*: Refactor the structure

README.md

@@ -95,10 +95,10 @@ Katib provides a Web UI based on ModelDB(https://github.com/mitdbg/modeldb). The
 In addition to TensorFlow, other deep learning frameworks (e.g. PyTorch, MXNet) support TensorBoard format logging.
 Katib integrates with TensorBoard easily. To use TensorBoard from Katib, we define a persistent volume claim and set the mount config for the Study. Katib searches each trial log in `{pvc mount path}/logs/{Study ID}/{Trial ID}`.
 `{{STUDY_ID}}` and  `{{TRIAL_ID}}` in the Studyconfig file are replaced the corresponding value when creating each job.
-See example `conf/tf-nmt.yml` which is a config for parameter tuning of [tensorflow/nmt](https://github.com/tensorflow/nmt).
+See example `examples/tf-nmt.yml` which is a config for parameter tuning of [tensorflow/nmt](https://github.com/tensorflow/nmt).
 
 ```bash
-./katib-cli -s gpu-node2:30678 -f ../conf/tf-nmt.yml Createstudy
+./katib-cli -s gpu-node2:30678 -f ../examples/tf-nmt.yml Createstudy
 2018/04/03 05:52:11 connecting gpu-node2:30678
 2018/04/03 05:52:11 study conf{tf-nmt root MINIMIZE 0 configs:<name:"--num_train_steps" parameter_type:INT feasible:<max:"1000" min:"1000" > > configs:<name:"--dropout" parameter_type:DOUBLE feasible:<max:"0.3" min:"0.1" > > configs:<name:"--beam_width" parameter_type:INT feasible:<max:"15" min:"5" > > configs:<name:"--num_units" parameter_type:INT feasible:<max:"1026" min:"256" > > configs:<name:"--attention" parameter_type:CATEGORICAL feasible:<list:"luong" list:"scaled_luong" list:"bahdanau" list:"normed_bahdanau" > > configs:<name:"--decay_scheme" parameter_type:CATEGORICAL feasible:<list:"luong234" list:"luong5" list:"luong10" > > configs:<name:"--encoder_type" parameter_type:CATEGORICAL feasible:<list:"bi" list:"uni" > >  [] random median  [name:"SuggestionNum" value:"10"  name:"MaxParallel" value:"6" ] [] test_ppl [ppl bleu_dev bleu_test] yujioshima/tf-nmt:latest-gpu [python -m nmt.nmt --src=vi --tgt=en --out_dir=/nfs-mnt/logs/{{STUDY_ID}}_{{TRIAL_ID}} --vocab_prefix=/nfs-mnt/learndatas/wmt15_en_vi/vocab --train_prefix=/nfs-mnt/learndatas/wmt15_en_vi/train --dev_prefix=/nfs-mnt/learndatas/wmt15_en_vi/tst2012 --test_prefix=/nfs-mnt/learndatas/wmt15_en_vi/tst2013 --attention_architecture=standard --attention=normed_bahdanau --batch_size=128 --colocate_gradients_with_ops=true --eos=</s> --forget_bias=1.0 --init_weight=0.1 --learning_rate=1.0 --max_gradient_norm=5.0 --metrics=bleu --share_vocab=false --num_buckets=5 --optimizer=sgd --sos=<s> --steps_per_stats=100 --time_major=true --unit_type=lstm --src_max_len=50 --tgt_max_len=50 --infer_batch_size=32] 1 default-scheduler pvc:"nfs" path:"/nfs-mnt"  }
 2018/04/03 05:52:11 req Createstudy

cli/Dockerfile → cmd/cli/Dockerfile

@@ -1,9 +1,9 @@
 FROM golang:alpine AS build-env
 # The GOPATH in the image is /go.
 ADD . /go/src/github.com/kubeflow/katib
-WORKDIR /go/src/github.com/kubeflow/katib/cli
+WORKDIR /go/src/github.com/kubeflow/katib/cmd/cli
 RUN go build -o katib-cli
 
 FROM alpine:3.7
 WORKDIR /app
-COPY --from=build-env /go/src/github.com/kubeflow/katib/cli/katib-cli /app/
+COPY --from=build-env /go/src/github.com/kubeflow/katib/cmd/cli/katib-cli /app/

cli/main.go → cmd/cli/main.go

@@ -12,7 +12,7 @@ import (
 
 	"google.golang.org/grpc"
 
-	pb "github.com/kubeflow/katib/api"
+	pb "github.com/kubeflow/katib/pkg/api"
 )
 
 var server = flag.String("s", "127.0.0.1:6789", "server address")

earlystopping/medianstopping/Dockerfile → cmd/earlystopping/medianstopping/Dockerfile

@@ -1,10 +1,10 @@
 FROM golang:alpine AS build-env
