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// | ||
// Copyright (C) 2019-2023 vdaas.org vald team <[email protected]> | ||
// | ||
// Licensed 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 | ||
// | ||
// https://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. | ||
// | ||
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||
// Package ngt provides implementation of Go API for https://github.com/yahoojapan/NGT | ||
package main | ||
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import ( | ||
"context" | ||
"fmt" | ||
"net/http" | ||
"os" | ||
"os/signal" | ||
"runtime" | ||
"strings" | ||
"sync" | ||
"syscall" | ||
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"github.com/vdaas/vald/internal/core/algorithm/ngt" | ||
"github.com/vdaas/vald/internal/log" | ||
"github.com/vdaas/vald/internal/net/http/metrics" | ||
"gonum.org/v1/hdf5" | ||
) | ||
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func main() { | ||
vectors, _, _ := load(os.Getenv("DATA_PATH")) | ||
n, _ := ngt.New( | ||
ngt.WithDimension(len(vectors[0])), | ||
ngt.WithDefaultPoolSize(8), | ||
ngt.WithObjectType(ngt.Float), | ||
ngt.WithDistanceType(ngt.L2), | ||
) | ||
pid := os.Getpid() | ||
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log.Infof("# of vectors: %v", len(vectors)) | ||
output := func(header string) { | ||
status := fmt.Sprintf("/proc/%d/status", pid) | ||
buf, err := os.ReadFile(status) | ||
if err != nil { | ||
log.Fatal(err) | ||
} | ||
var vmpeak, vmrss, vmhwm string | ||
for _, line := range strings.Split(string(buf), "\n") { | ||
switch { | ||
case strings.HasPrefix(line, "VmPeak"): | ||
vmpeak = strings.Fields(line)[1] | ||
case strings.HasPrefix(line, "VmHWM"): | ||
vmhwm = strings.Fields(line)[1] | ||
case strings.HasPrefix(line, "VmRSS"): | ||
vmrss = strings.Fields(line)[1] | ||
} | ||
} | ||
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var m runtime.MemStats | ||
runtime.ReadMemStats(&m) | ||
log.Infof("%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t%v", header, vmpeak, vmhwm, vmrss, m.Alloc/1024, m.TotalAlloc/1024, m.HeapAlloc/1024, m.HeapSys/1024, m.HeapInuse/1024) | ||
} | ||
log.Info(" operation\tVmPeak\tVmHWM\tVmRSS\tAlloc\tTotalAlloc\tHeapAlloc\tHeapSys\tHeapInuse") | ||
output(" start") | ||
defer output(" end") | ||
ctx, cancel := context.WithCancel(context.Background()) | ||
wg := sync.WaitGroup{} | ||
wg.Add(1) | ||
go func() { | ||
wg.Done() | ||
srv := &http.Server{ | ||
Addr: "0.0.0.0:6060", | ||
Handler: metrics.NewPProfHandler(), | ||
} | ||
go srv.ListenAndServe() | ||
<-ctx.Done() | ||
srv.Shutdown(context.Background()) | ||
}() | ||
wg.Add(1) | ||
go func() { | ||
for { | ||
select { | ||
case <-ctx.Done(): | ||
wg.Done() | ||
return | ||
default: | ||
ids := make([]uint, len(vectors)) | ||
for i, vector := range vectors { | ||
id, err := n.Insert(vector) | ||
if err != nil { | ||
log.Fatal(err) | ||
} | ||
ids[i] = id | ||
} | ||
output(" insert") | ||
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if err := n.CreateIndex(8); err != nil { | ||
log.Fatal(err) | ||
} | ||
output("create index") | ||
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for _, id := range ids { | ||
if err := n.Remove(id); err != nil { | ||
log.Fatal(err) | ||
} | ||
} | ||
output(" remove") | ||
} | ||
} | ||
}() | ||
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ch := make(chan os.Signal) | ||
signal.Notify(ch, os.Interrupt, syscall.SIGTERM) | ||
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<-ch | ||
cancel() | ||
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wg.Wait() | ||
} | ||
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// load function loads training and test vector from hdf file. The size of ids is same to the number of training data. | ||
// Each id, which is an element of ids, will be set a random number. | ||
func load(path string) (train, test [][]float32, err error) { | ||
var f *hdf5.File | ||
f, err = hdf5.OpenFile(path, hdf5.F_ACC_RDONLY) | ||
if err != nil { | ||
return nil, nil, err | ||
} | ||
defer f.Close() | ||
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// readFn function reads vectors of the hierarchy with the given the name. | ||
readFn := func(name string) ([][]float32, error) { | ||
// Opens and returns a named Dataset. | ||
// The returned dataset must be closed by the user when it is no longer needed. | ||
d, err := f.OpenDataset(name) | ||
if err != nil { | ||
return nil, err | ||
} | ||
defer d.Close() | ||
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// Space returns an identifier for a copy of the dataspace for a dataset. | ||
sp := d.Space() | ||
defer sp.Close() | ||
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// SimpleExtentDims returns dataspace dimension size and maximum size. | ||
dims, _, _ := sp.SimpleExtentDims() | ||
row, dim := int(dims[0]), int(dims[1]) | ||
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// Gets the stored vector. All are represented as one-dimensional arrays. | ||
// The type of the slice depends on your dataset. | ||
// For fashion-mnist-784-euclidean.hdf5, the datatype is float32. | ||
vec := make([]float32, sp.SimpleExtentNPoints()) | ||
if err := d.Read(&vec); err != nil { | ||
return nil, err | ||
} | ||
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// Converts a one-dimensional array to a two-dimensional array. | ||
// Use the `dim` variable as a separator. | ||
vecs := make([][]float32, row) | ||
for i := 0; i < row; i++ { | ||
vecs[i] = make([]float32, dim) | ||
for j := 0; j < dim; j++ { | ||
vecs[i][j] = float32(vec[i*dim+j]) | ||
} | ||
} | ||
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return vecs, nil | ||
} | ||
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// Gets vector of `train` hierarchy. | ||
train, err = readFn("train") | ||
if err != nil { | ||
return nil, nil, err | ||
} | ||
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// Gets vector of `test` hierarchy. | ||
test, err = readFn("test") | ||
if err != nil { | ||
return nil, nil, err | ||
} | ||
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return | ||
} |
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