.md +++ b/README.md @@ -214,7 +214,7 @@ parameter: gnes_config: is_trained: true ``` -
+
Encoder config: gpt2.yml (click to expand...) @@ -257,7 +257,7 @@ gnes_config: work_dir: ./ name: bindexer ``` -
+
As a cloud-native application, GNES requires an **orchestration engine** to coordinate all micro-services. Currently, we support Kubernetes, Docker Swarm and a built-in solution. Click on one of the icons below to get started. From 56783cdeef97d9178b655f535cd1e06543d2a58b Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 17:46:39 +0800 Subject: [PATCH 16/49] doc(readme): add quick start for readme --- README.md | 96 ++++++++++++++++++++++++++++++++++++++++++++++++++++--- 1 file changed, 91 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 359c7b84..8f74b609 100644 --- a/README.md +++ b/README.md @@ -32,7 +32,7 @@ Highlights β€’ Overview β€’ Install β€’ - Quick Start β€’ + Getting Started β€’ Documentation β€’ Tutorial β€’ Contributing β€’ @@ -150,9 +150,9 @@ Either way, if you see the following message after `$ gnes` or `$ docker run gne

-

Quick Start

+

Getting Started

-### Preliminaries +### 🐣 Preliminaries Before we start, let me first introduce two basic concepts serving as the backbone of GNES: **microservice** and **runtime**. @@ -200,7 +200,7 @@ services: -The YAML config should be pretty intuitive. It defines a pipeline workflow consists of preprocessing, encoding and indexing, where the output of the former component is the input of the next. For each component, we also associate it with a YAML config specifying how it should work. Right now they are not important for understanding the big picture, nonetheless curious readers can checkout how each YAML looks like by expanding the text below. +The YAML config should be pretty intuitive. It defines a pipeline workflow consists of preprocessing, encoding and indexing, where the output of the former component is the input of the next. For each component, we also associate it with a YAML config specifying how it should work. Right now they are not important for understanding the big picture, nonetheless curious readers can checkout how each YAML looks like by expanding the items below.
Preprocessor config: text-prep.yml (click to expand...) @@ -259,7 +259,93 @@ gnes_config: ```
-As a cloud-native application, GNES requires an **orchestration engine** to coordinate all micro-services. Currently, we support Kubernetes, Docker Swarm and a built-in solution. Click on one of the icons below to get started. +On the right side of the above table, you can see how the actual data flow looks like. There is an additional component `gRPCFrontend` automatically added to the workflow, it allows you to feed the data and fetch the result via gRPC protocol. + +Now it's time to run! As a cloud-native application, GNES requires an **orchestration engine** to coordinate all micro-services. We support Kubernetes, Docker Swarm and a shell-based multi-process solution. Moreover, [GNES board](https://board.gnes.ai) can automatically generate an orchestration config/script based on the YAML file you give. Let's see what the generated script looks like in this case. + + + + + + + + + +
Shell-based solutionDockerSwarm solution
+
+#!/usr/bin/env bash
+
+## Prerequirment of this script
+## You need to install GNES locally on this local machine
+## pip install gnes
+
+set -e
+
+trap 'kill $(jobs -p)' EXIT
+
+printf "starting service gRPCFrontend with 1 replicas...\n"
+gnes frontend --grpc_port 5566 --port_out 49668 --socket_out PUSH_BIND --port_in 60654 --socket_in PULL_CONNECT  &
+printf "starting service Preprocessor with 1 replicas...\n"
+gnes preprocess --yaml_path text-prep.yaml --port_in 49668 --socket_in PULL_CONNECT --port_out 61911 --socket_out PUSH_BIND  &
+printf "starting service Encoder with 1 replicas...\n"
+gnes encode --yaml_path gpt2.yml --port_in 61911 --socket_in PULL_CONNECT --port_out 49947 --socket_out PUSH_BIND  &
+printf "starting service Indexer with 1 replicas...\n"
+gnes index --yaml_path b-indexer.yml --port_in 49947 --socket_in PULL_CONNECT --port_out 60654 --socket_out PUSH_BIND  &
+
+wait
+   
+
+
+version: '3.4'
+services:
+  gRPCFrontend00:
+    image: gnes/gnes:latest
+    command: frontend --grpc_port 5566 --port_out 49668 --socket_out PUSH_BIND --port_in
+      60654 --socket_in PULL_CONNECT --host_in Indexer30
+    ports:
+    - 5566:5566
+  Preprocessor10:
+    image: gnes/gnes:latest
+    command: preprocess --port_in 49668 --socket_in PULL_CONNECT
+      --port_out 61911 --socket_out PUSH_BIND --yaml_path /Preprocessor10_yaml --host_in
+      gRPCFrontend00
+    configs:
+    - Preprocessor10_yaml
+  Encoder20:
+    image: gnes/gnes:latest
+    command: encode --port_in 61911 --socket_in PULL_CONNECT
+      --port_out 49947 --socket_out PUSH_BIND --yaml_path /Encoder20_yaml --host_in
+      Preprocessor10
+    configs:
+    - Encoder20_yaml
+  Indexer30:
+    image: gnes/gnes:latest
+    command: index --port_in 49947 --socket_in PULL_CONNECT
+      --port_out 60654 --socket_out PUSH_BIND --yaml_path /Indexer30_yaml --host_in
+      Encoder20
+    configs:
+    - Indexer30_yaml
+volumes: {}
+networks:
+  gnes-net:
+    driver: overlay
+    attachable: true
+configs:
+  Preprocessor10_yaml:
+    file: text-prep.yaml
+  Encoder20_yaml:
+    file: gpt2.yml
+  Indexer30_yaml:
+    file: b-indexer.yml         
+  
+
+ + + + + + +Click on one of the icons below to get started.

From 7143f285ea0c8198cf3e70e61124e2ddb084277b Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 17:47:50 +0800 Subject: [PATCH 17/49] doc(readme): add quick start for readme --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 8f74b609..335225c6 100644 --- a/README.md +++ b/README.md @@ -268,7 +268,7 @@ Now it's time to run! As a cloud-native application, GNES requires an **orchestr - -wqsMj*u*?I9|lqfz@B9{lM##{o+T-n9dI~%tWyy61Y z0Y3{z*o6358MLq^M!c6(y5o{ZS~od>&-6wNYzPBlWmq+t=wUq<6h^s;88lUHO;Ci( z6El~k^Q8$EaMAK;%5QDGNTrUow=Sa}KpP2vGf9}ve@!=|4m=t*)?b?oGXh#f4h$MM z>K}76ObMdQjZ@>7n^;95Ja%$fwTv;}oz!?o^xeu2Sv}pj@Q7{4#esW-p`0_~%R|P7 zt8J~SKWcRYVrhm>S2zNOG~fNA|MW;1R{&Cz!OK6yVQ@KZ^1J?*;^Eh%pjy_FE6z|r z$i_GWB?E|R5d6$!TEBVslC4F)j6Pb=)arX!vXJ|qR*Rg9ByMHoPsDzuJ+@>+qcC<#LNxOcsBpvs&-twLH$2_;{vR z#9F+gsK@&3t3;8rH(*++&Fgvh5sm^v7HHq@^#YPK)AH@NBL%`6bo6{{3B~_jV~H72 z^L^E4iCVG$(_CZnk=`ipx&fZpUhkxRV!nB^)-~_b@b}JTQ9hgwP1Mm8rTxv8;TAKg z)6tSO_s#L??FKrrqpeE&yNku`2h4m&N9Wvk_rQCN_1+iJ^lcw;_Xabo{{KT`b^0|e z_n-1+F>t!NX`2-oF@td&8mz)TL{qkUBb}+MP06EDQ*6D#nb*{_}iY9GM$SW zr@M919nk2=-2Y2sC3P4Zd_QXI{rmk@Qt#G(YOKFMMje6Z$N5>K!a;OsoW5N=-K!yn z_ovZveV-^6uEw6e|CRibqZQk|4T3u5e zc0Rby@89kA1G%dS0qj}Yzq`-6aJz9_Ybos3_I{el0}8_Uxf+Mh6`4QF@13w<_MR}4u8@WKCTvSNF6jc4rXAFK>CGC zM7txae3iZ+)T({8O#|CFB6K-@6{90SYJnP(h#7g$O=HwTC&KK?)yCP+;EV4u&|tv? 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b/README.md @@ -263,6 +263,12 @@ On the right side of the above table, you can see how the actual data flow looks Now it's time to run! [GNES board](https://board.gnes.ai) can automatically generate a starting script/config based on the YAML config you give. As a cloud-native application, GNES requires an **orchestration engine** to coordinate all micro-services. We support Kubernetes, Docker Swarm and shell-based multi-process. Let's see what the generated script looks like in this case. +

+ + GNES Board + +

+
Shell-based starting script (click to expand...) @@ -335,6 +341,8 @@ configs:
+ + Click on one of the icons below to get started.

From 22a60adaaa56f26ede4f3861a987e2f9f0435dc3 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 18:50:36 +0800 Subject: [PATCH 24/49] doc(readme): add quick start for readme --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index a7dd74c3..eeb98e23 100644 --- a/README.md +++ b/README.md @@ -265,7 +265,7 @@ Now it's time to run! [GNES board](https://board.gnes.ai) can automatically gene

- GNES Board + GNES Board

From 16aeaabbdc3c20e48a1658f2500e993bbfdbf787 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 19:16:04 +0800 Subject: [PATCH 25/49] doc(readme): add quick start for readme --- .github/mermaid-diagram-20190723191407.svg | 399 +++++++++++++++++++++ README.md | 44 +++ 2 files changed, 443 insertions(+) create mode 100644 .github/mermaid-diagram-20190723191407.svg diff --git a/.github/mermaid-diagram-20190723191407.svg b/.github/mermaid-diagram-20190723191407.svg new file mode 100644 index 00000000..eea7fc49 --- /dev/null +++ b/.github/mermaid-diagram-20190723191407.svg @@ -0,0 +1,399 @@ +
push/pull
push/pull
push/pull
push/pull
push/pull
push/pull
push/pull
push/pull
push/pull
push/pull
pub/sub
pub/sub
push/pull
push/pull
push/pull
push/pull
push/pull
push/pull
push/pull
push/pull
push/pull
push/pull
push/pull
push/pull
push/pull
push/pull
push/pull
gRPCFrontend
Preprocessor0
Preprocessor1
Router
Encoder0
Encoder1
Encoder2
Router
Router0
Router1
Indexer00
Indexer01
Indexer02
Indexer03
Indexer10
Indexer11
Indexer12
Router
\ No newline at end of file diff --git a/README.md b/README.md index eeb98e23..eb343e4a 100644 --- a/README.md +++ b/README.md @@ -341,6 +341,50 @@ configs: +For the sake of simplicity, we will just use the generated shell-script to start GNES. Create a new file say `run.sh`, copy the content to it and run it via `$ bash ./run.sh`. You should see the output as follows: + + +### Scale your GNES app + +Now let's juice it up a bit. To be honest, building a simple pipeline flow is not impressive at all. The true power of GNES is that you can scale any component at any time you want. Encoding is slow? Adding more machines. Preprocessing takes too long? More machines. Index file is too large? Adding shards, aka. more machines! + +In this example, we compose a more complicated GNES workflow with multiple preprocessors, encoders and two types of indexers. + +
Shell-based solutionDockerSwarm solution
+
 #!/usr/bin/env bash
 
@@ -292,7 +292,7 @@ gnes index --yaml_path b-indexer.yml --port_in 49947 --socket_in PULL_CONNECT --
 wait
    
+
 version: '3.4'
 services:

From 59d35fa22eab63517085a70719e3aec7e9547e10 Mon Sep 17 00:00:00 2001
From: hanhxiao 
Date: Tue, 23 Jul 2019 17:49:36 +0800
Subject: [PATCH 18/49] doc(readme): add quick start for readme

---
 README.md | 11 ++++++++---
 1 file changed, 8 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 335225c6..d0763691 100644
--- a/README.md
+++ b/README.md
@@ -265,10 +265,10 @@ Now it's time to run! As a cloud-native application, GNES requires an **orchestr
 
 
-
+
-
-
+
+
+
+
+
Shell-based solutionDockerSwarm solutionShell-based solution
+
 #!/usr/bin/env bash
 
@@ -292,7 +292,12 @@ gnes index --yaml_path b-indexer.yml --port_in 49947 --socket_in PULL_CONNECT --
 wait
    
+
Docker-Swarm solution
 version: '3.4'
 services:

From efe62ec4519e4b1ee1cbb0a51585ed8d14a2cbcb Mon Sep 17 00:00:00 2001
From: hanhxiao 
Date: Tue, 23 Jul 2019 17:54:04 +0800
Subject: [PATCH 19/49] doc(readme): add quick start for readme

---
 README.md | 13 ++++---------
 1 file changed, 4 insertions(+), 9 deletions(-)

diff --git a/README.md b/README.md
index d0763691..99621830 100644
--- a/README.md
+++ b/README.md
@@ -271,22 +271,17 @@ Now it's time to run! As a cloud-native application, GNES requires an **orchestr
 
 #!/usr/bin/env bash
-
-## Prerequirment of this script
-## You need to install GNES locally on this local machine
-## pip install gnes
-
 set -e
 
 trap 'kill $(jobs -p)' EXIT
 
-printf "starting service gRPCFrontend with 1 replicas...\n"
+printf "starting service gRPCFrontend with 0 replicas...\n"
 gnes frontend --grpc_port 5566 --port_out 49668 --socket_out PUSH_BIND --port_in 60654 --socket_in PULL_CONNECT  &
-printf "starting service Preprocessor with 1 replicas...\n"
+printf "starting service Preprocessor with 0replicas...\n"
 gnes preprocess --yaml_path text-prep.yaml --port_in 49668 --socket_in PULL_CONNECT --port_out 61911 --socket_out PUSH_BIND  &
-printf "starting service Encoder with 1 replicas...\n"
+printf "starting service Encoder with 0 replicas...\n"
 gnes encode --yaml_path gpt2.yml --port_in 61911 --socket_in PULL_CONNECT --port_out 49947 --socket_out PUSH_BIND  &
-printf "starting service Indexer with 1 replicas...\n"
+printf "starting service Indexer with 0 replicas...\n"
 gnes index --yaml_path b-indexer.yml --port_in 49947 --socket_in PULL_CONNECT --port_out 60654 --socket_out PUSH_BIND  &
 
 wait

From 1552e8d1a4848a75319c1820c86c14d1550b26de Mon Sep 17 00:00:00 2001
From: hanhxiao 
Date: Tue, 23 Jul 2019 17:55:23 +0800
Subject: [PATCH 20/49] doc(readme): add quick start for readme