 # The GOPATH in the image is /go.
 ADD . /go/src/github.com/kubeflow/katib
-WORKDIR /go/src/github.com/kubeflow/katib/earlystopping/medianstopping
+WORKDIR /go/src/github.com/kubeflow/katib/cmd/earlystopping/medianstopping
 RUN go build -o medianstopping
 
 FROM alpine:3.7
 WORKDIR /app
-COPY --from=build-env /go/src/github.com/kubeflow/katib/earlystopping/medianstopping /app/
+COPY --from=build-env /go/src/github.com/kubeflow/katib/cmd/earlystopping/medianstopping /app/
 ENTRYPOINT ["./medianstopping"]

earlystopping/medianstopping/main.go → cmd/earlystopping/medianstopping/main.go

@@ -7,8 +7,8 @@ import (
 	"google.golang.org/grpc"
 	"google.golang.org/grpc/reflection"
 
-	pb "github.com/kubeflow/katib/api"
-	"github.com/kubeflow/katib/earlystopping"
+	pb "github.com/kubeflow/katib/pkg/api"
+	"github.com/kubeflow/katib/pkg/earlystopping"
 )
 
 func main() {

cmd/manager/Dockerfile

@@ -0,0 +1,12 @@
+FROM golang:alpine AS build-env
+# The GOPATH in the image is /go.
+ADD . /go/src/github.com/kubeflow/katib
+WORKDIR /go/src/github.com/kubeflow/katib/cmd/manager
+RUN go build -o vizier-manager
+
+FROM alpine:3.7
+WORKDIR /app
+COPY --from=build-env /go/src/github.com/kubeflow/katib/cmd/manager/vizier-manager /app/
+COPY --from=build-env /go/src/github.com/kubeflow/katib/pkg/manager/visualise /
+ENTRYPOINT ["./vizier-manager"]
+CMD ["-w", "dlk"]

manager/main.go → cmd/manager/main.go

@@ -9,14 +9,14 @@ import (
 	"strconv"
 	"time"
 
-	pb "github.com/kubeflow/katib/api"
-	kdb "github.com/kubeflow/katib/db"
-	"github.com/kubeflow/katib/manager/modelstore"
-	tbif "github.com/kubeflow/katib/manager/visualise/tensorboard"
-	"github.com/kubeflow/katib/manager/worker_interface"
-	dlkwif "github.com/kubeflow/katib/manager/worker_interface/dlk"
-	k8swif "github.com/kubeflow/katib/manager/worker_interface/kubernetes"
-	nvdwif "github.com/kubeflow/katib/manager/worker_interface/nvdocker"
+	pb "github.com/kubeflow/katib/pkg/api"
+	kdb "github.com/kubeflow/katib/pkg/db"
+	"github.com/kubeflow/katib/pkg/manager/modelstore"
+	tbif "github.com/kubeflow/katib/pkg/manager/visualise/tensorboard"
+	"github.com/kubeflow/katib/pkg/manager/worker_interface"
+	dlkwif "github.com/kubeflow/katib/pkg/manager/worker_interface/dlk"
+	k8swif "github.com/kubeflow/katib/pkg/manager/worker_interface/kubernetes"
+	nvdwif "github.com/kubeflow/katib/pkg/manager/worker_interface/nvdocker"
 
 	"google.golang.org/grpc"
 	"google.golang.org/grpc/reflection"
@@ -394,6 +394,7 @@ func main() {
 	switch *workerType {
 	case "kubernetes":
 		log.Printf("Worker: kubernetes\n")
+		// Notice: Missing in the repo.
 		kc, err := clientcmd.BuildConfigFromFlags("", "/conf/kubeconfig")
 		if err != nil {
 			log.Fatal(err)

manager/main_test.go → cmd/manager/main_test.go

@@ -6,10 +6,10 @@ import (
 
 	"github.com/golang/mock/gomock"
 
-	api "github.com/kubeflow/katib/api"
-	mockdb "github.com/kubeflow/katib/mock/db"
-	mockmodelstore "github.com/kubeflow/katib/mock/modelstore"
-	mockworker "github.com/kubeflow/katib/mock/worker"
+	api "github.com/kubeflow/katib/pkg/api"
+	mockdb "github.com/kubeflow/katib/pkg/mock/db"
+	mockmodelstore "github.com/kubeflow/katib/pkg/mock/modelstore"
+	mockworker "github.com/kubeflow/katib/pkg/mock/worker"
 )
 
 func TestCreateStudy(t *testing.T) {

suggestion/bayesianoptimization/Dockerfile → cmd/suggestion/bayesianoptimization/Dockerfile

@@ -1,7 +1,7 @@
 FROM python:3
 
 ADD . /usr/src/app/github.com/kubeflow/katib
-WORKDIR /usr/src/app/github.com/kubeflow/katib/suggestion/bayesianoptimization
+WORKDIR /usr/src/app/github.com/kubeflow/katib/cmd/suggestion/bayesianoptimization
 RUN pip install --no-cache-dir -r requirements.txt
