mirror of https://github.com/milvus-io/milvus.git
46 lines
1.2 KiB
Go
46 lines
1.2 KiB
Go
// Licensed to the LF AI & Data foundation 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.
|
|
|
|
package indexnode
|
|
|
|
import "math/rand"
|
|
|
|
const (
|
|
dim = 8
|
|
nb = 10000
|
|
nprobe = 8
|
|
)
|
|
|
|
func generateFloatVectors() []float32 {
|
|
vectors := make([]float32, 0)
|
|
for i := 0; i < nb; i++ {
|
|
for j := 0; j < dim; j++ {
|
|
vectors = append(vectors, rand.Float32())
|
|
}
|
|
}
|
|
return vectors
|
|
}
|
|
|
|
func generateBinaryVectors() []byte {
|
|
vectors := make([]byte, 0)
|
|
for i := 0; i < nb; i++ {
|
|
for j := 0; j < dim/8; j++ {
|
|
vectors = append(vectors, byte(rand.Intn(8)))
|
|
}
|
|
}
|
|
return vectors
|
|
}
|