---
 README.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/README.md b/README.md
index 99621830..105017c8 100644
--- a/README.md
+++ b/README.md
@@ -275,13 +275,13 @@ set -e
 
 trap 'kill $(jobs -p)' EXIT
 
-printf "starting service gRPCFrontend with 0 replicas...\n"
+printf "starting service gRPCFrontend with 0 replicas...\n"
 gnes frontend --grpc_port 5566 --port_out 49668 --socket_out PUSH_BIND --port_in 60654 --socket_in PULL_CONNECT  &
-printf "starting service Preprocessor with 0replicas...\n"
+printf "starting service Preprocessor with 0replicas...\n"
 gnes preprocess --yaml_path text-prep.yaml --port_in 49668 --socket_in PULL_CONNECT --port_out 61911 --socket_out PUSH_BIND  &
-printf "starting service Encoder with 0 replicas...\n"
+printf "starting service Encoder with 0 replicas...\n"
 gnes encode --yaml_path gpt2.yml --port_in 61911 --socket_in PULL_CONNECT --port_out 49947 --socket_out PUSH_BIND  &
-printf "starting service Indexer with 0 replicas...\n"
+printf "starting service Indexer with 0 replicas...\n"
 gnes index --yaml_path b-indexer.yml --port_in 49947 --socket_in PULL_CONNECT --port_out 60654 --socket_out PUSH_BIND  &
 
 wait
@@ -335,7 +335,7 @@ configs:
     file: gpt2.yml
   Indexer30_yaml:
     file: b-indexer.yml         
-  
+  
From 08b2f8ed4df31d3d472affc56f420961fe5579d9 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 17:57:02 +0800 Subject: [PATCH 21/49] doc(readme): add quick start for readme --- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 105017c8..be9f5dbc 100644 --- a/README.md +++ b/README.md @@ -275,13 +275,13 @@ set -e trap 'kill $(jobs -p)' EXIT -printf "starting service gRPCFrontend with 0 replicas...\n" +printf "starting service gRPCFrontend with 0 replicas...\n" gnes frontend --grpc_port 5566 --port_out 49668 --socket_out PUSH_BIND --port_in 60654 --socket_in PULL_CONNECT & -printf "starting service Preprocessor with 0replicas...\n" +printf "starting service Preprocessor with 0replicas...\n" gnes preprocess --yaml_path text-prep.yaml --port_in 49668 --socket_in PULL_CONNECT --port_out 61911 --socket_out PUSH_BIND & -printf "starting service Encoder with 0 replicas...\n" +printf "starting service Encoder with 0 replicas...\n" gnes encode --yaml_path gpt2.yml --port_in 61911 --socket_in PULL_CONNECT --port_out 49947 --socket_out PUSH_BIND & -printf "starting service Indexer with 0 replicas...\n" +printf "starting service Indexer with 0 replicas...\n" gnes index --yaml_path b-indexer.yml --port_in 49947 --socket_in PULL_CONNECT --port_out 60654 --socket_out PUSH_BIND & wait From bebfebbada9c4739bb828613c94a9b7dfc30fa44 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 18:01:59 +0800 Subject: [PATCH 22/49] doc(readme): add quick start for readme --- README.md | 46 ++++++++++++++++++---------------------------- 1 file changed, 18 insertions(+), 28 deletions(-) diff --git a/README.md b/README.md index be9f5dbc..66237d6f 100644 --- a/README.md +++ b/README.md @@ -259,17 +259,15 @@ gnes_config: ``` -On the right side of the above table, you can see how the actual data flow looks like. There is an additional component `gRPCFrontend` automatically added to the workflow, it allows you to feed the data and fetch the result via gRPC protocol. +On the right side of the above table, you can see how the actual data flow looks like. There is an additional component `gRPCFrontend` automatically added to the workflow, it allows you to feed the data and fetch the result via gRPC protocol through port `5566`. -Now it's time to run! As a cloud-native application, GNES requires an **orchestration engine** to coordinate all micro-services. We support Kubernetes, Docker Swarm and a shell-based multi-process solution. Moreover, [GNES board](https://board.gnes.ai) can automatically generate an orchestration config/script based on the YAML file you give. Let's see what the generated script looks like in this case. +Now it's time to run! [GNES board](https://board.gnes.ai) can automatically generate a starting script/config based on the YAML config you give. As a cloud-native application, GNES requires an **orchestration engine** to coordinate all micro-services. We support Kubernetes, Docker Swarm and shell-based multi-process. Let's see what the generated script looks like in this case. - - - - - - - - - - - - - -
Shell-based solution
-
+
+
+ Shell-based starting script (click to expand...) + +```bash #!/usr/bin/env bash set -e @@ -277,7 +275,7 @@ trap 'kill $(jobs -p)' EXIT printf "starting service gRPCFrontend with 0 replicas...\n" gnes frontend --grpc_port 5566 --port_out 49668 --socket_out PUSH_BIND --port_in 60654 --socket_in PULL_CONNECT & -printf "starting service Preprocessor with 0replicas...\n" +printf "starting service Preprocessor with 0 replicas...\n" gnes preprocess --yaml_path text-prep.yaml --port_in 49668 --socket_in PULL_CONNECT --port_out 61911 --socket_out PUSH_BIND & printf "starting service Encoder with 0 replicas...\n" gnes encode --yaml_path gpt2.yml --port_in 61911 --socket_in PULL_CONNECT --port_out 49947 --socket_out PUSH_BIND & @@ -285,15 +283,13 @@ printf "starting service Indexer with 0 replicas...\n" gnes index --yaml_path b-indexer.yml --port_in 49947 --socket_in PULL_CONNECT --port_out 60654 --socket_out PUSH_BIND & wait -
-
Docker-Swarm solution
-
+```
+
+
+
+ DockerSwarm compose file (click to expand...) + +```yaml version: '3.4' services: gRPCFrontend00: @@ -334,15 +330,9 @@ configs: Encoder20_yaml: file: gpt2.yml Indexer30_yaml: - file: b-indexer.yml -
-
- - - - + file: b-indexer.yml +``` + Click on one of the icons below to get started. From 0f79cbf154e13b3549a04876aa95741426218ef5 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 18:49:58 +0800 Subject: [PATCH 23/49] doc(readme): add quick start for readme --- .github/gnes-board-demo.gif | Bin 0 -> 4280280 bytes README.md | 8 ++++++++ 2 files changed, 8 insertions(+) create mode 100644 .github/gnes-board-demo.gif diff --git a/.github/gnes-board-demo.gif b/.github/gnes-board-demo.gif new file mode 100644 index 0000000000000000000000000000000000000000..13bd55f40626598bd4095adef2a6474ce0d32de8 GIT binary patch literal 4280280 zcmcdyF7h4SnLG^?6|nxxwzj733r7 z4GannefcspQBFQZPe0YvEW^qs=dodpzJ8g$L8+N}vX}RJXO}`(k7_5EYHvT3hks4b zt1f4kGCQYnFRwA*!13q)VOef4mjqI`B#Ni+8GX{IJX08bGwA)Y1p?B=U*&N7BpJU- zG7EaA|LQ&RHFDY^jy5ipqomd+?t^ARtxaZ)VP?HcW{pdFrOSr~i;`xq(jNJbU#J@v zxKS%+b<1Hj!|rvnF16p7rZ?HgH#i?g=;!y@Hur=!4#dCwX4^d%+Sy~i7`Hh(f3me5 z6&({59h;c=J}D_B^Fv;GMs{*adP8DTLsU#{R(9?C)V#uytitky!m8NH_SE9K(z41* zR837yU0p?0OG#yGdskaWcSmP;eFM5Aw`lx*%6wYd=7+3>l=r7Od7Ejd-Q2SIn%dQh 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+ + + + + + + +
YAML configGNES workflow (generated by GNES board)
+
+port: 5566
+services:
+- name: Preprocessor
+  replicas: 2
+  yaml_path: image-prep.yml
+- name: Encoder
+  replicas: 3
+  yaml_path: incep-v3.yml
+- - name: Indexer
+    yaml_path: faiss.yml
+    replicas: 4
+  - name: Indexer
+    yaml_path: fulltext.yml
+    replicas: 3
+   
+
+ GNES workflow of example 2 +
+ + + + + + + Click on one of the icons below to get started. From 3aee7a8db60b9d7b985167f193061915f729ae3d Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 19:46:58 +0800 Subject: [PATCH 26/49] doc(readme): add quick start for readme --- README.md | 110 ++-------------------------------------- docs/chapter/archive.md | 100 ++++++++++++++++++++++++++++++++++++ 2 files changed, 103 insertions(+), 107 deletions(-) create mode 100644 docs/chapter/archive.md diff --git a/README.md b/README.md index eb343e4a..50bfaaf5 100644 --- a/README.md +++ b/README.md @@ -348,7 +348,7 @@ For the sake of simplicity, we will just use the generated shell-script to start Now let's juice it up a bit. To be honest, building a simple pipeline flow is not impressive at all. The true power of GNES is that you can scale any component at any time you want. Encoding is slow? Adding more machines. Preprocessing takes too long? More machines. Index file is too large? Adding shards, aka. more machines! -In this example, we compose a more complicated GNES workflow with multiple preprocessors, encoders and two types of indexers. +In this example, we compose a more complicated GNES workflow for images. This workflow consists of multiple preprocessors, encoders and two types of indexers. In particular, we introduce two types of indexers: one for storing the encoded binary vectors, the other for storing the original images, i.e. full-text index. These two types of indexers work in parallel. Check out the YAML file on the left side of table for more details, note how `replicas` is defined for each component. @@ -379,113 +379,9 @@ services:
+You may realize that besides the `gRPCFrontend`, multiple `Router` have been added to the workflow. Routers serve as a message broker between microservices, determining how and where the message is received and sent. In the last pipeline example, the data flow is too simple so there is no need for adding any router. In this example routers are necessary for connecting multiple preprocessors and encoders, otherwise preprocessors wouldn't know where to send the message. GNES Board automatically adds router to the workflow when necessary based on the type of two consecutive layers. It may also add stacked routers, as you can see between encoder and indexer in the right graph. - - - - - - - -Click on one of the icons below to get started. - -

- - - - - - -
- GNES on Kubernetes -
- ▢️ I want to use GNES with Kubernetes. -
- GNES on Docker Swarm -
- ▢️ I want to use GNES with Docker Swarm. -
- GNES with built-in orchestration -
- ▢️ I want to use GNES on a single machine. -
-

- - - -### Using GNES with Kubernetes - -TBA - -### Using GNES with Docker Swarm - -The easiest and the recommended way to use GNES is via Docker, which uses containers to create virtual environments that isolate a GNES installation from the rest of the system. You don't need to worry about dependencies, they are self-contained in the GNES docker image. Moreover, GNES relies on the Docker Swarm for managing, scaling and conducting orchestration tasks over multiple micro-services. - -#### 1. Prerequisites - -- [Docker Engine>=1.13](https://docs.docker.com/install/) -- [Docker Compose](https://docs.docker.com/compose/install/) -- [Docker Machine](https://docs.docker.com/machine/install-machine/) - - -#### 2. Start GNES with the wizard - -If you are new to GNES, it is recommended to use the wizard to config and start GNES. - -```bash -bash <(curl -s https://raw.githubusercontent.com/gnes-ai/wizard/build/wizard.sh) -``` - -At the last step, the wizard will generate a random name for the service, say `my-gnes-0531`. Keep that name in mind. If you miss that name, you can always use `docker stack ls` to checkout the name of your service. - -
- How do I know if GNES is running succesfully? (click to expand...) - -To tell whether the service is running successfully or not, you can use `docker stack ps my-gnes-0531`. It should give you results as follows: -```bash -ID NAME IMAGE NODE DESIRED STATE CURRENT STATE ERROR PORTS -zku2zm9deli9 my-gnes-0531_encoder.1 ccr.ccs.tencentyun.com/gnes/aipd-gnes:86c0a3a VM-0-3-ubuntu Running Running about an hour ago -yc09pst6s7yt my-gnes-0531_grpc_serve.1 ccr.ccs.tencentyun.com/gnes/aipd-gnes:86c0a3a VM-0-3-ubuntu Running Running about an hour ago -``` - -Note, the running status under `CURRENT STATE` suggests everything is fine. - -
- -
-How can I terminate GNES? (click to expand...) - -To stop a running GNES service, you can use `docker stack rm my-gnes-0531`. - -- Having troubles to start GNES? Checkout our [troubleshooting guide](#). -- For pro-users/developers, you may want to use our `gnes-yaml.sh` tools to [generate a YAML config via CLI](#); or simply [handcraft your own `docker-compose.yml`](#). - -
- - - -### Using GNES with Built-In Orchestration - -TBA - -

Usage

- -First thing to know, GNES has **three independent runtimes**: train, index and search. This differs from the classic machine learning system which has two runtimes i.e. train and inference; also differs from the classic search system that has two runtimes i.e. index and search. Depending on the runtime of GNES, the microservices may be composed, work and communicate with others in different ways. In other word, the runtime determines which service doing what logic at when. In the sequel, we will demonstrate how to use GNES under different runtimes. - -Note, to switch between runtimee you need to shutdown the current runtime and start a new GNES. - -### Train mode: training encoders and indexers - -TBA - -### Index mode: adding new documents - -TBA - -### Query mode: searching relevant documents of a given query - -TBA - +Again, the detailed YAML config of each component is not important for understanding the big picture, hence we omit it for now.