 ENV PYTHONPATH /usr/src/app/github.com/kubeflow/katib
 

suggestion/bayesianoptimization/main.py → cmd/suggestion/bayesianoptimization/main.py

@@ -3,9 +3,9 @@
 
 import time
 
-from api.python import api_pb2_grpc
-from suggestion.bayesian_service import BayesianService
-from suggestion.types import DEFAULT_PORT
+from pkg.api.python import api_pb2_grpc
+from pkg.suggestion.bayesian_service import BayesianService
+from pkg.suggestion.types import DEFAULT_PORT
 
 _ONE_DAY_IN_SECONDS = 60 * 60 * 24
 
@@ -14,6 +14,7 @@ def serve():
     server = grpc.server(futures.ThreadPoolExecutor(max_workers=10))
     api_pb2_grpc.add_SuggestionServicer_to_server(BayesianService(), server)
     server.add_insecure_port(DEFAULT_PORT)
+    print("Listening...")
     server.start()
     try:
         while True:

suggestion/grid/Dockerfile → cmd/suggestion/grid/Dockerfile

@@ -1,10 +1,10 @@
 FROM golang:alpine AS build-env
 # The GOPATH in the image is /go.
 ADD . /go/src/github.com/kubeflow/katib
-WORKDIR /go/src/github.com/kubeflow/katib/suggestion/grid
+WORKDIR /go/src/github.com/kubeflow/katib/cmd/suggestion/grid
 RUN go build -o grid
 
 FROM alpine:3.7
 WORKDIR /app
-COPY --from=build-env /go/src/github.com/kubeflow/katib/suggestion/grid /app/
+COPY --from=build-env /go/src/github.com/kubeflow/katib/cmd/suggestion/grid /app/
 ENTRYPOINT ["./grid"]

suggestion/grid/main.go → cmd/suggestion/grid/main.go

@@ -7,8 +7,8 @@ import (
 	"google.golang.org/grpc"
 	"google.golang.org/grpc/reflection"
 
-	pb "github.com/kubeflow/katib/api"
-	"github.com/kubeflow/katib/suggestion"
+	pb "github.com/kubeflow/katib/pkg/api"
+	"github.com/kubeflow/katib/pkg/suggestion"
 )
 
 func main() {

suggestion/hyperband/Dockerfile → cmd/suggestion/hyperband/Dockerfile

@@ -1,10 +1,10 @@
 FROM golang:alpine AS build-env
 # The GOPATH in the image is /go.
 ADD . /go/src/github.com/kubeflow/katib
-WORKDIR /go/src/github.com/kubeflow/katib/suggestion/hyperband
+WORKDIR /go/src/github.com/kubeflow/katib/cmd/suggestion/hyperband
 RUN go build -o hyperband
 
 FROM alpine:3.7
 WORKDIR /app
-COPY --from=build-env /go/src/github.com/kubeflow/katib/suggestion/hyperband /app/
+COPY --from=build-env /go/src/github.com/kubeflow/katib/cmd/suggestion/hyperband /app/
 ENTRYPOINT ["./hyperband"]

suggestion/hyperband/main.go → cmd/suggestion/hyperband/main.go

@@ -7,8 +7,8 @@ import (
 	"google.golang.org/grpc"
 	"google.golang.org/grpc/reflection"
 
-	pb "github.com/kubeflow/katib/api"
-	"github.com/kubeflow/katib/suggestion"
+	pb "github.com/kubeflow/katib/pkg/api"
+	"github.com/kubeflow/katib/pkg/suggestion"
 )
 
 func main() {

suggestion/random/Dockerfile → cmd/suggestion/random/Dockerfile

@@ -1,10 +1,10 @@
 FROM golang:alpine AS build-env
 # The GOPATH in the image is /go.
 ADD . /go/src/github.com/kubeflow/katib
-WORKDIR /go/src/github.com/kubeflow/katib/suggestion/random
+WORKDIR /go/src/github.com/kubeflow/katib/cmd/suggestion/random
 RUN go build -o random
 
 FROM alpine:3.7
 WORKDIR /app
-COPY --from=build-env /go/src/github.com/kubeflow/katib/suggestion/random /app/
+COPY --from=build-env /go/src/github.com/kubeflow/katib/cmd/suggestion/random /app/
 ENTRYPOINT ["./random"]

suggestion/random/main.go → cmd/suggestion/random/main.go

@@ -7,8 +7,8 @@ import (
 	"google.golang.org/grpc"
 	"google.golang.org/grpc/reflection"
 
-	pb "github.com/kubeflow/katib/api"
-	"github.com/kubeflow/katib/suggestion"
+	pb "github.com/kubeflow/katib/pkg/api"
+	"github.com/kubeflow/katib/pkg/suggestion"
 )
 
 func main() {

docs/developer-guide.md

@@ -9,7 +9,7 @@
 You can build all images from source.
 
