redisai-go

README

RedisAI Go Client

Go client for RedisAI, based on redigo.

Installing

go get github.com/RedisAI/redisai-go/redisai

Supported RedisAI Commands

Command	Recommended API and godoc
AI.TENSORSET	TensorSet and TensorSetFromTensor
AI.TENSORGET	TensorGet and TensorGetToTensor
AI.MODELSET	ModelSet and ModelSetFromModel
AI.MODELGET	ModelGet and ModelGetToModel
AI.MODELDEL	ModelDel
AI.MODELRUN	ModelRun
AI._MODELSCAN
AI.SCRIPTSET	ScriptSet
AI.SCRIPTGET	ScriptGet
AI.SCRIPTDEL	ScriptDel
AI.SCRIPTRUN	ScriptRun
AI._SCRIPTSCAN
AI.DAGRUN	DagRun
AI.DAGRUN_RO	DagRunRO
AI.INFO	Info
AI.CONFIG *	LoadBackend

Usage Examples

See the examples folder for further feature samples:

Simple Client

(sample code here)

package main

import (
	"fmt"
	"github.com/RedisAI/redisai-go/redisai"
	"log"
)

func main() {

	// Create a client.
	client := redisai.Connect("redis://localhost:6379", nil)

	// Set a tensor
	// AI.TENSORSET foo FLOAT 2 2 VALUES 1.1 2.2 3.3 4.4
	_ = client.TensorSet("foo", redisai.TypeFloat, []int64{2, 2}, []float32{1.1, 2.2, 3.3, 4.4})

	// Get a tensor content as a slice of values
	// dt DataType, shape []int, data interface{}, err error
	// AI.TENSORGET foo VALUES
	_, _, fooTensorValues, err := client.TensorGetValues("foo")

	if err != nil {
		log.Fatal(err)
	}

	fmt.Println(fooTensorValues)
	// Output: [1.1 2.2 3.3 4.4]
}

Pipelined Client

(sample code here)

package main

import (
	"fmt"
	"github.com/RedisAI/redisai-go/redisai"
	"log"
)

func main() {

	// Create a client.
	client := redisai.Connect("redis://localhost:6379", nil)

	// Enable pipeline of commands on the client.
	client.Pipeline(3)

	// Set a tensor
	// AI.TENSORSET foo FLOAT 2 2 VALUES 1.1 2.2 3.3 4.4
	err := client.TensorSet("foo1", redisai.TypeFloat, []int64{2, 2}, []float32{1.1, 2.2, 3.3, 4.4})
	if err != nil {
		log.Fatal(err)
	}
	// AI.TENSORSET foo2 FLOAT 1" 1 VALUES 1.1
	err = client.TensorSet("foo2", redisai.TypeFloat, []int64{1, 1}, []float32{1.1})
	if err != nil {
		log.Fatal(err)
	}
	// AI.TENSORGET foo2 META
	_, err = client.TensorGet("foo2", redisai.TensorContentTypeMeta)
	if err != nil {
		log.Fatal(err)
	}
	// Ignore the AI.TENSORSET Reply
	_, err = client.Receive()
	if err != nil {
		log.Fatal(err)
	}
	// Ignore the AI.TENSORSET Reply
	_, err = client.Receive()
	if err != nil {
		log.Fatal(err)
	}
	foo2TensorMeta, err := client.Receive()
	if err != nil {
		log.Fatal(err)
	}

	fmt.Println(foo2TensorMeta)
	// Output: [FLOAT [1 1]]
}