Documentation

diff --git a/docs/chapter/archive.md b/docs/chapter/archive.md new file mode 100644 index 00000000..3b599e2a --- /dev/null +++ b/docs/chapter/archive.md @@ -0,0 +1,100 @@ + + +Click on one of the icons below to get started. + +

+ + + + + + +
+ GNES on Kubernetes +
+ ▢️ I want to use GNES with Kubernetes. +
+ GNES on Docker Swarm +
+ ▢️ I want to use GNES with Docker Swarm. +
+ GNES with built-in orchestration +
+ ▢️ I want to use GNES on a single machine. +
+

+ + + +### Using GNES with Kubernetes + +TBA + +### Using GNES with Docker Swarm + +The easiest and the recommended way to use GNES is via Docker, which uses containers to create virtual environments that isolate a GNES installation from the rest of the system. You don't need to worry about dependencies, they are self-contained in the GNES docker image. Moreover, GNES relies on the Docker Swarm for managing, scaling and conducting orchestration tasks over multiple micro-services. + +#### 1. Prerequisites + +- [Docker Engine>=1.13](https://docs.docker.com/install/) +- [Docker Compose](https://docs.docker.com/compose/install/) +- [Docker Machine](https://docs.docker.com/machine/install-machine/) + + +#### 2. Start GNES with the wizard + +If you are new to GNES, it is recommended to use the wizard to config and start GNES. + +```bash +bash <(curl -s https://raw.githubusercontent.com/gnes-ai/wizard/build/wizard.sh) +``` + +At the last step, the wizard will generate a random name for the service, say `my-gnes-0531`. Keep that name in mind. If you miss that name, you can always use `docker stack ls` to checkout the name of your service. + +
+ How do I know if GNES is running succesfully? (click to expand...) + +To tell whether the service is running successfully or not, you can use `docker stack ps my-gnes-0531`. It should give you results as follows: +```bash +ID NAME IMAGE NODE DESIRED STATE CURRENT STATE ERROR PORTS +zku2zm9deli9 my-gnes-0531_encoder.1 ccr.ccs.tencentyun.com/gnes/aipd-gnes:86c0a3a VM-0-3-ubuntu Running Running about an hour ago +yc09pst6s7yt my-gnes-0531_grpc_serve.1 ccr.ccs.tencentyun.com/gnes/aipd-gnes:86c0a3a VM-0-3-ubuntu Running Running about an hour ago +``` + +Note, the running status under `CURRENT STATE` suggests everything is fine. + +
+ +
+How can I terminate GNES? (click to expand...) + +To stop a running GNES service, you can use `docker stack rm my-gnes-0531`. + +- Having troubles to start GNES? Checkout our [troubleshooting guide](#). +- For pro-users/developers, you may want to use our `gnes-yaml.sh` tools to [generate a YAML config via CLI](#); or simply [handcraft your own `docker-compose.yml`](#). + +
+ + + +### Using GNES with Built-In Orchestration + +TBA + +

Usage

+ +First thing to know, GNES has **three independent runtimes**: train, index and search. This differs from the classic machine learning system which has two runtimes i.e. train and inference; also differs from the classic search system that has two runtimes i.e. index and search. Depending on the runtime of GNES, the microservices may be composed, work and communicate with others in different ways. In other word, the runtime determines which service doing what logic at when. In the sequel, we will demonstrate how to use GNES under different runtimes. + +Note, to switch between runtimee you need to shutdown the current runtime and start a new GNES. + +### Train mode: training encoders and indexers + +TBA + +### Index mode: adding new documents + +TBA + +### Query mode: searching relevant documents of a given query + +TBA \ No newline at end of file From 736e81f2b8047b570c39a01a981f31ab791de5f8 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 19:50:49 +0800 Subject: [PATCH 27/49] doc(readme): add quick start for readme --- .github/install-success.svg | 90 +++++++++++++++++++------------------ 1 file changed, 47 insertions(+), 43 deletions(-) diff --git a/.github/install-success.svg b/.github/install-success.svg index 4412ab08..9b5b6111 100644 --- a/.github/install-success.svg +++ b/.github/install-success.svg @@ -1,4 +1,4 @@ - + @@ -16,36 +16,36 @@ } :root { - --animation-duration: 2154ms; + --animation-duration: 2232ms; } @keyframes roll { 0.000%{transform:translateY(0px)} -0.279%{transform:translateY(-510px)} -4.921%{transform:translateY(-1020px)} -5.060%{transform:translateY(-1530px)} -8.264%{transform:translateY(-2040px)} -8.357%{transform:translateY(-2550px)} -12.999%{transform:translateY(-3060px)} -17.642%{transform:translateY(-3570px)} -22.284%{transform:translateY(-4080px)} -26.927%{transform:translateY(-4590px)} -31.569%{transform:translateY(-5100px)} -31.662%{transform:translateY(-5610px)} -31.755%{transform:translateY(-6120px)} -36.397%{transform:translateY(-6630px)} -36.444%{transform:translateY(-7140px)} -41.086%{transform:translateY(-7650px)} -45.729%{transform:translateY(-8160px)} -46.286%{transform:translateY(-8670px)} -48.375%{transform:translateY(-9180px)} -48.932%{transform:translateY(-9690px)} -53.575%{transform:translateY(-10200px)} +0.358%{transform:translateY(-510px)} +4.839%{transform:translateY(-1020px)} +4.973%{transform:translateY(-1530px)} +9.050%{transform:translateY(-2040px)} +9.140%{transform:translateY(-2550px)} +13.620%{transform:translateY(-3060px)} +18.100%{transform:translateY(-3570px)} +22.401%{transform:translateY(-4080px)} +26.882%{transform:translateY(-4590px)} +31.362%{transform:translateY(-5100px)} +31.765%{transform:translateY(-5610px)} +31.810%{transform:translateY(-6120px)} +36.290%{transform:translateY(-6630px)} +36.380%{transform:translateY(-7140px)} +40.860%{transform:translateY(-7650px)} +45.341%{transform:translateY(-8160px)} +46.057%{transform:translateY(-8670px)} +50.224%{transform:translateY(-9180px)} +50.717%{transform:translateY(-9690px)} +55.197%{transform:translateY(-10200px)} 100.000%{transform:translateY(-10200px)} } #screen_view { - animation-duration: 2154ms; + animation-duration: 2232ms; animation-iteration-count:infinite; animation-name:roll; animation-timing-function: steps(1,end); @@ -54,26 +54,30 @@ ]]> - - ~ ~ g ~ gn ~ gne ~ gnes ~ gnes usage: gnes [-h] [-v] [--verbose] {frontend,index,encode,route,preprocess,client_http,client_cli,compose} ...GNES v0.0.24: Generic Neural Elastic Search, a cloud-native semanticsearch system based on deep neural network. It enables large-scale index andsemantic search for text-to-text, image-to-image, video-to-video and anycontent form. Visit https://gnes.ai for tutorials anddocumentations.optional arguments: -h, --help show this help message and exit -v, --version show program's version number and exit --verbose turn on detailed logging for debugGNES sub-commands: use "gnes [sub-command] --help" to get detailed information about each sub-command {frontend,index,encode,route,preprocess,client_http,client_cli,compose} frontend start a grpc frontend service index start an indexer service encode start an encoder service route route start a router service preprocess start a preprocessor service client_http start a http service client_cli start a grpc client compose start a GNES Board and visualize YAML config~ + + + + + + ~ ~ g ~ gn ~ gne ~ gnes ~ gnes usage: gnes [-h] [-v] [--verbose] {frontend,index,encode,route,preprocess,client_http,client_cli,compose} ...GNES v0.0.24: Generic Neural Elastic Search, a cloud-native semanticsearch system based on deep neural network. It enables large-scale index andsemantic search for text-to-text, image-to-image, video-to-video and anycontent form. Visit https://gnes.ai for tutorials anddocumentations.optional arguments: -h, --help show this help message and exit -v, --version show program's version number and exit --verbose turn on detailed logging for debugGNES sub-commands: use "gnes [sub-command] --help" to get detailed information about each sub-command {frontend,index,encode,route,preprocess,client_http,client_cli,compose} frontend start a grpc frontend service index start an indexer service encode start an encoder service route route start a router service preprocess start a preprocessor service client_http start a http service client_cli start a grpc client compose start a GNES Board and visualize YAML config~ \ No newline at end of file From 11ccc648a7b1deb3ea707a13f3c53edd996bcbc1 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 20:45:24 +0800 Subject: [PATCH 28/49] doc(readme): add quick start for readme --- README.md | 20 +++++++++++++++++++- 1 file changed, 19 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 50bfaaf5..28e00465 100644 --- a/README.md +++ b/README.md @@ -344,9 +344,11 @@ configs: For the sake of simplicity, we will just use the generated shell-script to start GNES. Create a new file say `run.sh`, copy the content to it and run it via `$ bash ./run.sh`. You should see the output as follows: +This suggests the GNES app is ready and waiting for the incoming data. You may now feed data to it through the `gRPCFrontend`. Depending on your language (Python, C, Java, Go, HTTP, Shell, etc.) and the content form (image, video, text, etc), the data feeding part can be slightly different. + ### Scale your GNES app -Now let's juice it up a bit. To be honest, building a simple pipeline flow is not impressive at all. The true power of GNES is that you can scale any component at any time you want. Encoding is slow? Adding more machines. Preprocessing takes too long? More machines. Index file is too large? Adding shards, aka. more machines! +Now let's juice it up a bit. To be honest, building a single-machine process-based pipeline is not impressive anyway. The true power of GNES is that you can scale any component at any time you want. Encoding is slow? Adding more machines. Preprocessing takes too long? More machines. Index file is too large? Adding shards, aka. more machines! In this example, we compose a more complicated GNES workflow for images. This workflow consists of multiple preprocessors, encoders and two types of indexers. In particular, we introduce two types of indexers: one for storing the encoded binary vectors, the other for storing the original images, i.e. full-text index. These two types of indexers work in parallel. Check out the YAML file on the left side of table for more details, note how `replicas` is defined for each component. @@ -383,6 +385,22 @@ You may realize that besides the `gRPCFrontend`, multiple `Router` have been add Again, the detailed YAML config of each component is not important for understanding the big picture, hence we omit it for now. +This time we will run GNES via DockerSwarm. To do that simply copy the generated DockerSwarm YAML config to a file say `my-gnes.yml`, and then do +```bash +docker stack deploy --compose-file my-gnes.yml +``` + +The output should looks like follows: + + +This suggests the GNES app is ready and waiting for the incoming data. You may now feed data to it through the `gRPCFrontend`. Depending on your language (Python, C, Java, Go, HTTP, Shell, etc.) and the content form (image, video, text, etc), the data feeding part can be slightly different. + + +### A Short Recap + + + +

Documentation

[![ReadTheDoc](https://readthedocs.org/projects/gnes/badge/?version=latest&style=for-the-badge)](https://doc.gnes.ai) From 3abfd4107513a264dbb8d30d9fbf1d2301b04971 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 20:48:55 +0800 Subject: [PATCH 29/49] doc(readme): add quick start for readme --- README.md | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/README.md b/README.md index 28e00465..6fc76b62 100644 --- a/README.md +++ b/README.md @@ -152,6 +152,13 @@ Either way, if you see the following message after `$ gnes` or `$ docker run gne

Getting Started

+- [🐣 Preliminaries](#---preliminaries) + * [Microservice](#microservice) + * [Runtime](#runtime) +- [Build your first GNES app](#build-your-first-gnes-app) +- [Scale your GNES app](#scale-your-gnes-app) +- [A Short Recap](#a-short-recap) + ### 🐣 Preliminaries Before we start, let me first introduce two basic concepts serving as the backbone of GNES: **microservice** and **runtime**. From 41c93cb24162a5d0e1b8160b158271174ff369b1 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 21:05:07 +0800 Subject: [PATCH 30/49] doc(readme): add quick start for readme --- README.md | 15 +++++++++++++-- 1 file changed, 13 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 6fc76b62..cd6af2c4 100644 --- a/README.md +++ b/README.md @@ -158,6 +158,7 @@ Either way, if you see the following message after `$ gnes` or `$ docker run gne - [Build your first GNES app](#build-your-first-gnes-app) - [Scale your GNES app](#scale-your-gnes-app) - [A Short Recap](#a-short-recap) + * [What's next?](#what-s-next-) ### 🐣 Preliminaries @@ -178,7 +179,7 @@ In GNES, we have implemented dozens of preprocessor, encoder, indexer to process Okay, now that we have a bunch of apps, what are we expecting them to do? In a typical search system, there are two fundamental tasks: **indexing** and **querying**. Indexing is storing the documents, querying is searching the documents, pretty straightforward. In a neural search system, one may also face another task: **training**, where one fine-tunes an encoder/preprocessor according to the data distribution in order to achieve better search relevance. These three tasks: indexing, querying and training are what we call three **runtimes** in GNES. -πŸ’‘ The key to understand GNES is to know *which runtime requires what microservices, and each of which does what*. +πŸ’‘ The key to understand GNES is to know *which runtime requires what microservices, and each microservice does what*. ### Build your first GNES app @@ -403,11 +404,21 @@ The output should looks like follows: This suggests the GNES app is ready and waiting for the incoming data. You may now feed data to it through the `gRPCFrontend`. Depending on your language (Python, C, Java, Go, HTTP, Shell, etc.) and the content form (image, video, text, etc), the data feeding part can be slightly different. -### A Short Recap +### Take-home messages +Now that you know how to compose and run a GNES app, let's make a short recap of what we have learned. +- GNES is *all-in-microservice*, there are four fundamental components: preprocessor, encoder, indexer and router. +- GNES has three runtimes: training, indexing, and querying. The key to compose a GNES app is to clarify *which runtime requires what microservices (defined in the YAML config), and each microservice does what (defined in the component-wise YAML config)*. +- GNES requires an orchestration engine to coordinate all microservices. It supports Kubernetes, Docker Swarm and a shell-based multi-process solution. +- [GNES Board](https://board.gnes.ai) is a convenient tool for visualizing the workflow, generating starting script or cloud configuration. +- The real power of GNES is elasticity on every level. Router is automatically added between microservices for connecting the pieces together. +#### What's next? + +The next step is feeding data to GNES for training, indexing and querying. Checkout the [tutorials](#tutorial) and [documentations](#documentation) for more details. +