 ```bash
-./build.sh
+./scripts/build.sh
 ```
 
 ## Implement new suggestion algorithm

docs/getting-start.md

@@ -50,7 +50,7 @@ StudyID                 Name    Owner   RunningTrial    CompletedTrial
 Try Createstudy. Study will be created and start hyperparameter search.
 
 ```bash
-$ katib-cli -s gpu-node2:30678 -f ../conf/random.yml Createstudy
+$ katib-cli -s gpu-node2:30678 -f ../examples/random.yml Createstudy
 2018/04/03 05:16:37 connecting gpu-node2:30678
 2018/04/03 05:16:37 study conf{cifer10 root MAXIMIZE 0 configs:<name:"--lr" parameter_type:DOUBLE feasible:<max:"0.07" min:"0.03" > > configs:<name:"--lr-factor" parameter_type:DOUBLE feasible:<max:"0.2" min:"0.05" > > configs:<name:"--max-random-h" parameter_type:INT feasible:<max:"46" min:"26" > > configs:<name:"--max-random-l" parameter_type:INT feasible:<max:"75" min:"25" > > configs:<name:"--num-epochs" parameter_type:INT feasible:<max:"3" min:"3" > >  [] random median  [name:"SuggestionNum" value:"2"  name:"MaxParallel" value:"2" ] [] Validation-accuracy [accuracy] mxnet/python:gpu [python /mxnet/example/image-classification/train_cifar10.py --batch-size=512 --gpus=0,1] 2 default-scheduler <nil> }
 2018/04/03 05:16:37 req Createstudy
@@ -215,7 +215,7 @@ parameterconfigs:
 ```
 
 ```bash
-$ katib-cli -s gpu-node2:30678 -f ../conf/random-pv.yml Createstudy
+$ katib-cli -s gpu-node2:30678 -f ../examples/random-pv.yml Createstudy
 2018/04/03 05:49:47 connecting gpu-node2:30678
 2018/04/03 05:49:47 study conf{cifer10-pv-test root MAXIMIZE 0 configs:<name:"--lr" parameter_type:DOUBLE feasible:<max:"0.07" min:"0.03" > > configs:<name:"--lr-factor" parameter_type:DOUBLE feasible:<max:"0.2" min:"0.05" > > configs:<name:"--max-random-h" parameter_type:INT feasible:<max:"46" min:"26" > > configs:<name:"--max-random-l" parameter_type:INT feasible:<max:"75" min:"25" > > configs:<name:"--num-epochs" parameter_type:INT feasible:<max:"3" min:"3" > >  [] random median  [name:"SuggestionNum" value:"2"  name:"MaxParallel" value:"2" ] [] Validation-accuracy [accuracy] mxnet/python:gpu [python /mxnet/example/image-classification/train_cifar10.py --batch-size=512 --gpus=0,1] 2 default-scheduler pvc:"nfs" path:"/nfs-mnt"  }
 2018/04/03 05:49:47 req Createstudy

api/python/api_pb2_grpc.py → pkg/api/python/api_pb2_grpc.py

@@ -1,7 +1,7 @@
 # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
 import grpc
 
