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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
/*!
* \brief Sample golang application deployment over tvm.
* \file simple.go
*/
package main
import (
"fmt"
"runtime"
"./gotvm"
"math/rand"
)
// NNVM compiled model paths.
const (
modLib = "./deploy.so"
)
// main
func main() {
// Welcome
defer runtime.GC()
fmt.Printf("TVM Version : v%v\n", gotvm.TVMVersion)
fmt.Printf("DLPACK Version: v%v\n\n", gotvm.DLPackVersion)
// Import tvm module (so)
modp, _ := gotvm.LoadModuleFromFile(modLib)
fmt.Printf("Module Imported\n")
// Allocate Array for inputs and outputs.
// Allocation by explicit type and context.
tshapeIn := []int64{4}
inX, _ := gotvm.Empty(tshapeIn, "float32", gotvm.CPU(0))
// Default allocation on CPU
inY, _ := gotvm.Empty(tshapeIn, "float32")
// Default allocation to type "float32" and on CPU
out, _ := gotvm.Empty(tshapeIn)
fmt.Printf("Input and Output Arrays allocated\n")
// Fill Input Data : inX , inY
inXSlice := make([]float32, 4)
inYSlice := make([]float32, 4)
for i := range inXSlice {
inXSlice[i] = rand.Float32()
inYSlice[i] = rand.Float32()
}
// Copy the data on target memory through runtime CopyFrom api.
inX.CopyFrom(inXSlice)
inY.CopyFrom(inYSlice)
fmt.Printf("X: %v\n", inXSlice)
fmt.Printf("Y: %v\n", inYSlice)
// Get function "myadd"
funp, _ := modp.GetFunction("myadd")
// Call function
funp.Invoke(inX, inY, out)
fmt.Printf("Module function myadd executed\n")
// Get the output tensor as an interface holding a slice through runtime CopyTo api.
outSlice, _ := out.AsSlice()
// Print results
fmt.Printf("Result:%v\n", outSlice.([]float32))
}