Documentation

[![ReadTheDoc](https://readthedocs.org/projects/gnes/badge/?version=latest&style=for-the-badge)](https://doc.gnes.ai) From c5960350e5b8efc383743a658b202d790a21c036 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 21:06:50 +0800 Subject: [PATCH 31/49] doc(readme): add quick start for readme --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index cd6af2c4..d215da6c 100644 --- a/README.md +++ b/README.md @@ -152,13 +152,13 @@ Either way, if you see the following message after `$ gnes` or `$ docker run gne

Getting Started

-- [🐣 Preliminaries](#---preliminaries) +- [🐣 Preliminaries](#-preliminaries) * [Microservice](#microservice) * [Runtime](#runtime) - [Build your first GNES app](#build-your-first-gnes-app) - [Scale your GNES app](#scale-your-gnes-app) -- [A Short Recap](#a-short-recap) - * [What's next?](#what-s-next-) +- [Take-home messages](#take-home-messages) + * [What's next?](#whats-next) ### 🐣 Preliminaries From fa0c63fe44c26c600fc67e304a17c0b9e75a8fdc Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Tue, 23 Jul 2019 21:10:00 +0800 Subject: [PATCH 32/49] doc(readme): add quick start for readme --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index d215da6c..3634a075 100644 --- a/README.md +++ b/README.md @@ -158,7 +158,7 @@ Either way, if you see the following message after `$ gnes` or `$ docker run gne - [Build your first GNES app](#build-your-first-gnes-app) - [Scale your GNES app](#scale-your-gnes-app) - [Take-home messages](#take-home-messages) - * [What's next?](#whats-next) + * [πŸ‘¨β€πŸ’»οΈWhat's next?](#-whats-next) ### 🐣 Preliminaries @@ -415,7 +415,7 @@ Now that you know how to compose and run a GNES app, let's make a short recap of - The real power of GNES is elasticity on every level. Router is automatically added between microservices for connecting the pieces together. -#### What's next? +#### πŸ‘¨β€πŸ’»οΈ What's next? The next step is feeding data to GNES for training, indexing and querying. Checkout the [tutorials](#tutorial) and [documentations](#documentation) for more details. From 135d3448d09cce535a2c9342dda8d00d3f44c27b Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Wed, 24 Jul 2019 11:05:42 +0800 Subject: [PATCH 33/49] doc(readme): add quick start for readme --- .github/mermaid-diagram-20190724110437.svg | 399 +++++++++++++++++++++ README.md | 26 ++ 2 files changed, 425 insertions(+) create mode 100644 .github/mermaid-diagram-20190724110437.svg diff --git a/.github/mermaid-diagram-20190724110437.svg b/.github/mermaid-diagram-20190724110437.svg new file mode 100644 index 00000000..574a6348 --- /dev/null +++ b/.github/mermaid-diagram-20190724110437.svg @@ -0,0 +1,399 @@ +
push/pull
push/pull
push/pull
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gRPCFrontend
Preprocessor0
Preprocessor1
\ No newline at end of file diff --git a/README.md b/README.md index 3634a075..2c4acb29 100644 --- a/README.md +++ b/README.md @@ -403,6 +403,32 @@ The output should looks like follows: This suggests the GNES app is ready and waiting for the incoming data. You may now feed data to it through the `gRPCFrontend`. Depending on your language (Python, C, Java, Go, HTTP, Shell, etc.) and the content form (image, video, text, etc), the data feeding part can be slightly different. +### Customize GNES on your need + +With the help of GNES Board, you can easily compose a GNES app for different purposes. The table below summarizes some common compositions with the corresponding workflow visualizations. Note, we hide the component-wise YAML config (i.e. `yaml_path`) for the sake of clarity. + + + + + + + + + +
YAML configGNES workflow (generated by GNES board)
+Parallel preprocessing only +
+port: 5566
+services:
+- name: Preprocessor
+  replicas: 2
+   
+
+ GNES workflow of example 3 +
+ + + ### Take-home messages From 88e79517bf3d61f63b9526fe5b0cd373786875b0 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Wed, 24 Jul 2019 11:21:02 +0800 Subject: [PATCH 34/49] doc(readme): add quick start for readme --- .github/mermaid-diagram-20190724111007.svg | 399 +++++++++++++++++++++ .github/mermaid-diagram-20190724111344.svg | 399 +++++++++++++++++++++ .github/mermaid-diagram-20190724112032.svg | 399 +++++++++++++++++++++ README.md | 51 +++ 4 files changed, 1248 insertions(+) create mode 100644 .github/mermaid-diagram-20190724111007.svg create mode 100644 .github/mermaid-diagram-20190724111344.svg create mode 100644 .github/mermaid-diagram-20190724112032.svg diff --git a/.github/mermaid-diagram-20190724111007.svg b/.github/mermaid-diagram-20190724111007.svg new file mode 100644 index 00000000..ec4a58b1 --- /dev/null +++ b/.github/mermaid-diagram-20190724111007.svg @@ -0,0 +1,399 @@ +
push/pull
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gRPCFrontend
Preprocessor0
Preprocessor1
Preprocessor2
Encoder
\ No newline at end of file diff --git a/.github/mermaid-diagram-20190724111344.svg b/.github/mermaid-diagram-20190724111344.svg new file mode 100644 index 00000000..00b99c1c --- /dev/null +++ b/.github/mermaid-diagram-20190724111344.svg @@ -0,0 +1,399 @@ +
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gRPCFrontend
Preprocessor
Encoder
Indexer0
Indexer1
Indexer2
\ No newline at end of file diff --git a/.github/mermaid-diagram-20190724112032.svg b/.github/mermaid-diagram-20190724112032.svg new file mode 100644 index 00000000..61cd9d66 --- /dev/null +++ b/.github/mermaid-diagram-20190724112032.svg @@ -0,0 +1,399 @@ +
push/pull
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pub/sub
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Router
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Router
\ No newline at end of file diff --git a/README.md b/README.md index 2c4acb29..465e0dbb 100644 --- a/README.md +++ b/README.md @@ -425,6 +425,57 @@ services: GNES workflow of example 3 + + +Training an encoder +
+port: 5566
+services:
+- name: Preprocessor
+  replicas: 3
+- name: Encoder
+   
+ + + GNES workflow of example 4 + + + + +Vector-only indexing with 3 shards +
+port: 5566
+services:
+- name: Preprocessor
+- name: Encoder
+- name: Indexer
+  replicas: 3
+   
+ + + GNES workflow of example 5 + + + + +Query-time with 2 vector-index shards and 3 full-text-index shards +
+port: 5566
+services:
+- name: Preprocessor
+- name: Encoder
+- name: Indexer
+  income: sub
+  replicas: 2
+- name: Indexer
+  income: sub
+  replicas: 3
+   
+ + + GNES workflow of example 5 + + From 7350ebcb4c271ff50ea8ed0bcdd9ace05d4eec3e Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Wed, 24 Jul 2019 11:24:29 +0800 Subject: [PATCH 35/49] doc(readme): add quick start for readme --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 465e0dbb..0865f6ce 100644 --- a/README.md +++ b/README.md @@ -422,7 +422,7 @@ services: - GNES workflow of example 3 + GNES workflow of example 3 @@ -437,7 +437,7 @@ services: - GNES workflow of example 4 + GNES workflow of example 4 @@ -453,7 +453,7 @@ services: - GNES workflow of example 5 + GNES workflow of example 5 From 139a02d91983a07eac4d8a9650b1ab48946fc864 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Wed, 24 Jul 2019 11:55:19 +0800 Subject: [PATCH 36/49] fix(compose): fix compose bug of pub-sub rule, duplicate yaml_path --- README.md | 7 ++++--- gnes/composer/base.py | 25 ++++++++++++------------- gnes/resources/compose/gnes-board.html | 4 ++-- tests/test_compose.py | 10 ++++++++++ 4 files changed, 28 insertions(+), 18 deletions(-) diff --git a/README.md b/README.md index 0865f6ce..b4bf82fd 100644 --- a/README.md +++ b/README.md @@ -157,6 +157,7 @@ Either way, if you see the following message after `$ gnes` or `$ docker run gne * [Runtime](#runtime) - [Build your first GNES app](#build-your-first-gnes-app) - [Scale your GNES app](#scale-your-gnes-app) +- [Customize GNES on your need](#customize-gnes-on-your-need) - [Take-home messages](#take-home-messages) * [πŸ‘¨β€πŸ’»οΈWhat's next?](#-whats-next) @@ -422,7 +423,7 @@ services: - GNES workflow of example 3 + GNES workflow of example 3 @@ -442,7 +443,7 @@ services: -Vector-only indexing with 3 shards +Index-time with 3 vector-index shards
 port: 5566
 services:
@@ -458,7 +459,7 @@ services:
 
 
 
-Query-time with 2 vector-index shards and 3 full-text-index shards
+Query-time with 2 vector-index shards followed by 3 full-text-index shards
    
 port: 5566
 services:
diff --git a/gnes/composer/base.py b/gnes/composer/base.py
index 6070a87f..548c1b44 100644
--- a/gnes/composer/base.py
+++ b/gnes/composer/base.py
@@ -22,7 +22,6 @@
 from pkg_resources import resource_stream
 from ruamel.yaml import YAML, StringIO
 from ruamel.yaml.comments import CommentedMap
-from termcolor import colored
 
 from .. import __version__
 from ..cli.parser import set_grpc_frontend_parser, \
@@ -104,7 +103,7 @@ def __init__(self, args):
             tmp = _yaml.load(args.yaml_path)
             stream = StringIO()
             _yaml.dump(tmp, stream)
-            self.original_yaml = stream.getvalue()
+            self.original_yaml = stream.getvalue().strip()
 
         self._name = tmp.get('name', args.name)
         self._port = tmp.get('port', args.port)
@@ -173,7 +172,7 @@ def build_dockerswarm(all_layers: List['YamlComposer.Layer'], docker_img: str =
             for c_idx, c in enumerate(layer.components):
                 c_name = '%s%d%d' % (c['name'], l_idx, c_idx)
                 args = ['--%s %s' % (a, str(v) if ' ' not in str(v) else ('"%s"' % str(v))) for a, v in c.items() if
-                        a in YamlComposer.comp2args[c['name']] and v]
+                        a in YamlComposer.comp2args[c['name']] and a != 'yaml_path' and v]
                 if 'yaml_path' in c and c['yaml_path'] is not None:
                     args.append('--yaml_path /%s_yaml' % c_name)
                     config_dict['%s_yaml' % c_name] = {'file': c['yaml_path']}
@@ -235,7 +234,7 @@ def build_dockerswarm(all_layers: List['YamlComposer.Layer'], docker_img: str =
         swarm_lines['configs'] = config_dict
         stream = StringIO()
         _yaml.dump(swarm_lines, stream)
-        return stream.getvalue()
+        return stream.getvalue().strip()
 
     @staticmethod
     def build_kubernetes(all_layers: List['YamlComposer.Layer'], *args, **kwargs):
@@ -247,8 +246,8 @@ def build_shell(all_layers: List['YamlComposer.Layer'], log_redirect: str = None
         for layer in all_layers:
             for c in layer.components:
                 rep_c = YamlComposer.Layer.get_value(c, 'replicas')
-                shell_lines.append('printf "starting service %s with %s replicas...\\n"' % (
-                    colored(c['name'], 'green'), colored(rep_c, 'yellow')))
+                shell_lines.append('printf "starting service \\e[1;33m%s\\e[0m with \e[1;33m%s\e[0m replicas...\\n"' % (
+                    c['name'], rep_c))
                 for _ in range(rep_c):
                     cmd = YamlComposer.comp2file[c['name']]
                     args = ' '.join(
@@ -258,7 +257,7 @@ def build_shell(all_layers: List['YamlComposer.Layer'], log_redirect: str = None
                         cmd, args, '>> %s 2>&1' % log_redirect if log_redirect else ''))
 
         with resource_stream('gnes', '/'.join(('resources', 'compose', 'gnes-shell.sh'))) as r:
-            return r.read().decode().replace('{{gnes-template}}', '\n'.join(shell_lines))
+            return r.read().decode().replace('{{gnes-template}}', '\n'.join(shell_lines)).strip()
 
     @staticmethod
     def build_mermaid(all_layers: List['YamlComposer.Layer'], mermaid_leftright: bool = False) -> str:
@@ -301,7 +300,7 @@ def build_mermaid(all_layers: List['YamlComposer.Layer'], mermaid_leftright: boo
         class_def = ['class %s %s;' % (','.join(v), k) for k, v in cls_dict.items()]
         mermaid_str = '\n'.join(
             ['graph %s' % ('LR' if mermaid_leftright else 'TD')] + mermaid_graph + style + class_def)
-        return mermaid_str
+        return mermaid_str.strip()
 
     @staticmethod
     def build_html(generate_dict: Dict[str, str]) -> str:
@@ -310,7 +309,7 @@ def build_html(generate_dict: Dict[str, str]) -> str:
             for k, v in generate_dict.items():
                 if v:
                     html = html.replace('{{gnes-%s}}' % k, v)
-        return html
+        return html.strip()
 
     def build_all(self):
         def std_or_print(f, content):
@@ -516,13 +515,13 @@ def rule9():
                 rule1()
             elif layer.is_homo_multi_component:
                 # 1-to-(N)
-                last_income = self.Layer.get_value(last_layer.components[0], 'income')
-                if last_income == 'pull':
+                income = self.Layer.get_value(layer.components[0], 'income')
+                if income == 'pull':
                     rule1()
-                elif last_income == 'sub':
+                elif income == 'sub':
                     rule2()
                 else:
-                    raise NotImplementedError('replica type: %s is not recognized!' % last_income)
+                    raise NotImplementedError('replica type: %s is not recognized!' % income)
             elif layer.is_heto_single_component:
                 # 1-to-(1)&(1)&(1)
                 rule4()
diff --git a/gnes/resources/compose/gnes-board.html b/gnes/resources/compose/gnes-board.html
index 822048c7..0472b349 100644
--- a/gnes/resources/compose/gnes-board.html
+++ b/gnes/resources/compose/gnes-board.html
@@ -294,9 +294,9 @@
                             You can use it to start a Docker Swarm distributed on multiple machines.


1. Install Docker and Docker Swarm
- 2. Create a new file say my-compose.yml
+ 2. Create a new file say my-gnes.yml
3. Copy the following content to it
- 4. Run docker stack deploy --compose-file my-compose.yml.