-import api.python.api_pb2 as api__pb2
+import pkg.api.python.api_pb2 as api__pb2
 
 
 class ManagerStub(object):

db/interface.go → pkg/db/interface.go

@@ -12,7 +12,7 @@ import (
 	"strings"
 	"time"
 
-	api "github.com/kubeflow/katib/api"
+	api "github.com/kubeflow/katib/pkg/api"
 
 	_ "github.com/go-sql-driver/mysql"
 )

db/interface_test.go → pkg/db/interface_test.go

@@ -14,7 +14,7 @@ import (
 	"github.com/golang/protobuf/jsonpb"
 	"gopkg.in/DATA-DOG/go-sqlmock.v1"
 
-	api "github.com/kubeflow/katib/api"
+	api "github.com/kubeflow/katib/pkg/api"
 )
 
 var db_interface VizierDBInterface

db/test/test.go → pkg/db/test/test.go

@@ -2,7 +2,7 @@ package main
 
 import (
 	"fmt"
-	"github.com/kubeflow/katib/db"
+	"github.com/kubeflow/katib/pkg/db"
 	"os"
 )
 

earlystopping/medianstopping.go → pkg/earlystopping/medianstopping.go

@@ -3,8 +3,8 @@ package earlystopping
 import (
 	"context"
 	"errors"
-	"github.com/kubeflow/katib/api"
-	vdb "github.com/kubeflow/katib/db"
+	"github.com/kubeflow/katib/pkg/api"
+	vdb "github.com/kubeflow/katib/pkg/db"
 	"log"
 	"sort"
 	"strconv"

earlystopping/types.go → pkg/earlystopping/types.go

@@ -3,7 +3,7 @@ package earlystopping
 import (
 	"context"
 
-	"github.com/kubeflow/katib/api"
+	"github.com/kubeflow/katib/pkg/api"
 )
 
 const (

manager/modelstore/modeldb.go → pkg/manager/modelstore/modeldb.go

@@ -4,8 +4,8 @@ import (
 	"context"
 	"fmt"
 	"git.apache.org/thrift.git/lib/go/thrift"
-	"github.com/kubeflow/katib/api"
-	"github.com/kubeflow/katib/manager/modelstore/modeldb"
+	"github.com/kubeflow/katib/pkg/api"
+	"github.com/kubeflow/katib/pkg/manager/modelstore/modeldb"
 	"log"
 	"net"
 	"strconv"

manager/modelstore/modelstore.go → pkg/manager/modelstore/modelstore.go

@@ -1,7 +1,7 @@
 package modelstore
 
 import (
-	"github.com/kubeflow/katib/api"
+	"github.com/kubeflow/katib/pkg/api"
 )
 
 type ModelStore interface {

manager/visualise/tensorboard/tensorboardIF.go → pkg/manager/visualise/tensorboard/tensorboardIF.go

@@ -2,7 +2,7 @@ package tensorboard
 
 import (
 	"bytes"
-	"github.com/kubeflow/katib/api"
+	"github.com/kubeflow/katib/pkg/api"
 	"io/ioutil"
 	apiv1 "k8s.io/api/core/v1"
 	exbeatav1 "k8s.io/api/extensions/v1beta1"

manager/worker_interface/dlk/dlk.go → pkg/manager/worker_interface/dlk/dlk.go

@@ -4,11 +4,11 @@ import (
 	"bytes"
 	"encoding/json"
 	"fmt"
-	"github.com/kubeflow/katib/api"
-	"github.com/kubeflow/katib/db"
+	"github.com/kubeflow/katib/pkg/api"
+	"github.com/kubeflow/katib/pkg/db"
 	dlkapi "github.com/kubeflow/katib/dlk/dlkmanager/api"
 	"github.com/kubeflow/katib/dlk/dlkmanager/datastore"
-	wIF "github.com/kubeflow/katib/manager/worker_interface"
+	wIF "github.com/kubeflow/katib/pkg/manager/worker_interface"
 	"io/ioutil"
 	"log"
 	"net/http"