+ 4. Run docker stack deploy --compose-file my-gnes.yml.

diff --git a/tests/test_compose.py b/tests/test_compose.py index 1d0372d0..c785da4e 100644 --- a/tests/test_compose.py +++ b/tests/test_compose.py @@ -33,6 +33,16 @@ def _test_topology(self, yaml_path: str, num_layer_before: int, num_layer_after: os.path.exists(self.html_path) print(a.build_dockerswarm(r)) + @unittest.SkipTest + def test_flask_local(self): + yaml_path = os.path.join(self.dirname, 'yaml', 'topology1.yml') + args = set_composer_flask_parser().parse_args([ + '--flask', + '--yaml_path', yaml_path, + '--html_path', self.html_path + ]) + YamlComposerFlask(args).run() + def test_flask(self): yaml_path = os.path.join(self.dirname, 'yaml', 'topology1.yml') args = set_composer_flask_parser().parse_args([ From 8cca42e7a1390ae5db6fec8b6482a2560a5c9243 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Wed, 24 Jul 2019 13:05:07 +0800 Subject: [PATCH 37/49] doc(readme): add quick start for readme --- .github/shell-success.svg | 91 +++++++++++++++++++++++++++++++++++++++ CONTRIBUTING.md | 2 +- Dockerfile | 2 +- README.md | 9 ++-- 4 files changed, 99 insertions(+), 5 deletions(-) create mode 100644 .github/shell-success.svg diff --git a/.github/shell-success.svg b/.github/shell-success.svg new file mode 100644 index 00000000..b2313f79 --- /dev/null +++ b/.github/shell-success.svg @@ -0,0 +1,91 @@ + + + + + + + + + + + + + + + # # b # ba # bas # bash # bash # bash r # bash ru # bash run # bash run. # bash run.s # bash run.sh # bash run.sh starting service gRPCFrontend with 1 replicas...starting service Preprocessor with 1 replicas...starting service Encoder with 1 replicas...starting service Indexer with 1 replicas...usage: /usr/local/bin/gnes encode --yaml_path gpt2.yml --port_in 55578 --socket_in PULL_CONNECT --port_out 63182 --socket_out PUSH_BIND__________________________________________________ cli = encodedump_interval = 5 host_in = 0.0.0.0 host_out = 0.0.0.0 port_ctrl = None port_in = 55578 port_out = 63182 read_only = False socket_in = PULL_CONNECT socket_out = PUSH_BIND timeout = -1 verbose = False yaml_path = <_io.TextIOWrapper name='gpt2.yml' mode='r' encoding='UTF-8'>I:EncoderService:[bas:_ru:244]:bind sockets...usage: /usr/local/bin/gnes index --yaml_path b-indexer.yml --port_in 63182 --socket_in PULL_CONNECT --port_out 59284 --socket_out PUSH_BIND cli = index port_in = 63182 port_out = 59284 yaml_path = <_io.TextIOWrapper name='b-indexer.yml' mode='r' encoding='UTF-8'>I:IndexerService:[bas:_ru:244]:bind sockets...usage: /usr/local/bin/gnes preprocess --yaml_path text-prep.yml --port_in 57480 --socket_in PULL_CONNECT --port_out 55578 --socket_out PUSH_BIND cli = preprocess host_out read_only = True yaml_path = <_io.TextIOWrapper name='text-prep.yml' mode='r' encoding='UTF-8'>I:PreprocessorService:[bas:_ru:244]:bind sockets...usage: /usr/local/bin/gnes frontend --grpc_port 5566 --port_out 57480 --socket_out PUSH_BIND --port_in 59284 --socket_in PULL_CONNECT cli = frontend grpc_host = 0.0.0.0 grpc_port = 5566max_concurrency = 10max_receive_size = 100max_send_size = 100 port_in = 59284 port_out = 57480 socket_in = PU I:GRPCFrontend:[grp:__i:150]:start a grpc server with 10 workersI:GRPCFrontend:[grp:__e:159]:grpc service is listening at: 0.0.0.0:5566I:IndexerService:[bas:_ru:256]:input 0.0.0.0:63182 output 0.0.0.0:59284 control over tcp://0.0.0.0:43721I:PreprocessorService:[bas:_ru:256]:input 0.0.0.0:57480 output 0.0.0.0:55578 control over tcp://0.0.0.0:37049I:EncoderService:[bas:_ru:256]:input 0.0.0.0:55578 output 0.0.0.0:63182 control over tcp://0.0.0.0:44653W:BIndexer:[__i:pos: 57]:fail to load model from /out_data/idx.binary, will create an empty oneI:BIndexer:[__i:_ge:317]:initialize BIndexer from a yaml configI:IndexerService:[bas:_ru:267]:ready and listeningW:GPT2Encoder:[__i:_po:174]:this object is not named ("- gnes_config: - name" is not found in YAML config), i will call it as "GPT2Encoder-1ec80858". naming the object is important especially when you need to serialize/deserialize/store/load the object.I:TextPreprocessor:[__i:_ge:317]:initialize TextPreprocessor from a yaml configI:PreprocessorService:[bas:_ru:267]:ready and listeningI:GPT2Encoder:[__i:_ge:317]:initialize GPT2Encoder from a yaml configW:PCALocalEncoder:[__i:_po:174]:this object is not named ("- gnes_config: - name" is not found in YAML config), i will call it as "PCALocalEncoder-23915bcb". naming the object is important especially when you need to serialize/deserialize/store/load the object.I:PCALocalEncoder:[__i:_ge:317]:initialize PCALocalEncoder from a yaml configW:PQEncoder:[__i:_po:174]:this object is not named ("- gnes_config: - name" is not found in YAML config), i will call it as "PQEncoder-80feaabf". naming the object is important especially when you need to serialize/deserialize/store/load the object.I:PQEncoder:[__i:_ge:317]:initialize PQEncoder from a yaml configI:PipelineEncoder:[__i:_ge:317]:initialize PipelineEncoder from a yaml configI:EncoderService:[bas:_ru:267]:ready and listening^C ^C# + \ No newline at end of file diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 03cc31f7..2e796476 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -82,7 +82,7 @@ docker pull gnes/ci-base To test GNES inside this image, you may run ```bash -docker run --entrypoint "/bin/bash" gnes/ci-base +docker run --network=host --rm --entrypoint "/bin/bash" -it gnes/ci-base # now you are inside the 'gnes/ci-base' container # first sync your local modification, then diff --git a/Dockerfile b/Dockerfile index 32992888..35b355ba 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,6 +1,6 @@ FROM gnes/build-base:latest AS dependency -WORKDIR /nes/ +WORKDIR /gnes/ COPY setup.py ./setup.py diff --git a/README.md b/README.md index b4bf82fd..43d75d1d 100644 --- a/README.md +++ b/README.md @@ -196,7 +196,7 @@ Let's start with a typical indexing procedure by writing a YAML config (see the port: 5566 services: - name: Preprocessor - yaml_path: text-prep.yaml + yaml_path: text-prep.yml - name: Encoder yaml_path: gpt2.yml - name: Indexer @@ -291,7 +291,7 @@ trap 'kill $(jobs -p)' EXIT printf "starting service gRPCFrontend with 0 replicas...\n" gnes frontend --grpc_port 5566 --port_out 49668 --socket_out PUSH_BIND --port_in 60654 --socket_in PULL_CONNECT & printf "starting service Preprocessor with 0 replicas...\n" -gnes preprocess --yaml_path text-prep.yaml --port_in 49668 --socket_in PULL_CONNECT --port_out 61911 --socket_out PUSH_BIND & +gnes preprocess --yaml_path text-prep.yml --port_in 49668 --socket_in PULL_CONNECT --port_out 61911 --socket_out PUSH_BIND & printf "starting service Encoder with 0 replicas...\n" gnes encode --yaml_path gpt2.yml --port_in 61911 --socket_in PULL_CONNECT --port_out 49947 --socket_out PUSH_BIND & printf "starting service Indexer with 0 replicas...\n" @@ -341,7 +341,7 @@ networks: attachable: true configs: Preprocessor10_yaml: - file: text-prep.yaml + file: text-prep.yml Encoder20_yaml: file: gpt2.yml Indexer30_yaml: @@ -352,6 +352,9 @@ configs: For the sake of simplicity, we will just use the generated shell-script to start GNES. Create a new file say `run.sh`, copy the content to it and run it via `$ bash ./run.sh`. You should see the output as follows: +

+success running GNES in shell +

This suggests the GNES app is ready and waiting for the incoming data. You may now feed data to it through the `gRPCFrontend`. Depending on your language (Python, C, Java, Go, HTTP, Shell, etc.) and the content form (image, video, text, etc), the data feeding part can be slightly different. From 2c7d8fd9f5dc05f7899e6b54b8b43b0412da2828 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Wed, 24 Jul 2019 13:09:33 +0800 Subject: [PATCH 38/49] doc(readme): add quick start for readme --- README.md | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) diff --git a/README.md b/README.md index 43d75d1d..1828c49f 100644 --- a/README.md +++ b/README.md @@ -75,7 +75,9 @@ GNES enables large-scale index and semantic search for text-to-text, image-to-im

Overview

+ component overview +

Install GNES

@@ -146,7 +148,9 @@ pip install gnes[all] Either way, if you see the following message after `$ gnes` or `$ docker run gnes/gnes`, then you are ready to go!

+ success installation of GNES +

@@ -353,7 +357,9 @@ configs: For the sake of simplicity, we will just use the generated shell-script to start GNES. Create a new file say `run.sh`, copy the content to it and run it via `$ bash ./run.sh`. You should see the output as follows:

+ success running GNES in shell +

This suggests the GNES app is ready and waiting for the incoming data. You may now feed data to it through the `gRPCFrontend`. Depending on your language (Python, C, Java, Go, HTTP, Shell, etc.) and the content form (image, video, text, etc), the data feeding part can be slightly different. @@ -388,7 +394,9 @@ services:
+ GNES workflow of example 2 + @@ -426,7 +434,9 @@ services:
+ GNES workflow of example 3 + @@ -441,7 +451,9 @@ services: + GNES workflow of example 4 + @@ -457,7 +469,9 @@ services: + GNES workflow of example 5 + @@ -477,7 +491,9 @@ services: + GNES workflow of example 5 + From 23ce7bb02e745a4452fac0c05e1d2460ac7c0773 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Wed, 24 Jul 2019 14:29:25 +0800 Subject: [PATCH 39/49] doc(readme): add quick start for readme --- .github/swarm-success.svg | 202 +++++++++++++++++++++++++ README.md | 27 +++- gnes/resources/compose/gnes-board.html | 2 +- 3 files changed, 226 insertions(+), 5 deletions(-) create mode 100644 .github/swarm-success.svg diff --git a/.github/swarm-success.svg b/.github/swarm-success.svg new file mode 100644 index 00000000..1285083a --- /dev/null +++ b/.github/swarm-success.svg @@ -0,0 +1,202 @@ + + + + + + + + + + + + + + + ubuntu@VM-0-3-ubuntu:/data/han$ ubuntu@VM-0-3-ubuntu:/data/han$ d ubuntu@VM-0-3-ubuntu:/data/han$ do ubuntu@VM-0-3-ubuntu:/data/han$ doc ubuntu@VM-0-3-ubuntu:/data/han$ dock ubuntu@VM-0-3-ubuntu:/data/han$ docke ubuntu@VM-0-3-ubuntu:/data/han$ docker ubuntu@VM-0-3-ubuntu:/data/han$ docker ubuntu@VM-0-3-ubuntu:/data/han$ docker s ubuntu@VM-0-3-ubuntu:/data/han$ docker st ubuntu@VM-0-3-ubuntu:/data/han$ docker sta ubuntu@VM-0-3-ubuntu:/data/han$ docker stac ubuntu@VM-0-3-ubuntu:/data/han$ docker stack ubuntu@VM-0-3-ubuntu:/data/han$ docker stack ubuntu@VM-0-3-ubuntu:/data/han$ docker stack d ubuntu@VM-0-3-ubuntu:/data/han$ docker stack de ubuntu@VM-0-3-ubuntu:/data/han$ docker stack dep ubuntu@VM-0-3-ubuntu:/data/han$ docker stack depl ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deplo ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy - ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy -- ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --c ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --co ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --com ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --comp ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compo ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compos ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose- ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-f ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-fi ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-fil ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-file ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-file ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-file m ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-file my ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-file my- ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-file my-g ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-file my-gn ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-file my-gne ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-file my-gnes ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-file my-gnes. ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-file my-gnes.y ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-file my-gnes.ym ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-file my-gnes.yml ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-file my-gnes.yml ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-file my-gnes.yml g ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-file my-gnes.yml gn ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-file my-gnes.yml gne ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-file my-gnes.yml gnes ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-file my-gnes.yml gnes- ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-file my-gnes.yml gnes-5 ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-file my-gnes.yml gnes-53 ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-file my-gnes.yml gnes-531 ubuntu@VM-0-3-ubuntu:/data/han$ docker stack deploy --compose-file my-gnes.yml gnes-531 Creating network gnes-531_defaultCreating config gnes-531_Indexer60_yamlCreating config gnes-531_Indexer61_yamlCreating config gnes-531_Preprocessor10_yamlCreating config gnes-531_Encoder30_yamlCreating service gnes-531_Indexer60Creating service gnes-531_gRPCFrontend00Creating service gnes-531_Router40Creating service gnes-531_Router20Creating service gnes-531_Router70Creating service gnes-531_Indexer61Creating service gnes-531_Preprocessor10Creating service gnes-531_Router50Creating service gnes-531_Router51Creating service gnes-531_Encoder30ubuntu@VM-0-3-ubuntu:/data/han$ docker se ubuntu@VM-0-3-ubuntu:/data/han$ docker ser ubuntu@VM-0-3-ubuntu:/data/han$ docker serv ubuntu@VM-0-3-ubuntu:/data/han$ docker servi ubuntu@VM-0-3-ubuntu:/data/han$ docker servic ubuntu@VM-0-3-ubuntu:/data/han$ docker service ubuntu@VM-0-3-ubuntu:/data/han$ docker service ubuntu@VM-0-3-ubuntu:/data/han$ docker service l ubuntu@VM-0-3-ubuntu:/data/han$ docker service ls ubuntu@VM-0-3-ubuntu:/data/han$ docker service ls ubuntu@VM-0-3-ubuntu:/data/han$ docker service ls - ubuntu@VM-0-3-ubuntu:/data/han$ docker service ls -f ubuntu@VM-0-3-ubuntu:/data/han$ docker service ls -f ubuntu@VM-0-3-ubuntu:/data/han$ docker service ls -f n ubuntu@VM-0-3-ubuntu:/data/han$ docker service ls -f na ubuntu@VM-0-3-ubuntu:/data/han$ docker service ls -f nam ubuntu@VM-0-3-ubuntu:/data/han$ docker service ls -f name ubuntu@VM-0-3-ubuntu:/data/han$ docker service ls -f name= ubuntu@VM-0-3-ubuntu:/data/han$ docker service ls -f name=g ubuntu@VM-0-3-ubuntu:/data/han$ docker service ls -f name=gn ubuntu@VM-0-3-ubuntu:/data/han$ docker service ls -f name=gne ubuntu@VM-0-3-ubuntu:/data/han$ docker service ls -f name=gnes ubuntu@VM-0-3-ubuntu:/data/han$ docker service ls -f name=gnes- ubuntu@VM-0-3-ubuntu:/data/han$ docker service ls -f name=gnes-5 ubuntu@VM-0-3-ubuntu:/data/han$ docker service ls -f name=gnes-53 ubuntu@VM-0-3-ubuntu:/data/han$ docker service ls -f name=gnes-531 ubuntu@VM-0-3-ubuntu:/data/han$ docker service ls -f name=gnes-531ID NAME MODE REPLICAS IMAGE PORTSo8m25sqsqa6i gnes-531_Encoder30 replicated 3/3 gnes/gnes:latest 4qru0rws7qnd gnes-531_Indexer60 replicated 4/4 gnes/gnes:latest u9z319tox5tc gnes-531_Indexer61 replicated 3/3 u9z319tox5tc gnes-531_Indexer61 replicated 3/3 gnes/gnes:latest jd609lnn40s0 gnes-531_Preprocessor10 replicated 2/2 gnes/gnes:latest vfvxvb44zzwl gnes-531_Router20 replicated 1/1 gnes/gnes:latest r4l483kdr0e7 gnes-531_Router40 replicated 1/1 gnes/gnes:latest abz1e15tri7i gnes-531_Router50 replicated 1/1 gnes/gnes:latest ulmp4shumngh gnes-531_Router51 replicated 1/1 gnes/gnes:latest 1br9fendu6en gnes-531_Router70 replicated 1/1 gnes/gnes:latest 35ayt2a1u8l6 gnes-531_gRPCFrontend00 replicated 1/1 gnes/gnes:latest *:5566->5566/tcpubuntu@VM-0-3-ubuntu:/data/han$ docker stack r ubuntu@VM-0-3-ubuntu:/data/han$ docker stack rm ubuntu@VM-0-3-ubuntu:/data/han$ docker stack rm ubuntu@VM-0-3-ubuntu:/data/han$ docker stack rm g ubuntu@VM-0-3-ubuntu:/data/han$ docker stack rm gn ubuntu@VM-0-3-ubuntu:/data/han$ docker stack rm gne ubuntu@VM-0-3-ubuntu:/data/han$ docker stack rm gnes ubuntu@VM-0-3-ubuntu:/data/han$ docker stack rm gnes- ubuntu@VM-0-3-ubuntu:/data/han$ docker stack rm gnes-5 ubuntu@VM-0-3-ubuntu:/data/han$ docker stack rm gnes-53 ubuntu@VM-0-3-ubuntu:/data/han$ docker stack rm gnes-531 ubuntu@VM-0-3-ubuntu:/data/han$ docker stack rm gnes-531Removing service gnes-531_Encoder30Removing service gnes-531_Indexer60Removing service gnes-531_Indexer61Removing service gnes-531_Preprocessor10Removing service gnes-531_Router20Removing service gnes-531_Router40Removing service gnes-531_Router50Removing service gnes-531_Router51Removing service gnes-531_Router70Removing service gnes-531_gRPCFrontend00Removing config gnes-531_Preprocessor10_yamlRemoving config gnes-531_Indexer61_yamlRemoving config gnes-531_Indexer60_yamlRemoving config gnes-531_Encoder30_yamlRemoving network gnes-531_defaultubuntu@VM-0-3-ubuntu:/data/han$ exit + \ No newline at end of file diff --git a/README.md b/README.md index 1828c49f..cb3c2c0d 100644 --- a/README.md +++ b/README.md @@ -364,6 +364,9 @@ For the sake of simplicity, we will just use the generated shell-script to start This suggests the GNES app is ready and waiting for the incoming data. You may now feed data to it through the `gRPCFrontend`. Depending on your language (Python, C, Java, Go, HTTP, Shell, etc.) and the content form (image, video, text, etc), the data feeding part can be slightly different. +To stop a running GNES, you can simply do control + c. + + ### Scale your GNES app Now let's juice it up a bit. To be honest, building a single-machine process-based pipeline is not impressive anyway. The true power of GNES is that you can scale any component at any time you want. Encoding is slow? Adding more machines. Preprocessing takes too long? More machines. Index file is too large? Adding shards, aka. more machines! @@ -407,15 +410,27 @@ Again, the detailed YAML config of each component is not important for understan This time we will run GNES via DockerSwarm. To do that simply copy the generated DockerSwarm YAML config to a file say `my-gnes.yml`, and then do ```bash -docker stack deploy --compose-file my-gnes.yml +docker stack deploy --compose-file my-gnes.yml gnes-531 ``` -The output should looks like follows: +Note that `gnes-531` is your GNES stack name, keep that name in mind. If you forget about that name, you can always use `docker stack ls` to find out. To tell whether the whole stack is running successfully or not, you can use `docker service ls -f name=gnes-531`. The number of replicas `1/1` or `4/4` suggests everything is fine. + +Generally, a complete and successful Docker Swarm starting process should look like the following: + +

+ +success running GNES in shell + +

This suggests the GNES app is ready and waiting for the incoming data. You may now feed data to it through the `gRPCFrontend`. Depending on your language (Python, C, Java, Go, HTTP, Shell, etc.) and the content form (image, video, text, etc), the data feeding part can be slightly different. -### Customize GNES on your need + +To stop a running GNES stack, you can use `docker stack rm gnes-531`. + + +### Customize GNES to your need With the help of GNES Board, you can easily compose a GNES app for different purposes. The table below summarizes some common compositions with the corresponding workflow visualizations. Note, we hide the component-wise YAML config (i.e. `yaml_path`) for the sake of clarity. @@ -524,7 +539,11 @@ The official documentation of GNES is hosted on [doc.gnes.ai](https://doc.gnes.a

Tutorial

-TBA +- How to write your GNES YAML config +- How to define a component-wise YAML config +- Migrating from [`bert-as-service`](https://github.com/hanxiao/bert-as-service) + +

Contributing

diff --git a/gnes/resources/compose/gnes-board.html b/gnes/resources/compose/gnes-board.html index 0472b349..ee9a2fc7 100644 --- a/gnes/resources/compose/gnes-board.html +++ b/gnes/resources/compose/gnes-board.html @@ -296,7 +296,7 @@

1. Install Docker and Docker Swarm
2. Create a new file say my-gnes.yml
3. Copy the following content to it
- 4. Run docker stack deploy --compose-file my-gnes.yml.

+ 4. Run docker stack deploy --compose-file my-gnes.yml gnes-531.

From a23a04c129d9a6ec718ea237cdae6bab3a25d775 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Wed, 24 Jul 2019 14:59:54 +0800 Subject: [PATCH 40/49] doc(readme): add quick start for readme --- README.md | 44 +++++++++++++++++++++++++++++--------------- 1 file changed, 29 insertions(+), 15 deletions(-) diff --git a/README.md b/README.md index cb3c2c0d..ab2a2802 100644 --- a/README.md +++ b/README.md @@ -424,7 +424,7 @@ Generally, a complete and successful Docker Swarm starting process should look l

-This suggests the GNES app is ready and waiting for the incoming data. You may now feed data to it through the `gRPCFrontend`. Depending on your language (Python, C, Java, Go, HTTP, Shell, etc.) and the content form (image, video, text, etc), the data feeding part can be slightly different. +When the GNES stack is ready and waiting for the incoming data, you may now feed data to it through the `gRPCFrontend`. Depending on your language (Python, C, Java, Go, HTTP, Shell, etc.) and the content form (image, video, text, etc), the data feeding part can be slightly different. To stop a running GNES stack, you can use `docker stack rm gnes-531`. @@ -539,15 +539,28 @@ The official documentation of GNES is hosted on [doc.gnes.ai](https://doc.gnes.a

Tutorial

+> 🚧 Tutorial is still under construction. Stay tuned! Meanwhile, we sincerely welcome you to contribute your own learning experience / case study with GNES! + - How to write your GNES YAML config -- How to define a component-wise YAML config +- How to write a component-wise YAML config +- Understanding preprocessor, encoder, indexer and router - Migrating from [`bert-as-service`](https://github.com/hanxiao/bert-as-service) +- Index and query text data with GNES +- Index and query image data with GNES +- Index and query video data with GNES +- Using GNES with Kubernetes +- Using GNES in other language (besides Python) +- Model-as-plugin: write your own component +

Contributing

+Thanks for your interest in contributing! GNES always welcome the contribution from the open-source community, individual committers and other partners. Without you, GNES can't be successful. -

Contributing

+Currently there are two major directions of contribution: +- **Porting state-of-the-art models to GNES**. This includes new preprocessing algorithms, new DNN networks for encoding, and new high-performance index. Believe me, it is super easy to wrap an algorithm and use it in GNES. Checkout this example. +- **Adding tutorial and learning experience**. What is good and what can be improved? If you apply GNES in your domain, whether it's about NLP or CV, whether it's a blog post or a Reddit/Twitter thread, we are always eager to know your thoughts. -Thanks for your interest in contributing! +Make sure to read the contributor guidelines before your first commit. - [Contributor guidelines](./CONTRIBUTING.md) - [Open issues](/issues) @@ -555,19 +568,20 @@ Thanks for your interest in contributing! For contributors looking to get deeper into the API we suggest cloning the repository and checking out the unit tests for examples of how to call methods. - - -

Citing GNES

-```latex -@misc{tencent2019GNES, - title={GNES: Generic Neural Elastic Search}, - author={Xiao, Han and Yan, Jianfeng and Wang, Feng and Fu, Jie}, - howpublished={\url{https://github.com/gnes-ai}}, - year={2019} -} -``` +If you use GNES in an academic paper, you are more than welcome to make a citation. Here are the two ways of citing GNES: + +1. \footnote{https://github.com/gnes-ai/gnes} +2. + ```latex + @misc{tencent2019GNES, + title={GNES: Generic Neural Elastic Search}, + author={Xiao, Han and Yan, Jianfeng and Wang, Feng and Fu, Jie}, + howpublished={\url{https://github.com/gnes-ai}}, + year={2019} + } + ```

License

From 43bf8b055338663189197c1382f226607e5b1629 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Wed, 24 Jul 2019 15:04:25 +0800 Subject: [PATCH 41/49] doc(readme): add quick start for readme --- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index ab2a2802..d66b6fbd 100644 --- a/README.md +++ b/README.md @@ -585,9 +585,9 @@ If you use GNES in an academic paper, you are more than welcome to make a citati

License

-Tencent is pleased to support the open source community by making GNES -available. +If you have downloaded a copy of the GNES binary or source code, please note that the GNES binary and source code are both licensed under the [Apache License, Version 2.0](./LICENSE). + +Tencent is pleased to support the open source community by making GNES available.
Copyright (C) 2019 THL A29 Limited, a Tencent company. All rights reserved. - -If you have downloaded a copy of the GNES binary or source code, please note that the GNES binary and source code are both licensed under the [Apache License, Version 2.0](./LICENSE). \ No newline at end of file +
From b5081ec3234ae9723e1324cd5eb8f021d0b4e054 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Wed, 24 Jul 2019 15:10:37 +0800 Subject: [PATCH 42/49] doc(readme): add quick start for readme --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index d66b6fbd..41217f8f 100644 --- a/README.md +++ b/README.md @@ -44,7 +44,7 @@ GNES [jee-nes] is **Generic Neural Elastic Search**, a cloud-native semantic search system based on deep neural network. -GNES enables large-scale index and semantic search for text-to-text, image-to-image, video-to-video and possibly any-to-any content form. +GNES enables large-scale index and semantic search for **text-to-text**, **image-to-image**, **video-to-video** and *any-to-any* content form.

Highlights

From 28755c1485115f64edf118f98fd18e6e53b83728 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Wed, 24 Jul 2019 15:12:11 +0800 Subject: [PATCH 43/49] doc(readme): add quick start for readme --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 41217f8f..5a4a8f75 100644 --- a/README.md +++ b/README.md @@ -84,7 +84,7 @@ GNES enables large-scale index and semantic search for **text-to-text**, **image There are two ways to get GNES, either as a Docker image or as a PyPi package. -βœ… For cloud users, we **highly recommend using GNES via Docker image**. +> βœ… For cloud users, we **highly recommend using GNES via Docker image**. ### Run GNES as a Docker Container @@ -161,7 +161,7 @@ Either way, if you see the following message after `$ gnes` or `$ docker run gne * [Runtime](#runtime) - [Build your first GNES app](#build-your-first-gnes-app) - [Scale your GNES app](#scale-your-gnes-app) -- [Customize GNES on your need](#customize-gnes-on-your-need) +- [Customize GNES on your need](#customize-gnes-to-your-need) - [Take-home messages](#take-home-messages) * [πŸ‘¨β€πŸ’»οΈWhat's next?](#-whats-next) From e940e549a117a9bd966d2c99b2cdc80da0159226 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Wed, 24 Jul 2019 15:18:38 +0800 Subject: [PATCH 44/49] doc(readme): add quick start for readme --- README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 5a4a8f75..fe1eccee 100644 --- a/README.md +++ b/README.md @@ -159,8 +159,8 @@ Either way, if you see the following message after `$ gnes` or `$ docker run gne - [🐣 Preliminaries](#-preliminaries) * [Microservice](#microservice) * [Runtime](#runtime) -- [Build your first GNES app](#build-your-first-gnes-app) -- [Scale your GNES app](#scale-your-gnes-app) +- [Build your first GNES app on local machine](#build-your-first-gnes-app-on-local-machine) +- [Scale your GNES app to the cloud](#scale-your-gnes-app-to-the-cloud) - [Customize GNES on your need](#customize-gnes-to-your-need) - [Take-home messages](#take-home-messages) * [πŸ‘¨β€πŸ’»οΈWhat's next?](#-whats-next) @@ -186,7 +186,7 @@ Okay, now that we have a bunch of apps, what are we expecting them to do? In a t πŸ’‘ The key to understand GNES is to know *which runtime requires what microservices, and each microservice does what*. -### Build your first GNES app +### Build your first GNES app on local machine Let's start with a typical indexing procedure by writing a YAML config (see the left column of the table): @@ -213,7 +213,7 @@ services: -The YAML config should be pretty intuitive. It defines a pipeline workflow consists of preprocessing, encoding and indexing, where the output of the former component is the input of the next. For each component, we also associate it with a YAML config specifying how it should work. Right now they are not important for understanding the big picture, nonetheless curious readers can checkout how each YAML looks like by expanding the items below. +Now let's see what the YAML config says. First impression, it is pretty intuitive. It defines a pipeline workflow consists of preprocessing, encoding and indexing, where the output of the former component is the input of the next. This pipeline is a typical workflow of *index* or *query* runtime. Under each component, we also associate it with a YAML config specifying how it should work. Right now they are not important for understanding the big picture, nonetheless curious readers can checkout how each YAML looks like by expanding the items below.
Preprocessor config: text-prep.yml (click to expand...) @@ -367,7 +367,7 @@ This suggests the GNES app is ready and waiting for the incoming data. You may n To stop a running GNES, you can simply do control + c. -### Scale your GNES app +### Scale your GNES app to the cloud Now let's juice it up a bit. To be honest, building a single-machine process-based pipeline is not impressive anyway. The true power of GNES is that you can scale any component at any time you want. Encoding is slow? Adding more machines. Preprocessing takes too long? More machines. Index file is too large? Adding shards, aka. more machines! From 3691f9bbd0c3239ff9fbf34f81c333f70add28b7 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Wed, 24 Jul 2019 16:02:33 +0800 Subject: [PATCH 45/49] doc(readme): add quick start for readme --- README.md | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index fe1eccee..474d6b23 100644 --- a/README.md +++ b/README.md @@ -274,7 +274,7 @@ gnes_config: On the right side of the above table, you can see how the actual data flow looks like. There is an additional component `gRPCFrontend` automatically added to the workflow, it allows you to feed the data and fetch the result via gRPC protocol through port `5566`. -Now it's time to run! [GNES board](https://board.gnes.ai) can automatically generate a starting script/config based on the YAML config you give. As a cloud-native application, GNES requires an **orchestration engine** to coordinate all micro-services. We support Kubernetes, Docker Swarm and shell-based multi-process. Let's see what the generated script looks like in this case. +Now it's time to run! [GNES board](https://board.gnes.ai) can automatically generate a starting script/config based on the YAML config you give, saving troubles of writing them on your own.

@@ -282,6 +282,9 @@ Now it's time to run! [GNES board](https://board.gnes.ai) can automatically gene

+> πŸ’‘ You can also start a GNES board locally. Simply run `docker run -d -p 0.0.0.0:80:8080/tcp gnes/gnes compose --flask` + +As a cloud-native application, GNES requires an **orchestration engine** to coordinate all micro-services. We support Kubernetes, Docker Swarm and shell-based multi-process. Let's see what the generated script looks like in this case.
Shell-based starting script (click to expand...) @@ -544,13 +547,14 @@ The official documentation of GNES is hosted on [doc.gnes.ai](https://doc.gnes.a - How to write your GNES YAML config - How to write a component-wise YAML config - Understanding preprocessor, encoder, indexer and router -- Migrating from [`bert-as-service`](https://github.com/hanxiao/bert-as-service) - Index and query text data with GNES - Index and query image data with GNES - Index and query video data with GNES - Using GNES with Kubernetes - Using GNES in other language (besides Python) +- Serves HTTP-request with GNES in an end-to-end way - Model-as-plugin: write your own component +- Migrating from [`bert-as-service`](https://github.com/hanxiao/bert-as-service)

Contributing

From 21a6699b3575e6f898b116b2f001856a8b58aa20 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Wed, 24 Jul 2019 17:46:46 +0800 Subject: [PATCH 46/49] doc(readme): add quick start for readme --- .../gnes-logo-square-blue-on-white-tight.svg | 1 + CONTRIBUTING.md | 15 ++ README.md | 5 +- docs/_static/main.css | 141 ++++++++++++++++++ docs/chapter/microservice.rst | 14 +- docs/conf.py | 7 +- docs/index.rst | 71 +++++++-- 7 files changed, 227 insertions(+), 27 deletions(-) create mode 100644 .github/gnes-logo-square-blue-on-white-tight.svg create mode 100644 docs/_static/main.css diff --git a/.github/gnes-logo-square-blue-on-white-tight.svg b/.github/gnes-logo-square-blue-on-white-tight.svg new file mode 100644 index 00000000..dee07192 --- /dev/null +++ b/.github/gnes-logo-square-blue-on-white-tight.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 2e796476..49e7a898 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -1,5 +1,20 @@ # Contributing to GNES +πŸ™‡ Thanks for your interest in contributing! GNES always welcome the contribution from the open-source community, individual committers and other partners. Without you, GNES can't be successful. + +Currently there are three major directions of contribution: +- **Porting state-of-the-art models to GNES**. This includes new preprocessing algorithms, new DNN networks for encoding, and new high-performance index. Believe me, it is super easy to wrap an algorithm and use it in GNES. Checkout this example. +- **Adding tutorial and learning experience**. What is good and what can be improved? If you apply GNES in your domain, whether it's about NLP or CV, whether it's a blog post or a Reddit/Twitter thread, we are always eager to hear your thoughts. +- **Completing the user experience of other programming languages**. GNES offers a generic interface with gRPC and protobuf, therefore it is easy to add an interface for other languages, e.g. Java, C, Go. + +## Table of Content + +* [Commit Message Naming](#commit-message-naming) +* [Merging Process](#merging-process) +* [Release Process](#release-process) + - [Major and minor version increments](#major-and-minor-version-increments) +* [Testing Locally](#testing-locally) + ## Commit Message Naming To help everyone with understanding the commit history of GNES, we employ [`commitlint`](https://commitlint.js.org/#/) in the CI pipeline to enforce the commit styles. Specifically, our convention is: diff --git a/README.md b/README.md index 474d6b23..5b72a59a 100644 --- a/README.md +++ b/README.md @@ -560,9 +560,10 @@ The official documentation of GNES is hosted on [doc.gnes.ai](https://doc.gnes.a Thanks for your interest in contributing! GNES always welcome the contribution from the open-source community, individual committers and other partners. Without you, GNES can't be successful. -Currently there are two major directions of contribution: +Currently there are three major directions of contribution: - **Porting state-of-the-art models to GNES**. This includes new preprocessing algorithms, new DNN networks for encoding, and new high-performance index. Believe me, it is super easy to wrap an algorithm and use it in GNES. Checkout this example. -- **Adding tutorial and learning experience**. What is good and what can be improved? If you apply GNES in your domain, whether it's about NLP or CV, whether it's a blog post or a Reddit/Twitter thread, we are always eager to know your thoughts. +- **Adding tutorial and learning experience**. What is good and what can be improved? If you apply GNES in your domain, whether it's about NLP or CV, whether it's a blog post or a Reddit/Twitter thread, we are always eager to hear your thoughts. +- **Completing the user experience of other programming languages**. GNES offers a generic interface with gRPC and protobuf, therefore it is easy to add an interface for other languages, e.g. Java, C, Go. 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They communicate via versioned APIs and collaborate under the orchestration of Docker Swarm/Kubernetes etc. Scaling, load-balancing, automated recovering, they come off-the-shelf in GNES. - - -.. image:: ../../.github/gnes-all-in-ms.svg - :align: center - :width: 500px - -| - +All Microservices in GNES +========================= .. argparse:: :ref: gnes.cli.parser.get_main_parser diff --git a/docs/conf.py b/docs/conf.py index d1789ba9..90ae1de6 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -22,7 +22,7 @@ project = 'GNES Documentation' copyright = '2019. Han Xiao, Jianfeng Yan, Feng Wang, Jie Fu' -author = 'Han Xiao' +author = 'Han Xiao (https://hanxiao.github.io)' try: @@ -110,6 +110,9 @@ # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] +html_logo = '../.github/gnes-logo-square-blue-on-white-tight.svg' + +html_css_files = ['main.css'] # Custom sidebar templates, must be a dictionary that maps document names # to template names. # @@ -152,7 +155,7 @@ # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'GNES.tex', 'GNES Documentation', - 'Han Xiao, Feng Wang, Jianfeng Yan', 'manual'), + 'Han Xiao, Feng Wang, Jianfeng Yan, Jie Fu', 'manual'), ] diff --git a/docs/index.rst b/docs/index.rst index 7f095751..02aa6ca6 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -3,36 +3,85 @@ You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. -GNES -==== +GNES is Generic Neural Elastic Search +===================================== -GNES is a cloud-native semantic search end-to-end solution based on deep neural network. It enables indexing and searching similar texts, images, videos in large scale on the cloud infrastructure. - - -.. image:: ../.github/gnes-component-overview.svg +.. image:: ../.github/gnes-github-banner.png :align: center | +GNES *jee-nes* is **Generic Neural Elastic Search**, a cloud-native semantic search system based on deep neural network. + +GNES enables large-scale index and semantic search for **text-to-text**, **image-to-image**, **video-to-video** and *any-to-any* content form. + + +Highlights +---------- + +.. raw:: html + +
+ + + + + + + + + + + + + + + + + + + + + +

☁️

Cloud-Native & Elastic

🐣

Easy-to-Use

πŸ”¬

State-of-the-Art

GNES is all-in-microservice! Encoder, indexer, preprocessor and router are all running in their own containers. They communicate via versioned APIs and collaborate under the orchestration of Docker Swarm/Kubernetes etc. Scaling, load-balancing, automated recovering, they come off-the-shelf in GNES.How long would it take to deploy a change that involves just switching a layer in VGG? In GNES, this is just one line change in a YAML file. We abstract the encoding and indexing logic to a YAML config, so that you can change or stack encoders and indexers without even touching the codebase.Taking advantage of fast-evolving AI/ML/NLP/CV communities, we learn from best-of-breed deep learning models and plug them into GNES, making sure you always enjoy the state-of-the-art performance.

🌌

Generic & Universal


πŸ“¦

Model as Plugin


πŸ’―

Best Practice

Searching for texts, image or even short-videos? Using Python/C/Java/Go/HTTP as the client? Doesn't matter which content form you have or which language do you use, GNES can handle them all. When built-in models do not meet your requirments, simply build your own with one Python file and one YAML file. No need to rebuilt GNES framework, as your models will be loaded as plugins and directly rollout online.We love to learn the best practice from the community, helping our GNES to achieve the next level of availability, resiliency, performance, and durability. If you have any ideas or suggestions, feel free to contribute.
+
+ +| +| -View by Microservices ---------------------- .. toctree:: :maxdepth: 3 + :caption: Microservices API chapter/microservice.rst -View by Packages ----------------- .. toctree:: :maxdepth: 3 + :caption: Module API api/gnes +.. toctree:: + :maxdepth: 2 + :caption: Contributing + + chapter/CONTRIBUTING.md + +.. toctree:: + :maxdepth: 1 + :caption: Changelog + + chapter/CHANGELOG.md + + Tutorials -========= +--------- + +.. warning:: + 🚧 Tutorial is still under construction. Stay tuned! Meanwhile, we sincerely welcome you to contribute your own learning experience / case study with GNES! + .. toctree:: :maxdepth: 1 From 45751e1f9b360c0247152b13f31a24f98de4a6e6 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Wed, 24 Jul 2019 17:52:42 +0800 Subject: [PATCH 47/49] docs(readme): add quick start for readme --- docs/chapter/CHANGELOG.md | 1 + docs/chapter/CONTRIBUTING.md | 1 + 2 files changed, 2 insertions(+) create mode 120000 docs/chapter/CHANGELOG.md create mode 120000 docs/chapter/CONTRIBUTING.md diff --git a/docs/chapter/CHANGELOG.md b/docs/chapter/CHANGELOG.md new file mode 120000 index 00000000..699cc9e7 --- /dev/null +++ b/docs/chapter/CHANGELOG.md @@ -0,0 +1 @@ +../../CHANGELOG.md \ No newline at end of file diff --git a/docs/chapter/CONTRIBUTING.md b/docs/chapter/CONTRIBUTING.md new file mode 120000 index 00000000..f939e75f --- /dev/null +++ b/docs/chapter/CONTRIBUTING.md @@ -0,0 +1 @@ +../../CONTRIBUTING.md \ No newline at end of file From a1a2b020ccd99f3e80d0adaad9e8c68c1220d592 Mon Sep 17 00:00:00 2001 From: hanhxiao Date: Wed, 24 Jul 2019 19:15:03 +0800 Subject: [PATCH 48/49] refactor(proto): refactor request stream call --- gnes/cli/parser.py | 3 +++ gnes/client/cli.py | 12 +++++----- gnes/client/http.py | 4 +--- gnes/proto/__init__.py | 14 +++++++++--- gnes/proto/gnes.proto | 6 ++--- gnes/proto/gnes_pb2.py | 21 +++++------------ gnes/proto/gnes_pb2_grpc.py | 37 +++++++++--------------------- gnes/service/grpc.py | 31 ++++++++++++------------- shell/make-proto.sh | 4 ++-- tests/test_stream_grpc.py | 45 +++++++++++++++++++++++++++++++++++++ 10 files changed, 99 insertions(+), 78 deletions(-) create mode 100644 tests/test_stream_grpc.py diff --git a/gnes/cli/parser.py b/gnes/cli/parser.py index b6aea372..ab08d760 100644 --- a/gnes/cli/parser.py +++ b/gnes/cli/parser.py @@ -206,10 +206,13 @@ def _set_grpc_parser(parser=None): def set_grpc_frontend_parser(parser=None): + from ..service.base import SocketType if not parser: parser = set_base_parser() _set_client_parser(parser) _set_grpc_parser(parser) + parser.set_defaults(socket_in=SocketType.PULL_BIND, + socket_out=SocketType.PUSH_BIND) parser.add_argument('--max_concurrency', type=int, default=10, help='maximum concurrent client allowed') parser.add_argument('--max_send_size', type=int, default=100, diff --git a/gnes/client/cli.py b/gnes/client/cli.py index 3a90b4aa..2b6a8b34 100644 --- a/gnes/client/cli.py +++ b/gnes/client/cli.py @@ -41,17 +41,15 @@ def __init__(self, args): stub = gnes_pb2_grpc.GnesRPCStub(channel) if args.mode == 'train': - for req in RequestGenerator.train(all_bytes, args.batch_size): - resp = stub._Call(req) - print(resp) + resp = stub.RequestStreamCall(RequestGenerator.train(all_bytes, args.batch_size)) + print(resp) elif args.mode == 'index': - for req in RequestGenerator.index(all_bytes, args.batch_size): - resp = stub._Call(req) - print(resp) + resp = stub.RequestStreamCall(RequestGenerator.train(all_bytes, args.batch_size)) + print(resp) elif args.mode == 'query': for idx, q in enumerate(all_bytes): for req in RequestGenerator.query(q, args.top_k): - resp = stub._Call(req) + resp = stub.Call(req) print(resp) print('query %d result: %s' % (idx, resp)) input('press any key to continue...') diff --git a/gnes/client/http.py b/gnes/client/http.py index fc1027cb..a66c05a0 100644 --- a/gnes/client/http.py +++ b/gnes/client/http.py @@ -91,9 +91,7 @@ async def init(loop): return srv def stub_call(req): - res_f = None - for r in req: - res_f = stub._Call(r) + res_f = stub.RequestStreamCall(req) return json.loads(MessageToJson(res_f)) with grpc.insecure_channel( diff --git a/gnes/proto/__init__.py b/gnes/proto/__init__.py index 058768fd..a13e11a9 100644 --- a/gnes/proto/__init__.py +++ b/gnes/proto/__init__.py @@ -28,33 +28,41 @@ class RequestGenerator: @staticmethod - def index(data: List[bytes], batch_size: int = 0, *args, **kwargs): + def index(data: List[bytes], batch_size: int = 0, start_id: int = 0, *args, **kwargs): + for pi in batch_iterator(data, batch_size): req = gnes_pb2.Request() + req.request_id = start_id for raw_bytes in pi: d = req.index.docs.add() d.raw_bytes = raw_bytes d.weight = 1.0 yield req + start_id += 1 @staticmethod - def train(data: List[bytes], batch_size: int = 0, *args, **kwargs): + def train(data: List[bytes], batch_size: int = 0, start_id: int = 0, *args, **kwargs): for pi in batch_iterator(data, batch_size): req = gnes_pb2.Request() + req.request_id = str(start_id) for raw_bytes in pi: d = req.train.docs.add() d.raw_bytes = raw_bytes yield req + start_id += 1 req = gnes_pb2.Request() + req.request_id = str(start_id) req.train.flush = True yield req + start_id += 1 @staticmethod - def query(query: bytes, top_k: int, *args, **kwargs): + def query(query: bytes, top_k: int, start_id: int = 0, *args, **kwargs): if top_k <= 0: raise ValueError('"top_k: %d" is not a valid number' % top_k) req = gnes_pb2.Request() + req.request_id = start_id req.search.query.raw_bytes = query req.search.top_k = top_k yield req diff --git a/gnes/proto/gnes.proto b/gnes/proto/gnes.proto index 8ca6df27..1ee72b89 100644 --- a/gnes/proto/gnes.proto +++ b/gnes/proto/gnes.proto @@ -205,11 +205,9 @@ service GnesRPC { } rpc Query (Request) returns (Response) { } - rpc _Call (Request) returns (Response) { + rpc Call (Request) returns (Response) { } - rpc TrainStream (stream Request) returns (Response) { - } - rpc IndexStream (stream Request) returns (Response) { + rpc RequestStreamCall (stream Request) returns (Response) { } } diff --git a/gnes/proto/gnes_pb2.py b/gnes/proto/gnes_pb2.py index 41ac07d0..b50bfb3d 100644 --- a/gnes/proto/gnes_pb2.py +++ b/gnes/proto/gnes_pb2.py @@ -21,7 +21,7 @@ package='gnes', syntax='proto3', serialized_options=None, - serialized_pb=_b('\n\ngnes.proto\x12\x04gnes\x1a\x1fgoogle/protobuf/timestamp.proto\"9\n\x07NdArray\x12\x0c\n\x04\x64\x61ta\x18\x01 \x01(\x0c\x12\x11\n\x05shape\x18\x02 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full_name='gnes.GnesRPC._Call', + name='Call', + full_name='gnes.GnesRPC.Call', index=3, containing_service=None, input_type=_REQUEST, @@ -1277,23 +1277,14 @@ serialized_options=None, ), _descriptor.MethodDescriptor( - name='TrainStream', - full_name='gnes.GnesRPC.TrainStream', + name='RequestStreamCall', + full_name='gnes.GnesRPC.RequestStreamCall', index=4, containing_service=None, input_type=_REQUEST, output_type=_RESPONSE, serialized_options=None, ), - _descriptor.MethodDescriptor( - name='IndexStream', - full_name='gnes.GnesRPC.IndexStream', - index=5, - containing_service=None, - input_type=_REQUEST, - output_type=_RESPONSE, - serialized_options=None, - ), ]) _sym_db.RegisterServiceDescriptor(_GNESRPC) diff --git a/gnes/proto/gnes_pb2_grpc.py b/gnes/proto/gnes_pb2_grpc.py index 905a8260..5d6b519e 100644 --- a/gnes/proto/gnes_pb2_grpc.py +++ b/gnes/proto/gnes_pb2_grpc.py @@ -29,18 +29,13 @@ def __init__(self, channel): request_serializer=gnes__pb2.Request.SerializeToString, response_deserializer=gnes__pb2.Response.FromString, ) - self._Call = channel.unary_unary( - '/gnes.GnesRPC/_Call', + self.Call = channel.unary_unary( + '/gnes.GnesRPC/Call', request_serializer=gnes__pb2.Request.SerializeToString, response_deserializer=gnes__pb2.Response.FromString, ) - self.TrainStream = channel.stream_unary( - '/gnes.GnesRPC/TrainStream', - request_serializer=gnes__pb2.Request.SerializeToString, - response_deserializer=gnes__pb2.Response.FromString, - ) - self.IndexStream = channel.stream_unary( - '/gnes.GnesRPC/IndexStream', + self.RequestStreamCall = channel.stream_unary( + '/gnes.GnesRPC/RequestStreamCall', request_serializer=gnes__pb2.Request.SerializeToString, response_deserializer=gnes__pb2.Response.FromString, ) @@ -72,21 +67,14 @@ def Query(self, request, context): context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') - def _Call(self, request, context): - # missing associated documentation comment in .proto file - pass - context.set_code(grpc.StatusCode.UNIMPLEMENTED) - context.set_details('Method not implemented!') - raise NotImplementedError('Method not implemented!') - - def TrainStream(self, request_iterator, context): + def Call(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') - def IndexStream(self, request_iterator, context): + def RequestStreamCall(self, request_iterator, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) @@ -111,18 +99,13 @@ def add_GnesRPCServicer_to_server(servicer, server): request_deserializer=gnes__pb2.Request.FromString, response_serializer=gnes__pb2.Response.SerializeToString, ), - '_Call': grpc.unary_unary_rpc_method_handler( - servicer._Call, - request_deserializer=gnes__pb2.Request.FromString, - response_serializer=gnes__pb2.Response.SerializeToString, - ), - 'TrainStream': grpc.stream_unary_rpc_method_handler( - servicer.TrainStream, + 'Call': grpc.unary_unary_rpc_method_handler( + servicer.Call, request_deserializer=gnes__pb2.Request.FromString, response_serializer=gnes__pb2.Response.SerializeToString, ), - 'IndexStream': grpc.stream_unary_rpc_method_handler( - servicer.IndexStream, + 'RequestStreamCall': grpc.stream_unary_rpc_method_handler( + servicer.RequestStreamCall, request_deserializer=gnes__pb2.Request.FromString, response_serializer=gnes__pb2.Response.SerializeToString, ), diff --git a/gnes/service/grpc.py b/gnes/service/grpc.py index 1f167317..d5df3001 100644 --- a/gnes/service/grpc.py +++ b/gnes/service/grpc.py @@ -29,7 +29,7 @@ __all__ = ['GRPCFrontend'] -class ZmqContext(object): +class ZmqContext: """The zmq context class.""" def __init__(self, args): @@ -111,32 +111,29 @@ def add_envelope(self, body: 'gnes_pb2.Request', zmq_client: 'ZmqClient'): msg.request.CopyFrom(body) return msg - def _Call(self, request, context): + def remove_envelope(self, m: 'gnes_pb2.Message'): + resp = m.response + resp.request_id = m.envelope.request_id + return resp + + def Call(self, request, context): self.logger.info('received a new request: %s' % request.request_id or 'EMPTY_REQUEST_ID') with self.zmq_context as zmq_client: - msg = self.add_envelope(request, zmq_client) - zmq_client.send_message(msg, self.args.timeout) - resp = zmq_client.recv_message(self.args.timeout) - self.logger.info("received message done!") - return resp.response + zmq_client.send_message(self.add_envelope(request, zmq_client), self.args.timeout) + return self.remove_envelope(zmq_client.recv_message(self.args.timeout)) def Train(self, request, context): - return self._Call(request, context) + return self.Call(request, context) def Index(self, request, context): - return self._Call(request, context) + return self.Call(request, context) def Search(self, request, context): - return self._Call(request, context) - - def TrainStream(self, request_iterator, context): - for request in request_iterator: - ret = self._Call(request, context) - return ret + return self.Call(request, context) - def IndexStream(self, request_iterator, context): + def RequestStreamCall(self, request_iterator, context): for request in request_iterator: - ret = self._Call(request, context) + ret = self.Call(request, context) return ret diff --git a/shell/make-proto.sh b/shell/make-proto.sh index e1cd71a0..78f6c4e3 100755 --- a/shell/make-proto.sh +++ b/shell/make-proto.sh @@ -1,8 +1,8 @@ #!/usr/bin/env bash SRC_DIR=../gnes/proto/ -#PLUGIN_PATH=/Volumes/TOSHIBA-4T/Documents/grpc/bins/opt/grpc_python_plugin -PLUGIN_PATH=/user/local/grpc/bins/opt/grpc_python_plugin +PLUGIN_PATH=/Volumes/TOSHIBA-4T/Documents/grpc/bins/opt/grpc_python_plugin +#PLUGIN_PATH=/user/local/grpc/bins/opt/grpc_python_plugin protoc -I ${SRC_DIR} --python_out=${SRC_DIR} --grpc_python_out=${SRC_DIR} --plugin=protoc-gen-grpc_python=${PLUGIN_PATH} ${SRC_DIR}gnes.proto diff --git a/tests/test_stream_grpc.py b/tests/test_stream_grpc.py new file mode 100644 index 00000000..576c14eb --- /dev/null +++ b/tests/test_stream_grpc.py @@ -0,0 +1,45 @@ +import os +import unittest.mock + +import grpc + +from gnes.cli.parser import set_grpc_frontend_parser, set_router_service_parser +from gnes.helper import TimeContext +from gnes.proto import RequestGenerator, gnes_pb2_grpc +from gnes.service.base import SocketType +from gnes.service.grpc import GRPCFrontend +from gnes.service.router import RouterService + + +class TestStreamgRPC(unittest.TestCase): + + def setUp(self): + self.all_bytes = [b'abc', b'def', b'cde'] * 10 + + @unittest.mock.patch.dict(os.environ, {'http_proxy': '', 'https_proxy': ''}) + def test_grpc_frontend(self): + args = set_grpc_frontend_parser().parse_args([ + '--grpc_host', '127.0.0.1', + ]) + + p_args = set_router_service_parser().parse_args([ + '--port_in', str(args.port_out), + '--port_out', str(args.port_in), + '--socket_in', str(SocketType.PULL_CONNECT), + '--socket_out', str(SocketType.PUSH_CONNECT), + ]) + + with RouterService(p_args), GRPCFrontend(args), grpc.insecure_channel( + '%s:%s' % (args.grpc_host, args.grpc_port), + options=[('grpc.max_send_message_length', 70 * 1024 * 1024), + ('grpc.max_receive_message_length', 70 * 1024 * 1024)]) as channel: + stub = gnes_pb2_grpc.GnesRPCStub(channel) + with TimeContext('sync call'): # about 5s + resp = stub.RequestStreamCall(RequestGenerator.train(self.all_bytes, 1)) + + self.assertEqual(resp.request_id, str(len(self.all_bytes))) # idx start with 0, but +1 for final FLUSH + + # test async calls + with TimeContext('async call'): # immeidiately returns 0.001 s + resp = stub.RequestStreamCall.future(RequestGenerator.train(self.all_bytes, 1)) + self.assertEqual(resp.result().request_id, str(len(self.all_bytes))) From ade59e8198b53f4d9ddd671cae38ca6c28960975 Mon Sep 17 00:00:00 2001 From: Han Xiao Date: Wed, 24 Jul 2019 19:35:29 +0800 Subject: [PATCH 49/49] Update __init__.py --- gnes/proto/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/gnes/proto/__init__.py b/gnes/proto/__init__.py index a13e11a9..d8a114b9 100644 --- a/gnes/proto/__init__.py +++ b/gnes/proto/__init__.py @@ -32,7 +32,7 @@ def index(data: List[bytes], batch_size: int = 0, start_id: int = 0, *args, **kw for pi in batch_iterator(data, batch_size): req = gnes_pb2.Request() - req.request_id = start_id + req.request_id = str(start_id) for raw_bytes in pi: d = req.index.docs.add() d.raw_bytes = raw_bytes